Marker-assisted introgression of five QTLs controlling fruit quality traits into three tomato lines revealed interactions between QTLs and genetic backgrounds (original) (raw)
Abstract
The evaluation of organoleptic quality of tomato fruit requires physical, chemical and sensory analyses, which are expensive and difficult to assess. Therefore, their practical use in phenotypic selection is difficult. In a previous study, the genetic control of several traits related to organoleptic quality of fresh-market tomato fruit was investigated. Five chromosome regions strongly involved in organoleptic quality attributes were then chosen to be introgressed into three different recipient lines through marker-assisted selection. A marker-assisted backcross (MABC) strategy was performed, as all the favorable alleles for quality traits were provided by the same parental tomato line, whose fruit weight (FW) and firmness were much lower than those of the lines commonly used to develop fresh market varieties. Three improved lines were obtained after three backcrossing and two selfing generations. The implementation of the MABC scheme is described. The three improved lines were crossed together and with the recipient lines in a half-diallel mating scheme, and the simultaneous effect of the five quantitative trait locus (QTL) regions was compared in different genetic backgrounds. Significant effects of the introgressed regions and of the genetic backgrounds were shown. Additive effects were detected for soluble solid and reducing sugar content in two genetic backgrounds. A partially dominant effect on titratable acidity was detected in only one genetic background. In contrast, additive to dominant unfavorable effects of the donor alleles were detected for FW and locule number in the three genetic backgrounds. Recessive QTL effects on firmness were only detected in the two firmest genetic backgrounds. Comparison of the hybrids in the half-diallel gave complementary information on the effects of: (1) the alleles at the selected regions, (2) the genetic backgrounds and (3) their interaction. Breeding efficiency strongly varied according to the recipient parent, and significant interactions between QTLs and genetic backgrounds were shown for all of the traits studied.
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References
- Bouchez A, Hospital F, Causse M, Gallais A, Charcosset A (2002) Marker-assisted introgression of favorable alleles at quantitative trait loci between maize elite lines. Genetics 162:1945–1959
CAS PubMed Google Scholar - Causse M, Saliba-Colombani V, Lesschaeve I, Buret M (2001a) Genetic analysis of organoleptic quality in fresh market tomato. 2. Mapping QTLs for sensory attributes. Theor Appl Genet 102:273–283
Article CAS Google Scholar - Causse M, Lecomte L, Baffert N, Duffé P, Hospital F (2001b) Marker-assisted selection for the transfer of QTLs controlling fruit quality traits into tomato elite lines. Acta Hortic 546:557–564
CAS Google Scholar - Causse M, Saliba-Colombani V, Lecomte L, Duffé P, Rousselle P, Buret M (2002) QTL analysis of fruit quality in fresh market tomato: a few chromosome regions control the variation of sensory and instrumental traits. J Exp Bot 53:2089–2098
Article CAS PubMed Google Scholar - Causse M, Buret M, Robini K, Verschave P (2003) Inheritance of nutritional and sensory quality traits in fresh market tomato and relation to consumer preferences. J Food Sci 68:2342–2350
CAS Google Scholar - Eshed Y, Zamir D (1996) Less-than-additive epistatic interactions of quantitative trait loci in tomato. Genetics 143:1807–1817
CAS PubMed Google Scholar - Fulton TM, Chunwongse J, Tanksley SD (1995) Microprep protocol for extraction of DNA from tomato and other herbaceous plants. Plant Mol Biol Rep 13:207–209
CAS Google Scholar - Han F, Romagosa I, Ullrich SE, Jones BL, Hayes PM, Wesenberg DM (1997) Molecular marker-assisted selection for malting quality traits in barley. Mol Breed 3:427–437
CAS Google Scholar - Hospital F, Charcosset A (1997) Marker-assisted introgression of quantitative trait loci. Genetics 147:1469–1485
CAS PubMed Google Scholar - Jones RA, Scott SJ (1983) Improvement of tomato flavor by genetically increasing sugar and acid contents. Euphytica 32:845–855
Google Scholar - Kearsey MJ, Farquhar AGL (1998) QTL analysis in plants: where are we now? Heredity 80:137–142.
