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/lp/springer-journals/spatial-change-of-reservoir-nitrite-dependent-methane-oxidizing-Oa0TRF4MX6
- Publisher
- Springer Journals
- Copyright
- Copyright © 2016 by Springer-Verlag Berlin Heidelberg and the University of Milan
- Subject
- Life Sciences; Microbiology; Microbial Genetics and Genomics; Microbial Ecology; Mycology; Medical Microbiology; Applied Microbiology
- ISSN
- 1590-4261
- eISSN
- 1869-2044
- DOI
- 10.1007/s13213-016-1247-x
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Abstract
Ann Microbiol (2017) 67:165–174 DOI 10.1007/s13213-016-1247-x ORIGINAL ARTICLE Spatial change of reservoir nitrite-dependent methane-oxidizing microorganisms 1 2 3 3 3 3 Yan Long & Qingwei Guo & Ningning Li & Bingxin Li & Tianli Tong & Shuguang Xie Received: 8 September 2016 /Accepted: 30 November 2016 /Published online: 10 December 2016 Springer-Verlag Berlin Heidelberg and the University of Milan 2016 Abstract Nitrite-dependent anaerobic methane oxidation (n- pmoA gene sequences showed no close relationship to those damo), catalyzed by microorganisms affiliated with bacterial from any known NC10 species. In addition, the present n- phylum NC10, can have an important contribution to the re- damo process was found in reservoir sediment, which could duction of the methane emission from anoxic freshwater sed- be enhanced by nitrite nitrogen amendment. iment to the atmosphere. However, information on the varia- . . . tion of sediment n-damo organisms in reservoirs is still lack- Keywords Freshwater Methane oxidation Reservoir ing. The present study monitored the spatial change of sedi- Sediment ment n-damo organisms in the oligotrophic freshwater Xinfengjiang Reservoir (South China). Sediment samples were obtained from six different sampling locations and two Introduction sediment depths (0–5cm,5–10 cm). Sediment n-damo bacte- rial abundance was found to vary with sampling location and Microbial communities in aquatic sediments can be involved layer depth, which was likely influenced by pH and nitrogen in a variety of biogeochemical processes (Yang et al. 2015; level. The presence of the n-damo pmoA gene was found in all Zhang et al. 2015). Methanogenesis in sediment ecosystems these samples. A remarkable shift occurred in the diversity contributes a significant part of the total global emission of and composition of sediment n-damo pmoA gene sequences. methane (CH ), a greenhouse gas of critical significance to A variety of distinctively different n-damo pmoA clusters global climate change (Chaudhary et al. 2013). Aerobic existed in reservoir sediments. The pmoA sequences affiliated methanotrophs are usually believed to play a crucial role in with Candidatus Methylomirabilis oxyfera formed the largest mitigating the methane emission from anoxic sediments to the group, while a significant proportion of the obtained n-damo atmosphere (Rahalkar et al. 2009; Lopes et al. 2011; Tsutsumi et al. 2012). However, the recent discovery of nitrite- dependent anaerobic methane oxidation (n-damo), biological- Electronic supplementary material The online version of this article (doi:10.1007/s13213-016-1247-x) contains supplementary material, ly catalyzed by microorganisms within the bacterial phylum which is available to authorized users. NC10 (Ettwig et al. 2009, 2010), suggests that the n-damo process might be another important sink of methane in natural * Shuguang Xie aquatic environments (Deutzmann et al. 2014). So far, previ- xiesg@pku.edu.cn ous studies have investigated the distribution of n-damo bac- teria in a number of sediment ecosystems, such as lake sedi- Key Laboratory of Water/Soil Toxic Pollutants Control and ment (Deutzmann and Schink 2011; Kojima et al. 2012; Bioremediation of Guangdong Higher Education Institutes, School Deutzmann et al. 2014;Liu et al. 2015), river sediment of Environment, Jinan University, Guangzhou 510632, China 2 (Shen et al. 2014a), river estuary sediment (Yan et al. 2015), South China Institute of Environmental Sciences (SCIES), Ministry sea estuary sediment (Shen et al. 2014b), coastal wetland sed- of Environment Protection (MEP), Guangzhou 510655, China 3 iment (Chen et al. 2014), and marine sediment (Chen et al. State Key Joint Laboratory of Environmental Simulation and 2015). However, the environmental factors regulating the dis- Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China tribution of sediment n-damo bacteria remain poorly known. 