Abstract
Methylation and demethylation represent major transformation pathways regulating the net production of methylmercury (MMHg). Very few studies have documented Hg reactivity and transformation in extreme high-altitude lake ecosystems. Mercury (Hg) species concentrations (IHg, MMHg, Hg°, and DMHg) and in situ Hg methylation (M) and MMHg demethylation (D) potentials were determined in water, sediment, floating organic aggregates, and periphyton compartments of a shallow productive Lake of the Bolivian Altiplano (Uru Uru Lake, 3686 m). Samples were collected during late dry season (October 2010) and late wet season (May 2011) at a north (NS) and a south (SS) site of the lake, respectively. Mercury species concentrations exhibited significant diurnal variability as influenced by the strong diurnal biogeochemical gradients. Particularly high methylated mercury concentrations (0.2 to 4.5 ng L−1 for MMHgT) were determined in the water column evidencing important Hg methylation in this ecosystem. Methylation and D potentials range were, respectively, <0.1–16.5 and <0.2–68.3 % day−1 and were highly variable among compartments of the lake, but always higher during the dry season. Net Hg M indicates that the influence of urban and mining effluent (NS) promotes MMHg production in both water (up to 0.45 ng MMHg L−1 day−1) and sediment compartments (2.0 to 19.7 ng MMHg g−1 day−1). While the sediment compartment appears to represent a major source of MMHg in this shallow ecosystem, floating organic aggregates (dry season, SS) and Totora’s periphyton (wet season, NS) were found to act as a significant source (5.8 ng MMHg g−1 day−1) and a sink (−2.1 ng MMHg g−1 day−1) of MMHg, respectively. This work demonstrates that high-altitude productive lake ecosystems can promote MMHg formation in various compartments supporting recent observations of high Hg contents in fish and water birds.
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
Methylmercury (MMHg) is considered as a potent neurotoxin and represents a significant health concern (Allen et al. 2002). Human MMHg exposure is mainly controlled by the consumption of fish products (Fitzgerald and Clarkson 1991; UNEP 2013). MMHg can be produced in different compartments of the aquatic ecosystem as influenced by biogeochemical conditions (Fitzgerald and Lamborg 2004; Hintelmann 2010). In aquatic ecosystems, Hg methylation may take place in the anoxic zone (Eckley and Hintelmann 2006) or oxic zone (Bouchet et al. 2013; Monperrus et al. 2007; Ribeiro Guevara et al. 2008), in the first few centimeters of sediments (Bouchet et al. 2013; Hollweg et al. 2009) and in the periphyton mainly associated with the roots of aquatic plants (Gentès et al. 2013; Guimarães et al. 2000). The mechanisms of mercury methylation (M) mainly involve microbial processes linked to the activities of various communities such as sulfate- and/or iron-reducing bacteria (Barkay and Wagner‐Döbler 2005; Compeau and Bartha 1984) and, to a lesser extent, abiotic processes (Craig and Morton 1978; Weber 1993). Overall, net production rates of MMHg, and its bioaccumulation in the food chain of aquatic systems, is drastically regulated by such transformation processes (Hintelmann 2010).
Mediated by biotic and abiotic processes, MMHg may be methylated and form dimethylmercury (DMHg) (Baldi et al. 1995), and/or broken down or demethylated (D), giving rise to inorganic Hg and elemental mercury (Hg°). In sediments, the methylation process involves sulfate- and nitrate-reducing bacteria as well as methanogenic bacteria, along oxidative or reductive pathways (Oremland et al. 1991; Schaefer et al. 2004; Spangler et al. 1973). In the water column, most of MMHg demethylation likely originates from photodegradation reactions (Black et al. 2012; Hammerschmidt and Fitzgerald 2006; Sellers et al. 1996).
Because of its importance for human health, Hg cycling has been studied in different aquatic systems (oceans, lakes, lagoons, rivers, and wetlands). Hg reactivity and transformation in lake and wetland ecosystems is well documented (Hintelmann 2010), but few studies have investigated Hg reactivity in extreme high-altitude ecosystems (Marusczak et al. 2011; Qianggong et al. 2014; Ribeiro Guevara et al. 2008). Aquatic ecosystems located in the South American Altiplano region at 3800 m exhibit extreme thermal and solar irradiance diurnal variability including intense UV radiations (Blumthaler et al. 1997; Zaratti et al. 2003), contrasted seasonal hydrological cycles, as well as intense primary production (Aguirre et al. 2014). Lake Uru Uru (3686 m a.s.l.) is part of the lake system occupying the central Bolivian Altiplano region. This lake ecosystem acts as a sink for several mining and urban waste effluents (Garcia 2006; Tapia et al. 2012), while it hosts numerous endemic avian and fish species and has social and economic importance for the region’s indigenous population, who live from hunting and fishing (Aguirre et al. 2014; Garcia 2006). Elevated Hg levels were documented in different species of water birds and fish from Lake Uru Uru (Aguirre et al. 2014; Molina et al. 2012)
This work aims at documenting for the first time Hg biogeochemistry and Hg methylation capacity in the case of high-altitude tropical productive lakes, using Lake Uru Uru as a reference study site. In this lake, a contaminated northern (NS) and a less impacted southern (SS) site were carefully investigated on a diurnal and seasonal basis with the measurement of different Hg compounds (IHg, MMHg, Hg°, and DMHg) and the complementary determination of in situ Hg methylation (M) and MMHg demethylation (D) potentials in water, sediment, floating organic aggregates, and periphyton compartments collected from Totora’s (Schoenoplectus californicus) aquatic plants.
Materials and methods
Study area
Lake Uru Uru is a shallow aquatic system (1.5 m av. depth) located at 3686 m above sea level in the central part of the Bolivian Altiplano region, in South America (Fig. 1). Lake Uru Uru is located downstream of Lake Titicaca and upstream of Lake Poopó and is part of the closed, evaporative endorheic Titicaca-Desaguadero-Poopo-salar (TDPS) basin. During the wet season, Lake Uru Uru displays a surface area of 350 km2, reduced to 120 km2 during the dry season. Further details on the study area are provided in the Supplementary Material (SM) section.
