Whole-animal connectomes of both Caenorhabditis elegans sexes

秀丽隐杆线虫 连接体 生物 动物 进化生物学 神经科学 遗传学 基因 功能连接
作者
Steven J. Cook,Travis A. Jarrell,Christopher A. Brittin,Yi Wang,Adam Bloniarz,Maksim A. Yakovlev,Ken C. Q. Nguyen,Leo T. H. Tang,Emily A. Bayer,Janet S. Duerr,Hannes E. Bülow,Oliver Hobert,David H. Hall,Scott W. Emmons
出处
期刊:Nature [Nature Portfolio]
卷期号:571 (7763): 63-71 被引量:813
标识
DOI:10.1038/s41586-019-1352-7
摘要

Knowledge of connectivity in the nervous system is essential to understanding its function. Here we describe connectomes for both adult sexes of the nematode Caenorhabditis elegans, an important model organism for neuroscience research. We present quantitative connectivity matrices that encompass all connections from sensory input to end-organ output across the entire animal, information that is necessary to model behaviour. Serial electron microscopy reconstructions that are based on the analysis of both new and previously published electron micrographs update previous results and include data on the male head. The nervous system differs between sexes at multiple levels. Several sex-shared neurons that function in circuits for sexual behaviour are sexually dimorphic in structure and connectivity. Inputs from sex-specific circuitry to central circuitry reveal points at which sexual and non-sexual pathways converge. In sex-shared central pathways, a substantial number of connections differ in strength between the sexes. Quantitative connectomes that include all connections serve as the basis for understanding how complex, adaptive behavior is generated. Quantitative connectivity matrices (or connectomes) for both adult sexes of the nematode Caenorhabditis elegans are presented that encompass all connections from sensory input to end-organ output across the entire animal.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
DD发布了新的文献求助30
刚刚
薯条精发布了新的文献求助10
刚刚
SciGPT应助风中芷波采纳,获得10
刚刚
n27O72完成签到,获得积分10
刚刚
1秒前
刘同学发布了新的文献求助10
1秒前
ling发布了新的文献求助10
1秒前
爱撒娇的又菡完成签到 ,获得积分20
2秒前
dique3hao完成签到 ,获得积分10
2秒前
英俊的铭应助Cheny采纳,获得30
2秒前
英俊的铭应助活力的静曼采纳,获得10
3秒前
传奇3应助糖璃采纳,获得10
3秒前
3秒前
越狱兔完成签到,获得积分10
3秒前
12345656656完成签到,获得积分10
4秒前
无限亦寒发布了新的文献求助10
4秒前
4秒前
ldh发布了新的文献求助30
4秒前
王王的苏完成签到,获得积分10
4秒前
4秒前
房延彤应助奋斗不悔采纳,获得10
4秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
5秒前
无花果应助科研通管家采纳,获得10
5秒前
爆米花应助科研通管家采纳,获得10
5秒前
Orange应助科研通管家采纳,获得10
5秒前
totoro完成签到,获得积分10
5秒前
5秒前
隐形曼青应助科研通管家采纳,获得10
5秒前
传奇3应助科研通管家采纳,获得10
5秒前
在水一方应助科研通管家采纳,获得10
5秒前
wanglejia完成签到,获得积分10
5秒前
bkagyin应助科研通管家采纳,获得10
5秒前
小鱼鱼Fish完成签到,获得积分10
5秒前
5秒前
酷酷柚子应助科研通管家采纳,获得10
5秒前
April完成签到 ,获得积分10
5秒前
5秒前
5秒前
冬日空虚应助科研通管家采纳,获得10
5秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6498758
求助须知:如何正确求助?哪些是违规求助? 8294613
关于积分的说明 17699397
捐赠科研通 5595018
什么是DOI,文献DOI怎么找? 2917731
邀请新用户注册赠送积分活动 1894769
关于科研通互助平台的介绍 1755456