Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/593348
Title: Metagemic Analysis of River Ganga for Micribiome and its Putative Function
Researcher: Rout, Ajaya Kumar
Guide(s): Behera, Bhaskar and Behera, Bijay Kumar
Keywords: Biology and Biochemistry
Evolutionary Biology
Life Sciences
University: Fakir Mohan University, Balasore
Completed Date: 2024
Abstract: The Ganges river in India is more than 2,500 km long and has the most populated river basin in the world. However, due to continuous anthropogenic activities, the river s ecosystem is under threat. The problems would further be emphasized and likely to be far more serious in the coming years due to the accelerated pace of environmental degradation due to pollution and the impending climate change scenario. Microbial populations are sensitive to environmental and anthropogenic impacts and their resilience can be measured through spatial and temporal taxonomic and functional composition profiling. Metagenomics, or environmental genomics, is a culture and isolation independent method of studying microbial genetic material directly recovered from an environment. With this approach, compositional diversity and change can provide a sensitive tool for detection, identification and prediction of environmental conditions over space and time and in response to anthropogenic impacts. Due to pollution, microbial community are hypothesized to lead to loss of microbial diversity, changes in microbial community function and health ultimately decreasing our ecosystems quality and resilience with threats of increasing tolerance, persistence and geographic range of toxins, antibiotic resistance and opportunistic pathogens. In the present study, the structure of community microbiome in sediments of river Ganga at Kanpur, Prayagraj and Devprayag, India has been identified. newlineThe present study revealed bacterial diversity, community structure and their putative functions from polluted river sediment metagenomes. These findings will help identify bioremediating, probiotic microbes, xenobiotic, plastic degrading enzymes, and AMR genes, which will help in biotechnological and industrial applications in the future. newline
Pagination: 179
URI: http://hdl.handle.net/10603/593348
Appears in Departments:P.G Department of Bio Science and Bio Technology

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04_abstract.pdf123.93 kBAdobe PDFView/Open
05_chapter 1.pdf91.1 kBAdobe PDFView/Open
06_chapter 2.pdf156.1 kBAdobe PDFView/Open
07_chapter 3.pdf53.71 kBAdobe PDFView/Open
08_chapter 4.pdf2.22 MBAdobe PDFView/Open
09_chapter 5.pdf2.23 MBAdobe PDFView/Open
10_annexures.pdf11.8 MBAdobe PDFView/Open
11_chapter 6.pdf2 MBAdobe PDFView/Open
12_chapter 7.pdf2.49 MBAdobe PDFView/Open
80_recommendation.pdf102.54 kBAdobe PDFView/Open
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