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Haplotypic QTL mapping in an outbred pedigree
David P Gwaze1, Yi Zhou, M Humberto Reyes-Valdés
1Texas A&M University, College Station, TX 77843-2135, USA.
Genetical Research
|April 16, 2003
Summary
Researchers developed a method to trace quantitative trait locus (QTL) haplotypes in outbred pedigrees using founder origin probabilities and informative markers. This approach successfully identified a major growth rate QTL in Loblolly pine (Pinus taeda L.).
Area of Science:
- Genetics
- Plant Breeding
- Quantitative Genetics
Background:
- Tracing chromosomal segments (haplotypes) from offspring to founders is complex in outbred pedigrees for quantitative trait locus (QTL) detection.
- Existing methods face challenges in accurately identifying the origin of genetic contributions in complex pedigrees.
Purpose of the Study:
- To develop and validate a haplotypic method for tracing QTLs in outbred pedigrees.
- To identify major QTLs influencing growth rate in Loblolly pine (Pinus taeda L.).
- To determine the inheritance pattern and founder origin of a significant growth QTL.
Main Methods:
- Utilized founder-origin probabilities combined with fully informative flanking markers to trace QTL haplotypes.
- Employed interval mapping and a three-generation pedigree of Pinus taeda L. for QTL detection.
- Estimated growth rate using height measurements from ages 2 to 10 years and analyzed genetic architecture with mixed models.
Main Results:
- A large QTL influencing growth rate was detected, explaining 11.3% of phenotypic variance.
- This QTL was consistently expressed across different ages, accounting for 7.9–12.2% of variance.
- A mixed-model inheritance pattern was more suitable than a polygenic model for growth curves in P. taeda.
Conclusions:
- The developed haplotypic method effectively estimates QTL magnitude, traces founder origin, and determines transmission frequency.
- Fully informative markers and founder origin probabilities are powerful tools for QTL analysis in complex pedigrees.
- Identified a significant growth QTL in Loblolly pine, providing insights into its genetic architecture and inheritance.