Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils
Abstract
Abstract Peatlands are among the largest natural sources of atmospheric methane (CH 4 ) worldwide. Microbial processes play a key role in regulating CH 4 emissions from peatland ecosystems, yet the complex interplay between soil substrates and microbial communities in controlling CH 4 emissions as a function of global change remains unclear. Herein, we performed an integrated analysis of multi‐omics data sets to provide a comprehensive understanding of the molecular processes driving changes in greenhouse gas (GHG) emissions in peatland ecosystems with increasing temperature and sulfate deposition in a laboratory incubation study. We sought to first investigate how increasing temperatures (4, 21, and 35°C) impact soil microbiome–metabolome interactions; then explore the competition between methanogens and sulfate‐reducing bacteria (SRBs) with increasing sulfate concentrations at the optimum temperature for methanogenesis. Our results revealed that peat soil organic matter degradation, mediated by biotic and potentially abiotic processes, is the main driver of the increase in CO 2 production with temperature. In contrast, the decrease in CH 4 production at 35°C was linked to the absence of syntrophic communities and the potential inhibitory effect of phenols on methanogens. Elevated temperatures further induced the microbial communities to develop high growth yield and stress tolerator trait‐basedmore »
- Authors:
-
[1];
[2];
[5]
- Department of Environmental Science The University of Arizona Tucson Arizona USA
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory Richland Washington USA
- Department of Chemistry and Biochemistry Lebanese University Beirut Lebanon
- Department of Earth, Ocean and Atmospheric Science Florida State University Tallahassee Florida USA
- Department of Environmental Science The University of Arizona Tucson Arizona USA, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory Richland Washington USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1923556
- Grant/Contract Number:
- DE‐SC0021349
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Global Change Biology
- Additional Journal Information:
- Journal Name: Global Change Biology Journal Volume: 29 Journal Issue: 7; Journal ID: ISSN 1354-1013
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
AminiTabrizi, Roya, Graf‐Grachet, Nathalia, Chu, Rosalie K., Toyoda, Jason G., Hoyt, David W., Hamdan, Rasha, Wilson, Rachel M., and Tfaily, Malak M. Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils. United Kingdom: N. p., 2023.
Web. doi:10.1111/gcb.16614.
AminiTabrizi, Roya, Graf‐Grachet, Nathalia, Chu, Rosalie K., Toyoda, Jason G., Hoyt, David W., Hamdan, Rasha, Wilson, Rachel M., & Tfaily, Malak M. Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils. United Kingdom. https://doi.org/10.1111/gcb.16614
AminiTabrizi, Roya, Graf‐Grachet, Nathalia, Chu, Rosalie K., Toyoda, Jason G., Hoyt, David W., Hamdan, Rasha, Wilson, Rachel M., and Tfaily, Malak M. Sun .
"Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils". United Kingdom. https://doi.org/10.1111/gcb.16614.
@article{osti_1923556,
title = {Microbial sensitivity to temperature and sulfate deposition modulates greenhouse gas emissions from peat soils},
author = {AminiTabrizi, Roya and Graf‐Grachet, Nathalia and Chu, Rosalie K. and Toyoda, Jason G. and Hoyt, David W. and Hamdan, Rasha and Wilson, Rachel M. and Tfaily, Malak M.},
abstractNote = {Abstract Peatlands are among the largest natural sources of atmospheric methane (CH 4 ) worldwide. Microbial processes play a key role in regulating CH 4 emissions from peatland ecosystems, yet the complex interplay between soil substrates and microbial communities in controlling CH 4 emissions as a function of global change remains unclear. Herein, we performed an integrated analysis of multi‐omics data sets to provide a comprehensive understanding of the molecular processes driving changes in greenhouse gas (GHG) emissions in peatland ecosystems with increasing temperature and sulfate deposition in a laboratory incubation study. We sought to first investigate how increasing temperatures (4, 21, and 35°C) impact soil microbiome–metabolome interactions; then explore the competition between methanogens and sulfate‐reducing bacteria (SRBs) with increasing sulfate concentrations at the optimum temperature for methanogenesis. Our results revealed that peat soil organic matter degradation, mediated by biotic and potentially abiotic processes, is the main driver of the increase in CO 2 production with temperature. In contrast, the decrease in CH 4 production at 35°C was linked to the absence of syntrophic communities and the potential inhibitory effect of phenols on methanogens. Elevated temperatures further induced the microbial communities to develop high growth yield and stress tolerator trait‐based strategies leading to a shift in their composition and function. On the other hand, SRBs were able to outcompete methanogens in the presence of non‐limiting sulfate concentrations at 21°C, thereby reducing CH 4 emissions. At higher sulfate concentrations, however, the prevalence of communities capable of producing sufficient low‐molecular‐weight carbon substrates for the coexistence of SRBs and methanogens was translated into elevated CH 4 emissions. The use of omics in this study enhanced our understanding of the structure and interactions among microbes with the abiotic components of the system that can be useful for mitigating GHG emissions from peatland ecosystems in the face of global change.},
doi = {10.1111/gcb.16614},
journal = {Global Change Biology},
number = 7,
volume = 29,
place = {United Kingdom},
year = {Sun Feb 05 00:00:00 EST 2023},
month = {Sun Feb 05 00:00:00 EST 2023}
}
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