Introduction

Diazotrophic bacteria are able to fix atmospheric nitrogen by biological nitrogen fixation (BNF) process (Bhattacharjee et al. 2008). Some diazothrophs live in close association with plants and have the capacity to transfer the fixed nitrogen to the host (Chubatsu et al. 2012; Carvalho et al. 2014). Furthermore, they can be used to improve crop yield and quality (Chebotar et al. 2015; Berg 2009). Future biotechnological applications, such as an alternative for chemical fertilizers (Babalola 2010), increasing crop production or even conserving biodiversity (Germida et al. 1998; Stets et al. 2013), are processes that can be driven based on the advance of plant-diazotrophic bacteria association’s knowledge. Plant response to inoculation depends on the plant genotype and the plant growth bacterial inoculant (Amaral et al. 2016; Alves et al. 2015). During plant–beneficial bacteria interaction, microorganisms modulate plant molecular responses (Vargas et al. 2012, 2014; Brusamarello-Santos et al. 2012; Berg 2009), and both partners are altered in response to interaction (Cordeiro et al. 2013; Tadra-Sfeir et al. 2015; Balsanelli et al. 2015).

Herbaspirillum seropedicae is an endophytic diazotrophic bacterium, which is able to colonize internal tissues of plants (Chubatsu et al. 2012). It belongs to β-proteobacteria class and colonizes mainly roots, stems and leaves of Poacea (Olivares et al. 1996; James et al. 1997; Baldani et al. 1986). Assessing 21 strains of Herbaspirillum in two maize varieties, Alves et al. (2015) observed that H. seropedicae ZAE94 contributed to plant growth in greenhouse assay and its application as field inoculant increased maize yield up to 34% and can provide 37% of nitrogen plant demand by BNF. One of the best studied strain, H. seropedicae SmR1 (Monteiro et al. 2012) has its complete genome sequenced (Pedrosa et al. 2011). Recent work using Setaria viridis co-inoculated with two nitrogen-fixing bacteria, H. seropedicae SmR1 and Azospirillum brasilense FP2 revealed that the plant could incorporate the fixed nitrogen by BNF in its proteins. Additionally, the nitrogen fixed by the bacteria directly affects overall plant metabolism (Pankievicz et al. 2015). BNF process is mediated by nitrogenase enzymatic complex (Rees and Howard 2000), which is highly regulated at transcriptional and post-translational levels in H. seropedicae (Chubatsu et al. 2012). Nitrogenase metalloenzime is composed by two structural components and the smaller one, Fe-protein, is encoded by nifH gene (Rees and Howard 2000; Dixon and Kahn 2004; Peters et al. 1995; Machado et al. 1996). It was showed that H. seropedicae nif expression occur on and inside roots, leaves and stems of maize, rice, wheat and sorghum plants and nif gene expression in colonized plants suggests that infected tissues provide a suitable environment for BNF (Roncato-Maccari et al. 2003).

In bacteria that interact with eukaryotic hosts, the T3SS is the most common structural apparatus used to translocate effector proteins into the host cytoplasm (He et al. 2004). Analyses of the H. seropedicae SmR1 genome have indicated the presence of genes homologous to the T3SS, suggesting that it is present in this bacterium, and raising the possibility that it may be involved in its interaction with host plants (Monteiro et al. 2012). T3SS is one of the pathways by which some secreted proteins are exported across the inner and outer membranes in Gram-negative bacteria and its machinery is termed injectiosome. Therefore, injectiosome function is to deliver effectors across the bacteria and host membranes into the cytosol of host cells, where they may modulate a large variety of host cell functions, including immune and defense responses (Tseng et al. 2009; Desvaux et al. 2004; He et al. 2004). In a previous study, H. seropedicae dinitrogenase reductase (nif) and T3SS ATP synthase were identified by peptide mass fingerprint among 18 differentially accumulated proteins on proteome of inoculated maize roots 7 days after inoculation (DAI) (Ferrari et al. 2014). DNA-directed RNA polymerase subunit beta’ (rpoC) is a constitutive gene that has been used as a reference gene for normalization in relative gene expression by RT-qPCR in H. seropedicae pure culture in the presence of sugarcane extract in the bacterial culture medium (Cordeiro et al. 2013).

