Evidence map›Paper›PMID 38156301›Full record

ArticleIranian journal of microbiology2023

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study.

Atif Khurshid Wani, Suhail Ahmad, Juliana Heloisa Pinê Américo-Pinheiro, Nazli Tizro, Reena Singh

Abstract read
In one paragraph

Article in Iranian journal of microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

2 citing papers in PubMed.

  1. Article
  2. Environmental resilience through artificial intelligence: innovations in monitoring and management.Environmental science and pollution research international · 2024
    Review
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.

Atif Khurshid WaniDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, India.
Suhail AhmadDepartment of Remote Sensing and GIS, University of Jammu, Jammu, India.
Juliana Heloisa Pinê Américo-PinheiroDepartment of Forest Science, Soils and Environment, School of Agronomic Sciences, São Paulo State University (UNESP), Botucatu, Brazil.
Nazli TizroDepartment of the Environment, College of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Reena SinghDepartment of Biotechnology, School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Rinaie Marwah hot spring Kishtwar (RMHSK) is one of the geothermal springs located at 33°51'51″N 75°32'07″E with an elevation of 2134 meters above sea level in Jammu and Kashmir, India. We aimed to study the microbial diversity of this geothermal spring using metagenomics. Materials and Methods: In the present study, physiochemical parameters including temperature (65-75°C), pH (6. 9-8. 8), hardness (250 ppm), and mineral content was measured along with the microbial diversity using Illumina MiSeq metagenome-based 16s amplicon sequencing (V3-V4). The sequence reads were classified taxonomically into 31 phyla, 71 classes, 152 orders, 256 families, 410 genus, and 665 species. QIIME 2 (Quantitative Insights into Microbial Ecology), an extensible, powerful, and decentralized analytical tool, was used for taxonomic analysis. Results: Conclusion: The microbial diversity of RMHSK is reported for the first time through a metagenomic study. Identification of microorganisms with characteristics that are relevant to industries.

Indexed as

High throughput DNA sequencingHot springIllumina sequencingMetagenomeTaxonomy

Identifiers

PMID38156301
PMCPMC10751607

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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.