4.5 Article

Association Analysis for Bacterial Spot Resistance in a Directionally Selected Complex Breeding Population of Tomato

期刊

PHYTOPATHOLOGY
卷 105, 期 11, 页码 1437-1445

出版社

AMER PHYTOPATHOLOGICAL SOC
DOI: 10.1094/PHYTO-02-15-0051-R

关键词

population structure; selective genotyping

资金

  1. USDA/NRI Plant Genome grant [2004-35300-14651]
  2. Ohio Plant Biotechnology Consortium [2007-025]
  3. National Agricultural Genome Program, Rural Development Administration, Republic of Korea [PJ010438042015]
  4. Rural Development Administration (RDA), Republic of Korea [PJ010438042015] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Bacterial spot of tomato is caused by at least four species of Xanthomonas with multiple physiological races. We developed a complex breeding population for simultaneous discovery of marker-trait linkage, validation of existing quantitative trait loci (QTL), and pyramiding of resistance. Six advanced accessions with resistance from distinct sources were crossed in all combinations and their F-1 hybrids were intercrossed. Over 1,100 segregating progeny were evaluated in the field following inoculation with X. euvesicatoria race T1 strains. We selected 5% of the most resistant and 5% of the most susceptible progeny for evaluation as plots in two subsequent replicated field trials inoculated with T1 and T3 (X. perforans) strains. The estimated heritability of T1 resistance was 0.32. In order to detect previously reported resistance genes, as well as novel QTL, we explored methods to correct for population structure and analysis based on single markers or haplotypes. Both single-point and haplotype analyses identified strong associations in the genomic regions known to carry Rx-3 (chromosome 5) and Rx-4/Xv3 (chromosome 11). Accounting for kinship and structure generally improved the fit of statistical models. Detection of known loci was improved by adding kinship or a combination of kinship and structure using a Q matrix from model-based clustering. Additional QTL were detected on chromosomes 1, 4, 6, and 7 for T1 resistance and chromosomes 2, 4, and 6 for T3 resistance (P < 0.01). Haplotype analysis improved our ability to trace the origin of positive alleles. These results demonstrate that both known and novel associations can be identified using complex breeding populations that have experienced directional selection.

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