Evidence map›Paper›PMID 41386833›Full record

ArticleJournal, genetic engineering & biotechnology2025

A metagenomic exploration of microbial distribution among the pond sediment, shrimp (Penaeus monodon) tissue and pond water: A special focus on nutrient cycling and shrimp viral pathogens.

Avik Sarkar, Rakesh Kr Patra, Mathavan Muthaiyan, Ajoy Mallik

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Avik SarkarShrimp Genomics and Disease Biotechnology Laboratory, Department of Zoology, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 West Bengal, India.
Rakesh Kr PatraShrimp Genomics and Disease Biotechnology Laboratory, Department of Zoology, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 West Bengal, India.
Mathavan MuthaiyanBioinformatics Division, AuroSeqTech, Pondicherry 607402, India.
Ajoy MallikShrimp Genomics and Disease Biotechnology Laboratory, Department of Zoology, Ramakrishna Mission Vivekananda Centenary College, Rahara, Kolkata 700118 West Bengal, India. Electronic address: ajoy.mallick@rkmvccrahara.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Penaeus monodon, a major shrimp species cultivated in Eastern Asia, has faced setbacks in aquaculture due to disease outbreaks. Metagenomic studies offer insights into the pond microbiome, revealing its critical roles in nutrient cycling, water quality, and disease control. This study investigated microbial communities in sediment, water, and shrimp samples from an aquaculture pond in Chaital, West Bengal, India. Shotgun metagenomic sequencing and bioinformatics analyses were used to assess taxonomic and functional profiles, focusing on nutrient cycling genes and viral populations. Sediments showed the highest microbial diversity, contributing to organic matter decomposition and ecological stability. Water microbes played roles in oxygenation and pathogen suppression, while shrimp tissues hosted microbes aiding digestion and immunity. Pathogenic viruses, especially Whispovirus (White Spot Syndrome Virus), dominated shrimp tissues. Functional gene analysis identified key pathways in carbon, nitrogen, and sulfur cycling. Integrating water quality data with microbiome profiles could help identify bioindicators and predict pathogen risks.

Indexed as

MetagenomicsMicrobial interactionPenaeus monodonShrimp pathogens

Identifiers

PMID41386833
PMCPMC12455100

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.