Long Anthony, Liti Gianni, Luptak Andrej, Tenaillon Olivier
Department of Ecology and Evolutionary Biology, University of California, Irvine, California 92697, USA.
Institute for Research on Cancer and Ageing of Nice (IRCAN), Centre national de la recherche scientifique (CNRS) Unité Mixte de Recherche (UMR) 7284 - Institut National de la Santé et de la Recherche Médicale (INSERM) U1081 - Université de Nice Sophia Antipolis, 06107 Nice, France.
Nat Rev Genet. 2015 Oct;16(10):567-82. doi: 10.1038/nrg3937. Epub 2015 Sep 8.
Evolve and resequence (E&R) experiments use experimental evolution to adapt populations to a novel environment, then next-generation sequencing to analyse genetic changes. They enable molecular evolution to be monitored in real time on a genome-wide scale. Here, we review the field of E&R experiments across diverse systems, ranging from simple non-living RNA to bacteria, yeast and the complex multicellular organism Drosophila melanogaster. We explore how different evolutionary outcomes in these systems are largely consistent with common population genetics principles. Differences in outcomes across systems are largely explained by different starting population sizes, levels of pre-existing genetic variation, recombination rates and adaptive landscapes. We highlight emerging themes and inconsistencies that future experiments must address.
进化与重测序(E&R)实验利用实验进化使种群适应新环境,然后通过新一代测序分析基因变化。它们能够在全基因组范围内实时监测分子进化。在此,我们综述了跨多种系统的E&R实验领域,这些系统从简单的无生命RNA到细菌、酵母以及复杂的多细胞生物黑腹果蝇。我们探讨了这些系统中不同的进化结果如何在很大程度上与常见的群体遗传学原理相一致。不同系统间结果的差异很大程度上可由起始种群大小、已有遗传变异水平、重组率和适应性景观的不同来解释。我们强调了未来实验必须解决的新出现的主题和不一致之处。