Vertical stratification of subsurface microbial community composition across geological formations at the Hanford Site

Microbial diversity in subsurface sediments at the Hanford Site 300 Area near Richland, Washington state (USA) was investigated by analysing 21 samples recovered from depths of 9-52?m. Approximately 8000 near full-length 16S rRNA gene sequences were analysed across geological strata that include a natural redox transition zone. These strata included the oxic coarse-grained Hanford formation, fine-grained oxic and anoxic Ringold Formation sediments, and the weathered basalt group. We detected 1233 and 120 unique bacterial and archaeal OTUs (operational taxonomic units at the 97% identity level) respectively. Microbial community structure and richness varied substantially across the different geological strata. Bacterial OTU richness (Chao1 estimator) was highest (>?700) in the upper Hanford formation, and declined to about 120 at the bottom of the Hanford formation. Just above the Ringold oxic-anoxic interface, richness was about 325 and declined to less than 50 in the deeper reduced zones. The deeper Ringold strata were characterized by a preponderance (c. 90%) of Proteobacteria. The bacterial community in the oxic sediments contained not only members of nine well-recognized phyla but also an unusually high proportion of three candidate divisions (GAL15, NC10 and SPAM). Additionally, 13 novel phylogenetic orders were identified within the Deltaproteobacteria, a clade rich in microbes that carry out redox transformations of metals that are important contaminants on the Hanford Site.     

Comparison of bacterial communities in the Solimões and Negro River tributaries of the Amazon River based on small subunit rRNA gene sequences

The microbiota of the Amazon River basin has been little studied. We compared the structure of bacterial communities of the Solim?es and Negro Rivers, the main Amazon River tributaries, based on analysis of 16S rRNA gene sequences. Water was sampled with a 3-L Van Dorn collection bottle; samples were collected at nine different points/depths totaling 27 L of water from each river. Total DNA was extracted from biomass retained by a 0.22-μm filter after sequential filtration of the water through 0.8- and 0.22-μm filters. The 16S rRNA gene was amplified by PCR, cloned and sequenced, and the sequences were analyzed with the PHYLIP and DOTUR programs to obtain the operational taxonomic units (OTUs) and to calculate the diversity and richness indices using the SPADE program. Taxonomic affiliation was determined using the naive Bayesian rRNA Classifier of the RDP II (Ribosomal Database Project). We recovered 158 sequences from the Solim?es River grouped into 103 OTUs, and 197 sequences from the Negro River library grouped into 90 OTUs by the DOTUR program. The Solim?es River was found to have a greater diversity of bacterial genera, and greater estimated richness of 446 OTUs, compared with 242 OTUs from the Negro River, as calculated by ACE estimator. The Negro River has less bacterial diversity, but more 16S rRNA gene sequences belonging to the bacterial genus Polynucleobacter were detected; 56 sequences from this genus were found (about 30% of the total sequences). We suggest that a more in-depth investigation be made to elucidate the role played by these bacteria in the river environment. These differences in bacterial diversity between Solim?es and Negro Rivers could be explained by differences in organic matter content and pH of the rivers.     

Impact of flooding on soil bacterial communities associated with poplar (Populus sp.) trees

Soil bacterial communities were analyzed in different habitats (bulk soil, rhizosphere, rhizoplane) of poplar tree microcosms (Populus tremulaxP. alba) using cultivation-independent methods. The roots of poplar trees regularly experience flooded and anoxic conditions. Therefore, we also determined the effect of flooding on microbial communities in microcosm experiments. Total community DNA was extracted and bacterial 16S rRNA genes were amplified by PCR and analyzed by terminal restriction fragment length polymorphism (T-RFLP) analysis, cloning and sequencing. Clone libraries were created from all three habitats under both unflooded and flooded conditions resulting in a total of 281 sequences. Numbers of different sequences (<97% similarity) in the different habitats represented 16-55% of total bacterial species richness determined from the nonparametric richness estimator Chao1. According to the number of different terminal restriction fragments (T-RFs), all of the different habitats contained approximately 20 different operational taxonomic units (OTUs), except the flooded rhizoplane habitat whose community contained less OTUs. Results of cloning and T-RFLP analysis generally supported each other. Correspondence analysis of T-RFLP patterns showed that the bacterial communities were different in bulk soil, rhizosphere and rhizoplane and changed upon flooding. For example OTUs representing Bacillus sp. were highest in the unflooded bulk soil and rhizosphere. Sequences related to Aquaspirillum, in contrast, were predominant on the poplar roots and in the rhizosphere of flooded microcosms but were rarely found in the other habitats.     

