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揭示内分泌系统的进化:大规模比较分析的力量与潜力

Illuminating Endocrine Evolution: The Power and Potential of Large-Scale Comparative Analyses.

作者信息

Vitousek Maren N, Johnson Michele A, Husak Jerry F

机构信息

Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA.

Cornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY 14850, USA.

出版信息

Integr Comp Biol. 2018 Oct 1;58(4):712-719. doi: 10.1093/icb/icy098.

Abstract

Hormones are central mediators of genotype-phenotype and organism-environment interactions. Despite these important functions, the role of selection in shaping hormonal mediators of phenotype remains poorly understood. Thanks to decades of work by endocrinologists, circulating hormone levels have been measured in a diversity of organisms. Variation in other endocrine traits and mediators (e.g., receptor expression and binding globulins), and the hormonal response to standardized challenges (e.g., restraint, pharmacological challenges) are also increasingly measured in both captive and free-living populations. Large-scale comparative analyses of the multitude of available endocrine data represent a particularly promising approach to addressing the function and evolution of these key phenotypic mediators, and their potential to serve as indicators of disturbance. Several recent phylogenetic comparative analyses and meta-analyses have begun to reveal the power and potential of these approaches to address key questions in integrative biology. Here we highlight two recent developments that are facilitating such analyses: increasingly powerful and flexible phylogenetic comparative methods, and the release of two endocrine trait databases-HormoneBase (currently 474 species) and the Wildlife Endocrinology Information Network (currently 25 species)-that contain compiled measures of endocrine traits across vertebrates. Increasingly comprehensive comparative analyses of endocrine data could provide insight into many interesting questions, including how rapidly changing environments are impacting phenotypes, why endocrine traits differ so remarkably within and across populations, and the evolution of plasticity. The endocrine system mediates interactions between genotypes and phenotypes, and between organisms and their environment. Environmentally induced hormonal responses regulate phenotypic flexibility across timescales by altering physiological state, gene expression, and epigenetic marks. A staggering diversity of phenotypic traits are mediated by hormones from early development through senescence. Through their actions on behavior, hormones also exert widespread influence over how organisms interact with their biotic and abiotic environments. Because hormones are responsive to the environment, there has long been interest in their use as biomarkers of exposure to challenges. More recently, increasing attention has been paid to the potential for within and among-population variation in endocrine regulation or responsiveness to serve as indicators of resistance or resilience to future challenges, or measures of evolutionary potential.

摘要

激素是基因型-表型以及生物体-环境相互作用的核心调节因子。尽管具有这些重要功能,但选择在塑造表型的激素调节因子方面所起的作用仍知之甚少。得益于内分泌学家数十年的工作,已在多种生物体中测量了循环激素水平。在圈养和自由生活的种群中,其他内分泌特征和调节因子(例如受体表达和结合球蛋白)的变异以及对标准化刺激(例如束缚、药物刺激)的激素反应也越来越多地得到测量。对大量现有内分泌数据进行大规模比较分析是解决这些关键表型调节因子的功能和进化及其作为干扰指标潜力的一种特别有前景的方法。最近的一些系统发育比较分析和荟萃分析已开始揭示这些方法在解决综合生物学关键问题方面的力量和潜力。在此,我们重点介绍促进此类分析的两个最新进展:功能日益强大且灵活的系统发育比较方法,以及两个内分泌特征数据库的发布——激素数据库(目前涵盖474个物种)和野生动物内分泌学信息网络(目前涵盖25个物种),它们包含了脊椎动物内分泌特征的汇总测量数据。对内分泌数据进行日益全面的比较分析可以为许多有趣的问题提供见解,包括快速变化的环境如何影响表型、为什么内分泌特征在种群内部和种群之间存在如此显著的差异以及可塑性的进化。内分泌系统介导基因型与表型之间以及生物体与其环境之间的相互作用。环境诱导的激素反应通过改变生理状态、基因表达和表观遗传标记,在不同时间尺度上调节表型灵活性。从早期发育到衰老,激素介导了惊人的表型特征多样性。通过对行为的作用,激素还对生物体与其生物和非生物环境的相互作用方式产生广泛影响。由于激素对环境有反应,长期以来人们一直对将其用作接触挑战的生物标志物感兴趣。最近,人们越来越关注内分泌调节或反应性在种群内部和种群之间的差异作为对未来挑战的抗性或恢复力指标或进化潜力度量的可能性。

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