Evaluation of Fusarium Head Blight Resistance Effects by Haplotype-Based Genome-Wide Association Study in Winter Wheat Lines Derived by Marker Backcrossing Approach

• Published in: International journal of molecular sciences Vol. 23; no. 22; p. 14233
• Main Authors: Radecka-Janusik, Magdalena, Piechota, Urszula, Piaskowska, Dominika, Góral, Tomasz, Czembor, Paweł
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 17-11-2022; MDPI
• Subjects: association weight matrix; Chromosomes; Crop yield; Cultivars; Disease resistance; Fungicides; Fusarium; Fusarium - genetics; Fusarium culmorum; Fusarium head blight; Genome-wide association studies; Genome-Wide Association Study; Genomes; GWAS; Haplotypes; Humans; Infections; Information theory; Inoculation; marker-assisted selection; Phenotypic variations; Plant Breeding; Plant Diseases - genetics; Plant Diseases - microbiology; Quantitative Trait Loci; Triticum - genetics; Triticum - microbiology; Triticum aestivum; Wheat; Fusarium culmorum; marker-assisted selection; GWAS; Triticum aestivum; association weight matrix
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms232214233

Fusarium head blight (FHB) of wheat caused by
species is a destructive disease, causing grain yield and quality losses. Developing FHB-resistant cultivars is crucial to minimize the extent of the disease. The first objective of this study was incorporation of
from a resistant donor into five Polish wheat breeding lines with good agronomical traits and different origins. We also performed a haplotype-based GWAS to identify chromosome regions in derived wheat families associated with Fusarium head blight resistance. As a result of marker-assisted backcrossing (MABC), five wheat combinations were obtained. Fungal inoculation and disease assessment were conducted for two years, 2019 and 2020. In 2019 the average phenotypic response of type II resistance was 2.2, whereas in 2020 it was 2.1. A haploblock-based GWAS performed on 10 phenotypic traits (related to type of resistance, year of experiment and FHB index) revealed nine marker-trait associations (MTA), among which six belong to chromosome 2D, two to 3B and one to 7D. Phenotypic variation (R
) explained by the identified haplotypes in haploblocks ranged from 6% to 49%. Additionally, an association weight matrix (AWM) was created, giving the partial correlation-information theory (PCIT) pipeline of 171 edges and 19 nodes. The resultant data and high level of explained phenotypic variance of MTA create the opportunity for data utilization in MAS.