Samples collection and processing
Samples of sediment, surface waters, and organic substrates were collected from Lake Uru Uru at two different sites (Fig. 1). The first site (NS) located in the northern part of the lake represents a contaminated site, under the influence of both mining and urban effluents originating from the mining city of Oruro (Fig. 1). The second site (SS) is located in the southern part of the lake and is supposed to represent a less polluted area, although lateral inputs of mining effluent from Rio Huanuni may be considered. All samples were taken at the end of the dry season (October 2010) and at the end of the wet season (May 2011), respectively, for investigating seasonal differences. Diurnal cycles (24 h) were also investigated in the water column at the two stations at a 4-h resolution step at the NS site (only for wet season) and at a 2-h resolution step at the SS site (both seasons). Because both NS and SS sites are very shallow (<1 m) and present a well-mixed water column, water sample was directly hand-collected from a rubber boat at the subsurface (ca. 10–30 cm depth, depending on the seasonal water level). Each water sample was divided into three aliquots, two of them subsequently acidified: one was filtered (“dissolved fraction”) using a vacuum filtration pump and 0.45-μm porosity PVDF filters (Millipore, Bedford, MA, USA), while the second was kept unfiltered (total content). A last aliquot was kept intact and directly processed to purge and trap the gaseous Hg compounds (i.e., DGM, DMHg). Further details for surface sediments (0–1 cm) and bio-organic substrates (periphyton, aggregates) sampling are given in the SM section. For comparison with other lacustrine environments of the TDPS hydrosystem, sediment samples were also taken from Lake Titicaca during the dry season and from Lake Poopó during the wet season. Further details on sample processing and ancillary parameters determination are included in the SM section.
Mercury transformations assays
Mercury species transformation potentials were determined through in situ incubations performed using isotopically enriched mercury species (199HgCl2 and CH3 201HgCl) for water, sediment, periphyton, and floating organic aggregates, according to the incubation protocol, analyses, and calculations of methylation (M), demethylation (D), and reduction (R) potentials described elsewhere (Monperrus et al. 2007; Rodriguez-Gonzalez et al. 2013). This methodology allows the simultaneous and quantitative determination of newly formed and remaining Hg species derived from each isotope, and the determination of specific formation/degradation yields (Monperrus et al. 2007; Rodriguez-Gonzalez et al. 2013). Further details on the incubation protocols and the evaluation of the net mercury methylation obtained from the incubation experiments and diurnal cycles are described in the SM section.
Samples analysis methodologies
For water samples, the concentrations of total and dissolved Hg species, such as MMHg, IHg, Hg°, and DMHg were determined. For solid samples, concentration of MMHg and IHg was determined. Hg species analysis in water, sediment, and biological substrates was performed by capillary gas chromatography connected to an inductively coupled plasma mass spectrometer (GC-ICPMS, Trace). Analytical set-up and methodology for the GC-ICPMS for Hg speciation analysis are described in detail elsewhere (Monperrus et al. 2008; Monperrus et al. 2005). The analysis of the gaseous Hg species (i.e., Hg° and DMHg) was carried out by cryogenic trapping gas chromatography connected to an inductively coupled plasma mass spectrometer (CT-GC-ICPMS) according to previous works (Bouchet et al. 2013; Bouchet et al. 2011). Other analytical methods used for ancillary parameters are described in SM section.
Bacterial community characterization
Water samples (triplicates) were concentrated (250 mL for SS and 60 mL for NS) by filtration on sterile cellulose acetate filters (Millipore, 0.22 μm). After filtration, the filters were immediately frozen in liquid nitrogen. Samples from sediments, floating aggregates, or Totora’s biofilms were directly sampled in cryovials and frozen in liquid nitrogen. DNA was extracted with the Ultra Clean Soil DNA Isolation Kit using the alternative lysis method (MoBio Laboratories Inc., USA). All extracted genomic DNA samples were stored at −20 °C until further processing. T-RFLP was performed as previously used by Gentès et al. (2013). T-RFLP profiles were compared by principal component analysis (PCA) using MVSP v3.13d software (Rockware Inc., UK).
Statistics
For dataset comparison, statistical parametric test (Student t test) for normal data distribution and non-parametric test (Kruskal-Wallis test) for non-normal data distribution were considered, using SigmaStat (version 3.0.) or R software (R.2.14.2).
Results and discussion
Major biogeochemical characteristics
High-resolution diurnal profiles of selected parameters are displayed in Fig. 2 (data summary in Table A, SM). At the SS site, relative different trends can be observed during the diurnal cycles and between the dry and wet seasons. Mean diurnal temperature and oxygen concentrations were higher during the dry season compared to the wet season but not statistically different (16.3 and 13.9 °C, 6.5 and 4.6 mg L−1, respectively), while pH values were relatively close (7.9 and 8.1). However, their diurnal gradient amplitude between sunrise and sunset (Fig. 2) was much higher during the dry season (11.9–21.5 and 12.4–16.0 °C, 7.0–8.2 and 7.8–8.4, 4.7–9.4 and 3.7–5.8 mg L−1, respectively). This reflects the change in solar radiations intensity among seasons. Solar radiation levels measured close to the study site in Patacamaya (Oruro Dpt, Bolivia) from September to November 2010 (dry season) and from April to June 2011 (wet season) were, respectively, 313.8 ± 55.4 and 243.5 ± 36.2 W m−2. Conductivity at the SS varied significantly (s test, p < 0.05) between dry (6.2 mS cm−1) and wet (3.1 mS cm−1) seasons due to the intense evaporation process, while at the NS diurnal variations during the wet season, exhibited wider ranges for temperature, pH, and oxygen than at SS (9.9–16.2 °C, 9.2–10.1 and 3.3–12.5 mg L−1, respectively). Conductivity was higher at the NS site (8.8 mS cm−1) compared to SS site (3.1 mS cm−1) during the wet season. Since bacterial activity is one of the main driver responsible for mercury methylation and demethylation, strong daily variations of temperature, pH, and oxygen may strongly affect diurnal Hg cycle at short timescale. While not measured over 24 h, dissolved organic carbon (DOC), particulate organic carbon (POC), and suspended particulate matter (SPM) may influence significantly mercury speciation. For instance, DOC concentrations reach high values for both seasons at SS and NS station (14.4–16.4 and 19.8–24.5 mg L−1, respectively), while SPM remains rather low (<10 mg L−1) but enriched in organic carbon (10 % of POC).
