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Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation
The objective of this study is to understand the functional and metabolic potential of the microbial communities along the Apatlaco River and highlight activities related to bioremediation and its relationship with the Apatlaco’s pollutants, to enhance future design of more accurate bioremediation p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232204/ https://www.ncbi.nlm.nih.gov/pubmed/32290598 http://dx.doi.org/10.3390/microorganisms8040554 |
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author | Breton-Deval, Luz Sanchez-Reyes, Ayixon Sanchez-Flores, Alejandro Juárez, Katy Salinas-Peralta, Ilse Mussali-Galante, Patricia |
author_facet | Breton-Deval, Luz Sanchez-Reyes, Ayixon Sanchez-Flores, Alejandro Juárez, Katy Salinas-Peralta, Ilse Mussali-Galante, Patricia |
author_sort | Breton-Deval, Luz |
collection | PubMed |
description | The objective of this study is to understand the functional and metabolic potential of the microbial communities along the Apatlaco River and highlight activities related to bioremediation and its relationship with the Apatlaco’s pollutants, to enhance future design of more accurate bioremediation processes. Water samples were collected at four sampling sites along the Apatlaco River (S1–S4) and a whole metagenome shotgun sequencing was performed to survey and understand the microbial metabolic functions with potential for bioremediation. A HMMER search was used to detect sequence homologs related to polyethylene terephthalate (PET) and polystyrene biodegradation, along with bacterial metal tolerance in Apatlaco River metagenomes. Our results suggest that pollution is a selective pressure which enriches microorganisms at polluted sites, displaying metabolic capacities to tolerate and transform the contamination. According to KEGG annotation, all sites along the river have bacteria with genes related to xenobiotic biodegradation. In particular, functions such as environmental processing, xenobiotic biodegradation and glycan biosynthesis are over-represented in polluted samples, in comparison to those in the clean water site. This suggests a functional specialization in the communities that inhabit each perturbated point. Our results can contribute to the determination of the partition in a metabolic niche among different Apatlaco River prokaryotic communities, that help to contend with and understand the effect of anthropogenic contamination. |
format | Online Article Text |
id | pubmed-7232204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72322042020-05-22 Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation Breton-Deval, Luz Sanchez-Reyes, Ayixon Sanchez-Flores, Alejandro Juárez, Katy Salinas-Peralta, Ilse Mussali-Galante, Patricia Microorganisms Article The objective of this study is to understand the functional and metabolic potential of the microbial communities along the Apatlaco River and highlight activities related to bioremediation and its relationship with the Apatlaco’s pollutants, to enhance future design of more accurate bioremediation processes. Water samples were collected at four sampling sites along the Apatlaco River (S1–S4) and a whole metagenome shotgun sequencing was performed to survey and understand the microbial metabolic functions with potential for bioremediation. A HMMER search was used to detect sequence homologs related to polyethylene terephthalate (PET) and polystyrene biodegradation, along with bacterial metal tolerance in Apatlaco River metagenomes. Our results suggest that pollution is a selective pressure which enriches microorganisms at polluted sites, displaying metabolic capacities to tolerate and transform the contamination. According to KEGG annotation, all sites along the river have bacteria with genes related to xenobiotic biodegradation. In particular, functions such as environmental processing, xenobiotic biodegradation and glycan biosynthesis are over-represented in polluted samples, in comparison to those in the clean water site. This suggests a functional specialization in the communities that inhabit each perturbated point. Our results can contribute to the determination of the partition in a metabolic niche among different Apatlaco River prokaryotic communities, that help to contend with and understand the effect of anthropogenic contamination. MDPI 2020-04-12 /pmc/articles/PMC7232204/ /pubmed/32290598 http://dx.doi.org/10.3390/microorganisms8040554 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Breton-Deval, Luz Sanchez-Reyes, Ayixon Sanchez-Flores, Alejandro Juárez, Katy Salinas-Peralta, Ilse Mussali-Galante, Patricia Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title | Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title_full | Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title_fullStr | Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title_full_unstemmed | Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title_short | Functional Analysis of a Polluted River Microbiome Reveals a Metabolic Potential for Bioremediation |
title_sort | functional analysis of a polluted river microbiome reveals a metabolic potential for bioremediation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232204/ https://www.ncbi.nlm.nih.gov/pubmed/32290598 http://dx.doi.org/10.3390/microorganisms8040554 |
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