A test of the adaptive specialization hypothesis: Population differences in caching, memory, and the hippocampus in black-capped chickadees (Poecile atricapilla).

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To test the hypothesis that accurate cache recovery is more critical for birds that live in harsh conditions where the food supply is limited and unpredictable, the authors compared food caching, memory, and the hippocampus of black-capped chickadees (Poecile atricapilla) from Alaska and Colorado. Under identical laboratory conditions, Alaska chickadees (a) cached significantly more food; (b) were more efficient at cache recovery: (c) performed more accurately on one-trial associative learning tasks in which birds had to rely on spatial memory, but did not differ when tested on a nonspatial version of this task; and (d) had significantly larger hippocampal volumes containing more neurons compared with Colorado chickadees. The results support the hypothesis that these population differences may reflect adaptations to a harsh environment.

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CitationsShowing 10 of 221 papers
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  • 10.1016/j.cobeha.2022.101138
Cognitive ecology in the wild — advances and challenges in avian cognition research
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Cognitive ecology in the wild — advances and challenges in avian cognition research

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Untangling Elevation-Related Differences in the Hippocampus in Food-Caching Mountain Chickadees: The Effect of a Uniform Captive Environment
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  • C.A Freas + 3 more

Variation in environmental conditions associated with differential selection on spatial memory has been hypothesized to result in evolutionary changes in the morphology of the hippocampus, a brain region involved in spatial memory. At the same time, it is well known that the morphology of the hippocampus might also be directly affected by environmental conditions. Understanding the role of environment-based plasticity is therefore critical when investigating potential adaptive evolutionary changes in the hippocampus associated with environmental variation. We previously demonstrated large elevation-related variation in hippocampus morphology in mountain chickadees over an extremely small spatial scale. We hypothesized that this variation is related to differential selection pressures associated with differences in winter climate severity along an elevation gradient, which make different demands on spatial memory used for food cache retrieval. Here, we tested whether such variation is experience based, generated by potential differences in the environment, by comparing the hippocampus morphology of chickadees from different elevations maintained in a uniform captive environment in a laboratory with those sampled directly from the wild. In addition, we compared hippocampal neuron soma size in chickadees sampled directly from the wild with those maintained in laboratory conditions with restricted and unrestricted spatial memory use via manipulation of food-caching experiences to test whether memory use can affect neuron soma size. There were significant elevation-related differences in hippocampus volume and the total number of hippocampal neurons, but not in neuron soma size, in captive birds. Captive environmental conditions were associated with a large reduction in hippocampus volume and neuron soma size, but not in the total number of neurons or in neuron soma size in other telencephalic regions. Restriction of memory use while in laboratory conditions produced no significant effects on hippocampal neuron soma size. Overall our results showed that captivity has a strong effect on hippocampus volume, which could be due, at least partly, to a reduction in neuron soma size specifically in the hippocampus, but it did not override elevation-related differences in hippocampus volume or in the total number of hippocampal neurons. These data are consistent with the idea of the adaptive nature of the elevation-related differences associated with selection on spatial memory, while at the same time demonstrating additional environment-based plasticity in hippocampus volume, but not in neuron numbers. Our results, however, cannot rule out that the differences between elevations might still be driven by some developmental or early posthatching conditions/experiences.

  • Open Access Icon
  • Dissertation
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Interactions between neuroanatomy, cognition, and ecology in Anolis lizards
  • Jan 1, 2021
  • Levi Storks

The interactions between an organism and its environment are mediated by cognition, the substrates of which are in the brain. Cognition is ubiquitous across vertebrates, yet we still know very little about the factors shaping its evolution, particularly outside of birds and mammals. In natural environments, cognition likely impacts organism fitness. Behavioral flexibility, which enables an animal to modulate its behavior to match its environment, may facilitate success in novel habitats, such as in dispersal to islands, biotic invasions, and urban adaptation. Cognitive specializations may also be associated with specific ecological traits, such as habitat complexity. Furthermore, our understanding of the neural substrates of cognition in the brain is primarily limited to studies of relative brain size. The first chapter provides a more in depth introduction to these topics. In this dissertation, I explore the interactions between cognition, neuroanatomy, and ecology in Anolis lizards. Anolis lizards exhibit a diversity of habitat specializations, which is the result of adaptive radiation in the West Indies. As mentioned above, cognitive mechanisms in anoles may play a role in adjusting to novel environments and exploiting new niches. In the second chapter, I modified a detour task to evaluate whether wild, free-living Anolis sagrei can solve a novel detour problem under natural conditions. In the second chapter, I compare the neuron and nonneuron number and density of Anolis cristatellus and Anolis evermanni to see whether differences in neuroanatomy reflect their differential performance on an extractive foraging task. I also explore how these data relate to published observations from other vertebrates. Finally, in the fourth chapter I expand upon two previous studies by evaluating whether neuron number follows the predictions of concerted or mosaic evolution in five species of Puerto Rican Anolis and whether habitat complexity explains differences in neuron density between species. I conclude in the final chapter by summarizing my results and outlining future directions. Taken together, the results presented in this dissertation demonstrate the potential for studying cognition and neuroanatomy in an evolutionary context. The methods applied in my second chapter can be used in the future to explore the connection between cognition and fitness in lizards, which are a tractable model for such studies under natural conditions. My third and fourth chapters took a novel approach by studying neuroanatomical differences between species in neuron number and density, and generated novel insights into brain evolution in Anolis. By studying cognition and the brain in lizards and other ectotherms, we can begin to finally understand factors shaping the evolution of cognition and neuroanatomy across vertebrates.

