探索肉牛汗腺特性的遗传控制,以提高耐热性。

IF 6.3 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Science and Biotechnology Pub Date : 2024-05-08 DOI:10.1186/s40104-024-01025-4
Aakilah S Hernandez, Gabriel A Zayas, Eduardo E Rodriguez, Kaitlyn M Sarlo Davila, Fahad Rafiq, Andrea N Nunez, Cristiane Gonçalves Titto, Raluca G Mateescu
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引用次数: 0

摘要

背景:亚热带地区的热应激是限制肉牛生产系统的一个主要因素,每年因肉牛生产性能下降造成的损失约为 3.69 亿美元。热应激会导致多种生理和行为紊乱,包括采食量减少和生产水平下降。牛利用出汗等各种生理机制来调节体内热量。这些性状的变异有助于确定控制汗腺特性的遗传变异,从而在遗传上选育出耐热性更强的牛:本研究使用了来自佛罗里达州两个商业牧场的 2401 头布兰格斯牛。通过皮肤活检计算出了有助于提高动物热应激管理能力的精确表型,包括汗腺面积、汗腺深度和汗腺长度。所有动物都用牛 GGP F250K 进行了基因分型,并使用 BLUPF90 软件估算遗传参数和进行全基因组关联研究:结果:汗腺表型遗传率在 0.17 至 0.42 之间,表明表型变异的中等程度是由遗传引起的,这使生产者有能力选择有利的汗腺特性。利用滑动 10 kb 窗口进行的加权单步 GWAS 发现了多个数量性状基因座(QTL),这些基因座解释了大量的遗传变异。位于BTA7和BTA12上的QTL解释了超过1.0%的遗传变异,分别与ADGRV1和CCDC168基因重叠。本研究发现的变异与免疫功能和细胞增殖过程有关,可能与热管理有关。利用混血种群中的地方祖先(LAMP-LD)预测了原产地等位基因(BOA),从而确定了标记物的祖先是婆罗门还是安格斯。进行了 BOA 基因组分析,以确定可能对汗腺表型有重大影响的特定祖先品种遗传区域:BOA GWAS 的结果表明,布拉赫曼和安格斯等位基因对汗腺性状都有积极的影响,从这两种遗传背景中观察到的有利标记效应就证明了这一点。了解并利用能提高耐热性的遗传特征是应对气候变化对畜牧业影响的一种积极方法。
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Exploring the genetic control of sweat gland characteristics in beef cattle for enhanced heat tolerance.

Background: Thermal stress in subtropical regions is a major limiting factor in beef cattle production systems with around $369 million being lost annually due to reduced performance. Heat stress causes numerous physiological and behavioral disturbances including reduced feed intake and decreased production levels. Cattle utilize various physiological mechanisms such as sweating to regulate internal heat. Variation in these traits can help identify genetic variants that control sweat gland properties and subsequently allow for genetic selection of cattle with greater thermotolerance.

Methods: This study used 2,401 Brangus cattle from two commercial ranches in Florida. Precise phenotypes that contribute to an animal's ability to manage heat stress were calculated from skin biopsies and included sweat gland area, sweat gland depth, and sweat gland length. All animals were genotyped with the Bovine GGP F250K, and BLUPF90 software was used to estimate genetic parameters and for Genome Wide Association Study.

Results: Sweat gland phenotypes heritability ranged from 0.17 to 0.42 indicating a moderate amount of the phenotypic variation is due to genetics, allowing producers the ability to select for favorable sweat gland properties. A weighted single-step GWAS using sliding 10 kb windows identified multiple quantitative trait loci (QTLs) explaining a significant amount of genetic variation. QTLs located on BTA7 and BTA12 explained over 1.0% of genetic variance and overlap the ADGRV1 and CCDC168 genes, respectively. The variants identified in this study are implicated in processes related to immune function and cellular proliferation which could be relevant to heat management. Breed of Origin Alleles (BOA) were predicted using local ancestry in admixed populations (LAMP-LD), allowing for identification of markers' origin from either Brahman or Angus ancestry. A BOA GWAS was performed to identify regions inherited from particular ancestral breeds that might have a significant impact on sweat gland phenotypes.

Conclusions: The results of the BOA GWAS indicate that both Brahman and Angus alleles contribute positively to sweat gland traits, as evidenced by favorable marker effects observed from both genetic backgrounds. Understanding and utilizing genetic traits that confer better heat tolerance is a proactive approach to managing the impacts of climate change on livestock farming.

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