文献类型：期刊文献

英文题名：Association Genetics Identifies Single Nucleotide Polymorphisms Related to Kernel Oil Content and Quality in Camellia oleifera

作者：Lin, Ping[1,2] Yin, Hengfu[1,2] Yan, Chao[1,2,3] Yao, Xiaohua[1,2] Wang, Kailiang[1,2]

第一作者：林萍

通信作者：Lin, Ping|[a00054dd62ac89c70ec8d]林萍;

机构：[1] State Key Laboratory of Tree Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China; [2] Key Laboratory of Forest Genetics and Breeding, Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, 311400, China; [3] Experimental Center for Subtropical Forestry, Chinese Academy of Forestry, Fenyi, 336600, China

年份：2019

卷号：67

期号：9

起止页码：2547-2562

外文期刊名：Journal of Agricultural and Food Chemistry

收录：EI(收录号：20191006593786);Scopus(收录号：2-s2.0-85062354948)

语种：英文

外文关键词：Oils and fats - Unsaturated fatty acids - Nucleotides

摘要：Camellia oleifera, as an important nonwood tree species for seed oil in China, has received enormous attention owing to its high unsaturated fatty acid contents benefited to human health. It is necessary to examine allelic diversity of key genes that are associated with oil production in C. oleifera cultivars with a large variation of fatty acid compositions. In this study, we performed the association analysis between four key genes (two CoSAD and two Cofad2) coding fatty acid desaturases and traits including oil content and fatty acid composition. We identified two single nucleotide insertion-deletion (InDel) and 362 single-nucleotide polymorphisms (SNPs) within the four candidate genes by sequencing an association population (216 accessions). Single-marker (or haplotype) and traits association tests were conducted by linkage disequilibrium (LD) approaches to detect significant marker-trait associations. Validation population (279 hybrid individuals from six full-sibs families) studies were performed to validate the function of allelic variations significantly associated. In all, 90 single marker-trait and one haplotype-trait associations were significant in association population, and these loci explained 1.87-17.93% proportion of the corresponding phenotypic variance. Further, six SNP marker-trait associations (Q ? 2019 American Chemical Society.