Biology subjects

Konstantinidis, K. T.

Publications and source records attributed to Konstantinidis, K. T..

At least 37 records · Page 2Linked to original sources

bioRxiv2023

pH selects for distinct N2O-reducing microbiomes in tropical soil microcosms

Nitrous oxide (N2O), a greenhouse gas with ozone destruction potential, is mitigated by the microbial reduction to dinitrogen catalyzed by N2O reductase (NosZ). Bacteria with NosZ activity have been studied at circumneutral pH but the microbiology of low pH N2O reduction has remained elusive. Acidic (pH<5) tropical forest soils were collected in the Luquillo Experimental Forest in Puerto Rico, and microcosms maintained with low (0.02mM) and high (2mM) N2O assessed N2O reduction at pH 4.5 and 7.3. All microcosms consumed N2O, but long lag times of up to 7 months were observed in microcosms with 2 mM N2O. Comparative metagenome analysis revealed that Rhodocyclaceae dominated in circumneutral microcosms under both N2O feeding regimes. In acidic microcosms, Peptococcaceae dominated in high-N2O, and Hyphomicrobiaceae in low-N2O microcosms. Seventeen metagenome-assembled genomes (MAGs) recovered from these microcosms harbored nos operons, with all eight MAGs derived from acidic microcosms carrying the clade II type nosZ, lacking nitrite reductase genes (nirS, nirK). Five of these MAGs represented novel taxa indicating an unexplored N2O-reducing diversity exists in acidic tropical soils. A survey of pH 3.5-5.7 soil metagenome datasets revealed that nosZ genes commonly occur, suggesting broad distribution of N2O reduction potential in acidic soils.

microbiology↗

bioRxiv2023

Enteric Populations of Escherichia coli are Likely to be Resistant to Phages Due to O Antigen Production

Metagenomic data provide evidence that bacteriophage (phage) abound in the enteric microbiomes of humans. However, the contribution of these viruses in shaping the bacterial composition of the gut microbiome and how these phages are maintained remains unclear. We performed experiments with 751 combinations of 54 Escherichia coli and 9 phage isolates from four fecal microbiota transplantation (FMT) doses and 5 laboratory phages as samples of non-dysbiotic human enteric microbiota. We also developed a mathematical model of the population and evolutionary dynamics of bacteria and phage. Our experiments predict that as a consequence of the production of the O-antigen, most of the E. coli in the human enteric microbiome will be resistant to infections with the array of co-occurring phages. Our modeling suggests that phages are maintained in these enteric communities due to the high rates of transition between the resistant and sensitive states resulting from O-antigen production or spontaneous O-antigen loss, respectively. Based on our observations and predictions from this theory, we postulate that the phage found in the human gut are likely to play little role shaping the strain composition of E. coli of healthy individuals. Although we only investigated E. coli, the mechanism of resistance described here is shared among most of the Gram-negative bacteria. Extended AbstractEvidence is provided that as a consequence of O-antigen-mediated resistance, the genetically diverse array of bacteriophage in the gut microbiome of humans play little or no role in determining the densities and distribution of genetically diverse strain E. coli in this habitat. Our mathematical model predicts, and our experiments support the hypothesis that the phage present in the gut microbiome are maintained by replication on the minority of sensitive bacteria generated by the leakiness of O-antigen-mediated resistance.

