Characterizing Molecular Quantitative Variability for Inbreeding Depression(Differentiation Patterns of Plant Populations-Modern Approaches and Recent Progress)(INTERNATIONAL SYMPOSIUM : Differentiation Patterns of Plant Populations and Adaptive Mechanism

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Molecular quantitative genetics seeks to map and characterize the effects of individual genes underlying raits (quantitative trait loci, or QTLs). Classically, it uses genetic differences between distinct strains or taxa and saturated marker maps to infer the location and effects of specific genes. Little attention has been devoted to characterizing QTL variability within populations, as higher heterozygosity and smaller allele effects require much larger experimental effort to detect specific QTLs. An alternative approach for within-population studies is to utilize multiple crosses, each assayed for relatively few genetic markers. The genome regions surveyed for QTLs are regarded as random samples, with the objective of characterizing variability of QTLs. This approach is particularly appropriate for genetically heterogeneous traits such as inbreeding depression and life history (e. g., fitness) traits. In this paper, we explore this approach for QTLs affecting inbreeding depression, based upon a method using selfed progeny arrays, and illustrated with an experiment involving the common monkeyflower, Mimulus guttatus.
種生物学会の論文