通过生态位构建进行进化拯救:罕见的构建可以防止入侵后的灭绝

IF 1.2 4区 生物学 Q4 ECOLOGY
Alexander Longcamp, Jeremy Draghi
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引用次数: 0

摘要

经历栖息地丧失的种群可以通过基因适应来避免灭绝,这一过程被称为进化拯救。在这里,我们分析了通过生态位构建突变进行进化拯救的概率,该突变允许携带者以其繁殖力为代价,将新的、不利的繁殖栖息地转化为有利的状态。我们分析了突变体和非生态位构建野生型之间的竞争,它们最终需要构建的栖息地来繁殖。我们发现,野生型对已建栖息地的过度开发会在突变体入侵后不久产生种群规模的阻尼振荡,从而降低救援的可能性。当施工不频繁、栖息地丧失普遍、繁殖环境大或种群承载力小时,这种入侵后灭绝的可能性较小。在这些条件下,野生型不太可能遇到构建的栖息地,因此,突变体更有可能修复。这些结果表明,如果没有阻止构建栖息地野生型遗传的机制,尽管突变体入侵成功,但通过生态位构建进行拯救的种群可能仍容易在短时间内灭绝。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary rescue via niche construction: Infrequent construction can prevent post-invasion extinction

A population experiencing habitat loss can avoid extinction by undergoing genetic adaptation—a process known as evolutionary rescue. Here we analytically approximate the probability of evolutionary rescue via a niche-constructing mutation that allows carriers to convert a novel, unfavorable reproductive habitat to a favorable state at a cost to their fecundity. We analyze competition between mutants and non-niche-constructing wild types, who ultimately require the constructed habitats to reproduce. We find that over-exploitation of the constructed habitats by wild types can generate damped oscillations in population size shortly after mutant invasion, thereby decreasing the probability of rescue. Such post-invasion extinction is less probable when construction is infrequent, habitat loss is common, the reproductive environment is large, or the population’s carrying capacity is small. Under these conditions, wild types are less likely to encounter the constructed habitats and, consequently, mutants are more likely to fix. These results suggest that, without a mechanism that deters wild type inheritance of the constructed habitats, a population undergoing rescue via niche construction may remain prone to short-timescale extinction despite successful mutant invasion.

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来源期刊
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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