Biology subjects

Hungate, B. A.

Publications and source records attributed to Hungate, B. A..

18 recordsLinked to original sources

bioRxiv2026

Quantitative stable isotope probing to measure in situ growth of protist populations

Soil protists shape microbial food webs and nutrient cycling, yet methods for measuring their population growth in soil have lagged behind the taxonomic resolution available from 18S rRNA gene sequencing. Microscopy-based approaches can estimate abundance and growth, but with limited taxonomic resolution. Here, we tested whether quantitative stable isotope probing (qSIP) can provide reproducible, sequencing-resolved growth measurements for soil protists. We incubated soil with natural-abundance or {superscript 1} O-labeled water and measured taxon-specific 18O enrichment in DNA using three common 18S rRNA gene primer sets. 18O enrichment values were positively correlated across datasets, with relationships closest to 1:1 after poorly resolved taxonomic assignments were excluded, indicating that qSIP provides reproducible population-level growth signals across marker choices. We then compared 18S amplicon profiles from unfractionated DNA with qSIP-derived growth measurements across a soil moisture gradient. Amplicon profiles showed small shifts in relative abundances of major protist groups, whereas qSIP revealed a large moisture response in the growing community: 7 ASVs were growing at 20% field capacity compared with 143 at 80% field capacity, representing 1.6% and 63.3% of total protist relative abundance, respectively. Average growth was <1% day{square}1 in the two driest treatments, increasing to 2.1% day{square}1 at 60% and 5.6% day{square}1 at 80% field capacity; among growing taxa, rates averaged 8.7% and 8.3% day{square}1 in the two wetter treatments. By pairing taxonomic resolution with isotope-based growth estimates, qSIP with 18O-H2O moves soil protist ecology toward quantitative population dynamics: identifying which taxa grow, how fast, and how growth responds to the environment.

microbiology↗

bioRxiv2026

Rapid Changes in Transcription During a Feast-Famine Event

AbstractSoil microbes have sophisticated mechanisms to detect and respond to short pulses of C inputs, often involving changes in gene-expression. We studied gene transcription in a soil microbial community before, and 8, 24, and 48h after glucose addition (0.7 mg C g-1 dry soil) to understand how microbes react to periods of substrate excess and subsequent starvation. The relative transcript abundance of genes associated with energy metabolism and biosynthesis of amino acids, lipids, nucleotides, and cell wall components increased 8h after glucose addition. By 24 and 48h, the abundances of these transcripts reversed. Transcript abundance for genes associated with degradation of lipids, nucleotides, and (hetero)cyclic hydrocarbons decreased at 8h, but increased 24 and 48h after glucose addition. Simultaneously with a rise in transcripts for energy production and biosynthesis at 8h, transcription of regulatory genes for the exponential growth phase and ribosome assembly and maturation increased. In contrast, at 24 and 48h, transcript abundance for genes associated with ribosomal hibernation, sporulation, and regulation of the stationary phase increased, while transcripts for regulators for the exponential phase, and ribosome activation decreased. Based on changes in transcript abundance of phosphoenolpyruvate carboxylase and pyruvate carboxylase, it appeared that 8h after glucose addition glycolytic activity was high, however, gluconeogenesis returned at 24 and 48h. High levels of transcripts for nrtC-ntrB indicated N limitation 8 and 24h after glucose addition. Transcripts associated with Type VI Secretion Systems increased 24 and 48h after start of the experiment, suggesting a short lag between primary consumers and predatory bacteria. These results illustrate how metatranscriptome analysis can be used to study the ecophysiology of soil microbes providing details on the timing of exponential and stationary phase processes, coordination between anabolism and catabolism, and emerging nutrient limitations in natural soil communities. Research HighlightsO_LIWe studied gene transcription of a soil microbial community after glucose addition C_LIO_LITranscript abundances for biosynthesis and energy production initially increased, while those for degradation decreased C_LIO_LITranscripts of regulators and sporulation genes indicated start of stationary phase at 24h C_LIO_LINitrogen limitation induced transcription of nitrogen stress genes C_LI

ecology↗

bioRxiv2025

Internal DNA standards for Isopycnic Centrifugation of Environmental DNA in Quantitative Stable Isotope Probing