A major problem related to inoculants is the survival of inoculated bacteria in the rhizosphere and the effective plant colonization (Stets et al. 2015). Regarding bacterial DNA presence in planta, quantitative PCR (qPCR) has been the method of choice to quantify plant growth promoting bacteria because it is fast and specific. PCR and qPCR have been used to identify Azospirillum isolates from rhizosphere and soil (Shime-Hattori et al. 2011; Baudoin et al. 2010) and to monitor Azospirillum colonization in wheat and maize (Stets et al. 2015; Couillerot et al. 2010, 2013). qPCR assay was developed using SYBR Green and HERBAS1 species-specific primers to quantify H. seropedicae DNA in inoculated maize roots (Pereira et al. 2014), however a hydrolysis probe assay present higher specificity comparing to a SYBR Green assay.

Herein we developed a hydrolysis probe qPCR tool to quantify H. seropedicae DNA in planta and RT-qPCR assays to measure H. seropedicae transcript levels in plant tissues to evaluate gene expression of a constitutive gene, DNA-directed RNA polymerase subunit beta’ (rpoC), and two regulated genes, related to injectiosome apparatus T3SS (hrcN) and nitrogen fixation (nifH). Our aim was to develop new tools to address the abundance of H. seropedicae SmR1 and its expression (nifH, rpoC and hrcN) in planta in order to monitor the effective plant colonization by this bacterium in two maize growth conditions.

Materials and methods

Bacterial growth and experimental conditions

Herbaspirillum seropedicae strain SmR1, a spontaneous streptomycin resistant mutant of strain Z78 (ATCC 35893), was routinely grown in orbital shaker (120 rpm) at 30 °C in 30 mL NFbHPN medium supplemented with 5 mg L−1 malic acid (Klassen et al. 1997). The bacterial strains used for qPCR probe specificity assay were grown as previously described (Pereira et al. 2014). The optical density (OD) of bacterial cell cultures was measured at 600 nm using Hitachi U2910 Spectrophotometer (Tokyo, Japan). H. seropedicae SmR1 was inoculated in maize seedlings (Pioneer 30F53) cultivated in two distinct conditions:in vitro and in soil. Maize seeds were surface-sterilized in laminar flow by immersion in 70% ethanol for 5 min, followed by submersion in 2% sodium hypochlorite plus 2.5% Tween-20 solution for 30 min. Seeds were then rinsed 3 times with sterile distilled water, germinated on plates containing water-agar 0.8% (in vitro) or water moist filter paper (in soil) and stored at 25 °C in a dark chamber for 3 days. Three days old seedlings were inoculated with washed H. seropedicae SmR1 culture (OD600 = 1; 108 cells of H. seropedicae SmR1 mL−1) after dilution to 105 cells mL−1 (in vitro) or 107 cells mL−1 (in soil) in sterile NFb malate medium without nitrogen source, for 30 min with constant agitation (80 rpm) (Balsanelli et al. 2010). For seedlings grown in vitro, control seedlings were mock-inoculated under the same conditions as described above. For cultivation, seedlings were washed in autoclaved 0.9% saline buffer for 1 min and placed in the glass tubes containing plant medium solution. The seedlings were placed side-by-side in a controlled-environmental chamber with 16 h photoperiod, photosynthetic active radiation of 150 µmol m−2 s−1, 25 °C light/23 °C dark and 40% humidity. The experiment was conducted in completed randomized blocks in three biological replicates. Plants were randomly collected 4, 7 and 10 DAI. For seedling grown in soil, the mock inoculum was prepared in the same conditions as described, but using a bacterial culture boiled at 100 °C for 15 min in water bath until bacteria complete inactivation (Pankievicz et al. 2015). After inoculation, the seedlings were placed in 2 L pots containing 1.5 kg soil (Cerro Negro, Santa Catarina, Brazil, 27°47′43″S, 50°52′33″W) previously supplemented with 100 mL nutrient solution (Rodriguez-Salazar et al. 2009) with reduced nitrogen (0.5 mM KNO3). Plants were grown in greenhouse under natural light without temperature control (average temperature about 29 °C), watered daily and every 2 days was added 100 mL of nutrient solution per pot. The experiment was conducted in completed randomized blocks in three biological replicates. Plants were randomly collected 14, 21 and 28 DAI. Plant tissues were immediately frozen in liquid nitrogen and stored at −80 °C until analysis.

