Abstract
Holothurians are the dominant megabenthic deposit feeders in the Peru Basin (SE Pacific) and feed to various degrees of selectivity on a heterogenous pool of sedimentary detritus, but drivers of feeding selectivity and diet preferences for most holothurian species are unknown. This study reconstructs the diets of 13 holothurian species of the orders Elasipodida, Holothuriida, and Synallactida. Bulk stable isotope analyses (δ13C, δ15N) of holothurian body wall and gut wall tissues, gut contents, and feces were combined with compound-specific stable isotope analyses of amino acids, phospholipid-derived fatty acids, and neutral-lipid-derived fatty acids in the body wall. We further assessed how holothurians in the Peru Basin partition their resources and calculated how much of the daily particulate organic carbon (POC) flux to the area is ingested by them using information about gut contents of nine species. To assess the dependence of holothurians on fresh phytodetritus, we performed in situ pulse-chase experiments using 13C- and 15N-enriched phytodetritus. By measuring the uptake of this phytodetritus in fatty acids and amino acids and by comparing it with the presence of these compounds in the sediment, we calculated net accumulation and net deficiency for specific fatty acids and amino acids and discussed how climate change might affect the dependence on specific compounds. A Sørensen–Dice coefficient-based cluster analysis using data from trophic levels, levels of heterotrophic re-synthesis of amino acids, feeding selectivity, and food sources/diet suggested two major trophic groups with two optional subgroups each. Species-specific traits of locomotion, tentacle morphology, and gut structure likely allow resource partitioning and differences in selectivity among the holothurians, of which a subpopulation of 65% of all specimens can ingest 4 to 27% of the daily POC flux to the Peru Basin. Holothurians are specifically dependent on the uptake of arachidonic acid from phytodetritus, while most essential amino acids are available in the Peru Basin in sufficient concentrations.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Holothurians are abundant epifauna in the deep sea (Billett et al. 2001; Ruhl 2007; Alt et al. 2013; Stratmann et al. 2018b) and they can be suspension or deposit feeders (Massin 1982). On soft sediment, deposit-feeding holothurians either dig into the sediment as funnel-feeders or conveyor belt-feeders or scavenge the surface sediment as rake feeders (Massin 1982). In this way, they take up particulate organic matter that is deposited on or buried in the sediment (Roberts et al. 2000), and some species have been shown to feed selectively for specific organic compounds (Ginger et al. 2001; Witbaard et al. 2001; Wigham et al. 2003a; Hudson et al. 2003): For example, the analysis of gut contents from holothurians collected at the Porcupine Abyssal Plain (PAP, NE Atlantic) showed that Amperima rosea Perrier, 1886, Peniagone diaphana Théel, 1882, and Oneirophanta mutabilis mutabilis Théel, 1879, feed selectively on fresh phytodetritus (Ginger et al. 2001; Witbaard et al. 2001; FitzGeorge-Balfour et al. 2010). However, when fresh phytodetritus is scarce, O. mutabilis mutabilis feeds on more refractory detritus material (FitzGeorge-Balfour et al. 2010) which is primarily consumed by the microbial community in its gut (Romero-Romero et al. 2021). Other species have a less selective feeding behavior, e.g., Psychropotes longicauda Théel, 1882, Molpadiodemas villosus Théel, 1886, and Molpadia blakei Théel, 1886 (FitzGeorge-Balfour et al. 2010). Though these examples suggest that that feeding selectivity and diet preferences of deep-sea holothurians are well known, the information is very rudimentary for most abyssal holothurian species (Billett 1991; Roberts et al. 2000).
Feeding selectivity of holothurians also affects the food availability for other benthic fauna. In fact, a non-linear regression analysis of individual biomass vs. biomass-specific phytodetritus carbon incorporation for nematodes, macrofauna, and holothurians was highly significant (Stratmann et al. 2018a). This implies that larger organisms in the deep sea might be more important for or more efficient in exploiting labile phytodetritus than smaller organisms (Stratmann et al. 2018a). For example, in the Nazaré canyon (NE Atlantic), the whole population of Molpadia musculus Risso, 1826, removed approximately 0.43 ± 0.13 g biopolymeric carbon (C) and 0.13 ± 0.03 g N m−2 d−1 from the sediment (Amaro et al. 2010) and at PAP, A. rosea and Ellipinion molle Théel, 1879, together with other fauna removed the phytosterols from freshly deposited phytodetritus in less than four month (Ginger et al. 2001).
Whereas holothurians alter the chemical composition of detritus in the sediment by depleting it for specific labile compounds, like sedimentary proteins (Amaro et al. 2010), this detritus composition also affects the species composition of holothurians (Wigham et al. 2003a; FitzGeorge-Balfour et al. 2010). At PAP, especially A. rosea, P. diaphana, and O. mutabilis mutabilis had a high concentration of carotenoids in their ovaries which are important for the reproductive success of the species (Wigham et al. 2003b; Tsushima 2007; Svensson and Wong 2011). Therefore, Wigham et al. (2003a) suggested that higher concentrations of carotenoids in the gonads of A. rosea as compared to other holothurians might give this species a reproductive advantage which could explain the so-called “Amperima” event. During this event, the density of A. rosea increased by three orders of magnitude due to large-scale recruitment events that followed changes in the organic C flux to the abyssal plain, even though the total megafauna biomass did not change significantly (Bett et al. 2001; Billett et al. 2001, 2010). However, the input of fresh phytodetritus will change under climate change scenarios in the future and predictions say that it will rather decrease than increase (Smith et al. 2008; Wohlers et al. 2009; Yool et al. 2017). Furthermore, warming temperatures and higher CO2 partial pressures compared to current conditions likely lead to increasing degradation processes in the mid-water resulting in more degraded detritus reaching the deep-sea (Riebesell et al. 2007; Marsay et al. 2015). Hence, it is important to know how dependent holothurians are on fresh phytodetritus compared to the detritus present in the sediment, especially for their amino acid and fatty acid demands.
Amino acids, the building blocks of proteins, are required to produce enzymes, structural tissue of fauna, and cell walls of bacteria (Phillips 1984; Libes 2009). Half of the 20 most common amino acids in faunal proteins can be synthesized by the organism itself (Phillips 1984), whereas the other half has to be taken up with the diet and are therefore called “essential” amino acids (EAA) (Phillips 1984). Amino acids include “source amino acids” (i.e., glycine, serine, phenylalanine, tyrosine, lysine), which preserve their δ15N values along the trophic chain because no new bonds are formed to the nitrogen (N) atom nor are bonds cleaved (McClelland and Montoya 2002; Chikaraishi et al. 2009). Other amino acids are “metabolic amino acids” (i.e., threonine) (Chikaraishi et al. 2009) and “trophic amino acids” (i.e., asparagine, glutamine, alanine, isoleucine, leucine, valine, proline) (Chikaraishi et al. 2009). The δ15N values of “trophic amino acids” become enriched during metabolic transamination when N bonds are cleaved (McClelland and Montoya 2002; Chikaraishi et al. 2009). The larger the difference between the “source amino acids” and the “trophic amino acids,” the higher is the trophic level of an organism, so the ratio of the δ15N values of glutamic acid and phenylalanine has been used to estimate the trophic level of an organism following Chikaraishi et al. (2009).
Fatty acids, the main components of lipids, have several functions, such as serving as energy source (Lindsay 1975), being involved in the transduction of signals (Graber et al. 1994; Faergeman and Knudsen 1997), and gene expression (Sampath and Ntambi 2004), and being components of membranes (van Deenen 1966; Spector and Yorek 1985). They contain neutral-lipid-derived fatty acids (NLFAs; e.g., C16:1ω7, C16:3ω3, C20:1, C20:5ω3; Maier et al. 2019; Engel et al. 2023) and phospholipid-derived fatty acids (PLFAs; e.g., C16:0, C18:1ω9 cis, 20:1ω9, 22:2ω6; Stratmann et al. 2022; Hoving et al. 2023) (Spector and Yorek 1985; Dalsgaard et al. 2003). NLFAs are required to build wax esters and the storage lipids triacylglycerols (Sargent and Falk-Petersen 1988; Ackman 1989), whereas PLFAs are necessary to build structural phospholipids of cell membranes (Spector and Yorek 1985). Fatty acids may be unsaturated or saturated, and generally a higher number of unsaturated bonds imply that the fatty acid is more labile than a fatty acid with fewer unsaturated bonds (Sargent 1995). “Essential” fatty acids have to be taken up with the diet (Stubbs and Smith 1990) because they can generally only be synthesized de novo by primary producers (Sargent 1995). Since several fatty acids are transferred conservatively (i.e., untransformed) from primary producers and primary consumers to higher trophic levels (Lovern 1935), they may serve as trophic markers and inform about diets (Kharlamenko et al. 1995).
To decipher feeding types and diet preferences of holothurians and their ecological role in the Peru Basin, we combined stable isotope analyses of bulk tissue, gut content, and feces with compound-specific stable isotope analysis (CSIA) of amino acids and fatty acids. Furthermore, we performed a pulse-chase experiment with deep-sea holothurians that were fed in situ with 15N and 13C-enriched phytodetritus (Skeletonema costatum (Greville) Cleve, 1873) to compare how much of their daily amino acid and fatty acid demands holothurians can meet from ingesting sediment and which amino acids and fatty acids they have to extract from fresh phytodetritus. These two approaches allowed us to address the following research hypotheses (1) resource partitioning facilitates the high biodiversity of deposit-feeding holothurians in the Peru Basin, (2) holothurians reduce organic C availability in sediments of the Peru Basin, and (3) selective-feeding holothurians depend on amino acids and fatty acids from fresh phytodetritus.
Material and methods
Study site
The Peru Basin (Fig. 1) in the SE Pacific Ocean is a 4000 to 4400 m (Wiedicke and Weber 1996) deep polymetallic nodule-rich abyssal plain covered with a 10 to 20 cm thick layer of brown fluffy sediment (Mevenkamp et al. 2019) of silty clay and clayey silt (Grupe et al. 2001) on which nodules lay with densities of 18.1 ± 11.3 kg m−2 (Marchig et al. 2001). The sediment porosity is 0.93 (Vonnahme et al. 2020) and the top 1 cm of surface sediment contains 0.09 µg ml−1 chlorophyll-a and 0.23 µg ml−1 phaeopigments (Vonnahme et al. 2020). The upper 10 cm of sediment is fully oxygenated, and the oxygen penetrates the sediment down to 12 to 20 cm sediment depth (Paul et al. 2018).
Sampling of holothurians
During “JPI Healthy and Productive Seas and Ocean” RV Sonne cruise SO242-2 to the Peru Basin in August and September 2015 (Boetius 2015), holothurians of the putative species Elpidiidae gen sp. Théel, 1882 (n = 1), Amperima sp. Pawson, 1965 (n = 4), Benthodytes sp. Théel, 1882 (n = 2), Benthodytes typica Théel, 1882 (n = 1), Galatheathuria sp. Hansen & Madsen, 1956 (n = 1), Oneirophantha sp. Théel, 1879 (n = 1), Psychronaetes hanseni Pawson, 1983 (n = 1), P. longicauda (n = 1), Psychropotes semperiana Théel, 1882 (n = 1), Synallactes sp. Ludwig, 1894 (morphotype “pink”; n = 1), and Synallactidae gen sp. Ludwig, 1894 (n = 2) were collected opportunistically with the suction sampler of the remotely operated vehicle (ROV) Kiel 6000 (Fig. 1, Table S1). As a result, sampling of several species was not balanced, but due to logistical constraints it was often limited to n = 1 or n = 2. Aboard RV Sonne, the specimens were dissected to separate the gut and its content from the remaining tissue. All samples were shock-frozen in liquid nitrogen and stored frozen at − 20 °C.
Additionally, the putative holothurians species Amperima sp. (n = 3), Benthodytes sp. (n = 3), B. typica (n = 4), Mesothuria sp. Ludwig, 1894 (n = 1), Peniagone sp. Théel, 1882 (n = 1), and Synallactidae gen sp. (n = 1) from the study of Brown et al. (2018) were included in the analysis. These specimens were collected with the ROV suction sampler and transported to respiratory chambers to measure oxygen consumption of individual holothurian specimens over a period of 72 h. Aboard RV Sonne, the holothurians specimens were shock-frozen intact in liquid nitrogen and stored at − 21 °C. Feces of holothurians that defecated inside the respiratory chambers were sampled and frozen at − 21 °C. Due to the very low in-situ temperatures (1.84–1.85 °C; Brown et al. 2018), no changes in bulk and/or compound-specific composition of the feces was expected.
Sampling of sediment
Sediment samples were taken with ROV-deployed push cores and a benthic chamber lander system. After retrieval of push cores and the lander on board, the cores, and the lander chambers (484 cm2) were sliced in two sediment intervals (0–2 cm and 2–5 cm sediment layers). Subsamples (35 ml) were taken from each sediment interval and stored frozen at − 20 °C.
In-situ experiment
Pulse-chase in-situ experiments were performed during RV Sonne cruise SO242-2 by placing large (50 \(\times\) 50 cm footprint) benthic incubation chambers (Stratmann et al. 2018a) over a single holothurian specimen at the seafloor (n = 6, putative species: Amperima sp., Benthodytes sp., Peniagone sp.) (Fig. 2) with ROV Kiel 6000. The holothurians were fed by injection of 0.5 g dry mass (DM) freeze-dried phytodetritus (i.e., S. costatum; equivalent to 40 mmol C m−2 and 5 mmol N m−2) that was enriched in δ13C and δ15N (29 at% 13C and 37 at% 15N) into the chamber. After 3 days of incubation, the experiment was terminated, and the holothurians were collected via the suction pump of the ROV Kiel 6000. Aboard the vessel, the holothurians were dissected to separate the gut and its content from the remaining tissue. All samples were flash-frozen in liquid nitrogen and stored frozen at − 20 °C.
