Evidence map›Paper›PMID 39066828›Full record

ArticleArchives of microbiology2024

Decoding the TAome and computational insights into parDE toxin-antitoxin systems in Pseudomonas aeruginosa.

Nomita Gupta, Mohit Yadav, Garima Singh, Shobhi Chaudhary, Chaitali Ghosh, Jitendra Singh Rathore

Abstract read
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In one paragraph

Article in Archives of microbiology, 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

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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. Evolution of Resistant Mutants inMicroorganisms · 2025
    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

6 authors.

Nomita Gupta *School of Biotechnology, Gautam Buddha University, Greater Noida, Yamuna Expressway, Greater Noida, 201312, Uttar Pradesh, India.
Mohit Yadav *School of Biotechnology, Gautam Buddha University, Greater Noida, Yamuna Expressway, Greater Noida, 201312, Uttar Pradesh, India.
Garima SinghSchool of Biotechnology, Gautam Buddha University, Greater Noida, Yamuna Expressway, Greater Noida, 201312, Uttar Pradesh, India.
Shobhi ChaudharySchool of Biotechnology, Gautam Buddha University, Greater Noida, Yamuna Expressway, Greater Noida, 201312, Uttar Pradesh, India.
Chaitali GhoshDepartment of Zoology, Gargi College, University of Delhi, Siri Fort Road, New Delhi, 110049, India.
Jitendra Singh RathoreSchool of Biotechnology, Gautam Buddha University, Greater Noida, Yamuna Expressway, Greater Noida, 201312, Uttar Pradesh, India. jitendra@gbu.ac.in.

Funding

Indian Council of Medical Research 2021-12528
6 · The paper itself

Abstract

Toxin-antitoxin (TA) modules are widely found in the genomes of pathogenic bacteria. They regulate vital cellular functions like transcription, translation, and DNA replication, and are therefore essential to the survival of bacteria under stress. With a focus on the type II parDE modules, this study thoroughly examines TAome in Pseudomonas aeruginosa, a bacterium well-known for its adaptability and antibiotic resistance. We explored the TAome in three P. aeruginosa strains: ATCC 27,853, PAO1, and PA14, and found 15 type II TAs in ATCC 27,853, 12 in PAO1, and 13 in PA14, with significant variation in the associated mobile genetic elements. Five different parDE homologs were found by further TAome analysis in ATCC 27,853, and their relationships were confirmed by sequence alignments and precise genomic positions. After comparing these ParDE modules' sequences to those of other pathogenic bacteria, it was discovered that they were conserved throughout many taxa, especially Proteobacteria. Nucleic acids were predicted as potential ligands for ParD antitoxins, whereas ParE toxins interacted with a wide range of small molecules, indicating a diverse functional repertoire. The interaction interfaces between ParDE TAs were clarified by protein-protein interaction networks and docking studies, which also highlighted important residues involved in binding. This thorough examination improves our understanding of the diversity, evolutionary dynamics, and functional significance of TA systems in P. aeruginosa, providing insights into their roles in bacterial physiology and pathogenicity.

Indexed as

Bacterial ProteinsBacterial ToxinsPseudomonas aeruginosaToxin-Antitoxin SystemsAntitoxinsComputational BiologyGenome, BacterialProtein Interaction MapsSequence AlignmentAntitoxinsBacterial ProteinsBacterial ToxinsAntitoxinparDEPartitioningPseudomonas aeruginosaTAomeToxin

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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.