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Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes

The microbiomes of deep and shallow aquifers located in an agricultural area, impacted by an old tin mine, were explored to understand spatial variation in microbial community structures and identify environmental factors influencing microbial distribution patterns through the analysis of 16S rRNA a...

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Autores principales: Sonthiphand, Prinpida, Rattanaroongrot, Pasunun, Mek-yong, Kasarnchon, Kusonmano, Kanthida, Rangsiwutisak, Chalida, Uthaipaisanwong, Pichahpuk, Chotpantarat, Srilert, Termsaithong, Teerasit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798605/
https://www.ncbi.nlm.nih.gov/pubmed/33510973
http://dx.doi.org/10.7717/peerj.10653
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author Sonthiphand, Prinpida
Rattanaroongrot, Pasunun
Mek-yong, Kasarnchon
Kusonmano, Kanthida
Rangsiwutisak, Chalida
Uthaipaisanwong, Pichahpuk
Chotpantarat, Srilert
Termsaithong, Teerasit
author_facet Sonthiphand, Prinpida
Rattanaroongrot, Pasunun
Mek-yong, Kasarnchon
Kusonmano, Kanthida
Rangsiwutisak, Chalida
Uthaipaisanwong, Pichahpuk
Chotpantarat, Srilert
Termsaithong, Teerasit
author_sort Sonthiphand, Prinpida
collection PubMed
description The microbiomes of deep and shallow aquifers located in an agricultural area, impacted by an old tin mine, were explored to understand spatial variation in microbial community structures and identify environmental factors influencing microbial distribution patterns through the analysis of 16S rRNA and aioA genes. Although Proteobacteria, Cyanobacteria, Actinobacteria, Patescibacteria, Bacteroidetes, and Epsilonbacteraeota were widespread across the analyzed aquifers, the dominant taxa found in each aquifer were unique. The co-dominance of Burkholderiaceae and Gallionellaceae potentially controlled arsenic immobilization in the aquifers. Analysis of the aioA gene suggested that arsenite-oxidizing bacteria phylogenetically associated with Alpha-, Beta-, and Gamma proteobacteria were present at low abundance (0.85 to 37.13%) and were more prevalent in shallow aquifers and surface water. The concentrations of dissolved oxygen and total phosphorus significantly governed the microbiomes analyzed in this study, while the combination of NO(3)(-)-N concentration and oxidation-reduction potential significantly influenced the diversity and abundance of arsenite-oxidizing bacteria in the aquifers. The knowledge of microbial community structures and functions in relation to deep and shallow aquifers is required for further development of sustainable aquifer management.
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spelling pubmed-77986052021-01-27 Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes Sonthiphand, Prinpida Rattanaroongrot, Pasunun Mek-yong, Kasarnchon Kusonmano, Kanthida Rangsiwutisak, Chalida Uthaipaisanwong, Pichahpuk Chotpantarat, Srilert Termsaithong, Teerasit PeerJ Genetics The microbiomes of deep and shallow aquifers located in an agricultural area, impacted by an old tin mine, were explored to understand spatial variation in microbial community structures and identify environmental factors influencing microbial distribution patterns through the analysis of 16S rRNA and aioA genes. Although Proteobacteria, Cyanobacteria, Actinobacteria, Patescibacteria, Bacteroidetes, and Epsilonbacteraeota were widespread across the analyzed aquifers, the dominant taxa found in each aquifer were unique. The co-dominance of Burkholderiaceae and Gallionellaceae potentially controlled arsenic immobilization in the aquifers. Analysis of the aioA gene suggested that arsenite-oxidizing bacteria phylogenetically associated with Alpha-, Beta-, and Gamma proteobacteria were present at low abundance (0.85 to 37.13%) and were more prevalent in shallow aquifers and surface water. The concentrations of dissolved oxygen and total phosphorus significantly governed the microbiomes analyzed in this study, while the combination of NO(3)(-)-N concentration and oxidation-reduction potential significantly influenced the diversity and abundance of arsenite-oxidizing bacteria in the aquifers. The knowledge of microbial community structures and functions in relation to deep and shallow aquifers is required for further development of sustainable aquifer management. PeerJ Inc. 2021-01-08 /pmc/articles/PMC7798605/ /pubmed/33510973 http://dx.doi.org/10.7717/peerj.10653 Text en ©2021 Sonthiphand et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Genetics
Sonthiphand, Prinpida
Rattanaroongrot, Pasunun
Mek-yong, Kasarnchon
Kusonmano, Kanthida
Rangsiwutisak, Chalida
Uthaipaisanwong, Pichahpuk
Chotpantarat, Srilert
Termsaithong, Teerasit
Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title_full Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title_fullStr Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title_full_unstemmed Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title_short Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes
title_sort microbial community structure in aquifers associated with arsenic: analysis of 16s rrna and arsenite oxidase genes
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798605/
https://www.ncbi.nlm.nih.gov/pubmed/33510973
http://dx.doi.org/10.7717/peerj.10653
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