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Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes

The accumulation of petroleum-based plastic waste has become a major issue for the environment. A sustainable and biodegradable solution can be found in Polyhydroxyalkanoates (PHAs), a microbially produced biopolymer. An analysis of the global phylogenetic and ecological distribution of potential PH...

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Autores principales: Vuong, Paton, Lim, Daniel J., Murphy, Daniel V., Wise, Michael J., Whiteley, Andrew S., Kaur, Parwinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312272/
https://www.ncbi.nlm.nih.gov/pubmed/34322108
http://dx.doi.org/10.3389/fmicb.2021.697309
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author Vuong, Paton
Lim, Daniel J.
Murphy, Daniel V.
Wise, Michael J.
Whiteley, Andrew S.
Kaur, Parwinder
author_facet Vuong, Paton
Lim, Daniel J.
Murphy, Daniel V.
Wise, Michael J.
Whiteley, Andrew S.
Kaur, Parwinder
author_sort Vuong, Paton
collection PubMed
description The accumulation of petroleum-based plastic waste has become a major issue for the environment. A sustainable and biodegradable solution can be found in Polyhydroxyalkanoates (PHAs), a microbially produced biopolymer. An analysis of the global phylogenetic and ecological distribution of potential PHA producing bacteria and archaea was carried out by mining a global genome repository for PHA synthase (PhaC), a key enzyme involved in PHA biosynthesis. Bacteria from the phylum Actinobacteria were found to contain the PhaC Class II genotype which produces medium-chain length PHAs, a physiology until now only found within a few Pseudomonas species. Further, several PhaC genotypes were discovered within Thaumarchaeota, an archaeal phylum with poly-extremophiles and the ability to efficiently use CO(2) as a carbon source, a significant ecological group which have thus far been little studied for PHA production. Bacterial and archaeal PhaC genotypes were also observed in high salinity and alkalinity conditions, as well as high-temperature geothermal ecosystems. These genome mining efforts uncovered previously unknown candidate taxa for biopolymer production, as well as microbes from environmental niches with properties that could potentially improve PHA production. This in silico study provides valuable insights into unique PHA producing candidates, supporting future bioprospecting efforts toward better targeted and relevant taxa to further enhance the diversity of exploitable PHA production systems.
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spelling pubmed-83122722021-07-27 Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes Vuong, Paton Lim, Daniel J. Murphy, Daniel V. Wise, Michael J. Whiteley, Andrew S. Kaur, Parwinder Front Microbiol Microbiology The accumulation of petroleum-based plastic waste has become a major issue for the environment. A sustainable and biodegradable solution can be found in Polyhydroxyalkanoates (PHAs), a microbially produced biopolymer. An analysis of the global phylogenetic and ecological distribution of potential PHA producing bacteria and archaea was carried out by mining a global genome repository for PHA synthase (PhaC), a key enzyme involved in PHA biosynthesis. Bacteria from the phylum Actinobacteria were found to contain the PhaC Class II genotype which produces medium-chain length PHAs, a physiology until now only found within a few Pseudomonas species. Further, several PhaC genotypes were discovered within Thaumarchaeota, an archaeal phylum with poly-extremophiles and the ability to efficiently use CO(2) as a carbon source, a significant ecological group which have thus far been little studied for PHA production. Bacterial and archaeal PhaC genotypes were also observed in high salinity and alkalinity conditions, as well as high-temperature geothermal ecosystems. These genome mining efforts uncovered previously unknown candidate taxa for biopolymer production, as well as microbes from environmental niches with properties that could potentially improve PHA production. This in silico study provides valuable insights into unique PHA producing candidates, supporting future bioprospecting efforts toward better targeted and relevant taxa to further enhance the diversity of exploitable PHA production systems. Frontiers Media S.A. 2021-07-12 /pmc/articles/PMC8312272/ /pubmed/34322108 http://dx.doi.org/10.3389/fmicb.2021.697309 Text en Copyright © 2021 Vuong, Lim, Murphy, Wise, Whiteley and Kaur. https://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) and the copyright owner(s) 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
Vuong, Paton
Lim, Daniel J.
Murphy, Daniel V.
Wise, Michael J.
Whiteley, Andrew S.
Kaur, Parwinder
Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title_full Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title_fullStr Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title_full_unstemmed Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title_short Developing Bioprospecting Strategies for Bioplastics Through the Large-Scale Mining of Microbial Genomes
title_sort developing bioprospecting strategies for bioplastics through the large-scale mining of microbial genomes
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312272/
https://www.ncbi.nlm.nih.gov/pubmed/34322108
http://dx.doi.org/10.3389/fmicb.2021.697309
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