1
|
Corral-Lopez A, Bloch NI, van der Bijl W, Cortazar-Chinarro M, Szorkovszky A, Kotrschal A, Darolti I, Buechel SD, Romenskyy M, Kolm N, Mank JE. Functional convergence of genomic and transcriptomic architecture underlies schooling behaviour in a live-bearing fish. Nat Ecol Evol 2024; 8:98-110. [PMID: 37985898 PMCID: PMC10781616 DOI: 10.1038/s41559-023-02249-9] [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: 04/11/2023] [Accepted: 10/12/2023] [Indexed: 11/22/2023]
Abstract
The organization and coordination of fish schools provide a valuable model to investigate the genetic architecture of affiliative behaviours and dissect the mechanisms underlying social behaviours and personalities. Here we used replicate guppy selection lines that vary in schooling propensity and combine quantitative genetics with genomic and transcriptomic analyses to investigate the genetic basis of sociability phenotypes. We show that consistent with findings in collective motion patterns, experimental evolution of schooling propensity increased the sociability of female, but not male, guppies when swimming with unfamiliar conspecifics. This finding highlights a relevant link between coordinated motion and sociability for species forming fission-fusion societies in which both group size and the type of social interactions are dynamic across space and time. We further show that alignment and attraction, the two major traits forming the sociability personality axis in this species, showed heritability estimates at the upper end of the range previously described for social behaviours, with important variation across sexes. The results from both Pool-seq and RNA-seq data indicated that genes involved in neuron migration and synaptic function were instrumental in the evolution of sociability, highlighting a crucial role of glutamatergic synaptic function and calcium-dependent signalling processes in the evolution of schooling.
Collapse
Affiliation(s)
- Alberto Corral-Lopez
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
- Department of Zoology/Ethology, Stockholm University, Stockholm, Sweden.
- Division of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
| | - Natasha I Bloch
- Department of Biomedical Engineering, University of Los Andes, Bogota, Colombia
| | - Wouter van der Bijl
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Maria Cortazar-Chinarro
- Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- MEMEG Department of Biology, Lund University, Lund, Sweden
| | - Alexander Szorkovszky
- RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway
| | - Alexander Kotrschal
- Behavioural Ecology, Wageningen University and Research, Wageningen, the Netherlands
| | - Iulia Darolti
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Severine D Buechel
- Behavioural Ecology, Wageningen University and Research, Wageningen, the Netherlands
| | - Maksym Romenskyy
- Department of Zoology/Ethology, Stockholm University, Stockholm, Sweden
| | - Niclas Kolm
- Department of Zoology/Ethology, Stockholm University, Stockholm, Sweden
| | - Judith E Mank
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
2
|
Albery GF, Bansal S, Silk MJ. Comparative approaches in social network ecology. Ecol Lett 2024; 27:e14345. [PMID: 38069575 DOI: 10.1111/ele.14345] [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: 05/03/2023] [Revised: 10/10/2023] [Accepted: 10/16/2023] [Indexed: 01/31/2024]
Abstract
Social systems vary enormously across the animal kingdom, with important implications for ecological and evolutionary processes such as infectious disease dynamics, anti-predator defence, and the evolution of cooperation. Comparing social network structures between species offers a promising route to help disentangle the ecological and evolutionary processes that shape this diversity. Comparative analyses of networks like these are challenging and have been used relatively little in ecology, but are becoming increasingly feasible as the number of empirical datasets expands. Here, we provide an overview of multispecies comparative social network studies in ecology and evolution. We identify a range of advancements that these studies have made and key challenges that they face, and we use these to guide methodological and empirical suggestions for future research. Overall, we hope to motivate wider publication and analysis of open social network datasets in animal ecology.
Collapse
Affiliation(s)
- Gregory F Albery
- Department of Biology, Georgetown University, Washington, District of Columbia, USA
- Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Shweta Bansal
- Department of Biology, Georgetown University, Washington, District of Columbia, USA
| | - Matthew J Silk
- CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
3
|
Cook PA, Costello RA, Formica VA, Brodie ED. Individual and Population Age Impact Social Behavior and Network Structure in a Long-Lived Insect. Am Nat 2023; 202:667-680. [PMID: 37963123 DOI: 10.1086/726063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
AbstractSocial behaviors vary among individuals, and social networks vary among groups. Understanding the causes of such variation is important for predicting or altering ecological processes such as infectious disease outbreaks. Here, we ask whether age contributes to variation in social behavior at multiple levels of organization: within individuals over time, among individuals of different ages, among local social environments, and among populations. We used experimental manipulations of captive populations and a longitudinal dataset to test whether social behavior is associated with age across these levels in a long-lived insect, the forked fungus beetle (Bolitotherus cornutus). In cross-sectional analyses, we found that older beetles were less connected in their social networks. Longitudinal data confirmed that this effect was due in part to changes in behavior over time; beetles became less social over 2 years, possibly because of increased social selectivity or reproductive investment. Beetles of different ages also occupied different local social neighborhoods. The effects of age on behavior scaled up: populations of older individuals had fewer interactions, fewer but more variable relationships, longer network path lengths, and lower clustering than populations of young individuals. Age therefore impacted not only individual sociality but also the network structures that mediate critical population processes.
Collapse
|
4
|
Wice EW, Saltz JB. Indirect genetic effects for social network structure in Drosophila melanogaster. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220075. [PMID: 36802774 PMCID: PMC9939268 DOI: 10.1098/rstb.2022.0075] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 12/16/2022] [Indexed: 02/21/2023] Open
Abstract
The position an individual holds in a social network is dependent on both its direct and indirect social interactions. Because social network position is dependent on the actions and interactions of conspecifics, it is likely that the genotypic composition of individuals within a social group impacts individuals' network positions. However, we know very little about whether social network positions have a genetic basis, and even less about how the genotypic makeup of a social group impacts network positions and structure. With ample evidence indicating that network positions influence various fitness metrics, studying how direct and indirect genetic effects shape network positions is crucial for furthering our understanding of how the social environment can respond to selection and evolve. Using replicate genotypes of Drosophila melanogaster fruit flies, we created social groups that varied in their genotypic makeup. Social groups were videoed, and networks were generated using motion-tracking software. We found that both an individual's own genotype and the genotypes of conspecifics in its social group affect its position within a social network. These findings provide an early example of how indirect genetic effects and social network theory can be linked, and shed new light on how quantitative genetic variation shapes the structure of social groups. This article is part of a discussion meeting issue 'Collective behaviour through time'.
