Molecular Breeding

, 39:27 | Cite as

Molecular tools for detecting Pdh1 can improve soybean breeding efficiency by reducing yield losses due to pod shatter

  • Carrie Miranda
  • Carolyn Culp
  • Mária Škrabišová
  • Trupti Joshi
  • François Belzile
  • David M. Grant
  • Kristin BilyeuEmail author


Pod shattering is an ancestral trait that promotes seed dispersal; however, shattering can have substantial yield losses in cultivated soybean. During the improvement process, American soybean breeders virtually eliminated the shatter phenotype for released varieties, but in other countries, such as Ghana, shatter persists. The objective of our research was to find a molecular tool to implicate genetic shatter susceptibility, validate its usefulness, and apply this knowledge to identify shattering potential in parental lines. Previous research revealed the gene Pdh1 on chromosome 16 plays a crucial role in determining the shatter phenotype. A perfect molecular marker assay was developed to detect alleles of the Pdh1 gene. A genome-wide association study (GWAS) was performed using the Pdh1 allele status as a phenotype and identified a highly associated marker in the SoySNP50K array. Soybean accessions from the National Plant Germplasm System (GRIN-NPGS) with shatter score and SoySNP50K data were evaluated to determine the impact of the predicted Pdh1 alleles on early and late pod shattering. An online tool was developed to enable researchers to query the GRIN collection for the predicted Pdh1 allele status. Lines from an African soybean germplasm collection were analyzed, and it was determined that 22.5% of lines had the shatter-susceptible alleles of Pdh1; two of seven Ghanaian released soybean varieties had the shatter-susceptible alleles of Pdh1. Soybean breeding programs that access germplasm from the GRIN or the African collection can utilize these resources to eliminate the Pdh1 effects on pod shatter and thus improve yield potential.


Soybean Breeding Domestication Molecular tools Pod shatter 


Funding information

This work was supported by the US Department of Agriculture-Agricultural Research Service. This research is in part funded by the USAID Feed the Future Lab for Soybean Value Chain Research. The award number is Cooperative Agreement Number AID OAA-L-14-00001.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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Copyright information

© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019

Authors and Affiliations

  1. 1.Division of Plant SciencesUniversity of MissouriColumbiaUSA
  2. 2.Division of BiochemistryUniversity of MissouriColumbiaUSA
  3. 3.Department of Molecular Biology, Centre of the Region Haná for Biotechnological and Agricultural Research, Faculty of SciencePalacký University in OlomoucOlomoucCzech Republic
  4. 4.Department of Health Management and Informatics and MU Informatics InstituteUniversity of MissouriColumbiaUSA
  5. 5.Département de Phytologie and Institut de Biologie Intégrative et des Systèmes (IBIS)Université LavalQuébecCanada
  6. 6.USDA/ARS Corn Insects and Crop Genetics ResearchAmesUSA
  7. 7.USDA/ARS Plant Genetics Research UnitColumbiaUSA

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