Physiological Evidence for the Discrimination ofl-Arginine From Structural Analogues by the Zebrafish Olfactory System

Author:

Lipschitz D. L.1,Michel W. C.1

Affiliation:

1. Department of Physiology, University of Utah School of Medicine, Salt Lake City, Utah 84108-1270

Abstract

Although it is generally assumed that fish are capable of discriminating amino acid odorants on the basis of differences in side-chain structure, less is known about their ability to discriminate amino acids with modifications to α-carboxyl and α-amino groups. In this study, the ability of the zebrafish olfactory system to detect and presumably discriminate analogues of the basic amino acid Arg was assessed, by using cross-adaptation and activity-dependent labeling techniques. Electrophysiological recordings established that esterification (l-arginine methyl ester; AME) or deletion (agmatine or amino-4-guanidobutane; AGB) of the α-carboxyl group yielded odorants more potent than Arg, whereas deletion of the α-amino group (l-argininic acid; AA) yielded a less potent analogue. In cross-adaptation experiments, no test-competitor odorant combination yielded complete cross-adaptation, suggesting the detection of these Arg analogues by multiple odorant receptors (ORs) with partially nonoverlapping specificities. Activity-dependent immunocytochemical labeling of olfactory receptor neurons supported this conclusion. AGB, an ion-channel–permeant probe (and odorant), labeled 4.9 ± 0.4% ( n = 24) of sensory epithelium, whereas the addition of Arg, 1-ethylguanidine sulfate, l-α-amino-β-guanidinopropionate, or AME to AGB resulted in a significant elevation of labeling (8–14%). This study provides evidence that the olfactory system has the potential to discriminate among amino acid odorants with modified α-carboxyl and α-amino groups.

Publisher

American Physiological Society

Subject

Physiology,General Neuroscience

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3