Salt marsh sediment diversity: a test of the variability of the rare biosphere among environmental replicates

Much of the phylogenetic diversity in microbial systems arises from rare taxa that comprise the long tail of taxon rank distribution curves. This vast diversity presents a challenge to testing hypotheses about the effects of perturbations on microbial community composition because variability of rare taxa among environmental replicates may be sufficiently large that it would require a prohibitive degree of sequencing to discern differences between samples. In this study we used pyrosequencing of 16S rRNA tags to examine the diversity and within-site variability of salt marsh sediment bacteria. Our goal was to determine whether pyrosequencing could produce similar patterns in community composition among replicate environmental samples from the same location. We hypothesized that repeated sampling from the same location would produce different snapshots of the rare community due to incomplete sequencing of the taxonomically rich rare biosphere. We demonstrate that the salt marsh sediments we sampled contain a remarkably diverse array of bacterial taxa and, in contrast to our hypothesis, repeated sampling from within the same site produces reliably similar patterns in bacterial community composition, even among rare organisms. These results demonstrate that deep sequencing of 16s tags is well suited to distinguish site-specific similarities and differences among rare taxa and is a valuable tool for hypothesis testing in microbial ecology.     

Improving the genetic representation of rare taxa within complex microbial communities using DNA normalization methods

Complex microbial communities typically contain a large number of low abundance species, which collectively, comprise a considerable proportion of the community. This ‘rare biosphere’ has been speculated to contain keystone species and act as a repository of genomic diversity to facilitate community adaptation. Many environmental microbes are currently resistant to cultivation, and can only be accessed via culture‐independent approaches. To enhance our understanding of the role of the rare biosphere, we aimed to improve their metagenomic representation using DNA normalization methods, and assess normalization success via shotgun DNA sequencing. A synthetic metagenome was constructed from the genomic DNA of five bacterial species, pooled in a defined ratio spanning three orders of magnitude. The synthetic metagenome was fractionated and thermally renatured, allowing the most abundant sequences to hybridize. Double‐stranded DNA was removed either by hydroxyapatite chromatography, or by a duplex‐specific nuclease (DSN). The chromatographic method failed to enrich for the genomes present in low starting abundance, whereas the DSN method resulted in all genomes reaching near equimolar abundance. The representation of the rarest member was increased by approximately 450‐fold. De novo assembly of the normalized metagenome enabled up to 18.0% of genes from the rarest organism to be assembled, in contrast to the un‐normalized sample, where genes were not able to be assembled at the same sequencing depth. This study has demonstrated that the application of normalization methods to metagenomic samples is a powerful tool to enrich for sequences from rare taxa, which will shed further light on their ecological niches.     

Unexpected biodiversity of ciliates in marine samples from below the photic zone

Marine microbial eukaryotes play critical roles in planktonic food webs and have been described as most diverse in the photic zone where productivity is high. We used high‐throughput sequencing (HTS) to analyse the spatial distribution of planktonic ciliate diversity from shallow waters (<30 m depth) to beyond the continental shelf (>800 m depth) along a 163 km transect off the coast of New England, USA. We focus on ciliates in the subclasses Oligotrichia and Choreotrichia (class Spirotrichea), as these taxa are major components of marine food webs. We did not observe the decrease of diversity below the photic zone expected based on productivity and previous analyses. Instead, we saw an increase of diversity with depth. We also observed that the ciliate communities assessed by HTS cluster by depth layer and degree of water column stratification, suggesting that community assembly is driven by environmental factors. Across our samples, abundant OTUs tend to match previously characterized morphospecies while rare OTUs are more often undescribed, consistent with the idea that species in the rare biosphere remain to be characterized by microscopy. Finally, samples taken below the photic zone also reveal the prevalence of two uncharacterized (i.e. lacking sequenced morphospecies) clades – clusters X₁ and X₂ – that are enriched within the nano‐sized fraction (2–10 μm) and are defined by deletions within the region of the SSU‐rDNA analysed here. Together, these data reinforce that we still have much to learn about microbial diversity in marine ecosystems, especially in deep‐waters that may be a reservoir for rare species and uncharacterized taxa.     