Reef-associated crustacean fauna: biodiversity estimates using semi-quantitative sampling and DNA barcoding

The cryptofauna associated with coral reefs accounts for a major part of the biodiversity in these ecosystems but has been largely overlooked in biodiversity estimates because the organisms are hard to collect and identify. We combine a semi-quantitative sampling design and a DNA barcoding approach to provide metrics for the diversity of reef-associated crustacean. Twenty-two similar-sized dead heads of Pocillopora were sampled at 10 m depth from five central Pacific Ocean localities (four atolls in the Northern Line Islands and in Moorea, French Polynesia). All crustaceans were removed, and partial cytochrome oxidase subunit I was sequenced from 403 individuals, yielding 135 distinct taxa using a species-level criterion of 5% similarity. Most crustacean species were rare; 44% of the OTUs were represented by a single individual, and an additional 33% were represented by several specimens found only in one of the five localities. The Northern Line Islands and Moorea shared only 11 OTUs. Total numbers estimated by species richness statistics (Chao1 and ACE) suggest at least 90 species of crustaceans in Moorea and 150 in the Northern Line Islands for this habitat type. However, rarefaction curves for each region failed to approach an asymptote, and Chao1 and ACE estimators did not stabilize after sampling eight heads in Moorea, so even these diversity figures are underestimates. Nevertheless, even this modest sampling effort from a very limited habitat resulted in surprisingly high species numbers.     

Testing species richness estimation methods using museum label data on the Danish Asilidae

Museum collections are treasure troves of biodiversity information thatcan potentially be used for species richness estimation. Using label data on theDanish Asilidae (Diptera), we test eight species richness estimation techniques(abundance-based coverage estimator (ACE), ICE, Chao1, Chao2, first and secondorder Jackknife, Bootstrap and MMMeans) by comparing the estimates to the numberof species likely to occur in Denmark based on distributional information,expert opinion, and a species–area curve. We are investigating which ofthe estimators are most suited for the task. Furthermore, through theuse of four different subsampling schemes we study which kind of label information isnecessary in order to apply these estimation procedures. The first and secondorder Jackknife estimators yield the most accurate estimate of the number ofcollectable species in Denmark, while ACE, Bootstrap and Chao1 only provideslight improvements over observed values. We find that all estimatorsunderestimate the true diversity of Danish Asilidae and speculate that thisperformance is due to a discrepancy between the total and the collectable faunain the region. Finally, we discuss the implications for species richnessestimation and emphasize that for most terrestrial arthropod taxa thesediscrepancies are of such a magnitude that estimated species richness values maybe dangerously low and of limited use in conservation decision making.     

Massively parallel rRNA gene sequencing exacerbates the potential for biased community diversity comparisons due to variable library sizes

Technologies for massively parallel sequencing are revolutionizing microbial ecology and are vastly increasing the scale of ribosomal RNA (rRNA) gene studies. Although pyrosequencing has increased the breadth and depth of possible rRNA gene sampling, one drawback is that the number of reads obtained per sample is difficult to control. Pyrosequencing libraries typically vary widely in the number of sequences per sample, even within individual studies, and there is a need to revisit the behaviour of richness estimators and diversity indices with variable gene sequence library sizes. Multiple reports and review papers have demonstrated the bias in non-parametric richness estimators (e.g. Chao1 and ACE) and diversity indices when using clone libraries. However, we found that biased community comparisons are accumulating in the literature. Here we demonstrate the effects of sample size on Chao1, ACE, CatchAll, Shannon, Chao-Shen and Simpson's estimations specifically using pyrosequencing libraries. The need to equalize the number of reads being compared across libraries is reiterated, and investigators are directed towards available tools for making unbiased diversity comparisons.     

