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Genetic mapping of quantitative trait loci controlling seed weight in an interspecific soybean recombinant inbred line population

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  • URLhttps://db.koreascholar.com/Article/Detail/302882
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한국육종학회 (The Korean Breeding Society)
초록

Seed weight (SW), often expressed as 100-seed weight (HSW), is an important yield component in soybean and has been found to show positive correlation with seed yield. It is shown to behave as a quantitative trait controlled by many loci that are largely unclear. In this study, we represent the identification of chromosomal regions controlling the seed weight in soybean. We used a Recombinant Inbred Line (RIL) population, consisting of 188 lines derived from a cross of a wild soybean PI483463 (HSW: 0.85g) and a cultivated soybean cultivar Hutcheson (HSW: 14.05g) to identify the chromosomal regions controlling the SW trait. The population, along with parental samples and check, William82 (HSW: 21.2g) was grown for four years and phenotype data was recorded postharvest. A total of 535 SNP and 16 SSR markers, polymorphic between the parents were employed to genotype the RILs using Golden gate assay to develop the linkage map. Whole genome QTL scanning identified a total of 17 QTLs, spanning 10 chromosomes for the 100-seed weight. All these QTLs explained phenotypic variation (PV) in the range of 3.77 to 12.33%. Of the 17 QTLs, 2 QTLs qSWA1-1 and qSWD2-1, found to be the consistent QTLs, expressing in all the four environments. The QTL qSWD2-1 explained highest contribution to the total PV with 10.04 -12.23 %. The remaining 15 QTLs were identified in at least one environment with PV ranging up to 10.39%. The findings from this study will provide useful information to understand the genetic and molecular basis of SW and facilitate further genomic research leading to the yield improvements in soybean.

저자
  • Krishnanand P Kulkarni(School of Applied Biosciences, Kyungpook National University)
  • Minsu Kim(School of Applied Biosciences, Kyungpook National University)
  • Jeong Hwa Kim(School of Applied Biosciences, Kyungpook National University)
  • Sovetgul Asekova(School of Applied Biosciences, Kyungpook National University)
  • Jong Tae Song(School of Applied Biosciences, Kyungpook National University)
  • Jeong-Dong Lee(School of Applied Biosciences, Kyungpook National University)