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DOI10.1038/s41467-019-11488-z
Microbial carbon use efficiency predicted from genome-scale metabolic models
Saifuddin, Mustafa; Bhatnagar, Jennifer M.; Segre, Daniel; Finzi, Adrien C.
发表日期2019
ISSN2041-1723
卷号10
英文摘要

Respiration by soil bacteria and fungi is one of the largest fluxes of carbon (C) from the land surface. Although this flux is a direct product of microbial metabolism, controls over metabolism and their responses to global change are a major uncertainty in the global C cycle. Here, we explore an in silico approach to predict bacterial C-use efficiency (CUE) for over 200 species using genome-specific constraint-based metabolic modeling. We find that potential CUE averages 0.62 +/- 0.17 with a range of 0.22 to 0.98 across taxa and phylogenetic structuring at the subphylum levels. Potential CUE is negatively correlated with genome size, while taxa with larger genomes are able to access a wider variety of C substrates. Incorporating the range of CUE values reported here into a next-generation model of soil biogeochemistry suggests that these differences in physiology across microbial taxa can feed back on soil-C cycling.


WOS研究方向Science & Technology - Other Topics
来源期刊NATURE COMMUNICATIONS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/101771
作者单位Boston Univ, Boston, MA 02215 USA
推荐引用方式
GB/T 7714
Saifuddin, Mustafa,Bhatnagar, Jennifer M.,Segre, Daniel,et al. Microbial carbon use efficiency predicted from genome-scale metabolic models[J],2019,10.
APA Saifuddin, Mustafa,Bhatnagar, Jennifer M.,Segre, Daniel,&Finzi, Adrien C..(2019).Microbial carbon use efficiency predicted from genome-scale metabolic models.NATURE COMMUNICATIONS,10.
MLA Saifuddin, Mustafa,et al."Microbial carbon use efficiency predicted from genome-scale metabolic models".NATURE COMMUNICATIONS 10(2019).
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