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Proximate and ultimate consequences of social disruption in Trinidadian guppies Supervisors Main supervisor: Doctor Safi Darden (University of Exeter) Co-supervisor: Doctor Eduarda Santos (University of Exeter) Co-supervisor: Dr. Richard James (University of Bath) Project enquiries - Email: [email protected] Contact number: +44 (0) 01392 724600 Host Institution: University of Exeter Project description The topic of social disruption has captured the attention of a number of disciplines ranging from the humanities to the sciences. This is most likely driven by the fact that one of the unifying behavioural characteristics of many species is that they live in social groups or communities. Grouping behaviour can be generated by a simple positive social attraction among individuals leading to social aggregations. However, for the majority of social species sociality is underpinned by some form of social recognition and preference. Individuals will actively associate with preferred social partners and avoid others and, as such, construct a social niche that can mediate selective pressures and influence individuals and populations as a whole. In fact, evidence is quickly mounting that the social ties that individuals have with others in the population is directly related to their health, survival and reproductive success. Environmental factors that disrupt the formation and maintenance of social ties among individuals in a population are thus likely to come at a significant cost. Using the Trinidadian guppy (Poecilia reticulata), a study system where females live in highly dynamic societies and experience differing levels of social disruption depending on their exposure to sexually coercive males, this project will examine the evolution of mechanisms that reduce or avoid disruption of social ties and the consequences of these for population level processes. The project will take three approaches for a true interdisciplinary investigation: (1) It will use natural and established lines of fish to examine how populations vary in social traits as a function of levels of social disruption experienced over the course of selection. (2) It will use molecular techniques to examine biological processes underpinning variation in social traits across populations. (3) It will use mathematical modelling to understand how variation in social disruption and social traits affects population level processes. Powered by TCPDF (www.tcpdf.org)