Laboratory analyses
Bulk analyses
In the shore-based laboratory at NIOZ-EDS (Yerseke, Netherlands), the samples were freeze-dried and finely-ground with mortar and pestle. Total C (TC)/δ13C and total N (TN)/δ15N content of the holothurian body wall tissue was measured in not acidified samples and organic C (org. C)/δ13C was measured in acidified tissue samples with a Thermo Flash EA 1112 elemental analyzer (EA; Thermo Fisher Scientific, USA) which was coupled to a DELTA V Advantage Isotope Ratio Mass Spectrometer (IRMS; Thermo Fisher Scientific, USA). Org. C/δ13C and TN/δ15N contents of acidified holothurian gut contents, feces, and sediment were measured with the same EA-IRMS and the δ13C and δ15N data were normalized against L-glutamic acid isotope reference material USGS40 (Qui et al. 2004) and USGS41a (Qi et al. 2016) following Sharp (2017). Stable isotope values are presented in δ notation relative to Vienna Pee Dee Belemnite for δ13C and relative to air for δ15N.
Sediment grain size of holothurian gut content was determined by laser diffraction on freeze-dried and sieved (< 1 mm) sediment samples in a Malvern Mastersizer 2000.
Analysis of amino acids
Hydrolysable amino acids (HAA) from holothurian body wall tissue and phytodetritus were extracted following a modified protocol of Veuger et al. (2005). Briefly, HAAs in holothurian tissue and HAAs in phytodetritus were hydrolyzed by adding 0.01 to 0.02 g freeze-dried finely ground holothurian tissue and 0.01 to 0.02 g phytodetritus, respectively, to 1.5 ml 6 M HCl in 10 ml screw-cap vials. A N2-headspace was created in the vials by flushing with N2-gas for 10 s before the vials were closed and heated for 20 h at 110 °C. After cooling, 10 µl internal L-Norleucine standard per mg dry faunal tissue (stock solution: 2.5 mg mL−1 L-Norleucine acidified with 100 µl 12 M HCl) was added and the solution was evaporated under N2-flow at 60 °C. HAAs from holothurian tissue were derivatized by adding 0.5 ml acidified propan-2-ol to the sample and by heating the closed vials at 110 °C for 90 min. Afterwards, the vials were cooled down and the solution was evaporated under N2-flow at 50 °C. After evaporating all solution, 200 µl dichloromethane (DCM) was added and the solution was evaporated again. When the samples were dry, 150 µl DCM and 50 µl pentafluoropropionic anhydride were added, the vials were closed and heated for 10 min at 110 °C. The solvent was extracted by adding 0.5 ml chloroform and 1 ml phosphorus-buffer to the sample, shaking it until the lower chloroform fraction was clear and centrifuging the vials with 2000 rpm for 10 min. The chloroform fraction was transferred to GC vials and evaporated again. When the sample was completely dry, it was dissolved in ethyl acetate. Concentrations (µg C g−1 dry mass DM holothurian body wall tissue), and δ13C (‰) and δ15N (‰) of HAAs were measured with a HP 6890 gas chromatograph (Hewlett Packard/ Agilent, USA) coupled with a DELTA-Plus Isotope Ratio Mass Spectrometer (Thermo Fisher Scientific, USA) on a polar analytical column (ZB5-5MS; 60 m length, 0.32 mm diameter, 0.25 µm film thickness; Phenomenex, USA). The concentrations of amino acids were determined using L-Norleucine as internal standard and δ13C and δ15N data of amino acids were standardized against L-Norleucine which had δ13C and δ15N values of − 31.31 ± 0.14 ‰ and − 4.45 ± 0.05 ‰, respectively, as determined by EA-IRMS prior to its application as internal standard.
Following Veuger et al. (2005), individual HAAs were identified based on their retention time in relation to the L-Norleucine standard. Asparagine and aspartic acids, and glutamine and glutamic acid, however, were reported as sums, because during the hydrolysis asparagine is converted to aspartic acid and glutamine to glutamic acid (Uhle et al. 1997; Erbe 1999). Except for histidine, cysteine, tryptophan, and arginine, all other 20 “common” HHA can be detected with this method (Erbe 1999), but the recovery of methionine can be ~ 30% (Maier et al. 2019). Therefore, methionine was excluded from the analysis. C concentrations were also corrected for the C-atoms added during the derivatization step.
Analysis of fatty acids
Lipids were extracted from holothurian body wall tissue, phytodetritus, feces, and gut content following a modified Bligh and Dyer extraction method (Bligh and Dyer 1959; Boschker 2008). Freeze-dried, homogenized powder of holothurian tissue (~ 50–150 mg), phytodetritus (~ 1 mg), feces and gut content (~ 150 mg–2.0 g) were mixed with 6 ml MilliQ-water 15 ml methanol (HPLC grade, 99.8%), and 7.5% chloroform (HPLC grade, 99.5%) in pre-cleaned test tubes. The tubes were shaken for 2 h, before 7.5 ml chloroform were added, and the tubes were shaken again. 7.5 ml MilliQ-water were added, and the tubes were stored at − 21 °C for 12 h for separation of the solvent layers. The lower solvent layer contained the lipid extract dissolved in chloroform and was transferred to pre-weighted test tubes. After determining the weight of the chloroform extract, it was fractionated into the different fatty acid classes over an activated silicic acid column (heated at 120 °C for 2 h; Merck Kieselgel 60) via eluting with 7 ml chloroform, 7 ml acetone, and 15 ml methanol. The acetone fraction was discarded, whereas the chloroform fraction containing the NLFAs and the methanol fraction with the PLFAs were collected in separate test tubes and evaporated to dryness.
PLFAs and NLFAs were derivatized to fatty acid methyl esters (FAMEs) by adding 1 ml methanol-toluene mix (1:1 volume/volume), 20 µl of an internal standard (1 mg C19:0 FAME mL−1), and 1 ml 0.2 M methanolic NaOH to the test tubes with the PLFAs and NLFAs extracts. After an incubation at 37 °C for 15 min, 2 ml n-hexane, 0.3 ml 1 M acetic acid, and 2 ml MilliQ-water were added. The solution was mixed very well and when the layers had separated, the (top) n-hexane layer was transferred to new test tubes. Additional 2 ml n-hexane was added to the previously used test tubes that contained the acetic acid-MilliQ-water solution, and the step was repeated. The n-hexane layer was transferred again to the new test tubes and 20 µl of a second internal standard (1 mg C12:0 FAME mL−1) was added. n-hexane was evaporated completely, and the FAMEs dissolved in 200 µl n-hexane were transferred to measuring vials.
The FAMEs from holothurian tissues and phytodetritus were separated on a very polar BPX70 column (50 m length, 0.32 mm inner diameter, 0.25 µm film thickness; SGE Analytical Science) with a HP 6890 GC (Hewlett Packard/ Agilent, USA). The FAMEs from sediment, feces, and gut content were separated on a polar ZB5-5MS column (60 m length, 0.32 mm diameter, 0.25 µm film thickness; Phenomenex, USA) on the same GC. Concentrations (µg C g−1 DM holothurian body wall tissue) and δ13C values (‰) of FAMEs in holothurian body wall tissue, feces, and gut content were measured on a Finnigan Delta Plus IRMS (Thermo Fisher Scientific, USA) coupled to the GC via a combustion GC-c-III interface (Thermo Fisher Scientific, USA). Five reference material FAMEs (C14:0 FAME, C16:0 FAME, C18:0 FAME, C20:0 FAME, C24:0 FAME) from Schimmelmann Research (Indiana University Bloomington, USA) were combined in a mix and served as standard against which the δ13C and δ15N data were normalized following (Sharp 2017).
The peaks of FAMEs in the chromatograms were identified as specific fatty acids based on their retention time in relation to the internal standards C12:0 FAME and C19:0 FAME, and the omnipresent peak of C16:0 following Boschker et al. (1999). The retention times of certified reference FAME standards from Sigma-Aldrich (USA; product numbers: L-7272, T-0627, M-3378, P-6250, P-5177, H-4515, S-5376, N-5377, A-3881, P-9667, P-0203, E-4762, B-3271, T-9900, L-6766, -4754), from Larodan (Sweden; product numbers: 20–1603-4, 20–1812-9, 20–1802-13, 20–1840-4, 20–2004-7, 20–2003-9, 20–2205-9, 90–1100, 90–1051, 90–1054, 21–1610-7, 21–1710-7, 21–1810-7, 21–1413-7, 21–1615-7, 11–1412-7), from Supelco® Analytical (USA; product numbers: Supelco 47,033, Supelco-47033, Supelco-47015-U, Supelco-47085-U, Supelco-47080-U), and from Schimmelmann Research (fatty acid mixture F8-4) measured on the same GC columns served as references. Further peaks in the chromatograms were confirmed by gas chromatography/mass spectrometry (GC/MS) following Kurkiewicz et al. (2003). Whenever, the identification of chromatogram peaks was not unique, because fatty acids co-eluted, both fatty acids were reported as “fatty acid 1/ fatty acid 2.”
C concentrations were calculated based on peak area of the chromatogram peaks using the two internal standards (C12:0 FAME and C19:0 FAME) for area correction and corrected for the C-atoms added during the derivatization step.
A list with of dominant fatty biomarkers is presented in Table 1.
Data analyses
Concentration factors
To examine the degree to which PLFAs were concentrated between surface sediment (0–2 cm layer) and gut content and feces, a concentration factor CF was calculated:
where [gut contentPLFA] corresponds to the total PLFA concentration in gut content, [fecesPLFA] to the total PLFA concentration in feces, and [\(\overline{{sediment }_{PLFA}}\)] to the mean total PLFA concentration in surface sediment.
Trophic levels
Trophic levels (TL) of holothurian species were calculated following Chikaraishi et al. (2009) as
δ15NGlu is the δ15N of the amino acid glutamic acid (‰) and δ15NPhe corresponds to the δ15N of the amino acid phenylalanine (‰). β is the fractionation between glutamic acid and phenylalanine at trophic level 1 and ΔGlu-Phe is the 15N enrichment in glutamic acid relative to phenylalanine.
Two holothurian species are considered to have two different trophic levels when the difference in trophic levels between two species is > ± 0.44. This value corresponds to the mean standard deviation of the calculated trophic level (σTL; propagation of error) across all holothurians that was determined following equation S4 in Jarman et al. (2017) as
where σβ is 0.9‰, σΔ is 1.1‰, and β is the fractionation between glutamic acid and phenylalanine (Jarman et al. 2017).
Heterotrophic re-synthesis of amino acids
Total heterotrophic re-synthesis of amino acids (\(\sum V\)) was approximated as the sum of variance of individual δ15N values of the trophic amino acid alanine, aspartic acid, glutamic acid, leucine, and proline (McCarthy et al. 2007):
\(x\) symbolized each trophic amino acids’ δ15N value, \(\overline{x }\) is the mean trophic amino acids’ δ15N value, and n is the total number of trophic amino acids used in this calculation (McCarthy et al. 2007).
Bayesian mixing model
The relative contribution of potential food sources (Table 2) to the diets of the different holothurian species (i.e., consumers) was estimated using Bayesian mixing models based on the natural abundance stable isotopic composition (δ13C, δ15N) of food sources and holothurians.
The Bayesian analysis was conducted using the R (version 4.3.0; R-Core Team 2022) package rjags (version 4.3.1; Stock et al. 2020) and the mixing models were performed using the R package MixSIAR (version 3.1.12; Stock et al. 2018, 2020). A general trophic enrichment factor of 0.5‰ for C and 3.4‰ for N (Fry 2006) was applied for all food sources. The mixing models for the fixed factor “species” were fitted using the Markov Chain Monte Carlo (MCMC) method on 300,000 iterations for informative priors (i.e., α = (1, 1, 1, 0.5, 0.5, 0.5) for sedimentary detritus, phytodetritus, heterotrophic prokaryotes, Foraminifera, Fungi, and Nematoda, respectively). Model convergence was diagnosed with Gelman-Rubin diagnostics \(\widehat{R}\) (\(\widehat{R}\) < 1.05) (Gelman and Rubin 1992; Gelman et al. 2014; Roy 2020) and Geweke diagnostics Zn (Geweke 1991; Roy 2020) being similar in all three chains. The model solutions are presented as mean (%) with 95% and 75% Bayesian credibility intervals (BCI).
Cluster analysis of Sørensen–Dice coefficient βsor
The Sørensen–Dice coefficient βsor (Dice 1945; Sørensen 1948; Koleff et al. 2003) was calculated using the “betadiver” function in the R package vegan (version 2.6–2; Oksanen et al. 2017) to compare holothurian species based on their trophic levels (TL), levels of heterotrophic re-synthesis of amino acids (\(\sum V\)), feeding selectivity based on concentration factor (CF), and food sources/diet. For this purpose, the quantitative data TL and \(\sum V\) were first converted into categories (Table 3) and then converted into binary (presence/absence) data. The categorical data “feeding selectivity” (Table 3) and “food/sources diet” were also converted into binary data. Subsequently, βsor was clustered by average linkage clustering (unweighted pair-group method using arithmetic averages, UPGMA; Romesburg 1984) using the “hclust” function in R. The optimal number of clusters was identified by finding a consensus among the results of 20 different clustering algorithms using the “n_clusters” function in the R package parameter (version 0.21.1; Lüdecke et al. 2020). The dendrogram was prepared with R package factoextra (version 1.0.7; Kassambara and Mundt 2020).
