Metagenomic insights into the antibiotic resistome of mangrove sediments and their association to socioeconomic status

Imchen M 1 , Kumavath R 2

Affiliations 

  • 1 Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Tejaswini Hills, Periya (P.O) Kasaragod, Kerala, 671320, India
  • 2 Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Tejaswini Hills, Periya (P.O) Kasaragod, Kerala, 671320, India. Electronic address: rnkumavath@gmail.com
Environ Pollut, 2021 Jan 01;268(Pt A):115795.
PMID: 33068846 DOI: 10.1016/j.envpol.2020.115795

Abstract

Mangrove sediments are prone to anthropogenic activities that could enrich antibiotics resistance genes (ARGs). The emergence and dissemination of ARGs are of serious concern to public health worldwide. Therefore, a comprehensive resistome analysis of global mangrove sediment is of paramount importance. In this study, we have implemented a deep machine learning approach to analyze the resistome of mangrove sediments from Brazil, China, Saudi Arabia, India, and Malaysia. Geography (RANOSIM = 39.26%; p  0.05). Several genes including multidrug efflux pumps were significantly (p 

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