TY - JOUR
T1 - Quantitative Stable-Isotope Probing (qSIP) with Metagenomics Links Microbial Physiology and Activity to Soil Moisture in Mediterranean-Climate Grassland Ecosystems
AU - Greenlon, Alex
AU - Sieradzki, Ella
AU - Zablocki, Olivier
AU - Koch, Benjamin J.
AU - Foley, Megan M.
AU - Kimbrel, Jeffrey A.
AU - Hungate, Bruce A.
AU - Blazewicz, Steven J.
AU - Nuccio, Erin E.
AU - Sun, Christine L.
AU - Chew, Aaron
AU - Mancilla, Cynthia Jeanette
AU - Sullivan, Matthew B.
AU - Firestone, Mary
AU - Pett-Ridge, Jennifer
AU - Banfield, Jillian F.
N1 - Publisher Copyright:
© 2022 American Society for Microbiology. All rights reserved.
PY - 2022/12
Y1 - 2022/12
N2 - The growth and physiology of soil microorganisms, which play vital roles in biogeochemical cycling, are shaped by both current and historical soil environmental conditions. Here, we developed and applied a genome-resolved metagenomic implementation of quantitative stable isotope probing (qSIP) with an H218O labeling experiment to identify actively growing soil microorganisms and their genomic capacities. 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 the active subset of soil community members and identify their characteristic ecophysiological traits. Higher year-round precipitation levels correlated with higher activity and growth rates of flagellar motile microorganisms. In addition to heavily isotopically labeled bacteria, 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 capacity to decompose the diverse complex carbohydrates common in soil organic matter 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.
AB - The growth and physiology of soil microorganisms, which play vital roles in biogeochemical cycling, are shaped by both current and historical soil environmental conditions. Here, we developed and applied a genome-resolved metagenomic implementation of quantitative stable isotope probing (qSIP) with an H218O labeling experiment to identify actively growing soil microorganisms and their genomic capacities. 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 the active subset of soil community members and identify their characteristic ecophysiological traits. Higher year-round precipitation levels correlated with higher activity and growth rates of flagellar motile microorganisms. In addition to heavily isotopically labeled bacteria, 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 capacity to decompose the diverse complex carbohydrates common in soil organic matter 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.
KW - metagenome-assembled genomes
KW - metagenomics
KW - soil microbiome
KW - soil moisture
KW - stable isotope probing
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U2 - 10.1128/msystems.00417-22
DO - 10.1128/msystems.00417-22
M3 - Article
AN - SCOPUS:85143672694
SN - 2379-5077
VL - 7
JO - mSystems
JF - mSystems
IS - 6
M1 - e00417-22
ER -