Evidence map›Paper›PMID 26484204›Full record

ArticleGenomics data2015

Deciphering the microbiota of Tuwa hot spring, India using shotgun metagenomic sequencing approach.

Amitsinh Mangrola, Pravin Dudhagara, Prakash Koringa, C G Joshi, Mansi Parmar, Rajesh 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Deciphering the microbial communities of alkaline hot spring in Panamik, Ladakh, India using a high-throughput sequencing approach.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  2. Article
  3. 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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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Amitsinh MangrolaDepartment of Biochemistry, Shri Alpesh N. Patel Post Graduate Institute, Anand, India.
Pravin DudhagaraDepartment of Biotechnology, Veer Narmad South Gujarat University, Surat, India.
Prakash KoringaDepartment of Animal Biotechnology, Anand Agricultural University, Anand, Gujarat, India.
C G JoshiDepartment of Animal Biotechnology, Anand Agricultural University, Anand, Gujarat, India.
Mansi ParmarDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, India.
Rajesh PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report metagenome from the Tuwa hot spring, India using shotgun sequencing approach. Metagenome consisted of 541,379 sequences with 98.7 Mbps size with 46% G + C content. Metagenomic sequence reads were deposited into the EMBL database under accession number ERP009321. Community analysis presented 99.1% sequences belong to bacteria, 0.3% of eukaryotic origin, 0.2% virus derived and 0.05% from archea. Unclassified and unidentified sequences were 0.4% and 0.07% respectively. A total of 22 bacterial phyla include 90 families and 201 species were observed in the hot spring metagenome. Firmicutes (97.0%), Proteobacteria (1.3%) and Actinobacteria (0.4%) were reported as dominant bacterial phyla. In functional analysis using Cluster of Orthologous Group (COG), 21.5% drops in the poorly characterized group. Using subsystem based annotation, 4.0% genes were assigned for stress responses and 3% genes were fit into the metabolism of aromatic compounds. The hot spring metagenome is very rich with novel sequences affiliated to unclassified and unidentified lineages, suggesting the potential source for novel microbial species and their products.

Indexed as

Community analysisFunctional analysisHot springMetagenomeShotgun sequencing

Identifiers

PMID26484204
PMCPMC4535658

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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.