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Towards quantifying plasmid similarity.
Matlock, William; Shaw, Liam P; Sheppard, Samuel K; Feil, Edward.
Affiliation
  • Matlock W; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Shaw LP; Department of Biology, University of Oxford, Oxford, UK.
  • Sheppard SK; Department of Biology, University of Oxford, Oxford, UK.
  • Feil E; Milner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK.
Microb Genom ; 10(9)2024 Sep.
Article in En | MEDLINE | ID: mdl-39264704
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmids Language: En Journal: Microb Genom Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmids Language: En Journal: Microb Genom Year: 2024 Document type: Article