Neurogenetics of Behaviour
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Genetics and Genomics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 2623
Special Issue Editors
Interests: neurogenetics; behavioural genetics; Drosophila; crustacea; biological rhythms
Special Issue Information
Dear Colleagues,
More than 50 years ago, Seymour Benzer and David Suzuki initiated a new approach to dissecting the function of the nervous system by using genetics on one hand and behaviour on the other. This approach was called ‘neurogenetics’, and was initially applied to Drosophila. The fly has seen the most breath-taking advances in the development of a molecular genetic toolkit that can be applied to studying brain and behaviour in ways that would have appeared inconceivable in 1970, culminating with the 2017 Nobel Prize in Physiology or Medicine awarded to Hall, Rosbash and Young for their neurogenetic dissection of the fly’s circadian behaviour. However, work in other genetic model species, particularly nematodes and mice, has also made significant advances in the neurogenetic analysis of behavioural phenotypes and includes the use of flies, worms and mice as powerful models for studying human neurodegenerative disorders. Non-model species, often of more ecological interest, where the underlying genetics is less tractable, can now also be studied with ‘omic’ approaches followed in some cases by targeted mutagenesis using RNAi or CRISPR/Cas9 gene editing. Understanding the complex relationship between brain and behaviour both in health and disease will provide one of the most difficult challenges to 21st century biology.
This Special Issue is dedicated to neurogenetics in its broadest sense, and will highlight the different approaches currently being used to study this exciting area of behavioural research.
Prof. Dr. Charalambos Kyriacou
Prof. Dr. Ezio Rosato
Guest Editors
Manuscript Submission Information
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Keywords
- behaviour
- genetics
- molecules
- species
- brain
- networks
- health
- disease
