Evaluation of a global spring wheat panel for stripe rust: Resistance loci validation and novel resources identification

Authors

Ibrahim ElBasyoni, Damanhour University & University of Nebraska- LincolnFollow
Walid M. El-Orabey, Plant Pathology Res. Institute
Sabah Morsy, Damanhur University
P. S. Baenziger, University of Nebraska-LincolnFollow
Zakaria Al Ajlouni4, Jordan University of Science and Technology
Ismail M. Dweikat, University of Nebraska-LincolnFollow

ORCID IDs

http://orcid.org/0000-0002-7210-8788

Document Type

Article

Date of this Version

11-13-2019

Citation

2019 Elbasyoni et al.

Comments

https://doi.org/10.1371/journal.pone.0222755

Abstract

Stripe rust (incited by Puccinia striiformis f. sp. tritici) is airborne wheat (Triticum aestivum L.) disease with dynamic virulence evolution. Thus, anticipatory and continued screening in hotspot regions is crucial to identify new pathotypes and integrate new resistance resources to prevent potential disease epidemics. A global wheat panel consisting of 882 landraces and 912 improved accessions was evaluated in two locations in Egypt during 2016 and 2017. Five prevalent and aggressive pathotypes of stripe rust were used to inoculate the accessions during the two growing seasons and two locations under field conditions. The objectives were to evaluate the panel for stripe rust resistance at the adult plant stage, identify potentially novel QTLs associated with stripe rust resistance, and validate previously reported stripe rust QTLs under the Egyptian conditions. The results indicated that 42 landraces and 140 improved accessions were resistant to stripe rust. Moreover, 24 SNPs were associated with stripe rust resistance and were within 18 wheat functional genes. Four of these genes were involved in several plant defense mechanisms. The number of favorable alleles, based upon the associated SNPs, was significant and negatively correlated with stripe rust resistance score, i.e., as the number of resistances alleles increased the observed resistance increased. In conclusion, generating new stripe rust phenotypic information on this panel while using the publicly available molecular marker data, contributed to identifying potentially novel QTLs associated with stripe rust and validated 17 of the previously reported QTLs in one of the global hotspots for stripe rust.