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Title: Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon

Abstract

Abstract The susceptibility of soil organic carbon (SOC) in tundra to microbial decomposition under warmer climate scenarios potentially threatens a massive positive feedback to climate change, but the underlying mechanisms of stable SOC decomposition remain elusive. Herein, Alaskan tundra soils from three depths (a fibric O horizon with litter and course roots, an O horizon with decomposing litter and roots, and a mineral-organic mix, laying just above the permafrost) were incubated. Resulting respiration data were assimilated into a 3-pool model to derive decomposition kinetic parameters for fast, slow, and passive SOC pools. Bacterial, archaeal, and fungal taxa and microbial functional genes were profiled throughout the 3-year incubation. Correlation analyses and a Random Forest approach revealed associations between model parameters and microbial community profiles, taxa, and traits. There were more associations between the microbial community data and the SOC decomposition parameters of slow and passive SOC pools than those of the fast SOC pool. Also, microbial community profiles were better predictors of model parameters in deeper soils, which had higher mineral contents and relatively greater quantities of old SOC than in surface soils. Overall, our analyses revealed the functional potential of microbial communities to decompose tundra SOC through a suite ofmore » specialized genes and taxa. These results portray divergent strategies by which microbial communities access SOC pools across varying depths, lending mechanistic insights into the vulnerability of what is considered stable SOC in tundra regions.« less

Authors:
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Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
2281279
Alternate Identifier(s):
OSTI ID: 1580991
Grant/Contract Number:  
DESC0010715; AC02-05CH11231; SC0004601; SC0010715; SC0006982; SC0014085
Resource Type:
Published Article
Journal Name:
The ISME Journal
Additional Journal Information:
Journal Name: The ISME Journal Journal Volume: 13 Journal Issue: 12; Journal ID: ISSN 1751-7362
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Hale, Lauren, Feng, Wenting, Yin, Huaqun, Guo, Xue, Zhou, Xishu, Bracho, Rosvel, Pegoraro, Elaine, Penton, C. Ryan, Wu, Liyou, Cole, James, Konstantinidis, Konstantinos T., Luo, Yiqi, Tiedje, James M., Schuur, Edward A. G., and Zhou, Jizhong. Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon. United Kingdom: N. p., 2019. Web. doi:10.1038/s41396-019-0485-x.
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Hale, Lauren, Feng, Wenting, Yin, Huaqun, Guo, Xue, Zhou, Xishu, Bracho, Rosvel, Pegoraro, Elaine, Penton, C. Ryan, Wu, Liyou, Cole, James, Konstantinidis, Konstantinos T., Luo, Yiqi, Tiedje, James M., Schuur, Edward A. G., & Zhou, Jizhong. Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon. United Kingdom. https://doi.org/10.1038/s41396-019-0485-x
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Hale, Lauren, Feng, Wenting, Yin, Huaqun, Guo, Xue, Zhou, Xishu, Bracho, Rosvel, Pegoraro, Elaine, Penton, C. Ryan, Wu, Liyou, Cole, James, Konstantinidis, Konstantinos T., Luo, Yiqi, Tiedje, James M., Schuur, Edward A. G., and Zhou, Jizhong. Mon . "Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon". United Kingdom. https://doi.org/10.1038/s41396-019-0485-x.
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@article{osti_2281279,
title = {Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon},
author = {Hale, Lauren and Feng, Wenting and Yin, Huaqun and Guo, Xue and Zhou, Xishu and Bracho, Rosvel and Pegoraro, Elaine and Penton, C. Ryan and Wu, Liyou and Cole, James and Konstantinidis, Konstantinos T. and Luo, Yiqi and Tiedje, James M. and Schuur, Edward A. G. and Zhou, Jizhong},
abstractNote = {Abstract The susceptibility of soil organic carbon (SOC) in tundra to microbial decomposition under warmer climate scenarios potentially threatens a massive positive feedback to climate change, but the underlying mechanisms of stable SOC decomposition remain elusive. Herein, Alaskan tundra soils from three depths (a fibric O horizon with litter and course roots, an O horizon with decomposing litter and roots, and a mineral-organic mix, laying just above the permafrost) were incubated. Resulting respiration data were assimilated into a 3-pool model to derive decomposition kinetic parameters for fast, slow, and passive SOC pools. Bacterial, archaeal, and fungal taxa and microbial functional genes were profiled throughout the 3-year incubation. Correlation analyses and a Random Forest approach revealed associations between model parameters and microbial community profiles, taxa, and traits. There were more associations between the microbial community data and the SOC decomposition parameters of slow and passive SOC pools than those of the fast SOC pool. Also, microbial community profiles were better predictors of model parameters in deeper soils, which had higher mineral contents and relatively greater quantities of old SOC than in surface soils. Overall, our analyses revealed the functional potential of microbial communities to decompose tundra SOC through a suite of specialized genes and taxa. These results portray divergent strategies by which microbial communities access SOC pools across varying depths, lending mechanistic insights into the vulnerability of what is considered stable SOC in tundra regions.},
doi = {10.1038/s41396-019-0485-x},
journal = {The ISME Journal},
number = 12,
volume = 13,
place = {United Kingdom},
year = {Mon Aug 05 00:00:00 EDT 2019},
month = {Mon Aug 05 00:00:00 EDT 2019}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1038/s41396-019-0485-x
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Cited by: 19 works
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Figures / Tables:

Fig. 1 Fig. 1: Stacked bar plots show estimated cumulative respiration (CR) from each SOC pool and total measured cumulative respiration over the 3-year incubation. Estimated CR from the decomposition of the fast, slow and passive SOC pools were calculated using a 3-pool model. Measured CR corresponds to the CR quantified duringmore » the incubation. Data are from samples incubated at 15 °C. The samples incubated at 25 °C follow the same trend (not shown here, but data provided in Table S2)« less
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