Brain-free Learning: How Single-Celled Organisms Exhibit Pavlovian Conditioning

Stentor coeruleus, a unique single-celled organism

Stentor coeruleus: A single-celled organism with remarkable learning capabilities

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Fascinatingly, simple, single-celled organisms like Stentor coeruleus demonstrate advanced learning abilities, despite lacking brains or neurons.

The most basic form of learning, termed habituation, entails a gradual decline in response to recurrent, harmless stimuli—such as specific smells or sounds. This phenomenon is prevalent across all animal species and even plants, having also been observed in protists—complex eukaryotic cells that are principally unicellular. For example, both the trumpet-shaped blue spot stentor and slime mold Poly skull exhibit this behavior.

Moreover, a more complex aspect of learning involves associating different stimuli and events, allowing organisms to predict relationships. This form of associative learning became widely notable through Ivan Pavlov’s experiments where dogs learned to associate a bell’s sound with feeding, leading to salivation upon hearing the sound alone.

Recently, Sam Gershman from Harvard University and his team conducted similar experiments that indicated Stentor is capable of associative learning.

These remarkable organisms inhabit ponds and swim utilizing cilia, tiny hair-like structures lining their bodies. Growing up to 2 millimeters in length, Stentor stands out among single-celled entities, with a holdfast for anchoring and a trumpet-shaped feeding apparatus.

According to Gershman, “When they’re attached, they filter food. If disturbed, they rapidly contract into a ball shape, becoming immobile and unable to eat—this behavior is ecologically advantageous.” Using this response, they explored Stentor’s learning potential by tapping the bottom of a Petri dish containing numerous Stentor cultures. Initially, the creatures contracted quickly, but as the tapping continued—totaling 60 taps every 45 seconds—the contractions reduced, indicating habituation.

Subsequently, a weak tap was introduced one second before the stronger tap. This association is rare in microorganisms; the paired taps occurred every 45 seconds to align with Stentor’s unfolding time.

After conducting over 10 trials, researchers observed that the likelihood of a contraction after the weak tap initially surged before declining. “We noted a notable peak where the contraction rate rose and then fell—this isolation wouldn’t be visible through weak taps alone,” Gershman explained.

The findings reveal that Stentor is the first protist recognized for its associative learning ability, linking weak taps with louder ones. “This raises intriguing questions about whether seemingly simple organisms possess cognitive abilities typically reserved for more intricate multicellular organisms with nervous systems,” Gershman asserted.

This insight suggests that the capability for associative learning has ancient evolutionary roots, predating multicellular nervous systems by hundreds of millions of years. Some parallels may still be present in human neuron behavior, exhibiting learning independent of synaptic changes, illustrating diverse learning mechanisms.

It’s remarkable that a single-celled organism can perform complex tasks previously attributed solely to beings with brains and neurons. Shashank Shekhar at Emory University notes that Stentor can aggregate into temporary groups for more efficient feeding.

Gershman suspects other unicellular organisms might also possess associative learning abilities. “Once this trait arises, it likely emerges in various forms,” he claims.

If an organism is capable of learning, it must somehow store memories. While the exact mechanism in Stentor remains unclear, Gershman postulates it may involve calcium-receptive mechanisms altering internal voltages in response to stimuli, leading to contractions. These adaptations suggest possible molecular switches that inhibit contraction following repeated stimuli.

Topics:

  • Neuroscience /
  • Microbiology

Source: www.newscientist.com