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Genes and gene networks underlying spatial cognition in food-caching chickadees
  • Apr 17, 2024
  • Current Biology
  • Georgy A Semenov + 9 more

Genes and gene networks underlying spatial cognition in food-caching chickadees

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The physiological control of eating: signals, neurons, and networks.
  • Sep 6, 2021
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  • Alan G Watts + 3 more

During the past 30 yr, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable degree of cell specificity, particularly at the cell signaling level, and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections: a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain that are defined by specific neural connections. We begin by discussing some fundamental concepts, including ones that still engender vigorous debate, that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.

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Spatial Memory and Hippocampal Function in a NonFoodstoring Songbird, the Zebra Finch (Taeniopygia guttata)
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Spatial memory and hippocampal function have as yet been investigated mainly in pigeons and food storing songbirds. We show here that the zebra finch, a songbird not specialized in food storing and caching, is also able to learn a spatial memory task and uses a spatial map for finding food in a 'dry water maze'. Hippocampal lesions prevent learning and retention of this spatial task. The immediate early gene (IEG) products Zenk and Fos are expressed within the hippocampus when the bird is learning the task. Spatial learning cannot be assigned to any hippocampal subregion; IEG expression within the hippocampus is patchy and seems almost arbitrarily located. The IEG activation pattern in spatial memory experiments is compared with those in other learning experiments with zebra finches.

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The Homing Pigeon Hippocampus and Space: In Search of Adaptive Specialization
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The hippocampus (HF) of birds and mammals is essential for the map-like representation of environmental landmarks used for navigation. However, species with contrasting spatial behaviors and evolutionary histories are likely to display differences, or ‘adaptive specializations’, in HF organization reflective of those contrasts. In the search for HF specialization in homing pigeons, we are investigating the spatial response properties of isolated HF neurons and possible right-left HF differences in the representation of space. The most notable result from the recording work is that we have yet to find neurons in the homing pigeon HF that display spatial response properties similar to HF ‘place cells’ of rats. Of interest is the suggestion of neurons that show higher levels of activity when pigeons are near goal locations and neurons that show higher levels of activity when pigeons are in a holding area prior to be being placed in an experimental environment. In contrast to the rat, the homing pigeon HF appears to be functionally lateralized. Results from a current lesion study demonstrate that only the left HF is sensitive to landmarks that are located within the boundaries of an experimental environment, whereas the right HF is indifferent to such landmarks but sensitive to global environmental features (e.g., geometry) of the experimental space. The preliminary electrophysiological and lateralization results offer interesting departure points for better understanding possible HF specialization in homing pigeons. However, the pigeon and rat HF reside in different forebrain environments characterized by a wulst and neocortex, respectively. Differences in the forebrain organization of pigeons and rats, and birds and mammals in general, must be considered in making sense of possible species differences in how HF participates in the representation of space.

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Plasticity and genetic effects contribute to different axes of neural divergence in a community of mimetic Heliconius butterflies.
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Changes in ecological preference, often driven by spatial and temporal variation in resource distribution, can expose populations to environments with divergent information content. This can lead to adaptive changes in the degree to which individuals invest in sensory systems and downstream processes, to optimize behavioural performance in different contexts. At the same time, environmental conditions can produce plastic responses in nervous system development and maturation, providing an alternative route to integrating neural and ecological variation. Here, we explore how these two processes play out across a community of Heliconius butterflies. Heliconius communities exhibit multiple Mullerian mimicry rings, associated with habitat partitioning across environmental gradients. These environmental differences have previously been linked to heritable divergence in brain morphology in parapatric species pairs. They also exhibit a unique dietary adaptation, known as pollen feeding, that relies heavily on learning foraging routes, or trap-lines, between resources, which implies an important environmental influence on behavioural development. By comparing brain morphology across 133 wild-caught and insectary-reared individuals from seven Heliconius species, we find strong evidence for interspecific variation in patterns of neural investment. These largely fall into two distinct patterns of variation; first, we find consistent patterns of divergence in the size of visual brain components across both wild and insectary-reared individuals, suggesting genetically encoded divergence in the visual pathway. Second, we find interspecific differences in mushroom body size, a central component of learning and memory systems, but only among wild caught individuals. The lack of this effect in common-garden individuals suggests an extensive role for developmental plasticity in interspecific variation in the wild. Finally, we illustrate the impact of relatively small-scale spatial effects on mushroom body plasticity by performing experiments altering the cage size and structure experienced by individual H. hecale. Our data provide a comprehensive survey of community level variation in brain structure, and demonstrate that genetic effects and developmental plasticity contribute to different axes of interspecific neural variation.

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