13C and 15N incorporation
The bulk incorporations of phytodetritus C and N into holothurian body wall tissue and the incorporation of 13C and 15N into holothurian HAAs, PLFAs, and NLFAs were calculated as follows:
or
where Rstandard is 0.0111802 in case of C and Rstandard is 0.0036782 in case of N. The fractions (F) of the 13C and 15N isotopes in the enriched tissue and HAAs, PLFAs, NLFAs (Fsample), and background tissue (i.e., Amperima sp., Benthodytes sp., Peniagone sp. specimens collected in “Sampling of holothurians”) and HAAs, PLFAs, and NLFAs (Fbackground) were calculated as follows:
or
Subsequently, the incorporations of phytodetritus C and N (I) in the tissue were calculated as follows:
or
The incorporations of 13C and 15C in HAAs, PLFAs, and NLFAs were calculated as follows:
or
For the calculation of 13C incorporation into PLFAs and NLFAs, only PLFAs and NLFAs were considered that were present in at least four out of five samples.
Statistical analysis
To test whether the proportions of individual amino acids and fatty acids to total amino acids and fatty acids in (i) sediments compared to holothurians with natural abundance stable isotope composition and in (ii) phytodetritus compared to holothurians in the pulse-chase experiment were statistically significantly different (level of significance: α = 0.05), Wilcoxon Rank Sum Test W (also known as Mann Whitney U Test) was performed. This test allows to compare means of two different samples that are not normally distributed.
All data are presented as mean ± 1 standard deviation (SD). A list with the number of replicates per specific parameter and holothurian species is presented in Table S2.
Results
Chemical composition of sediment
Sediment in the Peru Basin consisted of 0.63 ± 0.01% org. C in the upper 2 cm of sediment (n = 4) and 0.62 ± 0.03% org. C in the 2 to 5 cm sediment depth layer (n = 4). TN content in each sediment layer was 0.13 ± 1.98 \(\times\) 10−3% N and the C/N ratios were 5.44 ± 0.02 (0–2 cm) and 5.45 ± 0.19 (2–5 cm). The sediment had δ13C values of − 20.7 ± 0.6‰ (0–2 cm; n = 4) and − 21.8 ± 1.2‰ (2–5 cm; n = 4), and δ15N values of 10.3 ± 2.0‰ (0–2 cm; n = 4) and 8.20 ± 0.8‰ (2–5 cm; n = 4).
The surface sediment layer (0–2 cm; n = 4) contained 18.5 ± 7.16 µmol HAA g−1 dry mass (DM) sediment, whereas the 2 to 5 cm layer (n = 4) had 18.6 ± 5.73 µmol HAA g−1 DM sediment. Alanine, glycine, and isoleucine contributed between 51.0 ± 2.28% (0–2 cm; n = 4) and 52.8 ± 3.82% (2–5 cm; n = 4) to the HAA concentration.
The surface sediment layer (0–2 cm; n = 3) contained 0.19 ± 0.04 µmol C-PLFA g−1 DM sediment, whereas the 2 to 5 cm layer (n = 3) had 0.15 ± 0.08 µmol C-PLFA g−1 DM sediment. The PLFAs C16:0, C16:1ω7 cis, and 18:1ω7 cis/18:1ω9 trans contributed 34.9 ± 11.1% (2–5 cm; n = 3) to 44.4 ± 3.16% (0–2 cm; n = 3) to the total PLFA concentration in the respective sediment layers.
Gut content and feces of holothurians
Gut contents of holothurians in the Peru Basin weighed 1.93 ± 3.56 g DM gut content and ranged from 0.11 g DM gut content for Peniagone sp. to 12.5 g DM gut content for P. hanseni (Table 4). Org. C and TN contents of the gut content of all investigated holothurian specimens were 5.34 ± 4.13% and 1.04 ± 0.87%, respectively, and it contained 244 ± 304 µg C-PLFA g−1 DM gut content and 83.3 ± 124 µg C-NLFA g−1 DM gut content (Fig. 3a). The concentration factor CFgut content for PLFAs in holothurian gut content was on average 105 ± 131 and ranged from 1.17 to 335 for Benthodytes sp. and Synallactidae gen sp., respectively (Table 4). The mean eicosapentaenoic acid (EPA, C20:5ω3)/arachidonic acid (ARA, C20:4ω6)-ratio for gut content across all holothurians was 3.20 ± 5.58, the mean docosahexaenoic acid (DHA, C22:6ω3)/EPA-ratio was 0.62 ± 0.68, and the mean C16:1ω7/C16:0-ratio was 0.81 ± 0.85 (Fig. 4a).
Feces of holothurians weighed 1.36 ± 2.09 g DM feces and ranged from 0.12 g DM feces for Synallactidae gen sp. to 3.01 ± 3.61 g DM feces for Benthodytes sp. (Table 4). Org. C and TN content of the feces was 0.83 ± 0.37% and 0.14 ± 0.04%, respectively, and it contained 7.73 ± 3.60 µg C-PLFA g−1 DM feces and 7.63 ± 5.28 µg C-NLFA g−1 DM feces (Fig. 3a). In holothurian feces, PLFAs were on average still 3.33 ± 1.55 times more concentrated compared to the upper 2 cm of sediment (CFfeces range: 1.81 ± 0.53 for Benthodytes sp. to 4.44 ± 1.52 for B. typica) (Table 4). The mean EPA/ARA-ratio for feces was 0.29 ± 0.59, the mean DHA/EPA-ratio was 0.23 ± 0.48, and the mean C16:1ω7/C16:0-ratio was 1.39 ± 0.57 (Fig. 4b).
Gut content and feces consisted of 81.2 ± 3.73% silt (grain size: < 63 µm) and of 10.7 ± 1.10% very fine sand (grain size: 62.5–125 µm) (Table 5). The median grain was 15.5 ± 2.27 µm.
Most of the PLFAs (Fig. 3b; Fig. S1a) and the NLFAs (Fig. 3d; Fig. S1c) found in holothurian gut content consisted of highly unsaturated fatty acids (HUFA, i.e., fatty acids with \(\ge\) 4 double bonds; 47.7 ± 14.6%) and saturated fatty acids (SFA; 40.5 ± 11.3%), respectively, followed by monosaturated fatty acids (MUFA), SFA, and polyunsaturated fatty acids (PUFAs, i.e., fatty acids with ≥ 2 double bonds) in case of PLFAs, and followed by HUFA and MUFA in case of NLFA.
Feces of holothurians consisted of 33.0 ± 10.7% PLFA-SFA (Fig. 3c; Fig. S1b) and of 50.4 ± 12.8% NLFA-SFA (Fig. 3e; Fig. S1d). The other PLFAs consisted of 31.7 ± 10.5% MUFA, 16.1 ± 11.4% HUFAs, and 10.6 ± 23.7% long-chain fatty acids (LCFA, i.e., fatty acid with ≥ 24 C atoms). The NLFAs included additionally 20.2 ± 23.5% HUFA and 14.8 ± 11.7% MUFA.
Chemical composition of holothurians
Holothurians in the Peru Basin consisted of 93.0 ± 10.2% water and their dried body walls contained 5.08 ± 2.89% org. C and 1.33 ± 0.80% TN, whereas their dried gut tissues consisted of 17.1 ± 8.43% org. C and 3.76 ± 2.18% TN. The body wall and gut wall tissue of the holothurian families Deimatidae and Laetmogonidae had the highest org. C and TN contents, whereas the families Elpidiidae and Psychropotidae had the lowest org. C and TN content in body wall tissue (Table S3).
The HAA composition did not differ greatly among species, with the main HAAs in holothurian body walls being alanine, glycine, aspartic acid, and glutamic acid that contributed between 55.6% (Elpidiidae) and 78.2% (P. longicauda) to total HAAs of body walls (Fig. 5a).
Across all holothurians, the metabolic amino acid threonine had a mean δ15N value of − 9.84 ± 8.20‰ and source amino acids had a total mean δ15N value of 7.49 ± 7.81‰ (Fig. S3). The δ15N values of all trophic amino acids asparagine, glutamine, alanine, isoleucine, leucine, valine, and proline averaged 20.4 ± 4.95‰. The highest δ15N values for the metabolic amino acid were measured in body wall tissue of Amperima sp. (− 3.59 ± 2.19‰) and the lowest value was measured in body wall tissue of P. longicauda (− 34.4‰). The highest δ15N values of source amino acids were measured in P. longicauda (13.3 ± 30.3‰), whereas the lowest value was found in Oneirophanta sp. (− 3.75 ± 5.05‰). P. longicauda had the lowest δ15N values of trophic amino acids (16.6 ± 3.76‰), whereas P. semperiana had the highest δ15N value (24.7 ± 3.39‰).
The PLFA (Fig. 5b; Fig. S2a) and NLFA (Fig. 5c; Fig. S2b) compositions differed strongly among species. Between 1.75% (Elpidiidae gen sp.) and 36.6% (P. semperiana) of the PLFAs found in holothurian body walls consisted of PUFAs. The other PLFA classes detected in the body walls were HUFAs (36.9 ± 13.3%), methyl-fatty acids (16.2 ± 10.1%), LCFAs (15.7 ± 15.5%), MUFAs (9.08 ± 12.3%), and SFAs (8.62 ± 6.36%). Compared to the mean PLFA composition across all holothurian taxa analyzed, P. hanseni had an above mean percentage of MUFAs (17.7% of total PLFAs) and a below mean percentage of PUFAs (0.80% of total PLFAs). Oneirophanta sp. had an above mean percentage of SFAs (39.3% of total PLFAs) and Galatheathuria sp. had an above mean percentage of HUFAs (36.9% of total PLFAs).
The NLFAs consisted of 32.1 ± 12.7% SFAs, of 15.4 ± 6.39% MUFAs, of 3.75 ± 2.86% PUFAs, of 13.4 ± 6.86% HUFAs, of 4.41 ± 11.0% LCFA, and of 31.0 ± 16.7% methyl-fatty acids. In comparison to the mean NLFA composition across all studied holothurian taxa, Oneirophanta sp. had an above mean percentage of SFA (60.4% of total NLFAs). P. hanseni had an above mean percentage of MUFAs (32.7% of total NLFAs), P. semperiana had an above mean percentage of HUFAs (23.5% of total NLFAs), and Elpidiidae gen sp. had an above mean percentage of methyl-fatty acids (48.1%).
The ratio of the “essential” phospholipid-derived PUFAs EPA to ARA, i.e., the EPA/ARA-ratio, ranged from 0.05 ± 0.13 for Benthodytes sp. to 1.75 ± 2.23 for Synallactidae gen sp. (Fig. 4c). In comparison, the ratio of DHA to EPA, i.e., the DHA/EPA-ratio, ranged from 0.01 for P. hanseni to 1.27 for Peniagone sp. (Fig. 4c). Due to the absence of the PUFAs ARA and/or EPA in holothurian body wall tissue, no EPA/ARA-ratios were calculated for B. typica, Elpidiidae gen sp., Galatheathuria sp., Mesothuria sp., Oneirophanta sp., and P. semperiana. Elpidiidae gen sp. lacked both DHA and EPA, and therefore no DHA/EPA-ratio could be calculated (Fig. 4c).
Trophic position of holothurians and recycling of amino acids
Holothurians in the Peru Basin had a mean δ13org. C value of − 17.5 ± 0.89‰ with a minimum value of − 16.6‰ for P. semperiana and a maximum value of − 18.4‰ for Galatheathuria sp. The mean δ15N value was 11.6 ± 1.47‰ with a minimum value of 9.84‰ for Peniagone sp. and a maximum value of 14.3‰ for Oneirophanta sp (Fig. 6a).
Trophic level (TL) estimates for holothurians in the Peru Basin, based on the δ15N values of the HAA glutamic acid and alanine, ranged from 2.0 (P. hanseni; σTL: ± 0.44) to 3.5 (Oneirophanta sp.; σTL: ± 0.44) (Fig. 6b).
\(\sum V\) values ranged from 1.02 to 7.76, with P. hanseni having the lowest heterotrophic enrichment and Mesothuria sp. having the highest heterotrophic enrichment (Fig. 6b).
Mixing model results (MixSIAR)
Bayesian mixing model results suggested that potential food sources of holothurians in the Peru Basin were (in order) Foraminifera, sedimentary detritus, Nematoda, phytodetritus, prokaryotes, and Fungi (< 0.1%) (Fig. 7).
The contribution of Foraminifera ranged from 31.0 ± 28.2% (5–95% Bayesian credibility intervals BCI, 0.70–86.2%) to 39.1 ± 23.6% (5–95% BCI, 1.30–77.2%) and 38.6 ± 27.7% (5–95% BCI, 1.10–82.6%) to the total food sources of P. semperiana, Benthodytes sp., and B. typica, respectively, whereas sedimentary detritus potentially contributed between 17.5 ± 15.8% (5–95% BCI, 0.80–48.7%) and 23.8 ± 21.5% (5–95% BCI, 0.70–65.6%) to the total diet of Peniagone sp. and Galatheathuria sp. Phytodetritus was suggested to account for 8.50 ± 6.80% (5–95% BCI, 0.70–22.0%) to 16.9 ± 11.8% (5–95% BCI, 1.20–37.8%) to the food sources of Oneirophanta sp. and Peniagone sp., and heterotrophic prokaryotes contributed between 7.80 ± 16.1% (5–95% BCI, 0.30–24.3%) and 16.1 ± 15.5% (5–95% BCI, 0.40–47.1%) to the diets of the same species. However, the large 25%/75% and 5%/95% BCI ranges (Fig. 7) indicate that the capacity of the models to resolve the contributions of potential food sources was low, likely due to the implementation of published stable isotopic composition data that were mostly not site-specific. Hence, the model outcomes should be interpreted with care.
Fresh phytodetritus uptake by holothurians
Within 3 days, the holothurians in the feeding experiment took up 0.021 ± 0.014 mmol phytodetritus C mmol−1 org. C (Amperima sp., 0.017 ± 0.014; Peniagone sp., 0.039; Benthodytes sp., 0.018) and 0.017 ± 0.013 mmol phytodetritus N mmol−1 TN (Amperima sp., 0.013 ± 0.012; Peniagone sp., 0.036; Benthodytes sp., 0.016). Gut content of holothurians collected after 3 days still contained 0.122 ± 0.223 mmol phytodetritus C g−1 DM gut content and 0.083 ± 0.164 mmol phytodetritus N g−1 DM gut content. The feces of 1 Amperima sp. specimen even included 0.036 mmol phytodetritus C g−1 DM feces and 0.028 mmol phytodetritus N g−1 DM feces.
