Genome-enabled analysis of population dynamics and virulence associated loci in the oat crown rust fungus Puccinia coronata f. sp. avenae

Author:

Hewitt Tim C.1,Henningsen Eva C.1,Pereira Danilo2,McElroy Kerensa1,Nazareno Eric S.3,Dugyala Sheshanka3,Nguyen-Phuc Hoa3,Li Feng3,Miller Marisa E.3,Visser Botma4,Pretorius Zacharias4,Boshoff Willem H. P.4,Sperschneider Jana1,Stukenbrock Eva H.2,Kianian Shahryar F.56,Dodds Peter7,Figueroa Melania1

Affiliation:

1. CSIRO, 2221, Agriculture and Food, Canberra, Australian Capital Territory, Australia;

2. Christian-Albrechts-Universität zu Kiel, 9179, Max Planck Institute of Evolutionary Biology, Kiel, Schleswig-Holstein, Germany;

3. University of Minnesota, 5635, Department of Plant Pathology, St. Paul, Minnesota, United States;

4. University of the Free State, 37702, Department of Plant Sciences, Bloemfontein, Free State, South Africa;

5. University of Minnesota, 5635, Department of Plant Pathology, St. Paul, Minnesota, United States

6. USDA ARS, 17123, Cereal Disease Laboratory, St. Paul, Minnesota, United States;

7. CSIRO, 2221, Agriculture and Food, Canberra, Australian Capital Territory, Australia, ;

Abstract

Puccinia coronata f. sp. avenae (Pca) is an important fungal pathogen causing crown rust that impacts oat production worldwide. Genetic resistance for crop protection against Pca is often overcome by the rapid virulence evolution of the pathogen. This study investigated the factors shaping adaptive evolution of Pca using pathogen populations from distinct geographic regions within the USA and South Africa (SA). Phenotypic and genome-wide sequencing data of these diverse Pca collections, including 217 isolates, uncovered phylogenetic relationships and established distinct genetic composition between populations from northern and southern regions from the USA and SA. The population dynamics of Pca involve a bidirectional movement of inoculum between northern and southern regions of the USA and contributions from clonality and sexuality. The population from SA is solely clonal. A genome-wide association study (GWAS) employing a haplotype-resolved Pca reference genome was used to define eleven virulence-associated loci corresponding to twenty-five oat differential lines. These regions were screened to determine candidate Avr effector genes. Overall, the GWAS results allowed us to identify the underlying genetic factors controlling pathogen recognition in an oat differential set used in the USA to assign pathogen races (pathotypes). Key GWAS findings support complex genetic interactions in several oat lines suggesting allelism among resistance genes or redundancy of genes included in the differential set, multiple resistance genes recognising genetically linked Avr effector genes, or potentially epistatic relationships. A careful evaluation of the composition of the oat differential set accompanied by the development or implementation of molecular markers is recommended.

Publisher

Scientific Societies

Subject

Agronomy and Crop Science,General Medicine,Physiology

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