水生生物学报2018，Vol.42Issue(4)：681-689,9.DOI:10.7541/2018.084
泥蚶G2代快速生长家系遗传结构的微卫星分析及其与生长性状的关联
MICROSATELLITE ANALYSIS OF GENETIC VARIATION IN THE FAST GROWTH FAMILIES OF THE 2nd GENERATION OF TEGILLARCA GRANOSA AND CORRELATION WITH GROWTH TRAITS
摘要
Abstract
In this study, microsatellite markers were used to assess the genetic structure and genetic diversity of the second generation of Tegillarca granosa. In addition, the correlation of these markers with growth-related traits was as-sessed to explore their potential use for marker-assisted breeding. Genome-wide identification and structural analysis herein led to detect 59 alleles through 18 pairs of primers. Among these, the average values of alleles (Na) in the fami-lies of F19, F21, and F22 were 2.500, 2.722, and 2.722, respectively. The average observed heterozygosity (Ho) was 0.446, 0.510, and 0.628; the average expected heterozygosity (He) was 0.394, 0.433, and 0.464, respectively. In addi-tion, the corresponding values of polymorphism information content (PIC) were 0.346, 0.379, and 0.403, respectively. Correlation analyses of these polymorphic markers and growth traits revealed significant association of three loci with shell height, shell length, shell width, and total weight. Specifically, genotype BB of Teg-30 in F19 was remarkably as-sociated with shell height and total weight, while genotype BB of Teg-03 and genotype BC of Teg-20 in F21 showed a significant correlation with the shell height, shell length, shell width, and total weight. As a result, the growth-related markers, identified in the present study, may provide precious genetic information and novel insights for molecular marker-assisted breeding of T. granosa.关键词
泥蚶/生长性状/微卫星标记/遗传多样性/关联分析Key words
Tegillarca granosa/Growth traits/Microsatellite markers/Genetic diversity/Correlation analysis分类
生物科学引用本文复制引用
滕爽爽,方军,邵艳卿,林兴管,柴雪良,肖国强..泥蚶G2代快速生长家系遗传结构的微卫星分析及其与生长性状的关联[J].水生生物学报,2018,42(4):681-689,9.基金项目
现代农业产业技术体系建设专项资金(CARS-47) （CARS-47）
温州市种子种苗科技创新专项(N20120017) （N20120017）
浙江省科技计划项目(2017F30042, 2018F10015)资助 [Supported by the Earmarked Fund for Modern Argo-Industry Technology Research System (CARS-47) （2017F30042, 2018F10015）
Seed Science and Technology Innovation Project of Wenzhou City (N20120017) （N20120017）
Science and Technology Planning Project of Zhejiang Province (2017F30042, 2018F10015)] （2017F30042, 2018F10015）