Collapse
Affiliation(s)
- Eric Wesley Wice
- Department of Biosciences, Rice University, Houston, TX 77005, USA
| | | |
Collapse
|
5
|
Philson CS, Blumstein DT. Emergent social structure is typically not associated with survival in a facultatively social mammal. Biol Lett 2023; 19:20220511. [PMID: 36918036 PMCID: PMC10014246 DOI: 10.1098/rsbl.2022.0511] [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: 11/09/2022] [Accepted: 02/23/2023] [Indexed: 03/16/2023] Open
Abstract
For social animals, group social structure has important consequences for disease and information spread. While prior studies showed individual connectedness within a group has fitness consequences, less is known about the fitness consequences of group social structure for the individuals who comprise the group. Using a long-term dataset on a wild population of facultatively social yellow-bellied marmots (Marmota flaviventer), we showed social structure had largely no relationship with survival, suggesting consequences of individual social phenotypes may not scale to the group social phenotype. An observed relationship for winter survival suggests a potentially contrasting direction of selection between the group and previous research on the individual level; less social individuals, but individuals in more social groups experience greater winter survival. This work provides valuable insights into evolutionary implications across social phenotypic scales.
Collapse
Affiliation(s)
- Conner S. Philson
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA 90095-1606, USA
- Rocky Mountain Biological Laboratory, Box 519, Crested Butte, CO 81224, USA
| | - Daniel T. Blumstein
- Department of Ecology and Evolutionary Biology, University of California, 621 Young Drive South, Los Angeles, CA 90095-1606, USA
- Rocky Mountain Biological Laboratory, Box 519, Crested Butte, CO 81224, USA
| |
Collapse
|
6
|
Socioconnectomics: Connectomics Should Be Extended to Societies to Better Understand Evolutionary Processes. SCI 2023. [DOI: 10.3390/sci5010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Connectomics, which is the network study of connectomes or maps of the nervous system of an organism, should be applied and expanded to human and animal societies, resulting in the birth of the domain of socioconnectomics compared to neuroconnectomics. This new network study framework would open up new perspectives in evolutionary biology and add new elements to theories, such as the social and cultural brain hypotheses. Answering questions about network topology, specialization, and their connections with functionality at one level (i.e., neural or societal) may help in understanding the evolutionary trajectories of these patterns at the other level. Expanding connectomics to societies should be done in comparison and combination with multilevel network studies and the possibility of multiorganization selection processes. The study of neuroconnectomes and socioconnectomes in animals, from simpler to more advanced ones, could lead to a better understanding of social network evolution and the feedback between social complexity and brain complexity.
Collapse
|
7
|
Lamarins A, Fririon V, Folio D, Vernier C, Daupagne L, Labonne J, Buoro M, Lefèvre F, Piou C, Oddou‐Muratorio S. Importance of interindividual interactions in eco-evolutionary population dynamics: The rise of demo-genetic agent-based models. Evol Appl 2022; 15:1988-2001. [PMID: 36540635 PMCID: PMC9753837 DOI: 10.1111/eva.13508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/29/2022] Open
Abstract
The study of eco-evolutionary dynamics, that is of the intertwinning between ecological and evolutionary processes when they occur at comparable time scales, is of growing interest in the current context of global change. However, many eco-evolutionary studies overlook the role of interindividual interactions, which are hard to predict and yet central to selective values. Here, we aimed at putting forward models that simulate interindividual interactions in an eco-evolutionary framework: the demo-genetic agent-based models (DG-ABMs). Being demo-genetic, DG-ABMs consider the feedback loop between ecological and evolutionary processes. Being agent-based, DG-ABMs follow populations of interacting individuals with sets of traits that vary among the individuals. We argue that the ability of DG-ABMs to take into account the genetic heterogeneity-that affects individual decisions/traits related to local and instantaneous conditions-differentiates them from analytical models, another type of model largely used by evolutionary biologists to investigate eco-evolutionary feedback loops. Based on the review of studies employing DG-ABMs and explicitly or implicitly accounting for competitive, cooperative or reproductive interactions, we illustrate that DG-ABMs are particularly relevant for the exploration of fundamental, yet pressing, questions in evolutionary ecology across various levels of organization. By jointly modelling the effects of management practices and other eco-evolutionary processes on interindividual interactions and population dynamics, DG-ABMs are also effective prospective and decision support tools to evaluate the short- and long-term evolutionary costs and benefits of management strategies and to assess potential trade-offs. Finally, we provide a list of the recent practical advances of the ABM community that should facilitate the development of DG-ABMs.
