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Use of molecular markers aids in the development of diverse inbred backcross lines in Beit Alpha cucumber (Cucumis sativus L.)

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Abstract

Beit Alpha cucumber (Cucumis sativus L.) is a Mediterranean fresh-market type with a relatively narrow genetic base. To broaden its base for plant improvement, 42 diverse accessions were compared employing a previously defined standard marker array to choose wide-based parental lines for use in backcross introgression. Inbred backcross lines (IBL) were developed by crossing Beit Alpha line ‘04HD5’ (De Ruiter Seeds, The Netherlands; recurrent parent) and PI 285606 (Poland; donor parent), and then selecting the most genetically diverse BC1 and BC2 progeny based on molecular marker profiles, followed by three generations of single-seed descent to produce 117 IBL. Molecular genotyping of IBL was then performed, and IBL were evaluated for days to anthesis, sex expression, pistillate flowers per node, lateral branch number, fruits per plant, fruit length, and fruit weight in the US, The Netherlands, Israel, and Turkey. Multivariate analyses and genetic distance comparisons indicate that IBL possessed considerable inter-line morphological and genotypic diversity. These diverse IBL will be useful in genetic studies and to evaluate Beit Alpha cross-progeny derived from IBL × elite germplasm created to broadened genetic base of this market type.

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References

  • Bradeen JM, Staub JE, Wye C, Antonise R, Peleman J (2001) Towards an expanded and integrated linkage map of cucumber (Cucumis sativus L.). Genome 44:111–119

    Article  CAS  PubMed  Google Scholar 

  • Delannay IY (2009) Use of molecular markers to increase genetic diversity of Beit Alpha, European Long, and U.S. Processing market classes of cucumber (Cucumis sativus L.) through marker-assisted selection. Ph.D. Dissertation, University of Wisconsin at Madison

  • Dijkhuizen A, Kennard WC, Havey MJ, Staub JE (1996) RFLP variation and genetic relationships in cultivated cucumber. Euphytica 90:79–87

    Google Scholar 

  • Falconer DS, Mackay TFC (1989) Introduction to quantitative genetics. Benjamin Cummings, San Francisco

    Google Scholar 

  • Fan Z, Robbins MD, Staub JE (2006) Population development by phenotypic selection with subsequent marker-assisted selection for line extraction in cucumber (Cucumis sativus L.). Theor Appl Genet 112:3–855

    Google Scholar 

  • Fazio G, Staub JE, Chung SM (2002) Development and characterization of PCR markers in cucumber (Cucumis sativus L.). J Am Soc Hortic Sci 127:545–557

    CAS  Google Scholar 

  • Fazio G, Staub JE, Stevens MR (2003) Genetic mapping and QTL analysis of horticultural traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Theory Appl Genet 107:864–874

    Article  CAS  Google Scholar 

  • Hallauer AR, Miranda JB (1988) Quantitative genetics in maize breeding, 2nd edn. Iowa State University, Ames, Iowa

    Google Scholar 

  • Horejsi T, Staub JE (1999) Genetic variation in cucumber (Cucumis sativus L.) as assessed by random amplified polymorphic DNA. Genet Resour Crop Ev 46:337–350

    Article  Google Scholar 

  • Jaccard P (1908) Nouvelles rescherches sur la distribution florale. Bull Soc Vandoise des Sci Nat 44:223–270

    Google Scholar 

  • Kong Q, Xiang C, Yu Z (2006) Development of EST-SSRs in Cucumis sativus from sequence database. Mol Ecol Notes 6:1234–1236

    Article  CAS  Google Scholar 

  • Kruskal JB (1964a) Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29:1–27

    Article  Google Scholar 

  • Kruskal JB (1964b) Nonmetric multidimensional scaling: a numerical method. Psychometrika 29:28–42

    Google Scholar 

  • Meglic V, Staub JE (1996) Genetic diversity in cucumber (Cucumis sativus L): 2. An evaluation of selected cultivars released between 1846 and 1978. Genet Resour Crop Ev 43:547–558

    Article  Google Scholar 

  • Meglic V, Serquen F, Staub JE (1996) Genetic diversity in cucumber (Cucumis sativus L): 1. A reevaluation of the US germplasm collection. Genet Resour Crop Ev 43:533–546

    Article  Google Scholar 

  • Miller MP (1997) Tools for population genetic analyses (TFPGA) 1.3: A windows program for the analysis of allozyme and molecular population genetic data. Computer software distributed by author

  • Nandgaonkar AK, Baker LR (1981) Inheritance of multi-pistillate flowering habit in gynoecious pickling cucumber. J Am Soc Hortic Sci 106:755–757

    Google Scholar 

  • Pearson K (1900) On a criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Cambridge University Press, Cambridge, UK

    Google Scholar 

  • Ritschel P, de Lima Lins T, Tristan R, Cortopassi-Buso G, Amauri-Buso J, Ferreira M (2004) Development of microsatellite markers from an enriched genomic library for genetic analysis of melon (Cucumis melo L.). BMC Plant Biology 4:9

    Article  PubMed  Google Scholar 

  • Robbins MD, Staub JE (2009) Comparative analysis of marker-assisted and phenotypic selection for yield components in cucumber. Theor Appl Genet 119:621–634

    Article  PubMed  Google Scholar 

  • Robbins MD, Casler MD, Staub JE (2008) Pyramiding QTL for multiple lateral branching in cucumber using nearly isogenic lines. Mol Breed 22:131–139