166 Ann Microbiol (2017) 67:165–174 Several previous studies suggested that the freshwater sedi- ZL201420490790.1) in July 2015 (Figure S1). These sedi- ment n-damo community might be influenced by a number of ment cores were immediately transported back to the labora- environmental factors, such as ammonium nitrogen, nitrite tory after collection and were then sliced into layers. In the nitrogen, total inorganic nitrogen, organic matter, and the ratio present study, the upper layer (0–5 cm) and the lower layer (5– of organic matter to total nitrogen (Shen et al. 2014a; Liu et al. 10 cm) were used for further chemical and molecular analyses. 2015;Longetal. 2016). Moreover, sediment is a stratified Sediment samples UA and LA (23°50′21.00″ N, 114°36′ habitat, which can provide niches for metabolically diverse 23.00″ E), UB and LB (23°48′34.00″ N, E114°34′17.00″ E), microorganisms (Zhao et al. 2008). Although the depth- UC and LC (23°45′36.00″ N, E114°30′7.00″ E), UD and LD related change of the sediment microbial community structure (23°55′34.00″ N, 114°33′19.00″ E), UE and LE (23°54′3.00″ has been well documented (Shivaji et al. 2011; Liu et al. 2014; N, 114°28′21.00″ E), and UF and LF (23°51′5.00″ N, 114°31′ Pagès et al. 2015;Lu et al. 2016), the difference in n-damo 23.00″ E) were referred to as the upper layer and lower layer bacteria among different sediment depths remains unclear. sediments in sampling locations A–F, respectively. Sediment The Xinfengjiang Reservoir, located in the subtropical cli- pH was determined using an IQ 150 pH meter. Sediment total mate zone, is the largest drinking water reservoir in organic carbon (TOC) and total phosphorus (TP) were ana- Guangdong Province (South China), and the fourth largest lyzed using the potassium dichromate titration method and the drinking water reservoir in China. At full water level, this molybdenum blue colorimetry method, respectively (Wang oligotrophic freshwater reservoir stores a volume of 13.9 bil- 2012). The levels of sediment ammonium nitrogen (NH - 3 2 − − lion m . The Xinfengjiang Reservoir covers 364 km ,with a N), nitrite nitrogen (NO -N), nitrate nitrogen (NO -N), 2 3 total catchment area of 5730 km , and its average water depth and total nitrogen (TN) were measured using Nessler’s re- is 28.7 m (with a maximum water depth of 93 m) (Hu et al. agent method, the naphthalene ethylenediamine spectropho- 2008). The aim of this current study was to investigate the tometry method, phenoldisulfonic acid colorimetric method, distribution of sediment n-damo bacteria in the Xinfengjiang and the Kjeldahl method, respectively (Wang 2012). The Reservoir at different sampling locations and sediment depths. chemical parameters of these reservoir sediment samples are The possible environmental factors influencing sediment n- shown in Table 1. The levels of sediment pH, TOC, NH -N, − − damo bacteria was also explored. NO -N, NO -N, TN, and the ratio of TOC to TN (C/N) were 3 2 5.12–5.85, 31.18–327.88 g/kg, 41.26–154.35 mg/kg, 0.33– 3.01 mg/kg, 0.36–3.75 mg/kg, 69.63–643.26 mg/kg, and 343.1–899.1, respectively. Materials and methods Study locations and sampling Quantitative PCR assay Sediment cores in triplicate at six sampling locations (A–F) in Reservoir sediment DNA was extracted using the PowerSoil the Xinfengjiang Reservoir were collected using self-made DNA Isolation Kit (MO BIO Laboratories, Carlsbad, CA, stainless steel columnar sediment samplers (patent number USA). The DNA concentration was quantified using Table 1 Physicochemical features of reservoir sediment samples. Sediment samples UA and LA, UB and LB, UC and LC, UD and LD, UE and LE, and UF and LF refer to the upper layer and lower layer sediments in sampling locations A–F, respectively + − − Sample pH TOC (g/kg) NH -N (mg/kg) NO -N (mg/kg) NO -N (mg/kg) TN (mg/kg) C/N 4 3 2 UA 5.26 ± 0.02 5.11 ± 0.11 45.18 ± 1.76 0.91 ± 0.08 0.57 ± 0.03 69.63 ± 1.12 73.3 ± 1.2 UB 5.85 ± 0.02 19.38 ± 0.56 64.86 ± 2.31 0.58 ± 0.05 0.96 ± 0.08 305.27 ± 3.07 63.5 ± 1.5 UC 5.16 ± 0.01 16.5 ± 0.34 65.74 ± 1.45 2.75 ± 0.24 1.31 ± 0.05 270.87 ± 4.21 60.7 ± 2.1 UD 5.18 ± 0.01 21.4 ± 0.71 112.85 ± 2.22 1.6 ± 0.11 3.75 ± 0.16 511.18 ± 3.89 41.9 ± 1.6 UE 5.56 ± 0.01 32.79 ± 1.12 108.38 ± 1.98 2.69 ± 0.31 0.58 ± 0.04 366.59 ± 5.22 89.4 ± 1.3 UF 5.15 ± 0.01 31.78 ± 0.43 67.78 ± 1.34 0.87 ± 0.02 2.78 ± 0.13 643.26 ± 5.17 49.4 ± 2.3 LA 5.4 ± 0.02 3.12 ± 0.07 81.66 ± 0.98 2.91 ± 0.13 0.36 ± 0.01 90.89 ± 3.26 34.3 ± 1.2 LB 5.5 ± 0.01 28.09 ± 1.11 76.82 ± 2.15 0.33 ± 0.03 1.71 ± 0.07 427.41 ± 4.12 65.7 ± 2.2 LC 5.12 ± 0.02 14.53 ± 0.97 48.43 ± 2.11 2.48 ± 0.21 0.65 ± 0.02 273.53 ± 1.98 53.1 ± 3.1 LD 5.38 ± 0.01 28.83 ± 0.78 111.76 ± 2.08 2.43 ± 0.11 2.48 ± 0.12 497.1 ± 2.56 58 ± 1.4 LE 5.51 ± 0.01 28.64 ± 1.23 154.35 ± 1.76 1.03 ± 0.09 1.9 ± 0.12 463.99 ± 3.87 61.7 ± 2.1 LF 5.3 ± 0.01 25.39 ± 0.79 41.26 ± 1.87 3.01 ± 0.14 0.85 ± 0.03 282.42 ± 2.96 89.9 ± 1.8 Ann Microbiol (2017) 67:165–174 167 NanoDrop® ND-1000 UV–vis spectrophotometry (USA). sequences in this study were deposited in the GenBank data- The abundance of the n-damo bacterial 16S rRNA gene was base under accession numbers KT955749–KT955847, assessed using the primer set (qP2F/qP2R), according to the KU052366 –KU052487, KU341779 –KU341784, literature (Ettwig et al. 2009; Wang et al. 2012). Standard KU341792–KU341834, and KU605622–KU605628. The 3 9 curves ranging from 10 to 10 gene copies/mL were obtained valid sequences were clustered into operational taxonomic with serial dilutions of plasmid DNA containing the target units (OTUs) with a maximum distance of 7%, and OTU- gene. The amplification efficiency and coefficient (r )forn- based Chao1 richness estimator and Shannon and Simpson damo bacterial 16S rRNA genes were 94% and 0.998, respec- indices were then calculated using the mothur program tively. Negative control containing no template DNA was car- (Schloss et al. 2009). Phylogenetic analysis of the retrieved ried out following the same qPCR protocol to exclude any reservoir sediment n-damo pmoA gene sequences was per- possible contamination. formed using the software MEGA 6.0 (Tamura et al. 2013), using the neighbor-joining method. Bootstrap analysis with Measurement of n-damo activity 1000 replicates was applied to test the confidence levels. In addition, the similarity of the n-damo pmoA gene was deter- In this study, the sediment sample with the highest n-damo mined based on the OTU-based Bray–Curtis similarity matri- bacterial abundance was used to perform the n-damo activity ces. The relative abundance of each n-damo pmoA OTU test using an incubation reactor (with a working volume of equaled the ratio of the sequence number of each OTU to 1.0 L) (Figure S2). The sediment sample (300 g, dry weight) the total sequences of all OTUs in a given sample. Sample was added into the incubation reactor containing 450 mL ni- clustering was carried out with the unweighted pair group trite solution (with 47.14 mg/L NO -N) or deionized water method with arithmetic mean (UPGMA) using the software (as control), and the incubation reactor was capped and sealed PRIMER 5.0 (Clarke and Warwick 2001). with glass cement. Before CH (99.9% purity) injection, the headspace was flushed with argon gas (99.999% purity) for Statistical analysis 15 min and subsequently evacuated. The initial volume con- tent of CH in the headspace was above 95%. The mixture in In this study, one-way analysis of variance (ANOVA) follow- the reactor was magnetically stirred at 150 rpm at 25 °C. At ed by the Student–Newman–Keuls test was applied to deter- each sampling date, 1 mL of gas was collected to measure the mine the significant difference (P < 0.05) in the number of n- volume content of CH and N , and a 3-mL liquid sample was damo bacterial 16S rRNA genes among reservoir sediment 4 2 sampled and centrifuged to measure nitrite level. The nitrite samples. Spearman’s rank correlation