Nicholas Priest — the University of Bath's research portal

Personal profile

Research interests

My research focuses on how disease constrains the evolutionary process. This has primarily involved demographic studies of behaviour, meiosis and life history in insects. We have found that fungus-infected insects adaptively alter their thermal preferences, shift their diet, and exhibit higher meiotic recombination. These phenomena provide basic insights into evolution, health and healthy ageing. But, they are also important for insect control and managing the spread of human diseases by insects. Our current research is focused on applying what we have learned to help people, especially with respect to fertility, alternative medicine and Chagas Disease.

Research interests

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Projects 2009 2013

2 Finished

Modelling Systems for Managing Bee Disease: The Epidermiology of European Foul Brood

Feil, E. & Priest, N.

1/11/10 → 31/10/13

Project: Research council

European foul brood

bee diseases

apiaries

epidemiology

pollinating insects

Development of Genomic Genotyping Resources

Priest, N. & Dorus, S.

1/03/09 → 31/03/11

Project: Research council

Research Output 2001 2018

19 Article
6 Doctoral Thesis
1 Paper
1 Review article

Silicon Valley’s quest for immortality – and its worrying sacrifices

Horton, J. & Priest, N., 10 Dec 2018, The Conversation, 101405.

Research output: Contribution to specialist publication › Article

7 Citations

Cold-seeking behaviour mitigates reproductive losses from fungal infection in Drosophila: Temperature preferences of infected fruit flies

Hunt, V., Zhong, W., Mcclure, C., Mlynski, D., Duxbury, E., Charnley, A. & Priest, N., 1 Jan 2016, In : Journal of Animal Ecology. 85, 1, p. 178-186 9 p.

Research output: Contribution to journal › Article

Open Access

File

reproductive behavior

fruit flies

Drosophila

fruit

life history

7 Citations

The evolution of sex-specific dominance in response to sexually antagonistic selection

Spencer, H. G. & Priest, N. K., May 2016, In : The American Naturalist. 187, 5, p. 658-666 9 p., 10.1086/685827.

Research output: Contribution to journal › Article

File

Genes

Mathematical models

Genetics

A SNP-based method for determining the origin of MRSA isolates

Sciberras, J., 2015, 242 p.

Research output: Thesis › Doctoral Thesis

Open Access

File

Methicillin-Resistant Staphylococcus aureus

Single Nucleotide Polymorphism

Genome

Epidemiology

Delivery of Health Care

Evolutionary Innovations and Dynamics in Wagner's Model of Genetic Regulatory Networks

Wang, Y., Dec 2015, (Unpublished) 174 p.

Research output: Thesis › Doctoral Thesis

File

Genetic Models

Genetic Recombination

Mutation

Gene Regulatory Networks

Genes