Korean Journal of Plant Resources (한국자원식물학회지)

The Plant Resources Society of Korea (한국자원식물학회)
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Assessment of Genetic Diversity and Population Structure on Kenyan Sunflower (Helianthus annus L.) Breeding Lines by SSR Markers

  • Mwangi, Esther W. (Food Crops Research Institute, Kenya Agricultural & Livestock Research Organization) ;
  • Marzougui, Salem (Institution de la Recherche et de l'Enseignement Superieur Agricoles, National Agricultural Research Institute, Compexe Universitaire) ;
  • Sung, Jung Suk (National Agrobiodiversity Center, National Institute of Agricultural Sciences RDA) ;
  • Bwalya, Ernest C. (Zambia Agricultural Research Institute) ;
  • Choi, Yu-Mi (National Agrobiodiversity Center, National Institute of Agricultural Sciences RDA) ;
  • Lee, Myung-Chul (National Agrobiodiversity Center, National Institute of Agricultural Sciences RDA)
  • Received : 2019.06.07
  • Accepted : 2019.06.21
  • Published : 2019.06.30
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Abstract

In crop breeding program, information about genetic dissimilarity on breeding resources is very important to corroborate genealogical relationships and to predict the most heterozygotic hybrid combinations and inbred breeding. This study aimed to evaluate the genetic variation in Kenyan sunflower breeding lines based on simple sequence repeat (SSR). A total of 83 alleles were detected at 32 SSR loci. The allele number per locus ranged from 2 to 7 with an average of 2.7 alleles per locus detected from the 24 sunflower accessions and the average value of polymorphic information contents (PIC) were 0.384. A cluster analysis based on the genetic similarity coefficients was conducted and the 24 sunflower breeding resources were classified into three groups. The principal coordinates (PCoA) revealed 34% and 13.38% respectively, and 47.38% of total variation. It was found that the genetic diversity within the Kenyan sunflower breeding resources was narrower than that in other sunflower germplasm resources, suggesting the importance and feasibility of introducing elite genotypes from different origins for selection of breeding lines with broader genetic base in Kenyan sunflower breeding program.

Keywords

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Fig. 1. Amplicons of 24 sunflower accessions using HA3239 and HT0271 primers by Fragment AnalyzerTM 96-capillaryAutomated CE System. M: size markers of 500bp and 35bp, Lanes 1-24, 25-48: The name of accessions as listed in Table 1.

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Fig. 2. Unweighted neighbor-joining dendrogram showing genetic relationship among the 24 sunflower accessions based on the genetic dissimilarity matrix data of SSR markers alleles. All the accessions were divided into three clusters.

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Fig. 3. Population structure of 24 accessions of sunflower based on 34 SSR-markers. (A) Structure analysis (STRUCTURE K =3) distributed the population into groups according to the clusters obtained by the UNJ analysis. Numbers in the ‘y’ axis show the subgroup membership and the groups are represented by different colors. (B) Average log-likelihood values (mean lnP (D) for 3 iterations) and ad-hoc statistic Δk for K values ranging from 1 to 10.

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Fig. 4. Principal coordinates analysis (PCoA) of 24 sunflower accessions. Coord. 1 (34%) and Coord. 2 (13.38%) refer to the first and second principal component, respectively.

Table 1. A List of 24 sunflower inbred lines, restorer and Maintainers genotypes used in this study

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Table 2. Information of 32 SSR primers used for analysis of 24 genotypes in this study

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