Evidence map›Paper›PMID 42601613›Full record

ArticleBMC bioinformatics2026

plsMD: a plasmid reconstruction tool from short-read assemblies.

Maryam Lotfi, Deena Jalal, Ahmed A Sayed

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Article in BMC bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Maryam Lotfi *Department of Basic Research, Genomics and Metagenomics Program, Children's Cancer Hospital Egypt 57357, Cairo, Egypt.
Deena Jalal *Department of Basic Research, Genomics and Metagenomics Program, Children's Cancer Hospital Egypt 57357, Cairo, Egypt. deena.jalal@57357.org.
Ahmed A SayedDepartment of Basic Research, Genomics and Metagenomics Program, Children's Cancer Hospital Egypt 57357, Cairo, Egypt. ahmad.sayed@57357.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile whole genome sequencing has become a cornerstone of antimicrobial resistance surveillance, the reconstruction of plasmid sequences from short-read data remains a challenge due to repetitive sequences and assembly fragmentation. Current computational tools for plasmid identification and binning have limitations in reconstructing full plasmid sequences, hindering downstream analyses like phylogenetic studies and antimicrobial resistance gene tracking.

resultsWe present plsMD, a tool designed for full plasmid reconstruction from short-read assemblies. plsMD integrates Unicycler assemblies with replicon and full plasmid sequence databases to guide plasmid reconstruction through a series of contig manipulations. Using two datasets - an established benchmark dataset used in previous benchmarking studies and a novel dataset consisting of newly sequenced bacterial isolates - plsMD outperformed existing tools in both. In the benchmark dataset, it achieved excellent recall, precision, and F1 scores of 91.3%, 95.5%, and 92.0%, respectively. In the novel dataset, it achieved recall, precision, and F1 scores of 77.6, 88.9 and 74.5%, respectively. plsMD supports two usage modalities: single-sample analysis for plasmid reconstruction and gene annotation, and batch-sample analysis for phylogenetic investigations of plasmid transmission.

conclusionsplsMD represents a significant advancement in plasmid analysis, offering a robust solution for utilizing existing short-read whole genome sequencing data to study plasmid-mediated antimicrobial resistance spread and evolution.

Indexed as

PlasmidsSequence Analysis, DNASoftwareGenome, BacterialWhole Genome SequencingBacterial genomesDNA sequence analysisMobile genetic elementsPlasmid reconstructionPlasmids

Identifiers

PMID42601613
PMCPMC13474732

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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.