Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat

Durum wheat (Triticum turgidum ssp. durum) suffers substantial yield losses from yellow rust (Puccinia striiformis) and leaf rust (Puccinia triticina). In this study, we employed genome-wide association studies (GWAS) to identify loci associated with rust resistance and used genomic selection (GS) t...

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Main Authors: Menor de Gaspar, Juan, Domínguez Rondón, Alejandro, García-Abadillo, Juan, Knox, Ron, Bokore, Firdissa, Boyle, Kerry, Ammar, Karim, Huerta-Espino, Julio, Berraies, Samia, Meyer, Brad, Zhang, Wentao, Cuthbert, Richard, Fobert, Pierre, Ruan, Yuefeng, Isidro y Sánchez, Julio
Format: Journal Article
Language:Inglés
Published: Wiley Periodicals LLC 2025
Subjects:
Online Access:https://hdl.handle.net/10568/179138
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author Menor de Gaspar, Juan
Domínguez Rondón, Alejandro
García-Abadillo, Juan
Knox, Ron
Bokore, Firdissa
Boyle, Kerry
Ammar, Karim
Huerta-Espino, Julio
Berraies, Samia
Meyer, Brad
Zhang, Wentao
Cuthbert, Richard
Fobert, Pierre
Ruan, Yuefeng
Isidro y Sánchez, Julio
author_browse Ammar, Karim
Berraies, Samia
Bokore, Firdissa
Boyle, Kerry
Cuthbert, Richard
Domínguez Rondón, Alejandro
Fobert, Pierre
García-Abadillo, Juan
Huerta-Espino, Julio
Isidro y Sánchez, Julio
Knox, Ron
Menor de Gaspar, Juan
Meyer, Brad
Ruan, Yuefeng
Zhang, Wentao
author_facet Menor de Gaspar, Juan
Domínguez Rondón, Alejandro
García-Abadillo, Juan
Knox, Ron
Bokore, Firdissa
Boyle, Kerry
Ammar, Karim
Huerta-Espino, Julio
Berraies, Samia
Meyer, Brad
Zhang, Wentao
Cuthbert, Richard
Fobert, Pierre
Ruan, Yuefeng
Isidro y Sánchez, Julio
author_sort Menor de Gaspar, Juan
collection Repository of Agricultural Research Outputs (CGSpace)
description Durum wheat (Triticum turgidum ssp. durum) suffers substantial yield losses from yellow rust (Puccinia striiformis) and leaf rust (Puccinia triticina). In this study, we employed genome-wide association studies (GWAS) to identify loci associated with rust resistance and used genomic selection (GS) to evaluate the predictive accuracy of different statistical models and phenotyping metrics (AUDPC_GDD, Angle, GDD50, and maxVar) in a Canadian durum wheat panel. The panel was evaluated in Mexico for yellow rust across three seasons near Toluca, and for leaf rust over two seasons at El Bat & aacute;n. Our GWAS identified 36 significant marker-trait associations (MTAs), including known loci (Yr30, Yr57, Yr82, YrU1, Lr16, Lr17, Lr18, and Lr65) and previously unreported regions. Yellow rust resistance was linked to loci on chromosomes 3A (602.7 Mbp) and 3B (243.4 Mbp), while leaf rust MTAs appeared on chromosomes 5A (552.8 Mbp) and 7A (570 Mbp). Candidate genes near novel MTAs encode defense-related proteins such as serine/threonine kinases and NB-ARC (nucleotide binding-Apaf-1, R proteins, and CED-4), F-box, and RIN4 (RPM1-interacting protein 4)-domain proteins. Among four scoring metrics tested, AUDPC_GDD consistently outperformed others for yellow rust, whereas maxVar was most effective for leaf rust, reflecting differences in phenotypic distribution and trait variance. Bayesian GS models (BayesB) achieved the highest prediction accuracy, but including GWAS-derived fixed effects did not improve predictions, likely due to complexities in modeling major-effect loci. These results underscore the importance of rust-specific phenotyping strategies and illustrate the difficulty of integrating GWAS into GS models to dissect complex resistance traits.
