论文标题

将定量基因组学进入野外

Taking Quantitative Genomics into the Wild

论文作者

Johnston, Susan E., Chen, Nancy, Josephs, Emily B.

论文摘要

生态学和进化研究的关键目标是了解自然界表型多样性的原因。大多数感兴趣的特征,例如与形态学,生活史,免疫和行为有关的特征是定量的,并且表型变异是由遗传和环境变异的累积效应驱动的。定量遗传学领域旨在量化该性状方差的加性遗传成分(即“遗传力”),通常是基本的假设是特征方差是由许多基因组中无数效应的许多基因座驱动的。这种方法使我们能够理解自然种群的进化潜力,并可以扩展以检查遗传协方差,以预测对选择的反应。因此,定量遗传研究对于理解野生的进化至关重要。在过去的二十年中,进行了大量研究,研究了性状遗产和遗传相关性,但最初这些研究仅限于对血统人群或共同花园实验的长期研究。然而,基因组技术允许在更多种野生系统范围内的定量遗传研究,并增加了解决生态和进化中杰出问题的机会。特别是,基因组研究可以揭示与适应性相关的定量性状的遗传基础,从而可以更好地了解其进化动力学。我们组织了这个特刊,以突出新作品并回顾“野生定量基因组学”的最新进展。在本社论中,我们将介绍一些野生定量遗传和基因组研究的历史,然后再讨论本期特刊中发表的论文中的主要主题,并强调了这个动态领域的未来前景。

A key goal in studies of ecology and evolution is understanding the causes of phenotypic diversity in nature. Most traits of interest, such as those relating to morphology, life-history, immunity and behaviour are quantitative, and phenotypic variation is driven by the cumulative effects of genetic and environmental variation. The field of quantitative genetics aims to quantify the additive genetic component of this trait variance (i.e. the "heritability"), often with the underlying assumption that trait variance is driven by many loci of infinitesimal effects throughout the genome. This approach allows us to understand the evolutionary potential of natural populations and can be extended to examine the genetic covariation with fitness to predict responses to selection. Therefore, quantitative genetic studies are fundamental to understanding evolution in the wild. Over the last two decades, there has been a wealth of studies investigating trait heritabilities and genetic correlations, but these were initially limited to long-term studies of pedigreed populations or common-garden experiments. However, genomic technologies have since allowed quantitative genetic studies in a more diverse range of wild systems and has increased the opportunities for addressing outstanding questions in ecology and evolution. In particular, genomic studies can uncover the genetic basis of fitness-related quantitative traits, allowing a better understanding of their evolutionary dynamics. We organised this special issue to highlight new work and review recent advances at the cutting edge of "Wild Quantitative Genomics". In this Editorial, we will present some history of wild quantitative genetic and genomic studies, before discussing the main themes in the papers published in this special issue and highlighting the future outlook of this dynamic field.

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