Element assimilation rates or the DNA replication rate of microbial taxa can be measured in environmental samples through quantitative DNA-stable isotope probing (DNA-qSIP). Here, we introduce a set of DNA standards that may be used to quantify the density of DNA extracted from environmental samples after isopycnic centrifugation. The standards are approximately 9 Kbp PCR products with either isotopically enriched (98 atom% 15N, 13C) nucleotides or natural abundance nucleotides and have densities that differ by 0.051 g/mL. The internal standards were tested in a DNA-qSIP analysis of bacterial populations in soil exposed to 63 atom% H218O, performed in two different laboratories with different equipment and protocols. While fractionation results, including number of fractions taken and differences in density between adjacent fractions, between the two laboratories were different, the internal standards allowed the two data sets to be compared, and both research groups found similar Excess Atom Fraction (EAF) of oxygen-18 in the DNA of bacterial taxa. These internal DNA standards allow direct comparison of DNA-qSIP results from different experiments regardless of operator, tracer enrichment levels, protocol or equipment used and can support the creation of a large global database that contains qSIP results from many different laboratories. ImportanceDNA-qSIP is an important technique in microbial ecology that allows the growth and nutrient assimilation rates of microbial taxa, including those that have not yet been cultured, to be measured. Growth and assimilation rates are extremely variable parameters in microbial ecology because most of the microbial community is dormant and inactive, which complicates linking microbial populations to ecosystem processes. DNA-qSIP is increasingly practiced in a range of laboratories, using different equipment, isotopes, substrates, and protocols, making comparison of results among different research groups challenging. Here we describe the development of internal standards, 2 pieces of DNA with different isotopic content and hence buoyant density, that can be added to environmental DNA before isopycnic centrifugation. Our results show the internal DNA standards allow DNA-qSIP results to be compared across laboratories and could contribute to the formation of a large DNA-qSIP database that contains growth or nutrient assimilation rates of microbial taxa from many different experiments.

microbiology↗

bioRxiv2025

Drought reduces formation, but enhances persistence, of mineral-associated organic matter in a grassland soil

Drought effects are pervasive in many terrestrial ecosystems, yet little is known about the impact of drought on the transformation of plant C inputs to mineral-associated organic matter (MAOM) - the largest and slowest-cycling pool of organic carbon (C) on land. Using 13C-CO2 greenhouse labeling chambers, we tracked the formation of 13C-MAOM derived from Avena barbata living root inputs (13C-rhizodeposits) versus A. barbata decaying root inputs (13C-root detritus) under normal moisture and spring drought conditions in a semi-arid grassland soil, and then tested the durability of this 13C-MAOM in a subsequent persistence assay. Overall, drought reduced formation of MAOM - both per gram of soil and across the entire soil profile. Notably, drought conditions enhanced the persistence of MAOM derived from root detritus, though not of MAOM derived from rhizodeposition. Drought had the most pronounced effect on MAOM accrual from rhizodeposition late in plant development (week 12) whereas it had the most pronounced effect on MAOM accrual from root detritus early in root decomposition (week 4). These temporal responses were associated with distinct trajectories in microbial community-level growth rates, the average mass of OM compounds, and the number of unique metabolites within each habitat. Our results provide mechanistic evidence that drought reduces overall formation of MAOM but can enhance its persistence in a grassland soil.

