Selected Grantee Publications
- Clear All
- 6 results found
- Aquatic Vertebrate Models
- 2021
- R43/R44 [SBIR]
Precise Visuomotor Transformations Underlying Collective Behavior in Larval Zebrafish
Harpaz et al., Nature Communications. 2021.
https://www.nature.com/articles/s41467-021-26748-0
Sensory signals from neighbors, analyzed in the visuomotor stream of animals, is poorly understood. The authors studied aggregation behavior in larval zebrafish and found that over development larvae transition from over dispersed groups to tight shoals. Young larvae turn away from virtual neighbors by integrating and averaging retina-wide visual occupancy within each eye, and by using a winner-take-all strategy for binocular integration. Observed algorithms accurately predict group structure over development. These findings allow testable predictions regarding the neuronal circuits underlying collective behavior in zebrafish. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Collective Behavior Emerges from Genetically Controlled Simple Behavioral Motifs in Zebrafish
Harpaz et al., Science Advances. 2021.
https://www.science.org/doi/10.1126/sciadv.abi7460
Harpaz et al. report that zebrafish regulate their proximity and alignment with each other at early larval stages. Two visual responses (one measuring relative visual field occupancy and one accounting for global visual motion), account for emerging group behavior. Mutations in genes known to affect social behavior in humans perturb these reflexes in individual larval zebrafish and change their emergent collective behaviors. Model simulations show that changes in these two responses in individual mutant animals predict well the distinctive collective patterns that emerge in a group. Hence, group behaviors reflect in part genetically defined primitive sensorimotor “motifs” evident in young larvae. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Deep Learning-Based Framework for Cardiac Function Assessment in Embryonic Zebrafish from Heart Beating Videos
Naderi et al., Computers in Biology and Medicine. 2021.
https://www.sciencedirect.com/science/article/pii/S0010482521003590
Zebrafish is a powerful model system for a host of biological investigations, cardiovascular studies, and genetic screening. However, the current methods for quantifying and monitoring zebrafish cardiac functions involve tedious manual work and inconsistent estimations. Naderi et al. developed a Zebrafish Automatic Cardiovascular Assessment Framework (ZACAF) based on a U-net deep learning model for automated assessment of cardiovascular indices, such as ejection fraction (EF) and fractional shortening (FS) from microscopic videos of wildtype and cardiomyopathy mutant zebrafish embryos. The framework could be widely applicable with any laboratory resources, and the automatic feature holds promise to enable efficient, consistent, and reliable processing and analysis capacity. Supported by ORIP (R44OD024874)
Algorithms Underlying Flexible Phototaxis in Larval Zebrafish
Chen et al., Journal of Experimental Biology. 2021.
https://pubmed.ncbi.nlm.nih.gov/34027982/
Given that physiological and environmental variables undergo constant fluctuations over time, how do biological control systems maintain control over these values? The authors demonstrate that larval zebrafish use phototaxis to maintain environmental luminance at a set point, that the value of this set point fluctuates on a time scale of seconds when environmental luminance changes, and it is determined by calculating the mean input across both sides of the visual field. Feedback from the surroundings drives allostatic changes to the luminance set point. The authors describe a novel behavioral algorithm with which larval zebrafish exert control over a sensory variable. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Larval Zebrafish Use Olfactory Detection of Sodium and Chloride to Avoid Salt Water
Herrera et al., Current Biology. 2021.
https://pubmed.ncbi.nlm.nih.gov/33338431/
Zebrafish are freshwater fish unable to tolerate high-salt environments and would benefit from neural mechanisms that enable the navigation of salt gradients to avoid high salinity. Yet zebrafish lack epithelial sodium channels, the primary conduit land animals use to taste sodium. This suggests fish may possess novel, undescribed mechanisms for salt detection. In the present study, the authors show that zebrafish indeed respond to small temporal increases in salt by reorienting more frequently. In summary, this study establishes that zebrafish larvae can navigate and thus detect salinity gradients and that this is achieved through previously undescribed sensory mechanisms for salt detection. Supported by ORIP (R43OD024879, R44OD024879) and NINDS.
Acoustofluidic Rotational Tweezing Enables High-Speed Contactless Morphological Phenotyping of Zebrafish Larvae
Chen et al., Nature Communications. 2021.
https://pubmed.ncbi.nlm.nih.gov/33602914/
These authors demonstrate an acoustofluidic rotational tweezing platform that enables contactless, high-speed, 3D multispectral imaging and digital reconstruction of zebrafish larvae for quantitative phenotypic analysis. The acoustic-induced polarized vortex streaming achieves contactless and rapid (~1 s/rotation) rotation of zebrafish larvae enabling multispectral imaging of the zebrafish body and internal organs. They developed a 3D reconstruction pipeline that yields accurate 3D models based on the multi-view images for quantitative evaluation. With its contactless nature and advantages in speed and automation, the acoustofluidic rotational tweezing system has the potential to be a valuable asset for developmental biology and pre-clinical drug development in pharmacology. Supported by ORIP (R43OD024963), NCI, and NIGMS.