Sexual Differentiation: A matter of timing

A genetic pathway involved in development works together with the sex-determination pathway to control the timing of sexually dimorphic neural development in C. elegans.
  1. Michael W Perry  Is a corresponding author
  2. Claude Desplan  Is a corresponding author
  1. New York University, United States

The fate of a cell during development depends on several factors, such as its location in the body, developmental stage, and sex. However, most cells in the body do not ‘know’ what sex they are and function the same way, even though male and female cells have different sex chromosomes. How, then, do sexually dimorphic cells – the cells that are responsible for differences between males and females, such as differences in the adult brain – learn their sex during development?

The sex of an animal can modify the development of cells, such as neurons, in several ways. For example, males and females can produce the same type of cells, but then cause targeted cell death in a subset of cells in one of the sexes (Figure 1A; Kimura et al., 2008; Sanders and Arbeitman, 2008). Alternatively, an animal’s sex can modify the number of cell divisions, producing extra cells in one sex (Figure 1B; Emmons, 2018; Taylor and Truman, 1992; Sanders and Arbeitman, 2008). Or, cells that are identical at first can be modified in different ways in males and females (Figure 1C). This mechanism is common in the worm Caenorhabditis elegans (reviewed in Portman, 2017), but less common in insects like the fruit fly (see, for example, Kohl et al., 2013).

Sexual dimorphism in neurons.

The sex of an animal can modify the development of sex-specific neurons in several ways. (A) Male and female animals may develop the same type of neurons (shown in grey), but over the course of development, one sex (females in this case) may lose some of the neurons (blue) due to programmed cell death (skulls). The neurons of the other sex (male neurons in this case) then acquire sex-specific features (red). (B) Input from the sex-specific pathway can modify the number of cell divisions, producing extra neurons (blue) in one sex, which then acquire their sex-specific features (red). (C) Alternatively, neurons can develop sex-specific features that affect their shape and/or properties (red). In C. elegans, this is mediated by combination of the heterochronic pathway (which involves the genes let-7, lin-28 and lin-41) and sex-specific genes, such as lin29a or homologs of doublesex.

In C. elegans, most of these differences arise during the fourth stage of larval development, just before they become sexually active, but how do cells know when to become different? Now, in eLife, Oliver Hobert of Columbia University and colleagues – including Laura Pereira as first author – report that the heterochronic pathway (which regulates the larval development of worms) is also involved in controlling the timing of sexual differentiation in the nervous system of C. elegans (Pereira et al., 2019).

Pereira et al. – who are based at Columbia, Rochester, and Basel – reveal that three genes (let-7, lin-28 and lin-41) control when sexual maturation takes place in the neurons of C. elegans. Mutation of let-7 precociously initiates sex-specific changes in neurons, while overexpression overrides these changes. Furthermore, in young worms, lin-41 represses the production of a newly identified version of a gene called lin-29a, which is sexually specific. As the worms mature, however, the protein of lin-28 is lost, which allows let-7 to deactivate lin-41. In turn, lin-29a is then expressed in a subset of neurons. These neurons then turn on male-specific genes and adopt a male-specific shape and function (in the manner shown in Figure 1C). Both let-7 and lin-28 have been shown to control the timing of sexual differentiation in mice and humans, providing an intriguing hint of deeply conserved mechanisms (see, for example, Corre et al., 2016; Zhu et al., 2010; Chen et al., 2017).

The researchers discovered that the activation of lin-29a controls the sex-specific features of a neuron, called the AIM interneuron, which is important for the behavior of males. Male worms that lack this gene move in a way that is typical for hermaphrodites (modified females that can self-fertilize), providing a convincing demonstration that lin-29a provides the sex-specific input in the regulation of male genes. Pereira et al. further found that the pathway that determines the sex of a cell, including the gene tra-1, also regulates the production of lin-29a.

In other cells in C. elegans, homologs of a gene called doublesex, rather than lin29a, shape the sex-specific traits. The gene doublesex is well-known for being involved in the sex-specific development of the nervous system in insects, although another gene called fruitless (which is not present in worms), is even more important in this process. Given the similarities, it is tempting to draw parallels between lin-29a and fruitless, though no direct homology has been identified.