Collapse
Affiliation(s)
- Amaïa Lamarins
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance,Management of Diadromous Fish in their Environment, OFB, INRAE, Institut AgroUniv Pau & Pays Adour/E2S UPPARennesFrance
| | - Victor Fririon
- INRAE, UR 629 Ecologie des Forêts Méditerranéennes, URFMAvignonFrance
| | - Dorinda Folio
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Camille Vernier
- CIRAD, UMR CBGP, INRAE, IRD, Montpellier SupAgroUniv. MontpellierMontpellierFrance
| | - Léa Daupagne
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Jacques Labonne
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Mathieu Buoro
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - François Lefèvre
- INRAE, UR 629 Ecologie des Forêts Méditerranéennes, URFMAvignonFrance
| | - Cyril Piou
- CIRAD, UMR CBGP, INRAE, IRD, Montpellier SupAgroUniv. MontpellierMontpellierFrance
| | - Sylvie Oddou‐Muratorio
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| |
Collapse
|
8
|
Cook PA, Baker OM, Costello RA, Formica VA, Brodie ED. Group composition of individual personalities alters social network structure in experimental populations of forked fungus beetles. Biol Lett 2022; 18:20210509. [PMID: 35291883 PMCID: PMC8923822 DOI: 10.1098/rsbl.2021.0509] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 02/24/2022] [Indexed: 01/02/2023] Open
Abstract
Social network structure is a critical group character that mediates the flow of information, pathogens and resources among individuals in a population, yet little is known about what shapes social structures. In this study, we experimentally tested whether social network structure depends on the personalities of individual group members. Replicate groups of forked fungus beetles (Bolitotherus cornutus) were engineered to include only members previously assessed as either more social or less social. We found that individuals expressed consistent personalities across social contexts, exhibiting repeatable numbers of interactions and numbers of partners. Groups composed of more social individuals formed networks with higher interaction rates, higher tie density, higher global clustering and shorter average shortest paths than those composed of less social individuals. We highlight group composition of personalities as a source of variance in group traits and a potential mechanism by which networks could evolve.
Collapse
Affiliation(s)
- Phoebe A. Cook
- Department of Biology and Mountain Lake Biological Station, University of Virginia, Charlottesville, VA 22904, USA
| | - Olivia M. Baker
- Department of Biology and Mountain Lake Biological Station, University of Virginia, Charlottesville, VA 22904, USA
| | - Robin A. Costello
- Department of Biology and Mountain Lake Biological Station, University of Virginia, Charlottesville, VA 22904, USA
| | | | - Edmund D. Brodie
- Department of Biology and Mountain Lake Biological Station, University of Virginia, Charlottesville, VA 22904, USA
| |
Collapse
|
9
|
|
10
|
Gartland LA, Firth JA, Laskowski KL, Jeanson R, Ioannou CC. Sociability as a personality trait in animals: methods, causes and consequences. Biol Rev Camb Philos Soc 2021; 97:802-816. [PMID: 34894041 DOI: 10.1111/brv.12823] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 11/27/2021] [Accepted: 11/30/2021] [Indexed: 02/06/2023]
Abstract
Within animal populations there is variation among individuals in their tendency to be social, where more sociable individuals associate more with other individuals. Consistent inter-individual variation in 'sociability' is considered one of the major axes of personality variation in animals along with aggressiveness, activity, exploration and boldness. Not only is variation in sociability important in terms of animal personalities, but it holds particular significance for, and can be informed by, two other topics of major interest: social networks and collective behaviour. Further, knowledge of what generates inter-individual variation in social behaviour also holds applied implications, such as understanding disorders of social behaviour in humans. In turn, research using non-human animals in the genetics, neuroscience and physiology of these disorders can inform our understanding of sociability. For the first time, this review brings together insights across these areas of research, across animal taxa from primates to invertebrates, and across studies from both the laboratory and field. We show there are mixed results in whether and how sociability correlates with other major behavioural traits. Whether and in what direction these correlations are observed may differ with individual traits such as sex and body condition, as well as ecological conditions. A large body of evidence provides the proximate mechanisms for why individuals vary in their social tendency. Evidence exists for the importance of genes and their expression, chemical messengers, social interactions and the environment in determining an individual's social tendency, although the specifics vary with species and other variables such as age, and interactions amongst these proximate factors. Less well understood is how evolution can maintain consistent variation in social tendencies within populations. Shifts in the benefits and costs of social tendencies over time, as well as the social niche hypothesis, are currently the best supported theories for how variation in sociability can evolve and be maintained in populations. Increased exposure to infectious diseases is the best documented cost of a greater social tendency, and benefits include greater access to socially transmitted information. We also highlight that direct evidence for more sociable individuals being safer from predators is lacking. Variation in sociability is likely to have broad ecological consequences, but beyond its importance in the spread of infectious diseases, direct evidence is limited to a few examples related to dispersal and invasive species biology. Overall, our knowledge of inter-individual variation in sociability is highly skewed towards the proximate mechanisms. Our review also demonstrates, however, that considering research from social networks and collective behaviour greatly enriches our understanding of sociability, highlighting the need for greater integration of these approaches into future animal personality research to address the imbalance in our understanding of sociability as a personality trait.
Collapse
Affiliation(s)
- Lizzy A Gartland
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, U.K
| | - Josh A Firth
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, OX1 3SZ, U.K
| | - Kate L Laskowski
- Department of Evolution and Ecology, University of California Davis, Davis, CA, 95616, U.S.A
| | - Raphael Jeanson
- Centre de Recherches sur la Cognition Animale (UMR5169), Centre de Biologie Intégrative, CNRS, UPS, Université de Toulouse, 31062, Toulouse, France
| | - Christos C Ioannou
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, U.K
| |
Collapse
|
11
|
Dragić N, Keynan O, Ilany A. Multilayer social networks reveal the social complexity of a cooperatively breeding bird. iScience 2021; 24:103336. [PMID: 34820604 PMCID: PMC8602051 DOI: 10.1016/j.isci.2021.103336] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/12/2021] [Accepted: 10/21/2021] [Indexed: 01/12/2023] Open
Abstract
The social environment of individuals affects various evolutionary and ecological processes. Their social environment is affected by individual and environmental traits. We assessed the effects of these traits on nodes and dyads in six layers of networks of Arabian babblers, representing different interaction types. Additionally, we tested how traits affect social niches in the multilayer networks using the t-distributed stochastic neighbor embedding (tSNE) dimensionality reduction algorithm. The effect of group size and season was similar across network layers, but individual traits had different effects on different layers. Additionally, we documented assortativity with respect to individual traits in the dominance display and allopreening networks. The joint analysis of all six layers revealed that most traits did not affect individuals' social niches. However, older individuals occupied fewer social niches than younger ones. Our results suggest that multilayer social networks are an important tool for understanding the complex social systems of cooperative breeders and intragroup interactions.
