Quantification of cell behaviors and computational modeling show that cell directional behaviors drive zebrafish pectoral fin morphogenesis

Author:

Dokmegang Joel1ORCID,Nguyen Hanh2,Kardash Elena2,Savy Thierry23,Cavaliere Matteo1,Peyriéras Nadine23,Doursat René23

Affiliation:

1. Centre for Advanced Computational Science, Manchester Metropolitan University, Manchester M15 6BH, UK

2. BioEmergences, FRE2039, CNRS Université Paris Saclay, Gif-sur-Yvette 91190, France

3. Complex Systems Institute, Paris Ile-de-France, Paris 75013, France

Abstract

Abstract Motivation Understanding the mechanisms by which the zebrafish pectoral fin develops is expected to produce insights on how vertebrate limbs grow from a 2D cell layer to a 3D structure. Two mechanisms have been proposed to drive limb morphogenesis in tetrapods: a growth-based morphogenesis with a higher proliferation rate at the distal tip of the limb bud than at the proximal side, and directed cell behaviors that include elongation, division and migration in a non-random manner. Based on quantitative experimental biological data at the level of individual cells in the whole developing organ, we test the conditions for the dynamics of pectoral fin early morphogenesis. Results We found that during the development of the zebrafish pectoral fin, cells have a preferential elongation axis that gradually aligns along the proximodistal (PD) axis of the organ. Based on these quantitative observations, we build a center-based cell model enhanced with a polarity term and cell proliferation to simulate fin growth. Our simulations resulted in 3D fins similar in shape to the observed ones, suggesting that the existence of a preferential axis of cell polarization is essential to drive fin morphogenesis in zebrafish, as observed in the development of limbs in the mouse, but distal tip-based expansion is not. Availabilityand implementation Upon publication, biological data will be available at http://bioemergences.eu/modelingFin, and source code at https://github.com/guijoe/MaSoFin. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

European Union’s Horizon 2020 Research and Innovation Programme

French National Research Agency

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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