PubMed Google Scholar - Lecomte L, Saliba-Colombani V, Gautier A, Gomez-Jimenez MC, Duffé P, Buret M, Causse M (2004) Fine mapping of QTLs of chromosome 2 affecting the fruit architecture and composition of tomato. Mol Breed 1:1–14
Article Google Scholar - Liao CY, Wu P, Hu B, Yi KK (2001) Effects of genetic background and environment on QTLs and epistasis for rice (Oryza sativa L.) panicle number. Theor Appl Genet 103:104–111
CAS Google Scholar - Miller JC, Tanksley SD (1990) RFLP analysis of phylogenetic relationships and genetic variation in the genus Lycopersicon. Theor Appl Genet 80:437–48
CAS Google Scholar - Nesbitt TC, Tanksley SD (2002) Comparative sequencing in the Genus Lycopersicon: implications for the evolution of fruit size in the domestication of cultivated tomatoes. Genetics 162:365–379
Google Scholar - Petro-Turza M (1987) Flavor of tomato and tomato products. Food Rev Int 2:309–351
Google Scholar - Robert VJM, West MAL, Inai S, Caines A, Arntzen L, Smith JK, St Clair DA (2001) Marker-assisted introgression of blackmold resistance QTL alleles from wild Lycopersicon cheesmanii to cultivated tomato (L. esculentum) and evaluation of QTL phenotypic effects. Mol Breed 8:217–233
Article CAS Google Scholar - Saliba-Colombani V, Causse M, Gervais L, Philouze J (2000) Efficiency of AFLP, RAPD and RFLP markers for the construction of an intraspecific map of the tomato genome. Genome 43:29–40
Article CAS PubMed Google Scholar - Saliba-Colombani V, Causse M, Langlois D, Philouze J, Buret M (2001) Genetic analysis of organoleptic quality in fresh market tomato. 1. Mapping QTLs for physical and chemical traits. Theor Appl Genet 102:259–272
Article CAS Google Scholar - SAS Institute (1988) SAS users guide: statistics. SAS Institute, Cary, N.C.
Google Scholar - Sebolt AM, Shoemaker RC, Diers BW (2000) Analysis of a quantitatI’ve trait locus allele from wild soybean that increases seed protein concentration in soybean. Crop Sci 40:1438–1444
Google Scholar - Servin B, Dillmann C, Decoux G, Hospital F (2002) mdm: a program to compute fully informative genotype frequencies in complex breeding schemes. J Hered 3:227–228
Article Google Scholar - Shen L, Courtois B, McNally KL, Robin S, Li Z (2001) Evaluation of near-isogenic lines of rice introgressed with QTLs for root depth through marker-aided selection. Theor Appl Genet 103:75–83
Article CAS Google Scholar - Singh S, Sidhu JS, Huang N, Vikal Y, Li Z, Brar DS, Dhaliwal HS, Khush GS (2001) Pyramiding three bacterial blight resistance genes (xa5, xa13 and xa21) using marker-assisted selection into indica rice cultivar PR106. Theor Appl Genet 102:1011–1015
CAS Google Scholar - Stevens MA (1986) Inheritance of tomato fruit quality components. Plant Breed Rev 4:273–311
Google Scholar - Stevens MA, Kadre AA, Albright M (1979) Potential for increasing tomato flavor via sugar and acid contents. J Am Soc Hortic Sci 104:40–42
Google Scholar - Toojinda T, Baird E, Booth A, Broers L, Hayes P, Powell W, Thomas W, Vivar H, Young G (1998) Introgression of quantitative trait loci (QTLs) determining stripe rust resistance in barley: an example of marker-assisted line development. Theor Appl Genet 96:123–131
Article CAS Google Scholar - Yousef GG, Juvik JA (2002) Enhancement of seedling emergence in sweet corn by marker-assisted backcrossing of beneficial QTL. Crop Sci 42:96–104
PubMed Google Scholar - Yu K, Park SJ, Poysa V (2000) Marker-assisted selection of common beans for resistance to common bacterial blight: efficacy and economics. Plant Breed 119:411–415
Article CAS Google Scholar
Acknowledgements
Many thanks to N. Baffert, A. Gautier and A. Luciani for their genotypic and phenotypic analyses, to A.M. Cossalter for taking care of the plants and for phenotypic evaluations and to R. Matthieu for the chemical evaluations. The recipient lines were kindly provided by the Vilmorin seed company. This research program was funded by the French Ministry of Agriculture. Laurent Lecomte was partly supported by the Conseil Régional Provence-Alpes-Côte d’Azur (France). The experiments comply with current French laws.
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Authors and Affiliations
- INRA, Unité de Génétique et Amélioration des Fruits et Légumes, Domaine Saint-Maurice, B.P. 94, 84143, Montfavet Cedex, France
L. Lecomte, P. Duffé & M. Causse - INRA, UMR Sécurité et Qualité des Produits d’Origine Végétale, Domaine Saint-Paul, 84914, Avignon Cedex 9, France
M. Buret - Station de Génétique Végétale, INRA-UPS-INAPG, Ferme du Moulon, 91190, Gif-sur-Yvette, France
B. Servin & F. Hospital
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- L. Lecomte
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Correspondence toM. Causse.
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Communicated by Q. Zhang
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Lecomte, L., Duffé, P., Buret, M. et al. Marker-assisted introgression of five QTLs controlling fruit quality traits into three tomato lines revealed interactions between QTLs and genetic backgrounds.Theor Appl Genet 109, 658–668 (2004). https://doi.org/10.1007/s00122-004-1674-0
- Received: 25 August 2003
- Accepted: 19 March 2004
- Published: 27 April 2004
- Issue Date: August 2004
- DOI: https://doi.org/10.1007/s00122-004-1674-0