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环境变异和生物相互作用限制了生态边缘的适应:来自热带雨林和欧洲蝴蝶的教训。

Environmental variation and biotic interactions limit adaptation at ecological margins: lessons from rainforest and European butterflies.

机构信息

School of Biological Sciences, University of Bristol, Bristol, UK.

Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2022 Apr 11;377(1848):20210017. doi: 10.1098/rstb.2021.0017. Epub 2022 Feb 21.

Abstract

Models of local adaptation to spatially varying selection predict that maximum rates of evolution are determined by the interaction between increased adaptive potential owing to increased genetic variation, and the cost genetic variation brings by reducing population fitness. We discuss existing and new results from our laboratory assays and field transplants of rainforest and UK butterflies along environmental gradients, which try to test these predictions in natural populations. Our data suggest that: (i) local adaptation along ecological gradients is not consistently observed in time and space, especially where biotic and abiotic interactions affect both gradient steepness and genetic variation in fitness; (ii) genetic variation in fitness observed in the laboratory is only sometimes visible to selection in the field, suggesting that demographic costs can remain high without increasing adaptive potential; and (iii) antagonistic interactions between species reduce local productivity, especially at ecological margins. Such antagonistic interactions steepen gradients and may increase the cost of adaptation by increasing its dimensionality. However, where biotic interactions do evolve, rapid range expansion can follow. Future research should test how the environmental sensitivity of genotypes determines their ecological exposure, and its effects on genetic variation in fitness, to predict the probability of evolutionary rescue at ecological margins. This article is part of the theme issue 'Species' ranges in the face of changing environments (Part II)'.

摘要

模型的局部适应空间变化的选择预测,最大的进化速度是由增加的适应性潜力由于增加遗传变异,和遗传变异的成本带来的减少人口适应度之间的相互作用决定的。我们讨论了来自我们实验室的现有和新的结果 assays 和英国的蝴蝶沿着环境梯度的野外移植,试图在自然种群中检验这些预测。我们的数据表明:(i)沿生态梯度的局部适应在时间和空间上并不总是观察到,特别是当生物和非生物相互作用影响梯度的陡度和适应度的遗传变异;(ii)在实验室中观察到的适应性变异在野外选择中并不总是可见,这表明在不增加适应潜力的情况下,人口成本可能仍然很高;(iii)种间的拮抗相互作用降低了局部生产力,特别是在生态边缘。这种拮抗相互作用使梯度变陡,并可能通过增加其维数来增加适应的成本。然而,在生物相互作用确实进化的地方,快速的范围扩张可能随之而来。未来的研究应该检验基因型的环境敏感性如何决定它们的生态暴露,以及它对适应度遗传变异的影响,以预测生态边缘的进化拯救的可能性。本文是主题问题的一部分“面对不断变化的环境的物种范围(第二部分)”。

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本文引用的文献

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Effects of species interactions on the potential for evolution at species' range limits.物种相互作用对物种分布范围限制处进化潜力的影响。
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4
The costs and benefits of dispersal in small populations.小规模种群扩散的成本与收益。
Philos Trans R Soc Lond B Biol Sci. 2022 Apr 11;377(1848):20210011. doi: 10.1098/rstb.2021.0011. Epub 2022 Feb 21.
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Temporal variation may have diverse impacts on range limits.时间变化可能对分布范围界限产生不同的影响。
Philos Trans R Soc Lond B Biol Sci. 2022 Apr 11;377(1848):20210016. doi: 10.1098/rstb.2021.0016. Epub 2022 Feb 21.
6
The role of phenotypic plasticity in the establishment of range margins.表型可塑性在分布范围界限形成中的作用。
Philos Trans R Soc Lond B Biol Sci. 2022 Mar 14;377(1846):20210012. doi: 10.1098/rstb.2021.0012. Epub 2022 Jan 24.
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Allen Orr and the genetics of adaptation.艾伦·奥尔与适应的遗传学。
Evolution. 2021 Nov;75(11):2624-2640. doi: 10.1111/evo.14372. Epub 2021 Oct 15.

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