Title |
Transcriptomic analysis of the interaction between Helianthus annuus and its obligate parasite Plasmopara halstedii shows single nucleotide polymorphisms in CRN sequences
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Published in |
BMC Genomics, October 2011
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DOI | 10.1186/1471-2164-12-498 |
Pubmed ID | |
Authors |
Falah As-sadi, Sébastien Carrere, Quentin Gascuel, Thibaut Hourlier, David Rengel, Marie-Christine Le Paslier, Amandine Bordat, Marie-Claude Boniface, Dominique Brunel, Jérôme Gouzy, Laurence Godiard, Patrick Vincourt |
Abstract |
Downy mildew in sunflowers (Helianthus annuus L.) is caused by the oomycete Plasmopara halstedii (Farl.) Berlese et de Toni. Despite efforts by the international community to breed mildew-resistant varieties, downy mildew remains a major threat to the sunflower crop. Very few genomic, genetic and molecular resources are currently available to study this pathogen. Using a 454 sequencing method, expressed sequence tags (EST) during the interaction between H. annuus and P. halstedii have been generated and a search was performed for sites in putative effectors to show polymorphisms between the different races of P. halstedii. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 50% |
India | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 5 | 7% |
Australia | 1 | 1% |
India | 1 | 1% |
United Kingdom | 1 | 1% |
Argentina | 1 | 1% |
Unknown | 63 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 33% |
Student > Doctoral Student | 9 | 13% |
Student > Ph. D. Student | 7 | 10% |
Professor > Associate Professor | 6 | 8% |
Student > Bachelor | 5 | 7% |
Other | 15 | 21% |
Unknown | 6 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 51 | 71% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Computer Science | 2 | 3% |
Engineering | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Other | 3 | 4% |
Unknown | 8 | 11% |