Innate Behavior: Flies spring a surprise

A combination of genetic, anatomical and physiological techniques has revealed that the lateral horn, a region of the brain involved in olfaction in flies, has many more types of neurons than expected.
  1. Johanna M Kobler
  2. Ilona C Grunwald Kadow  Is a corresponding author
  1. Technical University of Munich, Germany
  2. Ludwig-Maximilians-University, Germany

When we sense an odor, our response depends by and large on two higher olfactory centers in the brain. In both mammals and insects, the innate responses to odors (such as an aversion to the smell of rotten fish) are thought to be mediated by a neural pathway in which the synapses between neurons are hardwired, whereas adaptive responses such as learning to respond to a given odor are mediated by a pathway in which the synapses are random. In the fruit fly Drosophila melanogaster we know a great deal about the anatomy and function of the mushroom body, the olfactory center associated with learning and memory (Aso et al., 2014a; Aso et al., 2014b; Heisenberg, 2003), but the lateral horn – the center associated with innate responses – has, in comparison, remained a black box.

Now, in two massive papers in eLife, Gregory Jefferis, Michael-John Dolan, Shahar Frechter and colleagues at the Janelia Research Campus, Cambridge University and the MRC Laboratory of Molecular Biology open this black box and provide the most profound study of the lateral horn to date (Frechter et al., 2019; Dolan et al., 2019). Besides presenting unmatched genetic tools to target its neurons, one of their most surprising findings is that the lateral horn of a fruit fly contains more neuron types than some higher brain regions in mice (Tasic et al., 2018).

In the first paper Frechter et al. report a detailed investigation of the neuroanatomical and functional organization of the lateral horn (Figure 1). They started by generating the tools they needed to reliably access the cells of this brain center. To do this they took advantage of the great number of transgenic lines that are available for flies. Put simply, these transgenes allow the expression of any gene, including a visual marker such as the green fluorescent protein (GFP), in any cell type in the brain. However, the cell type in which they drive gene expression is frequently not known, so it is necessary to proceed by trial and error. By visually screening the brains of a large number of transgenic flies under the microscope, the researchers were able to identify several transgenic lines in which GFP was expressed in neurons in the lateral horn.

The olfactory pathway in Drosophila.

Olfactory sensory neurons (red) provide olfactory input to the glomeruli of the antennal lobe (AL), where information is processed by local neurons before being transferred by projection neurons (blue) to the mushroom body (MB) and the lateral horn (LH). Frechter et al. combined whole-cell electrophysiology and anatomy to characterize the many different types of neurons in the LH. Dolan et al. used a range of tools to explore these neurons further. The image shows a so-called split-GAL4 line labeling a specific type of LH output neuron. Together, the two papers show that, rather surprisingly, the LH in Drosophila contains more neuron types than have been reported for higher brain regions in mammals.

By combining two lines with partly overlapping expression, Frechter, Dolan and colleagues created highly specific lines, called split-GAL4 lines, that mark distinct neuron types, thus allowing them to study the anatomy of the lateral horn in unprecedented detail and extent. With the help of electron microscopy (Zheng et al., 2018), they estimated that the lateral horn contains approximately 1400 neurons, which far exceeded expectations. Using a hierarchical naming system based on anatomical parameters, the researchers then clustered these neurons into 261 different types, which was also much more than expected. Some 34 of these types were neurons that were completely confined to the lateral horn (so-called LH local neurons), and 227 projected to other regions of the brain (LH output neurons).

After laying down these neuroanatomical foundations, Shahar Frechter painstakingly recorded the electrical activity of more than 500 individual lateral horn neurons in response to a broad odor set. In line with the lateral horn having a role in innate behavior, similar lateral horn neurons in different flies responded to odors in similar ways. This allowed Frechter et al. to define so-called functional cell types to describe neurons with similar morphologies and odor responses. By analyzing when neurons in the lateral horn fired in response to odor, they further showed that the output neurons of the lateral horn were significantly better in distinguishing odors by certain categories, such as distinctive chemical features, than other populations of olfactory neurons, such as the projection neurons that carry the olfactory signals into the lateral horn (Figure 1; see also Jeanne et al., 2018).

In the second paper, Dolan et al. report how the lateral horn is connected to other brain regions and start to test its role in behavior. To this end, they screened 2444 split-GAL4 lines and found that 382 of these lines targeted small subsets of lateral horn neurons. By matching these lines to the anatomical data gathered by Frechter et al., they were able to target 82 different types of lateral horn neurons.

