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Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study

dc.contributor.authorWani, Atif Khurshid
dc.contributor.authorAhmad, Suhail
dc.contributor.authorAmerico-Pinheiro, Juliana Heloisa Pine [UNESP]
dc.contributor.authorTizro, Nazli
dc.contributor.authorSingh, Reena
dc.contributor.institutionLovely Profess Univ
dc.contributor.institutionUniv Jammu
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionBrazil Univ
dc.contributor.institutionIslamic Azad Univ
dc.date.accessioned2025-04-29T18:41:36Z
dc.date.issued2023-12-01
dc.description.abstractBackground and Objectives: Rinaie Marwah hot spring Kishtwar (RMHSK) is one of the geothermal springs located at 33 degrees 51 ' 51 '' N 75 degrees 32 ' 07 '' E with an elevation of 2134 meters above sea level in Jammu and Kashmir, India. We aimed to study the microbial diversity of this geothermal spring using metagenomics.Materials and Methods: In the present study, physiochemical parameters including temperature (65-75oC), pH (6. 9-8. 8), hardness (250 ppm), and mineral content was measured along with the microbial diversity using Illumina MiSeq metage-nome-based 16s amplicon sequencing (V3-V4). The sequence reads were classified taxonomically into 31 phyla, 71 classes, 152 orders, 256 families, 410 genus, and 665 species. QIIME 2 (Quantitative Insights into Microbial Ecology), an extensible, powerful, and decentralized analytical tool, was used for taxonomic analysis.Results: Bacteroidota (32. 57%) was the dominant phylum, Bacteroidia (32. 51%) the dominant class, Bacteroidales (16. 6%) the dominant order, and Lentimicrobiaceae (14. 23%) was the dominant family per the abundance analysis. Shannon (2. 28) and Chao 1 (87. 0) diversity indices support the existence of higher microbial diversity in RMHSK (50717 OTUs).Conclusion: The microbial diversity of RMHSK is reported for the first time through a metagenomic study. Identification of microorganisms with characteristics that are relevant to industries.en
dc.description.affiliationLovely Profess Univ, Sch Bioengn & Biosci, Dept Biotechnol, Jalandhar, Punjab, India
dc.description.affiliationUniv Jammu, Dept Remote Sensing & GIS, Jammu, India
dc.description.affiliationSao Paulo State Univ UNESP, Sch Agron Sci, Dept Forest Sci Soils & Environm, Botucatu, Brazil
dc.description.affiliationBrazil Univ, Dept Environm Sci, Grad Program Environm Sci, Sao Paulo, Brazil
dc.description.affiliationIslamic Azad Univ, Coll Nat Resources & Environm, Dept Environm, Sci & Res Branch, Tehran, Iran
dc.description.affiliationUnespSao Paulo State Univ UNESP, Sch Agron Sci, Dept Forest Sci Soils & Environm, Botucatu, Brazil
dc.format.extent723-733
dc.identifier.citationIranian Journal Of Microbiology. Tehran: Univ Medical Sciences-danishgah-i Ulum-i Pizishki-i Tihran, v. 15, n. 6, p. 723-733, 2023.
dc.identifier.issn2008-3289
dc.identifier.urihttps://hdl.handle.net/11449/299168
dc.identifier.wosWOS:001110546100011
dc.language.isoeng
dc.publisherUniv Medical Sciences-danishgah-i Ulum-i Pizishki-i Tihran
dc.relation.ispartofIranian Journal Of Microbiology
dc.sourceWeb of Science
dc.subjectHot spring
dc.subjectMetagenome
dc.subjectTaxonomy
dc.subjectHigh throughput DNA sequencing
dc.subjectIllumina sequencing
dc.titleBuilding the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome studyen
dc.typeArtigopt
dcterms.rightsHolderUniv Medical Sciences-danishgah-i Ulum-i Pizishki-i Tihran
dspace.entity.typePublication
relation.isOrgUnitOfPublicationef1a6328-7152-4981-9835-5e79155d5511
relation.isOrgUnitOfPublication.latestForDiscoveryef1a6328-7152-4981-9835-5e79155d5511
unesp.author.orcid0000-0002-8820-1231[1]
unesp.author.orcid0000-0003-1776-4210[2]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agronômicas, Botucatupt

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