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Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere

While biodegradable polymers have received increased attention due to the recent marine plastic problem, few studies have compared microbiomes and their degradation processes among biodegradable polymers. In this study, we set up prompt evaluation systems for polymer degradation, allowing us to coll...

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Autores principales: Yokoyama, Daiki, Takamura, Ayari, Tsuboi, Yuuri, Kikuchi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317964/
https://www.ncbi.nlm.nih.gov/pubmed/37400632
http://dx.doi.org/10.1038/s43705-023-00275-z
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author Yokoyama, Daiki
Takamura, Ayari
Tsuboi, Yuuri
Kikuchi, Jun
author_facet Yokoyama, Daiki
Takamura, Ayari
Tsuboi, Yuuri
Kikuchi, Jun
author_sort Yokoyama, Daiki
collection PubMed
description While biodegradable polymers have received increased attention due to the recent marine plastic problem, few studies have compared microbiomes and their degradation processes among biodegradable polymers. In this study, we set up prompt evaluation systems for polymer degradation, allowing us to collect 418 microbiome and 125 metabolome samples to clarify the microbiome and metabolome differences according to degradation progress and polymer material (polycaprolactone [PCL], polybutylene succinate-co-adipate [PBSA], polybutylene succinate [PBS], polybutylene adipate-co-terephthalate [PBAT], and poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) [PHBH]). The microbial community compositions were converged to each polymer material, and the largest differences were observed between PHBH and other polymers. Such gaps were probably formed primarily by the presence of specific hydrolase genes (i.e., 3HB depolymerase, lipase, and cutinase) in the microorganisms. Time-series sampling suggested several steps for microbial succession: (1) initial microbes decrease abruptly after incubation starts; (2) microbes, including polymer degraders, increase soon after the start of incubation and show an intermediate peak; (3) microbes, including biofilm constructers, increase their abundance gradually. Metagenome prediction showed functional changes, where free-swimming microbes with flagella adhered stochastically onto the polymer, and certain microbes started to construct a biofilm. Our large-dataset-based results provide robust interpretations for biodegradable polymer degradation. [Image: see text]
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spelling pubmed-103179642023-07-05 Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere Yokoyama, Daiki Takamura, Ayari Tsuboi, Yuuri Kikuchi, Jun ISME Commun Article While biodegradable polymers have received increased attention due to the recent marine plastic problem, few studies have compared microbiomes and their degradation processes among biodegradable polymers. In this study, we set up prompt evaluation systems for polymer degradation, allowing us to collect 418 microbiome and 125 metabolome samples to clarify the microbiome and metabolome differences according to degradation progress and polymer material (polycaprolactone [PCL], polybutylene succinate-co-adipate [PBSA], polybutylene succinate [PBS], polybutylene adipate-co-terephthalate [PBAT], and poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) [PHBH]). The microbial community compositions were converged to each polymer material, and the largest differences were observed between PHBH and other polymers. Such gaps were probably formed primarily by the presence of specific hydrolase genes (i.e., 3HB depolymerase, lipase, and cutinase) in the microorganisms. Time-series sampling suggested several steps for microbial succession: (1) initial microbes decrease abruptly after incubation starts; (2) microbes, including polymer degraders, increase soon after the start of incubation and show an intermediate peak; (3) microbes, including biofilm constructers, increase their abundance gradually. Metagenome prediction showed functional changes, where free-swimming microbes with flagella adhered stochastically onto the polymer, and certain microbes started to construct a biofilm. Our large-dataset-based results provide robust interpretations for biodegradable polymer degradation. [Image: see text] Nature Publishing Group UK 2023-07-03 /pmc/articles/PMC10317964/ /pubmed/37400632 http://dx.doi.org/10.1038/s43705-023-00275-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yokoyama, Daiki
Takamura, Ayari
Tsuboi, Yuuri
Kikuchi, Jun
Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title_full Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title_fullStr Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title_full_unstemmed Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title_short Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
title_sort large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317964/
https://www.ncbi.nlm.nih.gov/pubmed/37400632
http://dx.doi.org/10.1038/s43705-023-00275-z
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