Literature DB >> 23338476

S genotyping in Japanese plum and sweet cherry by allele-specific hybridization using streptavidin-coated magnetic beads.

Chun-Lei Wang1, Zhi-Ping Zhang, Kaoru Tonosaki, Hiroyasu Kitashiba, Takeshi Nishio.   

Abstract

KEY MESSAGE: We report a rapid and reliable method for S genotyping of Rosaceae fruit trees, which would to be useful for successful planting of cross-compatible cultivars in orchards. Japanese plum (Prunus salicina) and sweet cherry (Prunus avium), belonging to the family Rosaceae, possess gametophytic self-incompatibility controlled by a single polymorphic locus containing at least two linked genes, S-RNase and SFB (S-haplotype-specific F-box gene). For successful planting of cross-compatible cultivars of Rosaceae fruit trees in commercial orchards, it is necessary to obtain information on S genotypes of cultivars. Recently, a method of dot-blot analysis utilizing allele-specific oligonucleotides having sequences of SFB-HVa region has been developed for identification of S haplotypes in Japanese plum and sweet cherry. However, dot-blot hybridization requires considerable time and skill for analysis even of a small number of plant samples. Thus, a quick and efficient method for S genotyping was developed in this study. In this method, instead of a nylon membrane used for dot-blot hybridization, streptavidin-coated magnetic beads are used to immobilize PCR products, which are hybridized with allele-specific oligonucleotide probes. Our improved method allowed us to identify 10 S haplotypes (S-a, S-b, S-c, S-d, S-e, S-f, S-h, S-k, S-7 and S-10) of 13 Japanese plum cultivars and 10 S haplotypes (S-1, S-2, S-3, S-4, S-4', S-5, S-6, S-7, S-9 and S-16) of 13 sweet cherry cultivars utilizing SFB or S-RNase gene polymorphism. This method would be suitable for identification of S genotypes of a small number of plant samples.

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Year:  2013        PMID: 23338476     DOI: 10.1007/s00299-013-1388-3

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  24 in total

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