首页> 外文期刊>Journal of Animal Science >Assessment of DGAT1 and LEP gene polymorphisms in three Nelore (Bos indicus) lines selected for growth and their relationship with growth and carcass traits1
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Assessment of DGAT1 and LEP gene polymorphisms in three Nelore (Bos indicus) lines selected for growth and their relationship with growth and carcass traits1

机译:评估三个选择生长的Nelore(Bos indicus)品系的DGAT1和LEP基因多态性及其与生长和and体性状的关系1

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摘要

The aim of this study was to analyze LEP and DGAT1 gene polymorphisms in 3 Nelore lines selected for growth and to evaluate their effects on growth and carcass traits. Traits analyzed were birth, weaning, and yearling weight, rump height, LM area, backfat thickness, and rump fat thickness obtained by ultrasound. Two SNP in the LEP gene [LEP 1620(A/G) and LEP 305(T/C)] and the K232A mutation in the DGAT1 gene were analyzed. The sample consisted of 357 Nelore heifers from 2 lines selected for yearling weight and a control line, established in 1980, at the Estacao Experimental de Zootecnia de Sertaozinho (Sertaozinho, Brazil). Three genotypes were obtained for each marker. Differences in allele frequencies among the 3 lines were only observed for the DGAT1 K232A polymorphism, with the frequency of the A allele being greater in the control line than in the selected lines. The DGAT1 K232A mutation was associated only with rump height, whereas LEP 1620(A/G) was associated with weaning weight and LEP 305(T/C) with birth weight and backfat thickness. However, more studies, with larger data sets, are necessary before these makers can be used for marker-assisted selection. [PUBLICATION ABSTRACT]
机译:这项研究的目的是分析3种选择用于生长的Nelore品系的LEP和DGAT1基因多态性,并评估它们对生长和car体性状的影响。分析的特征是通过超声获得的出生,断奶和一岁体重,臀高,LM面积,背脂厚度和臀脂肪厚度。分析了LEP基因[LEP 1620(A / G)和LEP 305(T / C)]中的两个SNP和DGAT1基因中的K232A突变。该样品由2根按一岁体重选择的品系和1980年在埃斯塔卡实验动物园(Sertaozinho,巴西的Sertaozinho)建立的357羽Nelore小母牛组成。每个标记获得了三种基因型。仅对于DGAT1 K232A多态性,观察到了3个系之间的等位基因频率差异,在对照系中A等位基因的频率大于在选定系中。 DGAT1 K232A突变仅与臀高相关,而LEP 1620(A / G)与断奶体重相关,LEP 305(T / C)与出生体重和后脂肪厚度相关。但是,在将这些标记物用于标记辅助选择之前,需要进行更多的研究,使用更大的数据集。 [出版物摘要]

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