Construction Of Tartary Buckwheat High-density Genetic Map With SNP Markers And QTL Analysis For Important Agronomic Traits

Tartary buckwheat [Fagopyrum tataricum(L.) Gaertn] is traditionally cultivated crop for edible and medicinal utilization in china. Main bioactive phytochemicals flavonoids were rich in its seed than other crops, which can reduce the blood cholesterol, regulating the blood sugar, blood lipid and blood pressure in human body. It attracts more and more attentions in the food industry. The yield of tartary buckwheat is not high. Most important quality traits are complex quantitative traits, and affected by both minor genes and environment. Therefore, the genetic improvement of tartary buckwheat is very difficult, and the efficiency of conventional breeding methods is very low, and has a long breeding cycle. Constructing of genetic linkage map of tartary buckwheat will be useful for both targeting excellent genes of important agronomic traits and achieving marker assisted selection breeding.In this study, an F3 population was constructed by crossing small rice tartary buckwheat “xiaomiqiao” and the common tartary buckwheat “Jinqiao 2”. 200 lines of F3 population were executed by restriction-site-associated DNA sequencing(RAD-seq) to develop SNP markers and constructed genetic map. The main results are as follows:1. DNA sequencing and SNP markers: The tartary buckwheat parents and 200 F3 populations were sequenced by RAD sequencing technology. On the basis of bioinformatics analysis, there were 3614 SNPs detected. After filtering the segregation markers by Chi – Square test among them, there are 1179 markers with the highly credibility.2. Construction of genetic map: The genetic map consists 974 SNP markers in 10 linkage group with a total length of 1095.88 c M and an average interval of 0.89 c M.3. QTL analysis of three important traits: A total of 27 QTLs were detected by QTL Ici Mapping software. There were two QTLs for plant height found in the Linkage Groups 1 and 7, accounting for 12.56% to 17.14% of the phenotypic variations. Four QTLs for the hundred-grain weight on the Linkage Groups 1 and 2 were detected, accounting for 9.09% to 24.52% of the phenotypic variations. Twenty-one QTLs for the plant yield on the Linkage Groups were detected, accounting for 35.40% to 48.50% of the phenotypic variations.