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Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India

The data in this article contains the sequences of fungal Internal Transcribed Spacer (ITS) and 18S rRNA gene from a metagenome of Lonar soda lake, India. Sequences were amplified using fungal specific primers, which amplified the amplicon lined between the 18S and 28S rRNA genes. Data were obtained...

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Autores principales: Dudhagara, Pravin, Ghelani, Anjana, Bhavsar, Sunil, Bhatt, Shreyas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510552/
https://www.ncbi.nlm.nih.gov/pubmed/26217800
http://dx.doi.org/10.1016/j.dib.2015.06.001
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author Dudhagara, Pravin
Ghelani, Anjana
Bhavsar, Sunil
Bhatt, Shreyas
author_facet Dudhagara, Pravin
Ghelani, Anjana
Bhavsar, Sunil
Bhatt, Shreyas
author_sort Dudhagara, Pravin
collection PubMed
description The data in this article contains the sequences of fungal Internal Transcribed Spacer (ITS) and 18S rRNA gene from a metagenome of Lonar soda lake, India. Sequences were amplified using fungal specific primers, which amplified the amplicon lined between the 18S and 28S rRNA genes. Data were obtained using Fungal tag-encoded FLX amplicon pyrosequencing (fTEFAP) technique and used to analyze fungal profile by the culture-independent method. Primary analysis using PlutoF 454 pipeline suggests the Lonar lake mycobiome contained the 29 different fungal species. The raw sequencing data used to perform this analysis along with FASTQ file are located in the NCBI Sequence Read Archive (SRA) under accession No. SRX889598 (http://www.ncbi.nlm.nih.gov/sra/SRX889598).
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spelling pubmed-45105522015-07-27 Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India Dudhagara, Pravin Ghelani, Anjana Bhavsar, Sunil Bhatt, Shreyas Data Brief Data Article The data in this article contains the sequences of fungal Internal Transcribed Spacer (ITS) and 18S rRNA gene from a metagenome of Lonar soda lake, India. Sequences were amplified using fungal specific primers, which amplified the amplicon lined between the 18S and 28S rRNA genes. Data were obtained using Fungal tag-encoded FLX amplicon pyrosequencing (fTEFAP) technique and used to analyze fungal profile by the culture-independent method. Primary analysis using PlutoF 454 pipeline suggests the Lonar lake mycobiome contained the 29 different fungal species. The raw sequencing data used to perform this analysis along with FASTQ file are located in the NCBI Sequence Read Archive (SRA) under accession No. SRX889598 (http://www.ncbi.nlm.nih.gov/sra/SRX889598). Elsevier 2015-06-18 /pmc/articles/PMC4510552/ /pubmed/26217800 http://dx.doi.org/10.1016/j.dib.2015.06.001 Text en © 2015 Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Dudhagara, Pravin
Ghelani, Anjana
Bhavsar, Sunil
Bhatt, Shreyas
Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title_full Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title_fullStr Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title_full_unstemmed Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title_short Metagenomic data of fungal internal transcribed Spacer and 18S rRNA gene sequences from Lonar lake sediment, India
title_sort metagenomic data of fungal internal transcribed spacer and 18s rrna gene sequences from lonar lake sediment, india
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510552/
https://www.ncbi.nlm.nih.gov/pubmed/26217800
http://dx.doi.org/10.1016/j.dib.2015.06.001
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