Herbaspirillum seropedicae DNA quantification

Total DNA was isolated from maize tissue using DNeasy Plant Mini Kit (Qiagen) according to the manufacturer’s protocol. Each sample was a pool of three roots or leaves, obtained by manual crushing with mortar and pestle in the presence of liquid nitrogen. DNA extraction from bacterial cultures was performed using Wizard® Genomic DNA purification kit (Promega™, Madison, WI, USA) with modifications (Pereira et al. 2014). DNA concentration was estimated from measurements at 260 and 280 nm on a Thermo Scientific NanoDrop 2000 spectrophotometer (Willmington, DE, USA). H. seropedicae DNA quantification in maize plants grown in vitro and in soil was performed by qPCR using HERBAS1 species-specific primers, targeting Bacteriophage Tail Fiber Protein (GenBank accession CP002039.1| 216,307–217,431), and SYBR Green (Pereira et al. 2014). Additionally, a TaqMan probe (HERBAS1) was designed using Primer Express 3.0 (Applied Biosystems) (Table S1). The HERBAS1 probe specificity test was performed using bacterial DNA isolated from H. seropedicae SmR1, Herbaspirillum hiltneri, Herbaspirillum huttiense, Herbaspirillum lusitanum, Herbaspirillum rubrisubalbicans, Herbaspirillum frisingense, Azospirillum brasilense, Bacillus cereus, Bacillus subtilis, Escherichia coli, Rhizobium sp., Microbacterium sp., and Pseudomonas sp. The amplification reactions contained 12.5 µL of 2× SYBR Green Master Mix or 2× TaqMan Universal PCR Master Mix (Applied Biosystems, Foster City, CA, USA), 100 nM of HERBAS1 forward and reverse primers, 100 nM HERBAS1 probe (TaqMan assay), water and 20 ng of template DNA in a final volume of 25 µL. All control samples reactions were carried out in duplicate and the inoculated samples in triplicate following the cycling conditions: an initial incubation step at 50 °C for 2 min, 95 °C incubation for 10 min, followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. For SYBR Green reactions, an additional dissociation curve with linear increase from 60 to 95 °C was performed immediately after each run. All real-time PCR runs were analyzed using automatic software settings. The reactions were performed in ABI PRISM 7500 Detection System (Applied Biosystems, Foster City, CA, USA). In order to quantify the genomic DNA amount in a pure culture of H. seropedicae SmR1, standard curves were prepared by serial dilution. Genomic DNA was 10-fold serially diluted in ultra-pure water to final concentrations ranging from 106 to 100 DNA copies, equivalent to concentrations of 6.03 ng to 6.03 fg. The number of genome copies (m) was calculated based on H. seropedicae SmR1 genome size (5.51 Mbp) (Pedrosa et al. 2011) as described previously (Pereira et al. 2014). A standard curve was designed for each growth condition as well as plant tissue (roots and leaves) for both SYBR Green and TaqMan assays. The qPCR reactions were carried out separately, in triplicate. Amplification efficiency values were calculated from the equation E = (10−1/S − 1) × 100, where E is the efficiency (percent) and s is the slope obtained from the standard curve.

