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Molecular Breeding

, 36:103 | Cite as

Genetic analysis of shoot fresh weight in a cross of wild (G. soja) and cultivated (G. max) soybean

  • Sovetgul Asekova
  • Krishnanand P. Kulkarni
  • Gunvant Patil
  • Minsu Kim
  • Jong Tae Song
  • Henry T. Nguyen
  • J. Grover Shannon
  • Jeong-Dong LeeEmail author
Article

Abstract

Shoot fresh weight (SFW) is one of the parameters, used to estimate the total plant biomass yield in soybean. In the present study, a total of 188 F5:8 recombinant inbred lines (RIL) derived from an interspecific cross of PI 483463 (Glycine soja) and Hutcheson (Glycine max) were investigated for SFW variation in the field for three consecutive years. The parental lines and RILs were phenotyped in the field at the R6 stage by measuring total biomass in kg/plot to identify the QTLs for SFW. Three QTLs qSFW6_1, qSFW15_1, and qSFW19_1 influencing SFW were identified on chromosome 6, 15, and 19, respectively. The QTL qSFW19_1 flanked between the markers BARC-044913-08839 and BARC-029975-06765 was the stable QTL expressed in all the three environments. The phenotypic variation explained by the QTLs across all environments ranged from 6.56 to 21.32 %. The additive effects indicated contribution of alleles from both the parents and additive × environment interaction effects affected the expression of SFW QTL. Screening of the RIL population with additional SSRs from the qSFW19_1 region delimited the QTL between the markers SSR19-1329 and BARC-29975-06765. QTL mapping using bin map detected two QTLs, qSFW19_1A and qSFW19_1B. The QTL qSFW19_1A mapped close to the Dt1 gene locus, which affects stem termination, plant height, and floral initiation in soybean. Potential candidate genes for SFW were pinpointed, and sequence variations within their sequences were detected using high-quality whole-genome resequencing data. The findings in this study could be useful for understanding genetic basis of SFW in soybean.

Keywords

Soybean Wild soybean Forage Shoot fresh weight Candidate gene 

Notes

Acknowledgments

This work was carried out with the support of the Next-Generation BioGreen 21 Program for Agriculture and Technology Development (Project No. PJ1109201), Rural Development Administration, Republic of Korea.

Authors' contributions

S Asekova, M. Kim performed field experiment, S. Asekova, K.P. Kulkarni, and G. Patil performed QTL mapping, genotyping, and genetic analysis, S. Asekova and K.P. Kulkarni contributed to drafting the manuscript, and J.G. Shannon, J.T. Song, H.T. Nguyen, and J.D. Lee editing manuscript. All authors read and approved the final manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical standards

The authors declare that the experiments comply with the current laws of counties in which the experiments were performed.

Supplementary material

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Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Sovetgul Asekova
    • 1
  • Krishnanand P. Kulkarni
    • 1
  • Gunvant Patil
    • 3
  • Minsu Kim
    • 1
  • Jong Tae Song
    • 1
  • Henry T. Nguyen
    • 3
  • J. Grover Shannon
    • 2
  • Jeong-Dong Lee
    • 1
    Email author
  1. 1.School of Applied BiosciencesKyungpook National UniversityDaeguRepublic of Korea
  2. 2.Division of Plant SciencesUniversity of Missouri- Delta CenterPortagevilleUSA
  3. 3.National Center for Soybean Biotechnology and Division of Plant SciencesUniversity of MissouriColumbiaUSA

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