Su Eun Lim1, Kyu Jin Sa1, Ju Kyong Lee2. 1. Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon-si, 24341, Korea. 2. Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon-si, 24341, Korea. jukyonglee@kangwon.ac.kr.
Abstract
BACKGROUND: Bulk segregant analysis (BSA) is another method of identifying significant molecular markers linked to the target gene or region for specific traits. BSA is easier and less expensive than other methods; it does not require genetic map construction and needs fewer markers than the number needed to construct a genetic map for QTL mapping. OBJECTIVES: The purpose of our study was to identify simple sequence repeat (SSR) markers linked with leaf- and seed-related traits in Perilla crop, and to allow the selection of better accessions in Perilla breeding programs with marker-assisted selection (MAS). METHODS: The genotypes of the 25 SSR markers and phenotypic data for the eight qualitative traits were used to confirm significant marker-trait associations (SMTAs) using TASSEL software. To detect SSR markers associated with leaf color, the 16 individuals of the F3 population were divided into three bulk groups based on the colors of the surface and reverse sides of the leaf, respectively: six in the green/green group, five in the green/purple group and five in the purple/purple group. RESULTS: This study detected 18 significant marker-trait associations (SMTAs) involving 12 SSR markers associated with six agronomic traits. The SSR markers KNUPF15, KNUPF21, KNUPF29, and KNUPF60 were associated with leaf surface color, and KNUPF11, KNUPF15, KNUPF21, and KNUPF60 were associated with leaf reverse side color. In addition, five SSR markers were associated with seed-related traits. KNUPF11 and KNUPF29 were associated with seed coat color, while KNUPF29 was associated with seed size. KNUPF12, KNUPF16, and KNUPF42 were associated with seed hardness. To verify the selected significant SSR markers associated with leaf color and seed-related traits, a UPGMA dendrogram for 11 individuals in the F3 population, which formed two bulk groups consisting of 6 green/green and 5 purple/purple individuals, was constructed using six SSR marker-related LC and RLC traits. CONCLUSION: These results are very important for understanding the characteristics of Perilla leaves and seeds; they may also support opportunities to effectively preserve and utilize existing accessions and to allow Perilla breeders to improve crop quality by mean of MAS.
BACKGROUND: Bulk segregant analysis (BSA) is another method of identifying significant molecular markers linked to the target gene or region for specific traits. BSA is easier and less expensive than other methods; it does not require genetic map construction and needs fewer markers than the number needed to construct a genetic map for QTL mapping. OBJECTIVES: The purpose of our study was to identify simple sequence repeat (SSR) markers linked with leaf- and seed-related traits in Perilla crop, and to allow the selection of better accessions in Perilla breeding programs with marker-assisted selection (MAS). METHODS: The genotypes of the 25 SSR markers and phenotypic data for the eight qualitative traits were used to confirm significant marker-trait associations (SMTAs) using TASSEL software. To detect SSR markers associated with leaf color, the 16 individuals of the F3 population were divided into three bulk groups based on the colors of the surface and reverse sides of the leaf, respectively: six in the green/green group, five in the green/purple group and five in the purple/purple group. RESULTS: This study detected 18 significant marker-trait associations (SMTAs) involving 12 SSR markers associated with six agronomic traits. The SSR markers KNUPF15, KNUPF21, KNUPF29, and KNUPF60 were associated with leaf surface color, and KNUPF11, KNUPF15, KNUPF21, and KNUPF60 were associated with leaf reverse side color. In addition, five SSR markers were associated with seed-related traits. KNUPF11 and KNUPF29 were associated with seed coat color, while KNUPF29 was associated with seed size. KNUPF12, KNUPF16, and KNUPF42 were associated with seed hardness. To verify the selected significant SSR markers associated with leaf color and seed-related traits, a UPGMA dendrogram for 11 individuals in the F3 population, which formed two bulk groups consisting of 6 green/green and 5 purple/purple individuals, was constructed using six SSR marker-related LC and RLC traits. CONCLUSION: These results are very important for understanding the characteristics of Perilla leaves and seeds; they may also support opportunities to effectively preserve and utilize existing accessions and to allow Perilla breeders to improve crop quality by mean of MAS.
Entities:
Keywords:
Association analysis; Bulk segregant analysis; Perilla frutescens; SSR marker
Authors: Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler Journal: Bioinformatics Date: 2007-06-22 Impact factor: 6.937