{"title":"化学认知:动物整合系统的化学连接组学和趋同进化。","authors":"Leonid L. Moroz, Daria Y. Romanova","doi":"10.1007/s10071-023-01833-7","DOIUrl":null,"url":null,"abstract":"<div><p>Neurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and sponges. Second, in addition to classical synaptic wiring, a <i>chemical connectome</i> mediated by hundreds of signal molecules operates in tandem with neurons and is the most information-rich source of emerging properties and adaptability. The major gap—dynamic, multifunctional chemical micro-environments in nervous systems—is not understood well. Thus, novel tools and information are needed to establish mechanistic links between orchestrated, yet cell-specific, volume transmission and behaviors. Uniting what we call <i>chemoconnectomics</i> and analyses of the cellular bases of behavior in basal metazoan lineages arguably would form the foundation for deciphering the origins and early evolution of elementary cognition and intelligence.</p></div>","PeriodicalId":7879,"journal":{"name":"Animal Cognition","volume":"26 6","pages":"1851 - 1864"},"PeriodicalIF":1.9000,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals\",\"authors\":\"Leonid L. Moroz, Daria Y. Romanova\",\"doi\":\"10.1007/s10071-023-01833-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Neurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and sponges. Second, in addition to classical synaptic wiring, a <i>chemical connectome</i> mediated by hundreds of signal molecules operates in tandem with neurons and is the most information-rich source of emerging properties and adaptability. The major gap—dynamic, multifunctional chemical micro-environments in nervous systems—is not understood well. Thus, novel tools and information are needed to establish mechanistic links between orchestrated, yet cell-specific, volume transmission and behaviors. Uniting what we call <i>chemoconnectomics</i> and analyses of the cellular bases of behavior in basal metazoan lineages arguably would form the foundation for deciphering the origins and early evolution of elementary cognition and intelligence.</p></div>\",\"PeriodicalId\":7879,\"journal\":{\"name\":\"Animal Cognition\",\"volume\":\"26 6\",\"pages\":\"1851 - 1864\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Animal Cognition\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10071-023-01833-7\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal Cognition","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10071-023-01833-7","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
Chemical cognition: chemoconnectomics and convergent evolution of integrative systems in animals
Neurons underpin cognition in animals. However, the roots of animal cognition are elusive from both mechanistic and evolutionary standpoints. Two conceptual frameworks both highlight and promise to address these challenges. First, we discuss evidence that animal neural and other integrative systems evolved more than once (convergent evolution) within basal metazoan lineages, giving us unique experiments by Nature for future studies. The most remarkable examples are neural systems in ctenophores and neuroid-like systems in placozoans and sponges. Second, in addition to classical synaptic wiring, a chemical connectome mediated by hundreds of signal molecules operates in tandem with neurons and is the most information-rich source of emerging properties and adaptability. The major gap—dynamic, multifunctional chemical micro-environments in nervous systems—is not understood well. Thus, novel tools and information are needed to establish mechanistic links between orchestrated, yet cell-specific, volume transmission and behaviors. Uniting what we call chemoconnectomics and analyses of the cellular bases of behavior in basal metazoan lineages arguably would form the foundation for deciphering the origins and early evolution of elementary cognition and intelligence.
期刊介绍:
Animal Cognition is an interdisciplinary journal offering current research from many disciplines (ethology, behavioral ecology, animal behavior and learning, cognitive sciences, comparative psychology and evolutionary psychology) on all aspects of animal (and human) cognition in an evolutionary framework.
Animal Cognition publishes original empirical and theoretical work, reviews, methods papers, short communications and correspondence on the mechanisms and evolution of biologically rooted cognitive-intellectual structures.
The journal explores animal time perception and use; causality detection; innate reaction patterns and innate bases of learning; numerical competence and frequency expectancies; symbol use; communication; problem solving, animal thinking and use of tools, and the modularity of the mind.