Tundra microbial community taxa and traits predict decomposition parameters of stable, old soil organic carbon
Year: 2019
Type: article
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.
Source: The ISME Journal
Institutions: Agricultural Research Service, San Joaquin Valley Agricultural Sciences Center, University of Oklahoma, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Central South University, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, University of Florida, Northern Arizona University, Arizona State University, Michigan State University, Georgia Institute of Technology, Lawrence Berkeley National Laboratory
Language: English
Subfield: Soil Science
Domain: Life Sciences
SDGs: Climate action, Life on land
Open Access status: bronze
Funder: U.S. Department of Energy
Awards: TAS::89 0222::TAS FROM COMMUNITY STRUCTURE TO FUNCTIONS: METAGENOMICS-ENABLED PREDICTIVE UNDERSTANDING OF TEMPERATURE SENSITIVITY OF SOIL CARBON DECO, EFFECTS OF WARMING THE DEEP SOIL AND PERMAFROST ON ECOSYSTEM CARBON BALANCE IN ALASKAN TUNDRA: A COUPLED MEASUREMENT AND MODELING APPROACH; PI: EDWAR, FROM STRUCTURE TO FUNCTIONS: METAGENOMICS-ENABLED PREDICTIVE UNDERSTANDING OF SOIL MICROBIAL FEEDBACKS TO CLIMATE CHANGE, REGIONAL VULNERABILITY OF PERMAFROST CARBON TO CLIMATE CHANGE: A MULTIFACTOR EXPERIMENT AND MODEL NETWORK
OpenAlex ID: W2966594508
