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. 2019 Nov 13;14(11):e0222755.
doi: 10.1371/journal.pone.0222755. eCollection 2019.

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

Ibrahim S Elbasyoni  1   2 , Walid M El-Orabey  3 , Sabah Morsy  1 , P S Baenziger  2 , Zakaria Al Ajlouni  4 , Ismail Dowikat  2
Affiliations

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

Ibrahim S Elbasyoni et al. PLoS One. .

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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1
Accessions distribution based on the improvement degree, i.e, improved, landraces and unknown, using the first two principal components, before [A] and after [B] classifying the unknown accessions.
Fig 2
Fig 2
The distribution of polymorphism information content [PIC] [A] and allele frequency [B] for the improved accessions and landraces.
Fig 3
Fig 3. The distribution of the pair-wise shared alleles for the improved accessions and the landraces.
Fig 4
Fig 4. The distribution of the yellow rust resistance score across environments for the improved accessions and landraces.
Fig 5
Fig 5. Genome-wide linkage disequilibrium (LD) decays for the landraces and the improved accessions using 3215 SNP markers.
Fig 6
Fig 6
Manhattan plot for stripe rust results obtained from genome-wide association mapping for all accessions (A), improved accessions (B) and landraces (C).
Fig 7
Fig 7. Boxplot for the number of favorable alleles effect on stripe rust resistance for the improved accessions and the landraces.
See this image and copyright information in PMC

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