Ecological Inferences from a deep screening of the Complex Bacterial Consortia associated with the coral,Porites astreoides

The functional role of the bacterial organisms in the reef ecosystem and their contribution to the coral well‐being remain largely unclear. The first step in addressing this gap of knowledge relies on in‐depth characterization of the coral microbial community and its changes in diversity across coral species, space and time. In this study, we focused on the exploration of microbial community assemblages associated with an ecologically important Caribbean scleractinian coral, Porites astreoides, using Illumina high‐throughput sequencing of the V5 fragment of 16S rRNA gene. We collected data from a large set of biological replicates, allowing us to detect patterns of geographical structure and resolve co‐occurrence patterns using network analyses. The taxonomic analysis of the resolved diversity showed consistent and dominant presence of two OTUs affiliated with the order Oceanospirillales, which corroborates a specific pattern of bacterial association emerging for this coral species and for many other corals within the genus Porites. We argue that this specific association might indicate a symbiotic association with the adult coral partner. Furthermore, we identified a highly diverse rare bacterial ‘biosphere’ (725 OTUs) also living along with the dominant bacterial symbionts, but the assemblage of this biosphere is significantly structured along the geographical scale. We further discuss that some of these rare bacterial members show significant association with other members of the community reflecting the complexity of the networked consortia within the coral holobiont.     

Ironing out the wrinkles in the rare biosphere through improved OTU clustering

Deep sequencing of PCR amplicon libraries facilitates the detection of low‐abundance populations in environmental DNA surveys of complex microbial communities. At the same time, deep sequencing can lead to overestimates of microbial diversity through the generation of low‐frequency, error‐prone reads. Even with sequencing error rates below 0.005 per nucleotide position, the common method of generating operational taxonomic units (OTUs) by multiple sequence alignment and complete‐linkage clustering significantly increases the number of predicted OTUs and inflates richness estimates. We show that a 2% single‐linkage preclustering methodology followed by an average‐linkage clustering based on pairwise alignments more accurately predicts expected OTUs in both single and pooled template preparations of known taxonomic composition. This new clustering method can reduce the OTU richness in environmental samples by as much as 30–60% but does not reduce the fraction of OTUs in long‐tailed rank abundance curves that defines the rare biosphere.     

Impact of sequence processing and taxonomic classification approaches on eukaryotic community structure from environmental samples with emphasis on diatoms

Next‐generation sequencing is a common method for analysing microbial community diversity and composition. Configuring an appropriate sequence processing strategy within the variety of tools and methods is a nontrivial task and can considerably influence the resulting community characteristics. We analysed the V4 region of 18S rRNA gene sequences of marine samples by 454‐pyrosequencing. Along this process, we generated several data sets with QIIME, mothur, and a custom‐made pipeline based on DNAStar and the phylogenetic tree‐based PhyloAssigner. For all processing strategies, default parameter settings and punctual variations were used. Our results revealed strong differences in total number of operational taxonomic units (OTUs), indicating that sequence preprocessing and clustering had a major impact on protist diversity estimates. However, diversity estimates of the abundant biosphere (abundance of ≥1%) were reproducible for all conducted processing pipeline versions. A qualitative comparison of diatom genera emphasized strong differences between the pipelines in which phylogenetic placement of sequences came closest to light microscopy‐based diatom identification. We conclude that diversity studies using different sequence processing strategies are comparable if the focus is on higher taxonomic levels, and if abundance thresholds are used to filter out OTUs of the rare biosphere.     

Novelty and Uniqueness Patterns of Rare Members of the Soil Biosphere

Soil bacterial communities typically exhibit a distribution pattern in which most bacterial species are present in low abundance. Due to the relatively small size of most culture-independent sequencing surveys, a detailed phylogenetic analysis of rare members of the community is lacking. To gain access to the rarely sampled soil biosphere, we analyzed a data set of 13,001 near-full-length 16S rRNA gene clones derived from an undisturbed tall grass prairie soil in central Oklahoma. Rare members of the soil bacterial community (empirically defined at two different abundance cutoffs) represented 18.1 to 37.1% of the total number of clones in the data set and were, on average, less similar to their closest relatives in public databases when compared to more abundant members of the community. Detailed phylogenetic analyses indicated that members of the soil rare biosphere either belonged to novel bacterial lineages (members of five novel bacterial phyla identified in the data set, as well as members of multiple novel lineages within previously described phyla or candidate phyla), to lineages that are prevalent in other environments but rarely encountered in soil, or were close relatives to more abundant taxa in the data set. While a fraction of the rare community was closely related to more abundant taxonomic groups in the data set, a significant portion of the rare biosphere represented evolutionarily distinct lineages at various taxonomic cutoffs. We reason that these novelty and uniqueness patterns provide clues regarding the origins and potential ecological roles of members of the soil's rare biosphere.     

