A Novel Food Delivery Method for Learning Studies Detects Significant Differences in Food Preference in Zebrafish

Despite decades of research with laboratory rodents, the mechanisms underlying learning and memory, and their impairment, are still not fully understood. The zebrafish is a newcomer in this research area, but it has shown great promise. Food is often employed as a reinforcer in learning tasks with rodents. However, for zebrafish, food has been a problematic reinforcer. Controlling timing and localization of its delivery is difficult. What food types zebrafish prefer is also rarely studied? Here, we describe a novel food delivery hardware and procedure. The apparatus is simple, cheap to manufacture, and easy to employ. Using this new method, we compare how zebrafish respond to three food types, artemia nauplii, crushed tropical fish flakes, and small zebrafish pellets. In binary choice tasks, we show that zebrafish spend significantly more time near the artemia delivery cylinder, swim closer to, and visit this cylinder more frequently compared to food cylinders delivering flakes or pellets, while responses to these latter two cylinders do not differ from each other. We conclude that the newly developed method allows the quantification of food preference in zebrafish, and that it will lead to the identification of highly rewarding food types for learning studies in this species.

Authors

Institutions

Publication Details

Journal
Zebrafish
Published
2025-02-01
DOI
https://doi.org/10.1089/zeb.2024.0176
Citations
2
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
2.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Food Delivery Method for Learning Studies Detects Significant Differences in Food Preference in Zebrafish

Robert Gerlai, Hemali Patel, Amira Abozaid, Melissa Scaramuzzo
2 citations
Zebrafish
Zebrafish Biomedical Research Applications
2.30
article

A Novel Food Delivery Method for Learning Studies Detects Significant Differences in Food Preference in Zebrafish

Robert Gerlai, Hemali Patel, Amira Abozaid, Melissa Scaramuzzo
article en
2 citations

Abstract

Despite decades of research with laboratory rodents, the mechanisms underlying learning and memory, and their impairment, are still not fully understood. The zebrafish is a newcomer in this research area, but it has shown great promise. Food is often employed as a reinforcer in learning tasks with rodents. However, for zebrafish, food has been a problematic reinforcer. Controlling timing and localization of its delivery is difficult. What food types zebrafish prefer is also rarely studied? Here, we describe a novel food delivery hardware and procedure. The apparatus is simple, cheap to manufacture, and easy to employ. Using this new method, we compare how zebrafish respond to three food types, artemia nauplii, crushed tropical fish flakes, and small zebrafish pellets. In binary choice tasks, we show that zebrafish spend significantly more time near the artemia delivery cylinder, swim closer to, and visit this cylinder more frequently compared to food cylinders delivering flakes or pellets, while responses to these latter two cylinders do not differ from each other. We conclude that the newly developed method allows the quantification of food preference in zebrafish, and that it will lead to the identification of highly rewarding food types for learning studies in this species.

ZebrafishVol. 22(1)
University of Toronto (CA)
Zero hunger
Openalex Percentile: Top 16%
Zebrafish Biomedical Research Applications
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.