Salk scientists discover a learning circuit in worms that gives clues to human behavior.

If you had 10 chances to roll a die, would you rather be guaranteed to receive $5 for every roll ($50 total) or take the risk of winning $100 if you only roll a six?

Most animals, from roundworms to humans, prefer the more predictable situation when it comes to securing resources for survival, such as food. Now, Salk scientists have discovered the basis for how animals balance learning and risk-taking behavior to get to a more predictable environment. The research reveals new details on the function of two chemical signals critical to human behavior: dopamine–responsible for reward and risk-taking–and CREB–needed for learning.

“Previous research has shown that certain neurons respond to changes in light to determine variability in their environment, but that’s not the only mechanism,” says senior author Sreekanth Chalasani, an assistant professor in Salk’s Molecular Neurobiology Laboratory. “We discovered a new mechanism that evaluates environmental variability, a skill crucial to animals’ survival.”

By studying roundworms (Caenorhabditis elegans), Salk researchers charted how this new circuit uses information from the animal’s senses to figure out how predictable the environment and prompt the worm to move to a new location if needed. The work was detailed April 9, 2015 in Neuron.

The circuit, made up of 16 of the 302 neurons in the worm’s brain, likely has parallels in more complex animal brains, researchers say, and could be a starting point to understanding–and fixing–certain psychiatric or behavioral disorders.

“What was surprising is the degree to which variability in animal behavior can be explained by variability in their past sensory experience and not just noise,” says Tatyana Sharpee, associate professor and co-senior author of the paper. “We can now predict future animal behaviors based on past sensory experience, independent of the influence of genetic factors.”

The team discovered that two pairs of neurons in this learning circuit act as gatekeepers. One pair responds to large increases of the presence of food and the other pair responds to large decreases of the presence of food. When either of these high-threshold neurons detect a large change in an environment (for example, the smell of a lot of food to no food) they induce other neurons to release the neurotransmitter dopamine.

Dumping dopamine onto a brain–human or otherwise–makes one more willing to take risks. It’s no different in the roundworm: stimulated by large varieties in its environment, dopamine surges in the worm’s system and activates four other neurons in the learning circuit, giving them a greater response range. This prompts the worm to search more actively in a wider area (risk-taking) until it hits a more consistent environment. The amount of dopamine in its system serves as its memory of the past experience: about 30 minutes or so and it forgets information gathered in the time before that.

While it’s been known that the presence of dopamine is tied to risk-taking behavior, how exactly dopamine does this hasn’t been well understood. With this new work, scientists now have a fundamental model of how dopamine signaling leads the worm to take more risks and explore new environments.

“The connection between dopamine and risk is conserved across animals and is already known, but we showed mechanistically how it works,” says Chalasani, who is also holder of the Helen McLoraine Developmental Chair in Neurobiology. “We hope this work will lead to better therapies for neurodegenerative and behavioral diseases and other disorders where dopamine signaling is irregular.”

Interestingly, the scientists found that the high-threshold neurons also lead to increased signaling from a protein called CREB, known in humans and other animals to be essential to learning and retaining new memories. The researchers showed that not only are the presence of CREB important to learning, but the amount of CREB protein determines how quickly an animal learns. This surprising connection could lead to new avenues of research for brain enhancements, adds Chalasani.



Salk Institute researchers discovered how a neural circuit in roundworms balance learning and risk-taking behavior to get to a more predictable environment.The worms experience a greater increase in dopamine and risk-taking behavior to prompt them to move to a more stable space.

How did researchers test all of this in worms exactly? They began by placing worms in dishes that contained either a large or a small patch of edible bacteria. Worms in the smaller patches tended to reach the edges more frequently, experiencing large changes in variability (edges have large amounts of food compared to the center). Worms on the large patch, however, reached the edge less frequently, thereby experiencing a general stable environment (mainly an area with constant food).

Using genetics, imaging, behavioral analysis and other techniques, researchers found that when worms are on small patches, the two pairs of high-threshold neurons respond to the greater variation and signal leading to increased dopamine. When worms in these smaller patches (and higher dopamine) were taken out and put into a new dish, they explored a larger area, taking more of a risk. Worms from the larger patches, however, produced less dopamine and were more cautious, exploring just a small space when placed in a new area.



Salk Institute researchers discovered how a neural circuit in roundworms balance learning and risk-taking behavior to get to a more predictable environment. Worms have two pairs of neurons that respond to large changes environment, such as different concentrations of food in a small space (left panel). As a result, the worms experience a greater increase in dopamine and risk-taking behavior to prompt them to move to a more stable space. When worms experience less variety in their environment, they experience less dopamine (right panel). The neural circuit likely has parallels in more complex animals and could help to explain behavior.

Additionally, when the protein CREB was present in larger amounts, the team found that the worms took far less time to learn about their food variability. “Normally the worms took about 30 minutes or so to explore and learn about food, but as you keep increasing the CREB protein they learn it faster,” says Chalasani. “So dopamine stores the memory of what these worms learn while CREB regulates how quickly they learn.”

About this learning research

Authors include Adam J. Calhoun of the University of California, San Diego; Navin Pokala of The Rockefeller University; and Ada Tong, James A. J. Fitzpatrick, Tatyana O. Sharpee and Sreekanth H. Chalasani, all of the Salk Institute.

Funding: The work was funded by the National Institutes of Health, the National Science Foundation and the Rita Allen Foundation.

Source: Salk Institute press release

Image Source: The image is courtesy of the Salk Institute for Biological Studies

Video Source: The videos are available at the Salk Institute YouTube page

Original Research: Abstract for “Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans” by Adam J. Calhoun, Navin Pokala, Ada Tong, James A. J. Fitzpatrick, Tatyana O. Sharpee and Sreekanth H. Chalasani. in Neuron. Published online April 9 2015 doi:10.1016/j.neuron.2015.03.026

Abstract

Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans

Highlights

•C. elegans learn variability in their food environment and modify future behavior

•The authors describe the minimal circuit that evaluates environmental variability

•Dopamine levels store information about variability to regulate behavior

•The amount of CREB determines the rate of learning variability

Summary

The ability to evaluate variability in the environment is vital for making optimal behavioral decisions. Here we show that Caenorhabditis elegans evaluates variability in its food environment and modifies its future behavior accordingly. We derive a behavioral model that reveals a critical period over which information about the food environment is acquired and predicts future search behavior. We also identify a pair of high-threshold sensory neurons that encode variability in food concentration and the downstream dopamine-dependent circuit that generates appropriate search behavior upon removal from food. Further, we show that CREB is required in a subset of interneurons and determines the timescale over which the variability is integrated. Interestingly, the variability circuit is a subset of a larger circuit driving search behavior, showing that learning directly modifies the very same neurons driving behavior. Our study reveals how a neural circuit decodes environmental variability to generate contextually appropriate decisions.

“Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans” by Adam J. Calhoun, Navin Pokala, Ada Tong, James A. J. Fitzpatrick, Tatyana O. Sharpee and Sreekanth H. Chalasani. in Neuron. Published online April 9 2015 doi:10.1016/j.neuron.2015.03.026

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