Title |
Genomes of three tomato pathogens within the Ralstonia solanacearum species complex reveal significant evolutionary divergence
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Published in |
BMC Genomics, June 2010
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DOI | 10.1186/1471-2164-11-379 |
Pubmed ID | |
Authors |
Benoît Remenant, Bénédicte Coupat-Goutaland, Alice Guidot, Gilles Cellier, Emmanuel Wicker, Caitilyn Allen, Mark Fegan, Olivier Pruvost, Mounira Elbaz, Alexandra Calteau, Gregory Salvignol, Damien Mornico, Sophie Mangenot, Valérie Barbe, Claudine Médigue, Philippe Prior |
Abstract |
The Ralstonia solanacearum species complex includes thousands of strains pathogenic to an unusually wide range of plant species. These globally dispersed and heterogeneous strains cause bacterial wilt diseases, which have major socio-economic impacts. Pathogenicity is an ancestral trait in R. solanacearum and strains with high genetic variation can be subdivided into four phylotypes, correlating to isolates from Asia (phylotype I), the Americas (phylotype IIA and IIB), Africa (phylotype III) and Indonesia (phylotype IV). Comparison of genome sequences strains representative of this phylogenetic diversity can help determine which traits allow this bacterium to be such a pathogen of so many different plant species and how the bacteria survive in many different habitats. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Brazil | 2 | 1% |
Uganda | 1 | <1% |
Ethiopia | 1 | <1% |
Germany | 1 | <1% |
France | 1 | <1% |
Spain | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 186 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 27% |
Researcher | 40 | 20% |
Student > Master | 28 | 14% |
Student > Doctoral Student | 15 | 8% |
Student > Bachelor | 13 | 7% |
Other | 24 | 12% |
Unknown | 24 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 129 | 66% |
Biochemistry, Genetics and Molecular Biology | 24 | 12% |
Immunology and Microbiology | 7 | 4% |
Social Sciences | 3 | 2% |
Engineering | 2 | 1% |
Other | 6 | 3% |
Unknown | 25 | 13% |