Estimation of non-additive genetic variance for complex traits using genome-wide single nucleotide polymorphyisms and sequence data. Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
The genetic architecture and evolution of quantitative traits. Most important traits are controlled by many genes and by the environment, however there is little knowledge of how many genes are involved in these complex traits and what their effects are. This project will describe the number of genes and their effects for complex traits in humans and livestock and explain how these genes evolve.
Exposing the complex and flexible genetic basis to polygenic adaptation: integrating population and quantitative genomic approaches. Using leading-edge genomic approaches, the project will dissect the genetic basis to adaptation across an entire species range. The results will highlight the complex nature of adaptation to environmental change and will deliver new approaches to study it in natural populations.
The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have sma ....The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have small effects which makes them hard to identify. The fact that a mutation that has a small effect on a complex trait also has a larger effect on a less complex trait may help us to identify the mutation and use it in agriculture or medicine.Read moreRead less
DNA methylation in insect social evolution. This project will investigate the evolutionary relationship between DNA methylation and the advanced sociality displayed by bees, ants and wasps. The project will map DNA methylation across the social insects and test whether it has coevolved with sociality. It will also determine how a vital social cue, the queen pheromone, influences the worker methylome. Finally, it will apply quantitative genetic and methylomic methods to wild insects, revealing pa ....DNA methylation in insect social evolution. This project will investigate the evolutionary relationship between DNA methylation and the advanced sociality displayed by bees, ants and wasps. The project will map DNA methylation across the social insects and test whether it has coevolved with sociality. It will also determine how a vital social cue, the queen pheromone, influences the worker methylome. Finally, it will apply quantitative genetic and methylomic methods to wild insects, revealing patterns of selection and inheritance in epigenetic and phenotypic traits. By combining genomic and evolutionary methods, the project will advance the ongoing debate about the importance of methylation to sociality and extreme phenotypic plasticity. It will contribute to a quantum leap in our understanding of DNA methylation and sociobiology and mark the first application of quantitative genetics to wild insects.Read moreRead less
The genetic basis of singing ability. This project aims to explore the heritability of music ability, focusing on singing and the contribution of genetic and environmental influences. Research suggests that deliberate practice (more than 10,000 hours) produces skilled musicianship, with minimal investigation of genetic influences. Mapping the human genome has opened up a new scientific frontier, and this project’s findings are expected to lead to the discovery of genes for singing. This will hel ....The genetic basis of singing ability. This project aims to explore the heritability of music ability, focusing on singing and the contribution of genetic and environmental influences. Research suggests that deliberate practice (more than 10,000 hours) produces skilled musicianship, with minimal investigation of genetic influences. Mapping the human genome has opened up a new scientific frontier, and this project’s findings are expected to lead to the discovery of genes for singing. This will help design and deliver music education programmes that take individual differences into account, differentiating between heritable aspects of musicianship and those more influenced by training.Read moreRead less
The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, ....The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, and identify trait-associated genetic variants affected and not affected by XCI. The methods would then be applied to large datasets from genome-wide association studies for a large number of traits. Project outcomes may enable us to better understand the role of XCI in quantitative trait variation and gene expression in humans and animals.Read moreRead less
Reconstructing wheat evolution using ancient DNA. The domestication of wild grasses by farmers was a step change in human history; it led to the emergence of modern cereals and with them, western civilisation. This project will apply modern DNA sequencing methods to 5000-year-old cereal seeds to reconstruct the history of wheat, barley and other crops, and identify lost ancient forms and diversity.
Are good males bad females? Sexual conflict in hermaphrodites. Animal hermaphrodites (organisms that are both males and females) are extremely common and important from both an economic and ecological perspective but we know little about the evolution of this group. This project will examine how sexual conflict, so pervasive in organisms with separate sexes, affects the evolution of hermaphrodites.
Improved models to understand the genomic architecture of complex traits. This project aims to improve modelling of the genetics underlying complex traits. The project will develop and test models for using genome-wide genetic data to investigate how much heritability (genetic effect) underlies traits of interest, where it lies in the genome, and how much of it is shared across traits. The new models will be implemented in statistical algorithms in a freely-available software package. This proj ....Improved models to understand the genomic architecture of complex traits. This project aims to improve modelling of the genetics underlying complex traits. The project will develop and test models for using genome-wide genetic data to investigate how much heritability (genetic effect) underlies traits of interest, where it lies in the genome, and how much of it is shared across traits. The new models will be implemented in statistical algorithms in a freely-available software package. This project expects to increase understanding of biological mechanisms, the efficiency of genetic association analyses and the accuracy of genomic prediction, including the effects of interventions. The project will adapt human models to a wider range of organisms, in particular bacteria.Read moreRead less