The biogeography of abundant and rare bacterioplankton in the lakes and reservoirs of China

Bacteria play key roles in the ecology of both aquatic and terrestrial ecosystems; however, little is known about their diversity and biogeography, especially in the rare microbial biosphere of inland freshwater ecosystems. Here we investigated aspects of the community ecology and geographical distribution of abundant and rare bacterioplankton using high-throughput sequencing and examined the relative influence of local environmental variables and regional (spatial) factors on their geographical distribution patterns in 42 lakes and reservoirs across China. Our results showed that the geographical patterns of abundant and rare bacterial subcommunities were generally similar, and both of them showed a significant distance–decay relationship. This suggests that the rare bacterial biosphere is not a random assembly, as some authors have assumed, and that its distribution is most likely subject to the same ecological processes that control abundant taxa. However, we identified some differences between the abundant and rare groups as both groups of bacteria showed a significant positive relationship between sites occupancy and abundance, but the abundant bacteria exhibited a weaker distance–decay relationship than the rare bacteria. Our results implied that rare subcommunities were mostly governed by local environmental variables, whereas the abundant subcommunities were mainly affected by regional factors. In addition, both local and regional variables that were significantly related to the spatial variation of abundant bacterial community composition were different to those of rare ones, suggesting that abundant and rare bacteria may have discrepant ecological niches and may play different roles in natural ecosystems.     

Evidence for an active rare biosphere within freshwater protists community

Studies on the active rare biosphere at the RNA level are mainly focused on Bacteria and Archaea and fail to include the protists, which are involved in the main biogeochemical cycles of the earth. In this study, the richness, composition and activity of the rare protistan biosphere were determined from a temporal survey of two lakes by pyrosequencing. In these ecosystems, the always rare OTUs represented 77.2% of the total OTUs and 76.6% of the phylogenetic diversity. From the various phylogenetic indices computed, the phylogenetic units (PUs) constituted exclusively by always rare OTUs were discriminated from the other PUs. Therefore, the rare biosphere included mainly taxa that are distant from the reference databases compared to the dominant ones. In addition, the rarest OTUs represented 59.8% of the active biosphere depicted by rRNA and the activity (rRNA:rDNA ratio) increased with the rarity. The high rRNA:rDNA ratio determined in the rare fraction highlights that some protists were active at low abundances and contribute to ecosystem functioning. Interestingly, the always rare and active OTUs were characterized by seasonal changes in relation with the main environmental parameters measured. In conclusion, the rare eukaryotes represent an active, dynamic and overlooked fraction in the lacustrine ecosystems.     

Monitoring endangered freshwater biodiversity using environmental DNA

Freshwater ecosystems are among the most endangered habitats on Earth, with thousands of animal species known to be threatened or already extinct. Reliable monitoring of threatened organisms is crucial for data‐driven conservation actions but remains a challenge owing to nonstandardized methods that depend on practical and taxonomic expertise, which is rapidly declining. Here, we show that a diversity of rare and threatened freshwater animals—representing amphibians, fish, mammals, insects and crustaceans—can be detected and quantified based on DNA obtained directly from small water samples of lakes, ponds and streams. We successfully validate our findings in a controlled mesocosm experiment and show that DNA becomes undetectable within 2 weeks after removal of animals, indicating that DNA traces are near contemporary with presence of the species. We further demonstrate that entire faunas of amphibians and fish can be detected by high‐throughput sequencing of DNA extracted from pond water. Our findings underpin the ubiquitous nature of DNA traces in the environment and establish environmental DNA as a tool for monitoring rare and threatened species across a wide range of taxonomic groups.     

Differentiation strategies of soil rare and abundant microbial taxa in response to changing climatic regimes

Despite the important roles of soil microbes, especially the most diverse rare taxa in maintaining community diversity and multifunctionality, how different climate regimes alter the stability and functions of the rare microbial biosphere remains unknown. We reciprocally transplanted field soils across a latitudinal gradient to simulate climate change and sampled the soils annually after harvesting the maize over the following 6 years (from 2005 to 2011). By sequencing microbial 16S ribosomal RNA gene amplicons, we found that changing climate regimes significantly altered the composition and dynamics of soil microbial communities. A continuous succession of the rare and abundant communities was observed. Rare microbial communities were more stable under changing climatic regimes, with lower variations in temporal dynamics, and higher stability and constancy of diversity. More nitrogen cycling genes were detected in the rare members than in the abundant members, including amoA, napA, nifH, nirK, nirS, norB and nrfA. Random forest analysis and receiver operating characteristics analysis showed that rare taxa may act as potential contributors to maize yield under changing climatics. The study indicates that the taxonomically and functionally diverse rare biosphere has the potential to increase functional redundancy and enhance the ability of soil communities to counteract environmental disturbances. With ongoing global climate change, exploring the succession process and functional changes of rare taxa may be important in elucidating the ecosystem stability and multifunctionality that are mediated by microbial communities.     

