Indian sewage microbiome has unique community characteristics and potential for population-level disease predictions

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Kumar Siddharth Singh
  • Dhiraj Paul
  • Abhishek Gupta
  • Dhiraj Dhotre
  • Frank Klawonn
  • Yogesh Shouche

Organisationseinheiten

Externe Organisationen

  • National Centre for Cell Science
  • Helmholtz-Zentrum für Infektionsforschung GmbH (HZI)
  • Azim Premji University
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Details

OriginalspracheEnglisch
Aufsatznummer160178
FachzeitschriftScience of the Total Environment
Jahrgang858
Frühes Online-Datum13 Nov. 2022
PublikationsstatusVeröffentlicht - 1 Feb. 2023

Abstract

Sewage wastewater pollutes water and poses a public health issue but it could also prove useful in certain research domains. Sewage is a complex niche relevant for research concerning ‘one-health’, human health, pollution and antibiotic resistance. Indian gut microbiome is also understudied due to sampling constraints and sewage could be used to explore it. Ostensibly, Indian sewage needs to be studied and here, we performed a cross-sectional pan-India sewage sampling to generate the first comprehensive Indian sewage microbiome. Indian sewage showed predominance of Burkholderiaceae, Rhodocyclaceae, Veillonellaceae, Prevotellaceae, etc. and has high representation of gut microbes. The identified gut microbes have overrepresentation of Veillonellaceae, Rikenellaceae, Streptococcaceae, and Bacillaceae. Imputed metagenomics of sewage microbiome indicated dominance of transport, motility, peptidases, amino acid metabolism, and antibiotic resistance genes. Microbiome-disease associations drawn using simple decision tree and random forest analysis identified specific microbes as potential predictors of diabetes and obesity in a city. Altogether, we generated the first Indian sewage microbiome and our non-invasive, high-throughput workflow could be emulated for future research, wastewater-based epidemiology and designing policies concerning public health.

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Indian sewage microbiome has unique community characteristics and potential for population-level disease predictions. / Singh, Kumar Siddharth; Paul, Dhiraj; Gupta, Abhishek et al.
in: Science of the Total Environment, Jahrgang 858, 160178, 01.02.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Singh KS, Paul D, Gupta A, Dhotre D, Klawonn F, Shouche Y. Indian sewage microbiome has unique community characteristics and potential for population-level disease predictions. Science of the Total Environment. 2023 Feb 1;858:160178. Epub 2022 Nov 13. doi: 10.1016/j.scitotenv.2022.160178
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AU - Singh, Kumar Siddharth

AU - Paul, Dhiraj

AU - Gupta, Abhishek

AU - Dhotre, Dhiraj

AU - Klawonn, Frank

AU - Shouche, Yogesh

N1 - Funding Information: KSS received National Postdoctoral Fellowship (Grant ID: PDF/2016/003317 ) from Science and Engineering Research Board , Department of Science & Technology, India .

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N2 - Sewage wastewater pollutes water and poses a public health issue but it could also prove useful in certain research domains. Sewage is a complex niche relevant for research concerning ‘one-health’, human health, pollution and antibiotic resistance. Indian gut microbiome is also understudied due to sampling constraints and sewage could be used to explore it. Ostensibly, Indian sewage needs to be studied and here, we performed a cross-sectional pan-India sewage sampling to generate the first comprehensive Indian sewage microbiome. Indian sewage showed predominance of Burkholderiaceae, Rhodocyclaceae, Veillonellaceae, Prevotellaceae, etc. and has high representation of gut microbes. The identified gut microbes have overrepresentation of Veillonellaceae, Rikenellaceae, Streptococcaceae, and Bacillaceae. Imputed metagenomics of sewage microbiome indicated dominance of transport, motility, peptidases, amino acid metabolism, and antibiotic resistance genes. Microbiome-disease associations drawn using simple decision tree and random forest analysis identified specific microbes as potential predictors of diabetes and obesity in a city. Altogether, we generated the first Indian sewage microbiome and our non-invasive, high-throughput workflow could be emulated for future research, wastewater-based epidemiology and designing policies concerning public health.

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