analysis was used to content in the liquid sample was measured according to the discriminate the links between n-damo organisms and reser- standard methods described by the Chinese Environmental voir sediment physicochemical properties using the software Protection Agency (2002). The volume contents of CH and SPSS 20.0. Moreover, redundancy analysis (RDA) with the N were measured with a gas chromatographer (Fuli 9790, software Canoco 4.5 was also applied to identify the relation- Fuli Analytical Instrument Co., Ltd., China) equipped with a ship between n-damo pmoA gene composition and environ- PorparkQ packed column and a thermal conductivity detector. mental factors. The proportion of n-damo pmoA gene se- Argon gas was used as the carrier gas and its flow rate was quences in each OTU was used as the species input, while 30 mL/min. The temperatures of the injector, oven, and detec- the reservoir sediment physicochemical properties were tor were set at 50, 50. and 85 °C, respectively. assigned as the input for environmental variables. The signif- icance test of Monte Carlo permutations was conducted to Clone library analysis obtain a suitable model of the microbe–environment relationships. The n-damo pmoA gene was amplified using a nested ap- proach (first-step primer pair A189_b/cmo682 and second- step primer pair cmo182/cmo568), as previously described Results (Wang et al. 2012). The PCR reactions were carried out as follows:94°Cfor 2min;40 cyclesof94°C for 1min, Abundance of n-damo bacteria 56 °C for 1 min, and 72 °C for 1.5 min, followed by 72 °C for 10 min (Long et al. 2016). Amplicons were purified using So far, the number of n-damo bacteria in the environment is the QIAquick PCR Purification Kit (Qiagen Inc.). The puri- usually estimated by quantifying their 16S rRNA genes fied PCR products from triplicate sediment samples were (Wang et al. 2012;Shen et al. 2014a; Liu et al. 2015). In this pooled in equal amounts and then cloned into pMD19-T vec- study, the observed n-damo 16S rRNA gene copy number in 4 6 tor (Takara Corp, Japan). The clones containing the correct reservoir sediments ranged between 8.43 × 10 and 1.03 × 10 size were sequenced. The obtained valid n-damo pmoA gene copies per gram of dry sediment (Fig. 1). At each sampling 168 Ann Microbiol (2017) 67:165–174 Fig. 1 Abundance of n-damo 1.2x10 16S rRNA genes in the different sediment samples. Values are the average of three independent 1.0x10 experiments. The vertical bars indicate standard deviations. The different letters above the 8.0x10 columns indicate the significant differences (P<0.05) 6.0x10 E E 4.0x10 2.0x10 AB A A 0.0 UA LA UB LB UC LC UD LD UE LE UF LF Sample location, the lower layer sediment showed higher n-damo bac- for the control reactor, after a 14-day incubation, the content of terial abundance than the corresponding upper one (P<0.05). CH decreased to 63.5%, while the N content increased to 4 2 Moreover, samples UD and UE had higher n-damo bacterial 33.9%. abundance than the other four upper sediments (P<0.05). A significant difference in n-damo bacterial abundance was Richness and diversity of the n-damo pmoA gene found between every two lower layer sediments (P < 0.05). These results illustrated the spatial variation of sediment n- The n-damo pmoA gene has become a widely used functional damo bacterial abundance the Xinfengjiang Reservoir. In ad- biomarker to assess the diversity of n-damo organisms in nat- dition, Spearman’s rank correlation analysis indicated that ural environments (Deutzmann and Schink 2011; Kojima sediment n-damo bacterial abundance was positively correlat- et al. 2012; Liu et al. 2015;Shenetal. 