Université Paris-Saclay, INRAE, AgroParisTech, UMR Modélisation Systémique Appliquée aux Ruminants, 91120 Palaiseau, France.
GenPhySE, Université de Toulouse, INRAE, Institut National Polytechnique de Toulouse, École Nationale Vétérinaire de Toulouse, 31320 Castanet Tolosan, France.
J Dairy Sci. 2024 Oct;107(10):7756-7768. doi: 10.3168/jds.2023-23908. Epub 2024 Apr 11.
Understanding the extent to which genetics × environment plays a role in shaping individual strategies to environmental challenges is of considerable interest for future selection of more resilient animals. The objective of this study was to evaluate the metabolic responses of goats, selected for functional longevity, to a nutritional challenge. This evaluation was based on plasma metabolites and was repeated across 2 experimental farms over 2 years. We carried out 6 different experimental trials from 2018 to 2022 (4 trials on site Bourges, 2018-2021 and 2 trials on site Grignon, 2021-2022) in which 267 first kidding goats, daughters of Alpine bucks divergently selected for functional longevity, longevity plus (n = 137), and longevity minus (n = 130), were exposed to a 2-d nutritional challenge in early lactation. The experiments consisted of a 5 or 7-d control period (prechallenge) on a standard lactation diet followed by a 2-d nutritional challenge with straw-only feeding, and then a 7- or 10-d recovery period on a standard lactation diet, for site Bourges and Grignon, respectively. During the challenge plasma metabolite composition was measured. Linear mixed models were used to analyze all traits, considering the individual as a random effect and the 2 × 2 treatments (i.e., genetic line and year nested in site) and litter size as fixed effects. The linear mixed-effects model using a piecewise arrangement was used to analyze the response/recovery profiles to the nutritional challenge. The estimates of the random effect for each individual, using the mixed models without the fixed effects of genetic line, were used in a sparse partial least square discriminant analysis (sPLS-DA) to compare the goat metabolism response to the challenge on a multivariate scale. The plasma glucose, BHB, nonesterified fatty acids (NEFA), and urea concentrations significantly responded to the 2-d nutritional challenge. Selection for functional longevity did not affect plasma glucose, NEFA, BHB, and urea response/recoveries to a 2-d nutritional challenge. However, site, trial, and litter size significantly affected these responses. Moreover, the plasma metabolites seem not to fully recover to prechallenge levels after the recovery phase. The sPLS-DA analysis did not discriminate between the 2 longevity lines. We observed meaningful between-individuals variability in plasma BHB, especially on the prechallenge and rate of response and rate of recovery from the 2-d nutritional challenge (CV = 26.2%, 36.1%, and 41.2%, repeatability = 0.749, 0.322, and 0.741, respectively). Plasma NEFA recovery from challenge also demonstrated high between-individuals variability (CV = 16.4%, repeatability = 0.323). Selection for functional longevity did not affect plasma metabolites responses to a 2-d nutritional challenge in dairy goats. Plasma NEFA and BHB response and recovery presented high between-individuals variability, indicating that individual adaptative characteristics to nutritional challenges are not related to the environmental conditions but to inherent individual characteristics.
了解遗传与环境在多大程度上共同塑造个体对环境挑战的应对策略,对于未来选择更具弹性的动物具有重要意义。本研究的目的是评估经过功能性长寿选择的山羊在营养挑战下的代谢反应。这种评估基于血浆代谢物,并在两年内跨两个实验农场重复进行。我们进行了 6 项不同的实验,从 2018 年到 2022 年(2018-2021 年在布尔日现场进行 4 项试验,2021-2022 年在格里尼翁现场进行 2 项试验),267 只首次产羔的母羊,阿尔卑斯公山羊的女儿,选择功能性长寿、长寿加(n = 137)和长寿减(n = 130),在哺乳期初期接受了为期 2 天的营养挑战。实验包括为期 5 天或 7 天的对照期(预挑战),使用标准哺乳期饮食,然后是为期 2 天的仅喂稻草的营养挑战,随后是为期 7 天或 10 天的标准哺乳期饮食恢复期,分别针对布尔日和格里尼翁。在挑战期间测量了血浆代谢物组成。使用线性混合模型分析所有性状,将个体视为随机效应,并将 2×2 处理(即遗传系和嵌套在站点的年份)和产羔数作为固定效应进行考虑。使用分段排列的线性混合效应模型来分析对营养挑战的反应/恢复情况。使用不包含遗传系固定效应的混合模型对每个个体的随机效应进行估计,然后在多元尺度上使用稀疏偏最小二乘判别分析(sPLS-DA)比较山羊对挑战的代谢反应。血浆葡萄糖、BHB、非酯化脂肪酸(NEFA)和尿素浓度对 2 天的营养挑战有显著反应。选择功能性长寿并没有影响血浆葡萄糖、NEFA、BHB 和尿素对 2 天营养挑战的反应/恢复。然而,地点、试验和产羔数显著影响了这些反应。此外,在恢复阶段后,血浆代谢物似乎没有完全恢复到预挑战水平。sPLS-DA 分析不能区分这两种长寿系。我们观察到 BHB 等血浆代谢物在个体间存在有意义的变异性,尤其是在预挑战和对 2 天营养挑战的反应速度和恢复速度上(CV = 26.2%、36.1%和 41.2%,可重复性 = 0.749、0.322 和 0.741)。从挑战中恢复的血浆 NEFA 也表现出高度的个体间变异性(CV = 16.4%,可重复性 = 0.323)。选择功能性长寿并没有影响奶牛山羊对 2 天营养挑战的血浆代谢物反应。血浆 NEFA 和 BHB 的反应和恢复呈现出高度的个体间变异性,表明个体对营养挑战的适应特征与环境条件无关,而与个体固有特征有关。