Pathotype Complexity and Genetic Characterization of Phytophthora sojae Populations in Illinois, Indiana, Kentucky, and Ohio

Author:

Hebb Linda Weber1,Bradley Carl A.2,Mideros Santiago Xavier3,Telenko Darcy E. P.4,Wise Kiersten5,Dorrance Anne Elizabeth6

Affiliation:

1. The Ohio State University, Plant Pathology, Wooster, Ohio, United States, ;

2. University of Kentucky, Plant Pathology, UKREC, 1205 Hopkinsville St., PO Box 469, Princeton, Kentucky, United States, 42445, ;

3. University of Illinois at Urbana-Champaign, 14589, Crop Sciences, AW-101 Turner Hall, 1102 S. Goodwin Av., Urbana, Illinois, United States, 61801-3028, ;

4. Purdue University System, 8522, Botany and Plant Pathology, West Lafayette, Indiana, United States, ;

5. University of Kentucky, 4530, Plant Pathology, Princeton, Kentucky, United States, ;

6. The Ohio State University, Plant Pathology, 1680 Madison Ave., Wooster, Ohio, United States, 44691, , ;

Abstract

Phytophthora sojae, the causal agent of Phytophthora root and stem rot of soybean, has been managed with single Rps genes since the 1960’s, but has subsequently adapted to many of these resistance genes, rendering them ineffective. The objective of this study was to examine the pathotype and genetic diversity of P. sojae from soil samples across Illinois, Indiana, Kentucky, and Ohio by assessing which Rps gene(s) were still effective and identifying possible population clusters. There were 218 pathotypes identified from 473 P. sojae isolates with an average of 6.7 out of 15 differential soybean lines exhibiting a susceptible response for each isolate. Genetic characterization of 103 P. sojae isolates from across Illinois, Indiana, Kentucky, and Ohio with 19 simple sequence repeat markers identified 92 multilocus genotypes. There was a moderate level of population differentiation among these four states, with pairwise FST values ranging from 0.026 to 0.246. There was also moderate to high levels of differentiation between fields, with pairwise FST values ranging from 0.071 to 0.537. Additionally, cluster analysis detected the presence of P. sojae population structure across neighboring states. The level of pathotype and genetic diversity, in addition to the identification of population clusters, supports the hypothesis of occasional outcrossing events that allow for an increase in diversity and the potential to select for a loss in avirulence to specific resistance genes within regions. The trend of suspected gene flow among neighboring fields is expected to be an ongoing issue with current agricultural practices.

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science

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