Evolution of Evolvability?

Lead Research Organisation: University of Manchester
Department Name: Earth Atmospheric and Env Sciences

Abstract

Evolution depends upon variation generated by mutation. The rates at which mutations arise may therefore be fundamental in the ability of organisms to evolve. These rates can vary in a particular organism in response to the environment (e.g. how stressful it is; MacLean et al. 2013), that is 'Mutation Rate Plasticity'. We have identified a social component to such plasticity (Krasovec et al. 2014a), dependent on population densities (Krasovec et al. 2014b), which gives it particular evolutionary interest. It also raises questions about its role in communities, for instance biofilms (McBain 2009). Novel findings in our group suggest that such mutation rate plasticity could be very widespread, across domains of life. However, the extent, variation and nature of such mutation rate plasticity is currently unknown.

This project will address this gap in our understanding by asking how widely density dependent mutation rate plasticity occurs among different organisms, using experimental studies focused on yeast as a model system (Replansky et al. 2008), combined with appropriate mathematical modeling. Questions will include: Can we create models that predict the course of evolution based on mutation rate plasticity? We know various genes involved in mutation rate plasticity in bacteria, but how conserved are such mechanisms in eukaryotes?

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
BB/M011208/1 01/10/2015 31/03/2024
1782866 Studentship BB/M011208/1 01/10/2016 31/03/2021
 
Description I have been involved in the Community Festival at Manchester Museum for two years. It was an occasion to communicate some early findings to a non-scientific public.
First Year Of Impact 2017
Sector Culture, Heritage, Museums and Collections
Impact Types Cultural

 
Title Chemostat dataset 
Description This dataset was obtain from continuous parallel cultures (chemostat) of E.coli strain (K12 MG1655) and the estimates of mutation rates for the resistance to several antibiotics. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact This dataset allows the team to fill a gap in the understanding of mutation rate plasticity and will be used for further publications. 
 
Description Graduate Teaching Assistant 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Undergraduate students
Results and Impact Working as a GTA consisted in assisting my Supervisor during a practical session in microbiology evolution with 22 students. The main tasks were answering questions from them and helping to get through the experimental protocol.

It was a good way to improve my communication skills and confidence.
It allowed me to gain valuable teaching experience with undergraduate students.
Year(s) Of Engagement Activity 2019,2020
URL https://www.bmh.manchester.ac.uk/doctoral-academy/training/teaching-opportunities-training/