Abstract:The ability of a population to adapt to changes in their living conditions, whether in nature or captivity, often depends on polymorphisms in multiple genes across the genome. In-depth studies of such polygenic adaptations are difficult in natural populations, but can be approached using the resources provided by artificial selection experiments. Here, we dissect the genetic mechanisms involved in long-term selection responses of the Virginia chicken lines, populations that after 40 generations of divergent se… Show more
“…An analysis of QTLs for commercially valuable traits in farm animals supports well the conclusion that recessive variation maintained in a population plays an important role [73][74][75]. The majority of the traits are related to morphological and physiological characteristics affected by stabilizing selection.…”
Background. It is well known that the shape of the male copulatory system is strongly associated with mating behavior in Drosophila. The shape of the male genitalia is also known as the most rapidly evolving structure among all morphological characters. However, only a part of the male copulating system, namely epandrium, has actually been used as the only model to study the genetic basis of species-specific differences in the shape of the copulatory system in D. simulans and D. mauritiana. Almost nothing is known about the effects of both sex chromosomes on the shape of the male mating organ. Results. Seven factors were isolated that describe variation of different parts of the male mating organ. The shape of the male mating organ depends on the combination of the sex chromosome status, the autosome status, and the male parent identity as an epigenetic factor. The effect of the male parent identity is possibly mediated through the epigenetic marking of chromosomes in interspecific hybrids during gametogenesis and a subsequent effect of the resulting signatures on the ontogeny of offspring. Epistatic interactions of the sex chromosomes and autosomes and epigenetic effects of the male parent origin from interspecific crosses influence the expression of species-specific traits in the shape of the male copulatory system. Conclusions. Epistatic interactions of the sex chromosomes and autosomes and epigenetic effects of the male parent origin from interspecific crosses influence the expression of species-specific traits in the shape of the male copulatory system. It can be assumed that sexual selection for specific genes associated with male traits implemented in the courtship ritual prevents the well-known effect of demasculinization of the X chromosome.
“…An analysis of QTLs for commercially valuable traits in farm animals supports well the conclusion that recessive variation maintained in a population plays an important role [73][74][75]. The majority of the traits are related to morphological and physiological characteristics affected by stabilizing selection.…”
Background. It is well known that the shape of the male copulatory system is strongly associated with mating behavior in Drosophila. The shape of the male genitalia is also known as the most rapidly evolving structure among all morphological characters. However, only a part of the male copulating system, namely epandrium, has actually been used as the only model to study the genetic basis of species-specific differences in the shape of the copulatory system in D. simulans and D. mauritiana. Almost nothing is known about the effects of both sex chromosomes on the shape of the male mating organ. Results. Seven factors were isolated that describe variation of different parts of the male mating organ. The shape of the male mating organ depends on the combination of the sex chromosome status, the autosome status, and the male parent identity as an epigenetic factor. The effect of the male parent identity is possibly mediated through the epigenetic marking of chromosomes in interspecific hybrids during gametogenesis and a subsequent effect of the resulting signatures on the ontogeny of offspring. Epistatic interactions of the sex chromosomes and autosomes and epigenetic effects of the male parent origin from interspecific crosses influence the expression of species-specific traits in the shape of the male copulatory system. Conclusions. Epistatic interactions of the sex chromosomes and autosomes and epigenetic effects of the male parent origin from interspecific crosses influence the expression of species-specific traits in the shape of the male copulatory system. It can be assumed that sexual selection for specific genes associated with male traits implemented in the courtship ritual prevents the well-known effect of demasculinization of the X chromosome.
“…Modeling of ample experimental data has shown that well reproducible results are obtained with both of the models, none of them is possible to prefer over the other (Zhang, Hill, 2005). An analysis of QTLs for commercially valuable traits in farm animals supports well the conclusion that recessive variation maintained in a population plays an important role (Andersson, Georges, 2004;Hill, 2014;Zan et al, 2017). The majority of the traits are related to morphological and physiological characteristics affected by stabilizing selection.…”
The sex chromosomes of the parental species were tested for effect on trait dominance in the shape of the copulatory system in Drosophila virilis × D. lummei interspecific crosses. The origin of the sex chromosome and the paternal genotype were found to affect the trait dominance in D. lummei × D. virilis and backcross males heterozygous for autosomes. A correlated variability analysis showed that the two sex chromosomes exert unidirectional effects, shifting dominance towards the conspecific phenotype. The effect of the X chromosome is to a great extent determined by epigenetic factors associated with the paternal genotype.
“…We have earlier developed a multi locus approach to explore the genetic architecture of 326 highly polygenic traits and a detailed description of the approach is available in (Sheng et al 327 2015;Brandt et al 2017;Lillie et al 2017). In short, the method was designed to study traits 328 where earlier data suggest them to be polygenic in the analysed population.…”
Section: Multi-locus Backward Elimination Association Analysis 325mentioning
confidence: 99%
“…The additional burden of corrections also for 57 population structure decreases power further. By making combined use of powerful model 58 populations, and new analytical approaches accounting for the polygenic nature of complex 59 adaptive traits, it is possible to dissect polygenic genetic architecture with greater sensitivity 60 in order to facilitate deeper insights to the genetic basis of adaptive traits (Sheng,Pettersson,61 Honaker, Siegel, & Carlborg, 2015; Zan et al, 2017). These potent statistical methods have 62 so far not been adapted to analyses of natural populations, but could be useful also for 63 identifying the genetic mechanisms that govern adaptation for polygenic traits in nature.…”
26When a species adapts to a new habitat, selection for the fitness traits often result in a 27 confounding between genome-wide genotype and adaptive alleles. It is a major statistical 28 challenge to detect such adaptive polymorphisms if the confounding is strong, or the effects 29 of the adaptive alleles are weak. Here, we describe a novel approach to dissect polygenic 30 traits in natural populations. First, candidate adaptive loci are identified by screening for loci 31 that are directly associated to the trait or control the expression of genes known to affect it. 32Then, the multi-locus genetic architecture is inferred using a backward elimination 33 association analysis across all the candidate loci using an adaptive false-discovery rate based 34 threshold. Effects of population stratification are controlled by corrections for population 35 structure in the pre-screening step and by simultaneously testing all candidate loci in the 36 multi-locus model. We illustrate the method by exploring the polygenic basis of an important 37 adaptive trait, flowering time in Arabidopsis thaliana, using public data from the 1,001 38 genomes project. Our method revealed associations between 33 (29)
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