William R. Pitchers, Savvas J. Constantinou, Mauricio Losilla, Jason R. Gallant
{"title":"Electric fish genomics: Progress, prospects, and new tools for neuroethology","authors":"William R. Pitchers, Savvas J. Constantinou, Mauricio Losilla, Jason R. Gallant","doi":"10.1016/j.jphysparis.2016.10.003","DOIUrl":null,"url":null,"abstract":"<div><p>Electric fish have served as a model system in biology since the 18th century, providing deep insight into the nature of bioelectrogenesis, the molecular structure of the synapse, and brain circuitry underlying complex behavior. Neuroethologists have collected extensive phenotypic data that span biological levels of analysis from molecules to ecosystems. This phenotypic data, together with genomic resources obtained over the past decades, have motivated new and exciting hypotheses that position the weakly electric fish model to address fundamental 21<sup>st</sup> century biological questions. This review article considers the molecular data collected for weakly electric fish over the past three decades, and the insights that data of this nature has motivated. For readers relatively new to molecular genetics techniques, we also provide a table of terminology aimed at clarifying the numerous acronyms and techniques that accompany this field. Next, we pose a research agenda for expanding genomic resources for electric fish research over the next 10<!--> <!-->years. We conclude by considering some of the exciting research prospects for neuroethology that electric fish genomics may offer over the coming decades, if the electric fish community is successful in these endeavors.</p></div>","PeriodicalId":50087,"journal":{"name":"Journal of Physiology-Paris","volume":"110 3","pages":"Pages 259-272"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jphysparis.2016.10.003","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physiology-Paris","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928425716300079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 8
Abstract
Electric fish have served as a model system in biology since the 18th century, providing deep insight into the nature of bioelectrogenesis, the molecular structure of the synapse, and brain circuitry underlying complex behavior. Neuroethologists have collected extensive phenotypic data that span biological levels of analysis from molecules to ecosystems. This phenotypic data, together with genomic resources obtained over the past decades, have motivated new and exciting hypotheses that position the weakly electric fish model to address fundamental 21st century biological questions. This review article considers the molecular data collected for weakly electric fish over the past three decades, and the insights that data of this nature has motivated. For readers relatively new to molecular genetics techniques, we also provide a table of terminology aimed at clarifying the numerous acronyms and techniques that accompany this field. Next, we pose a research agenda for expanding genomic resources for electric fish research over the next 10 years. We conclude by considering some of the exciting research prospects for neuroethology that electric fish genomics may offer over the coming decades, if the electric fish community is successful in these endeavors.
期刊介绍:
Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.