Holothurians incorporated 0.95 ± 0.78 µmol 13C-HAA mmol−1 org. C (min, 0.51, Benthodytes sp.; max, 1.06 ± 1.05, Amperima sp.) and 5.53 ± 4.28 µmol 15N-HAA mmol−1 TN (min, 3.05, Benthodytes sp.; 6.53 ± 5.66, Amperima sp.) (Fig. 8a).
Most of the 13C in HAAs consisted of 13C in glutamic acid (21.3 ± 8.93%), in aspartic acid (16.9 ± 11.1%), and in alanine (15.3 ± 4.86%) (Fig. 9a), whereas most of the 15N in HAAs was incorporated in the amino acids glutamic acid (19.5 ± 1.46%), alanine (17.5 ± 5.25%), and aspartic acid (13.7 ± 4.91%) (Fig. 9b).
Holothurians incorporated 0.007 ± 0.007 µmol 13C-PLFA mmol−1 org. C (min, 0.002, Benthodytes sp.; max, 0.018, Peniagone sp.) and 0.064 ± 0.030 µmol 13C-NLFA mmol−1 org. C (min, 0.059 ± 0.050, Amperima sp.; max, 0.075, Peniagone sp.) (Fig. 8b). Most of the 13C in PLFAs consisted of 13C in C22:1ω9 cis (40.3 ± 23.1%), in C16:1ω7 cis (13.4 ± 7.33%), and in C16:0 (11.4 ± 7.53%) (Fig. 9c), whereas most of the 13C in NLFAs was incorporated in C22:1ω9 cis (32.1 ± 23.2%), C16:1ω7 cis (20.5 ± 9.16%), C20:0 (12.9 ± 8.49), and C14:0 (13.0 ± 3.30%) (Fig. 9d).
Dependence of holothurians on sediments and fresh phytodetritus
The HAAs aspartic acid, glutamic acid, leucine, phenylalanine, threonine, and valine occurred in statistically higher proportions in holothurians from the Peru Basin than in the surface sediment (0–2 cm) (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10a), implying a net accumulation of these amino acids. In comparison, the amino acids glycine, serine, and tyrosine and lysine combined showed a net deficiency, i.e., their proportions were statistically significantly higher in the surface sediment compared to the tissue of holothurians (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10a).
In the in-situ experiment, the difference in mole percentages of amino acids indicated a net deficiency of holothurians in aspartic acid, glutamic acid, leucine, and phenylalanine (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10a). In comparison, holothurians from this experiment had a net accumulation of glycine and threonine compared to the phytodetritus (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10a).
An assessment of PLFAs that contributed on average \(\ge\) 1% to total PLFAs in body wall tissue of holothurians from the Peru Basin showed that the PLFAs C18:5ω3, C18:5(n-3,6,9,12,16), C20:0, docosapentaenoic acid (DPA, C22:5ω3), DHA, C24:0, and Me-C26:2Δ(5,9) were present in statistically higher proportions in holothurians than in surface sediment (0–2 cm) (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10b, c) indicating a net accumulation of these PLFAs in holothurian tissue. The PLFAs C16:0, C18:0, C18:1ω7 cis, and ARA had net deficiencies in holothurians (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10b, c).
In the in-situ experiment, the difference in mole percentages of PLFA (\(\ge\) 1% of total PLFAs in body-wall tissue in in-situ holothurians) pointed towards a net accumulation of C18:0, C18:5ω3, C18:5(n-3,6,9,12,16), C20:0, C20:2ω9, EPA/C22:1ω9, C21:0, DPA, C24:0, C26:2Δ(9,19), and Me-C26:2Δ(5,9) in holothurian tissue (Wilcoxon rank sum tests W, p ≤ 0.05; Table S4, Fig. 10b, c). In comparison, holothurians had a net deficiency of EPA, Me-C28:2Δ(5,9) and C28:2Δ(11,21) (Wilcoxon rank sum test W, p < 0.04; Table S4, Fig. 10b, c) compared to the phytodetritus.
Discussion
For most of the holothurian species present in the Peru Basin, very little to no information is available about their feeding strategies and diet preferences. Therefore, we first infer feeding strategies for holothurians based on CSIA, and subsequently, we explore whether resource partitioning exists that could facilitate the high holothurian biodiversity in the Peru Basin. Finally, we discuss how holothurians affect organic C availability in sediments of the Peru Basin, and whether holothurians are dependent on amino acids and phospholipid-derived fatty acids from fresh phytodetritus.
Holothurians trophic level and inferred feeding strategy
Based on the δ15N value of body wall tissue, Iken et al. (2001) identified three trophic groups among holothurians from PAP: group A had δ15N values from 10.8 to 12.3‰, group B’s δ15N values ranged from 13.2 to 13.9‰, and group C had δ15N values from 15.6 to 16.2‰. The δ15N values of holothurian tissue from the Peru Basin investigated in this study were lower and ranged from 9.84‰ for Peniagone sp. to 14.4‰ for Oneirophanta sp. Instead of basing our classification of holothurians from the Peru Basin solely on δ15N values, we combined data of trophic level based on CSIA (amino acids, fatty acids) with results of a Bayesian mixing model, biomarkers, grain size analysis, and concentration factors for PLFAs.
CSIA of amino acids allows to calculate the total heterotrophic re-synthesis of amino acids \(\sum V\) which is a proxy for “heterotrophic reworking of proteinaceous material” (McCarthy et al. 2007). In the context of holothurians, \({\sum V}_{body-wall\;tissue}\) > \({\sum V}_{sediment}\) indicates that the heterotrophic gut microbiome re-works detritus that was ingested by the holothurians or that holothurians selectively consume material that has undergone more re-working. Among various holothurian species, species with a low \(\sum V\) value likely ingest more phytodetritus than sedimentary detritus compared to species with a high \(\sum V\) value, as McCarthy et al. (2007) detected a linear increase in \(\sum V\) from algae, via zooplankton, to detrital material.
When deep-sea holothurians have source amino acids in their gut contents that are enriched in 15N relative to sediments, these holothurians are likely secondary consumers of detritus, whereas the microbial community in their guts are primary consumers of detritus (Romero-Romero et al. 2021).
Ratios of the fatty acids C16:1ω7 to C16:0 and DHA to EPA are biomarkers for diatoms when \(\frac{C16:1\omega 7}{\mathrm{C}16:0 }\)> 1 or \(\frac{DHA}{EPA}\) < 1 (Kharlamenko et al. 1995; Budge and Parrish 1998; Dalsgaard et al. 2003; Parrish et al. 2005) and for dinoflagellates when \(\frac{C16:1\omega 7}{\mathrm{C}16:0 }\)< 1 or \(\frac{DHA}{EPA}\) > 1 (Budge and Parrish 1998; Dalsgaard et al. 2003; Parrish et al. 2005).
Order Elasipodida
P. hanseni (n = 1) is a deposit feeder of the family Laetmogonidae, which has a trophic level of 2.0, a low level of heterotrophic re-synthesis of amino acids and feeds selectively on sedimentary detritus particles of a medium grain size of 17.5 µm which is smaller than the medium grain size of the upper 5 cm of sediment (20.8 ± 0.3 µm; Mevenkamp et al. 2019). Based on the biomarkers present in the body wall tissue of the specimen analyzed and in its gut content, (large) parts of the sedimentary detritus likely consist of diatom-derived phytodetritus.
Elpidiidae gen sp. (n = 1) (family Elpidiidae) has a trophic level of 2.4 and medium level of heterotrophic re-synthesis of amino acids. This species is a selective deposit feeder that might ingest sedimentary detritus (Bayesian mixing model, 19.5 ± 17.6% contribution; 5–95% BCI, 0.80–54.9%) and/or Foraminifera (Bayesian mixing model, 36.9 ± 25.9% contribution; 5–95% BCI, 1.00–80.9%). Though, this result should be interpreted with caution due to the low capability of the Bayesian mixing model to constrain the contribution of the potential food sources.
The benthopelagic Peniagone sp. (n = 1) of the family Elpidiidae has an estimated trophic level of 2.7 and a very high level of heterotrophic re-synthesis of amino acids. This species has a “sweeping” feeding style (Roberts et al. 2000) and was found to assimilate fresh phytodetritus at PAP (Iken et al. 2001) with medium efficiency, as the PLFA concentration in its feces (CFfeces) is four times higher than in the surface sediment (this study). In the Peru Basin, Peniagone sp. seems to feed on diatom-derived phytodetritus, but likely also on sedimentary detritus as indicated by the high \(\sum V\) value. In fact, the poorly resolved Bayesian mixing model suggests an equal contribution of phytodetritus (16.9 ± 11.8%; 5–95% BCI, 1.20–37.8%) and sedimentary detritus (17.5 ± 15.8%; 5–95% BCI, 0.80–48.7%) to the holothurian diet.
Amperima sp. (n = 9) belongs to the family Elpidiidae and its trophic level was estimated to be 2.9 ± 0.3, potentially due to a medium level of heterotrophic re-synthesis of amino acids. This species is a very selective surface deposit feeder with a “sweeping” feeding style (Roberts et al. 2000) that grazes on very fresh phytodetritus on the surface sediment (Iken et al. 2001). As a result, the gut content of A. rosea at PAP has higher concentrations of chlorophyll-a compared to surface sediment or phytodetritus (FitzGeorge-Balfour et al. 2010). A more detailed analysis of the phytopigments in this gut content revealed that A. rosea at PAP feeds preferentially on cyanobacteria-derived phytodetritus (Wigham et al. 2003a). Based on the PLFA composition of its gut content, we found that Amperima sp. from the Peru Basin likely feeds on dinoflagellate-derived phytodetritus. Also, the body wall fatty acid composition in our study differs substantially from specimens from PAP, as the PLFA profile of PAP specimens is dominated by EPA, DHA, ARA, and C18:0 (Hudson et al. 2004), whereas the PLFA profile of Peru Basin specimens is characterized mostly by EPA co-eluted with C22:1ω9, Me-C26:2Δ(5,9), and C28:2Δ(11,21). Hence, it seems that the diet preferences of the well-studied Amperima sp. can differ substantially between ocean basins.
Benthodytes sp. (n = 6) from the family Psychropotidae has an estimated trophic level of 2.8 ± 0.5 and a very high level of heterotrophic re-synthesis of amino acids. It feeds with a “sweeper” feeding style (Roberts et al. 2000) selectively on smaller sediment particles (medium grain size, 13.0 µm) from the surface sediment. However, it likely does not or only moderately selects for specifically detritus-enriched particles. In fact, the high percentage of the bacteria-biomarker PLFAs C16:0, C16:1ω7 cis, and C18:1ω7 cis in its gut content and feces and the very high level of heterotrophic re-synthesis of amino acids indicates Benthodytes sp. hosts a large biomass of living heterotrophic prokaryotes. Though, the mean δ15Nsource AA-value is below the mean δ15Nsource AA-value across all holothurians investigated in this study, we hypothesize that Benthodytes sp. is a secondary consumer, and its microbial gut community is the primary consumer of detritus.
B. typica (n = 5) belongs to the family Psychropotidae and its trophic level is comparable (2.9) to the trophic level of Benthodytes sp. This species has a medium level of heterotrophic re-synthesis of amino acids and feeds selectively on smaller particles (medium grain size: 14.2 µm) from the ambient sediment. These smaller particles contain a four times higher PLFA concentration than the surrounding sediment and consist partially of diatom-derived phytodetritus. Reliance on phytodetritus is confirmed by the PLFA composition of B. typica body walls. In addition, this species either feeds selectively on sediment-bound prokaryotes or hosts prokaryotes because bacteria-specific PLFAs (i.e., C16:0, C16:1ω7 cis, and C18:1ω7 cis) contribute almost 30% to the total PLFA composition in feces. Also, the mean δ15Nsource AA-value is enriched compared to the mean δ15Nsource AA-value across all holothurians. Since a medium level of heterotrophic re-synthesis of amino acids was measured, B. typica likely has a mixed diet: In this diet, this holothurian species consumes phytodetritus as primary consumer and other types of detritus as secondary consumer following primary processing by the gut microbiome.
P. longicauda (n = 1) from the family Psychropotidae has a medium level of heterotrophic re-synthesis of amino acids. Feeding selectivity was the highest in our data, though, surprisingly, at PAP this species was found to feed less selectively than P. diaphana (FitzGeorge-Balfour et al. 2010). P. longicauda’s diet consists likely mainly of diatom-derived phytodetritus, but it is also possible that P. longicauda consumes filamentous Rhodophyceae. This algae has been found in gelatinous detritus in the deep sea of the NE Atlantic and Bühring et al. (2002) speculated that P. longicauda might feed on it sporadically, because the body walls of P. longicauda from specimens collected at PAP and in the Peru Basin contain EPA, a PLFA typical for Rhodophyceae, at relatively high concentrations (31% of total PLFA, this study; ~ 24% of total fatty acids at PAP; Ginger et al. 2000). Additionally, at PAP 70 to 80% of the gut content of this species contained sediment (Iken et al. 2001), which might originate from foraminiferans that Roberts and Moore (1997) found in its guts together with radiolarians, harpacticoids, nematodes, spicules, and diatoms.
P. semperiana (n = 1) (family Psychropotidae) has an estimated trophic level of 3.3, likely related to the high level of heterotrophic re-synthesis of amino acids. This species has been classified as surface deposit feeder (Iken et al. 2001) and based on the biomarkers in the body tissue of a specimen collected in the Peru Basin, it might also consume diatom-derived phytodetritus.
