caa a22 4500 475796454 CHVBK 20180406123725.0 cr unu---uuuuu 170329e20000301xx s 000 0 eng 10.1007/s001220051347 doi (NATIONALLICENCE)springer-10.1007/s001220051347 Wu R. L. Program in Statistical Genetics, Department of Statistics, Box 8203, North Carolina State University, Raleigh, NC 27695-8203, USA e-mail: rwu@unity.ncsu.edu Fax: +1-919-515-7315, US aut Partitioning of population genetic variance under multiplicative-epistatic gene action [Elektronische Daten] [R. L. Wu] Abstract : Determining the way in which different QTLs interact (epistasis) in their effects on the phenotype is crucial to many areas in population genetics and evolutionary biology. For example, in the founder event, a separated population readapts to a new environment through the release of cryptic gene-gene interactions. In hybrid zones, hybrid speciation must be subjected to natural selection for epistasis resulting from genomic recombinations between different species. However, there is a severe shortage of relevant methodologies to estimate epistatic genetic effects and variances. A statistical model has recently been proposed to estimate the number of QTLs, their genetic effects and allelic frequencies in segregating populations. This model is based on multiplicative gene action and derived from a two-level intra- and interspecific mating design. In this paper, we formulate a statistical procedure for partitioning the genetic variance into additive, dominant and various kinds of epistatic components in an intra- or mixed intra- and interspecific hybrid population. The procedure can be used to study the genetic architecture of fragmented populations and hybrid zones, thus allowing for a better recognition of the role of epistasis in evolution and hybrid speciation. A real example for two Populus species, P. tremuloides and P. tremula, is provided to illustrate the procedure. In this example, we found that considerable new genetic variation is formed through genomic recombination between two aspen species. Springer-Verlag Berlin Heidelberg, 2000 Key words Additive genetic variance nationallicence Aspen nationallicence Dominant genetic variance nationallicence Epistatic genetic variance nationallicence Founder effect nationallicence Hybrid speciation nationallicence Multiplicative epistasis nationallicence Outcrossing species nationallicence https://doi.org/10.1007/s001220051347 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001220051347 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Wu R. L. Program in Statistical Genetics, Department of Statistics, Box 8203, North Carolina State University, Raleigh, NC 27695-8203, USA e-mail: rwu@unity.ncsu.edu Fax: +1-919-515-7315, US aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer