Visual System: Wiring up for controlled flight

A map showing how neurons that process motion are wired together in the visual system of fruit flies provides new insights into how animals navigate and remain stable when flying.
  1. Albert Cardona  Is a corresponding author
  1. MRC Laboratory of Molecular Biology, University of Cambridge, United Kingdom
  2. Department of Physiology, Development and Neuroscience, University of Cambridge, United Kingdom

While birds, bats and insects make flying look easy, this skill is anything but. As animals launch themselves into flight, a world that was once static, slow and fairly predictable is now suddenly fast and roaring. Suspended in air, which itself is in motion and often turbulent, animals must rely on what they see around them to work out where they want to go, and stabilize their bodies relative to the ground and their surroundings.

To achieve this, animals rely on optic flow: this is the apparent motion of objects in their visual field as they travel through an environment, such as the landscape swooshing past a bird as it flies. Optic flow is key to successful flight, as it allows animals to maintain a steady altitude and to negotiate obstacles while rapidly zooming through complex landscapes, such as a forest full of branches. This is why insects often smash into glass windows because these, being transparent, do not trigger any optic flow.

How animals in flight perceive and use optic flow to adjust their own motion relative to their surroundings has fascinated scientists for a very long time. This process starts in the retina with photoreceptors that detect changes in light and relay this visual information – via a network of neurons – to a region of the brain known as the central complex, which directs where the animal will move based on where it is in space (Rivera-Alba et al., 2011; Heinze, 2021; Seelig and Jayaraman, 2015; Franconville et al., 2018; Hulse et al., 2021). One way to better understand how this circuit of neurons supports flight is to investigate how they are wired together in the brain of the fruit fly Drosophila melanogaster, which has been imaged to a nanometre resolution using electron microscopy (Zheng et al., 2018).

Early studies of the fruit fly optic lobe – where visual information is first processed – revealed a modular arrangement with repeated vertical cartridges of neurons, one for each unit (known as an omatidium) of the insect’s eye (Meinertzhagen and O’Neil, 1991; Nern et al., 2015). Each cartridge is analogous to a single camera pixel. But these cartridges are not passive, each one computes changes in light intensity over time and, together with inputs from adjacent cartridges, the direction of motion of objects at a specific point in the fly’s field of view (Behnia et al., 2014; Maisak et al., 2013; Haag et al., 2016; Hassenstein and Reichardt, 1956; Takemura et al., 2013). While neural circuits spanning across adjacent cartridges largely consist of modular repeats, there are differences that contribute to their visual processing properties (Cornean et al., 2024).

A class of neurons in the optic lobe called Lobula Plate Tangential cells (LTPs for short) have been shown to process visual information related to movement. LTPs receive inputs from multiple cartridges, allowing them to relay to the central brain a general picture of how objects are moving across the fly’s whole field of view. Most studies have focused on LTPs that process vertical or horizontal motion (which is needed, for example, to detect drift from wind gusts). However, there is also a larger population of LTPs that are sensitive to optic flow, which are less well defined due to them being more challenging to study. Now, in eLife, Michael Reiser and colleagues – including Arthur Zhao as first author – report the location and connections of all LTPs in the visual system to better understand how flies process optic flow (Zhao et al., 2024).

The team mapped the complete set of LTPs in the fly’s eye from electron microscopy data. They then combined this information with an existing map of all other neurons in the optic lobe to determine the input field and optic flow properties of each LTP. While some LTPs were already known to encode horizontal, vertical or rotational movement, this work means that now all LTPs in the fruit fly brain have a predicted function. Zhao et al. (who are based at the Janelia Research Campus, Champalimaud Centre for the Unknown, and University of Vermont) also determined which neurotransmitters each LTP released by directly analysing the anatomical features of synapses observed in electron microscopy images (Eckstein et al., 2020).

Zhao et al. followed the trajectory of the LTP axons as they entered the central brain and identified six target regions, which may each control different types of movement response. The interconnectivity among LTPs, and their convergence into one of the six brain regions, also provides further evidence that the brain can compose more complex optic flow fields than those sensed individually by each LTP.

