Enhancing Microbiome Research through Genome-Scale Metabolic Modeling

被引：19

作者：

Ankrah, Nana Y. D. ^{[1
]}

Bernstein, David B. ^{[2
]}

Biggs, Matthew ^{[3
]}

Carey, Maureen ^{[4
]}

Engevik, Melinda ^{[5
]}

Garcia-Jimenez, Beatriz ^{[6
]}

Lakshmanan, Meiyappan ^{[7
,8
]}

Pacheco, Alan R. ^{[9
]}

Sulheim, Snorre ^{[10
]}

Medlock, Gregory L. ^{[11
]}

机构：

[1] SUNY Coll Plattsburgh, Plattsburgh, NY 12901 USA

[2] Univ Calif Berkeley, Berkeley, CA 94720 USA

[3] Sestina Bio, Pleasanton, CA USA

[4] Univ Virginia, Charlottesville, VA USA

[5] Med Univ South Carolina, Charleston, SC 29425 USA

[6] Biome Makers Inc, West Sacramento, CA USA

[7] ASTAR, Bioproc Technol Inst, Singapore, Singapore

[8] ASTAR, Bioinformat Inst, Singapore, Singapore

[9] Swiss Fed Inst Technol, Zurich, Switzerland

[10] SINTEF Ind, Trondheim, Norway

[11] Vedanta Biosci, Cambridge, MA 02139 USA

来源：

MSYSTEMS | 2021年 / 6卷 / 06期

基金：

美国国家卫生研究院;

关键词：

microbiome; metabolic modeling; metabolism; ESCHERICHIA-COLI; NETWORKS;

D O I：

10.1128/mSystems.00599-21

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

Construction and analysis of genome-scale metabolic models (GEMs) is a well-established systems biology approach that can be used to predict metabolic and growth phenotypes. The ability of GEMs to produce mechanistic insight into microbial ecological processes makes them appealing tools that can open a range of exciting opportunities in microbiome research. Here, we briefly outline these opportunities, present current rate-limiting challenges for the trustworthy application of GEMs to microbiome research, and suggest approaches for moving the field forward.

引用

页数：8

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