A meta-analysis of the microbial diversity observed in anaerobic digesters

In this study, the collective microbial diversity in anaerobic digesters was examined using a meta-analysis approach. All 16S rRNA gene sequences recovered from anaerobic digesters available in public databases were retrieved and subjected to phylogenetic and statistical analyses. As of May 2010, 16,519 bacterial and 2869 archaeal sequences were found in GenBank. The bacterial sequences were assigned to 5926 operational taxonomic units (OTUs, based on ?97% sequence identity) representing 28 known bacterial phyla, with Proteobacteria (1590 OTUs), Firmicutes (1352 OTUs), Bacteroidetes (705 OTUs), and Chloroflexi (693 OTUs) being predominant. Archaeal sequences were assigned to 296 OTUs, primarily Methanosaeta and the uncharacterized WSA2 group. Nearly 60% of all sequences could not be classified to any established genus. Rarefaction analysis indicates that approximately 60% of bacterial and 90% of archaeal diversity in anaerobic digesters has been sampled. This analysis of the global bacterial and archaeal diversity in AD systems can guide future studies to further examine the microbial diversity involved in AD and development of comprehensive analytical tools.     

马尾松根生产苗与常规苗外生菌根真菌多样性特征

以湖南省林业科学院龙伏试验基地3年生常规方法培养的马尾松苗Pinus massoniana（以下简称常规苗）和3年生马尾松根生产（root production method,RPM）苗根、根际土为研究对象,采用 Illumina MiSeq 测序技术研究其根系及根际土壤外生菌根真菌（ectomycorrhizal fungi,ECMF）群落结构特征,旨在探明其土壤微生境的差异,进而为人工接种菌根真菌及改良常规苗的土壤微生境奠定基础。测序共获得170 148条ECMF序列,划分为20个OTUs（operational taxonomic units,OTU）,隶属于2门、3纲、7目、8科、11属。Chao1丰富度指数、Ace丰富度指数、Simpson多样性指数与Shannon-Wiener多样性指数均表现为常规苗根际土的OTUs丰富度高于RPM苗根际土,并且根样OTUs丰富度低于根际土样（P<0.05）。不同样品的ECMF优势属占比也不同,RPM苗根样中占比最大的为Amphinema（47.89%）,常规苗根样为Tomentella（70.60%）;RPM苗土样中占比最大的为Tylospora（62.33%）,常规苗土样为Tomentella（55.69%）。冗余分析表明,土壤pH值对ECMF的影响程度最大,其次为速效磷和有机质;同时,不同理化因子对群落多样性指数及优势属的影响也存在差异。     

Archaeal communities associated with shallow to deep subseafloor sediments of the New Caledonia Basin

The distribution of the archaeal communities in deep subseafloor sediments [0–36 m below the seafloor (mbsf)] from the New Caledonia and Fairway Basins was investigated using DNA- and RNA-derived 16S rRNA clone libraries, functional genes and denaturing gradient gel electrophoresis (DGGE). A new method, Co-Migration DGGE (CM-DGGE), was developed to access selectively the active archaeal diversity. Prokaryotic cell abundances at the open-ocean sites were on average ∼3.5 times lower than at a site under terrestrial influence. The sediment surface archaeal community (0–1.5 mbsf) was characterized by active Marine Group 1 (MG-1) Archaea that co-occurred with ammonia monooxygenase gene ( amoA ) sequences affiliated to a group of uncultured sedimentary Crenarchaeota . However, the anoxic subsurface methane-poor sediments (below 1.5 mbsf) were dominated by less active archaeal communities, such as the Thermoplasmatales , Marine Benthic Group D and other lineages probably involved in the methane cycle ( Methanosarcinales , ANME-2 and DSAG/MBG-B). Moreover, the archaeal diversity of some sediment layers was restricted to only one lineage (Uncultured Euryarchaeota , DHVE6, MBG-B, MG-1 and SAGMEG). Sequences forming two clusters within the Thermococcales order were also present in these cold subseafloor sediments, suggesting that these uncultured putative thermophilic archaeal communities might have originated from a different environment. This study shows a transition between surface and subsurface sediment archaeal communities.     