An inorganic geochemical argument for coupled anaerobic oxidation of methane and iron reduction in marine sediments

Here, we present results from sediments collected in the Argentine Basin, a non‐steady state depositional marine system characterized by abundant oxidized iron within methane‐rich layers due to sediment reworking followed by rapid deposition. Our comprehensive inorganic data set shows that iron reduction in these sulfate and sulfide‐depleted sediments is best explained by a microbially mediated process—implicating anaerobic oxidation of methane coupled to iron reduction (Fe‐AOM) as the most likely major mechanism. Although important in many modern marine environments, iron‐driven AOM may not consume similar amounts of methane compared with sulfate‐dependent AOM. Nevertheless, it may have broad impact on the deep biosphere and dominate both iron and methane cycling in sulfate‐lean marine settings. Fe‐AOM might have been particularly relevant in the Archean ocean, >2.5 billion years ago, known for its production and accumulation of iron oxides (in iron formations) in a biosphere likely replete with methane but low in sulfate. Methane at that time was a critical greenhouse gas capable of sustaining a habitable climate under relatively low solar luminosity, and relationships to iron cycling may have impacted if not dominated methane loss from the biosphere.     

微生物的遗传多样性

微生物是生物圈中不可或缺的重要组成部分, 维系着自然界生态平衡。随着分子生物学技术的发展, 微生物遗传多样性的研究从形态学水平、蛋白水平进入到了DNA水平。而高通量测序技术和宏基因组技术的发展, 不仅为我们理解微生物的遗传多样性提供了更加丰富的信息和有力的证据, 也对于合理利用生物资源、保护生态平衡等方面具有重要意义。文章就微生物遗传多样性研究的相关内容, 如物种的分离鉴定、微生物群体遗传结构、物种形成以及系统发育和进化等方面的研究进展进行综述。     

AmpliconDuo: A Split-Sample Filtering Protocol for High-Throughput Amplicon Sequencing of Microbial Communities

High throughput sequencing (HTSeq) of small ribosomal subunit amplicons has the potential for a comprehensive characterization of microbial community compositions, down to rare species. However, the error-prone nature of the multi-step experimental process requires that the resulting raw sequences are subjected to quality control procedures. These procedures often involve an abundance cutoff for rare sequences or clustering of sequences, both of which limit genetic resolution. Here we propose a simple experimental protocol that retains the high genetic resolution granted by HTSeq methods while effectively removing many low abundance sequences that are likely due to PCR and sequencing errors. According to this protocol, we split samples and submit both halves to independent PCR and sequencing runs. The resulting sequence data is graphically and quantitatively characterized by the discordance between the two experimental branches, allowing for a quick identification of problematic samples. Further, we discard sequences that are not found in both branches (“AmpliconDuo filter”). We show that the majority of sequences removed in this way, mostly low abundance but also some higher abundance sequences, show features expected from random modifications of true sequences as introduced by PCR and sequencing errors. On the other hand, the filter retains many low abundance sequences observed in both branches and thus provides a more reliable census of the rare biosphere. We find that the AmpliconDuo filter increases biological resolution as it increases apparent community similarity between biologically similar communities, while it does not affect apparent community similarities between biologically dissimilar communities. The filter does not distort overall apparent community compositions. Finally, we quantitatively explain the effect of the AmpliconDuo filter by a simple mathematical model.     

“Pitfalls in relative abundance estimation using eDNA metabarcoding”

Metabarcoding provides unparalleled information of overall ecosystem ecology and diversity, from occurrence to relative abundances, from micro‐ to macro‐organisms, including cryptic species and larval stages that would otherwise be impossible to identify. PCR is still the most cost‐effective and routinely used method to extract information from environmental samples coupled with high‐throughput sequencing (HTS). Nichols et al. ( 2018 ) metabarcoded nine soil environmental samples from Alaska and six mixtures of synthetic oligonucleotides, using a short fragment of the chloroplast trnL gene. The authors tested the effect of PCR replicates, different polymerase mixes and amplicon GC content on diversity estimates. Results show that occurrence data was not biased for any of the parameters tested and only insufficient PCR replicates could impair the detection of rare taxa. For abundance data, polymerases were found to differentially bias estimates of the relative amplicon abundances and this depended on GC content.     

