Division of Biological Sciences, University of Montana, Missoula, Montana.
University of Nebraska, Lincoln, Nebraska.
Mol Ecol. 2019 Apr;28(8):1866-1876. doi: 10.1111/mec.15067. Epub 2019 May 5.
Understanding the links between genetic variation and fitness in natural populations is a central goal of evolutionary genetics. This monumental task spans the fields of classical and molecular genetics, population genetics, biochemistry, physiology, developmental biology, and ecology. Advances to our molecular and developmental toolkits are facilitating integrative approaches across these traditionally separate fields, providing a more complete picture of the genotype-phenotype map in natural and non-model systems. Here, we summarize research presented at the first annual symposium of the UNVEIL Network, an NSF-funded collaboration between the University of Montana and the University of Nebraska, Lincoln, which took place from the 1st to the 3rd of June, 2018. We discuss how this body of work advances basic evolutionary science, what it implies for our ability to predict evolutionary change, and how it might inform novel conservation strategies.
理解遗传变异与自然种群适应度之间的联系是进化遗传学的核心目标。这项艰巨的任务跨越了经典遗传学和分子遗传学、群体遗传学、生物化学、生理学、发育生物学和生态学等领域。我们的分子和发育工具包的进步正在促进这些传统上分离的领域的综合方法，为自然和非模式系统中的基因型-表型图谱提供更完整的图景。在这里，我们总结了于 2018 年 6 月 1 日至 3 日在 UNVEIL 网络（该网络由美国国家科学基金会资助，由蒙大拿大学和内布拉斯加大学林肯分校联合成立）的首届年度研讨会上展示的研究。我们讨论了这项工作如何推进基础进化科学，它对我们预测进化变化的能力意味着什么，以及它如何为新的保护策略提供信息。
