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建模内共生:理论方法的见解和假设。

Modeling endosymbioses: Insights and hypotheses from theoretical approaches.

机构信息

Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.

Integrated Science Lab, Umeå University, Umeå, Sweden.

出版信息

PLoS Biol. 2024 Apr 10;22(4):e3002583. doi: 10.1371/journal.pbio.3002583. eCollection 2024 Apr.

Abstract

Endosymbiotic relationships are pervasive across diverse taxa of life, offering key avenues for eco-evolutionary dynamics. Although a variety of experimental and empirical frameworks have shed light on critical aspects of endosymbiosis, theoretical frameworks (mathematical models) are especially well-suited for certain tasks. Mathematical models can integrate multiple factors to determine the net outcome of endosymbiotic relationships, identify broad patterns that connect endosymbioses with other systems, simplify biological complexity, generate hypotheses for underlying mechanisms, evaluate different hypotheses, identify constraints that limit certain biological interactions, and open new lines of inquiry. This Essay highlights the utility of mathematical models in endosymbiosis research, particularly in generating relevant hypotheses. Despite their limitations, mathematical models can be used to address known unknowns and discover unknown unknowns.

摘要

内共生关系在生命的不同分类群中普遍存在,为生态进化动力学提供了关键途径。尽管各种实验和实证框架已经揭示了内共生的关键方面,但理论框架(数学模型)尤其适合某些任务。数学模型可以整合多个因素来确定内共生关系的净结果,确定将内共生与其他系统联系起来的广泛模式,简化生物复杂性,生成潜在机制的假设,评估不同的假设,确定限制某些生物相互作用的约束条件,并开辟新的研究途径。本文强调了数学模型在内共生研究中的效用,特别是在产生相关假设方面。尽管存在局限性,但数学模型可以用于解决已知的未知问题,并发现未知的未知问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f28/11006130/f3050f4e4f83/pbio.3002583.g001.jpg

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