多元化(营销策略)
集体行为
生物
特质
进化生物学
系统发育树
集体智慧
进化动力学
集体运动
现存分类群
性状
宏观进化
生态学
谱系(遗传)
分组选择
系统发育学
适应(眼睛)
表型
共同血统
脊椎动物
克莱德
变化(天文学)
系统发育比较方法
生命之树(生物学)
共同进化
捕食
作者
Jay Love,Amlan Nayak,Abigail G. Grassick,Ling-Wei Kong,Ella G. Henry,Michael A. Gil,Ashkaan K. Fahimipour,Matt Pennell,Andrew M. Hein
标识
DOI:10.1073/pnas.2611720123
摘要
Abstract Trait evolution and lineage diversification are thought to be driven by selection on the phenotypes of individuals. However, many important phenotypes are only manifested when individuals interact. Collective behavior is one such phenotype. During collective behavior, interactions among individuals lead to emergent group-level phenotypes that can govern individual fitness. Yet, whether collective behaviors exhibit similar patterns of trait evolution to individual traits and whether these group phenotypes have influenced macroevolutionary diversification is unknown. In ray-finned fishes, the most species-rich of all vertebrate classes, many species exhibit striking displays of collective behavior in the form of collective movement. Here, we use state-of-the-art machine learning methods for text and image analysis to quantify collective movement phenotypes for 2,839 Actinopterygian fishes, comprising nearly 10% of all extant species. We find that collective movement is highly evolutionarily stable in some clades and extremely labile in others, exhibiting over 300 evolutionary transitions. Consistent with theoretical predictions, collective movement is associated with more patchy diets and higher predation pressure. Finally, we find that the evolution of collective movement coincides with an increase in net macroevolutionary diversification rate. Our analyses reveal that collective behavior is deeply intertwined with ecological and evolutionary dynamics across a vast phylogenetic scale, unlocking new questions about the role of collective phenotypes in shaping the diversity of life on Earth. Significance Collective behavior is thought to contribute to the fitness of individuals that live in groups, but we still do not understand why some species exhibit collective behavior and others do not. We developed machine learning methods to quantify collective phenotypes for thousands of species spanning the phylogeny of ray-finned fishes and found collective behavior to be widespread and consistently correlated with experiencing higher predation pressure and foraging for grouping prey. Lineages that evolve collective movement show a higher net diversification rate. Our results illustrate that collective behavior is foundational to the broad-scale patterns of evolution and diversification in the largest vertebrate class.
科研通智能强力驱动
Strongly Powered by AbleSci AI