绵羊基因组选择性扫描的整合:了解生产和适应性状之间的关系

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Pablo A. S. Fonseca, Aroa Suárez-Vega, Juan J. Arranz, Beatriz Gutiérrez-Gil
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引用次数: 0

摘要

出于不同的选择目的,牲畜种群不断受到提高生产力水平的选择性压力。这种压力导致选择具有独特适应性和生产特征的动物。对与这些独特特征相关的基因组区域进行研究,有可能提高有关适应过程及其与生产水平和恢复力(即动物适应压力或平衡失调的能力)之间关系的生物学知识。绵羊是一个在其历史上受到过多次自然和人工选择性压力的物种,这导致其成为一个在生产和适应挑战性环境方面高度专业化的物种。在此,我们整合了多项旨在绘制与生产和适应性状相关的绵羊基因组选择性扫描图谱的研究数据,以确定已证实的选择性扫描(CSS)。总共有 37 项研究确定了绵羊基因组中的 518 个 CSS,并根据各类相关研究的频率将其分为生产型 CSS(147 个 prodCSS)和适应型 CSS(219 个 adapCSS)。CSS 中的基因与适应和生产的相关生物过程有关。例如,对于适应CSS,相关基因与季节性控制、昼夜节律和体温调节有关。另一方面,与prodCSS相关的基因则与控制摄食行为、繁殖和细胞分化有关。此外,含有prodCSS和adapCSS的基因与脂质代谢有着有趣的联系,这表明脂质代谢过程在调节这两类性状之间的多效性效应中可能发挥作用。本研究的发现有助于加深对绵羊品种生产力和适应性之间遗传联系的理解。这些信息有助于深入了解这两类性状之间不良遗传相关性的遗传机制,并为更好地理解抗逆性作为一种积极应对环境压力的能力铺平了道路,这种能力可将对生产水平的负面影响降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of selective sweeps across the sheep genome: understanding the relationship between production and adaptation traits
Livestock populations are under constant selective pressure for higher productivity levels for different selective purposes. This pressure results in the selection of animals with unique adaptive and production traits. The study of genomic regions associated with these unique characteristics has the potential to improve biological knowledge regarding the adaptive process and how it is connected to production levels and resilience, which is the ability of an animal to adapt to stress or an imbalance in homeostasis. Sheep is a species that has been subjected to several natural and artificial selective pressures during its history, resulting in a highly specialized species for production and adaptation to challenging environments. Here, the data from multiple studies that aim at mapping selective sweeps across the sheep genome associated with production and adaptation traits were integrated to identify confirmed selective sweeps (CSS). In total, 37 studies were used to identify 518 CSS across the sheep genome, which were classified as production (147 prodCSS) and adaptation (219 adapCSS) CSS based on the frequency of each type of associated study. The genes within the CSS were associated with relevant biological processes for adaptation and production. For example, for adapCSS, the associated genes were related to the control of seasonality, circadian rhythm, and thermoregulation. On the other hand, genes associated with prodCSS were related to the control of feeding behaviour, reproduction, and cellular differentiation. In addition, genes harbouring both prodCSS and adapCSS showed an interesting association with lipid metabolism, suggesting a potential role of this process in the regulation of pleiotropic effects between these classes of traits. The findings of this study contribute to a deeper understanding of the genetic link between productivity and adaptability in sheep breeds. This information may provide insights into the genetic mechanisms that underlie undesirable genetic correlations between these two groups of traits and pave the way for a better understanding of resilience as a positive ability to respond to environmental stressors, where the negative effects on production level are minimized.
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来源期刊
Genetics Selection Evolution
Genetics Selection Evolution 生物-奶制品与动物科学
CiteScore
6.50
自引率
9.80%
发文量
74
审稿时长
1 months
期刊介绍: Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.
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