Order Holothuriida
Mesothuria sp. (n = 1) belongs to the family Mesothuriidae and has an estimated trophic level of 3.4. This species could be a subsurface (Iken et al. 2001) or surface deposit feeder (Miller et al. 2000) with a “raker” feeding style (Roberts et al. 2000) or feeding with a “wiping” motion (Hudson et al. 2005). The PLFA composition of its body walls suggests that Mesothuria sp. likely consumes diatom-derived phytodetritus. Indeed, in a study on the Hawaiian slope, gut contents of Mesothuria carnosa Fisher, 1907, had a 2.7-fold enrichment of chlorophyll-a pointing towards selective feeding on phytodetritus (Miller et al. 2000). Furthermore, the very high level of heterotrophic re-synthesis of amino acids from the Peru Basin suggests that Mesothuria sp. might also be a secondary consumer of detritus. However, we lack information about its gut content to confirm that it hosts a big(ger) living microbial biomass in its gut that is the primary consumer of detritus.
Order Synallactida
Oneirophanta sp. (n = 1) as member of the family Deimatidae has an estimated trophic level of 3.5 and a very high level of heterotrophic re-synthesis of amino acids. This species feeds selectively with a “raker” feeding style (Roberts et al. 2000) and takes up particles with a median grain size of 19.0 µm, which is slightly smaller than the median grain size of sediment particles in the Peru Basin (Mevenkamp et al. 2019). The specimen collected in the Peru Basin likely fed on diatom-derived phytodetritus and maybe on bacteria. The very high level of heterotrophic re-synthesis of amino acids and the high trophic level of Oneirophanta sp. points to the role of a secondary consumer of detritus, whereby a big biomass of microbial gut community serves as first consumers. However, bacteria specific PLFAs C16:0, C16:1ω7 cis, and C18:1ω7 cis, that were detected in high concentrations in the gut content of Benthodytes sp., contribute only 5% to the total PLFA composition in the gut content of Oneirophanta sp. Therefore, the diet preferences of this species in the Peru Basin are less clear.
Synallactidae gen sp. (n = 3) (family Synallactidae) has an estimated trophic level of 3.0 ± 1.5 and a medium level of heterotrophic re-synthesis of amino acids. It feeds extremely selectively and consumes particles of a median grain size that is smaller than the median grain size of the surface sediment in the Peru Basin. The PLFA composition of the body wall and the gut content of Synallactidae gen sp. indicates that this species predates upon agglutinated foraminiferans, and it consumes diatom-derived phytodetritus. However, it is not possible to differentiate whether Synallactidae gen sp. is a primary consumer of the phytodetritus or a secondary consumer, whereupon the foraminiferans are the primary consumer. The PLFA composition of the feces shows that this holothurian species is also a bacterivore as bacteria specific PLFAs (i.e., C16:0, C16:1ω7 cis, and C18:1ω7 cis) contribute 42% to the total PLFA composition in the feces. If Synallactes hosted a large community of living bacteria, we would expect to detect a significant amount of bacteria-specific PLFAs in the gut content and a higher level of heterotrophic re-synthesis of amino acids. Additionally, the mean δ15Nsource AA-value of its body-wall tissue would likely be enriched compared to the mean δ15Nsource AA-value across all species. Therefore, we assume that Synallactidae gen sp. has a mixed diet consisting of foraminiferans, bacteria, and phytodetritus.
Galatheathuria sp. the family Synallactidae has an estimated trophic level of 3.1 and a medium level of heterotrophic re-synthesis of amino acids. Like Synallactidae gen sp., it feeds extremely selectively) and Galatheathuria sp. seems to consume preferably diatom-derived phytodetritus.
Classification of holothurian trophic groups
Here, we propose a classification system of trophic groups for holothurians from the Peru Basin (Fig. 11). It is based on cluster analysis of trophic levels, heterotrophic re-synthesis level of amino acids, feeding selectivity, and diet preferences. Trophic group 1 has a narrow trophic level between 2.7 and 2.9, feeds either very selectively or unselectively on phytodetritus and sedimentary detritus. Though, not statistically confirmed, we suggest splitting this trophic group 1 in two subgroups: Trophic group 1a includes the very selectively feeding Amperima sp. with its dinoflagellate-derived detritus diet and trophic group 1b comprises the unselective feeders Benthodytes sp., B. typica, and Peniagone sp. that consume diatom-derived phytodetritus and sedimentary detritus.
Trophic group 2, in comparison, has a very large trophic level range between 2.0 and 3.5. This trophic group could be split again into two subgroups: Trophic group 2a (P. longicauda, Galatheathuria sp., Synallactidae gen sp., Mesothuria sp., P. semperiana) has a trophic level between 3.0 and 3.4 and feeds extremely selectively on phytodetritus or on a mixed diet with phytodetritus, sedimentary detritus, and bacteria. Trophic group 2b consists of Elpidiidae gen sp., P. hanseni, and Oneirophanta sp. that feed selectively on phytodetritus, foraminiferans, sedimentary detritus, and bacteria.
Potential resource partitioning and its importance for holothurian biodiversity in the Peru Basin
With 23 different holothurian morphotypes observed, the holothurian biodiversity in the abyssal plain of the Peru Basin is higher than in the abyssal plains around the Bullard Fracture Zone and the South Orkney Islands (Southern Ocean; Ogawa et al. 2022), the abyssal central Cantabrian Sea (NE Atlantic; Fernández-Rodríguez et al. 2019), the abyssal Aleutian Basin (Bering Sea, NE Pacific; Sigwart et al. 2023), and at PAP (Iken et al. 2001), but lower than at Station M (NE Pacific; Kuhnz et al. 2020) and in the Clarion-Clipperton Fracture Zone (CCZ, central N Pacific; Simon-Lledó et al. 2023a, b). The co-existence of so many deposit-feeding species of the same taxonomic class is astonishing, as one might expect a strong competition among the different taxa leading ultimately to taxa being outcompeted.
In the 1970s, Menge and Sutherland (1976) synthesized that high local species diversity is maintained by predation (i.e., predation hypothesis; Paine 1966, 1971) and competition (i.e., competition hypothesis; Dobzhansky 1950). To reduce this interspecific competition, similar species may subdivide their use of the available food sources (Schoener 1974; Winemiller and Pianka 1990), a process known as resource partitioning. Such resource partitioning along a decomposition gradient of food sources likely accounts for the high diversity of detritivores in soils (Schneider et al. 2004; Chahartaghi et al. 2005; Hishi et al. 2007). In an experiment with shallow-water benthic deposit-feeding echinoderms (i.e., holothurians and echinoids), however, species-specific traits and not resource partitioning explained the co-occurrence of species of the same feeding guild (Godbold et al. 2009).
The high holothurian biodiversity in the Peru Basin, in contrast, seems to be maintained by a combination of resource partitioning and particular selectivity, likely due to species-specific traits, such as different tentacle morphology (Roberts and Moore 1997; Pierrat et al. 2022), feeding rates and gut residence time (Godbold et al. 2009; Durden et al. 2020), and/or mobility (Smith et al. 1993; Kaufmann and Smith 1997; Miguez-Salas et al. 2020). For instance, Amperima sp. as the only member of trophic group 1a (“Classification of holothurian trophic groups”) moves non-randomly (Bluhm and Gebruk 1999) in a uniform direction with a mean speed of 3.3 ± 1.8 cm h−1 (Wigham 2002). It moves mostly slowly and is stationary only 22% of the time (Wigham 2002). In fact, at PAP, A. rosea had a 20 times higher tracking rate between 1997 and 1998 than the other holothurians present (Bett et al. 2001). As Amperima sp. shares the same tentacle structure (peltate) with Benthodytes sp. and P. longicauda (Roberts et al. 2000), we hypothesize, that indeed, mobility is the specific trait that enables this species to create its own feeding niche and to partition its food sources from the resources of the other holothurian species.
In comparison, the member of trophic group 1b Peniagone sp. can swim (Stratmann, personal observation; Pawson and Foell 1986; Bluhm and Gebruk 1999; Gong et al. 2020) and it was estimated that Peniagone leander Pawson & Foell 1986, spends about half of its time at the seafloor and the other half swimming within 50 m above the seafloor (Pawson and Foell 1986). At the seafloor, Peniagone vitrea Théel, 1882, moves with 8.1 ± 7.9 cm h−1 (Smith et al. 1993) to 10.1 ± 12.9 cm h−1(Kaufmann and Smith 1997) in a “running pattern” (frequency of records, 46%) and in large loops (39%) (Kaufmann and Smith 1997). The species is therefore faster than Amperima sp., but slower than O. mutabilis mutabilis (64.6 ± 68.4 cm h−1) and Synallactes profundi (Koehler & Vaney, 1905) (12.7 ± 11.9 cm h−1) (Kaufmann and Smith 1997). Peniagone sp. has simple peltate tentacles (Roberts et al. 2000) and uses selective ingestion as primary feeding strategy (Purinton et al. 2008). Hence, in the Peru Basin this species probably co-occurs with the other holothurians due to its specific mobility trait and its selectivity.
P. longicauda as an example of trophic group 2a moves at the seafloor with a speed of 2.6 cm h−1 (Wigham 2002) and it may be able to “sail” using its velum (Gebruk 1995). This species has peltate tentacles (Roberts and Moore 1997) and a complex gut system with a more extended pharynx and rectum compared to Oneirophanta sp. and M. villosus (Théel, 1886) (Moore et al. 1995). This type of gut system might function as a mixing chamber (Penry and Jumars 1987) in which fermentation occurs (Roberts et al. 2000). Following that line of thought, the pattern we see in our data might not show extreme selectivity of food sources, but very efficient fermentation. However, as Khripounoff and Sibuet (1980) found a four times enrichment of organic C in the particles in P. longicauda’s pharynx compared to the ambient sediment, we propose that in the Peru Basin this species combines selective feeding with efficient fermentation.
Oneirophanta sp. (trophic group 2b) is the fastest holothurian species in this study and moves non-randomly with a speed of 84.8 ± 80.9 cm h−1 (Smith et al. 1993) to 128.9 ± 68.3 cm h−1 (Smith et al. 1997) in a “running pattern” (frequency of records, 60%) (Kaufmann and Smith 1997). With its digitate tentacles (Roberts and Moore 1997) and its fast locomotion, Oneirophanta sp. is adapted to exploit fast fresh phytodetritus (Roberts et al. 2000; Witbaard et al. 2001; Wigham et al. 2003a) and replaces its gut content completely every 5 days (Witbaard et al. 2001). When P. longicauda and Oneirophanta sp. co-occur like in the Peru Basin, Oneirophanta sp. outcompetes P. longicauda when fresh phytodetritus is available, but when fresh/labile detritus is rare, both species compete for the same material (Neto et al. 2006; FitzGeorge-Balfour et al. 2010).
Hence, we suggest that the high biodiversity of holothurians in the Peru Basin is maintained by differences in species-specific traits (i.e., mobility, tentacle morphology, gut structure) which allow resource partitioning and selectivity.
The effect of holothurians on sedimentary organic carbon availability in the Peru Basin
Nine of the 13 species analyzed in this study were detected visually in an area of the Peru Basin that Stratmann et al. (2018b) called “reference site.” There, they had a density of 157 ± 9 ind. ha−1 (Stratmann et al. 2018b) and contributed 65% to total holothurian density in the Peru Basin. For a subgroup of these species for which data on gut contents (Table 5) and densities (Stratmann et al. 2018b) were available, it was possible to calculate the gut sediment stock. Together, Amperima sp., Benthodytes sp., Elpidiidae gen sp., Oneirophanta sp., Peniagone sp., P. hanseni, and Synallactes sp. (morphotype “pink”) hold a gut sediment stock of 0.02 g DM gut content m−2. In comparison, in the Santa Catalina Basin (NE Pacific) the three dominant surface deposit feeders Pannychia moseleyi Théel, 1882 (holothurian), Chiridota sp. Eschscholtz, 1829 (holothurian), and Bathybembix bairdii Dall, 1889 (gastropod) have a gut standing stock of 0.27 g DM gut content m−2 (Miller et al. 2000). Even though, it seems as if the holothurians in the Peru Basin have a very small gut sediment stock, the species used to calculate the stocks include only one (Amperima sp.) of the three dominant holothurian species in the Peru Basin. Therefore, a direct comparison of these two datasets is not possible, but it is likely that the gut sediment stock of holothurians in the Peru Basin is comparable to the gut sediment stock of the dominant surface deposit feeders in the Santa Catalina Basin.
Based on the sediment stocks, it is possible to estimate sediment ingestion rates and upscale how much of the sediment in the Peru Basin is bioturbated by 65% of all holothurians. Unfortunately, we lacked information about gut residence times (GRTs) for most holothurian species for which we had gut sediment stock data. Therefore, we approximated min and max ranges of sediment ingestion rates by applying the same GRTs that were used previously in the literature (minGRT = 1 day, Miller et al. 2000; maxGRT = 6 days, Lauerman et al. 1997) and multiplying it with a gut sediment stock of 0.02 g DM gut content m−2. Hence, 65% of the holothurians reworked between 1.2 and 7.3 g DM sediment m−2 year−1. In comparison, the shallow-water tropical coral reef holothurians Holothuria atra Jaeger, 1833, and Stichopus chloronotus Brandt, 1835, consume 4.6 kg DM sediment m−2 year−1 at Lizard Island (Great Barrier Reef, Australia, SW Pacific) which implies they bioturbate all the sediment in the upper 5 mm (Uthicke 1999). Holothuria scabra Jaeger, 1833, populations in Fiji (SW Pacific) even ingest 10.5 kg DM sediment m−2 year−1 (Lee et al. 2018) and in W Australia Holothuria whitmaei Bell, 1887, ingests yearly between 2 and 14% of all the available sediment (0 − 5 mm sediment depth) in 1 ha (Shiell and Knott 2010).