Collapse
Affiliation(s)
- Nikola Dragić
- Faculty of Life Sciences, Bar Ilan University, Ramat Gan 5290002, Israel
| | - Oded Keynan
- Dead Sea and Arava Science Center, Central Arava Branch, Hatzeva 86815, Israel
| | - Amiyaal Ilany
- Faculty of Life Sciences, Bar Ilan University, Ramat Gan 5290002, Israel
| |
Collapse
|
12
|
Recognising the key role of individual recognition in social networks. Trends Ecol Evol 2021; 36:1024-1035. [PMID: 34256987 DOI: 10.1016/j.tree.2021.06.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 11/21/2022]
Abstract
Many aspects of sociality rely on individuals recognising one another. Understanding how, when, and if individuals recognise others can yield insights into the foundations of social relationships and behaviours. Through synthesising individual recognition research in different sensory and social domains, and doing so across various related social contexts, we propose that a social network perspective can help to uncover how individual recognition may vary across different settings, species, and populations. Specifically, combining individual recognition with social networks has unrecognised potential for determining the level and relative importance of individual recognition complexity. This will provide insights not only on the ecology and evolution of individual recognition itself, but also on social structure, social transmission, and social interactions such as cooperation.
Collapse
|
13
|
Fisher DN, LeGrice RJ, Painting CJ. Social selection is density dependent but makes little contribution to total selection in New Zealand giraffe weevils. Proc Biol Sci 2021; 288:20210696. [PMID: 34074126 PMCID: PMC8170205 DOI: 10.1098/rspb.2021.0696] [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: 03/23/2021] [Accepted: 05/07/2021] [Indexed: 11/12/2022] Open
Abstract
Social selection occurs when traits of interaction partners influence an individual's fitness and can alter total selection strength. However, we have little idea of what factors influence social selection's strength. Further, social selection only contributes to overall selection when there is phenotypic assortment, but simultaneous estimates of social selection and phenotypic assortment are rare. Here, we estimated social selection on body size in a wild population of New Zealand giraffe weevils (Lasiorhynchus barbicornis). We measured phenotypic assortment by body size and tested whether social selection varied with sex ratio, density and interacted with the body size of the focal individual. Social selection was limited and unaffected by sex ratio or the size of the focal individual. However, at high densities social selection was negative for both sexes, consistent with size-based competitive interactions for access to mates. Phenotypic assortment was always close to zero, indicating negative social selection at high densities will not impede the evolution of larger body sizes. Despite its predicted importance, social selection may only influence evolutionary change in specific contexts, leaving direct selection to drive evolutionary change.
Collapse
Affiliation(s)
- David N. Fisher
- School of Biological Sciences, University of Aberdeen, King's College, Aberdeen AB243FX, UK
| | - Rebecca J. LeGrice
- Te Aka Mātuatua School of Science, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand
| | - Christina J. Painting
- Te Aka Mātuatua School of Science, University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand
| |
Collapse
|
14
|
Wice EW, Saltz JB. Selection on heritable social network positions is context-dependent in Drosophila melanogaster. Nat Commun 2021; 12:3357. [PMID: 34099680 PMCID: PMC8185000 DOI: 10.1038/s41467-021-23672-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 04/26/2021] [Indexed: 02/05/2023] Open
Abstract
Social group structure is highly variable and can be important for nearly every aspect of behavior and its fitness consequences. Group structure can be modeled using social network analysis, but we know little about the evolutionary factors shaping and maintaining variation in how individuals are embedded within their networks (i.e., network position). While network position is a pervasive target of selection, it remains unclear whether network position is heritable and can respond to selection. Furthermore, it is unclear how environmental factors interact with genotypic effects on network positions, or how environmental factors shape selection on heritable network structure. Here we show multiple measures of social network position are heritable, using replicate genotypes and replicate social groups of Drosophila melanogaster flies. Our results indicate genotypic differences in network position are largely robust to changes in the environment flies experience, though some measures of network position do vary across environments. We also show selection on multiple network position metrics depends on the environmental context they are expressed in, laying the groundwork for better understanding how spatio-temporal variation in selection contributes to the evolution of variable social group structure.
Collapse
|
15
|
Quque M, Bles O, Bénard A, Héraud A, Meunier B, Criscuolo F, Deneubourg JL, Sueur C. Hierarchical networks of food exchange in the black garden ant Lasius niger. INSECT SCIENCE 2021; 28:825-838. [PMID: 32306510 DOI: 10.1111/1744-7917.12792] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/05/2020] [Accepted: 04/07/2020] [Indexed: 06/11/2023]
Abstract
In most eusocial insects, the division of labor results in relatively few individuals foraging for the entire colony. Thus, the survival of the colony depends on its efficiency in meeting the nutritional needs of all its members. Here, we characterize the network topology of a eusocial insect to understand the role and centrality of each caste in this network during the process of food dissemination. We constructed trophallaxis networks from 34 food-exchange experiments in black garden ants (Lasius niger). We tested the influence of brood and colony size on (i) global indices at the network level (i.e., efficiency, resilience, centralization, and modularity) and (ii) individual values (i.e., degree, strength, betweenness, and the clustering coefficient). Network resilience, the ratio between global efficiency and centralization, was stable with colony size but increased in the presence of broods, presumably in response to the nutritional needs of larvae. Individual metrics highlighted the major role of foragers in food dissemination. In addition, a hierarchical clustering analysis suggested that some domestics acted as intermediaries between foragers and other domestics. Networks appeared to be hierarchical rather than random or centralized exclusively around foragers. Finally, our results suggested that networks emerging from social insect interactions can improve group performance and thus colony fitness.
