Document Type
Article
Publication Date
6-2021
Keywords
Spinach; Downy mildew; Disease resistance; GWAS; Mapping; Breeding
Abstract
Background
Downy mildew, the most devastating disease of spinach (Spinacia oleracea L.), is caused by the oomycete Peronospora effusa [=P. farinosa f. sp. spinaciae]. The P. effusa shows race specificities to the resistant host and comprises 19 reported races and many novel isolates. Sixteen new P. effusa races were identified during the past three decades, and the new pathogen races are continually overcoming the genetic resistances used in commercial cultivars. A spinach breeding population derived from the cross between cultivars Whale and Lazio was inoculated with P. effusa race 16 in an environment-controlled facility; disease response was recorded and genotyped using genotyping by sequencing (GBS). The main objective of this study was to identify resistance-associated single nucleotide polymorphism (SNP) markers from the cultivar Whale against the P. effusa race 16.
Results
Association analysis conducted using GBS markers identified six significant SNPs (S3_658,306, S3_692697, S3_1050601, S3_1227787, S3_1227802, S3_1231197). The downy mildew resistance locus from cultivar Whale was mapped to a 0.57 Mb region on chromosome 3, including four disease resistance candidate genes (Spo12736, Spo12784, Spo12908, and Spo12821) within 2.69–11.28 Kb of the peak SNP.
Conclusions
Genomewide association analysis approach was used to map the P. effusa race 16 resistance loci and identify associated SNP markers and the candidate genes. The results from this study could be valuable in understanding the genetic basis of downy mildew resistance, and the SNP marker will be useful in spinach breeding to select resistant lines.
Citation
Bhattarai, G., Yang, W., Shi, A., Feng, C., Dhillon, B., Correll, J. C., & Mou, B. (2021). High Resolution Mapping and Candidate Gene Identification of Downy Mildew Race 16 Resistance in Spinach. BMC Genomics, 22 (1), 478. https://doi.org/10.1186/s12864-021-07788-8
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This work is licensed under a Creative Commons Attribution 4.0 International License.