Skip to content
Natural Environment Research Council
Grants on the Web - Return to homepage Logo

Details of Award

NERC Reference : NE/Y000234/1

Divergence and parallel evolution of boldness in guppies

Grant Award

Principal Investigator:
Professor AJ Wilson, University of Exeter, Biosciences
Co-Investigator:
Dr B Fraser, University of Exeter, Biosciences
Co-Investigator:
Professor E Postma, University of Exeter, Biosciences
Science Area:
Freshwater
Overall Classification:
Panel D
ENRIs:
Biodiversity
Environmental Risks and Hazards
Global Change
Science Topics:
Behavioural Ecology
Behavioural modelling
Defensive strategies
Evolutionary biology
Foraging behaviour
Gene flow
Genetic diversity
Phenotypic plasticity
Predation
Quantitative genetics
Selection processes
Evolutionary genetics
Gene flow
Genetic drift
Genetic variation
Molecular ecology
Natural variation
Population genetics
Selection
Statistical genetics
Evolution & populations
Adaptive processes
Evolutionary ecology
Gene flow
Genetic diversity
Molecular genetics
Natural selection
Phenotypic plasticity
Population structure
Selection pressure
Population Genetics/Evolution
Genomics
Genetic mapping/ markers
Genome sequencing
Abstract:
The evolutionary origin of variation in animal behaviour continues to both fascinate and frustrate biologists. Despite decades of research, we still lack a comprehensive understanding of the mechanisms that sometimes promote variation among individuals, populations and species, but can also limit diversity and constrain divergence. Here we propose a study of guppies, a small freshwater fish from Trinidad, to investigate how, when and why the structure of behavioural variation changes across populations. Our study is 'comparative' - we will investigate patterns of behavioural variation arising from evolutionary divergence among multiple wild populations of guppies. It will also be 'multi-level' - we seek to understand patterns of similarity and difference among populations, but because natural selection happens among individuals within populations, to achieve this requires studying variation among individuals and genotypes. How two populations that have become separated evolve ('microevolution') and diverge ('macroevolution') does not only depend on natural selection, but also on the way in which genetic factors contribute to behavioural differences among individuals. Moreover, gene frequencies change over time even in the absence of natural selection - so just how much microevolutionary change and macroevolutionary divergence is the result of 'neutral' evolution? We will focus on 'boldness', an aspect of behaviour that can be broadly understood as describing an individual's response to risky conditions in the environment. The set of populations we will study have evolved in environments differing in predation regime, which is thought to be an important source of selection on boldness. We will combine large scale behavioural data collection in the laboratory, with experiments to manipulate perceived predation risk, and both statistical genetic and genomic methods. Comparing the structure of behavioural variation across populations of known evolutionary relationships to each other (or 'phylogeny') will allow us to robustly test hypotheses for the evolutionary factors maintaining shy-bold variation within populations, and driving differences among populations. By combining uniquely comprehensive genomic and behavioural data, we will test the extent to which differences in behaviour between populations arise from selection versus 'neutral' evolution of the underlying genetics that is expected even if behaviours are not under selection. They will also let us probe the genetic 'building blocks' of behavioural variation, providing valuable new insights into the links between genotype and behaviour.
Period of Award:
30 Jul 2024 - 29 Jan 2028
Value:
£730,943
Authorised funds only
NERC Reference:
NE/Y000234/1
Grant Stage:
Awaiting Event/Action
Scheme:
Standard Grant FEC
Grant Status:
Active

This grant award has a total value of £730,943  

top of page


FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDI - EquipmentDI - StaffDA - Estate CostsDI - T&SDA - Other Directly Allocated
£21,497£163,585£69,663£43,200£253,441£56,545£11,510£111,502

If you need further help, please read the user guide.