Phylogeography of Prunus armeniaca L. revealed by chloroplast DNA and nuclear ribosomal sequences

Author:

Li Wen-Wen,Liu Li-Qiang,Zhang Qiu-Ping,Zhou Wei-Quan,Fan Guo-Quan,Liao Kang

Abstract

AbstractTo clarify the phytogeography of Prunus armeniaca L., two chloroplast DNA fragments (trnL-trnF and ycf1) and the nuclear ribosomal DNA internal transcribed spacer (ITS) were employed to assess genetic variation across 12 P. armeniaca populations. The results of cpDNA and ITS sequence data analysis showed a high the level of genetic diversity (cpDNA: HT = 0.499; ITS: HT = 0.876) and a low level of genetic differentiation (cpDNA: FST = 0.1628; ITS: FST = 0.0297) in P. armeniaca. Analysis of molecular variance (AMOVA) revealed that most of the genetic variation in P. armeniaca occurred among individuals within populations. The value of interpopulation differentiation (NST) was significantly higher than the number of substitution types (GST), indicating genealogical structure in P. armeniaca. P. armeniaca shared genotypes with related species and may be associated with them through continuous and extensive gene flow. The haplotypes/genotypes of cultivated apricot populations in Xinjiang, North China, and foreign apricot populations were mixed with large numbers of haplotypes/genotypes of wild apricot populations from the Ili River Valley. The wild apricot populations in the Ili River Valley contained the ancestral haplotypes/genotypes with the highest genetic diversity and were located in an area considered a potential glacial refugium for P. armeniaca. Since population expansion occurred 16.53 kyr ago, the area has provided a suitable climate for the population and protected the genetic diversity of P. armeniaca.

Funder

Xinjiang Agricultural University Crop science postdoctoral research station

Project funded by China Postdoctoral Science Foundation

National Key Research and Development Program of China

Xinjiang Uygur Autonomous Region Horticulture Key Discipline Fund

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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