Evidence map›Paper›PMID 26981376›Full record

ArticleGenomics data2016

Structural insights of microbial community of Deulajhari (India) hot spring using 16s-rRNA based metagenomic sequencing.

Archana Singh, Enketeswara Subudhi

Abstract read
In one paragraph

Article in Genomics data, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

2 authors.

Archana SinghCentre of biotechnology, Siksha 'O' Anushandhan University, Bhubaneswar, Odisha, India.
Enketeswara SubudhiCentre of biotechnology, Siksha 'O' Anushandhan University, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insights about the distribution of the microbial community prove to be the major goal of understanding microbial ecology which remains to be fully deciphered. Hot springs being hub for the thermophilic microbiota attract the attention of the microbiologists. Deulajhari hot spring cluster is located in the Angul district of Odisha. Covered within a wooded area, Deulajhari hot spring is also fed by the plant litter resulting in a relatively high amount of total organic content (TOC). For the first time, Illumina sequencing based biodiversity analysis of microbial composition is studied through amplicon metagenome sequencing of 16s rRNA targeting V3-V4 region using metagenomic DNA from the hot spring sediment. Over 28 phyla were detected through the amplicon metagenome sequencing of which the most dominating phyla at the existing physiochemical parameters like; temperature 69 °C, pH 8.09, electroconductivity 0.025 dSm(- 1) and total organic carbon 0.356%, were Proteobacteria (88.12%), Bacteriodetes (10.76%), Firmicutes (0.35%), Spirochetes (0.18%) and chloroflexi (0.11%). Approximately 713 species were observed at the above physiochemical parameters. The analysis of the metagenome provides the quantitative insights into microbial populations based on the sequence data in Deulajhari hot spring. Metagenome sequence is deposited to SRA database which is available at NCBI with accession no. SRX1459736.

Indexed as

16s rRNADeulajhari hot springIllumina sequencingTOC

Identifiers

PMID26981376
PMCPMC4778618

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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.