Mechanisms driving behavioral variation in ecologically distinct Peromyscus mice
Bibliographic record
Abstract
Animal behavior is shaped both by ultimate and proximate forces. While evolutionary biologists have focused primarily on understanding the ultimate mechanisms driving behavioral variation in natural populations, geneticists and neurobiologists have largely been concerned with proximate mechanisms affecting behavior in laboratory model species. However, few studies have combined these approaches to investigate the genetic or neural basis of adaptive behavior in natural populations with known evolutionary history. Here, I present two independent studies that examine the proximate mechanisms (e.g., genetic and neural basis) of aggressive and defensive behavior in closely related, yet ecologically distinct deer mice (genus Peromyscus). In Chapter 1, I focus on the “island syndrome”, the iconic observation that island animals often share consistent differences in morphology and behavior compared to their closest relatives on the mainland. These traits are thought to be adaptations to island environments, but the extent to which they are heritable or instead represent plastic responses to environmental extremes is poorly understood. Specifically, I re-visit a classic case of deer mice (Peromyscus maniculatus) in British Columbia, Canada. Previous field studies in the 1970s and 1980s showed that density in the derived island population is increased, and island mice are heavier and less aggressive than ancestral mainland mice. To examine the genetic heritability of both the unique morphology and behavior of island mice, I first establish laboratory colonies from wild-derived mice to minimize environmental effects on phenotypes. I show that the body size differences are strongly heritable and controlled both by offspring and maternal genotypes, consistent with ecological predictions. Second, I confirm that wild-born island mice show a striking reduction of aggressive behavior, compared to high levels of aggression in mainland mice. Surprisingly, however, these differences disappear in captive-born mice island and mainland mice. Thus, my experiments point to a variable proximate response of morphological and behavioral traits to the environmental conditions on the island, and suggest that individual experience may influence the expression of ecologically relevant behavior. In Chapter 2, I examine the neural mechanisms underlying heritable variation in defensive behavior to overhead visual threat in ecologically distinct deer mice: P. maniculatus occurs in densely vegetated prairie and forest habitats, while P. polionotus inhabits open habitats with little vegetative cover. I first discover striking behavioral differences between these closely related species: P. maniculatus escape from a looming stimulus, while P. polionotus briefly pause, a behavior reminiscent of threat assessment. By varying threat intensity, I demonstrate that these differences arise because P. maniculatus have a lower escape threshold. Using expression of c-Fos as a readout of neuronal activity, I show that neuronal activation in the deep layers of the superior colliculus, a brain region encoding threat intensity, is proportional to escape magnitude in both species. By contrast, neuronal activation in the dorsal periaqueductal gray (dPAG), a downstream brain region that gates and initiates escape, is proportional to escape magnitude in P. maniculatus, but I do not find evidence for dPAG activation in P. polionotus, even in strongly escaping mice. To further probe the role of dPAG in these two species, I (with collaborators) establish optogenetics for the first time in Peromyscus mice. By activating the dPAG, I find that both species pause in response to low laser powers, consistent with observations that both species pause to low threat intensity. However, P. maniculatus switch to escape with increasing laser powers, while P. polionotus tend to pause more strongly. These results suggest that evolution may have acted on a central brain circuit such that two closely related, but ecologically distinct, species respond to the same external stimulus in different ways. Together, these two studies demonstrate how the proximate mechanisms underlying behavior in wild-derived animal populations can be modified over ontogenetic and evolutionary time to flexibly allow animals to adapt to their natural environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".