Department of Plant and Microbial Biology, UC Berkeley, Berkeley, CA.
Fred Hutchinson Cancer Research Center, Seattle, WA.
G3 (Bethesda). 2020 Jun 1;10(6):2079-2085. doi: 10.1534/g3.120.401304.
Large population-genomic sequencing studies can enable highly-powered analyses of sequence signatures of natural selection. Genome repositories now available for yeast make it a premier model for studies of the molecular mechanisms of adaptation. We mined the genomes of hundreds of isolates of the sister species and to identify sequence hallmarks of adaptive divergence between the two. From the top hits we focused on a set of genes encoding membrane proteins of the peroxisome, an organelle devoted to lipid breakdown and other specialized metabolic pathways. In-depth population- and comparative-genomic sequence analyses of these genes revealed striking divergence between and And from transcriptional profiles we detected non-neutral, directional -regulatory variation at the peroxisome membrane genes, with overall high expression in relative to Taken together, these data support a model in which yeast species have differentially tuned the expression of peroxisome components to boost their fitness in distinct niches.
大规模的全基因组测序研究可以对自然选择的序列特征进行高强度分析。现在可用于酵母的基因组存储库使其成为研究适应分子机制的首选模型。我们挖掘了姐妹种 和 的数百个分离株的基因组，以确定这两个物种之间适应性分歧的序列特征。从排名靠前的基因中，我们重点关注了一组编码过氧化物酶体膜蛋白的基因，过氧化物酶体是专门用于脂质分解和其他特殊代谢途径的细胞器。对这些基因进行深入的群体和比较基因组序列分析显示， 和 之间存在惊人的差异。从转录谱中，我们检测到过氧化物酶体膜基因的非中性、定向调控变异，总体上 中的表达水平高于 。总的来说，这些数据支持这样一种模型，即酵母物种已经对过氧化物酶体成分的表达进行了差异化调节，以提高它们在不同小生境中的适应性。
