Understanding Organismal Capacity to Respond to Anthropogenic Change: Barriers and Solutions
Understanding Organismal Capacity to Respond to Anthropogenic Change: Barriers and Solutions
复制标题
了解生物体应对人为变化的能力：障碍和解决方案
DOI：
10.1093/icb/icab162
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发表时间：
2021
影响因子：
2.6
通讯作者：
Wright, Timothy F
中科院分区：
文献类型：
--
作者：
Gabor, Caitlin R;Kivlin, Stephanie N;Hua, Jessica;Bickford, Nate;Reiskind, Martha O;Wright, Timothy F
人类活动引起的全球环境变化迫使生物体以前所未有的速度作出反应。目前，我们对为什么有些物种具有对这些变化作出反应的能力，而另一些物种则没有，只有有限的了解。我们引入多维表型空间的概念，作为一个组织结构来理解有机体对环境变化的进化反应。然后，我们描述了目前挑战我们理解这些反应能力的五个障碍：（1）了解环境变化的参数及其适应性效应，（2）绘制和整合表型和基因型变异，（3）了解表型空间的变化是否可遗传，（4）预测基因型与表型模式在空间和时间上的一致性，（5）确定哪些特征应该优先考虑，以了解生物体对环境变化的反应。对于每一个问题，我们都提出了一个或多个解决方案，帮助我们克服障碍，提高我们预测并最终操纵生物体应对人为变化的能力。此外，我们提供了目标物种的例子，可能是有用的研究表型可塑性和适应性进化之间的相互作用，在改变表型空间。
Global environmental changes induced by human activities are forcing organisms to respond at an unprecedented pace. At present we have only a limited understanding of why some species possess the capacity to respond to these changes while others do not. We introduce the concept of multidimensional phenospace as an organizing construct to understanding organismal evolutionary responses to environmental change. We then describe five barriers that currently challenge our ability to understand these responses: (1) Understanding the parameters of environmental change and their fitness effects, (2) Mapping and integrating phenotypic and genotypic variation, (3) Understanding whether changes in phenospace are heritable, (4) Predicting consistency of genotype to phenotype patterns across space and time, and (5) Determining which traits should be prioritized to understand organismal response to environmental change. For each we suggest one or more solutions that would help us surmount the barrier and improve our ability to predict, and eventually manipulate, organismal capacity to respond to anthropogenic change. Additionally, we provide examples of target species that could be useful to examine interactions between phenotypic plasticity and adaptive evolution in changing phenospace.