Evidence map›Paper›PMID 24586045›Full record

ArticleMolecular biology and evolution2014

Efficient inference of recombination hot regions in bacterial genomes.

Koji Yahara, Xavier Didelot, M Azim Ansari, Samuel K Sheppard, Daniel Falush

Open access · bronzeAbstract read
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Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
8.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 75 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Koji YaharaDepartment of Medical Genome Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, JapanInstitute of Medical Science, University of Tokyo, Tokyo, JapanInstitute of Life Science, College of Medicine, Swansea University, Swansea, United Kingdom.
Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
M Azim AnsariDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Samuel K SheppardInstitute of Life Science, College of Medicine, Swansea University, Swansea, United Kingdom.
Daniel FalushDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany daniel_falush@eva.mpg.de.
Swansea University · GBImperial College London · GBMax Planck Institute for Evolutionary Anthropology · DEUniversity of Oxford · GB

Funding

Medical Research Council G0801929Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

In eukaryotes, detailed surveys of recombination rates have shown variation at multiple genomic scales and the presence of "hotspots" of highly elevated recombination. In bacteria, studies of recombination rate variation are less developed, in part because there are few analysis methods that take into account the clonal context within which bacterial evolution occurs. Here, we focus in particular on identifying "hot regions" of the genome where DNA is transferred frequently between isolates. We present a computationally efficient algorithm based on the recently developed "chromosome painting" algorithm, which characterizes patterns of haplotype sharing across a genome. We compare the average genome wide painting, which principally reflects clonal descent, with the painting for each site which additionally reflects the specific deviations at the site due to recombination. Using simulated data, we show that hot regions have consistently higher deviations from the genome wide average than normal regions. We applied our approach to previously analyzed Escherichia coli genomes and revealed that the new method is highly correlated with the number of recombination events affecting each site inferred by ClonalOrigin, a method that is only applicable to small numbers of genomes. Furthermore, we analyzed recombination hot regions in Campylobacter jejuni by using 200 genomes. We identified three recombination hot regions, which are enriched for genes related to membrane proteins. Our approach and its implementation, which is downloadable from https://github.com/bioprojects/orderedPainting, will help to develop a new phase of population genomic studies of recombination in prokaryotes.

Indexed as

Genome, BacterialRecombination, GeneticAlgorithmsBacterial ProteinsCampylobacter jejuniChromosome PaintingComputational BiologyEscherichia coliMembrane ProteinsModels, GeneticBacterial ProteinsMembrane Proteinschromosome paintinghomologous recombinationpopulation genomicsrecombination hot regionrecombination hotspotselection

Identifiers

PMID24586045
PMCPMC4032127
OpenAlexW2141467712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.