Evidence map›Paper›PMID 40230948›Full record

ArticleBioinformation2024

Insights from Shigella bacteriophage genomes analysis.

Pratanu Kayet, Surajit Bhattacharjee, Shanta Dutta, Surajit Basak

Abstract read
In one paragraph

Article in Bioinformation, 2024. 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
–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

1 citing paper in PubMed.

  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.

Pratanu KayetDivision of Bioinformatics, ICMR-National Institute for Research in Bacterial Infections, Kolkata, India.
Surajit BhattacharjeeDepartment of Molecular Biology and Bioinformatics, Tripura University, Suryamani nagar-799022, Tripura, India.
Shanta DuttaDivision of Bacteriology, ICMR-National Institute for Research in Bacterial Infections, Kolkata, India.
Surajit BasakDivision of Bioinformatics, ICMR-National Institute for Research in Bacterial Infections, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shigella species, a major cause of shigellosis, remain a substantial global health issue and the emergence of antibiotic-resistant Shigella strains has aggravated the situation. Hence, four Shigella phages were investigated to provide insights into the evolutionary trajectories and genomic properties of Shigella-infecting bacteriophages using comparative genome analysis. Analysis shows that these four phages belong to the Tequatrovirus genus and include a considerable number of proteins for 'Tail' and "DNA, RNA and Nucleotide Metabolism," indicating their aptitude for specialized host interaction and replication efficiency. The identification of 10 tRNAs further support that, these phages have high replication efficiency. Thus, this study improves our understanding of phage evolution by exposing the genetic mechanisms that drive phage adaptability and host specificity. This also highlights the significance of phage genomic research in developing viable therapies for antibiotic-resistant Shigella infections.

Indexed as

Anti-CRISPRantimicrobial resistance (AMR)functional categoryshigella phagetRNA

Identifiers

PMID40230948
PMCPMC11993411

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.