ecology↗

bioRxiv2025

Specialist Generalist Trade Offs in Microbial Growth Rates Across Soil Habitats

Microbial ecological strategies are shaped by a fundamental trade-off: is it better to specialize and thrive in a narrow niche or generalize and persist across diverse environments? In soils, this trade-off is particularly relevant in the rhizosphere and detritusphere, where microorganisms encounter distinct resource inputs from living and decaying roots. Using H {superscript 1} O quantitative stable isotope probing (qSIP), we measured in situ bacterial and fungal growth rates in the rhizosphere, the root detritusphere, and in the combined presence of rhizosphere + root detritus to test whether specialists--microbes growing in a single habitat--grow faster than generalists that persist across multiple environments. Specialists grew consistently faster than generalists, suggesting a trade-off between the breadth of environmental conditions a microorganism can tolerate and its ability to grow quickly in a specific habitat. This cost to broad niche adaptation was apparent for bacteria, but growth rates of fungal saprotrophs varied little between specialists and generalists, reflecting how fundamental differences in life-history strategies between bacteria and fungi can shape microbial responses to resource availability and habitat heterogeneity. Net relatedness and nearest taxon indices indicated total bacterial communities were phylogenetically clustered while specialist and generalist communities were phylogenetically random, suggesting that functional traits, not lineage, best predict ecological strategy. In annual grassland soils, fast-growing specialists may dominate ecosystem processes when resources abound, and slow-growing generalists may sustain element transformations when conditions shift; understanding this interplay is key to predicting soil-carbon trajectories.

microbiology↗

bioRxiv2025

Composition, growth, succession, and function in the Cladophora microbiome: insights from quantitative Stable Isotope Probing and NanoSIMS imaging

The branching green macroalga Cladophora glomerata and its epiphytic microbiome dominate summer biomass in the Eel River, a Northern California river under Mediterranean (summer drought, winter rain) seasonality. Green Cladophora streamers proliferate in early summer, then change to yellow and then red-brown as epiphyte loads increase. We characterized successional changes in epiphytic bacteria on Cladophora, examining both community composition and growth rates, using quantitative Stable Isotope Probing (qSIP) and16S rRNA gene amplicon sequencing. The number of bacterial taxa increased with succession while growth rates peaked in the middle stage. NanoSIMS imaging confirmed high sulfur (S) concentrations in Cladophora cell walls relative to surrounding biomass, coinciding with a bloom of sulfur bacteria (bacteria that reduce or oxidize sulfur/sulfates). In general, relative abundances and growth rates were independent, indicating that either metric alone is insufficient for understanding how taxonomy and functional groups affect ecosystem processes. For instance, the relative abundance of nitrogen fixers peaked in the late summer when their relative growth rates were slowest. Such patterns may be driven by space competition limiting growth. Together, changes in abundance and relative growth rates suggest different limiting factors for different functional groups in the Cladophora microbiome at multiple successional stages.

microbiology↗

bioRxiv2023

Reply to: Contribution of carbon inputs to soil carbon accumulation cannot be neglected

In the accompanying Comment1, He et al. argue that the determinant role of microbial carbon use efficiency in global soil organic carbon (SOC) storage shown in Tao et al. (2023)2 was overestimated because carbon inputs were neglected in our data analysis while they suggest that our model-based analysis could be biased and model-dependent. Their argument is based on a different choice of independent variables in the data analysis and a sensitivity analysis of two process-based models other than that used in our study. We agree that both carbon inputs and outputs (as mediated by microbial processes) matter when predicting SOC storage - the question is their relative contributions. While we encourage further studies to examine how the evaluation of the relative importance of CUE to global SOC storage may vary with different model structures, He et al.s claims about Tao et al. (2023) need to be taken as an alternative, unproven hypothesis until empirical data support their specific parameterization. Here we show that an additional literature assessment of global data does not support He et al.s argument, in contrast to our study, and that further study on this topic is essential.

ecology↗

bioRxiv2022

Divergent microbial traits influence the transformation of living versus dead root inputs to soil carbon

Soil microorganisms influence the global carbon cycle by transforming plant inputs into soil organic carbon (SOC), but the microbial traits that facilitate this process are unresolved. While current theory and biogeochemical models suggest microbial carbon-use efficiency and growth rate are positive predictors of SOC, recent observations demonstrate these relationships can be positive, negative, or neutral. To parse these contradictory effects, we used a 13C-labeling experiment to test whether different microbial traits influenced the transformation of plant C into SOC within the microbial habitats surrounding living root inputs (rhizosphere) versus decaying root litter (detritusphere), under both normal soil moisture and droughted conditions. In the rhizosphere, bacterial-dominated communities with fast growth, high carbon-use efficiency, and high production of extracellular polymeric substances formed microbial-derived SOC under normal moisture conditions. However, in the detritusphere - and the rhizosphere under drought - more fungal-dominated communities with slower growth but higher exoenzyme activity formed plant-derived SOC. These findings emphasize that microbial traits linked with SOC accrual are not universal, but contingent on how microorganisms allocate carbon under different resource conditions and environmental stressors.

