1
|
Parise LF, Joseph Burnett C, Russo SJ. Early life stress and altered social behaviors: A perspective across species. Neurosci Res 2025; 211:65-74. [PMID: 37992997 PMCID: PMC11102940 DOI: 10.1016/j.neures.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 07/21/2023] [Accepted: 11/04/2023] [Indexed: 11/24/2023]
Abstract
Childhood and adolescent affiliations guide how individuals engage in social relationships throughout their lifetime and adverse experiences can promote biological alterations that facilitate behavioral maladaptation. Indeed, childhood victims of abuse are more likely to be diagnosed with conduct or mood disorders which are both characterized by altered social engagement. A key domain particularly deserving of attention is aggressive behavior, a hallmark of many disorders characterized by deficits in reward processing. Animal models have been integral in identifying both the short- and long-term consequences of stress exposure and suggest that whether it is disruption to parental care or social isolation, chronic exposure to early life stress increases corticosterone, changes the expression of neurotransmitters and neuromodulators, and facilitates structural alterations to the hypothalamus, hippocampus, and amygdala, influencing how these brain regions communicate with other reward-related substrates. Herein, we describe how adverse early life experiences influence social behavioral outcomes across a wide range of species and highlight the long-term biological mechanisms that are most relevant to maladaptive aggressive behavior.
Collapse
Affiliation(s)
- Lyonna F Parise
- Icahn School of Medicine, Nash Family Department of Neuroscience and Friedman Brain Institute, New York, NY, USA.
| | - C Joseph Burnett
- Icahn School of Medicine, Nash Family Department of Neuroscience and Friedman Brain Institute, New York, NY, USA
| | - Scott J Russo
- Icahn School of Medicine, Nash Family Department of Neuroscience and Friedman Brain Institute, New York, NY, USA.
| |
Collapse
|
2
|
Ehlman SM, Scherer U, Bierbach D, Francisco FA, Laskowski KL, Krause J, Wolf M. Leveraging big data to uncover the eco-evolutionary factors shaping behavioural development. Proc Biol Sci 2023; 290:20222115. [PMID: 36722081 PMCID: PMC9890127 DOI: 10.1098/rspb.2022.2115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Mapping the eco-evolutionary factors shaping the development of animals' behavioural phenotypes remains a great challenge. Recent advances in 'big behavioural data' research-the high-resolution tracking of individuals and the harnessing of that data with powerful analytical tools-have vastly improved our ability to measure and model developing behavioural phenotypes. Applied to the study of behavioural ontogeny, the unfolding of whole behavioural repertoires can be mapped in unprecedented detail with relative ease. This overcomes long-standing experimental bottlenecks and heralds a surge of studies that more finely define and explore behavioural-experiential trajectories across development. In this review, we first provide a brief guide to state-of-the-art approaches that allow the collection and analysis of high-resolution behavioural data across development. We then outline how such approaches can be used to address key issues regarding the ecological and evolutionary factors shaping behavioural development: developmental feedbacks between behaviour and underlying states, early life effects and behavioural transitions, and information integration across development.
Collapse
Affiliation(s)
- Sean M. Ehlman
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Faculty of Life Sciences, Humboldt University, 10117 Berlin, Germany,Department of Fish Biology, Fisheries, and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
| | - Ulrike Scherer
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Faculty of Life Sciences, Humboldt University, 10117 Berlin, Germany,Department of Fish Biology, Fisheries, and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
| | - David Bierbach
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Faculty of Life Sciences, Humboldt University, 10117 Berlin, Germany,Department of Fish Biology, Fisheries, and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
| | - Fritz A. Francisco
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Faculty of Life Sciences, Humboldt University, 10117 Berlin, Germany
| | - Kate L. Laskowski
- Department of Evolution and Ecology, University of California – Davis, Davis, CA 95616, USA
| | - Jens Krause
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Faculty of Life Sciences, Humboldt University, 10117 Berlin, Germany,Department of Fish Biology, Fisheries, and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
| | - Max Wolf
- SCIoI Excellence Cluster, 10587 Berlin, Germany,Department of Fish Biology, Fisheries, and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany
| |
Collapse
|
3
|
Queller PS, Shirali Y, Wallace KJ, DeAngelis RS, Yurt V, Reding LP, Cummings ME. Complex sexual-social environments produce high boldness and low aggression behavioral syndromes. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.1050569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