It was estimated that P. moseleyi, Chiridota sp., and B. bairdii process 39 − 52% of the daily particulate organic carbon (POC) flux to the Santa Catalina Basin (Miller et al. 2000), whereas at Station M, mobile invertebrate megabenthos including holothurians could process 0.2 to 4% of the daily POC flux that reaches the seafloor (Smith et al. 1993; Lauerman et al. 1997). Hence, an estimated ingestion of 4 to 27% of the daily POC flux to the Peru Basin (1.3 mg C m−2 d−1; Hoving et al. 2023) by 65% of the holothurian community seems reasonable.
Not all the organic material that holothurians ingest is assimilated. Instead, a substantial fraction is egested as feces. In fact, the fecal cast of a holothurian in the in-situ experiment still contained 0.036 mmol phytodetritus C g−1 DM feces and 0.028 mmol phytodetritus N g−1 DM feces from the S. costatum with which it was fed. Also, in the Nazaré canyon, the fecal casts of M. musculus still contained 4.04 ± 0.61 mg biopolymeric C g−1 DM sediment (Amaro et al. 2010). Hence, holothurians increase the patchiness of organic C distribution in abyssal marine surface sediments by producing fecal casts which, in theory, could be an important food source for detritivores/coprophagous feeders. However, a time-lapse camera study in 1978 showed that the fecal cast of a holothurian was still distinguishable after 202 days (Paul et al. 1978) pointing towards a low number of abyssal coprophagous feeders that target holothurian fecal casts.
Dependence of holothurians on fresh phytodetritus
In the in-situ experiment, the holothurians assimilated the S. costatum-derived PLFAs C14:0, C16:0, C16:1ω7 cis, and EPA (Volkman et al. 1989; Table S5), whereas the largest fraction of 13C-PLFAs and 13C-NLFAs (PLFAs: 32 − 59%; NLFAs: 27 − 42%; Fig. 9) was C22:1ω9 cis. This fatty acid was not present in S. costatum (Table S5), but it can be biosynthesized via carbon-chain elongation of the precursor C18:1ω9 cis (Ackman and Castell 1966) which existed in S. costatum (Table S5). However, the ecologically/physiologically most interesting 13C-PLFA and 13C-NLFA is DPA, which was not detected in S. costatum (Table S5). This fatty acid is biosynthesized from EPA via a two carbon-chain elongation (Mansour et al. 2005) and is used by the shallow-water ophiuroid Amphiura (Amphiura) elandiformis A.M. Clark, 1966, to synthesize DHA via Δ4 desaturation (Mansour et al. 2005). One of the Amperima sp. specimens in the in-situ experiment was in fact able to biosynthesize DPA (0.080 nmol 13C-PLFA mmol−1 org. C) and DHA (0.019 nmol 13C-PLFA mmol−1 org. C) indicating that this biosynthetic pathway can be performed by a broader range of taxonomic classes, including ophiuroids (Mansour et al. 2005), asteroids (Jeffreys et al. 2009), holothurians (this study), arthropods (Jeffreys et al. 2009), polychaetes (Jeffreys et al. 2009), and anthozoans (Jeffreys et al. 2009). Furthermore, it implies that holothurians, or at least Amperima sp., are less dependent on ingesting all “essential” fatty acids with their food as they can biosynthesize DHA themselves when EPA is available.
The ability of Amperima sp. to biosynthesize DHA from a precursor fatty acid might explain why holothurians in the Peru Basin showed a net accumulation in this “essential” fatty acid (Fig. 10c), while they had a net deficiency in ARA. They could not remedy this deficiency in ARA by ingesting fresh phytodetritus in the in-situ experiment because S. costatum did not contain this specific fatty acid. Besides these “essential” fatty acids, holothurians also had a net deficiency in C16:0, C18:0, and C18:1ω1 cis (Fig. 10b). C16:0 and C18:1ω1 cis are fatty acids that are present in bacteria (Table 1). Hence, a deficiency in these fatty acids could imply that holothurians either did not ingest enough bacteria or bacteria-covered particles (Pierrat et al. 2022) or that the microbiome in their guts did not produce these fatty acids in sufficient quantities.
Holothurians from the Peru Basin had a net accumulation of most EAAs (leucine, phenylalanine, threonine, valine), whereas the specimens from the in-situ experiment showed a net deficiency in them. This indicates that these specific EAAs are not limited in the Peru Basin, but instead are available in sufficient concentrations so that a pulse of fresh phytodetritus will likely not be completely depleted.
Holothurians are not only dependent on specific “essential” fatty acids and EAAs that they have to take up by grazing upon phytodetritus or biosynthesize partly themselves. They also depend on phytodetritus containing the required chemical composition which changes depending on the growth conditions of phytoplankton (Grosse et al. 2017, 2019). Already from 2000 to 2015 the pelagic phytoplankton community has changed on a global scale with either a decrease in diatom abundance, and/ or a change in the physiology of phytoplankton (Lorrain et al. 2020). For the Peru Basin, no further changes in phytoplankton species richness are predicted for the period from 2081 to 2100 (Benedetti et al. 2021), but less POC flux is predicted to reach the abyssal seafloor in 2100 compared to present day conditions (Sweetman et al. 2017). This implies that holothurians in the Peru Basin will be more dependent on pulses of fresh phytodetritus—though not on S. costatum—in the future than at present day as the sediment will likely contain less “essential” fatty acids and EAAs that originated from surface primary producers and eventually sank to the seafloor than now.
Conclusion
This study identified feeding strategies and diet preferences of 13 putative holothurian species from the Peru Basin which can be classified in two major trophic groups based on trophic level, level of heterotrophic re-synthesis of amino acids, feeding selectivity, and diet preferences. The differences in selectivity and resource partitioning were likely related to species-specific variability in mobility, tentacle morphology, and gut structure and allowed the high biodiversity of holothurians in the abyssal plain of the Peru Basin. It was estimated that a subgroup of the holothurian community is able to process between 4 and 27% of the daily POC flux and, in doing so, increases the heterogeneity of organic matter availability in the Peru Basin. Under current conditions, holothurians are limited in the “essential” fatty acid ARA, while at least one species of the assemblage is able of biosynthesizing DHA from EPA. EAA is still available in sufficient concentrations in the environment, but this might change in the future when less POC flux reaches the abyssal plains.
References
Ackman RG (1989) Marine biogenic lipids, fats, and oils. CRC Press, Boca Raton, Florida
Ackman RG, Castell JD (1966) Isomeric monoethylenic fatty acids in herring oil. Lipids 1:341–348
Alt CHS, Rogacheva A, Boorman B et al (2013) Trawled megafaunal invertebrate assemblages from bathyal depth of the Mid-Atlantic Ridge (48°-54°N). Deep-Sea Res II 98:326–340. https://doi.org/10.1016/j.dsr2.2013.02.003
Amaro T, Bianchelli S, Billett DSM et al (2010) The trophic biology of the holothurian Molpadia musculus: implications for organic matter cycling and ecosystem functioning in a deep submarine canyon. Biogeosciences 7:2419–2432. https://doi.org/10.5194/bg-7-2419-2010
Benedetti F, Vogt M, Elizondo UH et al (2021) Major restructuring of marine plankton assemblages under global warming. Nat Commun 12. https://doi.org/10.1038/s41467-021-25385-x
Bett BJ, Malzone MG, Narayanaswamy BE, Wigham BD (2001) Temporal variability in phytodetritus and megabenthic activity at the seabed in the deep Northeast Atlantic. Prog Oceanogr 50:349–368. https://doi.org/10.1016/S0079-6611(01)00066-0
Billett DSM (1991) Deep-sea holothurians. Oceanogr Mar Biol 29:259–317
Billett DSM, Bett BJ, Rice AL et al (2001) Long-term change in the megabenthos of the Porcupine Abyssal Plain (NE Atlantic). Prog Oceanogr 50:325–348. https://doi.org/10.1016/S0079-6611(01)00060-X
Billett DSM, Bett BJ, Reid WDK et al (2010) Long-term change in the abyssal NE Atlantic: The “Amperima Event” revisited. Deep-Sea Res II 57:1406–1417. https://doi.org/10.1016/j.dsr2.2009.02.001
Bligh EG, Dyer WJ (1959) A rapid method of total lipid extraction and purification. Can J Biochem Physiol 37:911–917. https://doi.org/10.1139/o59-099
Bluhm H, Gebruk AV (1999) Holothuroidea (Echinodermata) of the Peru Basin - ecological and taxonomic remarks based on underwater images. Mar Ecol 20:167–195. https://doi.org/10.1046/j.1439-0485.1999.00072.x
Boetius A (2015) RV SONNE Fahrtbericht / cruise report SO242–2 [SO242/2]: JPI OCEANS ecological aspects of deep-sea mining, DISCOL Revisited, Guayaquil - Guayaquil (Equador) 28.08.-01.10.2015
Boschker H (2008) Linking microbial community structure and functioning: stable isotope (13C) labeling in combination with PLFA analysis. Mol Microb Ecol Man II:1673–1688. https://doi.org/10.1007/978-1-4020-2177-0_807
Boschker HTS, de Brouwer JFC, Cappenberg TE (1999) The contribution of macrophyte-derived organic matter to microbial biomass in salt-marsh sediments: stable carbon isotope analysis of microbial biomarkers. Limnol Oceanogr 44:309–319. https://doi.org/10.4319/lo.1999.44.2.0309
Brown A, Hauton C, Stratmann T et al (2018) Metabolic rates are significantly lower in abyssal Holothuroidea than in shallow-water Holothuroidea. R Soc Open Sci 5:172162. https://doi.org/10.1098/rsos.172162
Budge SM, Parrish CC (1998) Lipid biogeochemistry of plankton, settling matter and sediments in Trinity Bay Newfoundland II. Fatty Acids Org Geochem 29:1547–1559
Bühring SI, Koppelmann R, Christiansen B, Weikert H (2002) Are Rhodophyceae a dietary component for deep-sea holothurians? J Mar Biol Assoc UK 82:347–348. https://doi.org/10.1017/S0025315402005556
Chahartaghi M, Langel R, Scheu S, Ruess L (2005) Feeding guilds in Collembola based on nitrogen stable isotope ratios. Soil Biol Biochem 37:1718–1725. https://doi.org/10.1016/j.soilbio.2005.02.006
Chikaraishi Y, Ogawa NO, Kashiyama Y et al (2009) Determination of aquatic food-web structure based on compound-specific nitrogen isotopic composition of amino acids. Limnol Oceanogr Methods 7:740–750. https://doi.org/10.4319/lom.2009.7.740
Choi A, Song J, Joung Y et al (2015) Lentisphaera profundi sp. nov., isolated from deep-sea water. Int J Syst Evol Microbiol 65:4186–4190. https://doi.org/10.1099/ijsem.0.000556
Dalsgaard J, St. John M, Kattner G et al (2003) Fatty acid trophic markers in the pelagic marine environment. Adv Mar Biol 46:225–340. https://doi.org/10.1016/S0065-2881(03)46005-7
Dice LR (1945) Measures of the amount of ecological association between species. Ecology 26:297–302
Dobzhansky T (1950) Evolution in the tropics. Am Sci 38:208–221
Durden JM, Bett BJ, Huffard CL et al (2020) Response of deep-sea deposit-feeders to detrital inputs: a comparison of two abyssal time-series sites. Deep-Sea Res II 173:104677. https://doi.org/10.1016/j.dsr2.2019.104677
Elvert M, Boetius A, Knittel K, Barker Jørgensen BO (2003) Characterization of specific membrane fatty acids as chemotaxonomic markers for sulfate-reducing bacteria involved in anaerobic oxidation of methane. https://doi.org/10.1080/01490450390241071
Engel N, Aguado MT, Maraun M (2023) Trophic ecology of three marine polychaete species: evidence from laboratory experiments using stable isotope (15N, 13C), fatty acid (NLFA) analyses, and C and N stoichiometry. Mar Environ Res 185. https://doi.org/10.1016/j.marenvres.2023.105878
Erbe T (1999) Die Quantifizierung von Aminosäurenisomeren in Lebensmitteln mittels chiraler Gaschromatographie-Massenspektrometrie im Hinblick auf die Relevanz und die Entstehungsmechanismen von D-Aminosäuren. Justus-Liebig-Universität Gießen
Faergeman NJ, Knudsen J (1997) Role of long-chain fatty acyl-CoA esters in the regulation of metabolism and in cell signalling. Biochemical Journal 323:1–12
Falk-Petersen S, Sargent JR, Tande KS (1987) Lipid composition of zooplankton in relation to the Sub-Arctic food web. Polar Biol 8:115–120
Fernández-Rodríguez I, Arias A, Anadón N, Acuña JL (2019) Holothurian (Echinodermata) diversity and distribution in the central Cantabrian Sea and the Avilés Canyon System (Bay of Biscay). Zootaxa 4567:293–325
Findlay RH, Trexler MB, Guckerte JB, White DC (1990) Laboratory study of disturbance in marine sediments: response of a microbial community. Mar Ecol Prog Ser 62:121–133
FitzGeorge-Balfour T, Billett DSM, Wolff GA et al (2010) Phytopigments as biomarkers of selectivity in abyssal holothurians; interspecific differences in response to a changing food supply. Deep-Sea Res II 57:1418–1428. https://doi.org/10.1016/j.dsr2.2010.01.013
Fry B (2006) Stable Isotope Ecology, 3rd edn. Springer, New York, New York, NY
