发展承诺的进化稳定性

IF 2 4区 生物学 Q2 BIOLOGY
Yuka Shirokawa
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引用次数: 0

摘要

单细胞生物向多细胞生物的进化必须解决单个细胞与群体之间在生殖利益上的冲突。盘基变形虫(Dictyostelium discoideum)是一种生活在土壤中的真核生物,具有表面社会性。细胞在有营养物质的环境中生长,在饥饿状态下细胞聚集形成含有孢子和利他主义柄细胞的子实体。细胞一旦作出社会承诺,即使有新的营养来源,它们也会完成子实体的形成。这种社会承诺的持续性引起了人们的疑问,因为它抑制了单个细胞迅速恢复单独生长。我的假设是,过早去承诺的特性会阻碍被选择。最近的研究揭示了通过强制再喂养过早去承诺的结果;去承诺细胞通过与社会承诺细胞的互动降低了凝聚力,从而采取了类似于前垩状细胞的利他主义立场。我构建了一个假定它们分工合作的进化模型。结果表明,去承诺突变体的入侵会阻止其适应性景观的形成,这表明社会承诺在进化过程中具有稳定性。这些发现提供了一个总体方案,即通过进化特定的分工来维持多细胞性,其中凝聚力较低的个体成为利他主义者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary stability of developmental commitment

Evolution of unicellular to multicellular organisms must resolve conflicts in reproductive interests between individual cells and the group. The social amoeba Dictyostelium discoideum is a soil-living eukaryote with facultative sociality. While cells grow in the presence of nutrients, cells aggregate under starvation to form fruiting bodies containing spores and altruistic stalk cells. Once cells socially committed, they complete formation of fruiting bodies, even if a new source of nutrients becomes available. The persistence of this social commitment raises questions as it inhibits individual cells from swiftly returning to solitary growth. I hypothesize that traits enabling premature de-commitment are hindered from being selected. Recent work has revealed outcomes of the premature de-commitment through forced refeeding; The de-committed cells take an altruistic prestalk-like position due to their reduced cohesiveness through interactions with socially committed cells. I constructed an evolutionary model assuming their division of labor. The results revealed a valley in the fitness landscape that prevented invasion of de-committing mutants, indicating evolutionary stability of the social commitment. The findings provide a general scheme that maintains multicellularity by evolving a specific division of labor, in which less cohesive individuals become altruists.

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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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