Collapse
Affiliation(s)
- Martin Quque
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
| | - Olivier Bles
- Centre for Nonlinear Phenomena and Complex Systems (Cenoli)-CP 231, Université libre de Bruxelles (ULB), Bruxelles, Belgium
| | | | - Amélie Héraud
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
| | | | | | - Jean-Louis Deneubourg
- Centre for Nonlinear Phenomena and Complex Systems (Cenoli)-CP 231, Université libre de Bruxelles (ULB), Bruxelles, Belgium
| | - Cédric Sueur
- CNRS, IPHC, Université de Strasbourg, Strasbourg, UMR718, France
- Institut Universitaire de France, Paris, France
| |
Collapse
|
16
|
Vander Wal E. Social environment: Trait, context and agent for selection in a meta-population. J Anim Ecol 2021; 90:4-7. [PMID: 33427327 DOI: 10.1111/1365-2656.13400] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 11/27/2020] [Indexed: 11/28/2022]
Abstract
In Focus: Formica, V., Donald, H., Marti, H., Irgebay, Z., Brodie III, E. Social network position experiences more variable selection than weaponry in wild subpopulations of forked fungus beetles. Journal of Animal Ecology, 90, 168-182, https://doi.org/10.1111/1365-2656.13322. That social network traits can exhibit consistent-individual differences among individuals and confer a fitness benefit or cost is increasingly well-established. However, how selection-natural or sexual-affects those social traits and at what scale remains an open question. In this Special Feature, Formica and colleagues employ a meta-population of forked fungus beetles to test and contrast whether sexual selection on social network traits contrasted to morphological traits occurs at the local (soft) or global (hard) scales. The authors demonstrate that morphological traits are largely under hard directional positive selection, whereas social traits are under soft and variable selection. The findings are compelling and raise interesting discussion of multi-level selection and the evolution of social traits in a meta-population.
Collapse
Affiliation(s)
- Eric Vander Wal
- Biology, Memorial University of Newfoundland, St. John's, NL, Canada
| |
Collapse
|
17
|
Canario L, Bijma P, David I, Camerlink I, Martin A, Rauw WM, Flatres-Grall L, van der Zande L, Turner SP, Larzul C, Rydhmer L. Prospects for the Analysis and Reduction of Damaging Behaviour in Group-Housed Livestock, With Application to Pig Breeding. Front Genet 2020; 11:611073. [PMID: 33424934 PMCID: PMC7786278 DOI: 10.3389/fgene.2020.611073] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 11/16/2020] [Indexed: 12/16/2022] Open
Abstract
Innovations in the breeding and management of pigs are needed to improve the performance and welfare of animals raised in social groups, and in particular to minimise biting and damage to group mates. Depending on the context, social interactions between pigs can be frequent or infrequent, aggressive, or non-aggressive. Injuries or emotional distress may follow. The behaviours leading to damage to conspecifics include progeny savaging, tail, ear or vulva biting, and excessive aggression. In combination with changes in husbandry practices designed to improve living conditions, refined methods of genetic selection may be a solution reducing these behaviours. Knowledge gaps relating to lack of data and limits in statistical analyses have been identified. The originality of this paper lies in its proposal of several statistical methods for common use in analysing and predicting unwanted behaviours, and for genetic use in the breeding context. We focus on models of interaction reflecting the identity and behaviour of group mates which can be applied directly to damaging traits, social network analysis to define new and more integrative traits, and capture-recapture analysis to replace missing data by estimating the probability of behaviours. We provide the rationale for each method and suggest they should be combined for a more accurate estimation of the variation underlying damaging behaviours.
Collapse
Affiliation(s)
- Laurianne Canario
- GenPhySE, INRAE French National Institute for Agriculture, Food, and Environment, ENVT, Université de Toulouse, Toulouse, France
| | - Piter Bijma
- Animal Breeding and Genomics, Wageningen University & Research, Wageningen, Netherlands
| | - Ingrid David
- GenPhySE, INRAE French National Institute for Agriculture, Food, and Environment, ENVT, Université de Toulouse, Toulouse, France
| | - Irene Camerlink
- Institute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Warsaw, Poland
| | - Alexandre Martin
- GenPhySE, INRAE French National Institute for Agriculture, Food, and Environment, ENVT, Université de Toulouse, Toulouse, France
| | - Wendy Mercedes Rauw
- Department of Animal Breeding, National Institute for Agricultural and Food Research and Technology, Madrid, Spain
| | | | - Lisette van der Zande
- Adaptation Physiology, Wageningen University & Research, Wageningen, Netherlands
- Topigs Norsvin Research Center B.V., Beuningen, Netherlands
| | - Simon P. Turner
- Scotland's Rural College, Kings Buildings, Edinburgh, United Kingdom
| | - Catherine Larzul
- GenPhySE, INRAE French National Institute for Agriculture, Food, and Environment, ENVT, Université de Toulouse, Toulouse, France
| | - Lotta Rydhmer
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| |
Collapse
|
18
|
Silk MJ, McDonald RA, Delahay RJ, Padfield D, Hodgson DJ. CMR
net
: An
r
package to derive networks of social interactions and movement from mark–recapture data. Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13502] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Matthew J. Silk
- Centre for Ecology and Conservation University of Exeter Penryn Campus Cornwall UK
- Environment and Sustainability Institute University of Exeter Penryn Campus Cornwall UK
| | - Robbie A. McDonald
- Environment and Sustainability Institute University of Exeter Penryn Campus Cornwall UK
| | | | - Daniel Padfield
- Environment and Sustainability Institute University of Exeter Penryn Campus Cornwall UK
| | - David J. Hodgson
- Centre for Ecology and Conservation University of Exeter Penryn Campus Cornwall UK
| |
Collapse
|
19
|
Plaza M, Burke T, Cox T, Flynn‐Carroll A, Girndt A, Halford G, Martin DA, Sanchez‐Fortún M, Sánchez‐Tójar A, Somerville J, Schroeder J. Repeatable social network node‐based metrics across populations and contexts in a passerine. J Evol Biol 2020; 33:1634-1642. [DOI: 10.1111/jeb.13703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 08/29/2020] [Accepted: 09/05/2020] [Indexed: 01/30/2023]
Affiliation(s)
- Mireia Plaza
- Department of Life Sciences Imperial College London Ascot UK
- Department of Evolutionary Ecology National Museum of Natural Sciences (CSIC) Madrid Spain
| | - Terry Burke
- Department of Animal and Plant Sciences University of Sheffield Sheffield UK
| | - Tara Cox
- Department of Life Sciences Imperial College London Ascot UK
| | | | - Antje Girndt
- Max Planck Institute for Ornithology Seewiesen Germany
- International Max‐Planck Research School (IMPRS) for Organismal Biology University of Konstanz Konstanz Germany
| | | | | | - Moises Sanchez‐Fortún
- Department of Zoology and Anthropology Faculty of Biology University of Barcelona Barcelona Spain
| | - Alfredo Sánchez‐Tójar
- Department of Life Sciences Imperial College London Ascot UK
- International Max‐Planck Research School (IMPRS) for Organismal Biology University of Konstanz Konstanz Germany
- Department of Evolutionary Biology Bielefeld University Bielefeld Germany
| | | | - Julia Schroeder
