Theoretical and Applied Genetics

, Volume 132, Issue 2, pp 405–417 | Cite as

Molecular characterization of genomic regions for resistance to Pythium ultimum var. ultimum in the soybean cultivar Magellan

  • Mariola Klepadlo
  • Christine S. Balk
  • Tri D. Vuong
  • Anne E. Dorrance
  • Henry T. NguyenEmail author
Original Article


Key message

Two novel QTL for resistance to Pythium ultimum var. ultimum were identified in soybean using an Illumina SNP Chip and whole genome re-sequencing.


Pythium ultimum var. ultimum is one of numerous Pythium spp. that causes severe pre- and post-emergence damping-off of seedlings and root rot of soybean [Glycine max (L.) Merr.]. The objective of this research was to identify quantitative trait loci (QTL) for resistance to P. ultimum var. ultimum in a recombinant inbred line population derived from a cross of ‘Magellan’ (moderately resistant) and PI 438489B (susceptible). Two different mapping approaches were utilized: the universal soybean linkage panel (USLP 1.0) and the bin map constructed from whole genome re-sequencing (WGRS) technology. Two genomic regions associated with variation in three disease-related parameters were detected using both approaches, with the bin map providing higher resolution. Using WGRS, the first QTL were mapped within a 350-kbp region on Chr. 6 and explained 7.5–13.5% of the phenotypic variance. The second QTL were positioned in a 260-kbp confidence interval on Chr. 8 and explained 6.3–16.8% of the phenotypic variation. Candidate genes potentially associated with disease resistance were proposed. High-resolution genetic linkage maps with a number of significant SNP markers could benefit marker-assisted breeding and dissection of the molecular mechanisms underlying soybean resistance to Pythium damping-off in ‘Magellan.’ Additionally, the outputs of this study may encourage more screening of diverse soybean germplasm and utilization of genome-wide association studies to understand the genetic basis of quantitative disease resistance.



Analysis of variance


Best linear unbiased predictor


Days after inoculation


Logarithm of odds


Marker-assisted selection


Linkage group


Least significant difference


Multiple disease resistance


Multiple-QTL modeling


Quantitative trait locus


Plant stand


Recombinant inbred line


Root rot score


Fresh root weight


Single nucleotide polymorphism


Simple sequence repeat


Universal soybean linkage panel


Whole genome re-sequencing



The authors would like to thank Dennis C. Yungbluth and Dr. Peng Cheng for their technical assistance with seed delivery, and Deloris Veney for technical assistance with phenotypic assay. Funding was provided through the soybean check-off dollars from United Soybean Board. This project was also funded in part through check-off dollars provided by the Ohio Soybean Council, and funds appropriated to the Ohio Agricultural Research and Development Center, The Ohio State University, and the National Institute of Food and Agriculture, United States Department of Agriculture (USDA), Hatch project for Development of Disease Management Strategies for Soybean Pathogens in Ohio OHO01303.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

Supplementary material

122_2018_3228_MOESM1_ESM.docx (19 kb)
Supplementary Table 1. Summary of candidate genes identified in confidence intervals of QTL detected on Chrs. 6 and 8 conferring resistance to Pythium ultimum var. ultimum in Magellan. (DOCX 19 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Division of Plant ScienceUniversity of MissouriColumbiaUSA
  2. 2.Department of Plant PathologyThe Ohio State UniversityWoosterUSA
  3. 3.Davey TreeKentUSA

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