Objective
This project will study the evolutionary ecology of senescence – how and why biological performance declines with age. Understanding senescence in nature requires us to study interactions between the environment and natural and sexual selection and how they shape patterns of ageing. I will study life-history trade-offs in both lab and natural environments exploiting an existing project on a wild cricket population that has amassed 12 years of data. My study system consists of annual generations of a few hundred individually tagged, video-monitored and genotyped individuals. This system will allow me to address evolutionary questions about senescence that are very hard to study in much longer lived vertebrates. My approach of studying senescence in both lab and field environments is timely in the face of the current state of the art showing that the fitness outcomes of genetically controlled pathways with pleiotropic early and late-life effects depend on the environment in which they are studied. I will use techniques in eco-physiology (telomere measurements), animal breeding (quantitative genetics), and evolutionary ecology (life-history trade-offs and animal behaviour) to study the extent to which (i) telomeres can be used as biomarker of ageing in insects, (ii) life-history trade-offs including behaviour underpinning senescence, and (iii) the extent to which these phenotypic correlations are also expressed as genetic correlations i.e. are they heritable? These questions are key to solving the enigma of ageing, and their answers will be important for research aimed at understanding processes that drive the demographic ageing of Europe’s society. In my past research I led an eight-year experiment testing the trade-off between reproduction and ageing and telomere shortening in a large wild bird population (papers in Ecol. Lett. 2014 & 2015 & Proc.Soc.B 2014). I am excited to switch to insects to address questions that have never been tackled in their natural context.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesgenetics
- natural sciencesbiological scienceszoologyornithology
- natural sciencesbiological sciencesecologyevolutionary ecology
- natural sciencesbiological scienceszoologyentomology
- natural sciencesbiological sciencesbiological behavioural sciencesethology
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Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
EX4 4QJ Exeter
United Kingdom