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反向胆固醇转运途径提高了对肉牛脂肪沉积和肌肉生长遗传网络的理解。

The reverse cholesterol transport pathway improves understanding of genetic networks for fat deposition and muscle growth in beef cattle.

机构信息

Department of Animal Sciences, Washington State University, Pullman, Washington, United States of America.

出版信息

PLoS One. 2010 Dec 3;5(12):e15203. doi: 10.1371/journal.pone.0015203.

Abstract

In the present study, thirteen genes involved in the reverse cholesterol transport (RCT) pathway were investigated for their associations with three fat depositions, eight fatty acid compositions and two growth-related phenotypes in a Wagyu x Limousin reference population, including 6 F(1) bulls, 113 F(1) dams, and 246 F(2) progeny. A total of 37 amplicons were used to screen single nucleotide polymorphisms (SNPs) on 6 F(1) bulls. Among 36 SNPs detected in 11 of these 13 genes, 19 were selected for genotyping by the Sequenom assay design on all F(2) progeny. Single-marker analysis revealed seven SNPs in ATP binding cassette A1, apolipoproteins A1, B and E, phospholipid transfer protein and paraoxinase 1 genes significantly associated with nine phenotypes (P<0.05). Previously, we reported genetic networks associated with 19 complex phenotypes based on a total of 138 genetic polymorphisms derived from 71 known functional genes. Therefore, after Bonferroni correction, these significant (adjusted P<0.05) and suggestive (adjusted P<0.10) associations were then used to identify genetic networks related to the RCT pathway. Multiple-marker analysis suggested possible genetic networks involving the RCT pathway for kidney-pelvic-heart fat percentage, rib-eye area, and subcutaneous fat depth phenotypes with markers derived from paraoxinase 1, apolipoproteins A1 and E, respectively. The present study confirmed that genes involved in cholesterol homeostasis are useful targets for investigating obesity in humans as well as for improving meat quality phenotypes in a livestock production.

摘要

在本研究中,我们调查了参与胆固醇逆转运(RCT)途径的 13 个基因与三个脂肪沉积、八个脂肪酸组成和两个生长相关表型之间的关系,该研究群体包括 6 头 F(1)公牛、113 头 F(1)母牛和 246 头 F(2)后代。我们总共使用了 37 个扩增子在 6 头 F(1)公牛上筛选单核苷酸多态性(SNP)。在这 13 个基因中的 11 个基因中检测到的 36 个 SNP 中,有 19 个 SNP 被选为所有 F(2)后代的Sequenom 检测设计进行基因分型。单标记分析显示,在 ATP 结合盒 A1、载脂蛋白 A1、B 和 E、磷脂转移蛋白和对氧磷酶 1 基因中,有 7 个 SNP 与 9 个表型显著相关(P<0.05)。之前,我们基于来自 71 个已知功能基因的 138 个遗传多态性,报道了与 19 个复杂表型相关的遗传网络。因此,在进行 Bonferroni 校正后,这些具有统计学意义的(调整后 P<0.05)和提示性的(调整后 P<0.10)关联被用于鉴定与 RCT 途径相关的遗传网络。多标记分析表明,涉及 RCT 途径的遗传网络可能与肾脏-骨盆-心脏脂肪百分比、眼肌面积和皮下脂肪深度表型有关,其标记分别来自对氧磷酶 1、载脂蛋白 A1 和 E。本研究证实,参与胆固醇稳态的基因是研究人类肥胖以及改善家畜生产中肉质表型的有用靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c89/2997077/a0c7614333fa/pone.0015203.g001.jpg

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