Trigger hair thermoreceptors provide for heat-induced calcium-electrical excitability in Venus flytrap

生物 热感受器 生态学 警报 神经科学 材料科学 感觉系统 复合材料
作者
Shouguang Huang,Rainer Hedrich
出处
期刊:Current Biology [Elsevier BV]
卷期号:33 (18): 3962-3968.e2 被引量:2
标识
DOI:10.1016/j.cub.2023.07.069
摘要

Most plants suffer greatly from heat in general and fire in particular, but some can profit from what is called fire ecology.1Dionaea muscipula, the Venus flytrap, is one such plant. In its natural habitat in the Green Swamps, Dionaea often faces challenges from excessive growth of grass and evergreen shrubs that overshadow the plant.2 Without natural fire, the Dionaea populations would decline.3 How does Dionaea survive and even thrive after swamp fires? Here, we ask whether flytraps recognize heat waves at the forefront of swamp fires and demonstrate that a heat-sensor-based alarm may provide a fire survival strategy for them. In this study, we show that flytraps become electrically excited and close in response to a heat wave. Over a critical temperature of 38°C, traps fire action potentials (APs), which are interconnected with cytosolic Ca2+ transients. The heat-induced Ca2+-AP has a 3-min refractory period, yet traps still respond to cold, voltage, and glutamate. The heat responses were trap specific, emerging only when the trap became excitable. Upon heat stimulation, the Ca2+ wave originates in the trigger hair podium, indicating that the mechanosensory zone serves as a heat receptor organ. In contrast to the human heat receptor, the flytrap sensor detects temperature change rather than the absolute body temperature. We propose that by sensing the temperature differential, flytraps can recognize the heat of an approaching fire, thus closing before the trigger hairs are burned, while they can continue to catch prey throughout hot summers.
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
张明玉发布了新的文献求助30
刚刚
Yue完成签到,获得积分10
刚刚
刚刚
小马哥发布了新的文献求助10
2秒前
lagertha完成签到,获得积分10
2秒前
凶狠的猎豹完成签到,获得积分10
3秒前
可爱的霖霖兔完成签到,获得积分10
3秒前
大海完成签到,获得积分10
3秒前
JamesPei应助卡拉瓦乔采纳,获得10
4秒前
薄荷水发布了新的文献求助10
4秒前
ZC发布了新的文献求助10
4秒前
Arthur完成签到 ,获得积分10
5秒前
5秒前
5秒前
温柔的夜柳完成签到,获得积分10
5秒前
tigger完成签到 ,获得积分10
6秒前
单纯乞完成签到,获得积分10
6秒前
myy完成签到,获得积分10
7秒前
小马哥完成签到,获得积分10
7秒前
江雁完成签到,获得积分10
8秒前
科研通AI5应助MrH采纳,获得10
8秒前
润润轩轩发布了新的文献求助10
8秒前
8秒前
李爱国应助Yue采纳,获得10
9秒前
10秒前
薄荷水完成签到,获得积分10
12秒前
wx应助旺阿旺采纳,获得10
12秒前
喜悦的飞机完成签到,获得积分10
14秒前
14秒前
kk发布了新的文献求助10
14秒前
老木虫发布了新的文献求助10
14秒前
ws完成签到,获得积分10
14秒前
14秒前
虎咪咪完成签到,获得积分10
15秒前
15秒前
木子完成签到,获得积分10
15秒前
无奈曼云完成签到,获得积分10
15秒前
heyan完成签到,获得积分10
16秒前
MJS发布了新的文献求助30
16秒前
高贵幻梅应助科研通管家采纳,获得10
16秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
Study of enhancing employee engagement at workplace by adopting internet of things 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3837906
求助须知:如何正确求助?哪些是违规求助? 3379958
关于积分的说明 10511877
捐赠科研通 3099610
什么是DOI,文献DOI怎么找? 1707177
邀请新用户注册赠送积分活动 821447
科研通“疑难数据库(出版商)”最低求助积分说明 772617