Tomato pathogen genome may offer clues about bacterial evolution at the dawn of agriculture
April 24, 2008
The availability of new genome sequencing technology has prompted a Virginia Tech plant scientist Boris Vinatzer to test an intriguing hypothesis about how agriculture's early beginnings may have impacted the evolution of plant pathogens.
Vinatzer, assistant professor of plant pathology, physiology, and weed science in the College of Agriculture and Life Sciences, is investigating the pathogen that causes bacterial speck disease in tomatoes and developing a new undergraduate course in microbial genomics using a $1 million, five-year Faculty Early Career Development (CAREER) Award, which is the National Science Foundation’s most prestigious award for creative junior faculty considered to be future leaders in their academic fields.
“Little is known about how plant pathogens, which were adapted to natural mixed-plant communities in pre-agriculture times, evolved into today’s highly aggressive pathogens of crops cultivated in monoculture,” Vinatzer said. “To fill this void, this project aims at identifying the molecular evolutionary mechanisms that allow pathogens to specialize to specific plant species and to become more aggressive.”
In 2007, Vinatzer sequenced the genome of a Pseudomonas syringae pv. tomato strain using technology from the Virginia Bioinformatics Institute at Virginia Tech and funding from the university’s Institute for Biomedical and Public Health Sciences. The tomato pathogen was the first genome to be sequenced on the new Roche GS-FLX™ machine, which the institute had just purchased with Virginia’s Commonwealth Research Initiative funding.
“That sequence, in addition to other preliminary data, allowed me to develop a hypothesis on the evolution of plant pathogenic bacteria since the beginning of agriculture,” Vinatzer said. “The hypothesis is that plant pathogenic bacteria evolved from relatively weak pathogens that caused disease in many plants to specialized highly virulent pathogens of single crops after entire fields of the same plant species became available to them in agricultural fields. Importantly, understanding the mechanisms pathogens used to adapt to crops in the past will help us predict how they might change again in the future and allow us to breed or engineer crops for long-lasting disease resistance.”
Vinatzer’s approach combines comparative evolutionary genomics, population genetics, and microbial genetics and leverages the latest advances in the biological sciences and the computer sciences. He is collaborating with João Setubal, associate professor and deputy director at the Virginia Bioinformatics Institute.