Gausepohl F, Hennke A, Schoening T et al (2020) Scars in the abyss: reconstructing sequence, location and temporal change of the 78 plough tracks of the 1989 DISCOL deep-sea disturbance experiment in the Peru Basin. Biogeosciences 17:1463–1493. https://doi.org/10.5194/bg-17-1463-2020
Gausepohl F, Hennke A, Schoening T et al (2019) Bathymetric grid from the DISCOL working area of SONNE cruise SO242/1 in the Peru Basin. PANGAEA
Gebruk AV (1995) Locomotory organs in the elasipodid holothurians: functional-morphological and evolutionary approaches. In: Emson R, Smith A, Campbell A (eds) Echinoderm Research. Balkema, Rotterdam, pp 95–102
Gelman A, Rubin DB (1992) Inference from iterative simulation using multiple sequences. Stat Sci 7:457–472. https://doi.org/10.1214/ss/1177011136
Gelman A, Carlin JB, Stern HS et al (2014) Bayesian data analysis. Chapman & Hall/ CRC, Boca Raton, FL
Geweke J (1991) Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. Research Department Staff Report, pp 1–30
Ginger ML, Santos VLCS, Wolff GA (2000) A preliminary investigation of the lipids of abyssal holothurians from the north-east Atlantic Ocean. J Mar Biol Assoc U K 80:139–146. https://doi.org/10.1017/s0025315499001654
Ginger ML, Billett DSM, Mackenzie KL et al (2001) Organic matter assimilation and selective feeding by holothurians in the deep sea: some observations and comments. Prog Oceanogr 50:407–421
Glencross BD (2009) Exploring the nutritional demand for essential fatty acids by aquaculture species. Aquac Res 48:71–124. https://doi.org/10.1111/J.1753-5131.2009.01006.X
Godbold JA, Rosenberg R, Solan M (2009) Species-specific traits rather than resource partitioning mediate diversity effects on resource use. PLoS One 4. https://doi.org/10.1371/journal.pone.0007423
Gong L, Li X, Xiao N et al (2020) Rediscovery of the abyssal species Peniagone leander Pawson and Foell, 1986 (Holothuroidea: Elasipodida: Elpidiidae): the first record from the Mariana Trench area. J Oceanol Limnol 38:1319–1327. https://doi.org/10.1007/s00343-020-0067-9
Graber S, Sumida C, Nunez E (1994) Fatty acids and cell signal transduction. J Lipid Mediat Cell Signal 9:91–116
Graeve M, Dauby P, Scailteur Y (2001) Combined lipid, fatty acid and digestive tract content analyses: a penetrating approach to estimate feeding modes of Antarctic amphipods. Polar Biol 24:853–862. https://doi.org/10.1007/s003000100295
Grosse J, Brussaard CPD, Boschker HTS (2019) Nutrient limitation driven dynamics of amino acids and fatty acids in coastal phytoplankton. Limnol Oceanogr 64:302–316. https://doi.org/10.1002/lno.11040
Grosse J, Burson A, Stomp M et al (2017) From ecological stoichiometry to biochemical composition: variation in N and P supply alters key biosynthetic rates in marine phytoplankton. Front Microbiol 8. https://doi.org/10.3389/fmicb.2017.01299
Grupe B, Becker HJ, Oebius HU (2001) Geotechnical and sedimentological investigations of deep-sea sediments from a manganese nodule field of the Peru Basin. Deep-Sea Res II 48:3593–3608. https://doi.org/10.1016/S0967-0645(01)00058-3
Gutiérrez MH, Vera J, Srain B et al (2020) Biochemical fingerprints of marine fungi: implications for trophic and biogeochemical studies. Aquat Microb Ecol 84:75–90. https://doi.org/10.3354/ame01927
Hishi T, Hyodo F, Saitoh S, Takeda H (2007) The feeding habits of Collembola along decomposition gradients using stable carbon and nitrogen isotope analyses. Soil Biol Biochem 39:1820–1823. https://doi.org/10.1016/j.soilbio.2007.01.028
Hoving H-J, Boetius A, Dunlop K et al (2023) Major fine-scale spatial heterogeneity in accumulation of gelatinous carbon fluxes on the deep seabed. Front Mar Sci 10:1192242. https://doi.org/10.3389/fmars.2023.1192242
Hudson IR, Wigham BD, Billett DSM, Tyler PA (2003) Seasonality and selectivity in the feeding ecology and reproductive biology of deep-sea bathyal holothurians. Prog Oceanogr 59:381–407. https://doi.org/10.1016/j.pocean.2003.11.002
Hudson IR, Pond DW, Billett DSM et al (2004) Temporal variations in fatty acid composition of deep-sea holothurians: evidence of bentho-pelagic coupling. Mar Ecol Prog Ser 281:109–120
Hudson IR, Wigham BD, Solan M, Rosenberg R (2005) Feeding behaviour of deep-sea dwelling holothurians: inferences from a laboratory investigation of shallow fjordic species. J Mar Syst 57:201–218. https://doi.org/10.1016/j.jmarsys.2005.02.004
Iken K, Brey T, Wand U et al (2001) Food web structure of the benthic community at the Porcupine Abyssal Plain (NE Atlantic): a stable isotope analysis. Prog Oceanogr 50:383–405
Jarman CL, Larsen T, Hunt T et al (2017) Diet of the prehistoric population of Rapa Nui (Easter Island, Chile) shows environmental adaptation and resilience. Am J Phys Anthropol 164:343–361. https://doi.org/10.1002/ajpa.23273
Jeffreys RM, Wolff GA, Murty SJ (2009) The trophic ecology of key megafaunal species at the Pakistan Margin: Evidence from stable isotopes and lipid biomarkers. Deep Sea Res 1 Oceanogr Res Pap 56:1816–1833. https://doi.org/10.1016/j.dsr.2009.05.001
Kassambara A, Mundt F (2020) Factoextra: extract and visualize the results of multivariate data analyses. (R package version 1.0.7). https://CRAN.R-project.org/package=factoextra
Kaufmann RS, Smith KL (1997) Activity patterns of mobile epibenthic megafauna at an abyssal site in the eastern North Pacific : results from a 17-month time-lapse photographic study. Deep-Sea Res I 44:559–579
Kharlamenko VI (2018) Abyssal foraminifera as the main source of rare and new polyunsaturated fatty acids in deep-sea ecosystems. Deep-Sea Res II 154:358–364. https://doi.org/10.1016/j.dsr2.2017.10.015
Kharlamenko VI, Zhukova NV, Khotimchenko SV et al (1995) Fatty acids as markers of food sources in a shallow-water hydrothermal ecosystem (Kraternaya Bight, Yankich Island, Kurile Islands). Mar Ecol Prog Ser 120:231–241
Khripounoff A, Sibuet M (1980) La nutrition d’echinodermes abyssaux. I Alimentation Des Holothuries Mar Biol 60:17–26
Koleff P, Gaston KJ, Lennon JJ (2003) Measuring beta diversity for presence-absence data. J Anim Ecol 72:367–382. https://doi.org/10.1046/j.1365-2656.2003.00710.x
Kuhnz LA, Ruhl HA, Huffard CL, Smith KL (2020) Benthic megafauna assemblage change over three decades in the abyss: variations from species to functional groups. Deep Sea Res 2 Top Stud Oceanogr 173. https://doi.org/10.1016/j.dsr2.2020.104761
Kurkiewicz S, Dzierzewicz Z, Wilczok T, Dworzanski JP (2003) GC/MS determination of fatty acid picolinyl esters by direct Curie-point pyrolysis of whole bacterial cells. J Am Soc Mass Spectrom 14:58–62. https://doi.org/10.1016/S1044-0305(02)00817-6
Larkin KE, Gooday AJ, Woulds C et al (2014) Uptake of algal carbon and the likely synthesis of an “essential” fatty acid by Uvigerina ex. gr. semiornata (Foraminifera) within the Pakistan margin oxygen minimum zone: evidence from fatty acid biomarker and 13C tracer experiments. Biogeosciences 11:3729–3738. https://doi.org/10.5194/bg-11-3729-2014
Lauerman LML, Smoak JM, Shaw TJ et al (1997) 234Th and 210Pb evidence for rapid ingestion of settling particles by mobile epibenthic megafauna in the abyssal NE Pacific. Limnol Oceanogr 42:589–595. https://doi.org/10.4319/lo.1997.42.3.0589
Lee S, Ford AK, Mangubhai S et al (2018) Effects of sandfish (Holothuria scabra) removal on shallow-water sediments in Fiji. PeerJ 2018. https://doi.org/10.7717/peerj.4773
Libes S (2009) Introduction to marine biogeochemistry, 2nd edn. Academic Press Inc, Burlington
Lindsay DB (1975) Fatty acids as energy sources. Proceedings of the Nutrition Society 34:241–248. https://doi.org/10.1079/pns19750045
Lorrain A, Pethybridge H, Cassar N et al (2020) Trends in tuna carbon isotopes suggest global changes in pelagic phytoplankton communities. Glob Chang Biol 26:458–470. https://doi.org/10.1111/gcb.14858
Lovern J (1935) Fat metabolism in fishes: the fats of some plankton crustacea. Biochemical Journal 29:847–849
Lüdecke D, Ben-Shachar M, Patil I, Makowski D (2020) Extracting, computing and exploring the parameters of statistical models using R. J Open Source Softw 5:2445. https://doi.org/10.21105/joss.02445
Maier SR, Kutti T, Bannister RJ et al (2019) Survival under conditions of variable food availability: resource utilization and storage in the cold-water coral Lophelia pertusa. Limnol Oceanogr 64:1651–1671. https://doi.org/10.1002/lno.11142
Mansour MP, Holdsworth DG, Forbes SE et al (2005) High contents of 24:6(n-3) and 20:1(n-13) fatty acids in the brittle star Amphiura elandiformis from Tasmanian coastal sediments. Biochem Syst Ecol 33:659–674. https://doi.org/10.1016/j.bse.2004.12.011
Marchig V, Von Stackelberg U, Hufnagel H, Durn G (2001) Compositional changes of surface sediments and variability of manganese nodules in the Peru Basin
Marsay CM, Sanders RJ, Henson SA et al (2015) Attenuation of sinking particulate organic carbon flux through the mesopelagic ocean. Proc Natl Acad Sci 112:1089–1094. https://doi.org/10.1073/pnas.1415311112
Massin C (1982) Food and feeding mechanisms: Holothuroidea. In: Jangoux M, Lawrence JM (eds) Echinoderm Nutrition. Balkema, Rotterdam, pp 43–55
McCarthy MD, Benner R, Lee C, Fogel ML (2007) Amino acid nitrogen isotopic fractionation patterns as indicators of heterotrophy in plankton, particulate, and dissolved organic matter. Geochim Cosmochim Acta 71:4727–4744. https://doi.org/10.1016/j.gca.2007.06.061
McClelland JW, Montoya JP (2002) Trophic relationships and the nitrogen isotopic composition of amino acids in plankton. Ecology 83:2173–2180. https://doi.org/10.1890/0012-9658(2002)083[2173:TRATNI]2.0.CO;2
Menge BA, Sutherland JP (1976) Species diversity gradients: synthesis of the roles of predation, competition, and temporal heterogeneity. Am Nat 110:351–369
Mevenkamp L, Guilini K, Boetius A et al (2019) Responses of an abyssal meiobenthic community to short-term burial with crushed nodule particles in the South-East Pacific. Biogeosciences 16:2329–2341. https://doi.org/10.5194/bg-16-2329-2019
Middelburg JJ, Barranguet C, Boschker HTS et al (2000) The fate of intertidal microphytobenthos carbon: an in situ 13C-labeling study. Limnol Oceanogr 45:1224–1234. https://doi.org/10.4319/lo.2000.45.6.1224
Miguez-Salas O, Huffard CL, Smith KL et al (2020) Faunal assemblage changes, bioturbation and benthic storms at an abyssal station in the northeastern Pacific. Deep Sea Res 1 Oceanogr Res Pap 160. https://doi.org/10.1016/j.dsr.2020.103277
Miller RJ, Smith CR, Demaster DJ, Fornes WL (2000) Feeding selectivity and rapid particle processing by deep-sea megafaunal deposit feeders: a 234 Th tracer approach. J Mar Res 58:653–673
Moore H, Manship B, Roberts D (1995) Gut structure and digestive strategies in three species of abyssal holothurians. Echinoderm Research. Balkema, Rotterdam, pp 111–119
Neto RR, Wolff GA, Billett DSM et al (2006) The influence of changing food supply on the lipid biochemistry of deep-sea holothurians. Deep-Sea Research I 53:516–527. https://doi.org/10.1016/j.dsr.2005.12.001
Nomaki H, Ogawa NO, Ohkouchi N et al (2008) Benthic foraminifera as trophic links between phytodetritus and benthic metazoans: carbon and nitrogen isotopic evidence. Mar Ecol Prog Ser 357:153–164. https://doi.org/10.3354/meps07309
Ogawa A, Jimi N, Hiruta SF et al (2022) Taxonomy and distribution of deep benthos collected in and around the Southern Ocean during the 30th Anniversary expeditions of R/V Hakuho Maru: Annelida, Mollusca, Ostracoda, Decapoda, and Echinodermata. Polar Sci 32. https://doi.org/10.1016/j.polar.2022.100846
Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O’Hara R B, Simpson GL, Solymos P, Stevens HH, Szoecs E, Wagner H (2017) Vegan: community ecology package. (R package version 2.4-3). https://cran.r-project.org/package=vegan
Pagès A, Grice K, Ertefai T et al (2014) Organic geochemical studies of modern microbial mats from Shark Bay: part I: influence of depth and salinity on lipid biomarkers and their isotopic signatures. Geobiology 12:469–487. https://doi.org/10.1111/gbi.12094
Paine RT (1966) Food web complexity and species diversity. Am Nat 100:65–75
Paine RT (1971) A short-term experimental investigation of resource partitioning in a New Zealand rocky intertidal habitat. Ecology 52:1096–1106
Parrish CC, Thompson RJ, Deibel D (2005) Lipid classes and fatty acids in plankton and settling matter during the spring bloom in a cold ocean coastal environment. Mar Ecol Prog Ser 286:57–68
Paul AZ, Thorndike EM, Sullivan LG et al (1978) Observations of the deep-sea floor from 202 days of time-lapse photography. Nature 272:812–814
Paul SALL, Gaye B, Haeckel M et al (2018) Biogeochemical regeneration of a nodule mining disturbance site: trace metals, DOC and amino acids in deep-sea sediments and pore waters. Front Mar Sci 5:1–17. https://doi.org/10.3389/fmars.2018.00117
