Evidence map›Paper›PMID 33432373›Full record

ArticleEnvironmental monitoring and assessment2021

Fish gill microbiome from India's largest Brahmaputra River-a trans-border biodiversity hotspot region.

Dipika Malakar, Subbarayan Sarathbabu, Probodh Borah, Nachimuthu Senthil Kumar

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 56% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 1 country.

Dipika Malakar *Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796 004, India.
Subbarayan Sarathbabu *Department of Biotechnology, Mizoram University, Aizawl, Mizoram, 796 004, India.
Probodh BorahAdvanced State Biotech Hub, College of Veterinary Science, Assam Agricultural University, Khanapara, Guwahati, Assam, India.
Nachimuthu Senthil KumarDepartment of Biotechnology, Mizoram University, Aizawl, Mizoram, 796 004, India. nskmzu@gmail.com.ORCID http://orcid.org/0000-0002-0192-2133
Mizoram University · INAssam Agricultural University · IN

Funding

Department of Biotechnology, Government of India No. BT/BI/12/060/2012
6 · The paper itself

Abstract

In this study, we sequenced the V3-V4 region of 16S rRNA gene amplicon using paired-end Illumina HiSeq to study the bacterial community in the gills of fish from the bank of the trans-border river of Brahmaputra, Northeast India. Metagenome data consisted of 278,784 reads, 248-bp length, and 56.48% GC content with 85% sequence having a Phred score Q = 30. Community metagenomics revealed a total of 631 genera belonging to 22 different phyla, dominated by Proteobacteria (118,222 features), Firmicutes (101,043 features), Actinobacteria (34,189 features), Bacteroidetes (17,977 features), and Cyanobacteria (2730 features). The bacterial community identified was composed of both pathogenic zoonotic and non-harmful groups. The pathway or functional analysis of the fish gill microbiome exhibited 21 different pathways which also included the pathogenic-related functions. Our data detected a wide group of bacterial communities that will be useful in further isolating and characterizing the pathogenic bacteria from the fish and also to understand the bacterial association in highly consumed fish.

Indexed as

MicrobiotaRiversAnimalsBiodiversityEnvironmental MonitoringGillsIndiaRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAFish gillMetagenomicsPathogenPICRUStQIIME2

Identifiers

PMID33432373
OpenAlexW3119102482

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.