Sulfate-reducing bacteria communities
The T-RFLP based on dsr genes polymorphism, applied to detect sulfate-reducing bacteria, indicated that they were present in all the samples collected at NS and SS in Lake Uru Uru. During the dry season, the composition of sulfate-reducing bacterial communities in sediments and bio-organic aggregates was homogeneous (Fig. 4), but very heterogeneous in water samples. Similar results were obtained in the water samples during the wet season (data not shown). This heterogeneity is probably due to the occurrence in different proportion of particulate material and also to the lower abundances in dsrAB genes. The correspondence analysis shows a strong effect of the reducing conditions (sediments vs water) on the samples’ dsrAB diversity as distributed along the axis 1 (32 % of the variance). It also highlights the influence of available organic carbon (water vs bio-organic aggregates) through the axis 2, explaining 30 % of the sulfate-reducing bacteria community composition.
Hg species distribution and transformation in the water column
Mercury species seasonal and diurnal variations
Hg species concentration average and range obtained over the diurnal high-resolution sampling at the two sites are reported in Table A (SM). At the SS, higher concentrations of total mercury (HgT) and total methylmercury (MMHgT) were observed during the dry season (3.1 ± 1.7 and 0.7 ± 0.2 ng L−1, respectively) than for the wet season (1.4 ± 0.3 and 0.3 ± 0.1 ng L−1) (p < 0.05). This is consistent with the difference observed for conductivity and other metallic cations (data not shown), likely reflecting a concentration effect resulting from the enhanced evaporation at the end of the dry season. At the NS, the concentrations of total mercury (HgT) (4.6–7.0 ng L−1) and total methylmercury (MMHgT) (2.0–4.5 ng L−1) were significantly higher (p < 0.05) than at the SS for the two seasons. Interestingly, the relative proportion of dissolved MMHg (MMHgd) was found extremely high, representing between 57 ± 5 and 23 ± 9 % at SS during the dry and wet season, respectively, with a maximum value of 64 ± 8 % at NS during the wet season. This high-dissolved MMHg partition is probably the highest ever reported in high-altitude lake ecosystems, compared to the southern oligotrophic Moreno Lake (Patagonia, atl 768 m, 0.4 to 2.4 %, Arcagni et al. 2013) or in the hypereutrophic contaminated Dianchi Lake (Tibet, 1881 m, 0.2–1.5 %, Wang et al. 2012). Concentrations of total dissolved mercury (HgTd) at the SS site were 0.6 ± 0.1 ng L−1 in the dry season and 1.3 ± 0.8 ng L−1 during the wet season, although higher values were measured at the NS site 3.8 ± 0.8 ng L−1 for the same season. Overall, HgTd values in Lake Uru Uru are similar to measurements in Moreno Lake (1–5 ng L−1, Arcagni et al. 2013) or in waters from Andean glaciers (2.2 to 2.6 ng L−1, Maurice-Bourgoin et al. 2000), with the relative proportion of MMHg being significantly higher.
DGM concentrations were mainly composed by 97.0 to 99.9 % of Hg° with only 0–3 % DMHg. DGM accounted for 0 to 15 % of HgTd. DGM concentrations (as Hg°) at the SS averaged 16.8 ± 11.7 pg L−1 during the dry season and 49.7 ± 43.8 pg L−1 during the wet season, whereas the NS exhibits concentrations averaging 39.8 ± 14.3 pg L−1 in the wet season. The Hg° concentrations in Lake Uru Uru (3.3–124.7 pg L−1) are in the same range as those documented for Alaskan lakes (20.0–46.1 pg L−1) (Tseng et al. 2004) or Canadian lakes (32.1–58.2 pg L−1) (Amyot et al. 1997). Levels of DMHg (<LD = 0.04–1.64) are rather low if compared with published marine studies in the Mediterranean Sea (4–84 pg L−1) (Monperrus et al. 2007) or in the Artic Ocean (7.9 ± 4.4 pg L−1) (Kirk et al. 2008).
The diurnal concentrations of MMHgT during the wet season decreased from sunrise (~6 h) to sunset (~18 h) and increased overnight until sunrise (Figs. 2c and 3b). The concentration of Hg° in SS and NS (Fig. 2h) increased from 06 h, with a peak between 12 and 15 h to further decrease until sunset. The same behavior was also observed for Hg° and DMHg in NS during the wet season (Fig. 3d).