Bacterial transcript content quantification

Total RNA was isolated from approximately 100 mg of a pool of three maize roots using TRI Reagent Protocol (Sigma-Aldrich, St. Louis, USA). RNA samples were quantified by Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA) and treated with DNase I Amplification Grade (Sigma-Aldrich) to eliminate DNA contamination. cDNA synthesis was obtained using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems), with 2 µg of purified RNA and random primer. For absolute quantification of bacterial transcripts in roots of maize plants grown in vitro and in soil, H. seropedicae SmR1 DNA was used as standard and three standard curves were performed using three distinct H. seropedicae SmR1 DNA extracts for each bacterial target gene nifH, hrcN and rpoC (Table S2), in triplicate. Primer Express 3.0 (Applied Biosystems) software was used to design nifH and hrcN primers. Reactions for in vitro and in soil samples were performed in triplicate, with 40 ng of cDNA template and nifH, hrcN and rpoC primer pairs separately. Primer concentrations were described in Table S2. The qRT-PCR reactions were carried out in ABI PRISM 7500 Detection System (Applied Biosystems), following the amplifications conditions as described above using 2× SYBR Green Master Mix (Applied Biosystems) in a final volume of 20 µL. Standard curves (Ct versus log DNA copy number) were used to estimate nifH, rpoC and hrcN gene expression in roots of control and inoculated plants. Gene expression was expressed as nifH, rpoC and hrcN cDNA copy number per 40 ng of total cDNA template. In order to verify the interference of the maize DNA presence in amplification efficiency values, standard curves were constructed for each gene using cDNA from an inoculated maize root sample grown in vitro. The cDNA was fivefold serially diluted in ultra-pure water, with concentrations ranging from 80 to 0.3125 ng of cDNA template, in duplicate and the amplification efficiencies were determined as mentioned above.

Results

qPCR parameters and probe specificity test

Standard curves were prepared for each experimental condition (in vitro and in soil) and plant tissue (maize roots and leaves), using SYBR Green or TaqMan reagents to obtain qPCR parameters such as efficiency, slope and correlation coefficient (R2). SYBR Green assay (Table 1) showed efficiency values varying from 89 to 100%. The qPCR parameters obtained through the standard curves using TaqMan probe (Table 2) showed efficiency values ranging from 84 and 99%. Using six H. seropedicae SmR1 DNA standard curves constructed for the TaqMan assay (six different runs), the general efficiency value obtained was 91% and slope value −3.55. The limit of detection (LOD) using TaqMan assay was established as 101 copies, which corresponds to mean Ct = 32.8 (Fig. S1). Probe specificity test was conducted for TaqMan assay, which was able to detect selectively H. seropedicae SmR1 DNA (Table 3). Even though it was detected late Ct value for different bacteria species but same genera (H. hiltneri, H. huttiense, H. lusitanum, H. rubrisubalbicans and H. frisingense), H. seropedicae SmR1 presented early Ct value (10.21) related to the others (Ct > 32.30).

Table 1 Parameters of SYBR green qPCR standard curves for H. seropedicae SmR1 quantification using HERBAS1 primers (100 nM) and bacterial DNA serial dilution
Table 2 Parameters of TaqMan qPCR standard curves for H. seropedicae SmR1 quantification using HERBAS1 primers (100 nM), HERBAS1 probe (100 nM) and bacterial DNA serial dilution
Table 3 Positive amplifications and Ct values generated by TaqMan qPCR specificity assay using primers HERBAS1, HERBAS1 Probe and template DNA extracted from H. seropedicae SmR1 or other bacteria

Quantification of H. seropedicae DNA in maize cultivated in vitro and in soil

Total DNA isolated from roots and leaves of maize plants (control and inoculated) grown in two conditions were used as template to qPCR in order to quantify H. seropedicae DNA. Considering plants grown in vitro (Table 4), inoculated samples presented around 109 H. seropedicae DNA copy number/g of fresh root tissue (4, 7 and 10 DAI) and ranged from 107 (4 DAI) to 109 (7 and 10 DAI) in leaf tissues using SYBR Green. H. seropedicae DNA contents determined by TaqMan assay were similar to SYBR Green results. As expected, bacterial DNA was not detected in control samples by both qPCR assays, either roots or leaves of seedlings grown in vitro. Considering plants grown in soil (Table 5), H. seropedicae DNA was detected using SYBR Green in 9 out of 9 inoculated root samples 14 DAI, 6 out of 9 samples 21 DAI and 3 out of 9 samples 28 DAI. On the other hand, H. seropedicae DNA was detected in only 2 out of 6 control root samples (14 and 21 DAI). H. seropedicae DNA was not detected in leaf samples. Similarly, few control root samples showed H. seropedicae DNA presence comparing to inoculated in TaqMan assay. H. seropedicae DNA was not detected in control leaf samples, while two inoculated leaf samples (14 DAI) showed positive values for DNA presence.

