Live imaging and biophysical modeling support a button-based mechanism of somatic homolog pairing in Drosophila

  1. Myron Barber Child VI
  2. Jack R Bateman  Is a corresponding author
  3. Amir Jahangiri
  4. Armando Reimer
  5. Nicholas C Lammers
  6. Nica Sabouni
  7. Diego Villamarin
  8. Grace C McKenzie-Smith
  9. Justine E Johnson
  10. Daniel Jost  Is a corresponding author
  11. Hernan G Garcia  Is a corresponding author
  1. University of California at Berkeley, United States
  2. Bowdoin College, United States
  3. Grenoble Alpes University, France
  4. University of California, Berkeley, United States
  5. ENS de Lyon, France

Abstract

3D eukaryotic genome organization provides the structural basis for gene regulation. In Drosophila melanogaster, genome folding is characterized by somatic homolog pairing, where homologous chromosomes are intimately paired from end to end; however, how homologs identify one another and pair has remained mysterious. Recently, this process has been proposed to be driven by specifically interacting 'buttons' encoded along chromosomes. Here, we turned this hypothesis into a quantitative biophysical model to demonstrate that a button-based mechanism can lead to chromosome-wide pairing. We tested our model using live-imaging measurements of chromosomal loci tagged with the MS2 and PP7 nascent RNA labeling systems. We show solid agreement between model predictions and experiments in the pairing dynamics of individual homologous loci. Our results strongly support a button-based mechanism of somatic homolog pairing in Drosophila and provide a theoretical framework for revealing the molecular identity and regulation of buttons.

Data availability

Modeling code is available at: https://github.com/physical-biology-of-chromatin/Homologous_pairingCustom Matlab 2019b image analysis scripts can be found at https://github.com/GarciaLab/mRNADynamics/.Raw figure files of relevant plots are available at: https://www.dropbox.com/sh/cwe1t3u5q4v3yos/AACTXXBF6WiOuLuozX0MZRkba?dl=0Samples of generated data used in this study are included in the manuscript and supporting files

Article and author information

Author details

  1. Myron Barber Child VI

    Molecular and Cell Biology, University of California at Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8563-0842
  2. Jack R Bateman

    Biology, Bowdoin College, Brunswick, United States
    For correspondence
    jbateman@bowdoin.edu
    Competing interests
    The authors declare that no competing interests exist.
  3. Amir Jahangiri

    TIMC-IMAG, Grenoble Alpes University, La Tronche, France
    Competing interests
    The authors declare that no competing interests exist.
  4. Armando Reimer

    Biophysics Graduate Group, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Nicholas C Lammers

    Biophysics Graduate Group, University of California, Berkeley, Oakland, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6832-6152
  6. Nica Sabouni

    Molecular and Cell Biology, University of California at Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Diego Villamarin

    Biology, Bowdoin College, Brunswick, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3265-1740
  8. Grace C McKenzie-Smith

    Biology, Bowdoin College, Brunswick, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Justine E Johnson

    Biology, Bowdoin College, Brunswick, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Daniel Jost

    Laboratory of Biology and Modelling of the Cell, ENS de Lyon, Lyon, France
    For correspondence
    daniel.jost@ens-lyon.fr
    Competing interests
    The authors declare that no competing interests exist.
  11. Hernan G Garcia

    Molecular and Cell Biology, Physics, University of California, Berkeley, Berkeley, United States
    For correspondence
    hggarcia@berkeley.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5212-3649

Funding

Burroughs Wellcome Fund (Career Award at the Scientific Interface)

  • Hernan G Garcia

ITMO Cancer (BIO2015-08)

  • Daniel Jost

National Institutes of Health (P20 GM0103423,R15 GM132896-01)

  • Jack R Bateman

National Science Foundation (CAREER Award 1349779)

  • Jack R Bateman

Alfred P. Sloan Foundation (Sloan Research Fellowship)

  • Hernan G Garcia

Human Frontier Science Program

  • Hernan G Garcia

Searle Scholars Program

  • Hernan G Garcia

Shurl and Kay Curci Foundation

  • Hernan G Garcia

Hellman Foundation

  • Hernan G Garcia

National Institutes of Health (Director's New Innovator Award,DP2 OD024541-01)

  • Hernan G Garcia

National Science Foundation (CAREER Award,1652236)

  • Hernan G Garcia

Agence Nationale pour la Recherche (ANR-18-CE12-0006-03,ANR-18-CE45-0022-01)

  • Daniel Jost

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2021, Child et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,520
    views
  • 193
    downloads
  • 21
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Myron Barber Child VI
  2. Jack R Bateman
  3. Amir Jahangiri
  4. Armando Reimer
  5. Nicholas C Lammers
  6. Nica Sabouni
  7. Diego Villamarin
  8. Grace C McKenzie-Smith
  9. Justine E Johnson
  10. Daniel Jost
  11. Hernan G Garcia
(2021)
Live imaging and biophysical modeling support a button-based mechanism of somatic homolog pairing in Drosophila
eLife 10:e64412.
https://doi.org/10.7554/eLife.64412

Share this article

https://doi.org/10.7554/eLife.64412

Further reading

    1. Physics of Living Systems
    Jonathan H Booth, Andrew T Meek ... Malte C Gather
    Research Article

    During locomotion, soft-bodied terrestrial animals solve complex control problems at substrate interfaces, but our understanding of how they achieve this without rigid components remains incomplete. Here, we develop new all-optical methods based on optical interference in a deformable substrate to measure ground reaction forces (GRFs) with micrometre and nanonewton precision in behaving Drosophila larvae. Combining this with a kinematic analysis of substrate-interfacing features, we shed new light onto the biomechanical control of larval locomotion. Crawling in larvae measuring ~1 mm in length involves an intricate pattern of cuticle sequestration and planting, producing GRFs of 1–7 µN. We show that larvae insert and expand denticulated, feet-like structures into substrates as they move, a process not previously observed in soft-bodied animals. These ‘protopodia’ form dynamic anchors to compensate counteracting forces. Our work provides a framework for future biomechanics research in soft-bodied animals and promises to inspire improved soft-robot design.

    1. Physics of Living Systems
    Nicholas LaBerge, Kenneth Hunter Wapman ... Daniel B Larremore
    Research Article

    Despite long-running efforts to increase gender diversity among tenured and tenure-track faculty in the U.S., women remain underrepresented in most academic fields, sometimes dramatically so. Here, we quantify the relative importance of faculty hiring and faculty attrition for both past and future faculty gender diversity using comprehensive data on the training and employment of 268,769 tenured and tenure-track faculty rostered at 12,112U.S. PhD-granting departments, spanning 111 academic fields between 2011 and 2020. Over this time, we find that hiring had a far greater impact on women’s representation among faculty than attrition in the majority (90.1%) of academic fields, even as academia loses a higher share of women faculty relative to men at every career stage. Finally, we model the impact of five specific policy interventions on women’s representation, and project that eliminating attrition differences between women and men only leads to a marginal increase in women’s overall representation—in most fields, successful interventions will need to make substantial and sustained changes to hiring in order to reach gender parity.