Selective dendritic localization of mRNA in Drosophila mushroom body output neurons

  1. Jessica Mitchell
  2. Carlas S Smith
  3. Josh Titlow
  4. Nils Otto
  5. Pieter van Velde
  6. Martin J Booth
  7. Ilan Davis
  8. Scott Waddell  Is a corresponding author
  1. University of Oxford, United Kingdom
  2. Delft University of Technology, Netherlands

Abstract

Memory-relevant neuronal plasticity is believed to require local translation of new proteins at synapses. Understanding this process requires the visualization of the relevant mRNAs within these neuronal compartments. Here we used single-molecule fluorescence in situ hybridization (smFISH) to localize mRNAs at subcellular resolution in the adult Drosophila brain. mRNAs for subunits of nicotinic acetylcholine receptors and kinases could be detected within the dendrites of co-labelled Mushroom Body Output Neurons (MBONs) and their relative abundance showed cell-specificity. Moreover, aversive olfactory learning produced a transient increase in the level of CaMKII mRNA within the dendritic compartments of the 52a MBONs. Localization of specific mRNAs in MBONs before and after learning represents a critical step towards deciphering the role of dendritic translation in the neuronal plasticity underlying behavioural change in Drosophila.

Data availability

Pipeline code and the User Manual are available in the GitHub repository at [https://github.com/qnano/smFISHlearning].An example dataset of raw and processed images is available at [https://figshare.com/articles/dataset/Example_data/13568438].All other processed and raw datasets that support the findings of this study are available at [https://doi.org/10.6084/m9.figshare.13573475].

Article and author information

Author details

  1. Jessica Mitchell

    Centre for Neural Circuits & Behaviour, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  2. Carlas S Smith

    Centre for Neural Circuits & Behaviour, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Josh Titlow

    Department of Biochemistry, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Nils Otto

    Centre for Neural Circuits & Behaviour, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9713-4088
  5. Pieter van Velde

    Delft Center for Systems and Control, Delft University of Technology, Kantens, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7281-8026
  6. Martin J Booth

    Department of Engineering, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  7. Ilan Davis

    Department of Biochemistry, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5385-3053
  8. Scott Waddell

    Centre for Neural Circuits & Behaviour, University of Oxford, Oxford, United Kingdom
    For correspondence
    scott.waddell@cncb.ox.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4503-6229

Funding

Wellcome Trust (200846/Z/16/Z)

  • Scott Waddell

Wellcome Trust (203261/Z/16/Z)

  • Scott Waddell

ERC

  • Scott Waddell

Netherlands Organisation for Scientific Research

  • Carlas S Smith

Wellcome Trust (107457)

  • Ilan Davis

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

Copyright

© 2021, Mitchell 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

  • 3,586
    views
  • 447
    downloads
  • 6
    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. Jessica Mitchell
  2. Carlas S Smith
  3. Josh Titlow
  4. Nils Otto
  5. Pieter van Velde
  6. Martin J Booth
  7. Ilan Davis
  8. Scott Waddell
(2021)
Selective dendritic localization of mRNA in Drosophila mushroom body output neurons
eLife 10:e62770.
https://doi.org/10.7554/eLife.62770

Share this article

https://doi.org/10.7554/eLife.62770

Further reading

    1. Developmental Biology
    2. Neuroscience
    Sebastián Giunti, María Gabriela Blanco ... Diego Rayes
    Research Article

    A finely tuned balance between excitation and inhibition (E/I) is essential for proper brain function. Disruptions in the GABAergic system, which alter this equilibrium, are a common feature in various types of neurological disorders, including autism spectrum disorders (ASDs). Mutations in Phosphatase and Tensin Homolog (PTEN), the main negative regulator of the phosphatidylinositol 3-phosphate kinase/Akt pathway, are strongly associated with ASD. However, it is unclear whether PTEN deficiencies can differentially affect inhibitory and excitatory signaling. Using the Caenorhabditis elegans neuromuscular system, where both excitatory (cholinergic) and inhibitory (GABAergic) inputs regulate muscle activity, we found that daf-18/PTEN mutations impact GABAergic (but not cholinergic) neurodevelopment and function. This selective impact results in a deficiency in inhibitory signaling. The defects observed in the GABAergic system in daf-18/PTEN mutants are due to reduced activity of DAF-16/FOXO during development. Ketogenic diets (KGDs) have proven effective for disorders associated with E/I imbalances. However, the mechanisms underlying their action remain largely elusive. We found that a diet enriched with the ketone body β-hydroxybutyrate during early development induces DAF-16/FOXO activity, therefore improving GABAergic neurodevelopment and function in daf-18/PTEN mutants. Our study provides valuable insights into the link between PTEN mutations and neurodevelopmental defects and delves into the mechanisms underlying the potential therapeutic effects of KGDs.

    1. Genetics and Genomics
    2. Neuroscience
    Haojing Duan, Runye Shi ... Jianfeng Feng
    Research Article

    Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the ‘last in, first out’ mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.