Determination of the genetic diversity of vegetable soybean [Glycine max (L.) Merr.] using EST-SSR markers

J Zhejiang Univ Sci B. 2013 Apr;14(4):279-88. doi: 10.1631/jzus.B1200243.

Abstract

The development of expressed sequence tag-derived simple sequence repeats (EST-SSRs) provided a useful tool for investigating plant genetic diversity. In the present study, 22 polymorphic EST-SSRs from grain soybean were identified and used to assess the genetic diversity in 48 vegetable soybean accessions. Among the 22 EST-SSR loci, tri-nucleotides were the most abundant repeats, accounting for 50.00% of the total motifs. GAA was the most common motif among tri-nucleotide repeats, with a frequency of 18.18%. Polymorphic analysis identified a total of 71 alleles, with an average of 3.23 per locus. The polymorphism information content (PIC) values ranged from 0.144 to 0.630, with a mean of 0.386. Observed heterozygosity (Ho) values varied from 0.0196 to 1.0000, with an average of 0.6092, while the expected heterozygosity (He) values ranged from 0.1502 to 0.6840, with a mean value of 0.4616. Principal coordinate analysis and phylogenetic tree analysis indicated that the accessions could be assigned to different groups based to a large extent on their geographic distribution, and most accessions from China were clustered into the same groups. These results suggest that Chinese vegetable soybean accessions have a narrow genetic base. The results of this study indicate that EST-SSRs from grain soybean have high transferability to vegetable soybean, and that these new markers would be helpful in taxonomy, molecular breeding, and comparative mapping studies of vegetable soybean in the future.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Expressed Sequence Tags*
  • Genetic Markers / genetics*
  • Genetic Variation / genetics*
  • Glycine max / classification
  • Glycine max / genetics*
  • Microsatellite Repeats / genetics*
  • Polymorphism, Single Nucleotide / genetics*
  • Vegetables / genetics*

Substances

  • Genetic Markers