Mining new microsatellite markers for Siberian apricot (Prunus sibirica L.) from SSR-enriched genomic library

Zhe Wang, Huabo Liu, Jun Liu, Yingyue Li, Rongling Wu, Xiaoming Pang

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Siberian apricot (Prunus sibirica L.) is a multipurpose tree species of great economic and ecological importance. It displays abundant natural variation which provides a fuel for it to adapt to various environments. The development of polymorphic markers has become increasingly essential for quantifying the genetic diversity of this species and charactering quantitative trait loci (QTLs) that control complex traits. SSR markers are the most suitable molecular markers owning to their desirable genetic attributes. However, the number of SSR makers developed for Siberian apricot is limited. Thus in this report, using magnetic beads enrichment protocol, we obtained 143 unique sequences from two GA-enriched genomic libraries with two blunt end-cutting restriction enzymes (AluI, HaeIII) and successfully developed 52 primer pairs. Among them, 46 loci showed polymorphism in eight P. sibirica accessions and the number of alleles obtained ranged from 2 to 12 with an average of 6.20. The polymorphism information content (PIC) for the polymorphic SSRs ranged from 0.11 to 0.90 with an average of 0.62. The present study provides valuable tools for genetic studies in Siberian apricot and related species, such as population genetics, germplasm identification, QTL mapping and marker assisted selection.

Original languageEnglish (US)
Pages (from-to)65-69
Number of pages5
JournalScientia Horticulturae
Volume166
DOIs
StatePublished - Feb 13 2014

All Science Journal Classification (ASJC) codes

  • Horticulture

Fingerprint Dive into the research topics of 'Mining new microsatellite markers for Siberian apricot (Prunus sibirica L.) from SSR-enriched genomic library'. Together they form a unique fingerprint.

  • Cite this