Education Background
Evolutionary Ecology Ph.D. - 2013 University of Ottawa
生态米.Sc. - 2007 University of Calgary
生物学 and Mathematics B.Sc. - 2003 McMaster University
Courses Taught
- BY420/522 - Evolution
- BY424/524 - Experimental Evolution Lab
- BY345 - The Human Genome
- BY314/514 - Bioinformatics
研究 Interests
I use a combination of microbial experimental evolution, bioinformatics, and mathematical/ statistical modeling approaches to investigate processes that drive evolutionary adaptation and diversification. Currently, my research has two main themes:
1) The drivers of repeated evolution: Repeated evolutionary changes arising in independently evolving populations, (known as parallel or convergent evolution), are often taken to be evidence of strong selection. 然而, theoretical models suggest that heterogeneity in mutation rate across the genome can play an equally important role. The relative contribution of mutation and selection for driving patterns of parallel evolution in real populations is still unclear. We explore potential for parallelism by tracking replicated evolution experiments in different types of lab environments and developing novel statistical approaches to quantify the importance of mutation versus selection.
2) Evolution in heterogeneous environments: The world is heterogeneous and these complexities have important implications for the dynamics of evolution. We examine the effects of spatial structure and other environmental complexities on evolution, using both theoretical models and evolution experiments in the lab. The aim is to better identify and understand the processes that play important roles in populations evolving in the complex natural world and, 最终, to predict evolutionary dynamics.
出版物
- Bailey SF, Q Guo, T Bataillon (2018). Identifying drivers of parallel evolution: A regression model approach. Genome 生物学 and Evolution 10(10):2801-12.
- Bailey, SF, F Blanquart, T Bataillon, R Kassen (2017). What drives parallel evolution? BioEssays 39(1): 1-9
- Bailey, SF, T Bataillon (2016). Can the experimental evolution programme help us elucidate the genetic basis of adaptation in nature? Molecular Ecology 25(1): 203-218
- Schick, A, SF Bailey, R Kassen (2015). Evolution of fitness trade-offs in locally adapted populations of Pseudomonas fluorescens. American Naturalist 186: S48-S59
- Hargreaves, AL, SF Bailey, RA Laird (2015). Fitness declines towards range limits and local adaptation to climate affect dispersal evolution during climate‐induced range shifts. Journal of Evolutionary 生物学 28(8): 1489-1501.
- Bailey, SF, N Rodrigue, R Kassen (2015). The effect of selection environment on the probability of parallel evolution. Molecular 生物学 and Evolution, msv033
- Bataillon, T, SF Bailey (2014). Effects of new mutations on fitness: insights from models and data. Annals of the New York Academy of Sciences 1320(1): 76-92
- Bailey, SF, A Hinz, R Kassen (2014). Adaptive synonymous mutations in an experimentally evolved Pseudomonas fluorescens population. Nature Communications 5