Plant Pathology
Welcome to the Department of Plant Pathology

We are a department of plant and microbial scientists, teaching and experimenting alongside our students, the next generation of scientists and leaders.

Our internationally recognized programs and faculty, culturally diverse students, state-of-the-art facilities and friendly atmosphere provide an ideal environment for learning. While browsing our pages, please consider whether joining a community like ours might be the right training experience for you to launch or advance your science career.

Announcements
Investigating Genomics of Stem Rust-Wheat Interaction

USDA AFRI (USA), in close collaboration with the international BGRI team, funded a project on functional genomics of stem rust wheat interaction. In this project led by Kansas State University (E. Akhunov) in collaboration with UC Davis (J. Dubcovsky) researchers are investigating molecular interactions among the cloned Ug99 resistance gene (Sr35), pathogen effectors, and their wheat targets.

 

 
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Brandon Pfannenstiel Wins Research Scholarship
Freshman PLPTH 599 Undergraduate Research in Plant Pathology student Brandon Pfannenstiel was awarded a $4,000 K-INBRE (Kansas IDeA Network of Biomedical Research Excellence) Summer/Semester scholarship.  Brandon will work with faculty mentor Dr. Richard Todd to identify by mutation key amino acids within the nuclear export signal of the GATA transcription factor AreA, which exits the nucleus of cells in response to nutrient availability in the model eukaryote Aspergillus nidulans.

Workshop: An introduction to R programming for biologists
PLPTH 921B (Course number 10876)
A 1-credit course with credit/no-credit grading
1:00 pm - 5:00 pm, 12-15 June 2012, TH 4031

R is a popular and free software environment that includes a set of base packages for graphics, math, and statistics. Additional packages have been developed for a wide range of applications in biology, such as Bioconductor for bioinformatics and vegan for community ecology. This workshop is an introduction to the R programming environment for biological applications, including an overview of data management, graphics, introductory statistics, phylogenetic analyses, biomathematical modeling, and bioinformatics. It will be most useful to people who have already had at least introductory coursework in biology and statistics or mathematics.

*Please bring your own computer for use during the class.
This course will be offered annually, and in future years it will have a permanent course number, PLPTH850.
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