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M. Pilar Garcillán-Barcia

Researcher at Spanish National Research Council

Publications -  37
Citations -  2753

M. Pilar Garcillán-Barcia is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Plasmid & Relaxase. The author has an hindex of 19, co-authored 33 publications receiving 2198 citations. Previous affiliations of M. Pilar Garcillán-Barcia include University of Cantabria.

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Mobility of Plasmids

TL;DR: A computational protocol was established to identify and classify conjugation and mobilization genetic modules in 1,730 plasmids, suggesting the existence of unsuspected new relaxases in archaea and new conjugations systems in cyanobacteria and actinobacteria.
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A classification scheme for mobilization regions of bacterial plasmids.

TL;DR: The genetic organization of each family of mobilization regions is outlined, as well as the most relevant properties and relationships among their constituent encoded proteins, which constitutes a first approach to the characterization of the global gene pool of mobilize regions of small mobilizable plasmids.
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Pathways for horizontal gene transfer in bacteria revealed by a global map of their plasmids

TL;DR: A global map of the prokaryotic plasmidome is described, where plasmids organize into discrete ‘plasmid taxonomic units’ based on their genomic composition and pairwise sequence identity.
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Why is entry exclusion an essential feature of conjugative plasmids

TL;DR: It is suggested that entry exclusion limits the damage of lethal zygosis and avoids competition in a host among identical plasmid backbones, and the lack of entry exclusion in conjugative transposons can be understood as a means of generating rapid evolutionary change.
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Plasmid Flux in Escherichia coli ST131 Sublineages, Analyzed by Plasmid Constellation Network (PLACNET), a New Method for Plasmid Reconstruction from Whole Genome Sequences

TL;DR: A method is developed that identifies, visualizes and analyzes plasmids in WGS projects by creating a network of contig interactions, thus allowing comprehensive plasmid analysis within WGS datasets.