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Genome-Wide Association and Selective Sweep Studies Reveal the Complex Genetic Architecture of DMI Fungicide Resistance in Cercospora beticola.

Authors :
Spanner R
Taliadoros D
Richards J
Rivera-Varas V
Neubauer J
Natwick M
Hamilton O
Vaghefi N
Pethybridge S
Secor GA
Friesen TL
Stukenbrock EH
Bolton MD
Source :
Genome biology and evolution [Genome Biol Evol] 2021 Sep 01; Vol. 13 (9).
Publication Year :
2021

Abstract

The rapid and widespread evolution of fungicide resistance remains a challenge for crop disease management. The demethylation inhibitor (DMI) class of fungicides is a widely used chemistry for managing disease, but there has been a gradual decline in efficacy in many crop pathosystems. Reliance on DMI fungicides has increased resistance in populations of the plant pathogenic fungus Cercospora beticola worldwide. To better understand the genetic and evolutionary basis for DMI resistance in C. beticola, a genome-wide association study (GWAS) and selective sweep analysis were conducted for the first time in this species. We performed whole-genome resequencing of 190 C. beticola isolates infecting sugar beet (Beta vulgaris ssp. vulgaris). All isolates were phenotyped for sensitivity to the DMI tetraconazole. Intragenic markers on chromosomes 1, 4, and 9 were significantly associated with DMI fungicide resistance, including a polyketide synthase gene and the gene encoding the DMI target CbCYP51. Haplotype analysis of CbCYP51 identified a synonymous mutation (E170) and nonsynonymous mutations (L144F, I387M, and Y464S) associated with DMI resistance. Genome-wide scans of selection showed that several of the GWAS mutations for fungicide resistance resided in regions that have recently undergone a selective sweep. Using radial plate growth on selected media as a fitness proxy, we did not find a trade-off associated with DMI fungicide resistance. Taken together, we show that population genomic data from a crop pathogen can allow the identification of mutations conferring fungicide resistance and inform about their origins in the pathogen population.<br /> (Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution 2021.)

Details

Language :
English
ISSN :
1759-6653
Volume :
13
Issue :
9
Database :
MEDLINE
Journal :
Genome biology and evolution
Publication Type :
Academic Journal
Accession number :
34499119
Full Text :
https://doi.org/10.1093/gbe/evab209