Table 4 Bacterial DNA copy number/g root or leaf (fresh weight) of P30F53 Zea mays cultivated in vitro, inoculated and control samples after inoculation with H. seropedicae SmR1
Table 5 Bacterial DNA copy number/g root or leaf (fresh weight) of P30F53 Zea mays cultivated in soil, inoculated and control samples after inoculation with H. seropedicae SmR1

Transcript quantification of H. seropedicae in maize cultivated in two conditions

In this study, the cDNA quantity of bacterial transcripts nifH, hrcN and rpoC in maize root samples were determined by RT-qPCR using serial dilutions of DNA from H. seropedicae SmR1 pure culture as standard. Therefore, the standard curves were constructed by plotting Ct versus log DNA copy number to obtain efficiency and slope values (Fig. 1) and to estimate nifH, rpoC and hrcN gene expression in roots of control and inoculated plants. The bacterial gene expression (nifH, rpoC and hrcN) was quantified in maize root samples grown in vitro (Fig. 2) and in soil (Fig. 3) by RT-qPCR. In vitro, gene expression for nifH, rpoC and hcrN was not observed on control roots, whereas on inoculated roots, these genes were expressed 4, 7 and 10 DAI, in different patterns (Fig. 2). The nifH gene expression decreased from 4 to 10 DAI in inoculated samples. rpoC gene expression in inoculated samples slightly decreased from 4 to 10 DAI. Concerning plants grown in soil (Fig. 3), the cDNA bacterial quantification showed highest nifH bacterial gene expression in inoculated samples comparing to control. rpoC gene expression decreased in inoculated samples from 14 to 28 DAI. It was not possible to quantify hrcN gene in control or inoculated samples even 14, 21 or 28 DAI. Standard curves were also constructed for each gene using cDNA from inoculated root as template, which generate curve equations determining qPCR parameters such as efficiency and R2 (Table S3).

Fig. 1
figure 1

qPCR standard curves for H. seropedicae transcript quantification generated using three DNA extractions from H. seropedicae strain SmR1 as template and a nifH, b rpoC and c hrcN primers (n = 9)

Fig. 2
figure 2

Quantification of bacterial cDNA copy number per 40 ng of total cDNA, maize (P30F53 variety) grown in vitro after inoculation with H. seropedicae strain SmR1. a nifH gene expression, b rpoC gene expression, c hrcN gene expression. Data are presented as mean ± SD (n = 9)

Fig. 3
figure 3

Quantification of bacterial cDNA copy number per 40 ng of total cDNA, maize (P30F53 variety) grown in soil after inoculation with H. seropedicae strain SmR1. a nifH gene expression and b rpoC gene expression. Data are presented as mean ± SD (n = 9)

Discussion

Considering that there are few studies involving H. seropedicae response inside the plant, and assuming that different experimental settings would be required for a better comprehension about the plant–endophyte interaction (Hardoim et al. 2015), we developed qPCR assays to evaluate Zea mays colonization by H. seropedicae SmR1 in two growth conditions, in vitro and in soil. Herein we quantified H. seropedicae DNA in maize roots and leaves using HERBAS1 species-specific primer set previously designed for SYBR Green qPCR assay (Pereira et al. 2014). Besides, we aimed to validate a more specific tool for H. seropedicae DNA quantification, designing TaqMan HERBAS1 probe. TaqMan assay is the choice for qPCR targeting specific phytopathogens (Oliveira et al. 2002; Li et al. 2013). The labeled fluorogenic hybridization probe (TaqMan) is cleaved by 5′ nuclease activity of Taq DNA polymerase during the extension phase of PCR, yielding a real time measurable fluorescence emission directly proportional to the concentration of the target sequence (Heid et al. 1996). TaqMan probe with conjugated minor-groove-binding (MGB) groups form extremely stable duplexes with single-stranded DNA targets, allowing the design of shorter probes with high specificity of the hybridization (Kutyavin et al. 2000).