Between both seasons, total MMHg and IHg exhibit different trends at SS that might be related to the occurrence of higher particle contents (and aggregates) during the dry season in the water column. MMHg showed a decreasing trend with increasing oxygen at the SS site during the dry season and at the NS for the wet season (r 2 = 0.8, p < 0.002 and r 2 = 0.8, p < 0.05, respectively) but no trend for SS during the wet season (p > 0.05) (Figure A.a,b in SM). This result suggests that MMHg net accumulation in the water column is likely enhanced when lower oxygen concentrations occur, especially at night when oxygen consumption processes are dominant. Besides MMHg has been reported to be produced within the anoxic layer of lake waters (Eckley and Hintelmann 2006), no anoxia has been observed in this study. This may suggests that more reductive conditions in the water column likely associated to organic matter mineralization can promote Hg methylation as previously observed (Bouchet et al. 2013; Monperrus et al. 2007). The occurrence of anaerobic bacteria communities in the water column located into anoxic micro-environments (e.g., particles) playing a role in Hg methylation, such as SRB, has been shown in this study and also previously established in other aquatic systems (Acha et al. 2012). During daytime, water in Lake Uru Uru exhibited oxygen supersaturation, demonstrating intense primary productivity when MMHg levels are decreasing. Such photosynthetic activity may inhibit Hg methylation triggered under more reductive conditions. Also, this may be due to increased activity of filamentous algae Oedogonium sp. and other algae that have been found to accumulate MMHg (Lanza et al. 2015). The explanation of such decline in MMHg concentrations may also be associated to stronger light-induced demethylation (Black et al. 2012; Lehnherr and St. Louis 2009). As shown in Fig. 2b–d, lower MMHg concentrations coincide with daylight maxima, which mean that solar radiation may influence decline of MMHg. However, the in situ incubations described later (“Biogeochemical transformation of mercury species in water” section) have shown that light-induced pathways might not be so significant in these waters, since high DOM contents can play an important inhibition effect for UV light-induced demethylation pathways (Black et al. 2012). The behavior of volatile Hg species also obeys diurnal changes (Figs. 2g, h and 3d); Hg° formation processes may be induced by solar radiation (Amyot et al. 1997). Low concentrations of Hg° can be attributed to high-DOC concentrations, which decrease the availability of UV-B radiation to reduce IHg (Amyot et al. 1997). We can also observe (Figs. 2c–h and 3b–d) that a small fraction of decreasing MMHg might be converted to DMHg (Monperrus et al. 2007). Overall, we have shown that MMHg and IHg in both dissolved and particulate (or total) phases can exhibit strong diurnal variations which are controlled by various biotic and abiotic processes difficult to be constrained for each season and site. Several pathways such as methylation, demethylation, or reduction of Hg species in water are able to contribute to these variations (see below “Biogeochemical transformation of mercury species in water” section), while the dynamic exchange with other compartments such as surface sediments and Totora’s substrates (see “Mercury methylation and demethylation in surface sediments” and “Methylation and Demethylation in Bio-organic substrates” sections) might involve other sources and sinks for the water column.
Biogeochemical transformation of mercury species in water
Methylation
M potentials obtained in unfiltered water samples from Lake Uru Uru ranged between <0.02 and 4.9 % day−1. Under light conditions, M potentials obtained from unfiltered water samples varied with seasonal changes at both sites (see Table 1, Fig. 5), with higher methylation during the dry season (p < 0.05, Kruskal-Wallis test). M potentials were 4.9 ± 0.6 and 0.6 ± 0.4 % day−1 at the NS and 1.0 ± 0.9 and 0.04 ± 0.02 % day−1, at the SS, during the dry and wet seasons, respectively. Dark condition incubations exhibited M potential between 0.7 ± 0.1 and 7.7 ± 1.7 % day−1, for the dry and wet seasons, respectively, at the NS site, although no differences were found at the SS site among seasons (0.9 ± 0.8 and <0.02 % day−1).
For filtered water, M potentials, obtained from light and dark incubations, were lower than M potential measures in unfiltered water (p < 0.05). While M potentials obtained at NS site under light and dark conditions were still significant, those obtained at SS site were below the detection limit (<LD = 0.02 % day−1) under light conditions and rather limited M potentials in dark condition (Table 1). This finding corroborates the observation made on the variations of MMHg concentrations during the 24-h cycles. This also confirms that Hg methylation is probably mediated by micro-organisms and organic matter in the absence of sunlight and may also benefit from higher temperatures in the dry season. SRB were detected in all matrices, but the structure of the community was highly variable and specific to the matrix incubated (water, sediments, floating organic aggregates) (Fig. 4).
Comparison to literature values (Table 3) shows that the maximum M potential obtained under light condition (NS, 4.9 % day−1) is significantly higher than the maximum values obtained in the Arcachon Bay (0.8 % day−1, Bouchet et al. 2013) or in estuarine and coastal waters (0.4 % day−1; Sharif et al. 2014). However, these significant M potential values remain in the range of M potential rates determined in the anoxic waters of Canadian lakes (0.6–14.8 % day−1, Eckley and Hintelmann 2006), in oxic waters from the Mediterranean (0.3–6.3 % day−1) (Monperrus et al. 2007) and in Moreno Lake, Argentina (23 ± 11 % day−1) (Ribeiro Guevara et al. 2008).
Demethylation
Significant demethylation potentials (D) were measured in surface unfiltered water of Lake Uru Uru (0.4 to 21 % day−1), with almost no significant difference between daylight and in dark conditions (Table 1, Fig. 6). However, D potentials varied seasonally and among sites, being higher in the dry season compared to the wet season (p < 0.05) and higher at the NS compared to SS for both season (p < 0.05). At NS, D potentials in dry season were significantly higher (21 % day−1) than for the wet season (3.7–6.0 % day−1). At SS, D potentials during the dry season were also much higher (4.0–6.7 for dark and light) than during the wet season (0.2–0.4 % day−1). In filtered water, D was either below the detection limit for SS or lower to the values obtained from unfiltered water (except for wet season/dark conditions in SS). These results suggest that demethylation remains a major pathway in waters of Lake Uru Uru, mostly associated to the presence of suspended particulate material and via biotic processes, while direct light-induced photochemical pathways appear to be of a lower importance. As previously observed in various coastal environments (Bouchet et al. 2013; Sharif et al. 2014), biotic-induced demethylation can be a significant pathway to reduce MMHg extent in the water column.
D potentials results for unfiltered water incubation are higher than those measured in the anoxic waters of lakes in Canada (0.12 % day−1) (Eckley and Hintelmann 2006), comparable with those measured in a tidal bay by (Bouchet et al. 2013) (6.2–11.9 % day−1) but lower compared to those recorded in coastal and marine waters (6.4–24.5 % day−1, Monperrus et al. (2007) and 6.6–55.3 % day−1, Sharif et al. (2014), respectively) (Table 3).
