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发育中和成年动物针对气候变化的“风险对冲”:随机基因表达、表型可塑性、表观遗传继承及适应的作用

"Bet hedging" against climate change in developing and adult animals: roles for stochastic gene expression, phenotypic plasticity, epigenetic inheritance and adaptation.

作者信息

Burggren Warren W, Mendez-Sanchez Jose Fernando

机构信息

Developmental Integrative Biology Group, Department of Biological Sciences, University of North Texas, Denton, TX, United States.

Laboratorio de Ecofisiología Animal, Departamento de Biología, Facultad de Ciencias, Universidad Autónoma del Estado de México, Toluca, Mexico.

出版信息

Front Physiol. 2023 Oct 6;14:1245875. doi: 10.3389/fphys.2023.1245875. eCollection 2023.

Abstract

Animals from embryos to adults experiencing stress from climate change have numerous mechanisms available for enhancing their long-term survival. In this review we consider these options, and how viable they are in a world increasingly experiencing extreme weather associated with climate change. A deeply understood mechanism involves natural selection, leading to evolution of new adaptations that help cope with extreme and stochastic weather events associated with climate change. While potentially effective at staving off environmental challenges, such adaptations typically occur very slowly and incrementally over evolutionary time. Consequently, adaptation through natural selection is in most instances regarded as too slow to aid survival in rapidly changing environments, especially when considering the stochastic nature of extreme weather events associated with climate change. Alternative mechanisms operating in a much shorter time frame than adaptation involve the rapid creation of alternate phenotypes within a life cycle or a few generations. Stochastic gene expression creates multiple phenotypes from the same genotype even in the absence of environmental cues. In contrast, other mechanisms for phenotype change that are externally driven by environmental clues include well-understood developmental phenotypic plasticity (variation, flexibility), which can enable rapid, within-generation changes. Increasingly appreciated are epigenetic influences during development leading to rapid phenotypic changes that can also immediately be very widespread throughout a population, rather than confined to a few individuals as in the case of favorable gene mutations. Such epigenetically-induced phenotypic plasticity can arise rapidly in response to stressors within a generation or across a few generations and just as rapidly be "sunsetted" when the stressor dissipates, providing some capability to withstand environmental stressors emerging from climate change. Importantly, survival mechanisms resulting from adaptations and developmental phenotypic plasticity are not necessarily mutually exclusive, allowing for classic "bet hedging". Thus, the appearance of multiple phenotypes within a single population provides for a phenotype potentially optimal for some future environment. This enhances survival during stochastic extreme weather events associated with climate change. Finally, we end with recommendations for future physiological experiments, recommending in particular that experiments investigating phenotypic flexibility adopt more realistic protocols that reflect the stochastic nature of weather.

摘要

从胚胎到成年的动物在经历气候变化带来的压力时,有多种机制可用于提高它们的长期生存能力。在这篇综述中,我们考虑了这些选择,以及它们在一个越来越多地经历与气候变化相关的极端天气的世界中的可行性。一个深入理解的机制涉及自然选择,导致新适应性的进化,有助于应对与气候变化相关的极端和随机天气事件。虽然这种适应性在抵御环境挑战方面可能有效,但通常在进化时间内非常缓慢且渐进地发生。因此,在大多数情况下,通过自然选择进行的适应被认为太慢,无法帮助在快速变化的环境中生存,特别是考虑到与气候变化相关的极端天气事件的随机性时。与适应相比,在短得多的时间框架内起作用的替代机制涉及在一个生命周期或几代内快速产生替代表型。即使在没有环境线索的情况下,随机基因表达也能从相同基因型产生多种表型。相比之下,其他由环境线索外部驱动的表型变化机制包括广为人知的发育表型可塑性(变异、灵活性),它可以实现快速的代内变化。人们越来越认识到发育过程中的表观遗传影响会导致快速的表型变化,这种变化也可以立即在整个种群中非常广泛地出现,而不是像有利基因突变那样局限于少数个体。这种表观遗传诱导的表型可塑性可以在一代或几代内对压力源迅速做出反应,并在压力源消失时同样迅速地“消退”,提供了一定的能力来抵御气候变化带来的环境压力源。重要的是,由适应和发育表型可塑性产生的生存机制不一定相互排斥,从而实现经典的“风险对冲”。因此,单一群体中多种表型的出现为某些未来环境提供了潜在最优的表型。这提高了在与气候变化相关的随机极端天气事件中的生存能力。最后,我们以对未来生理学实验的建议作为结尾,特别建议研究表型灵活性的实验采用更现实的方案,以反映天气的随机性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f281/10588650/ce35e4089058/fphys-14-1245875-g001.jpg

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