Social interactions generate complex selection patterns in virtual worlds

Author:

Santostefano Francesca12ORCID,Fraser Franco Maxime2ORCID,Montiglio Pierre-Olivier2ORCID

Affiliation:

1. Centre for Ecology and Conservation, University of Exeter , Cornwall , United Kingdom

2. Département des Sciences Biologiques, Université du Québec à Montréal , Montréal, QC , Canada

Abstract

Abstract Understanding the influence of social interactions on individual fitness is key to improving our predictions of phenotypic evolution. However, we often overlook the different components of selection regimes arising from interactions among organisms, including social, correlational, and indirect selection. This is due to the challenging sampling efforts required in natural populations to measure phenotypes expressed during interactions and individual fitness. Furthermore, behaviours are crucial in mediating social interactions, yet few studies have explicitly quantified these selection components on behavioural traits. In this study, we capitalize on an online multiplayer video game as a source of extensive data recording direct social interactions among prey, where prey collaborate to escape a predator in realistic ecological settings. We estimate natural and social selection and their contribution to total selection on behavioural traits mediating competition, cooperation, and predator–prey interactions. Behaviours of other prey in a group impact an individual’s survival, and thus are under social selection. Depending on whether selection pressures on behaviours are synergistic or conflicting, social interactions enhance or mitigate the strength of natural selection, although natural selection remains the main driving force. Indirect selection through correlations among traits also contributed to the total selection. Thus, failing to account for the effects of social interactions and indirect selection would lead to a misestimation of the total selection acting on traits. Dissecting the contribution of each component to the total selection differential allowed us to investigate the causal mechanisms relating behaviour to fitness and quantify the importance of the behaviours of conspecifics as agents of selection. Our study emphasizes that social interactions generate complex selective regimes even in a relatively simple ecological environment.

Funder

Mitacs Elevate Postdoctoral Fellowship

Behaviour Interactive and Université du Québec à Montréal

European Union’s Horizon 2020 Research and Innovation Programme

Marie Sklodowska-Curie Individual Fellowship

Publisher

Oxford University Press (OUP)

Reference80 articles.

1. Pathways to social evolution and their evolutionary feedbacks;Araya-Ajoy;Evolution,2020

2. On the measurement of natural and sexual selection: Theory;Arnold;Evolution,1984

3. The evolution of cooperation;Axelrod;Science,1981

4. Predator attack patterns influence vigilance in a virtual experiment;Beauchamp;Behavioral Ecology and Sociobiology,2020

5. Animal personality due to social niche specialisation;Bergmüller;Trends in Ecology & Evolution,2010

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3