It is unknown whether a heterochronic pathway similar to the one in C. elegans affects sex-specific cell fate decisions in fruit flies. The genes fruitless and doublesex only start to exhibit sex-specific expression in the nervous system at the end of the last larval stage and the early pupal stages (but as soon as the neurons have formed), which can then result in sexual dimorphism (as in Figure 1). This is different from what Pereira et al. report in C. elegans, where the pathway acts on many types of neurons at roughly the same stage, often well after they have been specified. Whether any neurons in Drosophila exhibit a similar delay in sex-specific fate specification after patterning is unknown.

The links to let-7 and lin-28 in the sexual differentiation of vertebrates raise the question of how precisely these genes are affecting their neural development during puberty; whether the number or types of neurons are modified by this pathway, as they are in C. elegans; and whether similar connections to homologs of lin-29a or doublesex-like genes exist. The study of Pereira et al. has set the stage for future work in flies and vertebrates to test potentially shared components and interactions.

References

    1. Taylor BJ
    2. Truman JW
    (1992)
    Commitment of abdominal neuroblasts in Drosophila to a male or female fate is dependent on genes of the sex-determining hierarchy
    Development 114:625–642.

Article and author information

Author details

  1. Michael W Perry

    Michael W Perry is in the Department of Biology, New York University, New York, United States

    For correspondence
    mp185@nyu.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5977-8031
  2. Claude Desplan

    Claude Desplan is in the Department of Biology, New York University, New York, United States

    For correspondence
    cd38@nyu.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6914-1413

Publication history

  1. Version of Record published: January 1, 2019 (version 1)

Copyright

© 2019, Perry and Desplan

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

Metrics

  • 1,698
    views
  • 144
    downloads
  • 2
    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. Michael W Perry
  2. Claude Desplan
(2019)
Sexual Differentiation: A matter of timing
eLife 8:e41523.
https://doi.org/10.7554/eLife.41523
  1. Further reading

Further reading

    1. Neuroscience
    Yelyzaveta Bessonova, Baranidharan Raman
    Research Article

    Behavioral responses to many odorants are not fixed but are flexible, varying based on organismal needs. How such variations arise and the role of various neuromodulators in achieving flexible neural-to-behavioral mapping is not fully understood. In this study, we examined how serotonin modulates the neural and behavioral responses to odorants in locusts (Schistocerca americana). Our results indicated that serotonin can increase or decrease appetitive behavior in an odor-specific manner. On the other hand, in the antennal lobe, serotonergic modulation enhanced odor-evoked response strength but left the temporal features or the combinatorial response profiles unperturbed. This result suggests that serotonin allows for sensitive and robust recognition of odorants. Nevertheless, the uniform neural response amplification appeared to be at odds with the observed stimulus-specific behavioral modulation. We show that a simple linear model with neural ensembles segregated based on behavioral relevance is sufficient to explain the serotonin-mediated flexible mapping between neural and behavioral responses.

    1. Neuroscience
    Olivier Codol, Jonathan A Michaels ... Paul L Gribble
    Tools and Resources

    Artificial neural networks (ANNs) are a powerful class of computational models for unravelling neural mechanisms of brain function. However, for neural control of movement, they currently must be integrated with software simulating biomechanical effectors, leading to limiting impracticalities: (1) researchers must rely on two different platforms and (2) biomechanical effectors are not generally differentiable, constraining researchers to reinforcement learning algorithms despite the existence and potential biological relevance of faster training methods. To address these limitations, we developed MotorNet, an open-source Python toolbox for creating arbitrarily complex, differentiable, and biomechanically realistic effectors that can be trained on user-defined motor tasks using ANNs. MotorNet is designed to meet several goals: ease of installation, ease of use, a high-level user-friendly application programming interface, and a modular architecture to allow for flexibility in model building. MotorNet requires no dependencies outside Python, making it easy to get started with. For instance, it allows training ANNs on typically used motor control models such as a two joint, six muscle, planar arm within minutes on a typical desktop computer. MotorNet is built on PyTorch and therefore can implement any network architecture that is possible using the PyTorch framework. Consequently, it will immediately benefit from advances in artificial intelligence through PyTorch updates. Finally, it is open source, enabling users to create and share their own improvements, such as new effector and network architectures or custom task designs. MotorNet’s focus on higher-order model and task design will alleviate overhead cost to initiate computational projects for new researchers by providing a standalone, ready-to-go framework, and speed up efforts of established computational teams by enabling a focus on concepts and ideas over implementation.