| In order to make better comprehensive use of Chinese prickly ash(CPA)germplasm resources,clarify the genetic relationship of main cultivated CPA in each production area and accurately identify the mixed CPA,based on the research of preliminary work in our laboratory,this study used SCo T molecular markers combined with quality trait analysis the genetic diversity of 48 CPA germplasm resources(25 red CPA germplasm and 13 green CPA germplasm)from 12 provinces or municipalities directly under the central government in China.Furthermore,the specific polymorphic loci of different germplasm were explored and the potential adulterated CPA were identified,so as to provide a reference for the identification of CPA germplasm or varieties and different CPA pericarp mixture.The main results are as follows:(1)48 CPA germplasm were amplified and analyzed by 29 SCo T markers.Finally,nine markers with clear amplification bands and easy to distinguish were selected for germplasm identification.A total of 89 bands were amplified from the nine markers,of which 82 bands were polymorphic.In addition,the polymorphism rate of five markers reached 100%.The above results showed that SCo T markers had high polymorphism and were suitable for genetic difference analysis among CPA germplasm.(2)Nei’s genetic diversity index(H)of 48 CPA germplasm was 0.2671 and Shannon’s information diversity index(I)was 0.4081.Among them,the H of red CPA germplasm and green CPA germplasm were 0.2022 and 0.1063,and the I were 0.3068 and 0.1602,respectively.The genetic diversity of red CPA germplasm is higher than that of green CPA germplasm,and the genetic diversity at the species level is higher than that of the average population level.(3)The total genetic diversity(Ht),gene flow(Nm)and genetic differentiation coefficient(Gst)of the 48 CPA germplasm were 0.2693,0.6701 and 0.4273,respectively.The Nm among the CPA germplasm was not frequent and the Gst was high.The genetic similarity coefficient of red CPA and green CPA was 0.7291 and the genetic distance was 0.3160,which indicated that the genetic relationship between green CPA and red CPA was relatively far.(4)Cluster analysis based on genetic similarity coefficient(0.49)and principal component analysis based on genetic distance divided 48 CPA into two categories: red CPA group and green CPA group.Among them,when the genetic similarity coefficient is 0.72,the red CPA groups can be mainly divided into three subgroups.The first subgroups represented by the CPA from Fengxian,Wudu and Maowen,which are located in the south of Qinling Mountains-Huaihe River;the second subgroup epresented by the CPA from Hancheng and Shandong,which are located in the north of Qinling Mountains-Huaihe Riverr,and the third subgroup represented by the CPA from Hanyuan of Sichuan province.In addition,when the genetic similarity coefficient is 0.7,the green CPA germplasm can also be divided into two subgroups: the first subgroup represented by Sichuan,Chongqing,Yunnan and Jiangxi and the second subgroup represented by the CPA from Guizhou.(5)Five SCo T markers represented by SCo T29 markers were selected,which can be used for identification of different CPA pericarp mixture.Among them,SCo T29 markers can identify the mixture of Hancheng Dahongpao and Shandong Dahongpao,and the mixture of Maowen Dahongpao and Wudu Dahongpao.The mixture of Fengxian Dahongpao and Hancheng Dahongpao can be identified by SCo T31 markers.(6)Cluster analysis of 48 CPA germplasm was carried out based on the quality traits of which published by our laboratory in the early stage.The results showed that the clustering results were different from those based on SCo T molecular markers which indicated that from the perspective of identifying varieties or germplasm,it is easier to identify the source of CPA by using SCo T molecular markers than the quality traits.In addition,the green CPA germplasm were clustered into one group based on quality traits and SCo T molecular markers,indicating that their genetic and phenotypic characteristics were more stable. |