Project Description
Supervisors
Dr Wilfried Haerty, Earlham Institute – contact me
Dr Jose de Vega, Earlham Institute
Dr Sam Speak, Earlham Institute
Scientific Background:
The characterisation of genetic diversity and demographic structure of fish populations are essential in assessing and maintaining stocks sustainability. Population structure and genetic diversity of stocks have mainly been assessed using limited genetic markers. While useful for broad population estimates, these methods lack power to quantify gene flow and cannot detect structural variants. Furthermore, fish population demographics are commonly estimated from otolith growth rings, a destructive method requiring specialist expertise and sacrifice of individuals. In contrast, long-read DNA sequencing generates genome fragments tens to hundred of kilobases with high accuracy capturing both single nucleotide and structural variants. These technologies also detect chromatin methylation, enabling non-lethal and accurate age prediction from small tissue samples
Project Objectives:
With CEFAS researchers, this project aims at 1) generating pangenomes to capture genomic variation, 2) quantifying genetic diversity, 3) characterising population demographics for commercially harvested populations of two species: the Atlantic Blue Fin tuna (Thunnus thynnus) and the Atlantic herring (Clupea harengus). These species exhibit contrasting population trends in UK waters. The Atlantic Bluefin tuna has recovered from severe decline and is now classified by the IUCN as Least Concern, whereas herring stocks continue to fluctuate and face reduced catch limits. By comparing diversity, population structure, and demographic patterns in these species, the project will provide insights into their evolutionary histories and support more effective, sustainable fisheries management.
Research Methodology and Training
The student will gain highly transferable skills in bioinformatics, genomics, and population genetics, fisheries management and evidence-based policy making. Engagement with academic and industrial collaborators will provide exposure to advanced long-read sequencing methodologies and analytical approaches. The project is expected to generate at least two publications. Participation in journal clubs, lab-meetings, conferences, and collaborative research networks will support professional development and scientific independence. The student will be encouraged to explore new questions inspired by their aspirations, such as population modelling, and demographic forecasting. Leveraging our collaborative networks, the student could extend the geographical remits of their investigations.
Person Specification:
We are looking for an enthusiastic student with interests in genomics, population genomics applied to the sustainable management of fish stock. Experience in population genetics and genomics would be desirable.
Acceptable first degree subject(s): Biology, Population Genetics, Bioinformatics, Zoology, Ecology