Study of swine alpha-macroglobulin gene-family polymorphism in the context of some problems of animal breeding

Yermolaev, V. I.; Savina, M. A.; Knyazev, S. P.; Yudin, N. A.; Aitnazarov, R. B.; Bekenev, V. A.; Deeva, V. S.; Nikitin, S. V.

doi:10.1134/s2079059713030040

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Polymorphic Lpm genes are associated with the behavioral genes located in the same chromo some. Earlier, we found that the Lpm locus is localized in mink chromosome 9, which is homologous to human chromosome 12 (Yermolaev et al, 1989), the gene structure of which is known and sufficiently sim ilar in many mammalian species, including pigs (Yermolaev et al, 2013). It can be assumed that, in mink, this set does not differ significantly from humans.…”

Section: Discussionmentioning

confidence: 91%

Selection for behavior and correlation with the macroglobuline and lypoproteine systems in the American mink (Neovison vison)

Yermolaev

Savina

Yudin

et al. 2014

Russ J Genet Appl Res

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A population genetic comparison between mink populations with tame and aggressive behavior was performed. Six allotypes of the Lpm system, the AIM alpha macroglobulin, and two allotypes of the Ld system, a homologue of APOB low density lipoprotein, were analyzed. The pairwise compared groups dif fered in markers Lpml, Lpm3, Lpm5, and Lpm10. Alleles with allotypes Lpml and Lpm3 were significantly associated with aggressive behavior, whereas allele Lpm non 10 was associated tame behavior. No statistically significant differences in the frequencies of Ldl and Ld2 allotypes of the Ld low density lipoprotein system have been found.Keywords: American mink, Neovison vison, polymorphism in the Lpm = AM family, Ld = APOB, allotypes, tame and aggressive behavior

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Section: Discussionmentioning

confidence: 91%

Selection for behavior and correlation with the macroglobuline and lypoproteine systems in the American mink (Neovison vison)

Yermolaev

Savina

Yudin

et al. 2014

Russ J Genet Appl Res

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“…However, the qualitative traits are mostly estimated as more simple because of a strong concordance of each specific genotype to a single phenotype according to the «one genotype-one phenotype» principle. For long time of our studying variations of qualitative traits the results of both practical and theoretical interest have been obtained (13)(14)(15)(16)(17). Importantly, once the quantitative trait changes were first statistically analyzed, a number of genetic determinations peculiar specifically to domestic animals were found out (18).…”

Section: Introductionmentioning

confidence: 99%

Changes of Vectors of Selection for Piglet's Newborn Weight During Population Formation in New Environment Conditions

Knyazev¹,

Nikitin²

2014

S-h. biol.

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A b s t r a c tStudying changes of gene pools of populations of the domestic animals caused by selection and reflecting micro evolutionary processes, represents both practical and theoretical interest. As a rule, in such works the qualitative traits controlled by the principle «one genotype -one phenotype» are used that significantly simplifies the analysis. We investigated dynamic processes in Landrace population of domestic pigs (Sus scrofa domesticus), having estimated a variation of one of continuous quantitative traits, the newborn piglet weight, for which similar relationship is not unambiguous. Statistical analysis of the zootechnical register data was carried out on more than 26 thousand pigs that were born within 23 years at an experimental farm (Novosibirsk Province), being the regional authorized Landrace breed nucleus. Ancestors of the formed population were delivered from Latvia in the early 1960s. They were the elite young animals estimated on a standard complex of selection traits. The entire period of existence of population the formation of its breeding nuclear was carried out on a complex of traits according to existing Instruction for estimation of breeding value of pigs. As the Instruction didn't contain standards on a large newborn weight, the selection on the specified trait wasn't made. The changes of statistical parameters of the newborn weight in piglets were estimated for each year of the observation, because the analyzed livestock was not a model laboratory population, but a typical breeding commercial herd in which continuous variability of a trait is interfaced to continuous «sliding» alternations of generations and the variability of age structure. During long-time analysis of the dynamics of this unselected trait, the directional (moving) selection on genotypes for the loci controlling growth rate of pigs in ontogenesis (in pre-and post-natal periods) is revealed. In the populations where such selection works, the newborn weight of piglets can be used for forecasting pig weight during the postnatal period. Application of «parent-descendant» regression on the newborn weight allowed to estimate the duration of a population gene pool adaptation to new environment. It appeared that process of adaptation lasted nearly two decades that made five full changes of the generations. In the same population at the same time the stabilizing selection optimized an individual animal weight at birth, cutting both minimum and maximum values. The described mechanism includes cyclic vector changes towards driving selection against the stabilizing selection vectors and thus maintains the population polymorphism on loci which control prenatal growth and large weight in the newborns. An observed unevenness of wavy change of these cycles should be also noted.

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Study of swine alpha-macroglobulin gene-family polymorphism in the context of some problems of animal breeding

Cited by 2 publications

References 11 publications

Selection for behavior and correlation with the macroglobuline and lypoproteine systems in the American mink (Neovison vison)

Selection for behavior and correlation with the macroglobuline and lypoproteine systems in the American mink (Neovison vison)

Changes of Vectors of Selection for Piglet's Newborn Weight During Population Formation in New Environment Conditions

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