Cargando…
Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India
BACKGROUND: The health index of any population is directly correlated with the water quality, which in turn depends upon physicochemical characteristics and the microbiome of that aquatic source. For maintaining the water quality, knowledge of microbial diversity is a must. The present investigation...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684477/ https://www.ncbi.nlm.nih.gov/pubmed/38015339 http://dx.doi.org/10.1186/s43141-023-00601-x |
_version_ | 1785151408363798528 |
---|---|
author | Brar, Bhavna Kumar, Ravi Sharma, Dixit Sharma, Amit Kumar Thakur, Kushal Mahajan, Danish Kumar, Rakesh |
author_facet | Brar, Bhavna Kumar, Ravi Sharma, Dixit Sharma, Amit Kumar Thakur, Kushal Mahajan, Danish Kumar, Rakesh |
author_sort | Brar, Bhavna |
collection | PubMed |
description | BACKGROUND: The health index of any population is directly correlated with the water quality, which in turn depends upon physicochemical characteristics and the microbiome of that aquatic source. For maintaining the water quality, knowledge of microbial diversity is a must. The present investigation attempts to evaluate the microflora of Baner. Metagenomics has been proven to be the technique for examining the genetic diversity of unculturable microbiota without using traditional culturing techniques. The microbial profile of Baner is analyzed using metagenomics for the first time to the best of our knowledge. RESULTS: To explore the microbial diversity of Baner, metagenomics analysis from 3 different sites was done. Data analysis identified 29 phyla, 62 classes, 131 orders, 268 families, and 741 genera. Proteobacteria was found to be the most abundant phylum in all the sampling sites, with the highest abundance at S(3) sampling site (94%). Bacteroidetes phylum was found to be second abundant in S(1) and S(2) site, whereas Actinobacteria was second dominant in sampling site S(3). Enterobacteriaceae family was dominant in site S1, whereas Comamonadaceae and Pseudomonadaceae was abundant in sites S(2) and S(3) respectively. The Baner possesses an abundant bacterial profile that holds great promise for developing bioremediation tactics against a variety of harmful substances. CONCLUSION: Baner river’s metagenomic analysis offers the first insight into the microbial profile of this hilly stream. Proteobacteria was found to be the most abundant phylum in all the sampling sites indicating anthropogenic interference and sewage contamination. The highest abundance of proteobacteria at S(3) reveals it to be the most polluted site, as it is the last sampling site downstream of the area under investigation, and falls after crossing the main city, so more human intervention and pollution were observed. Despite some pathogens, a rich profile of bacteria involved in bioremediation, xenobiotic degradation, and beneficial fish probiotics was observed, reflecting their potential applications for improving water quality and establishing a healthy aquaculture and fishery section. |
format | Online Article Text |
id | pubmed-10684477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106844772023-11-30 Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India Brar, Bhavna Kumar, Ravi Sharma, Dixit Sharma, Amit Kumar Thakur, Kushal Mahajan, Danish Kumar, Rakesh J Genet Eng Biotechnol Research BACKGROUND: The health index of any population is directly correlated with the water quality, which in turn depends upon physicochemical characteristics and the microbiome of that aquatic source. For maintaining the water quality, knowledge of microbial diversity is a must. The present investigation attempts to evaluate the microflora of Baner. Metagenomics has been proven to be the technique for examining the genetic diversity of unculturable microbiota without using traditional culturing techniques. The microbial profile of Baner is analyzed using metagenomics for the first time to the best of our knowledge. RESULTS: To explore the microbial diversity of Baner, metagenomics analysis from 3 different sites was done. Data analysis identified 29 phyla, 62 classes, 131 orders, 268 families, and 741 genera. Proteobacteria was found to be the most abundant phylum in all the sampling sites, with the highest abundance at S(3) sampling site (94%). Bacteroidetes phylum was found to be second abundant in S(1) and S(2) site, whereas Actinobacteria was second dominant in sampling site S(3). Enterobacteriaceae family was dominant in site S1, whereas Comamonadaceae and Pseudomonadaceae was abundant in sites S(2) and S(3) respectively. The Baner possesses an abundant bacterial profile that holds great promise for developing bioremediation tactics against a variety of harmful substances. CONCLUSION: Baner river’s metagenomic analysis offers the first insight into the microbial profile of this hilly stream. Proteobacteria was found to be the most abundant phylum in all the sampling sites indicating anthropogenic interference and sewage contamination. The highest abundance of proteobacteria at S(3) reveals it to be the most polluted site, as it is the last sampling site downstream of the area under investigation, and falls after crossing the main city, so more human intervention and pollution were observed. Despite some pathogens, a rich profile of bacteria involved in bioremediation, xenobiotic degradation, and beneficial fish probiotics was observed, reflecting their potential applications for improving water quality and establishing a healthy aquaculture and fishery section. Springer Berlin Heidelberg 2023-11-28 /pmc/articles/PMC10684477/ /pubmed/38015339 http://dx.doi.org/10.1186/s43141-023-00601-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Brar, Bhavna Kumar, Ravi Sharma, Dixit Sharma, Amit Kumar Thakur, Kushal Mahajan, Danish Kumar, Rakesh Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title | Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title_full | Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title_fullStr | Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title_full_unstemmed | Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title_short | Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India |
title_sort | metagenomic analysis reveals diverse microbial community and potential functional roles in baner rivulet, india |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684477/ https://www.ncbi.nlm.nih.gov/pubmed/38015339 http://dx.doi.org/10.1186/s43141-023-00601-x |
work_keys_str_mv | AT brarbhavna metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT kumarravi metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT sharmadixit metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT sharmaamitkumar metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT thakurkushal metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT mahajandanish metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia AT kumarrakesh metagenomicanalysisrevealsdiversemicrobialcommunityandpotentialfunctionalrolesinbanerrivuletindia |