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Metagenomics-Based Bacterial Community Analysis: Assessment by Amplicon Sequencing of Tuva Timba and Dholera Hot-Water Springs, Gujarat, India


Affiliations
1 Department of Lifesciences, Gujarat University, Ahmedabad 380 009, India
2 Department of Animal Biotechnology, Anand Agricultural University, Anand 388 110, India
3 Xavier Research Foundation, Loyola Centre for Research and Development, Ahmedabad 380 009, India
 

Amplicon sequencing of extreme locations helps reveal the presence and abundance of diverse extremophiles within extreme environments. Firmicutes, Proteobacteria and Actinobacteria were identified as a major phyla using 16S rDNA amplicons from the soil and water samples of Tuva Timba and water samples of Dholera in Gujarat, India. Season-wise data when compared with location-wise data showed less diversity. The presence of thermophiles and sulphate-reducing taxa reveals a strong correlation of taxonomy with temperature and sulphate content of the samples. The clear cluster analysis within three sample groups reveals the importance of geographic as well as environmental factors for diverse bacterial community colonization.

Keywords

Amplicon Sequencing, Bacterial Community Analysis, Hot Springs, Metagenomics.
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  • Metagenomics-Based Bacterial Community Analysis: Assessment by Amplicon Sequencing of Tuva Timba and Dholera Hot-Water Springs, Gujarat, India

Abstract Views: 326  |  PDF Views: 125

Authors

Disha N. Patel
Department of Lifesciences, Gujarat University, Ahmedabad 380 009, India
Jalpa R. Thakkar
Department of Animal Biotechnology, Anand Agricultural University, Anand 388 110, India
Vincent J. Braganza
Xavier Research Foundation, Loyola Centre for Research and Development, Ahmedabad 380 009, India
Hasmukh A. Modi
Department of Lifesciences, Gujarat University, Ahmedabad 380 009, India

Abstract


Amplicon sequencing of extreme locations helps reveal the presence and abundance of diverse extremophiles within extreme environments. Firmicutes, Proteobacteria and Actinobacteria were identified as a major phyla using 16S rDNA amplicons from the soil and water samples of Tuva Timba and water samples of Dholera in Gujarat, India. Season-wise data when compared with location-wise data showed less diversity. The presence of thermophiles and sulphate-reducing taxa reveals a strong correlation of taxonomy with temperature and sulphate content of the samples. The clear cluster analysis within three sample groups reveals the importance of geographic as well as environmental factors for diverse bacterial community colonization.

Keywords


Amplicon Sequencing, Bacterial Community Analysis, Hot Springs, Metagenomics.



DOI: https://doi.org/10.18520/cs%2Fv119%2Fi10%2F1663-1670