ecology↗

bioRxiv2022

Quantitative stable-isotope probing (qSIP) with metagenomics links microbial physiology and activity to soil moisture in Mediterranean-climate grassland ecosystems

The growth and physiology of soil microorganisms, which play vital roles in biogeochemical cycling, are likely dependent on current and prior soil moisture levels. Here, we developed and applied a genome-resolved metagenomic implementation of quantitative stable isotope probing (qSIP) to an H218O labeling experiment to determine which microbial community members, and with what capacities, are growing under in situ conditions. qSIP enabled measurement of taxon-specific growth because isotopic incorporation into microbial DNA requires production of new genome copies. We studied three Mediterranean grassland soils across a rainfall gradient to evaluate the hypothesis that historic precipitation levels are an important factor controlling trait selection. We used qSIP-informed genome-resolved metagenomics to resolve an active subset of soil community members and identify the ecophysiological traits that characterize them. Higher year-round precipitation levels correlated with higher activity and growth rates of flagellar motile microorganisms. In addition to bacteria that were heavily isotopically labeled, we identified abundant isotope-labeled phages suggesting phage-induced cell lysis likely contributed to necromass production at all three sites. Further, there was a positive correlation between phage activity and the activity of putative phage hosts. Contrary to our expectations, the capabilities to decompose the diverse complex carbohydrates common in soil necromass or oxidize methanol and carbon monoxide were broadly distributed across active and inactive bacteria in all three soils, implying that these traits are not highly selected for by historical precipitation.

microbiology↗

bioRxiv2021

Active communities and growth of soil microorganisms are framed by mean annual precipitation in three California annual grasslands

Earth system models project altered precipitation regimes across much of the globe; in California, the winter wet season is predicted to extend into spring, and the summer dry period to lengthen. How these precipitation trends will affect microbial traits and soil carbon (C) cycling is a key knowledge gap. Specifically, we do not have a mechanistic understanding of the linkages between soil moisture legacy effects, microbial population dynamics and soil C persistence. Using quantitative stable isotope probing (qSIP), we compared total and growing soil microbial communities across three California annual grasslands that span a rainfall gradient yet developed on similar parent material. We also assessed multiple edaphic variables, including the radiocarbon (14C) age of soil C, and found soil C turnover time increased with annual precipitation, but that soil microbes respired recently-fixed C regardless of site rainfall history. Samples were assayed in the wet season, when we expected environmental conditions would be most similar across sites. We hypothesized that growing communities would be more compositionally similar across the gradient than the total background microbiome. We also predicted that the long-term legacy effect of soil water limitation would be reflected in a lower community growth capacity at the driest site. We found that the proportion of the total community that was detected as growing was 28%, 48% and 58% at the wet, intermediate and dry sites, respectively. The composition of growing communities strongly resembled that of total communities, and growing communities were no more similar across the gradient than total communities, indicating a strong effect of climate of the structure of growing microbial communities. Members of three phyla, Acidobacteria, Actinobacteria, and Proteobacteria, were responsible for [~]79% of the cumulative 18O assimilation and 80% of all taxa that we defined as growers. Bacterial growth rates were low at the driest site relative to the intermediate and wettest sites. Reduced growth at the driest site was observed across major phyla, including the Actinobacteria, Acidobacteria, Bacteroidetes, Gemmatimonadetes and Proteobacteria. Microbial communities at the driest site displayed phylogenetic clustering, suggesting that climate history impacts microbial growth through environmental filtering for slow growing taxa. Taxonomic identity was a strong predictor of growth, such that the growth rates of a taxon at one site predicted its growth rates at the others. This cross-site coherence in growth is likely a consequence of genetically determined physiological traits, and is consistent with the idea that evolutionary history influences growth rate.

