Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: A 48 SNP set for grapevine cultivar identification | Cabezas et al. BMC Plant Biology 2011 11 153 http 1471-2229 11 153 BMC Plant Biology RESEARCH ARTICLE Open Access A 48 SNP set for grapevine cultivar identification I Z X c Z X A c X l X X Í 1 6t I zl X K I I X X Z X z2t I I I Z X 1 X z1 7 Ch Z X I Z X i i X I X 73 f ĩ V x -X D Z X 1 l v I I -X D Z X 4 KI z i I I Z X ĩ1 José A Cabezas Javier Ibdnez Diego Lijavetzky Dolores Vélez uemd Bravo Virginia Rodríguez Iván Carreno4 Angelica M JermaKow5 Juan Carreno4 Leonor Ruiz-Garcia4 Mark R Thomas5 and José M Martinez-Zapater1 2 Abstract Background Rapid and consistent genotyping is an important requirement for cultivar identification in many crop species. Among them grapevine cultivars have been the subject of multiple studies given the large number of synonyms and homonyms generated during many centuries of vegetative multiplication and exchange. Simple sequence repeat SSR markers have been preferred until now because of their high level of polymorphism their codominant nature and their high profile repeatability. However the rapid application of partial or complete genome sequencing approaches is identifying thousands of single nucleotide polymorphisms SNP that can be very useful for such purposes. Although SNP markers are bi-allelic and therefore not as polymorphic as microsatellites the high number of loci that can be multiplexed and the possibilities of automation as well as their highly repeatable results under any analytical procedure make them the future markers of choice for any type of genetic identification. Results We analyzed over 300 SNP in the genome of grapevine using a re-sequencing strategy in a selection of 11 genotypes. Among the identified polymorphisms we selected 48 SNP spread across all grapevine chromosomes with allele frequencies balanced enough as to provide sufficient information content for genetic identification in grapevine allowing for good genotyping success rate. Marker stability was tested in repeated analyses of a