IntroductionEvidence of animal personality and behavioral syndromes is widespread across animals, yet the development of these traits remains poorly understood. Previous research has shown that exposure to predators, heterospecifics, and urbanized environments can influence personality and behavioral syndromes. Yet, to date, the influence of early social experiences with conspecifics on the development of adult behavioral traits is far less known. We use swordtail fish (Xiphophorus nigrensis), a species with three genetically-determined male mating strategies (courtship display, coercion, or mixed strategy) to assess how different early-life social experiences shape adult behavioral development.MethodsWe raised female swordtails from birth to adulthood in density-controlled sexual-social treatments that varied in the presence of the type of male mating tactics (coercers only, displayers only, coercers and displayers, and mixed-strategists only). At adulthood, we tested females’ boldness, shyness, aggression, sociality, and activity.ResultsWe found that the number of different mating strategies females were raised with (social complexity) shaped behavioral development more than any individual mating strategy. Females reared in complex environments with two male mating tactics were bolder, less shy, and less aggressive than females reared with a single male mating tactic (either courtship only or coercion only). Complex sexual-social environments produced females with behavioral syndromes (correlations between aggression and activity, shyness and aggression, and social interaction and activity), whereas simple environments did not.DiscussionImportantly, the characteristics of these socially-induced behavioral syndromes differ from those driven by predation, but converge on characteristics emerging from animals found in urban environments. Our findings suggest that complexity of the sexual-social environment shapes the development of personality and behavioral syndromes to facilitate social information gathering. Furthermore, our research highlights the previously overlooked influence of sexual selection as a significant contributing factor to diverse behavioral development.
Collapse
|
4
|
Ehlman SM, Scherer U, Wolf M. Developmental feedbacks and the emergence of individuality. ROYAL SOCIETY OPEN SCIENCE 2022; 9:221189. [PMID: 36465682 DOI: 10.6084/m9.figshare.c.6315476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/07/2022] [Indexed: 05/24/2023]
Abstract
Behavioural individuality is a hallmark of animal life, with major consequences for fitness, ecology, and evolution. One of the most widely invoked explanations for this variation is that feedback loops between an animal's behaviour and its state (e.g. physiology, informational state, social rank, etc.) trigger and shape the development of individuality. Despite their often-cited importance, however, little is known about the ultimate causes of such feedbacks. Expanding on a previously employed model of adaptive behavioural development under uncertainty, we find that (i) behaviour-state feedbacks emerge as a direct consequence of adaptive behavioural development in particular selective environments and (ii) that the sign of these feedbacks, and thus the consequences for the development of behavioural individuality, can be directly predicted by the shape of the fitness function, with increasing fitness benefits giving rise to positive feedbacks and trait divergence and decreasing fitness benefits leading to negative feedbacks and trait convergence. Our findings provide a testable explanatory framework for the emergence of developmental feedbacks driving individuality and suggest that such feedbacks and their associated patterns of behavioural diversity are a direct consequence of adaptive behavioural development in particular selective environments.
Collapse
Affiliation(s)
- Sean M Ehlman
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Ulrike Scherer
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Max Wolf
- SCIoI Excellence Cluster, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| |
Collapse
|
5
|
Ehlman SM, Scherer U, Wolf M. Developmental feedbacks and the emergence of individuality. ROYAL SOCIETY OPEN SCIENCE 2022; 9:221189. [PMID: 36465682 PMCID: PMC9709565 DOI: 10.1098/rsos.221189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/07/2022] [Indexed: 05/08/2023]
Abstract
Behavioural individuality is a hallmark of animal life, with major consequences for fitness, ecology, and evolution. One of the most widely invoked explanations for this variation is that feedback loops between an animal's behaviour and its state (e.g. physiology, informational state, social rank, etc.) trigger and shape the development of individuality. Despite their often-cited importance, however, little is known about the ultimate causes of such feedbacks. Expanding on a previously employed model of adaptive behavioural development under uncertainty, we find that (i) behaviour-state feedbacks emerge as a direct consequence of adaptive behavioural development in particular selective environments and (ii) that the sign of these feedbacks, and thus the consequences for the development of behavioural individuality, can be directly predicted by the shape of the fitness function, with increasing fitness benefits giving rise to positive feedbacks and trait divergence and decreasing fitness benefits leading to negative feedbacks and trait convergence. Our findings provide a testable explanatory framework for the emergence of developmental feedbacks driving individuality and suggest that such feedbacks and their associated patterns of behavioural diversity are a direct consequence of adaptive behavioural development in particular selective environments.