A few cosmopolitan phylotypes dominate planktonic archaeal assemblages in widely different oceanic provinces

We compared the phylogenetic compositions of marine planktonic archaeal populations in different marine provinces. Samples from eight different environments were collected at two depths (surface and aphotic zone), and 16 genetic libraries of PCR-amplified archaeal 16S rRNA genes were constructed. The libraries were analyzed by using a three-step hierarchical approach. Membrane hybridization experiments revealed that most of the archaeal clones were affiliated with one of the two groups of marine archaea described previously, crenarchaeotal group I and euryarchaeotal group II. One of the 2,328 ribosomal DNA clones analyzed was related to a different euryarchaeal lineage, which was recently recovered from deep-water marine plankton. In temperate regions (Pacific Ocean, Atlantic Ocean, and Mediterranean Sea) both major groups were found at the two depths investigated; group II predominated at the surface, and group I predominated at depth. In Antarctic and subantarctic waters group II was practically absent. The clonal compositions of archaeal libraries were investigated by performing a restriction fragment length polymorphism (RFLP) analysis with two tetrameric restriction enzymes, which defined discrete operational taxonomic units (OTUs). The OTUs defined in this way were phylogenetically consistent; clones belonging to the same OTU were closely related. The clonal diversity as determined by the RFLP analysis was low, and most libraries were dominated by only one or two OTUs. Some OTUs were found in samples obtained from very distant places, indicating that some phylotypes were ubiquitous. A tree containing one example of each OTU detected was constructed, and this tree revealed that there were several clusters within archaeal group I and group II. The members of some of these clusters had different depth distributions.     

新疆天山北坡不同盐湖微生物菌群结构及其影响因子

新疆分布的众多湖泊由于干旱气候成盐作用强烈,近半数已演化到盐湖发展阶段,不同盐湖中也因此蕴含着丰富的耐盐及嗜盐微生物资源。为更好的掌握新疆盐湖微生物资源分布规律及对环境因子变化的响应规律,利用高通量测序技术对新疆天山北坡5个不同演化阶段盐湖湖底沉积物中细菌、古菌多样性和菌群结构及其主要驱动因子进行研究,探讨盐湖演化过程中原核微生物群落结构变化规律。分别采集5个盐湖湖底沉积物样本,进行理化因子测试与细菌和古菌16S rRNA扩增子测序分析,比较不同盐湖理化性质和原核微生物菌群差异,并对原核微生物丰度与环境因子进行关联分析。实验结果表明：5个盐湖湖底沉积物总盐和Na⁺含量顺序为：巴里坤湖 > 伊吾湖 > 艾比湖 > 盐湖 > 柴窝堡湖,除艾比湖外其他四个盐湖沉积物均呈碱性。Alpha多样性结果显示5个盐湖细菌richness、chao1、ACE和shannon丰富度指数均大于古菌相应丰富度指数,不同盐湖细菌丰富度指数差异较大,古菌丰富度指数差异相对较小。从5个盐湖湖底沉积物中共检测获得细菌58门、68纲、138目、253科和560属,古菌4门、8纲、12目、21科和60属,细菌以变形菌门为主,古菌以广古菌门为主。不同盐湖细菌和古菌优势属种类均不相同,巴里坤湖主要是一些嗜盐和耐盐细菌属,而伊吾湖主要是嗜盐和耐盐古菌属,PCoA分析结果也表明不同盐湖微生物在OTUs水平有其独特菌群结构类型。RDA和Bioenv分析结果表明,盐湖湖底沉积物中微生物菌群群落结构主要受Na⁺和总盐（TS）浓度的影响,对细菌菌群结构影响较大,而古菌菌群结构可能受多种理化因子共同调节。此外,盐湖特殊卤水成分会对微生物群落结构产生重大影响。     

A Few Cosmopolitan Phylotypes Dominate Planktonic Archaeal Assemblages in Widely Different Oceanic Provinces

We compared the phylogenetic compositions of marine planktonic archaeal populations in different marine provinces. Samples from eight different environments were collected at two depths (surface and aphotic zone), and 16 genetic libraries of PCR-amplified archaeal 16S rRNA genes were constructed. The libraries were analyzed by using a three-step hierarchical approach. Membrane hybridization experiments revealed that most of the archaeal clones were affiliated with one of the two groups of marine archaea described previously, crenarchaeotal group I and euryarchaeotal group II. One of the 2,328 ribosomal DNA clones analyzed was related to a different euryarchaeal lineage, which was recently recovered from deep-water marine plankton. In temperate regions (Pacific Ocean, Atlantic Ocean, and Mediterranean Sea) both major groups were found at the two depths investigated; group II predominated at the surface, and group I predominated at depth. In Antarctic and subantarctic waters group II was practically absent. The clonal compositions of archaeal libraries were investigated by performing a restriction fragment length polymorphism (RFLP) analysis with two tetrameric restriction enzymes, which defined discrete operational taxonomic units (OTUs). The OTUs defined in this way were phylogenetically consistent; clones belonging to the same OTU were closely related. The clonal diversity as determined by the RFLP analysis was low, and most libraries were dominated by only one or two OTUs. Some OTUs were found in samples obtained from very distant places, indicating that some phylotypes were ubiquitous. A tree containing one example of each OTU detected was constructed, and this tree revealed that there were several clusters within archaeal group I and group II. The members of some of these clusters had different depth distributions.     

