Integration of molecular and geographical data analysis of Iranian Prunus scoparia populations in order to assess genetic diversity and conservation planning

Abstract

Evaluation of spatial and non-spatial distribution is of great importance for protection of plant’s genetic resources. Prunus scoparia, a wild almond species, is an important economically and ecologically food resource plant in Iran with specific characteristics such as self-compatibility, resistant to drought and fungus, bitterness as well as small nuts. This wild species can provide an enlarged gene pool and may be considered as a valuable germplasm source for breeding the cultivated almond. In this study, the conservation planning and genetic variation of 158 Prunus scoparia accessions was investigated with the aid of 36 SSR markers to reveal genetic distinctness and structure. The molecular markers studied showed quite high level of genetic diversity on the basis of Na = 6.47, Ho = 0.603 and He = 0.737. The result of Neighbor net analysis was not in parallel with STRUCTURE data as classified samples into two and 12 main groups, respectively. On the other hand, the results of GENELAND analysis ensured the population classification and the genetic relatedness between populations from STRUCTURE analysis due to use of geographical data. All samples were grouped based on their geographical location. Moreover, utilization of GIS data accompanied by appropriate number of SSR markers could provide the possibility of prioritizing of distribution regions in natural and unnatural environments. The species distribution modeling would also help gain comprehensive information on conservation strategies of this wild almond species.