Genetic diversity and genetic structure of Kadsura coccinea germplasm resources revealed by SSR markers
[Objective]The aims of the study are to reveal genetic diversity and genetic structure of Kadsura coccinea germplasm resources and to provide theoretical basis for their evaluation,conservation,development and utilization.[Method]17 SSR primers were employed in SSR-PCR of 70 samples and software of GenAlex v 6.502,Ntsys V 2.2,Structure 2.3.4 were used to analyze genetic diversity of the germplasm resources.[Result]A total of 147 alleles were detected with a mean value of 8.647 per locus.The average Shannon information index(I)of 17 loci was 1.421.The average of expected heterozygosity(He)was 0.648 and the average of polymorphic information content(PIC)was 0.612.MGH population showed the highest genetic diversity level among 5 populations,of which I and He were 1.070 and 0.544 respectively.The average genetic differentiation coefficient(Fst)was 0.323,indicating 32.3%of variation existed among populations.AMOVA analysis showed that the ratio of variance component among populations was 28.8%and gene flow among populations was at moderate level with Nm value of 0.876.The average of inbreeding coefficient(Fis)was 0.161(Fis＞0),which meant a stronger inbreeding in K.coccinea.Among 5 populations,only Fis of GXH was above zero.Seventy individuals were divided into 3 groups through UPGMA and STRUCTURE analysis.GroupⅠincluded individuals from MGH,group Ⅱ composed individuals from PBH and group Ⅲ composed individuals from GXH,GZH and HNH.[Conclusion]The K.coccinea germplasm resources show high genetic diversity and high genetic differentiation and low gene exchange.The genetic variation derives mainly from individuals within populations.The genetic composition for most germplasm resources is relatively simple.Therefore,in the work of resource selection and conservation,on the base of covering all populations,attention should be paid to the preservation of different types of individuals besides selection of populations with rich genetic diversity.
NETL
NSTL
万方数据
