Suppr超能文献

探索进化的曲折道路:机械模型在识别自然中生态进化动态的重要性。

Navigating the devious course of evolution: the importance of mechanistic models for identifying eco-evolutionary dynamics in nature.

机构信息

Department of Mathematics, Duke University, Durham, NC 27708, USA.

出版信息

Am Nat. 2013 May;181 Suppl 1:S58-75. doi: 10.1086/669952. Epub 2013 Mar 15.

Abstract

In proposing his genetic feedback mechanism, David Pimentel was one of the first biologists to argue that the reciprocal interplay of ecological and evolutionary dynamics is an important process regulating population dynamics and ultimately affecting community composition. Although the past decade has seen an increase in research activity on these so-called eco-evolutionary dynamics, there remains a conspicuous lack of compelling natural examples of such feedback. Here we argue that this lack may be due to an inherent difficulty in detecting eco-evolutionary dynamics in nature. By examining models of virulence evolution, host resistance evolution, and antigenic evolution, we show that the influence of evolution on ecological dynamics can often be obscured by other ecological processes that yield similar dynamics. We then show, however, that mechanistic models can be used to navigate this, in Pimentel's words, "devious" course of evolution when effectively combined with empirical data. We argue that these models, improving upon Pimentel's original mathematical models, will therefore play an increasingly important role in identifying more subtle, but possibly ubiquitous, eco-evolutionary dynamics in nature. To highlight the importance of identifying these potentially subtle dynamics in nature, we end by considering our ability to anticipate the effect of population control strategies in the presence of these eco-evolutionary feedbacks.

摘要

在提出他的遗传反馈机制时,大卫·皮门特尔(David Pimentel)是最早提出生态和进化动态的相互作用是调节种群动态并最终影响群落组成的重要过程的生物学家之一。尽管过去十年中,关于所谓的生态进化动态的研究活动有所增加,但仍然缺乏这种反馈的引人注目且令人信服的自然实例。在这里,我们认为这种缺乏可能是由于在自然界中检测生态进化动态固有困难所致。通过检查毒力进化、宿主抗性进化和抗原进化的模型,我们表明,进化对生态动态的影响常常会被产生相似动态的其他生态过程所掩盖。但是,我们随后表明,当与经验数据有效结合时,机制模型可以用于解决皮门特尔所说的“迂回”进化过程。我们认为,这些模型将在识别自然界中更微妙但可能无处不在的生态进化动态方面发挥越来越重要的作用,从而改进皮门特尔的原始数学模型。为了强调在自然界中识别这些潜在微妙动态的重要性,我们最后考虑了在存在这些生态进化反馈的情况下,我们预测种群控制策略效果的能力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验