{"title":"行为个性的发展起源。","authors":"Benjamin L de Bivort","doi":"10.1146/annurev-cellbio-101323-025423","DOIUrl":null,"url":null,"abstract":"<p><p>Every individual animal behaves differently, even if they have the same genome and have been raised in the same environment. This diversity in behavior challenges the notion that biological variation derives solely from differences in genetics and environment, and poses the question of what biological processes generate individuality. At very small scales, the dynamics of biological matter are essentially impossible to predict with certainty, and these stochastic fluctuations can ripple out to alter the metabolism, physiology, and behavior of cells and organisms. I review major findings related to the developmental origins of stochastic individuality. These include the multivariate, dynamic organization of individual behavioral differences; control of the extent of individuality by genes, neural activity, and neuromodulation; nanoscale features of neural circuits that predict behavioral biases at the individual level; and experimental and theoretical evidence that behavioral variability may reflect an adaptive bet-hedging strategy. I conclude with a brief discussion of how large datasets like connectomes and long-term behavioral recordings will inform our understanding of the mechanisms underpinning behavioral individuality.</p>","PeriodicalId":7944,"journal":{"name":"Annual review of cell and developmental biology","volume":" ","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Developmental Origins of Behavioral Individuality.\",\"authors\":\"Benjamin L de Bivort\",\"doi\":\"10.1146/annurev-cellbio-101323-025423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Every individual animal behaves differently, even if they have the same genome and have been raised in the same environment. This diversity in behavior challenges the notion that biological variation derives solely from differences in genetics and environment, and poses the question of what biological processes generate individuality. At very small scales, the dynamics of biological matter are essentially impossible to predict with certainty, and these stochastic fluctuations can ripple out to alter the metabolism, physiology, and behavior of cells and organisms. I review major findings related to the developmental origins of stochastic individuality. These include the multivariate, dynamic organization of individual behavioral differences; control of the extent of individuality by genes, neural activity, and neuromodulation; nanoscale features of neural circuits that predict behavioral biases at the individual level; and experimental and theoretical evidence that behavioral variability may reflect an adaptive bet-hedging strategy. I conclude with a brief discussion of how large datasets like connectomes and long-term behavioral recordings will inform our understanding of the mechanisms underpinning behavioral individuality.</p>\",\"PeriodicalId\":7944,\"journal\":{\"name\":\"Annual review of cell and developmental biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual review of cell and developmental biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-cellbio-101323-025423\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of cell and developmental biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1146/annurev-cellbio-101323-025423","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
The Developmental Origins of Behavioral Individuality.
Every individual animal behaves differently, even if they have the same genome and have been raised in the same environment. This diversity in behavior challenges the notion that biological variation derives solely from differences in genetics and environment, and poses the question of what biological processes generate individuality. At very small scales, the dynamics of biological matter are essentially impossible to predict with certainty, and these stochastic fluctuations can ripple out to alter the metabolism, physiology, and behavior of cells and organisms. I review major findings related to the developmental origins of stochastic individuality. These include the multivariate, dynamic organization of individual behavioral differences; control of the extent of individuality by genes, neural activity, and neuromodulation; nanoscale features of neural circuits that predict behavioral biases at the individual level; and experimental and theoretical evidence that behavioral variability may reflect an adaptive bet-hedging strategy. I conclude with a brief discussion of how large datasets like connectomes and long-term behavioral recordings will inform our understanding of the mechanisms underpinning behavioral individuality.
期刊介绍:
The Annual Review of Cell and Developmental Biology, established in 1985, comprehensively addresses major advancements in cell and developmental biology. Encompassing the structure, function, and organization of cells, as well as the development and evolution of cells in relation to both single and multicellular organisms, the journal explores models and tools of molecular biology. As of the current volume, the journal has transitioned from gated to open access through Annual Reviews' Subscribe to Open program, making all articles published under a CC BY license.