Evidence map›Paper›PMID 28507897›Full record

ArticleGenomics data2017

Comparative analysis of microbial diversity in two hot springs of Bakreshwar, West Bengal, India.

Biswadeep Chaudhuri, Trinath Chowdhury, Brajadulal Chattopadhyay

Abstract read
In one paragraph

Article in Genomics data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Post-monsoon seasonal variation of prokaryotic diversity in solfataric soil from the North Sikkim hot spring.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    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
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Biswadeep ChaudhuriDepartment of Physics, Jadavpur University, Raja Subodh Chandra Mallick Road, Kolkata 700 032, West Bengal, India.
Trinath ChowdhuryDepartment of Physics, Jadavpur University, Raja Subodh Chandra Mallick Road, Kolkata 700 032, West Bengal, India.
Brajadulal ChattopadhyayDepartment of Physics, Jadavpur University, Raja Subodh Chandra Mallick Road, Kolkata 700 032, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various aspects of hot springs at Bakreshwar (Lat. 23°52'48″N; Long. 87°22'40″E) in West Bengal, India have been investigated since the middle of 20th century, but comprehending the complete diversity and the complexity of the microbial population therein has been in the continuing process. Some of these microorganisms are found to have immense industrial importance. Microbes generally exist in milieus of varying complexities and diversities. Attempting the usually employed cultivation-based techniques in experimentation with those microbes had confronted various limitations. To overcome these limitations a strategy based on high-throughput sequencing of 16S rRNA gene amplicon analysis was employed for studying the differential diversity and the detailed nature of microbial population of the two hot springs of Bakreshwar (54 °C & 65 °C). Paired-end libraries of amplified V-3 hyper-variable 16S rDNA fragments from sets of samples that varied in their contents, ranging from a single bacterium to highly complex communities were sequenced. The comparison revealed the differential aspects in the two hot spring waters; the samples at 54 °C showed the bacterial phylum

Indexed as

16S rRNAHot springsV-3

Identifiers

PMID28507897
PMCPMC5423328

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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.