生物
基因分型
SNP基因分型
遗传学
种质资源
数量性状位点
SNP公司
单核苷酸多态性
分子反转探针
分子育种
遗传多样性
SNP阵列
人口
基因型
计算生物学
基因
农学
社会学
人口学
作者
Chaewon Lee,Kyeong-Seong Cheon,Yunji Shin,Hyoja Oh,Young‐Min Jeong,Hoon Jang,Yongchan Park,Kyung-Yun Kim,Hang-Chul Cho,Yong-Jae Won,Jeongho Baek,Young-Soon Cha,Song-Lim Kim,Kyung-Hwan Kim,Hyeonso Ji
出处
期刊:Genes
[MDPI AG]
日期:2022-04-28
卷期号:13 (5): 794-794
被引量:22
标识
DOI:10.3390/genes13050794
摘要
The development of efficient, robust, and high-throughput SNP genotyping platforms is pivotal for crop genetics and breeding. Recently, SNP genotyping platforms based on target capture sequencing, which is very flexible in terms of the number of SNP markers, have been developed for maize, cassava, and fava bean. We aimed to develop a target capture sequencing SNP genotyping platform for rice. A target capture sequencing panel containing 2565 SNPs, including 1225 SNPs informative for japonica and 1339 SNPs informative for indica, was developed. This platform was used in diversity analysis of 50 rice varieties. Of the 2565 SNP markers, 2341 (91.3%) produced useful polymorphic genotype data, enabling the production of a phylogenetic tree of the 50 varieties. The mean number of markers polymorphic between any two varieties was 854. The platform was used for QTL mapping of preharvest sprouting (PHS) resistance in an F8 recombinant inbred line population derived from the cross Odae × Joun. A genetic map comprising 475 markers was constructed, and two QTLs for PHS resistance were identified on chromosomes 4 and 11. This system is a powerful tool for rice genetics and breeding and will facilitate QTL studies and gene mapping, germplasm diversity analysis, and marker-assisted selection.
科研通智能强力驱动
Strongly Powered by AbleSci AI