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Metagenomic microbial community profiling of Unnai hot spring by Ion-Torrent based shotgun sequencing

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Abstract

This is the first report on depicting the pioneering microbiota of Unnai hot spring using shotgun metagenome sequencing approach. Community analysis encompassed a total of 688,059 sequences with the total size 125.31 Mbp and 46% G + C content. Sequencing metagenome reported about 992 species belonged to 40 different phyla dominated by Firmicutes (97.49%), Proteobacteria (1.36%), and Actinobacteria (0.31%). In functional analysis, Non-Supervised Orthologous Groups (NOG) annotation revealed the predominance of poorly characterized reads (82.79%). Moreover, the subsystem classification displayed 19% genes assigned to carbohydrates metabolism, 12% genes allocated to clustering-based subsystems, 10% genes belonged to amino acids and its derivatives. The result suggests the huge bacterial diversity which will be useful for further characterizing the economically important bacteria for biotechnological applications.

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Authors and Affiliations

  1. Department of Biochemistry, Shri Alpesh N. Patel P.G. Institute, Anand, Gujarat, India

    A. V. Mangrola

  2. Department of Biosciences, Veer Narmad South Gujarat University, Surat, Gujarat, India

    P. R. Dudhagara

  3. Department of Animal Biotechnology, College of Veterinary Science and Animal Husbandry, Anand Agricultural University (AAU), Anand, Gujarat, India

    P. G. Koringa & C. G. Joshi

  4. Department of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, India

    R. K. Patel

Authors
  1. A. V. Mangrola
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  2. P. R. Dudhagara
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  3. P. G. Koringa
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  4. C. G. Joshi
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  5. R. K. Patel
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Correspondence to A. V. Mangrola.

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Mangrola, A.V., Dudhagara, P.R., Koringa, P.G. et al. Metagenomic microbial community profiling of Unnai hot spring by Ion-Torrent based shotgun sequencing. Microbiology 87, 143–146 (2018). https://doi.org/10.1134/S0026261718010113

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