Evidence map›Paper›PMID 33859871›Full record

ArticlePeerJ2021

16S amplicon sequencing of microbial communities in enriched and non-enriched sediments of non-volcanic hot spring with temperature gradients.

Muhammad Yasir, Arooj K Qureshi, Esam I Azhar

Abstract read
In one paragraph

Article in PeerJ, 2021. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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. 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

3 authors.

Muhammad YasirSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Arooj K QureshiSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Esam I AzharSpecial Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-1736-181X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms in geothermal springs can offer insights into the fundamental and applied study of extremophiles. However, low microbial abundance and culturing requirements limit the ability to analyze microbial diversity in these ecosystems. In this study, culture-dependent and culture-independent techniques were used to analyze sediment samples from the non-volcanic Tatta Pani hot springs in district Poonch of Azad Kashmir. Microbial composition, temperature gradient, and enrichment effects on rare taxa were evaluated. In total, 31 distinct bacterial phyla and 725 genera were identified from the non-enriched Tatta Pani hot spring sediment samples, and 33 distinct bacterial phyla and 890 genera from the enriched sediment samples. Unique phyla specimens from the enriched samples included Candidatus Cloacimonetes, Caldiserica, and Korarchaeota archaea. The enriched samples yielded specific microbiota including 805 bacteria and 42 archaea operational taxonomic units with 97% similarity, though decreased thermophilic microbiota were observed in the enriched samples. Microbial diversity increased as temperature decreased. Candidate novel species were isolated from the culture-dependent screening, along with several genera that were not found in the 16S amplicon sequencing data. Overall, the enriched sediments showed high microbial diversity but with adverse changes in the composition of relatively dominant bacteria. Metagenomic analyses are needed to study the diversity, phylogeny, and functional investigation of hot spring microbiota.

Indexed as

16S amplicon sequencingCulture-dependentEnrichmentHot springTatta PaniThermophile

Identifiers

PMID33859871
PMCPMC8020870

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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.