An undergraduate team-research project: the comprehensive analysis of Arabidopsis loci associated with the functions of Pseudomonas syringae effectors.
K. MASE (1), E. Boak-Nyberg (2), R. Meyer (2), T. Pan (2), T. Reese (2), . Siegle (2), . Bair (2), P. Carlson (2), V. Carveth (2), C. Davis (2), S. Dumler (2), L. Gonsalves (2), H. Hanson (2), A. Heyder (2), P. Johnson (2), D. Kragh (2), R. Kurandina (2), K. Lim (2), A. Lord (2), A. Lord (2), S. Lothert (2), N. Luong Van (2), S. Miller (2), A. Ramnarayan (2), J. Resch (2), M. Rivi (2), N. Rudin (2), B. Spokely (2), N. Strom (2), B. Swanson (2), J. Walker (2), J. Wemmer (2), . Xie (2), S. Chakravarthy (3), H. Wei (3), A. Collmer (3), F. Katagiri (2) (1) University of Minnesota, U.S.A.; (2) University of Minnesota, U.S.A.; (3) Cornell University, U.S.A.
To understand how pathogen effectors interact with plant immune signaling components, we have launched an undergraduate team-research project to systematically identify Arabidopsis genes whose allelic variation alters response to individual effectors from the bacterial pathogen Pseudomonas syringae pv. tomato DC3000 (Pto). Pto carries about 30 type III effector genes. Some of the effectors target the same signaling components or pathways (functional redundancy), which makes identification of the functions of individual effectors difficult. We are using combinatorial effector strains derived from Pto, which carry limited numbers of its type III effector genes to circumvent the functional redundancy issue. To identify Arabidopsis genes that are functionally associated with the Pto effectors, we are exploring natural allelic variation in the genes that affect growth of combinatorial strains in planta. First, we established that 32 Arabidopsis accessions, which were selected for diversity in their origins and the availability of mapping populations, show substantial variation in growth of four combinatorial strains and that the patterns of variation across the accessions are substantially different among the four strains. Now we are trying to identify Arabidopsis genes underlying the phenotypic variation by QTL mapping using the Arabidopsis mapping population MAGIC (Multiparent Advanced Generation Inter-Cross) lines. This work was supported by an NSF grant, IOS-1121425.
Abstract Number:
P17-569
Session Type:
Poster
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