Evidence map›Paper›PMID 38158480›Full record

ArticleMolecular biology reports2023

Microbiome pattern and diversity of an anadromous fish, hilsa shad (Tenualosa ilisha).

Sabuj Biswas, Md Javed Foysal, Adnan Mannan, S M Sharifuzzaman, Afsana Yeasmin Tanzina, Afroza Akter Tanni, Farjana Sharmen, Md Mobarok Hossain, M Shah Nawaz Chowdhury, Alfred Chin-Yen Tay and 1 more

Abstract read
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Article in Molecular biology reports, 2023. 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
0.5field-weighted citation impact, top 29% 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

11 authors at 3 institutions in 2 countries.

Sabuj BiswasDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Md Javed FoysalSchool of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Adnan MannanDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
S M SharifuzzamanInstitute of Marine Sciences, University of Chittagong, Chattogram, Bangladesh.
Afsana Yeasmin TanzinaDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Afroza Akter TanniDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Farjana SharmenDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Md Mobarok HossainDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
M Shah Nawaz ChowdhuryInstitute of Marine Sciences, University of Chittagong, Chattogram, Bangladesh.
Alfred Chin-Yen TayHelicobacter Research Laboratory, Marshall Centre for Infectious Disease Research and Training, School of Biomedical Sciences, University of Western Australia, Perth, WA, Australia.
S M Rafiqul IslamDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh. smrafiqulgeb@cu.ac.bd.
University of Chittagong · BDCurtin University · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe host-microbe interactions are complex, dynamic and context-dependent. In this regard, migratory fish species like hilsa shad (Tenualosa ilisha), which migrates from seawater to freshwater for spawning, provides a unique system for investigating the microbiome under an additional change in fish's habitat. This work was undertaken to detect taxonomic variation of microbiome and their function in the migration of hilsa. METHODS AND

resultsThe study employed 16S rRNA amplicon-based metagenomic analysis to scrutinize bacterial diversity in hilsa gut, skin mucus and water. Thus, a total of 284 operational taxonomic units (OTUs), 9 phyla, 35 orders and 121 genera were identified in all samples. More than 60% of the identified bacteria were Proteobacteria with modest abundance (> 5%) of Firmicutes, Bacteroidetes and Actinobacteria. Leucobacter in gut and Serratia in skin mucus were the core bacterial genera, while Acinetobacter, Pseudomonas and Psychrobacter exhibited differential compositions in gut, skin mucus and water.

conclusionsRepresentative fresh-, brackish- and seawater samples of hilsa habitats were primarily composed of Vibrio, Serratia and Psychrobacter, and their diversity in seawater was significantly higher (P < 0.05) than freshwater. Overall, salinity and water microbiota had an influence on the microbial composition of hilsa shad, contributing to host metabolism and adaptation processes. This pioneer exploration of hilsa gut and skin mucus bacteria across habitats will advance our insights into microbiome assembly in migratory fish populations.

Indexed as

FishesMicrobiotaAnimalsBacteriaFresh WaterRNA, Ribosomal, 16SWaterRNA, Ribosomal, 16SWaterBacteriaFreshwaterHilsaMicrobiomeMigratory fish

Identifiers

PMID38158480
OpenAlexW4390402721

What OpenQuestion holds

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Registered trials

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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.