2015). In the present ed to the levels of sediment pH, TN, and NO -N (P<0.01) study, a total of 277 n-damo pmoA gene sequences were re- (Table 2). trieved from sediments in the freshwater Xinfengjiang Reservoir. Each n-damo pmoA library contained 17–32 valid Activity of the n-damo process sequences. A remarkable variation in OTU number was found in either upper layer sediment samples (3–13) or lower layer In this study, the sediment sample with the highest n-damo sediment samples (1–9) (Table 3). The value of the Chao1 bacterial abundance (sample LD) was used to perform the n- richness estimator in upper layer sediment samples ranged damo activity test. The removal of CH in the reactor added between 3 and 15.5, while lower layer sediment samples had with nitrite was more rapid than that in the control reactor a Chao1 richness estimator in the range 1–30. The value of the (Fig. 2). For the reactor added with nitrite, with the depletion Shannon index also showed a remarkable variation in either of nitrite nitrogen from 47.1 to 8.9 mg/L, the content of CH upper layer sediment samples (1.02–2.34) or lower layer sed- decreased from 95 to 26.6% after a 14-day incubation, but the iment samples (0–1.59). At four sampling locations, the upper N content increased from below limit to 58.6%. In contrast, layer sediment sample had higher pmoA diversity than the Table 2 Spearman’s rank + − − TOC pH NH -N NO -N NO -N TN C/N correlation analysis of sediment 4 3 2 n-damo organisms with Abundance 0.004 0.834* 0.557 −0.375 0.89* 0.977* −0.116 environmental factors OTUs 0.283 0.022 0.312 −0.28 0.483 0.559 −0.185 Chao1 estimator 0.448 0.140 0.322 0.046 0.287 0.480 0.088 Shannon index −0.021 −0.203 −0.021 −0.392 0.336 0.336 −0.252 Simpson index 0.336 0.329 0.224 0.224 −0.161 −0.070 0.322 *Correlation is significant at the 0.01 level -1 Number of 16S rRNA gene copies g dry sediment Ann Microbiol (2017) 67:165–174 169 separated from the other 11 reservoir samples. Sample UB alone formed a clade. Samples UD, UE, UF, and LD were clustered together. For either upper or lower layer sediments, they were distributed in three different clades. Moreover, at the sampling locations B, E, or F, the upper layer sediment was distantly separated from the corresponding lower layer sediment. These results suggested that both sampling location and sediment depth could affect n-damo pmoA gene compo- sition in sediments of the Xinfengjiang Reservoir. In addition, the environmental factors in the first two RDA axes respec- tively explained 26.5 and 13.2% of the total variance in sed- iment n-damo pmoA OTU composition (Fig. 4). However, in the present study, none of the determined environmental pa- rameters was found to significantly contribute to the n-damo Fig. 2 Variations of CH and N levels in incubation reactors added with 4 2 pmoA composition–environment relationship. nitrite (a) and deionized water (b). Values are the average of three independent experiments. The vertical bars indicate standard deviations Phylogeny of the n-damo pmoA gene corresponding lower layer one. In addition, a large difference in the value of the Simpson index also occurred in either upper Figure 5 shows the phylogenetic relationships of the represen- layer sediment samples (0.09–0.4) or lower layer sediment tative n-damo pmoA gene sequences from the major OTUs samples (0.19–1). At four sampling locations, the upper layer (with at least two members) and their close relatives reported sediment sample had lower evenness than the corresponding in the GenBank database. The sequences from the major n- lower layer one. However, the result of Spearman’srank cor- damo pmoA OTUs could be assigned to five distinctive clus- relation analysis illustrated no significant correlation between ters (clusters I, II, III, IV, and V). The sediment samples from the determined environmental factors and the n-damo pmoA the Xinfengjiang Reservoir showed a remarkable difference in gene (P > 0.05) (Table 2). the proportion of each n-damo pmoA cluster (Figure S3). Cluster I was the largest n-damo pmoA group and was UPGMA clustering analysis of n-damo pmoA gene composed of 98 pmoA gene sequences. These sequences composition could be grouped together with the pmoA gene sequence from Candidatus Methylomirabilis oxyfera (Ettwig et al. 2010)and Figure 3 illustrates the dendrogram constructed for the com- several uncultured n-damo pmoA sequences from a variety of position of sediment n-damo pmoA genes in the freshwater ecosystems, such as wetland, freshwater lake and river sedi- Xinfengjiang Reservoir. Four distinctive clades were found