ecology↗

bioRxiv2021

Edaphic controls on genome size and GC content of bacteria in soil microbial communities

Bacteria in soil microbial communities are crucial to terrestrial ecosystem function, yet our understanding of the fundamental characteristics of their genomes, such as GC content and genome size, is not complete. Much of our understanding of the mechanisms which shape their genomic traits is derived from other systems or from isolated bacteria. Here we determined average genome size, GC content, codon usage, and amino acid content from 398 soil metagenomes across a broad geographic range and used machine-learning to determine which environmental parameters most strongly explain the distribution of these traits. We found that genomic trait averages were most related to pH, which we suggest is primarily due to the correlation of pH with several environmental parameters, especially soil carbon content. Low pH soils had higher carbon to nitrogen ratios (C:N) and tended to have communities with lower GC content and larger genomes, potentially a response to increased physiological stress and a requirement for metabolic diversity. Conversely, smaller genomes with high GC content were associated with high pH and low soil C:N, indicating potential resource driven selection against AT base pairs. As soil bacteria tend to be more carbon limited, smaller genomes with higher GC content may reduce the cost of reproduction in carbon-limited soils. Similarly, we found that nutrient conservation also applied to amino acid stoichiometry, where bacteria in soils with low C:N ratios tended to code for amino acids with lower C:N. Together, these relationships point towards fundamental mechanisms that underpin nucleotide and amino acid selection in soil bacterial communities.

ecology↗

bioRxiv2021

Soil, ocean, hot spring, and host-associated environments reveal unique selection pressures on genomic features of bacteria in microbial communities

Free-living bacteria in nutrient limited environments often exhibit small genomes which curb the cost of reproduction - a phenomenon known as genomic streamlining. Streamlining has been associated with a suite of traits such as reduced GC content, fewer 16S rRNA copies, and a lower abundance of regulatory genes, such as sigma ({sigma}) factors. Here, we analyzed these traits from 116 publicly available metagenomes derived from marine, soil, host associated, and thermophilic communities. In marine and thermophilic communities, genome size and GC content declined in parallel, but GC content was higher in thermophilic communities. In soils, the relationship between genome size and GC content was negative, suggesting a different selection pressure on genome size and GC content in soil bacteria. The abundance of {sigma}-factors varied with average genome size, ecosystem type, and the specific functions regulated by the sigma factor. In marine environments, housekeeping and heat-shock {sigma}-factor genes (rpoD and rpoH respectively) increased as genome size declined, and {sigma}-factor responsible for flagella biosynthesis (fliA) decreased, suggesting a trade-off between nutrient conservation and chemotaxis. In soils, a high abundance of fliA and the stress response {sigma}-factor gene (rpoS) was associated with smaller average genome size and often located in harsh and/or carbon-limited environments such as deserts or agricultural fields - suggesting an increased capacity for stress response and mobility in nutrient-poor soils. This work showcases how ecosystem-specific environmental constraints force trade-offs which are then embedded in the genomic features of bacteria in microbial communities, specifically genome size, GC content, and regulatory genes, and further highlights the importance of considering these features in microbial community analysis.

microbiology↗

bioRxiv2021

Rapid response of nitrogen cycling gene transcription to labile carbon amendments in a soil microbial community

