Comparative mangrove metagenome reveals global prevalence of heavy metals and antibiotic resistome across different ecosystems

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dc.contributor.authorImchen, Madangchanoken
dc.contributor.authorKumavath, Ranjithen
dc.contributor.authorBarh, Debmalyaen
dc.contributor.authorVaz, Alineen
dc.contributor.authorGoes-Neto, Aristotelesen
dc.contributor.authorTiwari, Sandeepen
dc.contributor.authorGhosh, Preetamen
dc.contributor.authorWattam, Alice R.en
dc.contributor.authorAzevedo, Vascoen
dc.date.accessioned2018-12-11T17:55:44Zen
dc.date.available2018-12-11T17:55:44Zen
dc.date.issued2018-07-25en
dc.description.abstractThe mangrove ecosystem harbors a complex microbial community that plays crucial role in biogeochemical cycles. In this study, we analyzed mangrove sediments from India using de novo whole metagenome next generation sequencing (NGS) and compared their taxonomic and functional community structures to mangrove metagenomics samples from Brazil and Saudi Arabia. The most abundant phyla in the mangroves of all three countries was Proteobacteria, followed by Firmicutes and Bacteroidetes. A total of 1,942 genes were found to be common across all the mangrove sediments from each of the three countries. The mangrove resistome consistently showed high resistance to fluoroquinolone and acriflavine. A comparative study of the mangrove resistome with other ecosystems shows a higher frequency of heavy metal resistance in mangrove and terrestrial samples. Ocean samples had a higher abundance of drug resistance genes with fluoroquinolone and methicillin resistance genes being as high as 28.178% +/- 3.619 and 10.776% +/- 1.823. Genes involved in cobalt-zinc-cadmium resistance were higher in the mangrove (23.495% +/- 4.701) and terrestrial (27.479% +/- 4.605) ecosystems. Our comparative analysis of samples collected from a variety of habitats shows that genes involved in resistance to both heavy metals and antibiotics are ubiquitous, irrespective of the ecosystem examined.en
dc.description.notesThe authors would like to acknowledge the gracious access to research datasets made publicly available by Andreote et al. 2012, Alzubaidy et al. 2016, Global Ocean Sampling Expedition, Rusch et al. 2007, Williamson et al. 2008, DeAngelis et al. 2010, Fierer et al. 2012, Manoharan et al. 2015 and to the MG-RAST team for the free availability of the pipeline and server resources. Authors thanks to DST-SERB-EMEQ for partial financial assistance, IM thanks to UGC-NFST fellowship Govt. of India and the research facilities supported by Central University of Kerala. DB thanks TWAS-CNPq for granting postdoctoral fellowship at UFMG.en
dc.description.sponsorshipDST-SERB-EMEQ; TWAS-CNPq; UGC-NFST fellowship Govt. of Indiaen
dc.format.extent15 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1038/s41598-018-29521-4en
dc.identifier.issn2045-2322en
dc.identifier.other11187en
dc.identifier.pmid30046123en
dc.identifier.urihttp://hdl.handle.net/10919/86346en
dc.identifier.volume8en
dc.language.isoen_USen
dc.publisherSpringer Natureen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectsulfate-reducing bacteriaen
dc.subjectresistance genesen
dc.subjectstaphylococcus-aureusen
dc.subjectpseudomonas-aeruginosaen
dc.subjectmicrobial communitiesen
dc.subjectdiversityen
dc.subjectsedimentsen
dc.subjectsoilen
dc.subjectmicroorganismsen
dc.subjectseaen
dc.titleComparative mangrove metagenome reveals global prevalence of heavy metals and antibiotic resistome across different ecosystemsen
dc.title.serialScientific Reportsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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Destination Area: Global Systems Science (GSS)