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Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System

Manure composting is a significant source of atmospheric methane (CH(4)) and nitrous oxide (N(2)O) that are two potent greenhouse gases. The CH(4) and N(2)O fluxes are mediated by methanogens and methanotrophs, nitrifying and denitrifying bacteria in composting manure, respectively, while these spec...

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Autores principales: Li, Shuqing, Song, Lina, Gao, Xiang, Jin, Yaguo, Liu, Shuwei, Shen, Qirong, Zou, Jianwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357657/
https://www.ncbi.nlm.nih.gov/pubmed/28373862
http://dx.doi.org/10.3389/fmicb.2017.00409
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author Li, Shuqing
Song, Lina
Gao, Xiang
Jin, Yaguo
Liu, Shuwei
Shen, Qirong
Zou, Jianwen
author_facet Li, Shuqing
Song, Lina
Gao, Xiang
Jin, Yaguo
Liu, Shuwei
Shen, Qirong
Zou, Jianwen
author_sort Li, Shuqing
collection PubMed
description Manure composting is a significant source of atmospheric methane (CH(4)) and nitrous oxide (N(2)O) that are two potent greenhouse gases. The CH(4) and N(2)O fluxes are mediated by methanogens and methanotrophs, nitrifying and denitrifying bacteria in composting manure, respectively, while these specific bacterial functional groups may interplay in CH(4) and N(2)O emissions during manure composting. To test the hypothesis that bacterial functional gene abundances regulate greenhouse gas fluxes in windrow composting systems, CH(4) and N(2)O fluxes were simultaneously measured using the chamber method, and molecular techniques were used to quantify the abundances of CH(4)-related functional genes (mcrA and pmoA genes) and N(2)O-related functional genes (amoA, narG, nirK, nirS, norB, and nosZ genes). The results indicate that changes in interacting physicochemical parameters in the pile shaped the dynamics of bacterial functional gene abundances. The CH(4) and N(2)O fluxes were correlated with abundances of specific compositional genes in bacterial community. The stepwise regression statistics selected pile temperature, mcrA and NH(4)(+) together as the best predictors for CH(4) fluxes, and the model integrating nirK, nosZ with pmoA gene abundances can almost fully explain the dynamics of N(2)O fluxes over windrow composting. The simulated models were tested against measurements in paddy rice cropping systems, indicating that the models can also be applicable to predicting the response of CH(4) and N(2)O fluxes to elevated atmospheric CO(2) concentration and rising temperature. Microbial abundances could be included as indicators in the current carbon and nitrogen biogeochemical models.
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spelling pubmed-53576572017-04-03 Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System Li, Shuqing Song, Lina Gao, Xiang Jin, Yaguo Liu, Shuwei Shen, Qirong Zou, Jianwen Front Microbiol Microbiology Manure composting is a significant source of atmospheric methane (CH(4)) and nitrous oxide (N(2)O) that are two potent greenhouse gases. The CH(4) and N(2)O fluxes are mediated by methanogens and methanotrophs, nitrifying and denitrifying bacteria in composting manure, respectively, while these specific bacterial functional groups may interplay in CH(4) and N(2)O emissions during manure composting. To test the hypothesis that bacterial functional gene abundances regulate greenhouse gas fluxes in windrow composting systems, CH(4) and N(2)O fluxes were simultaneously measured using the chamber method, and molecular techniques were used to quantify the abundances of CH(4)-related functional genes (mcrA and pmoA genes) and N(2)O-related functional genes (amoA, narG, nirK, nirS, norB, and nosZ genes). The results indicate that changes in interacting physicochemical parameters in the pile shaped the dynamics of bacterial functional gene abundances. The CH(4) and N(2)O fluxes were correlated with abundances of specific compositional genes in bacterial community. The stepwise regression statistics selected pile temperature, mcrA and NH(4)(+) together as the best predictors for CH(4) fluxes, and the model integrating nirK, nosZ with pmoA gene abundances can almost fully explain the dynamics of N(2)O fluxes over windrow composting. The simulated models were tested against measurements in paddy rice cropping systems, indicating that the models can also be applicable to predicting the response of CH(4) and N(2)O fluxes to elevated atmospheric CO(2) concentration and rising temperature. Microbial abundances could be included as indicators in the current carbon and nitrogen biogeochemical models. Frontiers Media S.A. 2017-03-20 /pmc/articles/PMC5357657/ /pubmed/28373862 http://dx.doi.org/10.3389/fmicb.2017.00409 Text en Copyright © 2017 Li, Song, Gao, Jin, Liu, Shen and Zou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Li, Shuqing
Song, Lina
Gao, Xiang
Jin, Yaguo
Liu, Shuwei
Shen, Qirong
Zou, Jianwen
Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title_full Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title_fullStr Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title_full_unstemmed Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title_short Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
title_sort microbial abundances predict methane and nitrous oxide fluxes from a windrow composting system
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357657/
https://www.ncbi.nlm.nih.gov/pubmed/28373862
http://dx.doi.org/10.3389/fmicb.2017.00409
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