Cycles upon cycles-Temperature scaling of medaka development.
6 affiliations
- 1Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg 69117, Germany.
- 2Department of Physics, McGill University, Montreal, QC H3A 2T8, Canada.
- 3Center for Organismal Studies, University of Heidelberg, Heidelberg 69120, Germany.
- 4Departement de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC H3T 1J4, Canada.
- 5Institut Courtois d'Innovation Biomédicale, Montreal, QC H3T 1J4, Canada.
- 6Mila Quebec AI Institute, Montreal, QC H2S 3H1, Canada.
Abstract
How organisms develop in dynamic environmental conditions is a fundamental question. We asked how day-night temperature cycles impact embryonic axis elongation and segmentation, itself a cyclic process linked to the segmentation clock, using the Japanese rice fish medaka. We developed an unbiased dimensional reduction approach, based on Singular Value Decomposition, to reliably identify the dynamic modes of segmentation clock oscillations across all temperature conditions. We reveal that the two major dynamic modes show opposite temperature sensitivities: While the temporal oscillation (mode 1) varies strongly with temperature, the spatial phase gradient (mode 2) appears largely temperature invariant. In addition, we found developmental parameters with intermediate, subscaled temperature responses, such as axis elongation. We used theoretical modeling to understand how dynamic modes emerge from the underlying local oscillation dynamics and axis elongation. We then exposed embryos to circadian and ultradian temperature cycles to reveal dynamic response patterns of oscillations and axis elongation, and found how these responses are integrated into morphological features. Combined, our theoretical-experimental results support a model in which the dynamic integration of temporal (i.e. segmentation clock related) and spatial (i.e. axis elongation) processes, in particular their subscaled temperature response patterns, quantitatively compensate each other to yield a robust, temperature-invariant axis patterning outcome.
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BibTeX
@article{chhabra2026cycles,
title = {{Cycles upon cycles-Temperature scaling of medaka development.}},
author = {Sapna Chhabra and Victoria Mochulska and Carina B Vibe and Anubhuti Anushree and Kristina S Stapornwongkul and Thomas Thumberger and Joachim Wittbrodt and Paul François and Alexander Aulehla},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2026},
month = oct,
doi = {10.1073/pnas.2619120123},
url = {https://europepmc.org/article/MED/42848421},
note = {CC BY},
}
RIS
TY - JOUR
TI - Cycles upon cycles-Temperature scaling of medaka development.
AU - Sapna Chhabra
AU - Victoria Mochulska
AU - Carina B Vibe
AU - Anubhuti Anushree
AU - Kristina S Stapornwongkul
AU - Thomas Thumberger
AU - Joachim Wittbrodt
AU - Paul François
AU - Alexander Aulehla
PY - 2026
DA - 2026/10/08
JO - Proceedings of the National Academy of Sciences of the United States of America
DO - 10.1073/pnas.2619120123
UR - https://europepmc.org/article/MED/42848421
AB - How organisms develop in dynamic environmental conditions is a fundamental question. We asked how day-night temperature cycles impact embryonic axis elongation and segmentation, itself a cyclic process linked to the segmentation clock, using the Japanese rice fish medaka. We developed an unbiased dimensional reduction approach, based on Singular Value Decomposition, to reliably identify the dynamic modes of segmentation clock oscillations across all temperature conditions. We reveal that the two major dynamic modes show opposite temperature sensitivities: While the temporal oscillation (mode 1) varies strongly with temperature, the spatial phase gradient (mode 2) appears largely temperature invariant. In addition, we found developmental parameters with intermediate, subscaled temperature responses, such as axis elongation. We used theoretical modeling to understand how dynamic modes emerge from the underlying local oscillation dynamics and axis elongation. We then exposed embryos to circadian and ultradian temperature cycles to reveal dynamic response patterns of oscillations and axis elongation, and found how these responses are integrated into morphological features. Combined, our theoretical-experimental results support a model in which the dynamic integration of temporal (i.e. segmentation clock related) and spatial (i.e. axis elongation) processes, in particular their subscaled temperature response patterns, quantitatively compensate each other to yield a robust, temperature-invariant axis patterning outcome.
SN - 0027-8424
SN - 1091-6490
ER -