In order to establish a reliable DNA quantification, qPCR parameters for SYBR Green and TaqMan assays were defined using standard curves, once the use of a substantial standard curve based on a known DNA concentration makes it theoretically possible to quantify DNA from any source (Timmusk et al. 2009). Considering that a consistent standard curve should have a R2 value of more than 0.95 and a slope between −3.0 and −3.9 (corresponding to PCR efficiencies of 80 and 115%) (Zhang and Fang 2006), all curves presented reliable qPCR parameters (Tables 1, 2). Using a specific standard curve for each plate run, H. seropedicae DNA quantity on roots and leaves of maize grown in vitro and in soil could be properly estimated using SYBR Green and TaqMan probe assay. Aiming to verify if the TaqMan probe assay could differentiate H. seropedicae from other bacteria (even other bacteria from the same genera), we used DNA samples isolated from pure cultures of H. seropedicae and other bacteria species. Our results confirm the specificity of the HERBAS1 probe (Table 3) based on the Ct values presented by H. seropedicae (Ct = 10.21). In contrast, other species belonging to Herbaspirillum genera presented positive signals, but with late Ct values (>32.30). Furthermore, other bacteria species did not shown amplification signals. The difference of Ct values between the target and other bacteria species (at least 22.9) is more than enough to validate the use of this experimental condition, since the unspecific amplification will not influence the analysis (Martin-Sanchez et al. 2013). In a previous work using SYBR Green chemistry to detect and quantify H. seropedicae DNA in maize plants (Pereira et al. 2014), HERBAS1 primers were tested for H. seropedicae specificity, proving that this pair of primers is very specific for H. seropedicae DNA detection and quantification in planta. Comparing the unspecific Ct values using SYBR Green (25.59 for H. rubrisubalbicans and 29.62 for H. frisingense) with the unspecific Ct values using TaqMan probe (32.68 for H. rubrisubalbicans and 32.3 for H. frisingense), the unspecific amplification was reduced using TaqMan assay as expected. Taken together, these results showed that H. seropedicae DNA can be properly detected and quantified by SYBR Green assay or alternatively using more specific TaqMan assay.

The sensitivity of qPCR quantification experiments is given by the LOD, which is defined as the lowest DNA concentration in a sample that can be reliable detected. In qPCR assays, it is accepted that the LOD is the DNA amount at which 95% of the positive samples are detected (or no more than 5% failed reactions should occur) (Bustin et al. 2009). For the SYBR Green and TaqMan assays, the amplifications below the LOD were discarded, while those above the LOD were accounted and Ct values were used to calculate the mean value of the bacterial DNA copy number/g fresh tissue (Tables 4, 5). For H. seropedicae DNA quantification in maize roots and leaves using SYBR Green assay, the LOD was previously established as 101 genome copies, corresponding to a mean Ct value of 32.15 (Pereira et al. 2014). Using TaqMan probe assay, LOD also corresponded to 101 genome copies (Ct 32.8), permitting a reliable DNA quantification from 106 to 101 genome copies, similar to SYBR Green assay. Despite the difficulties in comparing LOD values between studies due to the differences in experimental designs, such as number of replicates, differences in master mix constituents, or conditions of DNA quantification (Price et al. 2012), the LOD found in the present study (101 genome copy number, corresponding to 60.3 fg) is in accordance with other studies using TaqMan PCR assays to detect and quantify microbial genomic DNA. For example, the genomic DNA of the pathogenic fungus Magnaporthe oryzae in rice, could be detected as low as 1 pg (Su’udi et al. 2013), as well as to detect Paenibacillus polymyxa DNA in wild barley (Timmusk et al. 2009). Also, for Bacillus subtilis and Pseudomonas fluorescens detection in soil, it was set a LOD of 10 pg (Kim et al. 2010).

