Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/30950
Tipo: Artigo
Título: Polymorphism of the BCO2 gene and the content of carotenoids, retinol, and α-tocopherol in the liver and fat of rabbits
Autor(es): Strychalski, Janusz
Gugołek, Andrzej
Brym, Paweł
Antoszkiewicz, Zofia
Chwastowska-Siwiecka, Iwona
Abstract: The study was carried out to evaluate the effect of AAT-deletion mutation at codon 248 of the BCO2 gene on the content of lutein, β-carotene, retinol, and α-tocopherol in the liver and fat of crossbred rabbits. The experimental animals comprised 90 rabbits, produced by reciprocal crossing between ins/del heterozygous parents of Flemish Giant, New Zealand Red, and Termond White breeds. All rabbits in the litter were genotyped, given the same diet, and finally slaughtered at 140 d of age. It was found that regardless of the mating scheme employed, all del/del homozygotes had the yellow fat trait, whereas heterozygous and homozygotes animals without the AAT deletion (ins/ins) developed white fat. Lutein concentration in fat was over 13-fold higher in rabbits carrying a homozygous AAT-deletion than in the remaining animals. A codon deletion in the BCO2 gene also contributes to an increase in the concentrations of β-carotene and α-tocopherol in the adipose tissue of rabbits. However, no differences were observed in the content of the analyzed components between heterozygous and homozygous rabbits without the deletion
Palavras-chave: adipose tissue
carotenoids
rabbit
vitamins
Editor: Brazilian Journal of Animal Science
Citação: Strychalski, J.; Gugołek, A.; Brym, P.; Antoszkiewicz, Z. and Chwastowska-Siwiecka, I. 2019. Polymorphism of the BCO2 gene and the content of carotenoids, retinol, and α-tocopherol in the liver and fat of rabbits. Revista Brasileira de Zootecnia 48:e20180243
Tipo de Acesso: Creative Commons Attribution License
Identificador DOI: https://doi.org/10.1590/rbz4820180243
URI: https://locus.ufv.br//handle/123456789/30950
Data do documento: 2-Mai-2019
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