Reduction
The reduction potential (R) in Lake Uru Uru was found of limited intensity and could only be detected during the dry season (0.6–1.0 % day−1, Table 1). These low R potentials are consistent with the low Hg° concentrations measured in the lake (Table A). The high content of DOC found in the lake is large enough to potentially inhibit UV and visible light radiations that may induce mercury reduction reactions (Amyot et al. 1997). Further on, Hg° concentrations can also be limited by concomitant photo-oxidation processes catalyzed by organic radicals (Lalonde et al. 2001; Mason et al. 2001).
Net methylation assessment
During the dry season, the diurnal net methylation capacity (see SM for details) obtained from unfiltered water samples at NS was 0.20 ± 0.30 ng L−1 day−1 under light conditions, compared to 0.45 ± 0.48 ng L−1 day−1 in dark conditions. During the wet season, the net methylation capacity exhibits a loss of MMHg within the same range under light (−0.11 ± 0.08 ng L−1 day−1) and dark conditions (−0.06 ± 0.10 ng L−1 day−1), while this was rather limited when compared to the dry season. At the SS site, net MMHg production for both seasons was found insignificant for both dark and diurnal conditions (Table 1). The rather limited net MMHg production observed in the water column of the lake contrasts with the high MMHg concentrations determined in this compartment (Figs. 2 and 3; Table A). This suggests that MMHg present in the water column likely originates from another source. The comparison between the extent of the diurnal variation of MMHg concentrations in water with the net M potentials integrated for the same compartment during the same period of time (24 h) (details in SM, Table C) shows that the high accumulation of MMHg measured in water reflects mainly MMHg released from sediment or bio-organic substrates as previously suggested in other ecosystems (Table 3, Bouchet et al. 2013; Guimaraes et al. 1999; Guimarães et al. 2000; Point et al. 2007).
Mercury methylation and demethylation in surface sediments
MMHg concentrations in sediments from Lake Uru Uru were found to range from 0.9 ± 0.2 to 4.0 ± 1.3 ng g−1 and those of IHg from 200 ± 12 to 394 ± 35 ng g−1, with the highest values being observed at the NS site (Table B). Also, the percentages of organic carbon (~ 5.8 %) and sulfur (~1 %) were similar in magnitude at both sites. Concentrations of MMHg and IHg in sediments from Lakes Titicaca and Poopó were very low in comparison to those in Lake Uru Uru (Table B).
Methylation
Overall, diurnal M rates in Lake Uru Uru sediments ranged from 0.14 ± 0.05 to 1.1 ± 0.2 % day−1 (Table 2, Fig. 5). Higher M values were found at NS (1.0–1.1 % day−1) than for SS (0.14–0.25 % day−1) for both seasons (p < 0.05). M potentials remained significantly higher in dark conditions at both sites and for both seasons. Complementary data obtained from nearby Lake Titicaca and lake Poopó showed similar (p > 0.05) but low M potentials (give values here), in the same range as those measured at SS for the same season (Table 2). These data probably reflect a baseline value for Hg methylation in undisturbed sediment of the TDPS watershed. The diurnal M potential in the sediments of Lake Uru Uru are also comparable with other lacustrine or coastal sites previously investigated under similar experimental conditions (Table 3).
Demethylation
Demethylation potentials in Lake Uru Uru sediments during the dry season, under daylight conditions, were significantly different between NS and SS sites (p < 0.05), exhibiting 68.3 ± 0.2 and 15.6 ± 1.9 % day−1, respectively (Table 2, Fig. 6). Under dark conditions, the D potentials were similar (28 ± 3 and 28 ± 1 % day−1) at both sites. In the wet season, the D potentials were significantly lower for both NS and SS (respectively, 10.1 ± 3.2 and 9.2 ± 1.8 % day−1, p < 0.05). While under dark condition, the D potentials were 29 ± 4 % day−1 for the NS and 5.2 ± 0.7 % day−1 for SS.
In Lake Poopó, D values were similar under daylight and darkness conditions (26.0–29.1 % day−1, Table 2) (p > 0.05), while much higher D potentials were measured in Lake Titicaca (ca. 78 % day−1). In all sediment types from the different lakes of this Altiplano region, D always remains a significant process, as previously shown in sediments from other locations (Table 3). Degradation of MMHg in sediments of Lake Uru Uru cannot be clearly attributed to either light-induced or dark processes, but likely involving more specifically different bacteria communities and assemblages. For instance, a study carried out by Oremland et al. (1991) in anoxic sediments found that communities of metallogenic and sulfate-reducing bacteria are involved in MMHg demethylation processes. Bouchet et al. (2013) also found significant demethylation rates in a shallow coastal lagoon under similar experimental conditions (Table 3) which was clearly not enhanced under light exposition.
Net methylation assessment
The net M calculations (Table 2) indicate that the methylation capacity of sediments was much higher relative to the water compartment and leading to higher yield during the dry season. The comparison of the two sites shows that MMHg was mainly produced in the sediment at NS, for both seasons (3.4 ± 1.2 and 2.0 ± 0.5 ng g−1 day−1 for the dry and wet seasons, respectively). Although net methylation rates at SS were lower than those at NS, they remained slightly positive (0.5 ± 0.2 and 0.19 ± 0.15 ng g−1 day−1 for the dry and wet seasons, respectively). In contrast, the negative net M in Lakes Titicaca and Poopó suggest that the sediment may not be a significant source, but a sink of MMHg (−0.17 ± 0.03 and −0.02 ± 0.03 ng g−1 day−1, respectively).
Methylation and demethylation in bio-organic substrates
Organic floating aggregates presented higher concentrations of IHg (86.4 ± 13.5 ng g−1) than the periphyton associated with the Totora plant (33.5 ± 2.5 ng g−1) (Table B). Similar concentrations of MMHg were found in the Totora’s periphyton (16.1 ± 3.2 ng g−1) and in floating organic aggregates (13.5 ± 0.8 ng g−1).
