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首页> 外文期刊>Bulletin of the Aquaculture Association of Canada >A new era: the merging of quantitative and molecular genetics - prospects for aquaculture breeding programs.
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A new era: the merging of quantitative and molecular genetics - prospects for aquaculture breeding programs.

机译:一个新时代:定量和分子遗传学的融合-水产养殖育种计划的前景。

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摘要

Traditionally, selective breeding has been the method of choice for improving broodstock, both in terrestrial and aquatic animal production. Considerable improvements have been achieved for most species when sound base populations have been established and appropriate selection methods have been applied. This approach, however, is based more or less on a theoretical "black box" in terms of understanding the concrete bridge between single genes and phenotypic expression. In parallel, there is an ongoing revolution within experimental biology, and enormous amounts of data are produced. The sequencing of whole genomes has given new possibilities. For example, micro-array technology makes it possible to measure genome-wide expression levels simultaneously. In addition, genetic markers are widely developed and used. Marker-data in itself can be analysed with the traditional models to find so called QTLs. However, the traditional model of gene action, which is based on additivity, is not well suited for handling data on the levels of mRNA or proteins, as these are expressions of a dynamic system of interacting genes, rather than independent effects. Thus, new gene-regulatory models have to be developed. Traditional selective breeding will remain a "main engine" in breeding programs in the foreseeable future, but the enormous amount of new experimental data and new gene technological tools require a whole new modelling concept for further refinement of our genetic improvement efforts. This will also require specific physiological, biological and hands-on knowledge for each species, and multidisciplinary research networks..
机译:传统上,在陆地和水生动物生产中,选择育种都是改善亲虾的选择方法。建立健全的基础种群并采用适当的选择方法后,大多数物种已取得了相当大的进步。然而,这种方法或多或少地基于理论上的“黑匣子”,以理解单个基因与表型表达之间的具体桥梁。同时,实验生物学领域正在进行一场革命,并产生了大量数据。整个基因组的测序提供了新的可能性。例如,微阵列技术使同时测量全基因组表达水平成为可能。另外,遗传标记被广泛开发和使用。标记数据本身可以使用传统模型进行分析,以找到所谓的QTL。但是,基于加性的传统基因作用模型不适用于处理mRNA或蛋白质水平的数据,因为它们是相互作用基因动态系统的表达,而不是独立的作用。因此,必须开发新的基因调节模型。在可预见的将来,传统的选择性育种仍将是育种计划的“主要引擎”,但是大量的新实验数据和新基因技术工具需要全新的建模概念,以进一步完善我们的遗传改良工作。这也将需要每种物种的特定生理,生物学和动手知识以及多学科研究网络。

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