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用于理解鸡低-高饲料效率性状的 OMICS 方法和技术:对育种的启示。

OMICs approaches and technologies for understanding low-high feed efficiency traits in chicken: implication to breeding.

机构信息

School of Biological Sciences and Biotechnology, College of Natural and Computational Sciences, Haramaya University, Dire Dawa, Ethiopia.

Department of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, Adama, Ethiopia.

出版信息

Anim Biotechnol. 2023 Dec;34(8):4147-4166. doi: 10.1080/10495398.2023.2187404. Epub 2023 Mar 16.

Abstract

In poultry production, there has been a trend of continuous increase in cost of feed ingredients which represents the major proportion of the production costs. Feed costs can be reduced by improving feed efficiency traits which increase the possibility of using various indigestible feed sources and decrease the environmental impact of the enhanced poultry production. Therefore, feed efficiency has been used as one of the most important economic traits of selection in the breeding program of chickens. Recently, many OMICs experimental studies have been designed to characterize biological differences between the high and low feed efficiency chicken phenotypes. Biological complexity cannot be fully captured by main individual OMICs such as genomics, transcriptomics, proteomics and metabolomics. Therefore, researchers have combined multiple assays from the same set of samples to create multi-OMICs datasets. OMICs findings are crucial in improving existing approaches to poultry breeding. The current review aimed to highlight the components of feed efficiency and general OMICs approaches and technologies. Besides, individual and multi-OMICs based understanding of chicken feed efficiency traits and the application of the acquired knowledge in the chicken breeding program were addressed.

摘要

在禽类养殖中,饲料成分的成本一直在持续增加,其在生产成本中占比最大。通过提高饲料效率性状,可以降低饲料成本,这增加了使用各种不可消化饲料来源的可能性,并降低了增强禽类生产的环境影响。因此,饲料效率已被用作鸡种选育计划中最重要的经济性状之一。最近,许多 OMICs 实验研究旨在描述高饲料效率和低饲料效率鸡表型之间的生物学差异。生物学复杂性不能仅通过单个 OMICs (如基因组学、转录组学、蛋白质组学和代谢组学)来充分捕捉。因此,研究人员结合了来自同一组样本的多个检测方法来创建多 OMICs 数据集。OMICs 的研究结果对于改进现有的家禽育种方法至关重要。本综述旨在强调饲料效率的组成部分以及一般的 OMICs 方法和技术。此外,还讨论了基于单个和多 OMICs 的鸡饲料效率性状的理解,以及所获得的知识在鸡种选育计划中的应用。

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