The M potential of the floating organic aggregates incubated under sunlight conditions was 9.58 ± 0.05 and 16.51 ± 2.8 % day−1 under dark conditions (Table 2, Figs. 5 and 6). Diurnal and dark D rates were in a similar range, with 18.0 ± 2.4 and 15.1 ± 2.6 % day−1, respectively. This indicates that in floating organic aggregates, methylation takes place principally by means of dark biotic mechanisms. This process is probably linked to sulfate-reducing bacterial community identified in this matrix, which is also different from other SRB communities found in the waters and sediments of Lake Uru Uru (Fig. 4). The formation of anoxic niches in the organic aggregates may also promote Hg methylation mediated by anaerobic communities. In this sense, it should be taken into account that the particulate matter, and more specifically large and small organic aggregates, may be also components contributing to MMHg burden in the water column as observed during the dry season.
Hg methylation capacity of the periphyton associated with Totora plants was found negligible (<LD = 0.1 % day−1). However, significant D extents were measured (13.4 ± 1.3 % day−1), with no difference with the incubation made under darkness (Table 2, Figs. 5 and 6). Conversely, these results show a high MMHg demethylation capacity involving the participation of diverse aquatic micro-organisms, including bacteria communities. Periphyton associated with Totora’s plant tend to accumulate MMHg. Interestingly, Lanza et al. (2015) suggest that algae found in these periphyton, such as Oedogonium sp. can bioconcentrate metals and also MMHg in Lake Uru Uru showing that periphyton could be beneficial in reducing aqueous MMHg by both accumulation and degradation.
Net methylation assessment
The floating organic aggregates were characterized by a net methylation capacity of 5.8 ± 1.8 ng g−1 day−1, which is twice higher under dark conditions, while Totora’s periphyton showed a net demethylation capacity of 2.3 ± 0.7 ng g−1 day−1, with no change in dark conditions (Table 2). MMHg production in periphyton isolated from Totora plants seems very low in comparison to previous experiments with periphyton associated to macrophytes from the Bolivian Amazon (Table 3). Meanwhile, the diurnal methylation potential of floating organic aggregates (9.58 ± 0.05 % day−1) was found to be in the same range than the periphyton associated with macrophytes from tropical ecosystems and from other temperate lakes (Table 3).
Implications for MMHg contamination in Lake Uru Uru
Lake Uru Uru (and part of the TDPS watershed, Bolivian Altiplano) acts as a sink for several mining and urban waste effluents (Garcia 2006; Tapia et al. 2012). Mercury pollution may become an important threat for local population living from hunting and fishing of several endemic species. Potential exposure to elevated MMHg levels was assessed in various species of water birds and fish from Lake Uru Uru exhibiting Hg levels averaging around 2 and 1 μg g−1 in birds and fish muscle, respectively (Aguirre et al. 2014; Molina et al. 2012). Thus, the elucidation of the main processes controlling the production of MMHg in the lake is of primary importance and is summarized in Fig. 7. During the dry season, the highest Hg methylation potential was found in floating organic aggregates, followed by sediments (Fig. 7a). A lower methylation capacity in sediments was found during the wet season (Fig. 7b). The origin of the floating organic aggregates and their biological composition is not well understood. Their presence was only reported during the dry season and may result from the decomposition and flocculation of fresh organic matter originating from the autotrophic production of plankton, Totora’s periphyton exudates, and suspended particulate matter in combination with the higher conductivity reported during this season. The complementary contribution of organic matter originating from the discharge of urban effluents localized in the northern part of Lake Uru Uru has also to be considered. Hg methylation potentials measured were low in the water column compared to the sediments. This suggests that the increasing MMHg concentrations measured in the water during the 24-h cycle may also reflect the contribution of MMHg originating from other aquatic compartments, such as bio-organic substrates during the dry season, but with a constant resupply from the sediment compartment.
References
Acha D, Hintelmann H, Pabon CA, Iñiguez V, Roulet M, Guimaraes JRD, Luna R, Alanoca L, Sanchez S (2005) Sulfate-reducing bacteria in floating macrophyte rhizosphere from an Amazonian flood plain lake in Bolivia and their association with Hg methylation. Appl Environ Microbiol 71(11):7531–7535
Acha D, Pabon CA, Hintelmann H (2012) Mercury methylation and hydrogen sulfide production among unexpected strains isolated from periphyton of two macrophytes of the Amazon. FEMS Microbiol Ecol 80:637–645
Aguirre M, Lazzaro X, Point D, Pouilly M (2014) Línea base de conocimientos sobre los recursos hidrológicos en el sistema TDPS con enfoque en la cuenca del Lago Titicaca. IRD - UICN, Quito, Ecuador, p 320
Allen JW, Shanker G, Tan KH, Aschner M (2002) The consequences of methylmercury exposure on interactive functions between astrocytes and neurons. Neurotoxicology 23:755–759
Amyot MS, Mierle G, Lean D, McQueen DJ (1997) Effect of solar radiation on the formation of dissolved gaseous mercury in temperate lakes. Geochim Cosmochim Acta 61:975–987
Arcagni M, Campbell L, Arribére MA, Marvin-DiPasquale M, Rizzo A, Ribeiro GS (2013) Differential mercury transfer in the aquatic food web of a double basined lake associated with selenium and habitat. Sci Total Environ 454–455:170–180
