Functional Characterization of an Antenna-Biased Odorant Receptor AaOr96 Involved in Tea Tree Oil Repellency Against Aedes aegypti

埃及伊蚊 天线(收音机) 生物 植物 动物 计算机科学 电信 幼虫
作者
Mengli Chen,Zhanyi Xu,Guoxing Chen,Peitong Chen,Chunxia Tian,Jiali Qian,Tiefeng Song,Yongfeng Jin,Guonian Zhu,Ru Yan
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
标识
DOI:10.1021/acs.jafc.4c12301
摘要

Numerous essential oils have been well acknowledged as eco-friendly alternatives to combat insect pests due to synthetic insecticide-induced pest resistance and environment pollution. As a highly commercial essential oil, tea tree oil exhibits excellent insecticidal and repellent activities. However, the molecular mechanism of the olfactory system mediating the tea tree oil-induced repellency against insect pests remains unknown. In our study, mosquito was used as a suitable model to examine the molecular mechanism of tea tree oil-induced repellency against insect pests. The results showed that tea tree oil exhibited excellent spatial and oviposition repellency against Aedes aegypti adults and outstanding repellency against larvae, which were conferred by the main constituent terpinen-4-ol. The reduced repellency in the Orco–/– mutant strain revealed that tea tree oil-induced repellency against mosquitoes was dependent on odorant receptor(s). Moreover, we identified one antenna-biased odorant receptor, AaOr96, that was involved in detecting constituents of tea tree oil to elicit repellency, and the predicted protein–ligand complex indicated that AaOr96 interacted with terpinen-4-ol via van der Waals forces from five key residues. Finally, knocking out AaOr96 resulted in a reduced spatial repellency against A. aegypti by tea tree oil and terpinen-4-ol, and a reduced oviposition repellency by terpinen-4-ol, but not by tea tree oil. Our study not only reveals that tea tree oil has great potential in pest management but also provides more insights into the molecular basis of repellency of essential oils.
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
方源发布了新的文献求助10
1秒前
1秒前
2秒前
2秒前
賢様666发布了新的文献求助10
2秒前
4秒前
自信的坤完成签到,获得积分10
4秒前
英姑应助dadada采纳,获得10
4秒前
姚姚发布了新的文献求助10
4秒前
魈玖发布了新的文献求助10
5秒前
5秒前
科研通AI6.1应助言言柒采纳,获得10
5秒前
cwm发布了新的文献求助10
6秒前
田様应助LinCheng采纳,获得10
6秒前
6秒前
完美世界应助ZF采纳,获得10
7秒前
rocket发布了新的文献求助10
7秒前
发过的烦得很完成签到,获得积分10
7秒前
8秒前
在水一方应助方源采纳,获得10
8秒前
8秒前
晾猫人发布了新的文献求助10
8秒前
9秒前
CSH发布了新的文献求助100
9秒前
Vincey发布了新的文献求助10
9秒前
王霸发布了新的文献求助10
9秒前
Akim应助顺利采纳,获得10
10秒前
10秒前
peng_aihua完成签到,获得积分10
11秒前
HuiHui完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
天天天蓝发布了新的文献求助10
13秒前
小牛关注了科研通微信公众号
13秒前
开放水蜜桃完成签到,获得积分10
13秒前
王霸完成签到,获得积分10
13秒前
13秒前
隐形曼青应助张Z采纳,获得10
14秒前
cloud完成签到 ,获得积分10
14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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
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 6521186
求助须知:如何正确求助?哪些是违规求助? 8314345
关于积分的说明 17785394
捐赠科研通 5623444
什么是DOI,文献DOI怎么找? 2927589
邀请新用户注册赠送积分活动 1904375
关于科研通互助平台的介绍 1764542