Electric fish genomics: Progress, prospects, and new tools for neuroethology

William R. Pitchers, Savvas J. Constantinou, Mauricio Losilla, Jason R. Gallant
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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.

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电鱼基因组学:进展、前景和神经行为学的新工具
自18世纪以来,电鱼一直是生物学中的一个模型系统,为生物电发生的本质、突触的分子结构和复杂行为背后的脑回路提供了深刻的见解。神经行为学家收集了广泛的表型数据,涵盖了从分子到生态系统的生物学分析水平。这些表型数据,加上过去几十年获得的基因组资源,激发了新的令人兴奋的假设,使弱电鱼模型能够解决21世纪的基本生物学问题。这篇综述文章考虑了过去三十年来收集到的关于弱电鱼的分子数据,以及这些数据所激发的见解。对于对分子遗传学技术相对陌生的读者,我们还提供了一个术语表,旨在澄清伴随该领域的众多首字母缩略词和技术。接下来,我们提出了未来10年扩大电鱼研究基因组资源的研究议程。最后,我们考虑了一些令人兴奋的神经行为学研究前景,如果电鱼社区在这些努力中取得成功,电鱼基因组学可能在未来几十年提供。
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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
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.
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