Sayak Ganguli , Sabdar Rahaman , Abhishek R. Bera , Vineet Vishal , Shelvia Malik , Roopalakshmi K. , Pankaj K. Singh
{"title":"Rhizospheric metagenome of the terrestrial mangrove fern Acrostichum from Indian Sunderbans","authors":"Sayak Ganguli , Sabdar Rahaman , Abhishek R. Bera , Vineet Vishal , Shelvia Malik , Roopalakshmi K. , Pankaj K. Singh","doi":"10.1016/j.gdata.2017.09.001","DOIUrl":null,"url":null,"abstract":"<div><p>This study reports the analyses of the rhizospheric microbiome of the terrestrial mangrove fern <em>Acrostichum aureum</em> Linn. from the Indian Sunderbans. Samples were collected using standard protocols and 16S rRNA gene V3–V4 region amplicon sequencing was performed to identify the microbial communities prevalent in the rhizosphere. A total of 1,931,252 quality checked <strong>reads</strong> were assembled into 204,818 contigs and were analysed using QIIME to reveal the abundance of Proteobacteria, Acidobacteria and Planctomycetes. The data is available at the NCBI - Sequence Read Archive with accession number: SRX2660456. This is the first report of the rhizospheric microbiome belonging to a fern species.</p></div>","PeriodicalId":56340,"journal":{"name":"Genomics Data","volume":"14 ","pages":"Pages 53-55"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gdata.2017.09.001","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics Data","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213596017301319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This study reports the analyses of the rhizospheric microbiome of the terrestrial mangrove fern Acrostichum aureum Linn. from the Indian Sunderbans. Samples were collected using standard protocols and 16S rRNA gene V3–V4 region amplicon sequencing was performed to identify the microbial communities prevalent in the rhizosphere. A total of 1,931,252 quality checked reads were assembled into 204,818 contigs and were analysed using QIIME to reveal the abundance of Proteobacteria, Acidobacteria and Planctomycetes. The data is available at the NCBI - Sequence Read Archive with accession number: SRX2660456. This is the first report of the rhizospheric microbiome belonging to a fern species.