Title |
Phytophthora Genome Sequences Uncover Evolutionary Origins and Mechanisms of Pathogenesis
|
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Published in |
Science, September 2006
|
DOI | 10.1126/science.1128796 |
Pubmed ID | |
Authors |
Brett M. Tyler, Sucheta Tripathy, Xuemin Zhang, Paramvir Dehal, Rays H. Y. Jiang, Andrea Aerts, Felipe D. Arredondo, Laura Baxter, Douda Bensasson, Jim L. Beynon, Jarrod Chapman, Cynthia M. B. Damasceno, Anne E. Dorrance, Daolong Dou, Allan W. Dickerman, Inna L. Dubchak, Matteo Garbelotto, Mark Gijzen, Stuart G. Gordon, Francine Govers, Niklaus J. Grunwald, Wayne Huang, Kelly L. Ivors, Richard W. Jones, Sophien Kamoun, Konstantinos Krampis, Kurt H. Lamour, Mi-Kyung Lee, W. Hayes McDonald, MoÌnica Medina, Harold J. G. Meijer, Eric K. Nordberg, Donald J. Maclean, Manuel D. Ospina-Giraldo, Paul F. Morris, Vipaporn Phuntumart, Nicholas H. Putnam, Sam Rash, Jocelyn K. C. Rose, Yasuko Sakihama, Asaf A. Salamov, Alon Savidor, Chantel F. Scheuring, Brian M. Smith, Bruno W. S. Sobral, Astrid Terry, Trudy A. Torto-Alalibo, Joe Win, Zhanyou Xu, Hongbin Zhang, Igor V. Grigoriev, Daniel S. Rokhsar, Jeffrey L. Boore |
Abstract |
Draft genome sequences have been determined for the soybean pathogen Phytophthora sojae and the sudden oak death pathogen Phytophthora ramorum. Oömycetes such as these Phytophthora species share the kingdom Stramenopila with photosynthetic algae such as diatoms, and the presence of many Phytophthora genes of probable phototroph origin supports a photosynthetic ancestry for the stramenopiles. Comparison of the two species' genomes reveals a rapid expansion and diversification of many protein families associated with plant infection such as hydrolases, ABC transporters, protein toxins, proteinase inhibitors, and, in particular, a superfamily of 700 proteins with similarity to known oömycete avirulence genes. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 14 | 3% |
United Kingdom | 8 | 1% |
Spain | 7 | 1% |
France | 7 | 1% |
Canada | 4 | <1% |
Netherlands | 3 | <1% |
Brazil | 2 | <1% |
Germany | 2 | <1% |
India | 1 | <1% |
Other | 9 | 2% |
Unknown | 479 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 148 | 28% |
Student > Ph. D. Student | 120 | 22% |
Student > Master | 57 | 11% |
Student > Bachelor | 39 | 7% |
Student > Doctoral Student | 27 | 5% |
Other | 88 | 16% |
Unknown | 57 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 368 | 69% |
Biochemistry, Genetics and Molecular Biology | 56 | 10% |
Environmental Science | 14 | 3% |
Computer Science | 9 | 2% |
Engineering | 5 | <1% |
Other | 20 | 4% |
Unknown | 64 | 12% |