Pawson DL, Foell EJ (1986) Peniagone leander new species, an abyssal benthopelagic sea cucumber (Echinodermata: Holothuroidea) from the eastern central Pacific Ocean. Bull Mar Sci 38:293–299
Penry DL, Jumars PA (1987) Modeling animal guts as chemical reactors. Am Nat 129:69–96
Phillips NW (1984) Role of different microbes and substrates as potential suppliers of specific, essential nutrients to marine detritivores. Bull Mar Sci 35:283–298
Pierrat J, Bédier A, Eeckhaut I et al (2022) Sophistication in a seemingly simple creature: a review of wild holothurian nutrition in marine ecosystems. Biol Rev 97:273–298. https://doi.org/10.1111/brv.12799
Purinton BL, DeMaster DJ, Thomas CJ, Smith CR (2008) 14C as a tracer of labile organic matter in Antarctic benthic food webs. Deep-Sea Res II 55:2438–2450. https://doi.org/10.1016/j.dsr2.2008.06.004
Qi H, Coplen TB, Mroczkowski SJ et al (2016) A new organic reference material, l -glutamic acid, USGS41a, for δ13C and δ15N measurements − a replacement for USGS41. Rapid Commun Mass Spectrom 30:859–866
Qui H, Coplen TB, Geilmann H et al (2004) Two new organic reference materials for δ13C and δ15N measurements and a new value for the δ13C of NBS 22 oil. Rapid Commun Mass Spectrom 17:2483–2487
R-Core Team (2022) R: a language and environment for statistical computing. R Foundation for Statistical Computing. https://www.r-project.org/
Riebesell U, Schulz KG, Bellerby RGJ et al (2007) Enhanced biological carbon consumption in a high CO2 ocean. Nature 450:545–548. https://doi.org/10.1038/nature06267
Roberts D, Moore HM (1997) Tentacular diversity in deep-sea deposit-feeding holothurians: implications for biodiversity in the deep sea. Biodivers Conserv 6:1487–1505
Roberts D, Gebruk A, Levin V, Manship BAD (2000) Feeding and digestive strategies in deposit-feeding holothurians. Oceanogr Mar Biol Annu Rev 38:257–310
Romero-Romero S, Miller EC, Black JA et al (2021) Abyssal deposit feeders are secondary consumers of detritus and rely on nutrition derived from microbial communities in their guts. Sci Rep 11. https://doi.org/10.1038/s41598-021-91927-4
Romesburg HC (1984) Cluster analysis for reseasrchers. Lifetime Learning Publications
Roy V (2020) Convergence diagnostics for Markov Chain Monte Carlo. Annu Rev Stat Appl 7:387–412. https://doi.org/10.1146/annurev-statistics-031219
Ruhl HA (2007) Abundance and size distribution dynamics of abyssal epibenthic megafauna in the northeast Pacific. Ecology 88:1250–1262. https://doi.org/10.1890/06-0890
Sampath H, Ntambi JM (2004) Polyunsaturated fatty acid regulation of gene expression. Nutr Rev 62:333–339. https://doi.org/10.1301/nr.2004.sept.333-339
Sargent JR, Falk-Petersen S (1988) The lipid biochemistry of Calanoid copepods. Hydrobiology 167(168):101–114
Sargent JR (1995) Origins and functions of n-3 polyunsaturated fatty acids in marine organisms. In: Proceedings of the 6th International Colloquium: Phospholipids: characterization, metabolism, and novel biological applications. pp 248–259
Schneider K, Migge S, Norton RA et al (2004) Trophic niche differentiation in soil microarthropods (Oribatida, Acari): evidence from stable isotope ratios (15N/14N). Soil Biol Biochem 36:1769–1774. https://doi.org/10.1016/j.soilbio.2004.04.033
Schoener TW (1974) Resource partitioning in ecological communities. Science 1979(185):27–39
Sharp Z (2017) Principles of stable isotope geochemistry, 2nd edn. University of New Mexico, Albuquerque
Shiell GR, Knott B (2010) Aggregations and temporal changes in the activity and bioturbation contribution of the sea cucumber Holothuria whitmaei (Echinodermata: Holothuroidea). Mar Ecol Prog Ser 415:127–139. https://doi.org/10.3354/meps08685
Sigwart JD, Brandt A, Di Franco D, et al (2023) Heterogeneity on the abyssal plains: a case study in the Bering Sea. Front Mar Sci 9. https://doi.org/10.3389/fmars.2022.1037482
Simon-Lledó E, Amon DJ, Bribiesca‐Contreras G et al (2023a) Carbonate compensation depth drives abyssal biogeography in the northeast Pacific. Nat Ecol Evol. https://doi.org/10.1038/s41559-023-02122-9
Simon-Lledó E, Amon DJ, Bribiesca‐Contreras G et al (2023b) Abyssal pacific seafloor megafauna atlas. 10.5281/ZENODO.8172728
Smith KL, Kaufmann RS, Wakefield WW (1993) Mobile megafaunal activity monitored with a time-lapse camera in the abyssal North Pacific. Deep-Sea Res I 40:2307–2324. https://doi.org/10.1016/0967-0637(93)90106-D
Smith A, Matthiopoulos J, Priede IG (1997) Areal coverage of the ocean floor by the deep-sea elasipodid holothurian Oneirophanta mutabilis: estimates using systematic, random and directional search strategy simulations. Deep-Sea Res I 44:477–486
Smith CR, De Léo FC, Bernardino AF et al (2008) Abyssal food limitation, ecosystem structure and climate change. Trends Ecol Evol 23:518–528. https://doi.org/10.1016/j.tree.2008.05.002
Sørensen T (1948) A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analysis of the vegetation on Danish commons. Det Kongelige Danske Videnskabernes Selskab, Copenhaguen
Spector AA, Yorek MA (1985) Membrane lipid composition and cellular function. J Lipid Res 26:1015–1035
Stock BC, Jackson AL, Ward EJ et al (2018) Analyzing mixing systems using a new generation of Bayesian tracer mixing models. PeerJ 2018. https://doi.org/10.7717/peerj.5096
Stock B, Semmens B, Ward E, Parnell A, Jackson A, Phillips D (2020) MixSIAR: Bayesian Mixing Models in R. (R package version 3.1.12). https://github.com/brianstock/MixSIAR
Stratmann T, Mevenkamp L, Sweetman AK et al (2018a) Has phytodetritus processing by an abyssal soft-sediment community recovered 26 years after an experimental disturbance? Front Mar Sci 5:1–13. https://doi.org/10.3389/fmars.2018.00059
Stratmann T, Voorsmit I, Gebruk AV et al (2018b) Recovery of Holothuroidea population density, community composition and respiration activity after a deep-sea disturbance experiment. Limnol Oceanogr 63:2140–2153. https://doi.org/10.1002/lno.10929
Stratmann T, Simon-Lledó E, Morganti TM, et al (2022) Habitat types and megabenthos composition from three sponge-dominated high-Arctic seamounts. Sci Rep 12:. https://doi.org/10.1038/s41598-022-25240-z
Stubbs CD, Smith AD (1990) Essential fatty acids in membrane: physical properties and function. Biochem Soc Trans 18:779–781
Svensson PA, Wong BBM (2011) Carotenoid-based signals in behavioural ecology: a review. Behaviour 148:131–189. https://doi.org/10.1163/000579510X548673
Sweetman AK, Thurber AR, Smith CR et al (2017) Major impacts of climate change on deep-sea benthic ecosystems. Elementa - Science of the Anthropocene 5. https://doi.org/10.1525/elementa.203
Tsushima M (2007) Carotenoids in sea urchins. In: Miller Lawrence J (ed) Edible Sea Urchins: Biology and Ecology. Elsevier Science B.V, Amsterdam, pp 159–166
Uhle ME, Macko SA, Spero HJ et al (1997) Sources of carbon and nitrogen in modern planktonic foraminifera: the role of algal symbionts as determined by bulk and compound specific stable isotopic analyses. Org Geochem 27:103–113
Uthicke S (1999) Sediment bioturbation and impact of feeding activity of Holothuria (Halodeima) atra and Stichopus chloronotus, two sediment feeding holothurians, at Lizard Island, great barrier reef. Bull Mar Sci 64:129–141
van Deenen LLM (1966) Phospholipids and biomembranes. Prog Chem Fats Other Lipids 8:1–127. https://doi.org/10.1016/0079-6832(66)90003-6
Veuger B, Middelburg JJ, Boschker HTS, Houtekamer M (2005) Analysis of 15N incorporation into D-alanine: a new method for tracing nitrogen uptake by bacteria. Limnol Oceanogr Methods 3:230–240. https://doi.org/10.4319/lom.2005.3.230
Volkman JK, Jeffrey SW, Nichols PD et al (1989) Fatty acid and lipid composition of 10 species of microalgae used in mariculture. J Exp Mar Biol Ecol 128:219–240
Vonnahme TR, Molari M, Janssen F et al (2020) Effects of a deep-sea mining experiment on seafloor microbial communities and functions after 26 years. Sci Adv 6:eaaz5922. https://doi.org/10.1126/sciadv.aaz5922
Wang J, Li J, Dasgupta S et al (2014) Alterations in membrane phospholipid fatty acids of gram-positive piezotolerant bacterium sporosarcina sp. DSK25 in response to growth pressure. Lipids 49:347–356. https://doi.org/10.1007/s11745-014-3878-7
Wiedicke MH, Weber ME (1996) Small-scale variability of seafloor features in the northern Peru Basin: results from acoustic survey methods. Marine Geophysical Res 18:507–526. https://doi.org/10.1007/BF00310067
Wigham BD, Hudson IR, Billett DSM, Wolff GA (2003a) Is long-term change in the abyssal Northeast Atlantic driven by qualitative changes in export flux? Evidence from selective feeding in deep-sea holothurians. Prog Oceanogr 59:409–441. https://doi.org/10.1016/j.pocean.2003.11.003
Wigham BD, Tyler PA, Billett DSM (2003b) Reproductive biology of the abyssal holothurian Amperima rosea: an opportunistic response to variable flux of surface derived organic matter? J Mar Biol Assoc U K 83:175–188. https://doi.org/10.1017/S0025315403006957h
Wigham BD (2002) The “Amperima Event”: analysis of community change in the abyssal Northeast Atlantic Ocean. PhD Thesis, University of Southampton
Winemiller KO, Pianka ER (1990) Organization in natural assemblages of desert lizards and tropical fishes. Ecol Monogr 60:27–55
Witbaard R, Duineveld GCA, Kok A et al (2001) The response of Oneirophanta mutabilis (Holothuroidea) to the seasonal deposition of phytopigments at the Porcupine Abyssal Plain in the Northeast Atlantic. Prog Oceanogr 50:423–441
Wohlers J, Engel A, Zöllner E et al (2009) Changes in biogenic carbon flow in response to sea surface warming. Proc Natl Acad Sci 106:7067–7072. https://doi.org/10.1073/pnas.0812743106
Yano Y, Nakayama A, Yoshida K (1997) Distribution of polyunsaturated fatty acids in bacteria present in intestines of deep-sea fish and shallow-sea poikilothermic animals. Appl Environ Microbiol 63:2572–2577
Yool A, Martin AP, Anderson TR et al (2017) Big in the benthos: future change of seafloor community biomass in a global, body size-resolved model. Glob Chang Biol 23:3554–3566. https://doi.org/10.1111/gcb.13680
Zhao JX, Liu QQ, Zhou YX et al (2015) Alkalimarinus sediminis gen. nov., sp. nov., isolated from marine sediment. Int J Syst Evol Microbiol 65:3511–3516. https://doi.org/10.1099/ijsem.0.000446
Acknowledgements
The authors thank chief scientist Prof. Antje Boetius, Dr. Felix Janssen, the captain and crew of RV Sonne, and the ROV Kiel 6000 team from Geomar (Kiel) for their excellent support during research cruise SO242-2. The authors thank furthermore Dr. Andrey Gebruk for species identification of holothurians. Pieter van Rijswijk, Jana Stratmann, and Jonas Sonntag are thanked for technical assistance during sample processing. We thank three anonymous reviewers and the editor for valuable feedback that improved the content of this paper.
Funding
The research leading to these results has received funding from the European Union Seventh Framework Program (FP7/2007–2013) under the MIDAS project, grant agreement nr 603418, and by the JPI Oceans—Ecological Aspects of Deep Sea Mining project under NWO-ALW grant 856.14.002 and BMBF grant 03F0707A-G. TS was further supported by the Dutch Research Council NWO (NWO-Rubicon grant no. 019.182EN.012, NWO-Talent program Veni grant no. VI.Veni.212.211).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Ethical approval
All applicable international, national, and/or institutional guidelines for animal testing, animal care, and use of animals were followed by the authors.
Sampling and field studies
All necessary permits for sampling and observational field studies have been obtained by the authors from the competent authorities and are mentioned in the acknowledgements, if applicable. The study is compliant with CBD and Nagoya protocols.
Data availability
The datasets generated during and/or analyzed during the current study are available in the Zenodo repository, https://doi.org/10.5281/zenodo.10188555.
Author contribution
TS and DvO conceived the study; TS, DvO, and AKS performed fieldwork; TS and PvB performed lab analysis; TS drafted the manuscript; and TS, DvO, PvB, and AKS contributed to revising the manuscript to its final version which was approved by all.
Additional information
Communicated by S. Kaiser
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is a contribution to the Topical Collection Biodiversity in Abyssal Polymetallic Nodule Areas
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Stratmann, T., van Breugel, P., Sweetman, A.K. et al. Deconvolving feeding niches and strategies of abyssal holothurians from their stable isotope, amino acid, and fatty acid composition. Mar. Biodivers. 53, 80 (2023). https://doi.org/10.1007/s12526-023-01389-2
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12526-023-01389-2