New mimics of the acetate function in pheromone-based attraction

被引:12
|
作者
Hoskovec, M [1 ]
Hovorka, O [1 ]
Kalinova, B [1 ]
Koutek, B [1 ]
Streinz, L [1 ]
Svatos, A [1 ]
Sebek, P [1 ]
Saman, D [1 ]
Vrkoc, J [1 ]
机构
[1] ACAD SCI CZECH REPUBL,INST ORGAN CHEM & BIOCHEM,CR-16610 PRAGUE 6,CZECH REPUBLIC
关键词
D O I
10.1016/0968-0896(96)00029-6
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Several analogues of (Z)-8-dodecenyl acetate (1a), the major pheromone component of the Oriental fruit moth, Cydia molesta, with chloroformate and lactone functional groups in place of the acetate moiety, were synthesized and investigated for their biological activity at four evaluation levels, i.e. by electroantennography (EAG), electrosensillography (ESG), short-range sexual stimulation and activation in the flight-tunnel. We found very strict requirements on the shape as well as on the electron distribution of the acetate group for a productive interaction with the receptor. The behavioral results showed that, among the analogues investigated, the chloroformate 1b, alken-4-olide 2a and also dodecyl acetate (1c) possess significant (60-85%) inhibitory activities. Based on electrophysiological evidence demonstrating that (i) only 1b is competing with the major pheromone component la for the same receptor sites on the male antennal sensilla, (ii) 1c elicits moderate EAG but no ESG responses and (iii) 2a does not produce any electrophysiological response at all, three possible inhibitory mechanisms by which these analogues are acting could be distinguished. Copyright (C) 1996 Elsevier Science Ltd
引用
收藏
页码:479 / 488
页数:10
相关论文
共 50 条
  • [1] Pheromone-Based Concept in Ant Clustering
    Ngenkaew, Warangkhana
    Ono, Satoshi
    Nakayama, Shigeru
    2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 308 - +
  • [2] An analytic approach to pheromone-based coordination
    Brueckner, SA
    FOURTH INTERNATIONAL CONFERENCE ON MULTIAGENT SYSTEMS, PROCEEDINGS, 2000, : 369 - 370
  • [3] Pheromone-based coordination for manufacturing system control
    Wang, Lei
    Tang, Dun-Bing
    Gu, Wen-Bin
    Zheng, Kun
    Yuan, Wei-Dong
    Tang, Ding-Shan
    JOURNAL OF INTELLIGENT MANUFACTURING, 2012, 23 (03) : 747 - 757
  • [4] Pervasive Pheromone-Based Interaction with RFID Tags
    Mamei, Marco
    Zambonelli, Franco
    ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2007, 2 (02)
  • [5] Opportunistic Message Broadcasting with Pheromone-based Caching
    Sueda, Tomoyuki
    Hayashibara, Naohiro
    2018 16TH IEEE INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP, 16TH IEEE INT CONF ON PERVAS INTELLIGENCE AND COMP, 4TH IEEE INT CONF ON BIG DATA INTELLIGENCE AND COMP, 3RD IEEE CYBER SCI AND TECHNOL CONGRESS (DASC/PICOM/DATACOM/CYBERSCITECH), 2018, : 435 - 440
  • [6] Pheromone-based coordination for manufacturing system control
    Lei Wang
    Dun-Bing Tang
    Wen-Bin Gu
    Kun Zheng
    Wei-Dong Yuan
    Ding-Shan Tang
    Journal of Intelligent Manufacturing, 2012, 23 : 747 - 757
  • [7] Non-target Gelechiidae and Noctuidae attraction to Aroga trialbamaculella (Lepidoptera: Gelechiidae) pheromone-based trapping systems
    Kelly, Jillian A.
    Avery, Trevor S.
    Stewart, Donald T.
    Cutler, Christopher G.
    Gaul, Sonia O.
    MacKenzie, Kenna E.
    Hillier, N. Kirk
    CANADIAN ENTOMOLOGIST, 2013, 145 (01): : 48 - 52
  • [8] Pheromone-Based Approach for Scalable Task Allocation
    Leong, Wai Lun
    Cao, Jiawei
    Huang, Sunan
    Teo, Rodney
    2022 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2022, : 220 - 227
  • [9] φClust: Pheromone-based Aggregation for Robotic Swarms
    Arvin, Farshad
    Turgut, Ali Emre
    Krajnik, Tomas
    Rahimi, Salar
    Okay, Ilkin Ege
    Yue, Shigang
    Watson, Simon
    Lennox, Barry
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 4288 - 4294
  • [10] Implementing pheromone-based, negotiating forager agents
    Coffey, Simon
    Gaertner, Dorian
    COMPUTATIONAL LOGIC IN MULTI-AGENT SYSTEMS, 2006, 3900 : 385 - 395