| Literature DB >> 26217800 |
Pravin Dudhagara1, Anjana Ghelani2, Sunil Bhavsar3, Shreyas Bhatt4.
Abstract
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).Entities:
Keywords: 18S rRNA; Fungal ITS; Lonar Lake; Metagenome; fTEFAP
Year: 2015 PMID: 26217800 PMCID: PMC4510552 DOI: 10.1016/j.dib.2015.06.001
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Statistics of metagenomic data.
| No. | Data description | Result |
|---|---|---|
| 1 | Total amplified sequences | 8092 |
| 2 | Base pairs count | 2,947,772 bp |
| 3 | Sequence length | 150–507 bp |
| 4 | Average sequence length | 364.28 bp |
| 5 | GC content | 45.6% |
| 6 | Average GC percent | 45.9 |
| 7 | Phred Quality Score | 8–40 |
| Subject area | Microbiology, mycology, biodiversity |
|---|---|
| More specific subject area | Metagenomics |
| Type of data | Table |
| How data was acquired | Fungal tag-encoded FLX massively parallel pyrosequencing using Roche GS 454 FLX Titanium sequence followed by analysis using PlutoF 454 pipeline. |
| Data format | Raw data FASTQ file |
| Experimental factors | ITS region along with partial gene sequence of 18S rRNA were amplified using fungal specific primers (ITS1-F and ITS4-F) from isolated metagenome followed by pyrosequencing using GS 454 FLX Titanium chemistry. |
| Experimental features | The sediment sample was collected from 3 m deep from Lonar soda lake, India. |
| Data source location | Lonar Lake, Lonar city, India. |
| Data accessibility | Data are available at NCBI Biosample under accession No. SAMN02486448 and SRA accession No. SRX889598 |