Episodic inputs of labile carbon (C) to soil can rapidly stimulate nitrogen (N) immobilization by soil microorganisms. However, the transcriptional patterns that underlie this process remain unclear. In order to better understand the regulation of N cycling in soil microbial communities, we conducted a 48 h laboratory incubation with an agricultural soil where we stimulated the uptake of inorganic N by amending the soil with glucose. We analyzed the metagenome and metatranscriptome of the microbial communities at four timepoints that corresponded with changes in N availability. The relative abundances of genes remained largely unchanged throughout the incubation. In contrast, glucose addition rapidly increased transcription of genes encoding for ammonium and nitrate transporters, enzymes responsible for N assimilation into biomass, and genes associated with the N regulatory network. This upregulation coincided with an increase in transcripts associated with glucose breakdown and oxoglutarate production, demonstrating a connection between C and N metabolism. When concentrations of ammonium were low, we observed a transient upregulation of genes associated with the nitrogen fixing enzyme nitrogenase. Transcripts for nitrification and denitrification were downregulated throughout the incubation, suggesting that dissimilatory transformations of N may be suppressed in response to labile C inputs in these soils. These results demonstrate that soil microbial communities can respond rapidly to changes in C availability by drastically altering the transcription of N cycling genes. IMPORTANCEA large portion of activity in soil microbial communities occurs in short time frames in response to an increase in C availability, affecting the biogeochemical cycling of nitrogen. These changes are of particular importance as nitrogen represents both a limiting nutrient for terrestrial plants as well as a potential pollutant. However, we lack a full understanding of the short-term effects of labile carbon inputs on the metabolism of microbes living in soil. Here, we found that soil microbial communities responded to labile carbon addition by rapidly transcribing genes encoding proteins and enzymes responsible for inorganic nitrogen acquisition, including nitrogen fixation. This work demonstrates that soil microbial communities respond within hours to carbon inputs through altered gene expression. These insights are essential for improved understanding of the microbial processes governing soil organic matter production, decomposition, and nutrient cycling in natural and agricultural ecosystems.

microbiology↗

bioRxiv2021

Leakiness at the human-animal interface in Southeast Asia and implications for the spread of antibiotic resistance

International efforts to curb antimicrobial resistance have focused on drug development and limiting unnecessary use. However, in areas where water, sanitation, and hygiene infrastructure is lacking, and where biosecurity in food-animal production is poor, pathogen-flow between humans and animals could exacerbate the emergence and spread of resistant pathogens. Here, we compared mobile resistance elements among Escherichia coli recovered from humans and meat in Cambodia, a country with substantial connectivity between humans and animals, unregulated antibiotic use, and poor environmental controls. We identified multiple resistance-encoding plasmids and a novel, blaCTX-M and qnrS1-encoding transposon that were widely dispersed in both humans and animals, a phenomenon rarely observed in high-income settings. Our findings indicate that plugging leaks at human-animal interfaces should be a critical part of addressing antimicrobial resistance in low and middle-income countries.

ecology↗

bioRxiv2021

Mechanistic insights into the success of xenobiotic degraders resolved from metagenomes of microbial enrichment cultures

Even though microbial communities can be more effective at degrading xenobiotics than cultured micro-organisms, yet little is known about the microbial strategies that underpin xenobiotic biodegradation by microbial communities. Here, we employ metagenomic community sequencing to explore the mechanisms that drive the development of 49 xenobiotic-degrading microbial communities, which were enriched from 7 contaminated soils or sediments with a range of xenobiotic compounds. We show that multiple microbial strategies likely drive the development of xenobiotic degrading communities, notably (i) presence of genes encoding catabolic enzymes to degrade xenobiotics; (ii) presence of genes encoding efflux pumps; (iii) auxiliary catabolic genes on plasmids; and (iv) positive interactions dominate microbial communities with efficient degradation. Overall, the integrated analyses of microbial ecological strategies advance our understanding of microbial processes driving the biodegradation of xenobiotics and promote the design of bioremediation systems.

microbiology↗

bioRxiv2021

The Functional Significance of Bacterial Predators

Predation structures food webs, influences energy flow, and alters rates and pathways of nutrient cycling through ecosystems, effects that are well documented for macroscopic predators. In the microbial world, predatory bacteria are common, yet little is known about their rates of growth and roles in energy flows through microbial food webs, in part because these are difficult to quantify. Here, we show that growth and carbon uptake were higher in predatory bacteria compared to non-predatory bacteria, a finding across 15 sites, synthesizing 82 experiments and over 100,000 taxon-specific measurements of element flow into newly synthesized bacterial DNA. Obligate predatory bacteria grew 36% faster and assimilated carbon at rates 211% higher than non-predatory bacteria. These differences were less pronounced for facultative predators (6% higher growth rates, 17% higher carbon assimilation rates), though high growth and carbon assimilation rates were observed for some facultative predators, such as members of the genera Lysobacter and Cytophaga, both capable of gliding motility and wolfpack hunting behavior. Added carbon substrates disproportionately stimulated growth of obligate predators, with responses 63% higher than non-predators for the Bdellovibrionales and 81% higher for the Vampirovibrionales, whereas responses of facultative predators to substrate addition were no different from non-predators. This finding supports ecological theory that higher productivity increases predator control of lower trophic levels. These findings also indicate that the functional significance of bacterial predators increases with energy flow, and that predatory bacteria influence element flow through microbial food webs.