ment, and paddy soil. Cluster I-like n-damo organisms were in the 12 studied sediment samples, indicating that distinctive- present in all of the studied reservoir sediment samples (except ly different n-damo pmoA gene compositions could exist in for sample LB), and they predominated in samples LA, LD, these reservoir sediment samples. Sample LB was distantly LE, LF, UC, and UE (accounting for 50–81.3%). Cluster II Table 3 Diversity indices of each Sample Sequences OTUs Chao1 estimator Shannon index Simpson index reservoir sediment n-damo pmoA gene clone library UA 25 6 6 1.62 0.19 UB 20 7 7.3 1.75 0.16 UC 17 3 3 1.02 0.35 UD 26 13 15.5 2.34 0.09 UE 21 6 12 1.19 0.4 UF 32 7 7.5 1.65 0.2 LA 22 4 4 1.18 0.3 LB 20 1 1 0.00 1 LC 22 6 7 1.59 0.19 LD 23 6 6 1.51 0.23 LE 23 9 30 1.54 0.32 LF 26 6 9 1.36 0.3 170 Ann Microbiol (2017) 67:165–174 UE (35–56.7%), but became less abundant in samples UA and UB UD (20.8 or 27.8%). Moreover, cluster IV was a 46-member n- UF damo pmoA group. The sequences in cluster IV could be LD grouped with several uncultured wetland and lake sediment UC n-damo pmoA sequences. Sample LB was composed of only LF cluster IV-like n-damo pmoA sequences. Cluster IV-like n- LA damo pmoA sequences were also present in samples LA, LF, UA UA, UB, and UC (11.1–40%). In addition, cluster V was only LE composed of two sequences from sample UA and five from LC sample LC. They were close to uncultured wetland and paddy UB soil n-damo pmoA gene sequences. LB 020 40 60 80 100 Similarity Fig. 3 UPGMA cluster diagram of n-damo pmoA gene composition Discussion similarity values for reservoir sediment samples. Similarity levels are indicated below the diagram The presence of n-damo activity has been confirmed in fresh- water lake sediments (Deutzmann and Schink 2011; contained 43 sequence members that could be related to two Deutzmann et al. 2014), while information on n-damo activity uncultured n-damo bacterial pmoA gene sequences obtained in freshwater reservoirs is still lacking. Moreover, although from freshwater river and lake sediment ecosystems. The clus- nitrite nitrogen is one of the substrates of n-damo organisms, ter II-like n-damo pmoA group showed a relatively high pro- the effect of the nitrite nitrogen level on freshwater sediment portion in sample UD (45%), but they become much less n-damo activity has received no attention. In this study, the abundant in other reservoir sediment samples (0–27.8%). addition of nitrite nitrogen greatly improved the consumption Cluster III was the second largest n-damo pmoA group, con- of CH by reservoir sediment, which also suggested the exis- taining 51 sequences. These sequences in cluster III were tence of an n-damo process in reservoir sediment. In addition, close to uncultured n-damo pmoA gene sequences retrieved this result further suggested that the increase of nitrite nitrogen from wetland, paddy soil, freshwater lake sediment, and res- might promote sediment n-damo activity. ervoir water. The cluster III-like n-damo pmoA group showed Shen et al. (2014a) and Long et al. (2016) showed the relatively high proportions in samples LC, LD, UD, and UF variation of freshwater sediment n-damo community abun- dance with sampling location in Qiantang River and UE Dongjiang River, respectively. Liu et al. (2015)reported that - sediment n-damo bacterial abundance differed in freshwater NO -N lakes on the Yunnan Plateau. In this study, the number of sediment n-damo bacteria in the oligotrophic freshwater LC Xinfengjiang Reservoir ranged between 8.43 × 10 and LF C/N 1.03× 10 copies per gram of dry sediment, generally lower LA UC than that reported in Qiantang River and freshwater lakes on LE the Yunnan Plateau (Shen et al. 2014a; Liu et al. 2015). NH -N 4 Moreover, for both upper and lower sediments, the variation LD UA pH of sediment n-damo bacterial abundance with sampling loca- Axis 1 42.6% TOC tion was found in the Xinfengjiang Reservoir. At each sam- pling location, n-damo bacteria in the lower layer sediment UB was more abundant than the corresponding upper one. The UF TN present study provided, for the first time, that n-damo bacterial