Suppr超能文献

快速的细菌-噬菌体共同进化驱动多尺度网络的出现。

Rapid bacteria-phage coevolution drives the emergence of multiscale networks.

机构信息

Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.

School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

Science. 2023 Nov 10;382(6671):674-678. doi: 10.1126/science.adi5536. Epub 2023 Nov 9.

Abstract

Interactions between species catalyze the evolution of multiscale ecological networks, including both nested and modular elements that regulate the function of diverse communities. One common assumption is that such complex pattern formation requires spatial isolation or long evolutionary timescales. We show that multiscale network structure can evolve rapidly under simple ecological conditions without spatial structure. In just 21 days of laboratory coevolution, and bacteriophage Φ21 coevolve and diversify to form elaborate cross-infection networks. By measuring ~10,000 phage-bacteria infections and testing the genetic basis of interactions, we identify the mechanisms that create each component of the multiscale pattern. Our results demonstrate how multiscale networks evolve in parasite-host systems, illustrating Darwin's idea that simple adaptive processes can generate entangled banks of ecological interactions.

摘要

物种之间的相互作用促进了多尺度生态网络的进化,包括调节多样社区功能的嵌套和模块化元素。一个常见的假设是,这种复杂的模式形成需要空间隔离或长的进化时间尺度。我们表明,在没有空间结构的简单生态条件下,多尺度网络结构可以快速进化。在仅仅 21 天的实验室共同进化中,噬菌体 Φ21 共同进化并多样化,形成了精细的交叉感染网络。通过测量约 10000 次噬菌体-细菌感染,并测试相互作用的遗传基础,我们确定了形成多尺度模式各个组成部分的机制。我们的研究结果表明,多尺度网络如何在寄生虫-宿主系统中进化,说明了达尔文的观点,即简单的适应过程可以产生生态相互作用的纠缠网络。

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