ecology↗

bioRxiv2020

Stable isotope informed genome-resolved metagenomics uncovers potential trophic interactions in rhizosphere soil

The functioning, health, and productivity of soil is intimately tied to a complex network of interactions, particularly in plant root-associated rhizosphere soil. We conducted a stable isotope-informed, genome-resolved metagenomic study to trace carbon from Avena fatua grown in a 13CO2 atmosphere into soil. We collected paired rhizosphere and non-rhizosphere soil at six and nine weeks of plant growth and extracted DNA that was then separated by density using gradient centrifugation. Thirty-two fractions from each sample were grouped by density, sequenced, assembled, and binned to generate 55 unique microbial genomes that were >70% complete. The complete 18S rRNA sequences of several micro-eukaryotic bacterivores and fungi were enriched in 13C. We generated several circularized bacteriophage (phage) genomes, some of which were the most labelled entities in the rhizosphere. CRISPR locus targeting connected one of these phage to a Burkholderiales host predicted to be a plant pathogen. Another highly labeled phage is predicted to replicate in a Catenulispora sp., a possible plant growth-promoting bacterium. We searched the genomes for traits known to be used in interactions involving bacteria, micro-eukaryotes and plant roots and found that heavily isotopically-labeled bacteria have the ability to modulate plant signaling hormones, possess numerous plant pathogenicity factors, and produce toxins targeting micro-eukaryotes. Overall, 13C stable isotope-informed genome-resolved metagenomics revealed that very active bacteria often have the potential for strong interactions with plants and directly established that phage can be important agents of turnover of plant-derived carbon in soil.

microbiology↗

bioRxiv2020

Measurement error and resolution in quantitative stable isotope probing: implications for experimental design

Quantitative stable isotope probing (qSIP) estimates the degree of incorporation of an isotope tracer into nucleic acids of metabolically active organisms and can be applied to microorganisms growing in complex communities, such as the microbiomes of soil or water. As such, qSIP has the potential to link microbial biodiversity and biogeochemistry. As with any technique involving quantitative estimation, qSIP involves measurement error; a more complete understanding of error, precision and statistical power will aid in the design of qSIP experiments and interpretation of qSIP data. We used several existing qSIP datasets of microbial communities found in soil and water to evaluate how variance in the estimate of isotope incorporation depends on organism abundance and on the resolution of the density fractionation scheme. We also assessed statistical power for replicated qSIP studies, and sensitivity and specificity for unreplicated designs. We found that variance declines as taxon abundance increases. Increasing the number of density fractions reduces variance, although the benefit of added fractions declines as the number of fractions increases. Specifically, nine fractions appear to be a reasonable tradeoff between cost and precision for most qSIP applications. Increasing replication improves power and reduces the minimum detectable threshold for inferring isotope uptake to 5 atom%. Finally, we provide evidence for the importance of internal standards to calibrate the %GC to mean weighted density regression per sample. These results should benefit those designing future SIP experiments, and provide a reference for metagenomic SIP applications where financial and computational limitations constrain experimental scope. ImportanceOne of the biggest challenges in microbial ecology is correlating the identity of microorganisms with the roles they fulfill in natural environmental systems. Studies of microbes in pure culture reveal much about genomic content and potential functions, but may not reflect an organisms activity within its natural community. Culture-independent studies supply a community-wide view of composition and function in the context of community interactions, but fail to link the two. Quantitative stable isotope probing (qSIP) is a method that can link the identity and function of specific microbes within a naturally occurring community. Here we explore how the resolution of density-gradient fractionation affects the error and precision of qSIP results, how they may be improved via additional replication, and cost-benefit balanced scenarios for SIP experimental design.

microbiology↗