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Genomics and the global beef cattle industry. (Special Issue: Applied genomics for sustainable livestock breeding.)

机译:基因组学与全球肉牛产业。 (特刊:可持续畜牧业的应用基因组学。)

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After two decades of developing DNA-based tools for selection, we are at an interesting juncture. Genomic technology has essentially eliminated the potentially large negative impact of spontaneous single-mutation genetic defects as the management of recent examples in beef cattle have demonstrated. We have the ability to perform more accurate selection based on molecular breeding values (MBVs) for animals closely related to the discovery population. Yet the amount of genetic variation explained falls short of expectations held for the technology. Tests are less effective in distant relatives within a breed and are not robust enough for across-breed use. It is hypothesised that 'larger single-nucleotide polymorphism (SNP) panels' will help extend the effective use of tests to more distantly related animals and across breeds. Sequencing and imputing sequences across individuals will enable us to discover causative mutations or SNPs in perfect harmony with the mutation. However, the investment to revisit discovery populations will be large. We can ill afford to duplicate genotyping or sequencing activities for prominent individuals. Hence, a global strategy for genotyping and sequencing becomes an attractive proposition as many of our livestock populations are related. As we learned more of the complexities of the genome, the number of animals in discovery populations necessary to achieve high levels of predictability has grown dramatically. No one organisation has the resources to assemble the animals needed, especially for novel, expensive or hard to measure phenotypes. This scenario is fertile ground for increased international collaboration in all livestock species.Digital Object Identifier http://dx.doi.org/10.1071/AN11120
机译:经过二十多年的开发基于DNA的选择工具,我们正处于一个有趣的关头。基因组技术已从根本上消除了自发单突变遗传缺陷的潜在巨大负面影响,如对肉牛近期实例的管理所证明的那样。我们有能力根据与发现种群密切相关的动物的分子育种值(MBV)进行更准确的选择。然而,所解释的遗传变异数量未达到对该技术的预期。测试在一个品种的远亲中效果较差,并且不足以用于跨品种的测试。假设“更大的单核苷酸多态性(SNP)面板”将有助于将测试的有效使用扩展到与更远距离相关的动物以及跨品种。跨个体的测序和插补序列将使我们能够发现与突变完全协调的致病突变或SNP。但是,重访发现种群的投资将很大。我们无力为杰出人士重复基因分型或测序活动。因此,由于我们许多牲畜种群都有亲缘关系,因此基因分型和测序的全球策略成为一个有吸引力的提议。随着我们更多地了解基因组的复杂性,实现高水平可预测性所需的发现种群中的动物数量急剧增加。没有一个组织有资源来组装所需的动物,特别是对于新颖,昂贵或难以测量的表型。这种情况为在所有牲畜物种中加强国际合作奠定了沃土。数字对象标识符http://dx.doi.org/10.1071/AN11120

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