基于SLAF-seq技术的紫苏产量相关性状关联分析及优异等位变异挖掘

Perilla L. is one of the 60 kinds of food-and-drug traditional Chinese medicines issued by the Ministry of Health for the first batch, having unique medicinal and food value, playing an important role in the pharmaceutical, food, industrial and other fields. Its value is several times and even dozens of times of ordinary food oil, health care products and drugs. This study takes the Perilla L. landrace population obtained from Perilla L. planting fields in China as the research object, and obtains the molecular marker information based on reduced-representation sequencing and bioinformatics analysis using SLAF-seq technology. Seed yield per plant, 1000 seed yield, grain number and total spik for each cultivar will be measured at the test base of Guizhou Academy of Agricultural Sciences In 2016 to 2018 so that their phenotypic observations will be obtained. The above phenotypic observations for each trait, along with the above molecular marker information, in the experimented cultivars will be used to carry out association analysis using mixed linear model and epistatic association mapping approaches. This project aims to detect main-effect QTL, QTL-by-environment interactions and QTL-by-QTL interactions of yield related traits in Perilla L., and to mine novel alleles for each agronomic trait and their corresponding accessions, so as to provide theoretical and technical foundation for Perilla L. molecular marker-assisted selection, molecular design breeding and development and utilization of Perilla L. germplasm resources.

紫苏是国家卫生部首批颁布的药食兼用的60种中药之一，具有独特的药用价值和食用价值，在医药、食品、工业等领域同时发挥着重要的作用，其价值是一般食物油、保健品、药品的数倍乃至几十倍。本项目以从全国各紫苏种植区搜集得到的紫苏地方品种群体为研究对象，采用SLAF-seq技术进行简化基因组测序和生物信息学分析以获得分子标记信息，2016年至2018年在贵州省农科院试验基地对供试群体单株籽粒重、千粒重、穗粒数和总穗数进行表型鉴定以获得数量性状表型观测值，然后利用混合线性模型和上位性关联分析实施产量相关性状表型与SNP标记基因型间的关联分析。本项目旨在检测紫苏产量相关性状的主效QTL、环境互作和QTL间互作，发掘出表现稳定QTL的优异等位基因及相应的载体材料，为紫苏分子标记辅助选择、分子设计育种以及紫苏种质资源的开发利用提供理论和技术基础。

紫苏是国家卫生部首批颁布的药食兼用的60种中药之一，具有独特的药用价值和食用价值，在医药、食品、工业等领域同时发挥着重要的作用，其价值是一般食物油、保健品、药品的数倍乃至几十倍。本项目以从全国各紫苏种植区搜集得到的200余份紫苏地方品种群体为研究对象，采用SLAF-seq技术进行简化基因组测序和生物信息学分析以获得分子标记信息，2016年至2018年在贵州省农科院试验基地对供试群体单株籽粒重、千粒重、穗粒数和总穗数进行表型鉴定以获得数量性状表型观测值，然后利用混合线性模型和上位性关联分析实施产量相关性状表型与SNP标记基因型间的关联分析。通过研究，最后检测到与单株籽粒重、千粒重、穗粒数和总穗数等紫苏重要性状关联稳定表达的主效QTL21个。为紫苏分子标记辅助选择、分子设计育种以及紫苏种质资源的开发利用提供理论和技术基础。