microbiology↗

bioRxiv2023

Sustained bacterial (N2O) reduction at acidic pH

Nitrous oxide (N2O) is a climate-active gas and emissions from terrestrial ecosystems are concerning. Microbial reduction of N2O to dinitrogen (N2) is the only known consumption process and has been studied extensively at circumneutral pH; however, N2O reduction under acidic conditions is thought to be limited. Global soil acidification, accelerated by anthropogenic practices, introduces high uncertainty into N2O emission budgets. We obtained an enrichment culture from an acidic tropical forest soil that robustly reduces N2O to N2 at pH 4.5 with the addition of pyruvate and hydrogen. Consecutive transfers at pH 4.5 yielded a co-culture and temporal analyses revealed a bimodal growth pattern with a Serratia sp. growing during the initial pyruvate fermentation phase followed by growth of a novel Desulfosporosinus sp. via hydrogenotrophic N2O reduction. The Desulfosporosinus sp. produced (3.1 {+/-} 0.11) x 108 cells per mmol of N2O consumed, on par with growth yields reported for clade II N2O reducers at circumneutral pH. Genome analysis identified a clade II nos gene cluster, but an incomplete pathway for sulfate reduction, a hallmark feature of the genus Desulfosporosinus. Physiological and metabogenomic characterization revealed interspecies nutritional interactions, with the pyruvate fermenting Serratia sp. supplying amino acids as essential growth factors to the Desulfosporosinus sp. The co-culture reduced N2O between pH 4.5 and 6 but not at or above pH 7, contradicting the paradigm that sustained microbial N2O reduction ceases under acidic pH conditions, thus confirming a previously unrecognized N2O reduction potential in acidic soils. Significance StatementProcesses generating N2O occur over a broad pH range spanning pH 3 to 12; however, the current paradigm assumes that microbial N2O consumption is limited to circumneutral pH (6 to 8). The imbalance between N2O production versus consumption has increased the atmospheric concentration of this climate active gas by 17 % over the last 100 years, and accelerated emissions due to global soil acidification are a major climate concern. From acidic soil, we obtained a bacterial culture harboring a novel Desulfosporosinus species that effectively reduces N2O at pH 4.5, but not at or above pH 7. The discovery of an N2O reducer adapted to acidic pH conditions has far-reaching implications for predicting, modeling, and potentially managing N2O emissions from low pH ecosystems. Note for publisher (this text will be removed prior to publication)This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

microbiology↗

bioRxiv2023

Low-troposphere microbial communities differ between dry-air and rainfall but do not show strong seasonal patterns in Metro Atlanta, Southeast USA

The composition and seasonal patterns of airborne bacterial and fungal communities and how these are affected by atmospheric conditions (e.g., dry vs. rain), origin of air masses, and presence of air pollutants remain understudied, despite their obvious importance for public health. To provide insights into these questions, monthly dry air and rain samples were collected at the Environmental Science and Technology building rooftop on Georgia Techs campus (Metro Atlanta) between June 2017 and November 2019. The sampling included the remnants of Hurricane Irma and a Saharan dust event in 2020. Amplicon sequencing of the V4 region of the 16S rRNA gene and the fungal nuclear ribosomal internal transcribed spacer (ITS) region showed that spore-forming bacteria and widespread fungi were enriched in dry samples, while photosynthetic bacteria and wood-decaying fungi were more abundant in rain samples, demonstrating the effect of sample type on bioaerosol composition. Further, higher relative abundance of fungal human pathogens and allergens were identified in the dry-air and Saharan dust samples, including Alternaria alternata and Cladosporium cladosporioides. Bacterial and fungal species richness and composition appeared to be relatively consistent between seasons for both sample types. Accordingly, sample type and seasonality explained [~]14% and [~]8.5% of the microbial diversity between samples, respectively, while presence of air pollutants and three-day back trajectory data were not significant. Collectively, our data indicates that dry air might represent a higher public health risk and provides a reference point for the long-term monitoring of airborne microbial communities in an urban Southeast US setting. ImportanceIn the atmosphere, or in the air we breathe, bioaerosols are always present. Bioaerosols are biological particles (alive or dead) suspended in the air, being bacteria and fungi the most abundant. In addition, bioaerosols can potentially contribute to weather/climate patterns. Although and unfortunately, a clear biodiversity pattern from different atmospheric events (air, rain, snow, etc.) remains to be discovered, especially in urban areas, where bioaerosols can also have implications for public health. The role of airborne microbes and their diversity patterns in the atmosphere constitutes a significant gap in our understanding of their interactions with health, climate, and other ecosystems compared to other environments. Our research provides the first reference point for long-term monitoring of airborne microbial communities in an urban Southeast US setting. This research contributes novel knowledge about public health and insights for integrating biological information into weather and climate prediction models.

microbiology↗

bioRxiv2023

Sulfur oxidation and reduction are coupled to nitrogen fixation in the roots of a salt marsh foundation plant species