Targeted recovery of novel phylogenetic diversity from next-generation sequence data

Next-generation sequencing technologies have led to recognition of a so-called ‘rare biosphere''. These microbial operational taxonomic units (OTUs) are defined by low relative abundance and may be specifically adapted to maintaining low population sizes. We hypothesized that mining of low-abundance next-generation 16S ribosomal RNA (rRNA) gene data would lead to the discovery of novel phylogenetic diversity, reflecting microorganisms not yet discovered by previous sampling efforts. Here, we test this hypothesis by combining molecular and bioinformatic approaches for targeted retrieval of phylogenetic novelty within rare biosphere OTUs. We combined BLASTN network analysis, phylogenetics and targeted primer design to amplify 16S rRNA gene sequences from unique potential bacterial lineages, comprising part of the rare biosphere from a multi-million sequence data set from an Arctic tundra soil sample. Demonstrating the feasibility of the protocol developed here, three of seven recovered phylogenetic lineages represented extremely divergent taxonomic entities. These divergent target sequences correspond to (a) a previously unknown lineage within the BRC1 candidate phylum, (b) a sister group to the early diverging and currently recognized monospecific Cyanobacteria Gloeobacter, a genus containing multiple plesiomorphic traits and (c) a highly divergent lineage phylogenetically resolved within mitochondria. A comparison to twelve next-generation data sets from additional soils suggested persistent low-abundance distributions of these novel 16S rRNA genes. The results demonstrate this sequence analysis and retrieval pipeline as applicable for exploring underrepresented phylogenetic novelty and recovering taxa that may represent significant steps in bacterial evolution.     

A molecular survey of protist diversity through the central Arctic Ocean

The protist assemblage in the central Arctic Ocean is scarcely surveyed despite them being the major primary producers. Elucidating their response to changing environmental variables requires an a priori analysis of their current diversity, including abundant and rare species. In late summer 2011, samples were collected during the ARK-XXVI/3 expedition (RV Polarstern) to study Arctic protist community structures, by implementation of automated ribosomal intergenic spacer analysis (ARISA) and 454-pyrosequencing. Protist assemblages were related to the hydrology and environmental variables (temperature, salinity, ice coverage, nitrate, phosphate, and silicate). The abundant (≥1 %) biosphere and rare (<1 %) biosphere were considered separately in the diversity analysis in order to reveal their mutual relationships. A relation between hydrology and protist community structure was highly supported by ARISA and partially by 454-pyrosequencing. Sea ice showed a stronger influence on the local community structure than nutrient availability, making statements on the water mass influence more difficult. Dinoflagellates (Syndiniales), chlorophytes (Micromonas spp.), and haptophytes (Phaeocystis spp.) were important contributors to the abundant biosphere, while other dinoflagellates and stramenopiles dominated the rare biosphere. No significant correlation was found between the abundant and rare biosphere. However, relative contributions of major taxonomic groups revealed an unexpected stable community structure within the rare biosphere, indicating a potential constant protist reservoir. This study provides a first molecular survey of protist diversity in the central Arctic Ocean, focusing on the diversity and distribution of abundant and rare protists according to the environmental conditions, and can serve as baseline for future analysis.     

Electing a candidate: a speculative history of the bacterial phylum OP10

In 1998, a cultivation‐independent survey of the microbial community in Obsidian Pool, Yellowstone National Park, detected 12 new phyla within the Domain Bacteria. These were dubbed ‘candidate divisions’ OP1 to OP12. Since that time the OP10 candidate division has been commonly detected in various environments, usually as part of the rare biosphere, but occasionally as a predominant community component. Based on 16S rRNA gene phylogeny, OP10 comprises at least 12 class‐level subdivisions. However, despite this broad ecological and evolutionary diversity, all OP10 bacteria have eluded cultivation until recently. In 2011, two reference species of OP10 were taxonomically validated, removing the phylum from its ‘candidate’ status. Construction of a highly resolved phylogeny based on 29 universally conserved genes verifies its standing as a unique bacterial phylum. In the following paper we summarize what is known and what is suspected about the newest described bacterial phylum, the Armatimonadetes.