Microbial regulation of the soil carbon cycle: evidence from gene–enzyme relationships
Abstract
A deficit of empirical evidence for the microbial regulation of ecosystem processes, including carbon (C) degradation, hinders our ability to develop a framework to directly incorporate the genetic composition of microbial communities in the enzyme-driven Earth system models. Herein we evaluated the linkage between microbial functional genes and extracellular enzyme activity in soil samples collected across three geographical regions of Australia. We found a strong relationship between different functional genes and their corresponding enzyme activities. This relationship was maintained after considering microbial community structure, total C and soil pH using structural equation modelling. Findings showed that the variations in the activity of enzymes involved in C degradation were predicted by the functional gene abundance of the soil microbial community (R2>0.90 in all cases). Our results provide a strong framework for improved predictions on soil C dynamics that could be achieved by adopting a gene-centric approach incorporating the abundance of functional genes into process models.
- Authors:
-
- Univ. of Western Sydney, NSW (Australia). Hawkesbury Inst. for the Environment
- Univ. of Melbourne (Australia)
- Univ. of Oklahoma, Norman, OK (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tsinghua Univ., Beijing (China)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1567069
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The ISME Journal
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 11; Journal ID: ISSN 1751-7362
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Trivedi, Pankaj, Delgado-Baquerizo, Manuel, Trivedi, Chanda, Hu, Hangwei, Anderson, Ian C., Jeffries, Thomas C., Zhou, Jizhong, and Singh, Brajesh K. Microbial regulation of the soil carbon cycle: evidence from gene–enzyme relationships. United States: N. p., 2016.
Web. doi:10.1038/ismej.2016.65.
Trivedi, Pankaj, Delgado-Baquerizo, Manuel, Trivedi, Chanda, Hu, Hangwei, Anderson, Ian C., Jeffries, Thomas C., Zhou, Jizhong, & Singh, Brajesh K. Microbial regulation of the soil carbon cycle: evidence from gene–enzyme relationships. United States. https://doi.org/10.1038/ismej.2016.65
Trivedi, Pankaj, Delgado-Baquerizo, Manuel, Trivedi, Chanda, Hu, Hangwei, Anderson, Ian C., Jeffries, Thomas C., Zhou, Jizhong, and Singh, Brajesh K. Tue .
"Microbial regulation of the soil carbon cycle: evidence from gene–enzyme relationships". United States. https://doi.org/10.1038/ismej.2016.65. https://www.osti.gov/servlets/purl/1567069.
@article{osti_1567069,
title = {Microbial regulation of the soil carbon cycle: evidence from gene–enzyme relationships},
author = {Trivedi, Pankaj and Delgado-Baquerizo, Manuel and Trivedi, Chanda and Hu, Hangwei and Anderson, Ian C. and Jeffries, Thomas C. and Zhou, Jizhong and Singh, Brajesh K.},
abstractNote = {A deficit of empirical evidence for the microbial regulation of ecosystem processes, including carbon (C) degradation, hinders our ability to develop a framework to directly incorporate the genetic composition of microbial communities in the enzyme-driven Earth system models. Herein we evaluated the linkage between microbial functional genes and extracellular enzyme activity in soil samples collected across three geographical regions of Australia. We found a strong relationship between different functional genes and their corresponding enzyme activities. This relationship was maintained after considering microbial community structure, total C and soil pH using structural equation modelling. Findings showed that the variations in the activity of enzymes involved in C degradation were predicted by the functional gene abundance of the soil microbial community (R2>0.90 in all cases). Our results provide a strong framework for improved predictions on soil C dynamics that could be achieved by adopting a gene-centric approach incorporating the abundance of functional genes into process models.},
doi = {10.1038/ismej.2016.65},
journal = {The ISME Journal},
number = 11,
volume = 10,
place = {United States},
year = {Tue May 10 00:00:00 EDT 2016},
month = {Tue May 10 00:00:00 EDT 2016}
}
Web of Science
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