基因表达研究在畜牧生产系统中的应用:欧洲视角

I. Cassar-Malek, B. Picard, C. Bernard, J. Hocquette
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引用次数: 46

摘要

在可持续农业和畜牧业的背景下,了解动物生理学仍然是牲畜育种和生产中的一个主要挑战,特别是在开发能够满足新的和多样化消费者需求的动物养殖系统方面。生理过程依赖于许多协同作用的基因的表达。近年来,人们在研究基因表达的控制机制及其受生物和外部因素(如遗传决定因素、营养因素和动物管理)的调控方面付出了相当大的努力。已经发展了两种主要的策略来识别重要的基因。第一个集中在转录本和蛋白质水平上的关键生理途径的候选基因的表达。随着基因组学的出现,通过使用高通量技术(例如转录组学和蛋白质组学)检查所有基因和蛋白质的分子特征来解决相同问题的原始策略已经出现。本文综述了基因表达研究在畜牧生产系统中的应用。介绍了基因组学应用于牲畜生产系统的一些实际例子(例如,优化动物营养、肉质或动物管理),并考虑了它们的结果。在未来,整合从这些研究中获得的知识将最终通过发现理想的动物并将其整合到准确的育种计划或创新的管理系统中来优化畜牧生产系统。
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Application of gene expression studies in livestock production systems: a European perspective
In the context of sustainable agriculture and animal husbandry, understanding animal physiology remains a major challenge in the breeding and production of livestock, especially to develop animal farming systems that respond to the new and diversified consumer demand. Physiological processes depend on the expression of many genes acting in concert. Considerable effort has been expended in recent years on examining the mechanisms controlling gene expression and their regulation by biological and external factors (e.g. genetic determinants, nutritional factors, and animal management). Two main strategies have been developed to identify important genes. The first one has focussed on the expression of candidate genes for key physiological pathways at the level of both the transcripts and proteins. An original strategy has emerged with the advent of genomics that addresses the same issues through the examination of the molecular signatures of all genes and proteins using high-throughput techniques (e.g. transcriptomics and proteomics). In this review, the application of the gene expression studies in livestock production systems is discussed. Some practical examples of genomics applied to livestock production systems (e.g. to optimise animal nutrition, meat quality or animal management) are presented, and their outcomes are considered. In the future, integration of the knowledge gained from these studies will finally result in optimising livestock production systems through detection of desirable animals and their integration into accurate breeding programs or innovative management systems.
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