Longitudinal genomic analyses of automatically-recorded vaginal temperature in lactating sows under heat stress conditions based on random regression models

IF 3.6 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Hui Wen, Jay S. Johnson, Pedro H. F. Freitas, Jacob M. Maskal, Leonardo S. Gloria, Andre C. Araujo, Victor B. Pedrosa, Francesco Tiezzi, Christian Maltecca, Yijian Huang, Allan P. Schinckel, Luiz F. Brito
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Abstract

Automatic and continuous recording of vaginal temperature (TV) using wearable sensors causes minimal disruptions to animal behavior and can generate data that enable the evaluation of temporal body temperature variation under heat stress (HS) conditions. However, the genetic basis of TV in lactating sows from a longitudinal perspective is still unknown. The objectives of this study were to define statistical models and estimate genetic parameters for TV in lactating sows using random regression models, and identify genomic regions and candidate genes associated with HS indicators derived from automatically-recorded TV. Heritability estimates for TV ranged from 0.14 to 0.20 over time (throughout the day and measurement period) and from 0.09 to 0.18 along environmental gradients (EG, − 3.5 to 2.2, which correspond to dew point values from 14.87 to 28.19 ˚C). Repeatability estimates of TV over time and along EG ranged from 0.57 to 0.66 and from 0.54 to 0.77, respectively. TV measured from 12h00 to 16h00 had moderately high estimates of heritability (0.20) and repeatability (0.64), indicating that this period might be the most suitable for recording TV for genetic selection purposes. Significant genotype-by-environment interactions (GxE) were observed and the moderately high estimates of genetic correlations between pairs of extreme EG indicate potential re-ranking of selection candidates across EG. Two important genomic regions on chromosomes 10 (59.370–59.998 Mb) and16 (21.548–21.966 Mb) were identified. These regions harbor the genes CDC123, CAMK1d, SEC61A2, and NUDT5 that are associated with immunity, protein transport, and energy metabolism. Across the four time-periods, respectively 12, 13, 16, and 10 associated genomic regions across 14 chromosomes were identified for TV. For the three EG classes, respectively 18, 15, and 14 associated genomic windows were identified for TV, respectively. Each time-period and EG class had uniquely enriched genes with identified specific biological functions, including regulation of the nervous system, metabolism and hormone production. TV is a heritable trait with substantial additive genetic variation and represents a promising indicator trait to select pigs for improved heat tolerance. Moderate GxE for TV exist, indicating potential re-ranking of selection candidates across EG. TV is a highly polygenic trait regulated by a complex interplay of physiological, cellular and behavioral mechanisms.
基于随机回归模型的热应激条件下泌乳母猪自动记录阴道温度的纵向基因组分析
使用可穿戴式传感器自动连续记录阴道温度(TV)对动物行为的干扰极小,并可生成数据,用于评估热应激(HS)条件下的时间体温变化。然而,从纵向角度来看,哺乳母猪体温变化的遗传基础仍然未知。本研究的目的是利用随机回归模型定义统计模型并估算泌乳母猪TV的遗传参数,同时确定与自动记录的TV得出的热应激指标相关的基因组区域和候选基因。随着时间的推移(全天和测量期),TV 的遗传率估计值在 0.14 至 0.20 之间,沿着环境梯度(EG,- 3.5 至 2.2,对应露点值 14.87 至 28.19 ˚C),TV 的遗传率估计值在 0.09 至 0.18 之间。TV 随时间变化和沿 EG 变化的重复性估计值分别为 0.57 至 0.66 和 0.54 至 0.77。12 时至 16 时测量的 TV 遗传率(0.20)和可重复性(0.64)估计值中等偏高,表明这段时间可能最适合记录 TV 以进行遗传选择。观察到基因型与环境之间存在显著的交互作用(GxE),而且一对极端 EG 之间的遗传相关性估计值中等偏高,这表明跨 EG 的候选基因有可能重新排序。在 10 号染色体(59.370-59.998 Mb)和 16 号染色体(21.548-21.966 Mb)上发现了两个重要的基因组区域。这些区域含有 CDC123、CAMK1d、SEC61A2 和 NUDT5 等与免疫、蛋白质运输和能量代谢有关的基因。在四个时间段中,分别在 14 条染色体上发现了 12、13、16 和 10 个与 TV 相关的基因组区域。在三个 EG 类别中,分别发现了 18、15 和 14 个与 TV 相关的基因组窗口。每个时间段和 EG 类别都有独特的富集基因,这些基因具有已确定的特定生物功能,包括调节神经系统、新陈代谢和激素分泌。TV 是一种遗传性状,具有大量的加性遗传变异,是一种很有前景的指标性状,可用于选择耐热性更好的猪。TV 存在适度的 GxE,这表明有可能对不同 EG 的候选猪进行重新排序。TV 是一个高度多基因性状,由复杂的生理、细胞和行为机制相互作用调节。
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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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