Phylogenetic diversity of bacteria in the Arctic Ocean sediments neighboring the Bering Strait

To expand investigations and insights into the phylogenetic diversity of bacteria inhibiting seafloor biosphere, six Arctic Ocean sediments neighboring the Bering Strait were sampled and their bacterial diversities were investigated by pyrosequencing of 16S rRNA genes. A total of 157,454 trimed sequences were obtained, resulting in 9413 OTUs at the 97% sequence identity (OTU_3%). This pyrosequencing allowed detection of higher than 85% of richness estimator Chao1 and Ace at the OTU_3% level. Higher coverage (≥0.97) and much less of rare types (singletons, only accounting for 24.5% of all OTU_3%) indicated that this pyrosequencing recovered most of bacteria inhabiting these biospheres. At the phylum level, the high relative sequence abundance (42.0% to 63.3%) showed that Proteobacteria was the dominant member at all these sampling sites. At the class level, Deltaproteobacteria, Gammaproteobacteria, and Flavobacteriia composed the majority of bacterial communities, and the relative abundance of Cyanobacteria and Bacilli varied significantly among the six samples. At the genus level, abundant OTUs related with sulfate reduction, including Desulfobulbus and Desulforhopalus, were identified. Shared and unique OTUs analysis revealed that, at the OTU_3% level, 508 OTUs were shared by all the six samples, and the number of unique OTUs ranged from 98 (R02) to 195 (NB04). Principal coordinates analysis PCoA analysis revealed that samples C04 and NB04 had the similar communities and were distinct from the others. Canonical correspondence analysis (CCA) revealed that temperature was the most significant factors that correlated with the bacterial community composition. The differences in bacterial compositions and diversities indicate that the similar sediment habitats contain a large variation in microbial biodiversity.     

Diversity of bacteriocins in the microbiome of the Tucuruí Hydroelectric Power Plant water reservoir and three-dimensional structure prediction of a zoocin

Bacteriocins are antimicrobial peptides expressed by bacteria through ribosomal activity. In this study, we analyzed the diversity of bacteriocin-like genes in the Tucuruí-HPP using a whole-metagenome shotgun sequencing approach. Three layers of the water column were analyzed (photic, aphotic and sediment). Detection of bacteriocin-like genes was performed with blastx using the BAGEL4 database as subject sequences. In order to calculate the abundance of bacteriocin-like genes we also determined the number of 16S rRNA genes using blastn. Taxonomic analysis was performed using RAST server and the metagenome was assembled using IDBA-UD in order to recover the full sequence of a zoocin which had its three-dimensional structure determined. The photic zone presented the highest number of reads affiliated to bacteriocins. The most abundant bacteriocins were sonorensin, Klebicin D , pyocin and colicin. The zoocin model was composed of eight anti-parallel β-sheets and two α-helices with a Zn²⁺ ion in the active site. This model was considerably stable during 10 ns of molecular dynamics simulation. We observed a high diversity of bacteriocins in the Tucuruí-HPP, demonstrating that the environment is an inexhaustible source for prospecting these molecules. Finally, the zoocin model can be used for further studies of substrate binding and molecular mechanisms involving peptidoglycan degradation.     

