Efeito do gene receptor de prolactina sobre características quantitativas de interesse econômico em suínos

Alonso, Vivian; Santana, Bárbara Amélia Aparecida; Pirage, Waldesse; Goulart, Luiz Ricardo; Diniz, Heyder da Silva; Machaim, Maurício Franco; Borges, Graciele Segantini Nascimento

doi:10.1590/s1413-95962003000500008

Cited by 5 publications

(1 citation statement)

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“…Polymorphism of PRLR/AluI gene (dbSNP rs45435440) is considered mainly for the effect in terms of reproductive indexes. However, the studies of Alonso et al (2003;Do et al, 2012) demonstrated the effect of PRLR gene on fattening and meat quality of pigs. In our research of hybrids the influence of PRLR gene on meat quality was also found (Mihailov et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Polymorphisms in Several Porcine Genes are Associated with Growth Traits

Lyubov¹,

Kolosov²,

Леонова³

et al. 2016

American Journal of Animal and Veterinary Sciences

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The purpose of this study was to confirm the relation between polymorphism of POU1F1, GH, PRLR and MC4R genes and economically important traits of the Duroc pigs bred in Russia. Studies were carried out on purebred Duroc breed pigs (male n = 360). All pigs were kept under identical and standard conditions. The traits of analysis: The number of Days to 100-kg (Days to 100 kg), Average Daily Gain (ADG), Length of Body (LB) and Backfat Thickness (BF). The additive and dominance effects of genes were calculated. The signification effects were found for POU1F1 on LB (a = 0.75); GH on Days of 100 kg (a = 2.43), LB (d = 0.71); PRLR on Day of 100 kg (d = 1.11) and ADG (d =-29.73); MC4R on Days of 100 kg (a = 2.58; d = 2.49) and LD (d =-0.83). Our result showed the influence of POU1F1, GH, PRLR and MC4R on the growth trait and perceptivity of their use in breeding programs.

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Section: Introductionmentioning

confidence: 99%

Polymorphisms in Several Porcine Genes are Associated with Growth Traits

Lyubov¹,

Kolosov²,

Леонова³

et al. 2016

American Journal of Animal and Veterinary Sciences

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Detecção de locos de características quantitativas nos cromossomos 16, 17 e 18 de suínos

Paixão¹,

Guimarães

Filho³

et al. 2008

R. Bras. Zootec.

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RESUMO -Objetivou-se com este trabalho realizar o mapeamento de Locos de características quantitativas (QTL) nos cromossomo 16, 17 e 18 de suínos e associar seus efeitos com características de desempenho. Utilizou-se uma população F2 proveniente do cruzamento de dois varrões da raça naturalizada brasileira Piau com 18 fêmeas de linhagem comercial (Landrace × Large White × Pietrain). A população foi genotipada para 11 marcadores microssatélites e o mapa de ligação específico dos marcadores para a população foi construído. Os marcadores de microssatélites foram considerados adequados para estudos de características quantitativas quando analisado o conteúdo de informação polimórfica (PIC). Para identificação do QTL, utilizou-se o método de regressão por intervalo de mapeamento e realizaram-se as análises por meio do programa QTLExpress. Foram detectados QTL não descritos na literatura para: número de tetas no cromossomo 16; peso aos 63 e aos 77 dias de idade no cromossomo 17; e peso aos 21 dias e idade de abate no cromossomo 18. Foram também identificados QTL já descritos em outras populações, como para peso aos 21 dias de idade no SSC16. As informações dos QTL significativos encontrados servem para futuros estudos de mapeamento fino com identificação de genes e para maior entendimento dos fenótipos produtivos de suínos. Palavras-chave: análise genômica, população F2, produção de suínos Detection of QTL for production traits on swine chromosomes 16, 17 and 18ABSTRACT -The objectives of this study were to map Quantitative Trait Loci (QTL) in chromosomes 16, 17 and 18 and to associate their effects with performance traits in a F2 pig population developed by mating two Brazilian Piau sires with 18 crossbred dams (Landrace × Large White × Pietrain). The linkage map for this population was constructed after genotyping the animals for 11 microsatellite markers and scoring the genotype. Estimates of polymorphic information content (PIC) indicated that the microsatellite markers were appropriate for QTL analyses. Data were analyzed by interval mapping using the QTLEXPRESS program. New QTL were identified for teat number on SSC16, weight at 63 and 77 days of age on SSC17, weight at 21 days of age and slaughter age on SSC18. QTL already known in other populations were also identified for weight at 21 days of age on SSC16. The information of the significant QTL detected in this study is useful for future fine-mapping studies for identification of genes and to improve the knowledge about production traits in pig populations.

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