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
跳跃靖发布了新的文献求助10
刚刚
agui发布了新的文献求助10
1秒前
小二郎应助小众采纳,获得10
1秒前
宇宙里风轻舞完成签到,获得积分10
1秒前
tong完成签到,获得积分10
2秒前
2秒前
lqy发布了新的文献求助10
2秒前
3秒前
迅速冰岚发布了新的文献求助10
3秒前
3秒前
科研通AI6.2应助孙傲采纳,获得10
3秒前
water完成签到,获得积分10
4秒前
guihai发布了新的文献求助10
4秒前
wanwayone完成签到,获得积分10
4秒前
星辰大海应助从容迎曼采纳,获得10
4秒前
CodeCraft应助mia218采纳,获得10
4秒前
科研通AI6.1应助yzm采纳,获得10
5秒前
科研通AI6.2应助yzm采纳,获得10
5秒前
xiaoxiao1992发布了新的文献求助10
5秒前
现代秋天发布了新的文献求助10
5秒前
张焕完成签到,获得积分10
5秒前
5秒前
6秒前
Lucas应助lclc采纳,获得10
6秒前
6秒前
小圆发布了新的文献求助10
6秒前
alvin发布了新的文献求助10
6秒前
黄焖鸡完成签到,获得积分10
6秒前
李健的粉丝团团长应助cun采纳,获得30
7秒前
7秒前
dingkuiyuan完成签到,获得积分10
8秒前
哈基伟发布了新的文献求助10
8秒前
8秒前
8秒前
czcz完成签到,获得积分10
8秒前
Baonanza发布了新的文献求助10
9秒前
莹莹发布了新的文献求助10
9秒前
XYZONE应助迅速冰岚采纳,获得10
9秒前
清新的夏烟完成签到 ,获得积分10
9秒前
wu完成签到,获得积分10
10秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6489746
求助须知:如何正确求助?哪些是违规求助? 8287904
关于积分的说明 17682078
捐赠科研通 5579898
什么是DOI,文献DOI怎么找? 2914515
邀请新用户注册赠送积分活动 1891497
关于科研通互助平台的介绍 1749182