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Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment

Microorganisms have a wonderful ability to adapt rapidly to new or altered environmental conditions. Enzymes are the basis of metabolism in all living organisms and, therefore, enzyme adaptation plays a crucial role in the adaptation of microorganisms. Comparisons of homology and parallel beneficial...

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Autor principal: Suenaga, Hikaru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585196/
https://www.ncbi.nlm.nih.gov/pubmed/26441940
http://dx.doi.org/10.3389/fmicb.2015.01018
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author Suenaga, Hikaru
author_facet Suenaga, Hikaru
author_sort Suenaga, Hikaru
collection PubMed
description Microorganisms have a wonderful ability to adapt rapidly to new or altered environmental conditions. Enzymes are the basis of metabolism in all living organisms and, therefore, enzyme adaptation plays a crucial role in the adaptation of microorganisms. Comparisons of homology and parallel beneficial mutations in an enzyme family provide valuable hints of how an enzyme adapted to an ecological system; consequently, a series of enzyme collections is required to investigate enzyme evolution. Targeted metagenomics is a promising tool for the construction of enzyme pools and for studying the adaptive evolution of enzymes. This perspective article presents a summary of targeted metagenomic approaches useful for this purpose.
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spelling pubmed-45851962015-10-05 Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment Suenaga, Hikaru Front Microbiol Microbiology Microorganisms have a wonderful ability to adapt rapidly to new or altered environmental conditions. Enzymes are the basis of metabolism in all living organisms and, therefore, enzyme adaptation plays a crucial role in the adaptation of microorganisms. Comparisons of homology and parallel beneficial mutations in an enzyme family provide valuable hints of how an enzyme adapted to an ecological system; consequently, a series of enzyme collections is required to investigate enzyme evolution. Targeted metagenomics is a promising tool for the construction of enzyme pools and for studying the adaptive evolution of enzymes. This perspective article presents a summary of targeted metagenomic approaches useful for this purpose. Frontiers Media S.A. 2015-09-22 /pmc/articles/PMC4585196/ /pubmed/26441940 http://dx.doi.org/10.3389/fmicb.2015.01018 Text en Copyright © 2015 Suenaga. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Suenaga, Hikaru
Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title_full Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title_fullStr Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title_full_unstemmed Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title_short Targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
title_sort targeted metagenomics unveils the molecular basis for adaptive evolution of enzymes to their environment
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585196/
https://www.ncbi.nlm.nih.gov/pubmed/26441940
http://dx.doi.org/10.3389/fmicb.2015.01018
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