Enhancing Microbiome Research through Genome-Scale Metabolic Modeling

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 ope...

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Autores principales: Ankrah, Nana Y. D., Bernstein, David B., Biggs, Matthew, Carey, Maureen, Engevik, Melinda, García-Jiménez, Beatriz, Lakshmanan, Meiyappan, Pacheco, Alan R., Sulheim, Snorre, Medlock, Gregory L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670372/
https://www.ncbi.nlm.nih.gov/pubmed/34904863
http://dx.doi.org/10.1128/mSystems.00599-21
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author Ankrah, Nana Y. D.
Bernstein, David B.
Biggs, Matthew
Carey, Maureen
Engevik, Melinda
García-Jiménez, Beatriz
Lakshmanan, Meiyappan
Pacheco, Alan R.
Sulheim, Snorre
Medlock, Gregory L.
author_facet Ankrah, Nana Y. D.
Bernstein, David B.
Biggs, Matthew
Carey, Maureen
Engevik, Melinda
García-Jiménez, Beatriz
Lakshmanan, Meiyappan
Pacheco, Alan R.
Sulheim, Snorre
Medlock, Gregory L.
author_sort Ankrah, Nana Y. D.
collection PubMed
description 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.
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spelling pubmed-86703722021-12-27 Enhancing Microbiome Research through Genome-Scale Metabolic Modeling Ankrah, Nana Y. D. Bernstein, David B. Biggs, Matthew Carey, Maureen Engevik, Melinda García-Jiménez, Beatriz Lakshmanan, Meiyappan Pacheco, Alan R. Sulheim, Snorre Medlock, Gregory L. mSystems Perspective 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. American Society for Microbiology 2021-12-14 /pmc/articles/PMC8670372/ /pubmed/34904863 http://dx.doi.org/10.1128/mSystems.00599-21 Text en Copyright © 2021 Ankrah et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Ankrah, Nana Y. D.
Bernstein, David B.
Biggs, Matthew
Carey, Maureen
Engevik, Melinda
García-Jiménez, Beatriz
Lakshmanan, Meiyappan
Pacheco, Alan R.
Sulheim, Snorre
Medlock, Gregory L.
Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title_full Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title_fullStr Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title_full_unstemmed Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title_short Enhancing Microbiome Research through Genome-Scale Metabolic Modeling
title_sort enhancing microbiome research through genome-scale metabolic modeling
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670372/
https://www.ncbi.nlm.nih.gov/pubmed/34904863
http://dx.doi.org/10.1128/mSystems.00599-21
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