Korean Journal of Breeding Science

"Simple sequence repeat"

Articles

Multiplex STS-SSR 마커를 활용한 국산밀 품종 판별 Identification of Korean Wheat Cultivars Using Multiplex STS-SSR Markers: Ri Choi, Jin-Hee Yu, Su-Min Hong, Kyung-Min Kim, Han-Yong Jung, Youngjun Mo, Chul Soo Park; Korean. J. Breed. Sci. 2022;54(2):119-129.
Published online June 1, 2022; DOI: https://doi.org/10.9787/KJBS.2022.54.2.119

Abstract
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This study aimed to develop an agarose gel-based multiplex PCR assay using sequence-tagged site (STS) and simple sequence repeat (SSR) markers that can differentiate Korean wheat cultivars. Forty-nine Korean wheat cultivars were primarily classified based on seed coat color into red (36) and white (13) groups. Red wheat cultivars were further differentiated by three multiplex PCRs using molecular markers for Ppo-A1/Vrn-D1a/Rht-B1b, Glu-A3ac/TaCwi-A1b/Lr34, and Glu-A1ac/Glu-B1b/KWSM003/TaSE96. Similarly, white wheat cultivars were further differentiated using two multiplex PCRs using the molecular markers for Ppo-A1/Vrn-D1a/Pina-D1a and Ppo-B1/Glu-B3h. A multiplex PCR assay using molecular markers for Glu-A1b/Glu-D1d/Wx-B1 was developed to differentiate four Korean wheat cultivars used as government certified seeds: Baekkang, Hwanggeumal, Keumkang, and Saekeumkang. A multiplex PCR assay using molecular markers for Glu-B3h and Pin-D1a was used for colored wheat cultivars, Arijinheuk, Ariheuk, and Chinese colored wheat. The multiplex PCR assays developed in this study can provide useful molecular tools for differentiating Korean wheat cultivars, developing wheat seed management systems, and guaranteeing wheat seeds in Korea.

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Genetic Diversity of Wild Pear Accessions Collected in Korea: Moon-Sup Kim1, Sea-Hyun Kim1, Jin-Gyu Han1, Jeong-Ho Song1, Hyeu-Soo Kim1, Do-Hoon Kim2, and Yong-Sham Kwon2*; Korean. J. Breed. Sci. ;47(1):45-53. Published online March 31, 2015; DOI: https://doi.org/10.9787/KJBS.2015.47.1.045

Abstract
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The
objective
of this study was carried out to assess genetic diversity of Korean local accessions of wild pear using morphological traits and microsatellite markers. Assessment of 14 phenotypic traits showed high variation among wild pear accessions. These parameters were not applicable genetic diversity analysis of wild pear collection due to quantitatively inherit and their expression is affected by environmental factors. Microsatellite markers were used to evaluate the genetic similarity of 62 accessions. Among 50 tested SSR markers, 16 primer pairs were selected to profile genetic diversity on the basis of high level polymorphism. These microsatellite markers showed 1 or 2 discrete amplified fragment for all of the accessions. The sixteen microsatellite loci amplified 278 alleles, with 10 to 27 alleles (average 17.385) per locus. The mean of observed heterozygosity and polymorphism information content were 0.776 and 0.836, respectively. The Jaccard’s similarity coefficient ranged from 0.09 to 1.00. Two major groups were produced from all the accessions by UPGMA cluster analysis. Fifty five accessions could be discriminated except for 2 pairs. These results would be provided useful information about valuable genetic resources though assessment of genetic diversity and relationship in local pear accessions.