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Evolution and Adaption in Sensory Perception

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Project Description

How does sensory perception evolve and adapt? How do sex differences in nervous systems evolve? Using bulk and single cell RNA-seq datasets, along with experimental approaches, our lab has identified extensive gene expression differences in the sensory nervous systems of closely related Drosophila species. We have found that many of these differences also evolve remarkably quick between sexes. We want to identify the regulatory changes that generate these species and sex differences found in the sensory neurons and to understand the behavioural impacts they have. This project will address these questions through the:

• The generation and analysis of “multiomic” data sets for sensory neurons and brains within an evolutionary framework
• Computation and statistical studies of the molecular evolution of regulatory regions
• Comparative behavioural studies
• Generation of transgenic tools (using CRISPR) to study sex differences across species

Due to the cross-disciplinary nature of the research and the lab, there is a range of opportunities for shaping the project depending on the student’s particular interests and strengths (i.e. comparative genomics, neurobiology, generation of transgenic tools for new species). Throughout the project, the student will be encouraged to develop their own ideas and hypotheses.

Research themes
Project Specific Training

A significant portion of the computational and evolutionary genetic training will take through one-one training within my lab through 1:1 meetings and through interaction with lab members. Additionally, the QMUL's Biology Department is particularly strong in evolutionary genetics/genomics and additional training will be gained through interaction through other students and postdocs as well as through discussions and meetings with relevant faculty members.

Potential Career Trajectory

The skills obtained from this project would be relevant for those interested in pursuing academic careers as well as careers that involved the analysis of large datasets, advanced statistical analyses and data visualization, and programming. Examples of non-academic positions include genomic and pharma companies, consulting firms, and NGOs in biology/genetics.

Project supervisor/s
Roman Arguello
Biology
QMUL
r.arguello@qmul.ac.uk
Max Reuter
Genetics, Evolution and Environment
UCL
m.reuter@ucl.ac.uk
Supervision balance
70:30