Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Curr Opin Genet Dev. 2022 Oct;76:101979. doi: 10.1016/j.gde.2022.101979. Epub 2022 Sep 5.
Expansion of sequencing efforts to include thousands of genomes is providing a fundamental resource for determining the genetic diversity that exists in a population. Now, high-throughput approaches are necessary to begin to understand the role these genotypic changes play in affecting phenotypic variation. Saccharomyces cerevisiae maintains its position as an excellent model system to determine the function of unknown variants with its exceptional genetic diversity, phenotypic diversity, and reliable genetic manipulation tools. Here, we review strategies and techniques developed in yeast that scale classic approaches of assessing variant function. These approaches improve our ability to better map quantitative trait loci at a higher resolution, even for rare variants, and are already providing greater insight into the role that different types of mutations play in phenotypic variation and evolution not just in yeast but across taxa.
测序工作的扩展包括数千个基因组，为确定种群中存在的遗传多样性提供了基础资源。现在，需要高通量方法来开始了解这些基因型变化在影响表型变异中所起的作用。酿酒酵母以其出色的遗传多样性、表型多样性和可靠的遗传操作工具，保持了作为确定未知变体功能的优秀模型系统的地位。在这里，我们回顾了在酵母中开发的策略和技术，这些技术扩展了评估变体功能的经典方法。这些方法提高了我们以更高分辨率更好地绘制数量性状位点的能力，即使是对于罕见变体，并且已经更深入地了解了不同类型的突变在表型变异和进化中的作用，不仅在酵母中，而且在整个分类群中。
