Evidence map›Paper›PMID 41591842›Full record

ArticleNucleic acids research2026

PlasAnn: a curated plasmid-specific database and annotation pipeline for standardized gene and function analysis.

Habibul Islam, Abhishek Sharma, Jordan Blair, Allison J Lopatkin

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. 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

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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. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Habibul IslamDepartment of Chemical Engineering, University of Rochester, 4510 Wegmans Hall, Rochester, NY 14627, United States.ORCID 0000-0003-0900-617X
Abhishek SharmaGeorgen Institute of Data Science, University of Rochester, 4510 Wegmans Hall, Rochester, NY 14627, United States.
Jordan BlairDepartment of Chemical Engineering, University of Rochester, 4510 Wegmans Hall, Rochester, NY 14627, United States.
Allison J LopatkinDepartment of Chemical Engineering, University of Rochester, 4510 Wegmans Hall, Rochester, NY 14627, United States.

Funding

Determinants underlying horizontal gene transfer-mediated pathogen successR35GM150871 · NIGMS · UNIVERSITY OF ROCHESTER · PI Allison Lopatkin · 2023 to 2026
$1.7M
Edward Mallinckrodt Jr. FoundationNational Science Foundation 2440082NIGMS NIH HHS R35 GM150871NIH HHS 1R35GM150871-01Pew Charitable Trusts Foundation
6 · The paper itself

Abstract

Conjugative plasmids are key drivers of bacterial adaptation, enabling the horizontal transfer of accessory genes within and across diverse microbial populations, yet annotating them remains challenging due to their highly mosaic genetic architectures and inconsistent gene naming conventions that complicate functional predictions and comparative analyses. To address this, we developed PlasAnn, a database designed specifically for genes encoded on natural plasmids, paired with a dedicated annotation pipeline (available via Bioconda or through the URL https://plasann.rochester.edu/). The curated database provides highly accurate, plasmid-type-specific gene names with standardized functional annotations, enabling direct comparison across plasmids without manual curation or specialized expertise, while the integrated annotation tool incorporates other common plasmid features for a fast, one-stop solution that outperforms broad prokaryotic genome annotation pipelines in both accuracy and efficiency. We demonstrate PlasAnn's utility by showing that plasmid accessory genes from different groups often share conserved repertoires, suggesting dynamic, modular networks of interconnected genes, and by revealing that plasmid-encoded transposable elements frequently carry genes related to bacterial adaptation beyond antibiotic resistance, including metabolism, virulence, and stress responses, emphasizing their broader contributions to fitness and adaptability. These insights, not captured by current field-standard tools, highlight how PlasAnn improves plasmid annotation and advances our understanding of plasmid biology, microbial ecology, and evolution.

Indexed as

Databases, GeneticMolecular Sequence AnnotationPlasmidsBacteriaBiocurationDNA Transposable ElementsGenes, BacterialGenome, BacterialSoftwareDNA Transposable Elements

Identifiers

PMID41591842
PMCPMC12839544

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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.