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宏基因组分析揭示了印度巴内尔小溪中多样的微生物群落及其潜在功能作用。

Metagenomic analysis reveals diverse microbial community and potential functional roles in Baner rivulet, India.

作者信息

Brar Bhavna, Kumar Ravi, Sharma Dixit, Sharma Amit Kumar, Thakur Kushal, Mahajan Danish, Kumar Rakesh

机构信息

Department of Animal Sciences, School of Life Sciences, Central University of Himachal Pradesh, Kangra, Himachal Pradesh, India.

Department of Microbiology, Dr. Rajendra Prasad Government Medical College & Hospital, Tanda, Kangra, Himachal Pradesh, India.

出版信息

J Genet Eng Biotechnol. 2023 Nov 28;21(1):147. doi: 10.1186/s43141-023-00601-x.

DOI:10.1186/s43141-023-00601-x
PMID:38015339
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10684477/
Abstract

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 sampling site (94%). Bacteroidetes phylum was found to be second abundant in S and S site, whereas Actinobacteria was second dominant in sampling site S. Enterobacteriaceae family was dominant in site S1, whereas Comamonadaceae and Pseudomonadaceae was abundant in sites S and S 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 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.

摘要

背景

任何人群的健康指数都与水质直接相关,而水质又取决于该水源的物理化学特征和微生物群落。为了维持水质,了解微生物多样性是必不可少的。本研究旨在评估巴纳尔的微生物群落。宏基因组学已被证明是一种无需使用传统培养技术就能检测不可培养微生物群遗传多样性的技术。据我们所知,首次使用宏基因组学分析了巴纳尔的微生物概况。

结果

为了探索巴纳尔的微生物多样性,对3个不同地点进行了宏基因组学分析。数据分析确定了29个门、62个纲、131个目、268个科和741个属。变形菌门被发现是所有采样点中最丰富的门,在S采样点丰度最高(94%)。拟杆菌门在S和S地点中是第二丰富的,而放线菌门在采样点S中是第二优势的。肠杆菌科在S1地点占主导地位,而丛毛单胞菌科和假单胞菌科分别在S和S地点丰富。巴纳尔拥有丰富的细菌群落,这为开发针对各种有害物质的生物修复策略带来了巨大希望。

结论

巴纳尔河的宏基因组学分析首次揭示了这条山间溪流的微生物概况。变形菌门被发现是所有采样点中最丰富的门,表明存在人为干扰和污水污染。S点变形菌门的丰度最高,表明它是污染最严重的地点,因为它是调查区域下游的最后一个采样点,且位于穿过主要城市之后,因此观察到更多的人为干预和污染。尽管存在一些病原体,但观察到参与生物修复、异生素降解和有益鱼类益生菌的细菌丰富,这反映了它们在改善水质以及建立健康的水产养殖和渔业方面的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/bd02f48b5235/43141_2023_601_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/73feb3b0daf7/43141_2023_601_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/6835a0742a84/43141_2023_601_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/46a196904148/43141_2023_601_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/bd02f48b5235/43141_2023_601_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/73feb3b0daf7/43141_2023_601_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/6835a0742a84/43141_2023_601_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/46a196904148/43141_2023_601_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f30/10684477/bd02f48b5235/43141_2023_601_Fig4_HTML.jpg

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