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spelling CGSpace1791382025-12-22T02:07:47Z Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat Menor de Gaspar, Juan Domínguez Rondón, Alejandro García-Abadillo, Juan Knox, Ron Bokore, Firdissa Boyle, Kerry Ammar, Karim Huerta-Espino, Julio Berraies, Samia Meyer, Brad Zhang, Wentao Cuthbert, Richard Fobert, Pierre Ruan, Yuefeng Isidro y Sánchez, Julio puccinia striiformis puccinia triticina genome-wide association studies genomic selection disease resistance Durum wheat (Triticum turgidum ssp. durum) suffers substantial yield losses from yellow rust (Puccinia striiformis) and leaf rust (Puccinia triticina). In this study, we employed genome-wide association studies (GWAS) to identify loci associated with rust resistance and used genomic selection (GS) to evaluate the predictive accuracy of different statistical models and phenotyping metrics (AUDPC_GDD, Angle, GDD50, and maxVar) in a Canadian durum wheat panel. The panel was evaluated in Mexico for yellow rust across three seasons near Toluca, and for leaf rust over two seasons at El Bat & aacute;n. Our GWAS identified 36 significant marker-trait associations (MTAs), including known loci (Yr30, Yr57, Yr82, YrU1, Lr16, Lr17, Lr18, and Lr65) and previously unreported regions. Yellow rust resistance was linked to loci on chromosomes 3A (602.7 Mbp) and 3B (243.4 Mbp), while leaf rust MTAs appeared on chromosomes 5A (552.8 Mbp) and 7A (570 Mbp). Candidate genes near novel MTAs encode defense-related proteins such as serine/threonine kinases and NB-ARC (nucleotide binding-Apaf-1, R proteins, and CED-4), F-box, and RIN4 (RPM1-interacting protein 4)-domain proteins. Among four scoring metrics tested, AUDPC_GDD consistently outperformed others for yellow rust, whereas maxVar was most effective for leaf rust, reflecting differences in phenotypic distribution and trait variance. Bayesian GS models (BayesB) achieved the highest prediction accuracy, but including GWAS-derived fixed effects did not improve predictions, likely due to complexities in modeling major-effect loci. These results underscore the importance of rust-specific phenotyping strategies and illustrate the difficulty of integrating GWAS into GS models to dissect complex resistance traits. 2025-12 2025-12-21T21:29:36Z 2025-12-21T21:29:36Z Journal Article https://hdl.handle.net/10568/179138 en Open Access application/pdf Wiley Periodicals LLC Menor de Gaspar, J., Domínguez Rondón, A., García‐Abadillo, J., Knox, R., Bokore, F. E., Boyle, K., Ammar, K., Huerta‐Espino, J., Berraies, S., Meyer, B., Zhang, W., Cuthbert, R. D., Fobert, P., Ruan, Y., & Isidro y Sánchez, J. (2025). Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat. The Plant Genome, 18(4), e70124. https://doi.org/10.1002/tpg2.70124
spellingShingle puccinia striiformis
puccinia triticina
genome-wide association studies
genomic selection
disease resistance
Menor de Gaspar, Juan
Domínguez Rondón, Alejandro
García-Abadillo, Juan
Knox, Ron
Bokore, Firdissa
Boyle, Kerry
Ammar, Karim
Huerta-Espino, Julio
Berraies, Samia
Meyer, Brad
Zhang, Wentao
Cuthbert, Richard
Fobert, Pierre
Ruan, Yuefeng
Isidro y Sánchez, Julio
Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title_full Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title_fullStr Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title_full_unstemmed Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title_short Mapping novel yellow and leaf rust loci and predicting resistance in cross derived Canadian durum wheat
title_sort mapping novel yellow and leaf rust loci and predicting resistance in cross derived canadian durum wheat
topic puccinia striiformis
puccinia triticina
genome-wide association studies
genomic selection
disease resistance
url https://hdl.handle.net/10568/179138
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