Hostname: page-component-89b8bd64d-nlwjb Total loading time: 0 Render date: 2026-05-08T13:00:37.609Z Has data issue: false hasContentIssue false
  • English
  • Français

Mapping quantitative trait loci using four-way crosses

Published online by Cambridge University Press:  14 April 2009

Shizhong Xu
Shizhong Xu
Affiliation:
Department of Botany and Plant Sciences, University of California, Riverside, CA 92521, USA
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

In plant species, typical gene mapping strategies use populations initiated from crosses between two inbred lines. However, schemes including more than two parents could be used. In this paper, a new approach is introduced which uses a four-way cross population derived from four inbred lines. The four-way cross design for mapping quantitative trait loci (QTLs) provides tests for QTL segregation in four lines simultaneously in one experiment. Therefore, it is a more economical strategy than oneusing line crosses between only two lines. The new strategy also increases the probability of detecting QTLs if they segregate in one line cross but not in the other. A multiple linear regression analysis is used for QTL detection. It is proven that the expected residual variance from the regression analysis differs from the pure environmental variance. Correction for the bias is proposed and verified by computer simulations.

Information

Type
Research Article
Information
Genetics Research , Volume 68 , Issue 2 , October 1996 , pp. 175 - 181
Copyright
Copyright © Cambridge University Press 1996

References

Churchill, G. A., & Doerge, R. W., (1994). Empirical threshold values for quantitative trait mapping. Genetics 138, 963–971.CrossRefGoogle ScholarPubMed
Falconer, D. S., & Mackay, T. F. C., (1995). Introduction to Quantitative Genetics. New York: Longman.Google Scholar
Haley, C. S., & Knott, S. A., (1992). A simple regression method for mapping quantitative trait loci in line crosses using flanking markers. Heredity 69, 315–324.CrossRefGoogle ScholarPubMed
Jansen, R. C., (1993). Interval mapping of multiple quantitative trait loci. Genetics 135, 205–211.CrossRefGoogle ScholarPubMed
Jansen, R. C., (1994). Controlling the Type I and Type II errors in mapping quantitative trait loci. Genetics 138, 871–881.CrossRefGoogle ScholarPubMed
Lander, E. S., & Botstein, D., (1989). Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps. Genetics 121, 185–199.CrossRefGoogle ScholarPubMed
Martinez, O., & Curnow, R. N., (1992). Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers. Theoretical and Applied Genetics 85, 480–488.CrossRefGoogle ScholarPubMed
Martinez, O., & Curnow, R. N., (1994). Missing markers when estimating quantitative trait loci using regression mapping. Heredity 73, 198–206.CrossRefGoogle Scholar
Rebai, A., & Goffinet, B., (1993). Power of tests for QTL detection using replicated progenies derived from a diallele cross. Theoretical and Applied Genetics 86, 1014–1022.CrossRefGoogle ScholarPubMed
Zeng, Z.-B. (1994). Precision mapping of quantitative trait loci. Genetics 136, 1457–1468.CrossRefGoogle ScholarPubMed