| Abstract Detail
Population Genetics/Genomics sheidaei, masoud [1], kordasti, mohammadreza [1], koohdar, fahimeeh [1]. Population genetic study of Calotropis procera (Aiton) W.T.Aiton. in Iran by using SCoT molecular markers. Calotropis procera (Aiton) W.T.Aiton. (Estabragh), is a member of family Apocynaceae Juss., genus: Calotropis R.Br. It is native in range from Macaronesia, N. & Tropical Africa to Indo-China, and has a confined geographical distribution in Iran. This species has been utilized for fiber, fuel, fodder, and timber purposes. Due to socio-economic importance of this species we carried out a population genetic study of Calotropis procera for the first time in the country by using SCoT molecular markers. This investigation is based on 80 plants collected from 13 different geographical regions of Iran. In total we obtained 39 Scot bands or loci. Genetic diversity parameters were determined in these populations and AMOVA revealed a significant genetic difference among these regions. DAPC (Discriminant analysis of principal components) analysis of data obtained placed the studied plants in three genetic groups. Assignment test of these plants revealed some degree of genetic admixture among populations and as Gst value determined showed the mean Nm = 0.85. Discriminating loci were identified by DAPC. The Mantel test showed a significant positive association between genetic distance and geographical distance in the studied populations, moreover LFMM (Latent factor mixed model) as well as RDA. (Redundency analysis), revealed a significant. association between some of the SCoT loci and d geographical and ecological variables. We also tried to study association between these loci (genetic regions) with important morphological cahracters. with have. a potential effect on fibber production.
1 - Shahid Beheshti University, Botany, Faculty of Life Sciences and Biotechnology, Velenjak, Tehran, Tehran, Iran
Keywords:
Genetic diversity
Calotropis procera
DAPC
LFMM
AMOVA.
Presentation Type: Oral Paper
Number: PGG3006
Abstract ID:424
Candidate for Awards:Margaret Menzel Award |
