ReviewMicrobial genomics2024
Towards quantifying plasmid similarity.
Review in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- pLAST-a tool for rapid comparison and classification of bacterial plasmid sequences.Bioinformatics (Oxford, England) · 2026Article
- Investigation of an outbreak ofMicrobial genomics · 2026Article
- A One Health study ofMicrobial genomics · 2026Article
- Plasmid Genomic Dynamics and One Health: Drivers of Antibiotic Resistance and Pathogenicity.Pathogens (Basel, Switzerland) · 2025Review
- Plasmid genomic epidemiology ofMicrobial genomics · 2025Article
- Scaling laws of bacterial and archaeal plasmids.Nature communications · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Plasmids are extrachromosomal replicons which can quickly spread resistance and virulence genes between clinical pathogens. From the tens of thousands of currently available plasmid sequences we know that overall plasmid diversity is structured, with related plasmids sharing a largely conserved 'backbone' of genes while being able to carry very different genetic cargo. Moreover, plasmid genomes can be structurally plastic and undergo frequent rearrangements. So, how can we quantify plasmid similarity? Answering this question requires practical efforts to sample natural variation as well as theoretical considerations of what defines a group of related plasmids. Here we consider the challenges of analysing and rationalising the current plasmid data deluge to define appropriate similarity thresholds.
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Registered trials
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.