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Elevated CO2 influences microbial carbon and nitrogen cycling

Overview of attention for article published in BMC Microbiology, May 2013
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Title
Elevated CO2 influences microbial carbon and nitrogen cycling
Published in
BMC Microbiology, May 2013
DOI 10.1186/1471-2180-13-124
Pubmed ID
Authors

Meiying Xu, Zhili He, Ye Deng, Liyou Wu, Joy D van Nostrand, Sarah E Hobbie, Peter B Reich, Jizhong Zhou

Abstract

Elevated atmospheric CO₂ (eCO₂) has been shown to have significant effects on terrestrial ecosystems. However, little is known about its influence on the structure, composition, and functional potential of soil microbial communities, especially carbon (C) and nitrogen (N) cycling. A high-throughput functional gene array (GeoChip 3.0) was used to examine the composition, structure, and metabolic potential of soil microbial communities from a grassland field experiment after ten-year field exposure to ambient and elevated CO₂ concentrations. Distinct microbial communities were established under eCO₂. The abundance of three key C fixation genes encoding ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), carbon monoxide dehydrogenase (CODH) and propionyl-CoA/acetyl-CoA carboxylase (PCC/ACC), significantly increased under eCO₂, and so did some C degrading genes involved in starch, cellulose, and hemicellulose. Also, nifH and nirS involved in N cycling were significantly stimulated. In addition, based on variation partitioning analysis (VPA), the soil microbial community structure was largely shaped by direct and indirect eCO₂-driven factors. These findings suggest that the soil microbial community structure and their ecosystem functioning for C and N cycling were altered dramatically at eCO₂. This study provides new insights into our understanding of the feedback response of soil microbial communities to elevated CO₂ and global change.

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Student > Master 10 15%
Researcher 9 13%
Student > Doctoral Student 6 9%
Professor 5 7%
Other 11 16%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 49%
Environmental Science 14 21%
Biochemistry, Genetics and Molecular Biology 2 3%
Engineering 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 12 18%