    Article  Google Scholar 

  • Rogers JS (1972) Measures of genetic similarity and genetic distance. In: Studies in genetics, vol VII. University Texas Publcation 7213, pp 145–153

  • Rohlf FJ (1998) NTSYS-Pc v2.0 numerical taxonomy and multivariable analysis system. Applied Biostatistics, New York

    Google Scholar 

  • SAS (2003) SAS Software, version 9.1 for windows. SAS Institute Inc, Cary, NC

    Google Scholar 

  • Shaw NL, Cantliffe DJ, Rodriguez ST, Spencer DM (2000) Beit Alpha cucumber: an exciting new greenhouse crop. Proc Fla State Hort Soc 113:247–253

    Google Scholar 

  • Shaw NL, Cantliffe DJ, Funes J, Shine C (2004) Successful Beit Alpha cucumber production in greenhouse using pine bark as an alternative soilless media. HortTechnology 14:289–294

    Google Scholar 

  • Shaw NL, Cantliffe DJ, Stoffella PJ (2007) A new crop for North American greenhouse growers: Beit Alpha cucumber: progress of production technology through university research trials. Acta Hortic 731:251–255

    Google Scholar 

  • Sokal RR, Rohlf FJ (1994) Biometry: the principles and practice of statistics in biological research, 3rd edn. Freeman, New York

    Google Scholar 

  • Staub JE, Knerr LD, Holder DJ, May B (1992) Phylogenetic relationships among several African Cucumis species. Can J Bot 70:509–517

    Article  CAS  Google Scholar 

  • Staub JE, Serquen FC, McCreight JD (1997) Genetic diversity in cucumber (Cucumis sativus L.): 3. An evaluation of Indian germplasm. Genet Resour Crop Ev 46:315–326

    Article  Google Scholar 

  • Staub JE, Serquen FC, Horejsi T, Chen JF (1999) Genetic diversity in cucumber (Cucumis sativus L.): IV. An evaluation of Chinese germplasm. Genet Resour Crop Ev 46:297–310

    Article  Google Scholar 

  • Staub JE, Chung SM, Fazio G (2005) Conformity and genetic relatedness estimation in crop species having a narrow genetic base: the case of cucumber (Cucumis sativus L.). Plant Breeding 124:44–53

    Article  CAS  Google Scholar 

  • Sun Z, Staub JE, Chung SM, Lower RL (2006a) Identification and comparative analysis of quantitative trait loci associated with parthenocarpy in processing cucumber. Plant Breeding 125:281–287

    Article  CAS  Google Scholar 

  • Sun ZY, Lower RL, Staub JE (2006b) Variance component analysis of parthenocarpy in elite US processing type cucumber (Cucumis sativus L.) lines. Euphytica 148:331–339

    Article  Google Scholar 

  • Tanksley SD, Grandillo S, Fulton TM, Zamir D, Eshed Y, Petiard V et al (1996) Advanced backcross QTL analysis in a cross between an elite processing line of tomato and its wild relative L. pimpinellifolium. Theor Appl Genet 92:213–224

    Article  CAS  Google Scholar 

  • Villalta AM, Sargent SA, Berry AD, Huber DJ (2003) Sensitivity of Beit Alpha cucumber (Cucumis sativus L.) to low temperature storage. Proc Fla State Hort Soc 116:364–366

    Google Scholar 

  • Wehrhahn C, Allard RH (1965) The detection and measurement of the effects of individual genes involved in the inheritance of a quantitative character in wheat. Genetics 51:109–119

    CAS  PubMed  Google Scholar 

  • Wright S (1978) Evolution and the genetics of populations. Variability within and among natural populations. U. Chicago Press, Chicago, Illinois

    Google Scholar 

  • Yuan X, Pan J, Cai R, Guan Y, Liu L, Zhang W et al (2008) Genetic mapping and QTL analysis of fruit and flower related traits in cucumber (Cucumis sativus L.) using recombinant inbred lines. Euphytica 164:473–491

    Article  CAS  Google Scholar 

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Acknowledgements

This research project was supported by funding from Nunhems (Haelen, The Netherlands), DeRuiter (Bergschenhoek, The Netherlands), Enza Zaden (Enkhuizen, the Netherlands), and Nickerson-Zwaan (Made, the Netherlands) seed companies. Special thanks to Enza Zaden, Nickerson-Zwaan, and Nunhems for their help with field data collection in The Netherlands, Israel, and Turkey. Mention of trade name, proprietary product, or specific equipment does not constitute a guarantee or warranty by the USDA, and does not imply its approval to theexclusion of other products that may be suitable.

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  1. Jack E. Staub

    Present address: U. S. Department of Agriculture, Agricultural Research Service, Forage and Range Research Laboratory, Utah State University, Logan, UT, 84322-6300, USA

Authors and Affiliations

  1. Vegetable Crops Unit, U.S. Department of Agriculture, Agricultural Research Service, Department of Horticulture, University of Wisconsin, 1575 Linden Dr, Madison, WI, 53706, USA

    Isabelle Y. Delannay & Jack E. Staub

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  1. Isabelle Y. Delannay
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  2. Jack E. Staub
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Correspondence to Isabelle Y. Delannay.

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Delannay, I.Y., Staub, J.E. Use of molecular markers aids in the development of diverse inbred backcross lines in Beit Alpha cucumber (Cucumis sativus L.). Euphytica 175, 65–78 (2010). https://doi.org/10.1007/s10681-010-0183-2

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