Abstract
The interval mapping method is widely used for the genetic mapping of quantitative trait loci (QTLs), though true resolution of quantitative variation into QTLs is hampered with this method. Separation of QTLs is troublesome, because single-QTL is models are fitted. Further, genotype-by-environment interaction, which is of great importance in many quantitative traits, can only be approached by separately analyzing the data collected in multiple environments. Here, we demonstrate for the first time a novel analytic approach (MQM mapping) that accommodates both the mapping of multiple QTLs and genotype-by-environment interaction. MQM mapping is compared to interval mapping in the mapping of QTLs for flowering time in Arabidopsis thaliana under various photoperiod and vernalization conditions.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Clarke JH, Dean C (1994) Mapping FRI, a locus controlling flowering time and vernalization response. Mol Gen Genet 242:81–89
De Vicente MC, Tanksley SD (1993) QTL analysis of transgressive segregation in an interspecific tomato cross. Genetics 134:585–596
Hayes PM, Liu BH, Knapp SJ, Chen F, Jones B, Blake T, Franckowiak J, Rasmusson D, Sorrells M, Ullrich SE, Wesenberg D, Kleinhofs A (1993) Quantitative trait locus effects and environmental interaction in a sample of North american barley germ plasm. Theor Appl Genet 87:392–401
Jansen RC (1994) Controlling the type I and type II errors in mapping quantitative trait loci. Genetics 138:871–881
Koornneef M, Hanhart CJ, Van der Veen JH (1991) A genetic and physiological analysis of late flowering mutants in Arabidopsis thaliana. Mol Gen Genet 229:57–66
Lander ES, Botstein D (1989) Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121:185–199
Laurie DA, Pratchett N, Bezant JH, Snape JW (1994) Genetic analysis of a photoperiod response gene on the short arm of chromosome 2(2H) of Hordeum vulgare (barley). Heredity 72:619–627
Lister C, Dean C (1993) Recombinant inbred lines for mapping RFLP and phenotypic markers in Arabidopsis thaliana. Plant J 4:745–750
Martinez O, Curnow RN (1992) Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers. Theor Appl Genet 85:480–488
Martinez-Zapater JM, Coupland G, Dean C, Koornneef M (1994) The transition to flowering in Arabidopsis. In: Meyerowitz EM, Sommerville CR (eds) Arabidopsis. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y. pp 403–433
Meyerowitz EM, Pruitt RE (1985) Arabidopsis thaliana and plant molecular genetics. Science 229:1214–1218
Paterson AH, Lander ES Hewitt JD, Peterson S, Lincoln SE, Tanksely SD (1988) Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms. Nature 335:721–726
Paterson AH, Damon S, Hewitt JD, Zamir D, Rabinowitch HD, Lincoln SE, Lander ES, Tanksley SD (1991) Mendelian factors underlying quantitative traits in tomato: comparison across species, generations and environments. Genetics 127:181–197
Schön CC, Lee M, Melchinger A, Guthrie WD, Woodman WL (1993) Mapping and characterization of quantitative trait loci affecting resistance against second-generation European corn borer in maize with the aid of RFLPs. Heredity 70:648–659
Stuber CW, Lincoln SE, Wolff DW, Helentjaris T, Lander ES (1992) Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers. Genetics 132:823–839
Author information
Authors and Affiliations
Additional information
Communicated by F. Salamini
Rights and permissions
About this article
Cite this article
Jansen, R.C., Van Ooijen, J.W., Stam, P. et al. Genotype-by-environment interaction in genetic mapping of multiple quantitative trait loci. Theoret. Appl. Genetics 91, 33–37 (1995). https://doi.org/10.1007/BF00220855
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00220855