Literature DB >> 29352323

Identification of a molecular marker tightly linked to bacterial wilt resistance in tomato by genome-wide SNP analysis.

Boyoung Kim1, In Sun Hwang1, Hyung Jin Lee1, Je Min Lee2, Eunyoung Seo3, Doil Choi3, Chang-Sik Oh4.   

Abstract

KEY MESSAGE: Genotyping of disease resistance to bacterial wilt in tomato by a genome-wide SNP analysis Bacterial wilt caused by Ralstonia pseudosolanacearum is one of the destructive diseases in tomato. The previous studies have identified Bwr-6 (chromosome 6) and Bwr-12 (chromosome 12) loci as the major quantitative trait loci (QTLs) contributing to resistance against bacterial wilt in tomato cultivar 'Hawaii7996'. However, the genetic identities of two QTLs have not been uncovered yet. In this study, using whole-genome resequencing, we analyzed genome-wide single-nucleotide polymorphisms (SNPs) that can distinguish a resistant group, including seven tomato varieties resistant to bacterial wilt, from a susceptible group, including two susceptible to the same disease. In total, 5259 non-synonymous SNPs were found between the two groups. Among them, only 265 SNPs were located in the coding DNA sequences, and the majority of these SNPs were located on chromosomes 6 and 12. The genes that both carry SNP(s) and are near Bwr-6 and Bwr-12 were selected. In particular, four genes in chromosome 12 encode putative leucine-rich repeat (LRR) receptor-like proteins. SNPs within these four genes were used to develop SNP markers, and each SNP marker was validated by a high-resolution melting method. Consequently, one SNP marker, including a functional SNP in a gene, Solyc12g009690.1, could efficiently distinguish tomato varieties resistant to bacterial wilt from susceptible varieties. These results indicate that Solyc12g009690.1, the gene encoding a putative LRR receptor-like protein, might be tightly linked to Bwr-12, and the SNP marker developed in this study will be useful for selection of tomato cultivars resistant to bacterial wilt.

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Year:  2018        PMID: 29352323     DOI: 10.1007/s00122-018-3054-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  30 in total

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