These new genetic tools then allowed Dolan et al. to combine light and electron microscopy to create nothing short of the first atlas of a large number of lateral horn neurons. They categorized the cell-types according to their polarity, which describes whether a neuron is a local, an output neuron, or an input neuron relaying information into the lateral horn. Interestingly, they found that in addition to receiving olfactory input, the lateral horn also receives input from visual, mechanosensory and gustatory brain centers. Moreover, it sends projections to a wide variety of brain regions, but not directly to the ventral nerve cord, which suggests that olfactory information is subject to another layer of processing before any motor outputs are generated. However, one of the most exciting results was that the lateral horn receives input from the mushroom body and, moreover, that around 30% of the output neurons from the lateral horn interact with mushroom body neurons: this confirms the existence of ‘horizontal’ connections between these two higher olfactory centers for the mediation of innate and adaptive responses.

Why does the lateral horn have so many neuron types, and how does this relate to its function? To test the relationship between neuron type and behavior, Dolan et al. added optogenetics to their repertoire of experimental techniques (Figure 1). They found that activation of just two neuron types resulted in the flies demonstrating aversion behavior, and activation of just one type led to attraction. These numbers are surprisingly low, given that 6 out of 20 output neurons in the mushroom body drive such valence decisions (Aso et al., 2014b; Owald and Waddell, 2015). In line with this, several cell types in the lateral horn changed motor behaviors when activated: this suggests that an important function of the lateral horn is to instruct different types of innate behavior, dependent on odor category but irrespective of valence.

The advances reported in these two papers mean that researchers now have the tools needed to potentially understand the lateral horn at the same level of detail as we currently understand the mushroom body (Aso et al., 2014a; Aso et al., 2014b). This is important because the parallel processing seen in flies (that is, different pathways being responsible for innate and adaptive responses) appears to be a highly conserved feature of olfactory processing (and other forms of sensory processing) in vertebrates including mammals. The extensive direct and indirect connections between the lateral horn and the mushroom body also suggest that the lateral horn can modulate the output of the mushroom body, and vice versa, with such modulation ultimately having an impact on behavior.

References

Article and author information

Author details

  1. Johanna M Kobler

    Johanna M Kobler is in the School of Life Sciences, Technical University of Munich, and the Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-University, Munich, Germany

    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3796-3818
  2. Ilona C Grunwald Kadow

    Ilona C Grunwald Kadow is in the School of Life Sciences, Technical University of Munich, and the Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-University, Munich, Germany

    For correspondence
    ilona.grunwald@tum.de
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9085-4274

Publication history

  1. Version of Record published: May 21, 2019 (version 1)

Copyright

© 2019, Kobler and Grunwald Kadow

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

  • 1,941
    views
  • 148
    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. Johanna M Kobler
  2. Ilona C Grunwald Kadow
(2019)
Innate Behavior: Flies spring a surprise
eLife 8:e47720.
https://doi.org/10.7554/eLife.47720

Further reading

    1. Neuroscience
    Shahar Frechter, Alexander Shakeel Bates ... Gregory Jefferis
    Research Article Updated

    Most sensory systems are organized into parallel neuronal pathways that process distinct aspects of incoming stimuli. In the insect olfactory system, second order projection neurons target both the mushroom body, required for learning, and the lateral horn (LH), proposed to mediate innate olfactory behavior. Mushroom body neurons form a sparse olfactory population code, which is not stereotyped across animals. In contrast, odor coding in the LH remains poorly understood. We combine genetic driver lines, anatomical and functional criteria to show that the Drosophila LH has ~1400 neurons and >165 cell types. Genetically labeled LHNs have stereotyped odor responses across animals and on average respond to three times more odors than single projection neurons. LHNs are better odor categorizers than projection neurons, likely due to stereotyped pooling of related inputs. Our results reveal some of the principles by which a higher processing area can extract innate behavioral significance from sensory stimuli.

    1. Neuroscience
    Hao Li, Jingyu Feng ... Jufang He
    Research Article

    Cholecystokinin (CCK) is an essential modulator for neuroplasticity in sensory and emotional domains. Here, we investigated the role of CCK in motor learning using a single pellet reaching task in mice. Mice with a knockout of Cck gene (Cck−/−) or blockade of CCK-B receptor (CCKBR) showed defective motor learning ability; the success rate of retrieving reward remained at the baseline level compared to the wildtype mice with significantly increased success rate. We observed no long-term potentiation upon high-frequency stimulation in the motor cortex of Cck−/− mice, indicating a possible association between motor learning deficiency and neuroplasticity in the motor cortex. In vivo calcium imaging demonstrated that the deficiency of CCK signaling disrupted the refinement of population neuronal activity in the motor cortex during motor skill training. Anatomical tracing revealed direct projections from CCK-expressing neurons in the rhinal cortex to the motor cortex. Inactivation of the CCK neurons in the rhinal cortex that project to the motor cortex bilaterally using chemogenetic methods significantly suppressed motor learning, and intraperitoneal application of CCK4, a tetrapeptide CCK agonist, rescued the motor learning deficits of Cck−/− mice. In summary, our results suggest that CCK, which could be provided from the rhinal cortex, may surpport motor skill learning by modulating neuroplasticity in the motor cortex.