Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution

The spindle shows remarkable diversity, and changes in an integrated fashion, as cells vary over evolution. Here, we provide a mechanistic explanation for variations in the first mitotic spindle in nematodes. We used a combination of quantitative genetics and biophysics to rule out broad classes of...

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Main Authors: Reza Farhadifar, Che-Hang Yu, Gunar Fabig, Hai-Yin Wu, David B Stein, Matthew Rockman, Thomas Müller-Reichert, Michael J Shelley, Daniel J Needleman
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2020-09-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/55877
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spelling doaj-eb04c23e32e04443a9ab2e61aafb1e5c2021-05-05T21:32:38ZengeLife Sciences Publications LtdeLife2050-084X2020-09-01910.7554/eLife.55877Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolutionReza Farhadifar0https://orcid.org/0000-0003-2792-5380Che-Hang Yu1https://orcid.org/0000-0002-0353-9752Gunar Fabig2https://orcid.org/0000-0003-3017-0978Hai-Yin Wu3David B Stein4Matthew Rockman5https://orcid.org/0000-0001-6492-8906Thomas Müller-Reichert6https://orcid.org/0000-0003-0203-1436Michael J Shelley7Daniel J Needleman8Department of Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, United States; Center for Computational Biology, Flatiron Institute, New York, United StatesDepartment of Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, United StatesExperimental Center, Faculty of Medicine Carl Gustav Carus, Dresden, GermanyDepartment of Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, United StatesCenter for Computational Biology, Flatiron Institute, New York, United StatesDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, United StatesExperimental Center, Faculty of Medicine Carl Gustav Carus, Dresden, GermanyCenter for Computational Biology, Flatiron Institute, New York, United States; Courant Institute, New York University, New York, United StatesDepartment of Molecular and Cellular Biology and School of Engineering and Applied Sciences, Harvard University, Cambridge, United States; Center for Computational Biology, Flatiron Institute, New York, United StatesThe spindle shows remarkable diversity, and changes in an integrated fashion, as cells vary over evolution. Here, we provide a mechanistic explanation for variations in the first mitotic spindle in nematodes. We used a combination of quantitative genetics and biophysics to rule out broad classes of models of the regulation of spindle length and dynamics, and to establish the importance of a balance of cortical pulling forces acting in different directions. These experiments led us to construct a model of cortical pulling forces in which the stoichiometric interactions of microtubules and force generators (each force generator can bind only one microtubule), is key to explaining the dynamics of spindle positioning and elongation, and spindle final length and scaling with cell size. This model accounts for variations in all the spindle traits we studied here, both within species and across nematode species spanning over 100 million years of evolution.https://elifesciences.org/articles/55877cell divisionmitotic spindlescalingQTL mappingmathematical modelingcortical forces
collection DOAJ
language English
format Article
sources DOAJ
author Reza Farhadifar
Che-Hang Yu
Gunar Fabig
Hai-Yin Wu
David B Stein
Matthew Rockman
Thomas Müller-Reichert
Michael J Shelley
Daniel J Needleman
spellingShingle Reza Farhadifar
Che-Hang Yu
Gunar Fabig
Hai-Yin Wu
David B Stein
Matthew Rockman
Thomas Müller-Reichert
Michael J Shelley
Daniel J Needleman
Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
eLife
cell division
mitotic spindle
scaling
QTL mapping
mathematical modeling
cortical forces
author_facet Reza Farhadifar
Che-Hang Yu
Gunar Fabig
Hai-Yin Wu
David B Stein
Matthew Rockman
Thomas Müller-Reichert
Michael J Shelley
Daniel J Needleman
author_sort Reza Farhadifar
title Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
title_short Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
title_full Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
title_fullStr Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
title_full_unstemmed Stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
title_sort stoichiometric interactions explain spindle dynamics and scaling across 100 million years of nematode evolution
publisher eLife Sciences Publications Ltd
series eLife
issn 2050-084X
publishDate 2020-09-01
description The spindle shows remarkable diversity, and changes in an integrated fashion, as cells vary over evolution. Here, we provide a mechanistic explanation for variations in the first mitotic spindle in nematodes. We used a combination of quantitative genetics and biophysics to rule out broad classes of models of the regulation of spindle length and dynamics, and to establish the importance of a balance of cortical pulling forces acting in different directions. These experiments led us to construct a model of cortical pulling forces in which the stoichiometric interactions of microtubules and force generators (each force generator can bind only one microtubule), is key to explaining the dynamics of spindle positioning and elongation, and spindle final length and scaling with cell size. This model accounts for variations in all the spindle traits we studied here, both within species and across nematode species spanning over 100 million years of evolution.
topic cell division
mitotic spindle
scaling
QTL mapping
mathematical modeling
cortical forces
url https://elifesciences.org/articles/55877
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