PCR biases distort bacterial and archaeal community structure in pyrosequencing datasets

As 16S rRNA gene targeted massively parallel sequencing has become a common tool for microbial diversity investigations, numerous advances have been made to minimize the influence of sequencing and chimeric PCR artifacts through rigorous quality control measures. However, there has been little effort towards understanding the effect of multi-template PCR biases on microbial community structure. In this study, we used three bacterial and three archaeal mock communities consisting of, respectively, 33 bacterial and 24 archaeal 16S rRNA gene sequences combined in different proportions to compare the influences of (1) sequencing depth, (2) sequencing artifacts (sequencing errors and chimeric PCR artifacts), and (3) biases in multi-template PCR, towards the interpretation of community structure in pyrosequencing datasets. We also assessed the influence of each of these three variables on α- and β-diversity metrics that rely on the number of OTUs alone (richness) and those that include both membership and the relative abundance of detected OTUs (diversity). As part of this study, we redesigned bacterial and archaeal primer sets that target the V3-V5 region of the 16S rRNA gene, along with multiplexing barcodes, to permit simultaneous sequencing of PCR products from the two domains. We conclude that the benefits of deeper sequencing efforts extend beyond greater OTU detection and result in higher precision in β-diversity analyses by reducing the variability between replicate libraries, despite the presence of more sequencing artifacts. Additionally, spurious OTUs resulting from sequencing errors have a significant impact on richness or shared-richness based α- and β-diversity metrics, whereas metrics that utilize community structure (including both richness and relative abundance of OTUs) are minimally affected by spurious OTUs. However, the greatest obstacle towards accurately evaluating community structure are the errors in estimated mean relative abundance of each detected OTU due to biases associated with multi-template PCR reactions.     

Hydrogen production potential of fermentative microorganisms from the Sargasso Sea

Mounting evidence suggests that ammonia-oxidizing archaea (AOA) may play important roles in nitrogen cycling in geothermal environments. In this study, the diversity, distribution and ecological significance of AOA in terrestrial hot springs in Kamchatka (Far East Russia) were explored using amoA genes complemented by analysis of glycerol dialkyl glycerol tetraethers (GDGTs) of archaea. PCR amplification of functional genes (amoA) from AOA and ammonia-oxidizing bacteria (AOB) was performed on microbial mats/streamers and sediments collected from three hot springs (42°C to 87°C and pH 5.5-7.0). No amoA genes of AOB were detected. The amoA genes of AOA formed three distinct phylogenetic clusters with Cluster 3 representing the majority (～59%) of OTUs. Some of the sequences from Cluster 3 were closely related to those from acidic soil environments, which is consistent with the predominance of low pH (<7.0) in these hot springs. Species richness (estimated by Chao1) was more frequently higher at temperatures below 75°C than above it, indicating that AOA may be favored in the moderately high temperature environments. Quantitative PCR of 16S rRNA genes showed that crenarchaeota counted for up to 80% of total archaea. S-LIBSHUFF separated all samples into two phylogenetic groups. The profiles of GDGTs were well separated among the studied springs, suggesting a spatial patterning of archaeal lipid biomarkers. However, this patterning did not correlate significantly with variation in archaeal amoA, suggesting that AOA are not the predominant archaeal group in these springs producing the observed GDGTs.     

Bacterial and archaeal communities inhabiting mussels,sediment and water in Indonesian anchialine lakes

Anchialine lakes are a globally rare and unique ecosystem consisting of saline lakes surrounded by land and isolated from the surrounding marine environment. These lakes host a unique flora and fauna including numerous endemic species. Relatively few studies have, however, studied the prokaryote communities present in these lakes and compared them with the surrounding ‘open water’ marine environment. In the present study, we used a 16S rRNA gene barcoded pyrosequencing approach to examine prokaryote (Bacteria and Archaea) composition in three distinct biotopes (sediment, water and the mussel Brachidontes sp.) inhabiting four habitats, namely, three marine lakes and the surrounding marine environment of Berau, Indonesia. Biotope and habitat proved significant predictors of variation in bacterial and archaeal composition and higher taxon abundance. Most bacterial sequences belonged to OTUs assigned to the Proteobacteria. Compared to sediment and water, mussels had relatively high abundances of the classes Mollicutes and Epsilonproteobacteria. Most archaeal sequences, in turn, belonged to OTUs assigned to the Crenarchaeota with the relative abundance of crenarchaeotes highest in mussel samples. For both Bacteria and Archaea, the main variation in composition was between water samples on the one hand and sediment and mussel samples on the other. Sediment and mussels also shared much more OTUs than either shared with water. Abundant bacterial OTUs in mussels were related to organisms previously obtained from corals, oysters and the deepsea mussel Bathymodiolus manusensis. Abundant archaeal OTUs in mussels, in contrast, were closely related to organisms previously obtained from sediment.     

