Wind gates olfaction-driven search states in free flight

生物 嗅觉 黑腹果蝇 层流 风向 模拟 计算机科学 航空航天工程 风速 气象学 生态学 物理 工程类 生物化学 基因
作者
S. David Stupski,Floris van Breugel
出处
期刊:Current Biology [Elsevier]
卷期号:34 (19): 4397-4411.e6 被引量:2
标识
DOI:10.1016/j.cub.2024.07.009
摘要

For organisms tracking a chemical cue to its source, the motion of their surrounding fluid provides crucial information for success. Swimming and flying animals engaged in olfaction-driven search often start by turning into the direction of an oncoming wind or water current. However, it is unclear how organisms adjust their strategies when directional cues are absent or unreliable, as is often the case in nature. Here, we use the genetic toolkit of Drosophila melanogaster to develop an optogenetic paradigm to deliver temporally precise "virtual" olfactory experiences for free-flying animals in either laminar wind or still air. We first confirm that in laminar wind flies turn upwind. Furthermore, we show that they achieve this using a rapid (∼100 ms) turn, implying that flies estimate the ambient wind direction prior to "surging" upwind. In still air, flies adopt a remarkably stereotyped "sink and circle" search state characterized by ∼60° turns at 3-4 Hz, biased in a consistent direction. Together, our results show that Drosophila melanogaster assesses the presence and direction of ambient wind prior to deploying a distinct search strategy. In both laminar wind and still air, immediately after odor onset, flies decelerate and often perform a rapid turn. Both maneuvers are consistent with predictions from recent control theoretic analyses for how insects may estimate properties of wind while in flight. We suggest that flies may use their deceleration and "anemometric" turn as active sensing maneuvers to rapidly gauge properties of their wind environment before initiating a proximal or upwind search routine.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
整齐向卉发布了新的文献求助10
1秒前
研友_VZG7GZ应助南山采纳,获得10
1秒前
3秒前
NexusExplorer应助xiao采纳,获得10
3秒前
NexusExplorer应助大锤采纳,获得10
4秒前
小富发布了新的文献求助150
5秒前
ZHYU完成签到,获得积分10
6秒前
7秒前
lucygaga完成签到 ,获得积分10
7秒前
9秒前
10秒前
11秒前
小孙完成签到,获得积分10
13秒前
xiuxiuzhang发布了新的文献求助20
14秒前
15秒前
twk发布了新的文献求助10
15秒前
淡定发布了新的文献求助10
15秒前
科研通AI2S应助Desserts采纳,获得10
16秒前
善学以致用应助诸乌采纳,获得10
16秒前
wangqing发布了新的文献求助10
16秒前
不安青牛应助dan采纳,获得20
16秒前
18秒前
国内非著名科研小白菜完成签到,获得积分10
19秒前
19秒前
搜集达人应助Niuma采纳,获得20
20秒前
小米辣完成签到,获得积分10
20秒前
万能图书馆应助迷路睫毛采纳,获得30
20秒前
21秒前
yang发布了新的文献求助10
21秒前
我是老大应助科研通管家采纳,获得10
21秒前
louisselibere关注了科研通微信公众号
22秒前
完美世界应助科研通管家采纳,获得10
22秒前
脑洞疼应助科研通管家采纳,获得10
22秒前
22秒前
22秒前
沉默天德完成签到,获得积分10
22秒前
twk完成签到,获得积分10
23秒前
Nice完成签到,获得积分10
23秒前
斯文败类应助淡定采纳,获得10
24秒前
24秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3158072
求助须知:如何正确求助?哪些是违规求助? 2809436
关于积分的说明 7881999
捐赠科研通 2467898
什么是DOI,文献DOI怎么找? 1313783
科研通“疑难数据库(出版商)”最低求助积分说明 630538
版权声明 601943