- Department of Life Sciences Imperial College London Ascot UK
| |
Collapse
|
20
|
Cantor M, Maldonado‐Chaparro AA, Beck KB, Brandl HB, Carter GG, He P, Hillemann F, Klarevas‐Irby JA, Ogino M, Papageorgiou D, Prox L, Farine DR. The importance of individual‐to‐society feedbacks in animal ecology and evolution. J Anim Ecol 2020; 90:27-44. [DOI: 10.1111/1365-2656.13336] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 08/31/2020] [Indexed: 12/31/2022]
Affiliation(s)
- Maurício Cantor
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
- Departamento de Ecologia e Zoologia Universidade Federal de Santa Catarina Florianópolis Brazil
- Centro de Estudos do Mar Universidade Federal do Paraná Pontal do Paraná Brazil
| | - Adriana A. Maldonado‐Chaparro
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Kristina B. Beck
- Department of Behavioural Ecology and Evolutionary Genetics Max Planck Institute for Ornithology Seewiesen Germany
| | - Hanja B. Brandl
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Gerald G. Carter
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Evolution, Ecology and Organismal Biology The Ohio State University Columbus OH USA
| | - Peng He
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Friederike Hillemann
- Edward Grey Institute of Field Ornithology Department of Zoology University of Oxford Oxford UK
| | - James A. Klarevas‐Irby
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
- Department of Migration Max Planck Institute of Animal Behavior Konstanz Germany
| | - Mina Ogino
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Danai Papageorgiou
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| | - Lea Prox
- Department of Biology University of Konstanz Konstanz Germany
- Department of Sociobiology/Anthropology Johann‐Friedrich‐Blumenbach Institute of Zoology & Anthropology University of Göttingen Göttingen Germany
- Behavioral Ecology & Sociobiology Unit German Primate Center Göttingen Germany
| | - Damien R. Farine
- Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
- Department of Biology University of Konstanz Konstanz Germany
- Centre for the Advanced Study of Collective Behaviour University of Konstanz Konstanz Germany
| |
Collapse
|
21
|
McDonald GC, Engel N, Ratão SS, Székely T, Kosztolányi A. The impact of social structure on breeding strategies in an island bird. Sci Rep 2020; 10:13872. [PMID: 32807811 PMCID: PMC7431420 DOI: 10.1038/s41598-020-70595-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 07/23/2020] [Indexed: 11/08/2022] Open
Abstract
The social environment is a key factor determining fitness by influencing multiple stages of reproduction, including pair formation, mating behavior and parenting. However, the influence of social structure across different aspects of breeding is rarely examined simultaneously in wild populations. We therefore lack a consolidation of the mechanisms by which sociality impacts reproduction. Here we investigate the implications of the social environment before and during breeding on multiple stages of reproduction in an island population of the ground nesting shorebird, the Kentish plover (Charadrius alexandrinus). We utilise information on mating decisions, nest locations and nesting success across multiple years in combination with social network analysis. Sociality before breeding was connected with patterns of pair formation. In addition, site fidelity and personal breeding experience was associated with the spatial organisation of breeding pairs. Our results provide evidence that, while differential social interactions at localised scales influence patterns of reproductive pairing, site fidelity and personal breeding experience influence the structure of populations at the landscape scale. Our results underline the tight link between the social structure of populations and patterns of mating, while revealing that the relative influence of sociality, breeding experience and local ecology are dynamic across different facets of reproduction.
Collapse
Affiliation(s)
- Grant C McDonald
- Department of Ecology, University of Veterinary Medicine Budapest, Budapest, Hungary.
- Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, UK.
| | - Noémie Engel
- Department of Biology and Biochemistry, Milner Centre for Evolution, University of Bath, Bath, UK
| | - Sara S Ratão
- FMB, Fundação Maio Biodiversidade, Cidade do Porto Inglês, Maio, 6110, Cabo Verde
| | - Tamás Székely
- Department of Biology and Biochemistry, Milner Centre for Evolution, University of Bath, Bath, UK
- FMB, Fundação Maio Biodiversidade, Cidade do Porto Inglês, Maio, 6110, Cabo Verde
- Department of Evolutionary Zoology and Human Biology, University of Debrecen, Debrecen, Hungary
| | - András Kosztolányi
- Department of Ecology, University of Veterinary Medicine Budapest, Budapest, Hungary
| |
Collapse
|
22
|
Puga‐Gonzalez I, Sueur C, Sosa S. Null models for animal social network analysis and data collected via focal sampling: Pre‐network or node network permutation? Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13400] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Ivan Puga‐Gonzalez
- Institute for Global Development and Planning University of Agder Kristiansand Norway
- Center for Modeling Social Systems at NORCE Kristiansand Norway
| | - Cédric Sueur
- Université de StrasbourgCNRSIPHCUMR 7178 Strasbourg France
- Institut Universitaire de France Paris France
| | - Sebastian Sosa
- Université de StrasbourgCNRSIPHCUMR 7178 Strasbourg France
| |
Collapse
|
23
|
Fisher DN, Pruitt JN. Insights from the study of complex systems for the ecology and evolution of animal populations. Curr Zool 2020; 66:1-14. [PMID: 32467699 PMCID: PMC7245006 DOI: 10.1093/cz/zoz016] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Accepted: 04/02/2019] [Indexed: 12/01/2022] Open
Abstract
Populations of animals comprise many individuals, interacting in multiple contexts, and displaying heterogeneous behaviors. The interactions among individuals can often create population dynamics that are fundamentally deterministic yet display unpredictable dynamics. Animal populations can, therefore, be thought of as complex systems. Complex systems display properties such as nonlinearity and uncertainty and show emergent properties that cannot be explained by a simple sum of the interacting components. Any system where entities compete, cooperate, or interfere with one another may possess such qualities, making animal populations similar on many levels to complex systems. Some fields are already embracing elements of complexity to help understand the dynamics of animal populations, but a wider application of complexity science in ecology and evolution has not occurred. We review here how approaches from complexity science could be applied to the study of the interactions and behavior of individuals within animal populations and highlight how this way of thinking can enhance our understanding of population dynamics in animals. We focus on 8 key characteristics of complex systems: hierarchy, heterogeneity, self-organization, openness, adaptation, memory, nonlinearity, and uncertainty. For each topic we discuss how concepts from complexity theory are applicable in animal populations and emphasize the unique insights they provide. We finish by outlining outstanding questions or predictions to be evaluated using behavioral and ecological data. Our goal throughout this article is to familiarize animal ecologists with the basics of each of these concepts and highlight the new perspectives that they could bring to variety of subfields.