Using the established set of primers HERBAS1 and HERBAS1 probe, the present study quantified H. seropedicae presence on roots and leaves of maize (P30F53 variety) cultivated in vitro and in soil employing SYBR Green and TaqMan chemicals in qPCR assays. There is a single copy of the HERBAS1 target sequence in H. seropedicae genome (Pedrosa et al. 2011), which allows us to estimate the bacterial cell number in maize tissues (Pereira et al. 2014). H. seropedicae DNA quantification in plants cultivated in vitro, using both SYBR Green and TaqMan qPCR assays (Table 4), indicates an increase or at least maintenance of the genome copy number per gram of root in inoculated maize roots and leaves along the time course (4, 7 and 10 DAI). Our results are consistent with those found previously in maize root plants (DKB240 variety) grown in the same conditions from 1 to 10 DAI (Pereira et al. 2014). Under laboratory conditions, H. seropedicae invade and colonize very quickly maize tissues, and 24 h after inoculation, roots (including xylem vessels) are completely colonized by the bacteria. The plant vascular system colonization allows the bacteria distribution throughout the host, reaching aerial parts (Monteiro et al. 2008, 2012). Our results strengthen these findings, once H. seropedicae DNA was detected in both belowground and aboveground tissues. Likewise qPCR assays were performed to quantify A. brasilense FP2 on roots of maize (Faleiro et al. 2013) and wheat (Stets et al. 2015). For both maize P30F53 and DKB240 varieties, A. brasilense DNA copy number per gram of root increased from 106 to 109 (Faleiro et al. 2013), confirming the possibility to detect and quantify diazotrophic bacteria in maize tissue and the rapid colonization of the plant tissue by plant growth promoting bacteria. Regarding to H. seropedicae DNA quantification of plants grown in nonsterile soil (Table 5), inoculated plants usually presented higher rates of H. seropedicae presence, comparing to control plants. Inoculated root samples showed bacteria presence about 105 DNA copy number per gram of fresh root for SYBR Green and TaqMan assays at 14, 21 and 28 DAI. Otherwise, H. seropedicae DNA was only detected in 2 out of 27 leaf samples of inoculated plants. Even if it is not possible to directly compare different analyzed times after inoculation among the different substrates, it is important to note that under axenic conditions there is absence of competing bacteria and the introduction of competition may substantially change the pattern of the plant colonization observed. Regarding that bacteria (even benefic or pathogenic) penetrate the plant tissue by the same attachment points, competing bacteria may secrete anti-bacterial substances and the plant may elaborate a defense against the mixed bacterial population (Monteiro et al. 2008). H. seropedicae attach and colonize maize root surface progressively from 3 to 15 days after inoculation (Roncato-Maccari et al. 2003). In contrast, a longer time study, which examined the population dynamics of H. seropedicae strain HRC 54 associated with maize roots, showed a continuous decrease in number of bacterial cells per gram of root (fresh weight) from 7 to 14, 21 and 30 DAI (Silva et al. 2014). Similar to our soil experiment, in which H. seropedicae DNA presence was lower 28 DAI (3 positive/9 total) comparing to 14 and 21 DAI. The same study also detected H. seropedicae HRC 54 presence in control plants, but fewer than in inoculated, as our results from plants grown in soil.

It is noteworthy that H. seropedicae DNA quantification stands in the higher bacteria genome copy number found on roots comparing to leaves in maize plants in both growth conditions. This may be a common behavior in diazotrophic bacteria, once other studies also found a greater bacteria presence in rhizosphere of grasses comparing to aerial parts (Rodriguez-Blanco et al. 2015; Pariona-Llanos et al. 2010). In most plants, the endophytes number in belowground is higher comparing to aboveground tissues (Rosenblueth and Martinez-Romero 2006). Higher Herbaspirillum spp. amounts were also observed on roots than stems in sugarcane field experiment (Reis et al. 2000). Additionally, Bacillus megaterium, a Gram-positive nitrogen-fixing bacteria which has similar colonization pattern to some Gram-negative endophytic diazotrophs, such as A. brasilense, migrates slowly from roots to leaves (Liu et al. 2006). This might explain the lower amount of bacteria found in shoots in these studies comparing to roots.

