Cristian Anibal Moreno García, Susana Beatríz Perelman, Robyn Dynes, Thomas M R Maxwell, Huitong Zhou, Jonathan Hickford
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Our prior observational study has reported associations and trends towards associations between genotypes of the glutamate metabotropic receptor 5 gene (GRM5) and four GP-behaviours, yet the unbalanced representation of GRM5 genotypes occurring in observational studies may have limited the ability to detect associations. Here, we applied a subsampling technique to create a genotypically-balanced dataset in a quasi-manipulative experiment with free ranging cows grazing in steep and rugged terrain of New Zealand's South Island. Using quadratic discriminant analysis, two combinations of eleven GP-behaviours (and a total of fifteen behaviours) were selected to build an exploration model and an elevation model, respectively. Both models achieved ∼ 86% accuracy in correctly discriminating cows' GRM5 genotypes with the training dataset, and the exploration model achieved 85% correct genotype prediction of cows from a testing dataset. Our study suggests a potential pleiotropic effect, with GRM5 controlling multiple grazing behaviours, and with implications for the grazing of steep and rugged grasslands. 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引用次数: 0
摘要
在过去的十年中,牛基因组与放牧行为之间的基因型与表型关联在不同时间和不同环境下都有报道,这表明基因有可能控制肉牛的放牧性格。在用于描述放牧个性行为(GP-behaviours)的大量指标中,目前仍不清楚哪些指标与特定基因有关。我们之前的观察性研究报告了谷氨酸代谢受体 5 基因(GRM5)的基因型与四种 GP 行为之间的关联和关联趋势,但观察性研究中出现的 GRM5 基因型的不平衡可能限制了检测关联的能力。在这里,我们采用了一种子取样技术,在新西兰南岛陡峭崎岖的地形上对自由放牧的奶牛进行了一次准人工实验,以创建一个基因型平衡的数据集。通过二次判别分析,选取了 11 种 GP 行为(共 15 种行为)的两种组合,分别建立了探索模型和海拔模型。这两个模型对训练数据集奶牛 GRM5 基因型的正确判别准确率都达到了 86%,而探索模型对测试数据集奶牛基因型预测的正确率达到了 85%。我们的研究表明,GRM5控制多种放牧行为,具有潜在的多效应,对陡峭崎岖草地的放牧具有影响。这项研究强调了牛放牧行为遗传学的重要性,以及利用 GRM5 标记选择具有理想放牧个性的个体和建立可持续利用陡峭崎岖草场的牛群的可能性。
Key Grazing Behaviours of Beef Cattle Identify Specific Genotypes of the Glutamate Metabotropic Receptor 5 Gene (GRM5).
Genotype-phenotype associations between the bovine genome and grazing behaviours measured over time and across contexts have been reported in the past decade, with these suggesting the potential for genetic control over grazing personalities in beef cattle. From the large array of metrics used to describe grazing personality behaviours (GP-behaviours), it is still unclear which ones are linked to specific genes. Our prior observational study has reported associations and trends towards associations between genotypes of the glutamate metabotropic receptor 5 gene (GRM5) and four GP-behaviours, yet the unbalanced representation of GRM5 genotypes occurring in observational studies may have limited the ability to detect associations. Here, we applied a subsampling technique to create a genotypically-balanced dataset in a quasi-manipulative experiment with free ranging cows grazing in steep and rugged terrain of New Zealand's South Island. Using quadratic discriminant analysis, two combinations of eleven GP-behaviours (and a total of fifteen behaviours) were selected to build an exploration model and an elevation model, respectively. Both models achieved ∼ 86% accuracy in correctly discriminating cows' GRM5 genotypes with the training dataset, and the exploration model achieved 85% correct genotype prediction of cows from a testing dataset. Our study suggests a potential pleiotropic effect, with GRM5 controlling multiple grazing behaviours, and with implications for the grazing of steep and rugged grasslands. The study highlights the importance of grazing behavioural genetics in cattle and the potential use of GRM5 markers to select individuals with desired grazing personalities and built herds that collectively utilize steep and rugged rangelands sustainably.
期刊介绍:
Behavior Genetics - the leading journal concerned with the genetic analysis of complex traits - is published in cooperation with the Behavior Genetics Association. This timely journal disseminates the most current original research on the inheritance and evolution of behavioral characteristics in man and other species. Contributions from eminent international researchers focus on both the application of various genetic perspectives to the study of behavioral characteristics and the influence of behavioral differences on the genetic structure of populations.