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Transformation of Natural Genetic Variation into Haemophilus Influenzae Genomes
Journal article   Open access   Peer reviewed

Transformation of Natural Genetic Variation into Haemophilus Influenzae Genomes

Joshua Chang Mell, Svetlana Shumilina, Ira M. Hall and Rosemary J. Redfield
PLoS pathogens, v 7(7), pp e1002151-e1002151
01 Jul 2011
PMID: 21829353
url
https://doi.org/10.1371/journal.ppat.1002151View
Published, Version of Record (VoR) Open

Abstract

Life Sciences & Biomedicine Microbiology Parasitology Science & Technology Virology
Many bacteria are able to efficiently bind and take up double-stranded DNA fragments, and the resulting natural transformation shapes bacterial genomes, transmits antibiotic resistance, and allows escape from immune surveillance. The genomes of many competent pathogens show evidence of extensive historical recombination between lineages, but the actual recombination events have not been well characterized. We used DNA from a clinical isolate of Haemophilus influenzae to transform competent cells of a laboratory strain. To identify which of the,40,000 polymorphic differences had recombined into the genomes of four transformed clones, their genomes and their donor and recipient parents were deep sequenced to high coverage. Each clone was found to contain similar to 1000 donor polymorphisms in 3-6 contiguous runs (8.1 +/- 4.5 kb in length) that collectively comprised similar to 1-3% of each transformed chromosome. Seven donor-specific insertions and deletions were also acquired as parts of larger donor segments, but the presence of other structural variation flanking 12 of 32 recombination breakpoints suggested that these often disrupt the progress of recombination events. This is the first genome-wide analysis of chromosomes directly transformed with DNA from a divergent genotype, connecting experimental studies of transformation with the high levels of natural genetic variation found in isolates of the same species.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Microbiology
Parasitology
Virology
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