Collapse
Affiliation(s)
- David N Fisher
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jonathan N Pruitt
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
24
|
Jiang L, Xu J, Sang M, Zhang Y, Ye M, Zhang H, Wu B, Zhu Y, Xu P, Tai R, Zhao Z, Jiang Y, Dong C, Sun L, Griffin CH, Gragnoli C, Wu R. A Drive to Driven Model of Mapping Intraspecific Interaction Networks. iScience 2019; 22:109-122. [PMID: 31765992 PMCID: PMC6883333 DOI: 10.1016/j.isci.2019.11.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 09/23/2019] [Accepted: 11/01/2019] [Indexed: 12/14/2022] Open
Abstract
Community ecology theory suggests that an individual's phenotype is determined by the phenotypes of its coexisting members to the extent at which this process can shape community evolution. Here, we develop a mapping theory to identify interaction quantitative trait loci (QTL) governing inter-individual dependence. We mathematically formulate the decision-making strategy of interacting individuals. We integrate these mathematical descriptors into a statistical procedure, enabling the joint characterization of how QTL drive the strengths of ecological interactions and how the genetic architecture of QTL is driven by ecological networks. In three fish full-sib mapping experiments, we identify a set of genome-wide QTL that control a range of societal behaviors, including mutualism, altruism, aggression, and antagonism, and find that these intraspecific interactions increase the genetic variation of body mass by about 50%. We showcase how the interaction QTL can be used as editors to reconstruct and engineer new social networks for ecological communities. We develop a new theory for complex-trait mapping by integrating behavioral ecology This theory can characterize how QTL drive cooperation or competition in populations It can also illustrate how the activation of QTL is driven by ecological interactions The new theory leverages interdisciplinary studies of genetics, ecology, and evolution
Collapse
Affiliation(s)
- Libo Jiang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Jian Xu
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Mengmeng Sang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Yan Zhang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Meixia Ye
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Hanyuan Zhang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Biyin Wu
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Youxiu Zhu
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Peng Xu
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China; Fujian Collaborative Innovation Center for Exploitation and Utilization of Marine Biological Resources, Xiamen University, Xiamen, Fujian 361102, China
| | - Ruyu Tai
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Zixia Zhao
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Yanliang Jiang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China
| | - Chuanju Dong
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture, CAFS Key Laboratory of Aquatic Genomics and Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing 100141, China; College of Fishery, Henan Normal University, Xinxiang, Henan 453007, China
| | - Lidan Sun
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Christopher H Griffin
- Applied Research Laboratory, The Pennsylvania State University, University Park, PA 16802, USA
| | - Claudia Gragnoli
- Division of Endocrinology, Diabetes, and Metabolic Disease, Translational Medicine, Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19106, USA; Molecular Biology Laboratory, Bios Biotech Multi Diagnostic Health Center, Rome 00197, Italy
| | - Rongling Wu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China; Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA 17033, USA.
| |
Collapse
|
25
|
McDonald GC, Spurgin LG, Fairfield EA, Richardson DS, Pizzari T. Differential female sociality is linked with the fine-scale structure of sexual interactions in replicate groups of red junglefowl, Gallus gallus. Proc Biol Sci 2019; 286:20191734. [PMID: 31615354 DOI: 10.1098/rspb.2019.1734] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Recent work indicates that social structure has extensive implications for patterns of sexual selection and sexual conflict. However, little is known about the individual variation in social behaviours linking social structure to sexual interactions. Here, we use network analysis of replicate polygynandrous groups of red junglefowl (Gallus gallus) to show that the association between social structure and sexual interactions is underpinned by differential female sociality. Sexual dynamics are largely explained by a core group of highly social, younger females, which are more fecund and more polyandrous, and thus associated with more intense postcopulatory competition for males. By contrast, less fecund females from older cohorts, which tend to be socially dominant, avoid male sexual attention by clustering together and perching on branches, and preferentially reproduce with dominant males by more exclusively associating and mating with them. Collectively, these results indicate that individual females occupy subtly different social niches and demonstrate that female sociality can be an important factor underpinning the landscape of intrasexual competition and the emergent structure of animal societies.
