Nutrients cause consolidation of soil carbon flux to small proportion of bacterial community
Bram W. Stone (),
Junhui Li,
Benjamin J. Koch,
Steven J. Blazewicz,
Paul Dijkstra,
Michaela Hayer,
Kirsten S. Hofmockel,
Xiao-Jun Allen Liu,
Rebecca L. Mau,
Ember M. Morrissey,
Jennifer Pett-Ridge,
Egbert Schwartz and
Bruce A. Hungate
Additional contact information
Bram W. Stone: Pacific Northwest National Laboratory
Junhui Li: Northern Arizona University
Benjamin J. Koch: Northern Arizona University
Steven J. Blazewicz: Lawrence Livermore National Laboratory
Paul Dijkstra: Northern Arizona University
Michaela Hayer: Northern Arizona University
Kirsten S. Hofmockel: Pacific Northwest National Laboratory
Xiao-Jun Allen Liu: University of Oklahoma
Rebecca L. Mau: Northern Arizona University
Ember M. Morrissey: West Virginia University
Jennifer Pett-Ridge: Lawrence Livermore National Laboratory
Egbert Schwartz: Northern Arizona University
Bruce A. Hungate: Northern Arizona University
Nature Communications, 2021, vol. 12, issue 1, 1-9
Abstract:
Abstract Nutrient amendment diminished bacterial functional diversity, consolidating carbon flow through fewer bacterial taxa. Here, we show strong differences in the bacterial taxa responsible for respiration from four ecosystems, indicating the potential for taxon-specific control over soil carbon cycling. Trends in functional diversity, defined as the richness of bacteria contributing to carbon flux and their equitability of carbon use, paralleled trends in taxonomic diversity although functional diversity was lower overall. Among genera common to all ecosystems, Bradyrhizobium, the Acidobacteria genus RB41, and Streptomyces together composed 45–57% of carbon flow through bacterial productivity and respiration. Bacteria that utilized the most carbon amendment (glucose) were also those that utilized the most native soil carbon, suggesting that the behavior of key soil taxa may influence carbon balance. Mapping carbon flow through different microbial taxa as demonstrated here is crucial in developing taxon-sensitive soil carbon models that may reduce the uncertainty in climate change projections.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23676-x
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DOI: 10.1038/s41467-021-23676-x
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