Bacterial gene expression (nifH, rpoC and hrcN) was analyzed on maize roots by RT-qPCR absolute quantification using standard curves performed with serial dilutions of H. seropedicae SmR1 DNA. Similar approach has already been employed in study of environmental diazotrophic diversity using nifH gene expression as a molecular marker (Martensson et al. 2009). The accuracy of the bacterial transcript quantification assay on roots of maize inoculated with H. seropedicae SmR1 in the present study was verified by qPCR standard curves parameters using bacterial DNA as template. According to Zhang and Fang (2006) the efficiencies between 80 and 115% are consistent with reliable standard curves. In this way, the efficiency values found in this study for nifH (105%), rpoC (103%) and hrcN (97%) bacterial genes (Fig. 1) are in accordance with the established parameters and hence the bacterial absolute transcript quantification could be properly measured. In this study, H. seropedicae nifH, rpoC and hrcN transcripts were quantified in maize roots grown in two growth conditions. We were able to detect nifH gene expression on inoculated maize roots, cultivated in two growth conditions. The highest amounts of nifH transcripts was found in inoculated samples grown in vitro, remaining about 103 bacterial cDNA copy number at 4, 7 and 10 DAI, although lower amounts were observed in soil plants. Our results are in accordance with previous studies showing that genera Herbaspirillum were able to express nif genes and presented nitrogenase activity when associated with other Poaceae, such as sorghum, rice and sugarcane (James et al. 1997, 2002; Olivares et al. 1997; Gyaneshwar et al. 2002; Elbeltagy et al. 2001).

Inoculated maize samples cultivated in axenic conditions (in vitro) had a relatively constant rpoC gene expression, between 5.7 and 4.2 × 103 cDNA copy number per 40 ng of total cDNA. Our results suggest that rpoC transcript level is a possible tool to monitor H. seropedicae activity in planta. rpoC gene expression was tested as a reference gene for Gluconacetobacter diazotrophicus grown in different carbon sources, however it was highly variable (Galisa et al. 2012). In contrast, rpoC presented constant expression for H. seropedicae culture in the presence of sugarcane extract, and it has been used as a reference gene for normalization of relative gene expression by RT-qPCR (Cordeiro et al. 2013). However our report is the first that successfully measure rpoC transcript levels in planta. Herein, transcripts of hrcN gene, coding for T3SS ATP synthase, was also measured. In vitro inoculated roots presented higher rates of hrcN transcripts at 10 DAI, comparing to 4 and 7 DAI. In contrast, hrcN transcript was not detected on roots in soil experiment at 14, 21 or 28 DAI. It was previously suggested that specific physiological conditions might be required for expression and activity of T3SS and synthesis of effector proteins in H. seropedicae (Pedrosa et al. 2011; Monteiro et al. 2012). It is possible that the necessary conditions were achieved in vitro plant growth condition 4, 7 and 10 DAI, but not in soil 14, 21 and 28 DAI. Despite transcriptomic analysis of in vitro H. seropedicae and maize interaction did not reveal T3SS gene expression (Balsanelli et al. 2015), T3SS was identified by mass spectrometry when investigating the root proteome of H. seropedicae and maize interaction 7 DAI (Ferrari et al. 2014). We observed that H. seropedicae DNA copy number slightly increased in roots and leaves of plants grown in vitro from 4 to 10 DAI, while nifH transcript level decreased over time in roots, but the same was not observed for rpoC or hrcN transcript levels, suggesting that nifH expression was regulated in the beginning of this plant–bacteria interaction.

In conclusion, we quantified H. seropedicae DNA presence on roots and leaves of maize plants (P30F53 variety) inoculated with diazotrophic bacteria H. seropedicae, and also measured the transcripts levels of bacterial genes on maize roots of plants grown in sterile and nonsterile conditions. We developed a specific, reliable and efficient TaqMan probe for qPCR assay, to quantify H. seropedicae DNA in plant tissues. H. seropedicae nifH and rpoC gene expression were detected on roots of inoculated maize grown in both growth conditions, however it was not possible to verify hrcN gene expression in plants grown in soil. Our results suggest that it is possible to use nifH and rpoC transcript levels to monitor H. seropedicae gene expression inside plant tissue.