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

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

doi:10.1038/s41396-019-0485-x

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

Journal Article · Mon Aug 05 00:00:00 EDT 2019 · The ISME Journal

DOI:https://doi.org/10.1038/s41396-019-0485-x· OSTI ID:2281279

; ; Yin, Huaqun; ; ; Bracho, Rosvel; Pegoraro, Elaine; ; Wu, Liyou; Cole, James; Konstantinidis, Konstantinos T.; Luo, Yiqi; Tiedje, James M.; Schuur, Edward A. G.; Zhou, Jizhong

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.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231; SC0004601; SC0006982; SC0010715; SC0014085

OSTI ID:: 2281279

Alternate ID(s):: OSTI ID: 1580991

Journal Information:: The ISME Journal, Journal Name: The ISME Journal Journal Issue: 12 Vol. 13; ISSN 1751-7362

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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