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Comparative genomic analysis of Ralstonia solanacearum reveals candidate genes for host specificity

Overview of attention for article published in BMC Genomics, April 2015
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Title
Comparative genomic analysis of Ralstonia solanacearum reveals candidate genes for host specificity
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1474-8
Pubmed ID
Authors

Florent Ailloud, Tiffany Lowe, Gilles Cellier, David Roche, Caitilyn Allen, Philippe Prior

Abstract

Ralstonia solanacearum is a vascular soil-borne plant pathogen with an unusually broad host range. This economically destructive and globally distributed bacterium has thousands of distinct lineages within a heterogeneous and taxonomically disputed species complex. Some lineages include highly host-adapted strains (ecotypes), such as the banana Moko disease-causing strains, the cold-tolerant potato brown rot strains (also known as R3bv2) and the recently emerged Not Pathogenic to Banana (NPB) strains. These distinct ecotypes offer a robust model to study host adaptation and the emergence of ecotypes because the polyphyletic Moko strains include lineages that are phylogenetically close to the monophyletic brown rot and NPB strains. Draft genomes of eight new strains belonging to these three model ecotypes were produced to complement the eleven publicly available R. solanacearum genomes. Using a suite of bioinformatics methods, we searched for genetic and evolutionary features that distinguish ecotypes and propose specific hypotheses concerning mechanisms of host adaptation in the R. solanacearum species complex. Genome-wide, few differences were identified, but gene loss events, non-synonymous polymorphisms, and horizontal gene transfer were identified among type III effectors and were associated with host range differences. This extensive comparative genomics analysis uncovered relatively few divergent features among closely related strains with contrasting biological characteristics; however, several virulence factors were associated with the emergence of Moko, NPB and brown rot and could explain host adaptation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Germany 1 <1%
Indonesia 1 <1%
Brazil 1 <1%
Belgium 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 127 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Student > Master 23 17%
Researcher 18 13%
Student > Bachelor 10 7%
Student > Doctoral Student 7 5%
Other 18 13%
Unknown 24 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 57%
Biochemistry, Genetics and Molecular Biology 18 13%
Environmental Science 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Immunology and Microbiology 2 1%
Other 7 5%
Unknown 25 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2015.
All research outputs
#18,407,102
of 22,800,560 outputs
Outputs from BMC Genomics
#8,175
of 10,649 outputs
Outputs of similar age
#193,671
of 264,940 outputs
Outputs of similar age from BMC Genomics
#219
of 266 outputs
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