Symbiotic root microbiota are crucial for plant growth as they assist their hosts in nutrient acquisition. In the roots of coastal marine plants, heterotrophic activity in the rhizosphere by sulfate-reducing microorganisms has been linked to nitrogen fixation. In this study, we recovered 239 high-quality metagenome-assembled genomes (MAGs) from a salt marsh dominated by the foundation plant Spartina alterniflora, including diazotrophic sulfate-reducing and sulfur-oxidizing bacteria thriving in the root compartment. Here we show for the first time that highly-abundant sulfur-oxidizing bacteria in the roots of a coastal macrophyte encode and highly express genes for nitrogen fixation (nifHDK). Further, we leveraged a S. alterniflora biomass gradient to gain a mechanistic understanding on how root-microbe interactions respond to abiotic stress from anoxia and elevated sulfide concentration. We observed that the roots of the stressed S. alterniflora phenotype exhibited the highest rates of nitrogen fixation and expression levels of both the oxidative and reductive forms of the dissimilatory sulfite reductase gene (dsrAB). Approximately 25% and 15% of all sulfur-oxidizing dsrA and nitrogen-fixing nifK transcripts, respectively, were associated with novel MAGs of the Candidatus Thiodiazotropha genus in the roots of the stressed S. alterniflora phenotype. We conclude that the rapid cycling of sulfur in the dynamic S. alterniflora root zone is coupled to nitrogen fixation during both reductive and oxidative sulfur reactions, and that the S. alterniflora - Ca. Thiodiazotropha symbiosis is an adaptive response to anoxic and sulfidic sediment conditions, whereby the plants benefit from reduced sulfide toxicity and potential nitrogen acquisition.

microbiology↗

bioRxiv2023

Towards estimating the number of strains that make up a natural bacterial population

What a strain is and how many strains make up a natural bacterial population remain elusive concepts despite their apparent importance for assessing the role of intra-population diversity in disease emergence or response to environmental perturbations. To advance these concepts, we sequenced 138 randomly selected Salinibacter ruber isolates from two solar salterns and assessed these genomes against companion short-read metagenomes from the same samples. The distribution of genome-aggregate average nucleotide identity (ANI) values among these isolates revealed a bimodal distribution, with significantly lower occurrence of values between 99.2% and 99.8% relative to ANI >99.8% or <99.2%, revealing a natural "gap" in the sequence space within species. Accordingly, we used this ANI gap to define genomovars and a higher ANI value of >99.99% and shared gene-content >99.0% to define strains. Using these thresholds and extrapolating from how many metagenomic reads each genomovar uniquely recruited, we estimated that -although our 138 isolates represented about 80% of the Sal. ruber population- the total population in one pond is composed of 5,500 to 11,000 genomovars, the great majority of which appear to be rare in situ. These data also revealed that the most frequently recovered isolate in lab media was often not the most abundant genomovar in situ, suggesting that cultivation biases are significant, even in cases that cultivation procedures are thought to be robust. Preliminary analyses of available genomes revealed that the thresholds used for defining strains and distinct intra-species units (genomovars) may be broadly applicable to additional bacterial species. Significance StatementStrains are the smallest distinguishable units within a microbial species. Strains that carry unique gene content often underly the emergence of disease outbreaks and the response of the species to environmental perturbations. Therefore, a major challenge in microbiome research across environmental and clinical settings is to evaluate how many strains of the same species coexist in nature and how dominant strains emerge from this diversity. Unfortunately, the available theoretical concept of strain is not directly applicable to culture-independent surveys. Here, we provide such a practical definition for strain and use it to show that that the number of strains making up a natural bacterial population may be large, in the order of a few thousands, but not infinite.

microbiology↗

bioRxiv2022

GSearch: Ultra-Fast and Scalable Microbial Genome Search by combining Kmer Hashing with Hierarchical Navigable Small World Graphs

Genome search and/or classification is a key step in microbiome studies and has recently become more challenging due to the increasing number of available (reference) genomes and the fact that traditional methods do not scale well with large databases. By combining k-mer hashing-based probabilistic data structures (e.g., (Prob/Super/Densified)-MinHash or SetSketch) to estimate genomic distance, with a graph-based nearest neighbor search algorithm (called Hierarchical Navigable Small World Graphs, or HNSW), we created a new data structure and developed an associated computer program, GSearch, that is orders of magnitude faster than alternative tools while maintaining high accuracy and low memory usage. For example, GSearch can identify/classify 8,000 query genomes against all available microbial or viral genomes (n=[~]318,000 or [~]3,000,000) within a few minutes on a personal laptop, using only [~]6GB of memory or less (e.g., 2.5G via SetSketch). Notably, GSearch will be even faster compared to other tools with even larger database size due to O(log(N)) time complexity and will scale well with billions of database genomes based on a database splitting strategy. Further, GSearch implements a three-step classification pipeline that accounts for the degree of novelty of query genomes relative to the database genome to maximize specificity and sensitivity. Therefore, GSearch solves a major bottleneck of microbiome studies that require genome search and/or classification of microbial or viral genomes. GSearch is available at: https://github.com/jean-pierreBoth/gsearch

