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Theoretical and Applied Genetics

, Volume 128, Issue 9, pp 1747–1763 | Cite as

QTL mapping in multiple populations and development stages reveals dynamic quantitative trait loci for fruit size in cucumbers of different market classes

  • Yiqun Weng
  • Marivi Colle
  • Yuhui Wang
  • Luming Yang
  • Mor Rubinstein
  • Amir Sherman
  • Ron Ophir
  • Rebecca Grumet
Original Paper

Abstract

Key message

QTL analysis in multi-development stages with different QTL models identified 12 consensus QTLs underlying fruit elongation and radial growth presenting a dynamic view of genetic control of cucumber fruit development.

Abstract

Fruit size is an important quality trait in cucumber (Cucumis sativus L.) of different market classes. However, the genetic and molecular basis of fruit size variations in cucumber is not well understood. In this study, we conducted QTL mapping of fruit size in cucumber using F2, F2-derived F3 families and recombinant inbred lines (RILs) from a cross between two inbred lines Gy14 (North American picking cucumber) and 9930 (North China fresh market cucumber). Phenotypic data of fruit length and diameter were collected at three development stages (anthesis, immature and mature fruits) in six environments over 4 years. QTL analysis was performed with three QTL models including composite interval mapping (CIM), Bayesian interval mapping (BIM), and multiple QTL mapping (MQM). Twenty-nine consistent and distinct QTLs were detected for nine traits from multiple mapping populations and QTL models. Synthesis of information from available fruit size QTLs allowed establishment of 12 consensus QTLs underlying fruit elongation and radial growth, which presented a dynamic view of genetic control of cucumber fruit development. Results from this study highlighted the benefits of QTL analysis with multiple QTL models and different mapping populations in improving the power of QTL detection. Discussion was presented in the context of domestication and diversifying selection of fruit length and diameter, marker-assisted selection of fruit size, as well as identification of candidate genes for fruit size QTLs in cucumber.

Keywords

Recombinant Inbred Line Composite Interval Mapping Fruit Size Recombinant Inbred Line Population Fruit Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors thank Linda Crubaugh and Kristin Haider for technical assistance. This research was supported by US–Israel Binational Agricultural Research and Development (BARD) fund (Grant number IS-4341-10). Relevant work in Y. Weng’s lab was also partially supported by a US Department of Agriculture Specialty Crop Research Initiative grant (project number 2011-51181-30661).

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

122_2015_2544_MOESM1_ESM.pdf (333 kb)
Supplementary material 1. Fig. S1 Frequency distribution of plants or families of fruit size-related traits in F2, F3 (A, B) and RIL populations (C to K). (PDF 332 kb)
122_2015_2544_MOESM2_ESM.pdf (237 kb)
Supplementary material 2 (PDF 236 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg (outside the USA) 2015

Authors and Affiliations

  • Yiqun Weng
    • 1
    • 2
  • Marivi Colle
    • 3
  • Yuhui Wang
    • 1
  • Luming Yang
    • 1
  • Mor Rubinstein
    • 4
  • Amir Sherman
    • 4
  • Ron Ophir
    • 4
  • Rebecca Grumet
    • 3
  1. 1.Department of HorticultureUniversity of WisconsinMadisonUSA
  2. 2.USDA-ARS Vegetable Crops Research Unit, Horticulture DepartmentUniversity of WisconsinMadisonUSA
  3. 3.Horticulture DepartmentMichigan State UniversityEast LansingUSA
  4. 4.Department of Fruit Trees Sciences, Institute of Plant SciencesAgricultural Research Organization, Volcani CenterRishon LezionIsrael

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