Collapse
Affiliation(s)
- Sean M. Ehlman
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB – Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Ulrike Scherer
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB – Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Max Wolf
- SCIoI Excellence Cluster, Berlin, Germany
- IGB – Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| |
Collapse
|
6
|
Ehlman SM, Scherer U, Wolf M. Developmental feedbacks and the emergence of individuality. ROYAL SOCIETY OPEN SCIENCE 2022; 9:221189. [PMID: 36465682 DOI: 10.5281/zenodo.7299681] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 11/07/2022] [Indexed: 05/24/2023]
Abstract
Behavioural individuality is a hallmark of animal life, with major consequences for fitness, ecology, and evolution. One of the most widely invoked explanations for this variation is that feedback loops between an animal's behaviour and its state (e.g. physiology, informational state, social rank, etc.) trigger and shape the development of individuality. Despite their often-cited importance, however, little is known about the ultimate causes of such feedbacks. Expanding on a previously employed model of adaptive behavioural development under uncertainty, we find that (i) behaviour-state feedbacks emerge as a direct consequence of adaptive behavioural development in particular selective environments and (ii) that the sign of these feedbacks, and thus the consequences for the development of behavioural individuality, can be directly predicted by the shape of the fitness function, with increasing fitness benefits giving rise to positive feedbacks and trait divergence and decreasing fitness benefits leading to negative feedbacks and trait convergence. Our findings provide a testable explanatory framework for the emergence of developmental feedbacks driving individuality and suggest that such feedbacks and their associated patterns of behavioural diversity are a direct consequence of adaptive behavioural development in particular selective environments.
Collapse
Affiliation(s)
- Sean M Ehlman
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Ulrike Scherer
- SCIoI Excellence Cluster, Berlin, Germany
- Humboldt University, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Max Wolf
- SCIoI Excellence Cluster, Berlin, Germany
- IGB - Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| |
Collapse
|
7
|
Borstel KJ, Stevenson PA. Individual Scores for Associative Learning in a Differential Appetitive Olfactory Paradigm Using Binary Logistic Regression Analysis. Front Behav Neurosci 2021; 15:741439. [PMID: 34650412 PMCID: PMC8505765 DOI: 10.3389/fnbeh.2021.741439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 08/31/2021] [Indexed: 11/29/2022] Open
Abstract
Numerous invertebrates have contributed to our understanding of the biology of learning and memory. In most cases, learning performance is documented for groups of individuals, and nearly always based on a single, typically binary, behavioural metric for a conditioned response. This is unfortunate for several reasons. Foremost, it has become increasingly apparent that invertebrates exhibit inter-individual differences in many aspects of their behaviour, and also that the conditioned response probability for an animal group does not adequately represent the behaviour of individuals in classical conditioning. Furthermore, a binary response character cannot yield a graded score for each individual. We also hypothesise that due to the complexity of a conditioned response, a single metric need not reveal an individual's full learning potential. In this paper, we report individual learning scores for freely moving adult male crickets (Gryllus bimaculatus) based on a multi-factorial analysis of a conditioned response. First, in an absolute conditioning paradigm, we video-tracked the odour responses of animals that, in previous training, received either odour plus reward (sugar water), reward alone, or odour alone to identify behavioural predictors of a conditioned response. Measures of these predictors were then analysed using binary regression analysis to construct a variety of mathematical models that give a probability for each individual that it exhibited a conditioned response (Presp). Using standard procedures to compare model accuracy, we identified the strongest model which could reliably discriminate between the different odour responses. Finally, in a differential appetitive olfactory paradigm, we employed the model after training to calculate the Presp of animals to a conditioned, and to an unconditioned odour, and from the difference a learning index for each animal. Comparing the results from our multi-factor model with a single metric analysis (head bobbing in response to a conditioned odour), revealed advantageous aspects of the model. A broad distribution of model-learning scores, with modes at low and high values, support the notion of a high degree of variation in learning capacity, which we discuss.
Collapse
Affiliation(s)
- Kim J Borstel
- Department of Physiology of Animals and Behaviour, Institute of Biology, Faculty of Life Sciences, Leipzig University, Leipzig, Germany
| | - Paul A Stevenson
- Department of Physiology of Animals and Behaviour, Institute of Biology, Faculty of Life Sciences, Leipzig University, Leipzig, Germany
| |
Collapse
|