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국내 블루베리 품종식별을 위한 SSR 프로파일 데이터베이스 구축

nstruction of SSR Profile Database for Variety Identification of Blueberry in Korea

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주제분류농학

초록

Blueberry (Vaccinium spp.) is a member of Ericaceae and the recent important small fruit crop. This study was toconstruct a DNA marker database for blueberry varieties in Korea using simple sequence repeat (SSR) markers. A set of 49 SSRprimer pairs was tested to select polymorphic SSR marker in 6 varieties. With 49 primer pairs, seventeen primer pairs showedpolymorphism, reproducibility and band clearance. The genetic relationship among 34 varieties by using 17 SSR markers wasanalyzed. A total of 115 polymorphic amplified fragments were obtained by 17 SSR markers. Two to fifteen SSR alleles weredetected for each locus with an average of 6.8 alleles per locus. Average polymorphism information content (PIC) was 0.671,ranging from 0.248 to 0.888. A total of 115 SSR marker loci were used to calculate Jaccard’s distance coefficients for clusteranalysis by unweighted pair-group method with arithmetical average (UPGMA). Genetic distance ranged from 0.31 to 0.81 in34 varieties and the dendrogram at a similarity 0.40 gave 3 main clusters according to blueberry species. Totally 34 varietieswere identified by 17 SSR markers. Out of 17 SSR markers, a set of 3 minimum SSR markers was also enabled the identificationof 34 varieties. Hence, we concluded that these SSR markers will be available for identifying blueberry varieties and alternativechoice to distinctness, uniformity, stability (DUS) examination in blueberry along with valid phenotypic data.

Abstract

Blueberry (Vaccinium spp.) is a member of Ericaceae and the recent important small fruit crop. This study was toconstruct a DNA marker database for blueberry varieties in Korea using simple sequence repeat (SSR) markers. A set of 49 SSRprimer pairs was tested to select polymorphic SSR marker in 6 varieties. With 49 primer pairs, seventeen primer pairs showedpolymorphism, reproducibility and band clearance. The genetic relationship among 34 varieties by using 17 SSR markers wasanalyzed. A total of 115 polymorphic amplified fragments were obtained by 17 SSR markers. Two to fifteen SSR alleles weredetected for each locus with an average of 6.8 alleles per locus. Average polymorphism information content (PIC) was 0.671,ranging from 0.248 to 0.888. A total of 115 SSR marker loci were used to calculate Jaccard’s distance coefficients for clusteranalysis by unweighted pair-group method with arithmetical average (UPGMA). Genetic distance ranged from 0.31 to 0.81 in34 varieties and the dendrogram at a similarity 0.40 gave 3 main clusters according to blueberry species. Totally 34 varietieswere identified by 17 SSR markers. Out of 17 SSR markers, a set of 3 minimum SSR markers was also enabled the identificationof 34 varieties. Hence, we concluded that these SSR markers will be available for identifying blueberry varieties and alternativechoice to distinctness, uniformity, stability (DUS) examination in blueberry along with valid phenotypic data.

참고문헌 (24)

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