bioinformatics↗

bioRxiv2022

A natural definition for a bacterial strain and clonal complex

Large-scale surveys of prokaryotic communities (metagenomes) as well as isolate genomes have revealed that their diversity is predominantly organized in sequence-discrete units that may be equated to species. Specifically, genomes of the same species commonly show genome-aggregate average nucleotide identity (ANI) >95% among themselves and ANI <90% to members of other species, while genomes showing ANI 90-95% are comparatively rare. However, it remains unclear if such "discontinuities" or gaps in ANI values can be observed within species and thus, used to advance and standardize intra-species units such as strains and sequence types. By analyzing 18,123 complete isolate genomes from 330 bacterial species with at least ten genome representatives each as well as available long-read metagenomes, we show that such a discontinuity exists between 99.2-99.8% (mean 99.5%) ANI. The 99.5% ANI threshold is largely consistent with how sequence types have been defined in previous epidemiological studies but provides clusters with [~]20% higher accuracy in terms of evolutionary and gene-content relatedness of the grouped genomes, while strains should be consequently defined at higher ANI values (>99.99% proposed). Collectively, our results should facilitate future micro-diversity studies across clinical or environmental settings because they provide a more natural definition of intra-species units of diversity.

microbiology↗

bioRxiv2021

Novel municipal sewage-associated bacterial genomes and their potential in source tracking

Little is known about the genomic diversity of raw municipal wastewater (sewage) microbial communities, including to what extent sewage-specific populations exist and how they can be used to improve source attribution and partitioning in sewage-contaminated waters. Herein, we used the influent of three wastewater treatment plants in Atlanta, Georgia (USA) as inoculum in multiple controlled laboratory mesocosms to simulate sewage contamination events and followed these perturbed freshwater microbial communities with metagenomics over a 7-day observational period. We describe 15 abundant non-redundant bacterial metagenome-assembled genomes (MAGs) ubiquitous within all sewage inoculum yet absent from the unperturbed freshwater control at our analytical limit of detection. Tracking the dynamics of populations represented by these MAGs revealed varied decay kinetics, depending on (inferred) phenotypes, e.g., anaerobes decayed faster under the well-aerated incubation conditions. Notably, a portion of these populations show decay patterns similar to common markers, Enterococcus and HF183. Comparisons against MAGs from different sources such as human and animal feces, revealed low cross-reactivity, indicating how genomic collections could be used to sensitively identify sewage contamination and partition signal among multiple sources. Overall, our results indicate the usefulness of metagenomic approaches for assessing sewage contamination in waterbodies and provides needed methodologies for doing so.

microbiology↗

bioRxiv2021

Metagenome-based comparisons of decay rates and host-specificity of fecal microbial communities for improved microbial source tracking

Fecal material in the environment is a primary source of pathogens that cause waterborne diseases and affect over a billion people worldwide. Microbial source tracking (MST) assays based on single genes (e.g., 16S rRNA) do not always provide the resolution needed to attribute fecal contamination sources. In this work, we used dialysis bag mesocosms simulating a freshwater habitat that were spiked separately with cow, pig, or human feces to monitor the decay of host-specific fecal signals over time with metagenomics, traditional qPCR, and culture-based methods. Sequencing of the host fecal communities used as inocula recovered 79 non-redundant metagenome-assembled genomes (MAGs) whose abundance patterns showed that the majority of the fecal community signal was not detectable in the mesocosm metagenomes after four days. Several MAGs showed high host specificity, and thus are promising candidates for biomarkers for their respective host type. Traditional qPCR methods varied in their correlation with MAG decay kinetics. Notably, the human-specific Bacteroides assay, HF183/BFDRev, consistently under-estimated fecal pollution due to not being present in all hosts and/or primer mismatches. This work provides new insights on the persistence and decay kinetics of host-specific gut microbes in the environment and identifies several MAGs as putative biomarkers for improved MST. SYNOPSISWe track cow, pig, and human fecal pollution in lake water over time with metagenomics and benchmark these novel protocols against standard culture-based and qPCR tests for water quality monitoring.

microbiology↗

bioRxiv2021

Transcriptomic and rRNA:rDNA signatures of environmental vs. enteric Enterococcus faecalis isolates under oligotrophic freshwater conditions

