Project Description
Supervisors
Dr Martin Taylor, School of Biological Sciences, University of East Anglia
Professor Tracey Chapman, School of Biological Sciences, University of East Anglia
Professor David Richardson, School of Biological Sciences, University of East Anglia
Scientific Background
Mimicry—where species share similar colour patterns to signal unpalatability—is one of the most striking examples of natural selection in action. While famous cases exist in Heliconius butterflies and poison arrow frogs, South American catfishes (Corydoras and related genera) offer a lesser-known yet equally fascinating system. In rivers and streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.”
This project will use whole-genome resequencing to tackle three key questions:
- Which regions of the genome show divergent selection across mimicry rings with different colour patterns?
- Are there signatures of selective sweeps in species within individual mimicry rings that share colour patterns?
- Do the evolutionary rates of pigmentation associated genes differ between mimetic and non-mimetic species?
Ultimately, this research will shed light on a fundamental question in evolutionary biology: Do independent mimicry rings rely on the same genes to produce colour patterns, or are there different solutions each time mimicry evolves?
Research Methodology
You will work with existing high-quality, chromosome-level genome sequences and perform additional genome resequencing of species from different mimicry rings. The project combines molecular biology with cutting-edge bioinformatics, including detection of positive selection and selective sweeps, to uncover the genetic basis of colour pattern mimicry. Most samples are available in the host laboratory, with potential opportunities for fieldwork in South America.
Training & Skills Development
This PhD will provide comprehensive training in:
- Molecular techniques: DNA extraction, PCR, and next-generation sequencing library preparation.
- Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics.
- Computational skills: UNIX/Linux, HPC computing, and programming in R and Python.
You will gain hands-on experience in both laboratory and computational approaches, equipping you with a strong skill set for a career in evolutionary genetics, genomics, or bioinformatics.
Person Specification
This project is ideal for a curious and motivated individual to explore the genetics behind one of nature’s most intriguing phenomena.
We are looking for candidates with:
- A degree in biological sciences, genetics, or related.
- A strong interest in evolutionary biology.
- An aptitude for bioinformatics; experience with R or another scripting language is advantageous.
Acceptable first degree subjects: Biological Sciences, Genetics, Zoology
Project code: TAYLORM_UEA_ARIES26