abundance varied with sediment layer depth. Biogenic meth- NO -N UD ane is produced by the activity of strictly anaerobic LB methanogens. The methane produced in deep sediment habitat can be gradually consumed by n-damo bacteria. Compared with upper layer sediment (0–5 cm), lower layer sediment -1.0 Axis 1 26.5% 1.0 (5–10 cm) might favor the growth of n-damo bacteria, which Fig. 4 RDA ordination plot for the first two principal dimensions of the might be attributed to the higher substrate methane in lower relationship between n-damo pmoA OTU composition and the environmental factors layer sediment. Axis 2 13.2% 1.0 -1.0 Ann Microbiol (2017) 67:165–174 171 LE-12 (13) (KT955829) UC-9 (9) (KU052443) LD-5 (8) (KT955809) UA-6 (7) (KU052408) sediment of West Lake (JX531975.1) LC-14 (5) (KT955804) sediment of Qiantang River (KC503652.1) LF-5 (13) (KT955836) UD-23 (2) (KU341811) sediment of Qiantang River (KC503662.1) Cluster ĉ UE-3 (13) (KU052457) UF-1 (8) (KU052470) LA-2 (3) (KT955750) wetland (KC341383.1) UB-12 (6) (KU052433) Candidatus Methylomirabilis oxyfera (FP565575.1) plateau freshwater lake sediment (KJ363750.1) LD-1 (2) (KT955805) LA-5 (9) (KT955753) paddy field soil (KF547004.1) LC-13 (3) (KT955803) UF-24 (2) (KU341826) UC-12 (4) (KU341794) 55 LF-4 (5) (KT955835) LE-18 (3) (KU052387) UA-15 (3) (KU052417) UD-18 (7) (KU341806) Cluster Ċ UB-5 (5) (KU052426) sediment of West Lake (JX531980.1) LD-3 (2) (KT955807) sediment of Qiantang River (KC503613.1) UD-14 (2) (KU341802) UE-11 (4) (KU052465) UF-16 (3) (KU052485) wetland (KC905882.1) UD-6 (2) (KU052449) UB-6 (3) (KU052427) UA-20 (5) (KU341779) LD-15 (8) (KU052375) UF-19 (10) (KU341821) wetland (KC341327.1) 99 UF-3 (7) (KU052472) UD-4 (2) (KU052447) Cluster ċ UD-12 (3) (KU341800) paddy field soil (KF546908.1) wetland (KC341542.1) UD-3 (2) (KU052446) plateau freshwater lake sediment (KJ363805.1) UB-8 (2) (KU052429) 97 LC-10 (7) (KT955800) reservoir sediment (AB930946.1) UB-9 (2) (KU052430) wetland (KC341661.1) UC-5 (4) (KU052439) LF-3 (5) (KT955834) LB-1 (20) (KT955771) Cluster Č LA-1 (8) (KT955749) freshwater lake sediment (KJ363874.1) Wetland (KC905903.1) UA-5 (7) (KU052407) paddy field soil (KF546859.1) LC-1 (5) (KT955791) Cluster č UA-8 (2) (KU052410) wetland (KC341414.1) 99 172 Ann Microbiol (2017) 67:165–174 Fig. 5 Phylogenetic tree of representative n-damo pmoA sequences and freshwater ecosystems. In this current study, the environmen- reference sequences from GenBank. The obtained pmoA sequences tal factors regulating sediment n-damo pmoA diversity in the beginning with “UA” and “LA”, “UB” and “LB”, “UC” and “LC”, Xinfengjiang Reservoir was not identified. Further efforts will “UD” and “LD”, “UE” and “LE”,and “UF” and “LF” referred to those be necessary in order to elucidate the links between n-damo retrieved from the upper layer and lower layer sediments in sampling locations A–F, respectively. The number in parentheses represents the pmoA diversity and environmental factors in freshwater sedi- numbers of the sequences in the same OTU in a given clone library. ment ecosystems. The numbers at the nodes indicate the levels of bootstrap support based So far, phylogenetic information on freshwater sediment n- on neighbor-joining analysis of 1000 resampled datasets. Values less than damo community is still very limited. Several previous studies 50 are not listed. The bar represents 1% sequence divergence indicated that n-damo pmoA gene sequences from sediment of Lake Biwa, Lake Constance, and Qiantang River were mainly related to those from known NC10 bacteria (Candidatus Shen et al. (2014a) suggested that sediment n-damo bacte- Methylomirabilis oxyfera strains) (Deutzmann and Schink rial abundance might be influenced by the level of TOC, while 2011;Kojimaet al. 2012;Shenet al. 2014a). A small propor- Long et al. (2016) also suggested that the increase of sediment tion of n-damo pmoA gene sequences obtained from one sed- NO -N level might increase the number of n-damo microor- iment sample from the Tai Lam Chung freshwater reservoir ganisms. In this study, the result of Spearman’srank correla- were also related to the