首页> 美国卫生研究院文献>Genome Biology and Evolution >Old Trade New Tricks: Insights into the Spontaneous Mutation Process from the Partnering of Classical Mutation Accumulation Experiments with High-Throughput Genomic Approaches
【2h】

Old Trade New Tricks: Insights into the Spontaneous Mutation Process from the Partnering of Classical Mutation Accumulation Experiments with High-Throughput Genomic Approaches

机译:旧贸易新技巧:结合经典突变积累实验与高通量基因组方法了解自发突变过程

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Mutations spawn genetic variation which, in turn, fuels evolution. Hence, experimental investigations into the rate and fitness effects of spontaneous mutations are central to the study of evolution. Mutation accumulation (MA) experiments have served as a cornerstone for furthering our understanding of spontaneous mutations for four decades. In the pregenomic era, phenotypic measurements of fitness-related traits in MA lines were used to indirectly estimate key mutational parameters, such as the genomic mutation rate, new mutational variance per generation, and the average fitness effect of mutations. Rapidly emerging next-generating sequencing technology has supplanted this phenotype-dependent approach, enabling direct empirical estimates of the mutation rate and a more nuanced understanding of the relative contributions of different classes of mutations to the standing genetic variation. Whole-genome sequencing of MA lines bears immense potential to provide a unified account of the evolutionary process at multiple levels—the genetic basis of variation, and the evolutionary dynamics of mutations under the forces of selection and drift. In this review, we have attempted to synthesize key insights into the spontaneous mutation process that are rapidly emerging from the partnering of classical MA experiments with high-throughput sequencing, with particular emphasis on the spontaneous rates and molecular properties of different mutational classes in nuclear and mitochondrial genomes of diverse taxa, the contribution of mutations to the evolution of gene expression, and the rate and stability of transgenerational epigenetic modifications. Future advances in sequencing technologies will enable greater species representation to further refine our understanding of mutational parameters and their functional consequences.
机译:突变会产生遗传变异,进而推动进化。因此,对自发突变的发生率和适应性影响的实验研究是进化研究的核心。突变累积(MA)实验已成为进一步了解自发突变的基础,已有40年了。在前基因组时代,MA系中适应性相关性状的表型测量被用来间接估计关键的突变参数,例如基因组突变率,每代新的突变方差以及突变的平均适应度。迅速出现的下一代测序技术已经取代了这种依赖于表型的方法,从而可以对突变率进行直接的经验估计,并且可以更加细致地了解不同类别的突变对常规遗传变异的相对贡献。 MA系的全基因组测序具有巨大的潜力,可以在多个水平上提供进化过程的统一说明-变异的遗传基础,以及在选择和漂移的作用下突变的进化动力学。在这篇综述中,我们尝试综合了自发突变过程的关键见解,这些见解是从经典的MA实验与高通量测序的合作中迅速形成的,尤其着重于核和生物中不同突变类别的自发率和分子性质。各种分类单元的线粒体基因组,突变对基因表达进化的贡献以及跨代表观遗传修饰的速率和稳定性。测序技术的未来发展将使更大的物种代表性能够进一步完善我们对突变参数及其功能后果的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号