While the fruit fly is an excellent laboratory animal for studying the brain and behaviour (Pfeiffer et al., 2010; Dorkenwald et al., 2023), much insight into the visual control of flight came from studies in the much larger blowfly. Indeed, electrophysiological recordings of individual LTPs in blowflies yielded early insights into the properties of visual circuits in insects (Borst and Egelhaaf, 1990). Intriguingly, Zhao et al. report having found 58 LTPs in each brain hemisphere, a number almost identical to the ~60 reported in the blowfly. Far from a coincidence, this similarity reveals a fundamental arrangement of neurons in the visual system across fly species. This suggests that although a larger retina may provide higher visual acuity, the central brain will still extract a similar quality of optic flow information across its visual field regardless of the dimensions of the retina. Whether there is a limit to how reduced the retina can be before optic flow information is compromised may soon be revealed by connectomic studies in miniature insects such as the fairy wasp Megaphragma sp. (Polilov, 2012).

Nevertheless, the comprehensive map of all LTPs in the fruit fly brain provided by Zhou et al., together with the neurotransmitter signature of each neuron and the complete set of neurons they connect with, sets a new, outstanding baseline for studying how the brain uses optic flow signals to drive behaviour.

References

Article and author information

Author details

  1. Albert Cardona

    Albert Cardona is at the MRC Laboratory of Molecular Biology and the Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom

    For correspondence
    ac2040@cam.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4941-6536

Publication history

  1. Version of Record published:

Copyright

© 2024, Cardona

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

  • 521
    views
  • 48
    downloads
  • 0
    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. Albert Cardona
(2024)
Visual System: Wiring up for controlled flight
eLife 13:e95989.
https://doi.org/10.7554/eLife.95989

Further reading

    1. Medicine
    2. Neuroscience
    Chi Zhang, Qian Huang ... Yun Guan
    Research Article

    Pain after surgery causes significant suffering. Opioid analgesics cause severe side effects and accidental death. Therefore, there is an urgent need to develop non-opioid therapies for managing post-surgical pain. Local application of Clarix Flo (FLO), a human amniotic membrane (AM) product, attenuated established post-surgical pain hypersensitivity without exhibiting known side effects of opioid use in mice. This effect was achieved through direct inhibition of nociceptive dorsal root ganglion (DRG) neurons via CD44-dependent pathways. We further purified the major matrix component, the heavy chain-hyaluronic acid/pentraxin 3 (HC-HA/PTX3) from human AM that has greater purity and water solubility than FLO. HC-HA/PTX3 replicated FLO-induced neuronal and pain inhibition. Mechanistically, HC-HA/PTX3-induced cytoskeleton rearrangements to inhibit sodium current and high-voltage activated calcium current on nociceptive DRG neurons, suggesting it is a key bioactive component mediating pain relief. Collectively, our findings highlight the potential of naturally derived biologics from human birth tissues as an effective non-opioid treatment for post-surgical pain. Moreover, we unravel the underlying neuronal mechanisms of pain inhibition induced by FLO and HC-HA/PTX3.

    1. Computational and Systems Biology
    2. Neuroscience
    Jian Qiu, Margaritis Voliotis ... Martin J Kelly
    Research Article

    Hypothalamic kisspeptin (Kiss1) neurons are vital for pubertal development and reproduction. Arcuate nucleus Kiss1 (Kiss1ARH) neurons are responsible for the pulsatile release of gonadotropin-releasing hormone (GnRH). In females, the behavior of Kiss1ARH neurons, expressing Kiss1, neurokinin B (NKB), and dynorphin (Dyn), varies throughout the ovarian cycle. Studies indicate that 17β-estradiol (E2) reduces peptide expression but increases Slc17a6 (Vglut2) mRNA and glutamate neurotransmission in these neurons, suggesting a shift from peptidergic to glutamatergic signaling. To investigate this shift, we combined transcriptomics, electrophysiology, and mathematical modeling. Our results demonstrate that E2 treatment upregulates the mRNA expression of voltage-activated calcium channels, elevating the whole-cell calcium current that contributes to high-frequency burst firing. Additionally, E2 treatment decreased the mRNA levels of canonical transient receptor potential (TPRC) 5 and G protein-coupled K+ (GIRK) channels. When Trpc5 channels in Kiss1ARH neurons were deleted using CRISPR/SaCas9, the slow excitatory postsynaptic potential was eliminated. Our data enabled us to formulate a biophysically realistic mathematical model of Kiss1ARH neurons, suggesting that E2 modifies ionic conductances in these neurons, enabling the transition from high-frequency synchronous firing through NKB-driven activation of TRPC5 channels to a short bursting mode facilitating glutamate release. In a low E2 milieu, synchronous firing of Kiss1ARH neurons drives pulsatile release of GnRH, while the transition to burst firing with high, preovulatory levels of E2 would facilitate the GnRH surge through its glutamatergic synaptic connection to preoptic Kiss1 neurons.