Collapse
Affiliation(s)
- Grant C McDonald
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK.,Department of Ecology, University of Veterinary Medicine Budapest, Budapest 1077, Hungary
| | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | | | | | - Tommaso Pizzari
- Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK
| |
Collapse
|
26
|
Fisher DN, Wilson AJ, Boutin S, Dantzer B, Lane JE, Coltman DW, Gorrell JC, McAdam AG. Social effects of territorial neighbours on the timing of spring breeding in North American red squirrels. J Evol Biol 2019; 32:559-571. [DOI: 10.1111/jeb.13437] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 02/25/2019] [Accepted: 03/01/2019] [Indexed: 02/06/2023]
Affiliation(s)
- David N. Fisher
- Department for Integrative Biology University of Guelph Guelph Ontario Canada
- Department of Psychology, Neuroscience & Behaviour McMaster University Hamilton Ontario Canada
| | - Alastair J. Wilson
- Centre for Ecology and Conservation University of Exeter Penryn Cornwall UK
| | - Stan Boutin
- Department of Biological Sciences University of Alberta Edmonton Alberta Canada
| | - Ben Dantzer
- Department of Psychology University of Michigan Ann Arbour Michigan
- Department of Ecology and Evolutionary Biology University of Michigan Ann Arbour Michigan
| | - Jeffrey E. Lane
- Department of Biology University of Saskatchewan Saskatoon Saskatchewan Canada
| | - David W. Coltman
- Department of Biological Sciences University of Alberta Edmonton Alberta Canada
| | - Jamie C. Gorrell
- Biology Department University of Vancouver Island Nanaimo British Columbia Canada
| | - Andrew G. McAdam
- Department for Integrative Biology University of Guelph Guelph Ontario Canada
| |
Collapse
|
27
|
Webber QM, Vander Wal E. Trends and perspectives on the use of animal social network analysis in behavioural ecology: a bibliometric approach. Anim Behav 2019. [DOI: 10.1016/j.anbehav.2019.01.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
|
28
|
Dodgen RE, Iyengar VK. Weaponry, size, and sex ratio affect spatial distribution within small and large groups of the maritime earwig (
Anisolabis maritima
). Ethology 2019. [DOI: 10.1111/eth.12855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Rose E. Dodgen
- Biological Sciences Department California Polytechnic State University San Luis Obispo San Luis Obispo California
| | | |
Collapse
|
29
|
Dakin R, Ryder TB. Dynamic network partnerships and social contagion drive cooperation. Proc Biol Sci 2018; 285:20181973. [PMID: 30963888 PMCID: PMC6304062 DOI: 10.1098/rspb.2018.1973] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Accepted: 11/23/2018] [Indexed: 12/23/2022] Open
Abstract
Both reciprocity and positive assortment (like with like) are predicted to promote the evolution of cooperation, yet how partners influence each other's behaviour within dynamic networks is not well understood. One way to test this question is to partition phenotypic variation into differences among individuals in the expression of cooperative behaviour (the 'direct effect'), and plasticity within individuals in response to the social environment (the 'indirect effect'). A positive correlation between these two sources of variation, such that more cooperative individuals elicit others to cooperate, is predicted to facilitate social contagion and selection on cooperative behaviour. Testing this hypothesis is challenging, however, because it requires repeated measures of behaviour across a dynamic social landscape. Here, we use an automated data-logging system to quantify the behaviour of 179 wire-tailed manakins, birds that form cooperative male-male coalitions, and we use multiple-membership models to test the hypothesis that dynamic network partnerships shape within-individual variation in cooperative behaviour. Our results show strong positive correlations between a bird's own sociality and his estimated effect on his partners, consistent with the hypothesis that cooperation begets cooperation. These findings support the hypothesis that social contagion can facilitate selection for cooperative behaviour within social networks.
Collapse
|
30
|
Sueur C, Romano V, Sosa S, Puga-Gonzalez I. Mechanisms of network evolution: a focus on socioecological factors, intermediary mechanisms, and selection pressures. Primates 2018; 60:167-181. [PMID: 30206778 DOI: 10.1007/s10329-018-0682-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 08/19/2018] [Indexed: 01/22/2023]
Affiliation(s)
- Cédric Sueur
- Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
| | - Valéria Romano
- Kyoto University Primate Research Institute, Inuyama, Japan
| | - Sebastian Sosa
- Primates and Evolution Anthropology Laboratory, Anthropology Department, Sun Yat-sen University, Guangzhou, China
| | - Ivan Puga-Gonzalez
- Institute for Religion, Philosophy and History, University of Agder, Kristiansand, Norway
| |
Collapse
|
31
|
Montiglio P, McGlothlin JW, Farine DR. Social structure modulates the evolutionary consequences of social plasticity: A social network perspective on interacting phenotypes. Ecol Evol 2018; 8:1451-1464. [PMID: 29435224 PMCID: PMC5792542 DOI: 10.1002/ece3.3753] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 11/27/2017] [Accepted: 11/28/2017] [Indexed: 01/22/2023] Open
Abstract
Organisms express phenotypic plasticity during social interactions. Interacting phenotype theory has explored the consequences of social plasticity for evolution, but it is unclear how this theory applies to complex social structures. We adapt interacting phenotype models to general social structures to explore how the number of social connections between individuals and preference for phenotypically similar social partners affect phenotypic variation and evolution. We derive an analytical model that ignores phenotypic feedback and use simulations to test the predictions of this model. We find that adapting previous models to more general social structures does not alter their general conclusions but generates insights into the effect of social plasticity and social structure on the maintenance of phenotypic variation and evolution. Contribution of indirect genetic effects to phenotypic variance is highest when interactions occur at intermediate densities and decrease at higher densities, when individuals approach interacting with all group members, homogenizing the social environment across individuals. However, evolutionary response to selection tends to increase at greater network densities as the effects of an individual's genes are amplified through increasing effects on other group members. Preferential associations among similar individuals (homophily) increase both phenotypic variance within groups and evolutionary response to selection. Our results represent a first step in relating social network structure to the expression of social plasticity and evolutionary responses to selection.
Collapse
Affiliation(s)
| | | | - Damien R. Farine
- Department of Collective BehaviourMax Planck Institute for OrnithologyKonstanzGermany
- Department of BiologyChair of Biodiversity and Collective BehaviourUniversity of KonstanzKonstanzGermany
- Department of ZoologyEdward Grey InstituteUniversity of OxfordOxfordUK
| |
Collapse
|