The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain

Abstract

Multidimensional landscapes of regulatory genes in neuronal phenotypes at whole-brain levels in the vertebrate remain elusive. We generated single-cell transcriptomes of ~67,000 region- and glutamatergic/neuromodulator-identifiable cells from larval zebrafish brains. Hierarchical clustering based on effector gene profiles ('terminal features') distinguished major brain cell types. Sister clusters at hierarchical termini displayed similar terminal features. It was further verified by a population-level statistical method. Intriguingly, glutamatergic/GABAergic sister clusters mostly expressed distinct transcriptional factor (TF) profiles ('convergent pattern'), whereas neuromodulator-type sister clusters predominantly expressed the same TF profiles ('matched pattern'). Interestingly, glutamatergic/GABAergic clusters with similar TF profiles could also display different terminal features ('divergent pattern'). It led us to identify a library of RNA-binding proteins that differentially marked divergent pair clusters, suggesting the post-transcriptional regulation of neuron diversification. Thus, our findings reveal multidimensional landscapes of transcriptional and post-transcriptional regulators in whole-brain neuronal phenotypes in the zebrafish brain.

Data availability

Single cell RNA-seq data has been deposited on BIG (Genome Sequence Archive - CRA002361), which will be available upon the publication

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Hui Zhang

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5300-5310
  2. Haifang Wang Haifang

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Xiaoyu Shen

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8868-7035
  4. Xinling Jia

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Shuguang Yu

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6640-5420
  6. Xiaoying Qiu

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
  7. Yufan Wang

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    Competing interests
    The authors declare that no competing interests exist.
  8. Jiulin Du

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    For correspondence
    forestdu@ion.ac.cn
    Competing interests
    The authors declare that no competing interests exist.
  9. Jun Yan

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    For correspondence
    junyan@ion.ac.cn
    Competing interests
    The authors declare that no competing interests exist.
  10. Jie He

    Institutes for Biological Sciences, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shangjai, China
    For correspondence
    jiehe@ion.ac.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2539-2616

Funding

Shanghai Science and Technology Development Foundation (2018SHZDZX05)

  • Jiulin Du
  • Jun Yan
  • Jie He

Chinese Academy of Sciences (XDB32000000)

  • Jiulin Du
  • Jun Yan
  • Jie He

Shanghai Science and Technology Development Foundation (18JC1410100)

  • Jiulin Du
  • Jun Yan
  • Jie He

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

Reviewing Editor

  1. Koichi Kawakami, National Institute of Genetics, Japan

Version history

  1. Received: March 10, 2021
  2. Accepted: December 5, 2021
  3. Accepted Manuscript published: December 13, 2021 (version 1)
  4. Version of Record published: January 19, 2022 (version 2)
  5. Version of Record updated: February 20, 2023 (version 3)

Copyright

© 2021, Zhang 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

  • 2,925
    views
  • 481
    downloads
  • 7
    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. Hui Zhang
  2. Haifang Wang Haifang
  3. Xiaoyu Shen
  4. Xinling Jia
  5. Shuguang Yu
  6. Xiaoying Qiu
  7. Yufan Wang
  8. Jiulin Du
  9. Jun Yan
  10. Jie He
(2021)
The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain
eLife 10:e68224.
https://doi.org/10.7554/eLife.68224

Share this article

https://doi.org/10.7554/eLife.68224

Further reading

    1. Neuroscience
    Alyssa D Huff, Marlusa Karlen-Amarante ... Jan-Marino Ramirez
    Research Advance

    Obstructive sleep apnea (OSA) is a prevalent sleep-related breathing disorder that results in multiple bouts of intermittent hypoxia. OSA has many neurological and systemic comorbidities, including dysphagia, or disordered swallow, and discoordination with breathing. However, the mechanism in which chronic intermittent hypoxia (CIH) causes dysphagia is unknown. Recently, we showed the postinspiratory complex (PiCo) acts as an interface between the swallow pattern generator (SPG) and the inspiratory rhythm generator, the preBötzinger complex, to regulate proper swallow-breathing coordination (Huff et al., 2023). PiCo is characterized by interneurons co-expressing transporters for glutamate (Vglut2) and acetylcholine (ChAT). Here we show that optogenetic stimulation of ChATcre:Ai32, Vglut2cre:Ai32, and ChATcre:Vglut2FlpO:ChR2 mice exposed to CIH does not alter swallow-breathing coordination, but unexpectedly disrupts swallow behavior via triggering variable swallow motor patterns. This suggests that glutamatergic–cholinergic neurons in PiCo are not only critical for the regulation of swallow-breathing coordination, but also play an important role in the modulation of swallow motor patterning. Our study also suggests that swallow disruption, as seen in OSA, involves central nervous mechanisms interfering with swallow motor patterning and laryngeal activation. These findings are crucial for understanding the mechanisms underlying dysphagia, both in OSA and other breathing and neurological disorders.

    1. Neuroscience
    Olujolagbe Layinka, Luca D Hargitai ... Florence YN Leung
    Feature Article

    Improving our understanding of autism, ADHD, dyslexia and other neurodevelopmental conditions requires collaborations between genetics, psychiatry, the social sciences and other fields of research.