Baldi F, Parati F, Filippelli M, Electric Power Research Institute PACAUS, Environment C, Atmospheric Environment Service C et al (1995) Dimethylmercury and dimethylmercury-sulfide of microbial origin in the biogeochemical cycle of Hg (English). In: Mercury as a global pollutant. International conference (English), vol 80. Springer, Dordrecht, pp 805–815
Barkay T, Wagner‐Döbler I (2005) Microbial transformations of mercury: potentials, challenges, and achievements in controlling mercury toxicity in the environment. Adv Appl Microbiol 57:1–52
Black FJ, Poulin BA, Flegal AR (2012) Factors controlling the abiotic photo-degradation of monomethylmercury in surface waters. Geochim Cosmochim Acta 84:492–507
Blumthaler M, Ambach W, Ellinger R (1997) Regular paper: increase in solar UV radiation with altitude. J Photochem Photobiol B Biol 39:130–134
Bouchet S, Tessier E, Monperrus M, Bridou R, Clavier J, Thouzeau G et al (2011) Measurements of gaseous mercury exchanges at the sediment-water, water-atmosphere and sediment-atmosphere interfaces of a tidal environment (Arcachon Bay, France). J Environ Monit: JEM 13:1351–1359
Bouchet S, Amouroux D, Rodriguez-Gonzalez P, Tessier E, Monperrus M, Thouzeau G et al (2013) MMHg production and export from intertidal sediments to the water column of a tidal lagoon (Arcachon Bay, France). Biogeochemistry 114:341–358
Coelho-Souza SA, Guimarães JRD, Mauro JBN (2006) Mercury methylation and bacterial activity associated to tropical phytoplankton. Sci Total Environ 364:188–199
Compeau G, Bartha R (1984) Methylation and demethylation of mercury under controlled redox, pH and salinity conditions. Appl Environ Microbiol 48:1203–1207
Correia RRS, Miranda MR, Guimaraes JRD (2012) Mercury methylation and the microbial consortium in periphyton of tropical macrophytes: effect of different inhibitors. Environ Res 112:86–91
Craig PJ, Morton SF (1978) Kinetics and mechanism of the reaction between methylcobalamin and mercuric chloride. J Organomet Chem 145:79–89
Eckley CS, Hintelmann H (2006) Determination of mercury methylation potentials in the water column of lakes across Canada. Sci Total Environ 368:111–125
Fitzgerald WF, Clarkson TW (1991) Mercury and monomethylmercury—present and future concerns. Environ Health Perspect 96:159–166
Fitzgerald WF, Lamborg CH (2004) Geochemistry of mercury in the environment treatise on geochemistry, vol 9. Elsevier, Oxford
Garcia ME (2006) Transport of arsenic and heavy metals to Lake Poopó–Bolivia Natural Leakage and Antropogenic Effects Department of Water Resource Engineering Lund Institute of Technology. Doctoral Thesis. Lund, Sweden
Gentès S, Monperrus M, Legeay A, Maury-Brachet R, Davail S, André J-M et al (2013) Incidence of invasive macrophytes on methylmercury budget in temperate lakes: central role of bacterial periphytic communities. Environ Pollut 172:116–123
Guimarães JRD, Malm O, Padovani C, Sanches M, Forsberg B, Pfeiffer WC (1994) A summary of data on net mercury methylation rates in sediment, water, soil and other samples from the Amazon region obtained through radiochemical methods. Proceedings of the international workshop on environmental mercury pollution and its health effects in Amazon River Basin, Rio de Janeiro, p 94-99
Guimarães JRD, Meili M, de Souza Brito EM (1998) Hg methylation in sediments and floating meadows of a tropical lake in the Pantanal floodplain, Brazil. Sci Total Environ 213:165–175
Guimaraes JRD, Fostier A-H, Forti MC, Melfi JA, Kehrig H, Mauro JBN et al (1999) Mercury in human environmental samples from two lakes in Amapa, Brazilian Amazon. Ambio 28:296–301
Guimarães JRD, Meili M, Hylander LD, EdCe S, Roulet M, Mauro JBN et al (2000) Mercury net methylation in five tropical flood plain regions of Brazil: high in the root zone of floating macrophyte mats but low in surface sediments and flooded soils. Sci Total Environ 261:99–107
Hammerschmidt CR, Fitzgerald WF (2006) Photodecomposition of methylmercury in an Arctic Alaskan Lake (English). Environ Sci Technol 40:1212–1216
Hintelmann H (2010) Organomercurials. Their formation and pathways in the environment. Met Ions Life Sci 7:365–401
Hollweg TA, Gilmour CC, Mason RP (2009) Methylmercury production in sediments of Chesapeake Bay and the mid-Atlantic continental margin. Mar Chem 114:86–101
Kirk JL, Louis VLS, Hintelmann H, Lehnherr I, Else B, Poissant L (2008) Methylated mercury species in marine waters of the Canadian high and sub arctic (English). Environ Sci Technol 42:8367–8373
Lalonde JD, Amyot M, Kraepiel AML, Morel FMM (2001) Photooxidation of Hg(0) in artificial and natural waters (English). Environ Sci Technol 35:1367–1372
Lanza WG, Acha D, Point D, Masbou J, Alanoca L, Amouroux D, et al (2015) Association of a specific algal group to methylmercury accumulation in periphyton of a tropical high-altitude Andean Lake. 2015; submitted
Lehnherr I, St. Louis VL (2009) Importance of ultraviolet radiation in the photodemethylation of methylmercury in freshwater ecosystems (English). Environ Sci Technol 43:5692–5698
Lemos RA, Guimarães JRD, Bianchini JI (1999) Mercury methylation in Eichhorniaazurea roots and sediments during a seasonal cycle in a Brazilian lake. Proceedings of the 5th International Conference on Hg as a Global Pollutant, Rio de Janeiro, Brazil, p 462
Marusczak N, Larose C, Dommergue A, Paquet S, Beaulne J-S, Maury-Brachet R et al (2011) Mercury and methylmercury concentrations in high altitude lakes and fish (Arctic charr) from the French Alps related to watershed characteristics. Sci Total Environ 409:1909–1915
