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

Overview of attention for article published in Frontiers in Microbiology, March 2017
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Title
Microbial Abundances Predict Methane and Nitrous Oxide Fluxes from a Windrow Composting System
Published in
Frontiers in Microbiology, March 2017
DOI 10.3389/fmicb.2017.00409
Pubmed ID
Authors

Shuqing Li, Lina Song, Xiang Gao, Yaguo Jin, Shuwei Liu, Qirong Shen, Jianwen Zou

Abstract

Manure composting is a significant source of atmospheric methane (CH4) and nitrous oxide (N2O) that are two potent greenhouse gases. The CH4 and N2O fluxes are mediated by methanogens and methanotrophs, nitrifying and denitrifying bacteria in composting manure, respectively, while these specific bacterial functional groups may interplay in CH4 and N2O emissions during manure composting. To test the hypothesis that bacterial functional gene abundances regulate greenhouse gas fluxes in windrow composting systems, CH4 and N2O fluxes were simultaneously measured using the chamber method, and molecular techniques were used to quantify the abundances of CH4-related functional genes (mcrA and pmoA genes) and N2O-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 CH4 and N2O fluxes were correlated with abundances of specific compositional genes in bacterial community. The stepwise regression statistics selected pile temperature, mcrA and NH4(+) together as the best predictors for CH4 fluxes, and the model integrating nirK, nosZ with pmoA gene abundances can almost fully explain the dynamics of N2O 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 CH4 and N2O fluxes to elevated atmospheric CO2 concentration and rising temperature. Microbial abundances could be included as indicators in the current carbon and nitrogen biogeochemical models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 20%
Researcher 8 13%
Student > Master 6 10%
Student > Bachelor 6 10%
Student > Doctoral Student 2 3%
Other 7 12%
Unknown 19 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 25%
Environmental Science 12 20%
Medicine and Dentistry 3 5%
Engineering 2 3%
Chemistry 2 3%
Other 5 8%
Unknown 21 35%