Investigation of the FeFe-hydrogenase gene diversity combined with phylogenetic microbial community analysis of an anaerobic domestic sewage sludge

Biological hydrogen production through the anaerobic digestion is an environmental friendly alternative for satisfying future hydrogen demands. Microorganisms residing into waste water treatment plants are far from being exhaustively characterized and surveys on hydrogen production through FeFe-hydrogenase in such ecosystems are scarce. This study combined the analysis of 16S rRNA and [FeFe]-hydrogenase (hydA) genes with statistical tools to estimate richness and diversity of the microbial community of a domestic sewage treatment plant at the phylogenetic and functional levels. Archaeal groups were represented by 69 % of sequences assigned to Methanosarcinales and the remaining belonged to Methanomicrobiales. Within the bacterial library, 136 operational taxonomic units (OTUs) were distributed into 9 phyla, being 86 OTUs related to uncultivated bacteria. From these, 25 OTUs represented potential novel taxa within Synergistetes. Proteobacteria was the most predominant (36 % of the OTUs) and diversified phylogenetic group in the bacterial library, most of them assigned to the class Betaproteobacteria. Twenty-two putative hydA sequences were recovered into four distinct clusters and most of them were more closely related to each other than with sequences retrieved from databases, indicating they are hitherto undetected [Fe–Fe]-hydrogenase gene sequences. The richness estimates revealed that the number of sampled sequences was enough for full coverage of the archaeal diversity but not sufficient to cover both bacterial and hydA gene diversities. The results confirmed a great richness and diversity of bacterial and hydA sequences retrieved from the sewage sludge sample, suggesting such environment as a potential reservoir of new hydrogenase genes for biotechnological exploration.     

Metagenomic and Small-Subunit rRNA Analyses Reveal the Genetic Diversity of Bacteria, Archaea, Fungi, and Viruses in Soil

Recent studies have highlighted the surprising richness of soil bacterial communities; however, bacteria are not the only microorganisms found in soil. To our knowledge, no study has compared the diversities of the four major microbial taxa, i.e., bacteria, archaea, fungi, and viruses, from an individual soil sample. We used metagenomic and small-subunit RNA-based sequence analysis techniques to compare the estimated richness and evenness of these groups in prairie, desert, and rainforest soils. By grouping sequences at the 97% sequence similarity level (an operational taxonomic unit [OTU]), we found that the archaeal and fungal communities were consistently less even than the bacterial communities. Although total richness levels are difficult to estimate with a high degree of certainty, the estimated number of unique archaeal or fungal OTUs appears to rival or exceed the number of unique bacterial OTUs in each of the collected soils. In this first study to comprehensively survey viral communities using a metagenomic approach, we found that soil viruses are taxonomically diverse and distinct from the communities of viruses found in other environments that have been surveyed using a similar approach. Within each of the four microbial groups, we observed minimal taxonomic overlap between sites, suggesting that soil archaea, bacteria, fungi, and viruses are globally as well as locally diverse.     

Status of the phylogenetic diversity census of ruminal microbiomes

In this study, the collective microbial diversity in the rumen was examined by performing a meta-analysis of all the curated 16S rRNA gene (rrn) sequences deposited in the RDP database. As of November 2010, 13,478 bacterial and 3516 archaeal rrn sequences were found. The bacterial sequences were assigned to 5271 operation taxonomic units (OTUs) at species level (0.03 phylogenetic distance) representing 19 existing phyla, of which the Firmicutes (2958 OTUs), Bacteroidetes (1610 OTUs) and Proteobacteria (226 OTUs) were the most predominant. These bacterial sequences were grouped into more than 3500 OTUs at genus level (0.05 distance), but only 180 existing genera were represented. Nearly all the archaeal sequences were assigned to 943 species-level OTUs in phylum Euryarchaeota. Although clustered into 670 genus-level OTUs, only 12 existing archaeal genera were represented. Based on rarefaction analysis, the current percent coverage at species level reached 71% for bacteria and 65% for archaea. At least 78,218 bacterial and 24,480 archaeal sequences would be needed to reach 99.9% coverage. The results of this study may serve as a framework to assess the significance of individual populations to rumen functions and to guide future studies to identify the alpha and global diversity of ruminal microbiomes.