pmoA gene sequence of M. oxyfera tion analysis suggested that sediment n-damo bacterial abun- (Han and Gu 2013). In the present study, the pmoA sequences dance was positively influenced by sediment pH as well as TN affiliated with M. oxyfera were the largest n-damo pmoA and NO -N. This also further confirmed the role of substrate group in sediments of the Xinfengjiang Reservoir. However, NO -N in determining sediment n-damo bacterial abun- most of the obtained n-damo pmoA gene sequences from sed- dance. In addition, the environmental factors regulating sedi- iments of the Xinfengjiang Reservoir showed no close rela- ment n-damo bacterial abundance could differ in various tionship to those from any known NC10 species. This was freshwaters. also consistent with the results of previous investigations on Han and Gu (2013) reported a Shannon index of 1.89 for sediments in Dongjiang River (Long et al. 2016) and lakes on one sediment sample from the Tai Lam Chung freshwater the Yunnan Plateau (Liu et al. 2015). In addition, the pmoA reservoir of Hong Kong. Several recent studies further docu- sequences obtained in the study were related to those from mented the spatial shift in the n-damo pmoA gene diversity in diverse ecosystems, such as reservoir, lake, and river sedi- freshwater ecosystems, including Qiantang River (Shannon ments, and wetland and paddy soils. This suggested that n- index = 0–1.98) (Shen et al. 2014a), Dongjiang River (0– damo organisms might adapt to a variety of habitats and the n- 2.58) (Long et al. 2016), and lakes on the Yunnan Plateau damo organisms detected in one type of habitat might occur in other types of habitats. (0–2.4) (Liu et al. 2015). In the present study, the presence of the n-damo pmoA gene was detected in all of the 12 reser- The spatial variation of freshwater sediment n-damo com- voir sediment samples that were obtained from six different munity structure with sampling location has been found in sampling locations (A–F) and two sediment depths (0–5cm, Qiantang River (Shen et al. 2014a), Dongjiang River (Long 5–10 cm) in the freshwater Xinfengjiang Reservoir. The value et al. 2016), and lakes on the Yunnan Plateau (Liu et al. 2015). of the Shannon index ranged between 1.02 and 2.34 in upper In this study, the results of both UPGMA clustering and phy- layer sediment samples and 0 and 1.59 in lower layer sediment logenetic analysis indicated that sediment n-damo pmoA com- samples, illustrating the remarkable variation of n-damo pmoA position in the Xinfengjiang Reservoir spatially varied. To diversity with sampling location. This was in agreement with date, little is known about the environmental factors driving the results found in other freshwater sediments (Shen et al. freshwater sediment n-damo community structure. Shen et al. 2014a; Liu et al. 2015;Long etal. 2016). (2014a) suggested that sediment NH -N and total inorganic So far, the environmental factors regulating freshwater sed- nitrogen might be the key determinants of n-damo community iment n-damo bacterial or pmoA gene diversity remain essen- structure in Qiantang River, while sediment NO -N as well tially unknown. Shen et al. (2014a) suggested that NH -N as C/N might influence n-damo community structure in and total inorganic nitrogen might affect n-damo bacterial Dongjiang River (Long et al. 2016). These two previous stud- diversity in Qiantang River, while sediment C/N might play ies suggested that the environmental factors governing sedi- an important role in shaping n-damo pmoA diversity in fresh- ment n-damo community structure could differ in various water lakes on the Yunnan Plateau (Liu et al. 2015). Long freshwater ecosystems. In this study, there were no obvious et al. (2016) indicated that both NO -N and C/N were nega- links between the determined environmental parameters and tively correlated to n-damo pmoA diversity in Dongjiang n-damo pmoA composition in the Xinfengjiang Reservoir. River. These previous studies reported the different results. 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Journal
Annals of Microbiology – Springer Journals
Published: Dec 10, 2016