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The aim of the current work was to analyse the population structure of eleven Spanish sheep breeds and to identify selection signatures produced by artificial selection for growth and milk traits.
to determine seed or breeding stock, students intuitively grasp the concept of evolution of enhanced types by artificial selection for desirable traits.
The genetic diversities of genes contributing to domestication syndromes and improvement traits are often accompanied by artificial selection for production and culture, and the geographic distribution of alleles might be altered by human migration (Kovach et al., 2007; Kovach and McCouch 2008; Olsen and Wendel 2013).
It may be that the Avy allele is a case in which a recently inserted retrotransposon, capable of transcriptional activity, has been maintained in an active state by artificial selection for that state.
In total, 4.38% of the annotated genes were impacted by artificial selection for agricultural traits.
Extreme phenotypes that may not be found in the wild can be maintained by artificial selection for aesthetic or economic demands.
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Finally, we should note that we did not detect several genes implicated by artificial selection and mutagenesis screens for alcohol related phenotypes in Drosophila (e.g. Adh, Aldh [ 32, 33], amnesiac [ 29], white rabbit [ 101], hangover [ 102]).
This sweep is likely caused by strong artificial selection for a trait of interest and could have inadvertently led to undesired health implications for this breed.
The subsequent modern breeding process, which has been facilitated by extensive artificial selection for desirable traits, has resulted in the rapid loss of genetic diversity that was originally present in the wild ancestral population [ 13].
Finally, we discuss the likely importance of the observed genetic variation and heritability for the recovery of F. excelsior in Europe, and the potential for restoring health by artificial selection and breeding.
Because the first genomic screening indicated only 2 4%% were selected, Yamasaki et al. (2005) proposed a more efficient screen for the identification of genes affected by artificial selection.
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