Title |
The French press: a repeatable and high-throughput approach to exercising zebrafish (Danio rerio)
|
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Published in |
PeerJ, January 2018
|
DOI | 10.7717/peerj.4292 |
Pubmed ID | |
Authors |
Takuji Usui, Daniel W.A. Noble, Rose E. O’Dea, Melissa L. Fangmeier, Malgorzata Lagisz, Daniel Hesselson, Shinichi Nakagawa |
Abstract |
Zebrafish are increasingly used as a vertebrate model organism for various traits including swimming performance, obesity and metabolism, necessitating high-throughput protocols to generate standardized phenotypic information. Here, we propose a novel and cost-effective method for exercising zebrafish, using a coffee plunger and magnetic stirrer. To demonstrate the use of this method, we conducted a pilot experiment to show that this simple system provides repeatable estimates of maximal swim performance (intra-class correlation [ICC] = 0.34-0.41) and observe that exercise training of zebrafish on this system significantly increases their maximum swimming speed. We propose this high-throughput and reproducible system as an alternative to traditional linear chamber systems for exercising zebrafish and similarly sized fishes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 23% |
Canada | 7 | 9% |
Australia | 6 | 8% |
United Kingdom | 4 | 5% |
France | 4 | 5% |
Sri Lanka | 1 | 1% |
Hong Kong | 1 | 1% |
Mexico | 1 | 1% |
Spain | 1 | 1% |
Other | 7 | 9% |
Unknown | 30 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 38 | 48% |
Scientists | 38 | 48% |
Practitioners (doctors, other healthcare professionals) | 3 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Student > Master | 5 | 14% |
Student > Doctoral Student | 4 | 11% |
Researcher | 4 | 11% |
Other | 1 | 3% |
Other | 5 | 14% |
Unknown | 6 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 34% |
Neuroscience | 5 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Engineering | 2 | 6% |
Other | 2 | 6% |
Unknown | 10 | 29% |