The use of enterococci as a fecal indicator bacterial group for public health risk assessment has been brought into question by recent studies showing that "naturalized" populations of E. faecalis exist in the extraenteric environment in a viable but not culturable (VBNC) state. The extent to which these naturalized or VBNC E. faecalis can confound water quality monitoring is unclear. To determine if strains isolated from different habitats display different survival strategies and responses, we compared the decay patterns of three E. faecalis isolates from the natural environment (environmental strains) against three human gut isolates (enteric strains) in laboratory mesocosms that simulate an oligotrophic, aerobic freshwater environment. Our results showed similar overall decay rates between enteric and environmental isolates based on viable plate and qPCR counts. However, the enteric isolates exhibited a spike in rRNA:rDNA ratios between days 1 and 3 of the mesocosm incubations that was not observed in environmental isolates, which could indicate a different stress response. Nevertheless, there was no strong evidence of differential expression of genes thought to be related to habitat adaptation in the accompanying mesocosm metatranscriptomes when compared between environmental and enteric isolates. Overall, our results provide novel information on how rRNA levels may vary over different metabolic states (i.e., alive vs. VBNC) for this important indicator bacteria. We also observed some evidence for habitat adaptation in E. faecalis; however, this adaptation may not be substantial or consistent enough for integration in water quality monitoring. IMPORTANCEEnterococci are commonly used worldwide to monitor environmental fecal contamination and public health risk for waterborne diseases. However, some species within this group can enter an inactive, viable but not culturable (VBNC) state that make it difficult to accurately quantify during routine monitoring. Furthermore, lower-risk, environmental enterococci strains may also confound water quality estimates. We developed an rRNA:rDNA viability assay for E. faecalis (a predominant species within this fecal group) and tested it against both enteric and environmental isolates in freshwater mesocosms to assess whether this approach can serve as a more sensitive water quality monitoring tool. We were unable to reliably distinguish the different isolate types using this assay under the conditions tested here; thus, environmental strains should continue to be counted during routine water monitoring. However, this assay could be useful for distinguishing more recent (i.e., higher risk) fecal pollution because rRNA levels significantly decreased after one week in all isolates.

microbiology↗

bioRxiv2021

High arsenic levels increase activity rather than diversity or abundance of arsenic metabolism genes in paddy soils

Arsenic (As) metabolism genes are generally present in soils but their diversity, relative abundance, and transcriptional activity in response to different As concentrations remain unclear, limiting our understanding of the microbial activities that control the fate of an important environmental pollutant. To address this issue, we applied metagenomics and metatranscriptomics to paddy soils showing a gradient of As concentrations to investigate As resistance genes (ars) including arsR, acr3, arsB, arsC, arsM, arsI, arsP, and arsH as well as energy-generating As respiratory oxidation (aioA) and reduction (arrA) genes. Somewhat unexpectedly, the relative DNA abundances and diversity of ars, aioA, and arrA genes were not significantly different between low and high ([~]10 vs [~]100 mg kg-1) As soils. By comparison to available metagenomes from other soils, geographic distance rather than As levels drove the different compositions of microbial communities. Arsenic significantly increased ars genes abundance only when its concentration was higher than 410 mg kg-1. In contrast, between low and high As soils, metatranscriptomics revealed a significant increase in transcription of ars and aioA genes, which are induced by arsenite, the dominant As species in paddy soils, but not arrA genes, which are induced by arsenate. These patterns appeared to be community-wide as opposed to taxon-specific. Collectively, our findings advance understanding of how microbes respond to high As levels and the diversity of As metabolism genes in paddy soils and indicated that future studies of As metabolism in soil, or other environments, should include the function (transcriptome) level. IMPORTANCEArsenic (As) is a toxic metalloid pervasively present in the environment. Microorganisms have evolved the capacity to metabolize As, and As metabolism genes are ubiquitously present in the environment even in the absence of high concentrations of As. However, these previous studies were carried out at the DNA level and thus, the activity of the As metabolism genes detected remains essentially speculative. Here, we show that the high As levels in paddy soils increased the transcriptional activity rather than the relative DNA abundance and diversity of As metabolism genes. These findings advance our understanding of how microbes respond to and cope with high As levels, and have implications for better monitoring and managing an important toxic metalloid in agricultural soils and possibly other ecosystems.

microbiology↗

bioRxiv2021

Impact of an Urban Sanitation Intervention on Enteric Pathogen Detection in Soils

