Evidence map›Paper›PMID 26484181›Full record

ArticleGenomics data2015

Shotgun metagenomic sequencing based microbial diversity assessment of Lasundra hot spring, India.

Amit V Mangrola, Pravin Dudhagara, Prakash Koringa, C G Joshi, Rajesh K Patel

Abstract read
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Microbial diversity analysis of Chumathang geothermal spring, Ladakh, India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  2. Article
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  5. Bacterial diversity in the aquatic system in India based on metagenome analysis-a critical review.Environmental science and pollution research international · 2023
    Review
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  18. Web Resources for Metagenomics Studies.Genomics, proteomics & bioinformatics · 2015
    Review
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amit V MangrolaDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, India.
Pravin DudhagaraDepartment of Biotechnology, Veer Narmad South Gujarat University, Surat, Gujarat, India.
Prakash KoringaDepartment of Animal Biotechnology, Anand Agricultural University, Anand, Gujarat, India.
C G JoshiDepartment of Animal Biotechnology, Anand Agricultural University, Anand, Gujarat, India.
Rajesh K PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is the first report on the metagenomic approach for unveiling the microbial diversity of Lasundra hot spring, Gujarat State, India. High-throughput sequencing of community DNA was performed on an Ion Torrent PGM platform. Metagenome consisted of 606,867 sequences represent 98,567,305 bps size with an average length of 162 bps and 46% G + C content. Metagenome sequence information is available at EBI under EBI Metagenomic database with accession no. ERP009313. MG-RAST assisted community analysis revealed that 99.21% sequences were bacterial origin, 0.43% was fit to eukaryotes and 0.11% belongs to archaea. A total of 29 bacterial, 20 eukaryotic and 4 archaeal phyla were detected. Abundant genera were Bacillus (86.7%), Geobacillus (2.4%), Paenibacillus (1.0%), Clostridium (0.7%) and Listeria (0.5%), that represent 91.52% in metagenome. In functional analysis, Cluster of Orthologous Group (COG) based annotation revealed that 45.4% was metabolism connected and 19.6% falls in poorly characterized group. Subsystem based annotation approach suggests that the 14.0% was carbohydrates, 7.0% was protein metabolism and 3.0% genes for various stress responses together with the versatile presence of commercially useful traits.

Indexed as

Hot springLasundraMetagenomeMG-RASTMicrobial diversityShotgun sequencing

Identifiers

PMID26484181
PMCPMC4536006

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.