Mason RP, Lawson NM, Sheu GR (2001) Mercury in the Atlantic Ocean: factors controlling air-sea exchange of mercury and its distribution in the upper waters. Deep-Sea Res II Top Stud Oceanogr 48:2829–2853
Maurice-Bourgoin L, Quiroga I, Chincheros J, Courau P (2000) Mercury distribution in waters and fishes of the upper Madeira rivers and mercury exposure in riparian Amazonian populations. Sci Total Environ 260:73–86
Mauro JBN, Guimarães JRD, Hintelmann H, Watras CJ, Haack EA, Coelho-Souza SA (2002) Mercury methylation in macrophytes, periphyton, and water-comparative studies with stable and radio-mercury additions. Anal Bioanal Chem 374:983–989
Molina CI, Ibañez C, Gibon FM (2012) Proceso de biomagnificación de metales pesados en un lago hiperhalino (Poopó, Oruro, Bolivia): Posible riesgo en la salud de consumidores. Ecología en Bolivia [online] 47:99–118
Monperrus M, Tessier E, Veschambre S, Amouroux D, Donard O (2005) Simultaneous speciation of mercury and butyltin compounds in natural waters and snow by propylation and species-specific isotope dilution mass spectrometry analysis. Anal Bioanal Chem 381:854–862
Monperrus M, Tessier E, Amouroux D, Leynaert A, Huonnic P, Donard OFX (2007) Mercury methylation, demethylation and reduction rates in coastal and marine surface waters of the Mediterranean Sea. Mar Chem 107:49–63
Monperrus M, Gonzalez PR, Amouroux D, Garcia Alonso JI, Donard OFX (2008) Evaluating the potential and limitations of double-spiking species-specific isotope dilution analysis for the accurate quantification of mercury species in different environmental matrices. Anal Bioanal Chem 390:655–666
Oremland RS, Culbertson CW, Winfrey MR (1991) Methylmercury decomposition in sediments and bacterial cultures: involvement of methanogens and sulfate reducers in oxidative demethylation (English). Appl Environ Microbiol (Print) 57:130–137
Point D, Monperrus M, Tessier E, Amouroux D, Chauvaud L, Thouzeau G et al (2007) Biological control of trace metal and organometal benthic fluxes in a eutrophic lagoon (Thau Lagoon, Mediterranean Sea, France). Estuar Coast Shelf Sci 72:457–471
Qianggong Z, Ke P, Shichang K, Aijia Z, Wen-Xiong W (2014) Mercury in wild fish from high-altitude aquatic ecosystems in the Tibetan Plateau. Environ Sci Technol 48:5220–5228
Ribeiro Guevara S, Queimaliños CP, Diéguez MC, Arribére M (2008) Methylmercury production in the water column of an ultraoligotrophic lake of Northern Patagonia, Argentina. Chemosphere 72:578–585
Rodriguez-Gonzalez P, Bouchet S, Monperrus M, Tessier E, Amouroux D (2013) In situ experiments for element species-specific environmental reactivity of tin and mercury compounds using isotopic tracers and multiple linear regression. Environ Sci Pollut Res Int 20:1269–1280
Schaefer JK, Jane Y, Reinfelder JR, Cardona T, Ellickson KM, Tel-Or S et al (2004) Role of the bacterial organomercury lyase (MerB) in controlling methylmercury accumulation in mercury-contaminated natural waters. Environ Sci Technol 38:4304–4311
Sellers P, Kelly CA, Rudd JWM, MacHutchon AR (1996) Photodegradation of methylmercury in lakes. Nature [London] 380:694–697
Sharif A, Monperrus M, Tessier E, Bouchet S, Pinaly H, Rodriguez-Gonzalez P et al (2014) Fate of mercury species in the coastal plume of the Adour River estuary (Bay of Biscay, SW France). Sci Total Environ 496:701–713
Spangler WJ, Spigarelli JL, Rose JM, Flippin RS, Miller HH (1973) Degradation of methylmercury by bacteria isolated from environmental samples. Appl Microbiol 25:488–493
Tapia J, Audry S, Townley B, Duprey JL (2012) Geochemical background, baseline and origin of contaminants from sediments in the mining-impacted Altiplano and Eastern Cordillera of Oruro, Bolivia. Geochem Explor Environ Anal 12:3–20
Tseng CM, Lamborg C, Fitzgerald WF, Engstrom DR (2004) Cycling of dissolved elemental mercury in Arctic Alaskan lakes. Geochim Cosmochim Acta 68:1173–1184
UNEP (2013) Global mercury assessment 2013: sources, emissions, releases and environmental transport 2013. UNEP Chemicals Branch, Geneva
Wang S, Zhang M, Li B, Xing D, Wang X, Wei C et al (2012) Comparison of mercury speciation and distribution in the water column and sediments between the algal type zone and the macrophytic type zone in a hypereutrophic lake (Dianchi Lake) in southwestern China. Sci Total Environ 417–418:204–213
Weber JH (1993) Review of possible paths for abiotic methylation of mercury(II) in the aquatic environment. Chemosphere 26:2063–2077
Zaratti F, Forno RN, Garcia Fuentes J, Andrade MF (2003) Erythemally weighted UV variations at two high-altitude locations. J Geophys Res 108:ACH5-ACH1-6
Acknowledgments
This work is a contribution to the COMIBOL project (INSU CNRS/IRD EC2CO Program) and LAPACHAMAMA project (ANR CESA program, No. ANR-13-CESA-0015-01). We wish to thank J.L. Duprey, A. Castillo, M. Claure (IRD Bolivia), and Don German Calizaya (Fishermen Association, Machacamarca, Bolivia) for their help and assistance during the field campaigns.
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Philippe Garrigues
Electronic supplementary material
Below is the link to the electronic supplementary material.
ESM 1
(DOCX 83 kb)
Rights and permissions
About this article
Cite this article
Alanoca, L., Amouroux, D., Monperrus, M. et al. Diurnal variability and biogeochemical reactivity of mercury species in an extreme high-altitude lake ecosystem of the Bolivian Altiplano. Environ Sci Pollut Res 23, 6919–6933 (2016). https://doi.org/10.1007/s11356-015-5917-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-015-5917-1