Environmental fecal contamination is common in many low-income cities, contributing to a high burden of enteric infections and associated negative sequelae. To evaluate the impact of a shared onsite sanitation intervention in Maputo, Mozambique on enteric pathogens in the domestic environment, we collected 179 soil samples at shared latrine entrances from intervention (n= 49) and control (n= 51) compounds during baseline (pre-intervention) and after 24 months (post-intervention) as part of the Maputo Sanitation Trial. We tested soils for the presence of nucleic acids associated with 20 enteric pathogens using a multiplex reverse transcription qPCR platform. We detected at least one pathogen-associated target in 91% (163/179) of soils and a median of 3 (IQR=1.5, 5) pathogens. Using a difference-in-difference analysis and adjusting for compound population, visibly wet soil, sun exposure, wealth, temperature, animal presence, and visible feces, we estimate the intervention reduced the probability of [≥]1 pathogen detected by 15% (adjusted prevalence ratio, aPR=0.85; 95% CI: 0.70, 1.0) and the total number of pathogens detected by 35% (aPR =0.65; 0.44, 0.95) in soil 24 months following the intervention. These results suggest that the intervention reduced the presence of some fecal contamination in the domestic environment, but pathogen detection remained prevalent 24-months following the introduction of new latrines.

molecular biology↗

bioRxiv2021

Toward quantifying the adaptive role of bacterial pangenomes during environmental perturbations

Metagenomic surveys have revealed that natural microbial communities are predominantly composed of sequence-discrete, species-like populations but the genetic and/or ecological mechanisms that maintain such populations remain speculative, limiting our understanding of population speciation and adaptation to environmental perturbations. To address this knowledge gap, we sequenced 112 Salinibacter ruber isolates and 12 companion metagenomes recovered from four adjacent saltern ponds in Mallorca, Spain that were experimentally manipulated to dramatically alter salinity and light intensity, the two major drivers of these ecosystems. Our analyses showed that the pangenome of the local Sal. ruber population is open and similar in size ([~]15,000 genes) to that of randomly sampled Escherichia coli genomes. While most of the accessory (non-core) genes showed low in situ coverage based on the metagenomes compared to the core genes, indicating that they were functionally unimportant and/or ephemeral, 3.49% of them became abundant when salinity (but not light intensity) conditions changed and encoded for functions related to osmoregulation. Nonetheless, the ecological advantage of these genes, while significant, was apparently not strong enough to purge diversity within the population. Collectively, our results revealed a possible mechanism for how this immense gene diversity is maintained, which has implications for the prokaryotic species concept. Significance StatementThe pangenomes of bacterial species, i.e., the number of non-redundant genes carried by members of the species, can be enormous based on the genome sequencing of isolates from various sites around the globe and different years. However, to what extent this pattern of gene diversity applies to natural bacterial populations, i.e., strains co-occurring in the same site, and the value of this diversity for population adaptation during environmental transition remains unclear. This study showed that while the pangenome of a natural population can be similarly large, only a small fraction of the pangenome appears to be functionally important when conditions change. Taken together, these results provided quantitative insights into the extent and functional significance of the accessory pangenome of a natural, species-like population.

microbiology↗

bioRxiv2020

MicrobeAnnotator: a user-friendly, comprehensive microbial genome annotation pipeline

SummaryHigh-throughput sequencing has increased the number of microbial genomes from isolates, single cells, and metagenomes available. To analyze and compare these genomes, fast and comprehensive annotation pipelines are needed. Although several approaches exist for genome annotation, these are typically not designed for easy incorporation into analysis pipelines, do not combine results from several annotation databases or offer easy-to-use summaries of metabolic reconstructions in a high-throughput mode. Here, we introduce MicrobeAnnotator, a fully automated pipeline for the comprehensive annotation of microbial genomes that combines results from several reference protein databases to reliably summarize the metabolic potential of the genomes based on KEGG modules. AvailabilityMicrobeAnnotator is implemented in Python and is freely available under an open source Artistic Licence 2.0 from https://github.com/cruizperez/MicrobeAnnotator Contactcruizperez3@gatech.edu; kostas@ce.gatech.edu

bioinformatics↗

bioRxiv2020

Time series metagenomic sampling of the Thermopyles, Greece, geothermal springs reveals stable microbial communities dominated by novel sulfur-oxidizing chemoautotrophs

