Genetic diversity and population structure analysis in a large collection of Vicia amoena in China with newly developed SSR markers

BMC Plant Biol. 2021 Nov 20;21(1):544. doi: 10.1186/s12870-021-03330-w.

Abstract

Vicia amoena is a high-nutritional quality forage similar to alfalfa. However, studies on the genetic background of V. amoena are scarce. In the present study, the genetic variation of 24 V. amoena populations was assessed with newly developed simple sequence repeat (SSR) markers. A total of 8799 SSRs were identified in the V. amoena genomic-enriched sequences, and the most abundant repeat number was four. A total of 569 sampled individuals were assayed to evaluate the genetic diversity of the V. amoena populations based on 21 polymorphic SSR primers. The polymorphism information content (PIC) ranged from 0.896 to 0.968, with an average of 0.931, which indicated that the markers were highly informative. Based on analysis of molecular variance, 88% of the variance occurred within populations, and the remaining 12% of the variance occurred among populations. The high degree of gene flow (Nm= 4.958) also showed slight differentiation among the V. amoena populations. The V. amoena populations were mainly clustered by steppe and mountain habitats based on principal coordinate analysis (PCoA) and STRUCTURE analysis. This indicated that the elevation and special habitat of geographical origins may be important factors affecting the clustered pattern of V. amoena populations. Neighbour-joining (NJ) analysis did not separate the populations well by geographical origin, which indicated that the genetic structure of V. amoena was complex and needs further study. Overall, our results showed that the newly developed SSR markers could benefit the V. amoena research community by providing genetic background information to help establish a foundation for breeding improvement and germplasm resource conservation.

Keywords: SSR development; Vicia amoena; genetic variation; population structure.

MeSH terms

  • China
  • Crops, Agricultural / genetics
  • Ecosystem
  • Genetic Markers*
  • Genomics*
  • Genotype
  • Geography
  • Microsatellite Repeats*
  • Phylogeny
  • Polymorphism, Genetic*
  • Vicia / genetics*

Substances

  • Genetic Markers