Geothermal springs are barely affected by environmental conditions aboveground as they are continuously supplied with subsurface water with little variability in chemistry. Therefore, changes in their microbial community composition and function, especially over a long period, are expected to be limited but this assumption has not yet been rigorously tested. Toward closing this knowledge gap, we applied whole metagenome sequencing to 17 water samples collected between 2010 and 2016 (two to four samples per year) from the Thermopyles sulfur geothermal springs in central Greece. As revealed by 16S rRNA gene fragments recovered in the metagenomes, Epsilonproteobacteria-related operational taxonomic units (OTUs) dominated most samples, while grouping of samples based on OTU abundances exhibited no apparent seasonal pattern. Similarities between samples regarding functional gene content were high, especially in comparison to other surface water systems in Greece, with all samples sharing >70% similarity in functional pathways. These community-wide patterns were further confirmed by analysis of metagenome-assembled genomes (MAGs), which showed - in addition- that novel species and genera of the chemoautotrophic Campylobacterales order dominated the springs. These MAGs carried different pathways for thiosulfate and/or sulfide oxidation coupled to carbon fixation pathways. Overall, our study showed that even in the long term, functions of microbial communities in a moderately hot terrestrial spring remain stable, driving presumably the corresponding stability in community structure.

microbiology↗

bioRxiv2020

Metagenomic characterization of soil microbial communities in the Luquillo experimental forest (Puerto Rico) and implications for nitrogen cycling

The phylogenetic and functional diversity of microbial communities in tropical rainforests, and how these differ from temperate communities remain poorly described but are directly related to the increased fluxes of greenhouse gases such as nitrous oxide (N2O) from the tropics. Towards closing these knowledge gaps, we analyzed replicated shotgun metagenomes representing distinct life zones from four locations in the Luquillo Experimental Forest (LEF), Puerto Rico. These soils had a distinct microbial community composition and lower species diversity when compared to temperate grasslands or agricultural soils. Unlike temperate soils, LEF soils showed little stratification with depth in the first 0-30cm, with ~45% of community composition differences explained solely by location. The relative abundances and nucleotide sequences of N2O reductases (nosZ) were highly similar between tropical forest and temperate soils. However, respiratory NO reductase (norB) was 2-fold more abundant in the tropical soils, which might be relatable to their greater N2O emissions. Nitrogen fixation (nifH) also showed higher relative abundance in rainforest compared to temperate soils (20% vs. 0.1-0.3% of bacterial genomes in each soil type harbored the gene, respectively). Collectively, these results advance our understanding of spatial diversity and metabolic repertoire of tropical rainforest soil communities, and should facilitate future ecological modeling efforts. ImportanceTropical rainforests are the largest terrestrial sinks of atmospheric CO2 and the largest natural source of N2O emissions, two critical greenhouse gases for the climate. The microbial communities of rainforest soils that directly or indirectly, through affecting plant growth, contribute to these fluxes remain poorly described by cultured-independent methods. To close this knowledge gap, the present study applied shotgun metagenomics to samples selected from 3 distinct life zones within the Puerto Rico rainforest. The results advance our understanding of microbial community diversity in rainforest soils and should facilitate future studies of natural or manipulated perturbations of these critical ecosystems.

microbiology↗

bioRxiv2020

Lower Soil Carbon Loss Due to Persistent Microbial Adaptation to Climate Warming

Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. Despite intensive studies for two decades, the magnitude, direction, and duration of such feedbacks are uncertain, and their underlying microbial mechanisms are still poorly understood. Here we examined the responses of soil respiration and microbial community structure to long-term experimental warming in a temperate grassland ecosystem. Our results indicated that the temperature sensitivity of soil microbial respiration (i.e., Q10) persistently decreased by 12.0{+/-}3.7% across 7 years of warming. Integrated metagenomic and functional analyses showed that microbial community adaptation played critical roles in regulating respiratory acclimation. Incorporating microbial functional gene abundance data into a microbially-enabled ecosystem model significantly improved the modeling performance of soil microbial respiration by 5-19%, compared to the traditional non-microbial model. Model parametric uncertainty was also reduced by 55-71% when gene abundances were used. In addition, our modeling analyses suggested that decreased temperature sensitivity could lead to considerably less heterotrophic respiration (11.6{+/-}7.5%), and hence less soil C loss. If such microbially mediated dampening effects occur generally across different spatial and temporal scales, the potential positive feedback of soil microbial respiration in response to climate warming may be less than previously predicted.

ecology↗