Course: "Experimental evolution: bringing theory and practice together”
Schedule and venue: December 5-9, 2022
Sunday: suggested arrival
Saturday: suggested departure
The venue for the practical sessions will be the computer room of the Institute of Population Genetics (Institut für Populationsgenetik) at the University of Veterinary Medicine Vienna (Vetmeduni), accessible at the 4th floor of the campus building HA. The venues for the talks are the Lecture Hall B (Hörsaal B FA05G16) and F (Hörsaal F IC10P10), located in the buildings FA and IC respectively. All areas have step-free access.
See the detailed schedule here.
Link to campus map here
The Vienna Graduate School of Population Genetics is hosting the course "Experimental evolution: bringing theory and practice together” at the University of Veterinary Medicine in Vienna, December 5-9, 2022.
Experimental evolution is extensively used to address questions of evolutionary biology by exposing evolving populations to different environmental conditions. It offers the opportunity to replicate experiments and test for convergent outcomes. With the recent drop in DNA sequencing cost and the advance of sequencing technologies, the combination of experimental evolution with next generation sequencing of pools of individuals (Evolve & Resequence) has become a state-of-the-art method to link phenotypic responses to genetic changes. Although the availability of replicated time series data is one key advantage of E&R, the analysis of such data sets is still in its infancy. This course will introduce the participants to several new approaches for the analysis of genomic time series data covering the latest software tools as well as required statistical and computational skills.
The course is targeted towards researchers interested in experimental evolution combined with NGS and will cover the design of experimental evolution studies as well as the analysis of Pool-Seq time series data.
The course aims to introduce participants to:
State-of-the-art software packages
Modelling of neutral data
Identifying selected regions
Haplotypes reconstruction from time-series data
Estimating selection coefficients
Calling transposable elements in time series data
Inferring selection in transcriptomics data
Morning lectures by internationally renowned faculty will be followed by computer practicals on the analysis of experimental evolution data in the afternoon.
Neda Barghi (Vetmeduni Vienna, AT):
- Experimental Evolution to the Rescue: Understanding Adaptation of
Megan Behringer (Vanderbilt University, US):
- Approaches for measuring spontaneous mutation rates.
- Microbial Hunger Games: How different intervals of feast and famine shape microbial evolution.
Robert Kofler (Vetmeduni Vienna, AT):
- Dynamics of transposable element invasion.
Christian Schlötterer (Vetmeduni Vienna, A):
- Experimental design of E&R studies.
- Experimental evolution as a powerful tool for discovery based research.
Paul Schmidt (University of Pennsylvania, US):
- Experimental evolution and the genotype to phenotype to fitness map.
- Rapid evolution of pigmentation and dynamics of polygenic adaptation in Drosophila.
Henrique Teotónio (IBENS, FR):
- Introduction to Experimental Evolution.
- Evolution of recombination.
Call for workshop participants is closed, but you can still apply to attend the lectures, only. Please sign up by completing this form: https://forms.gle/RTh9bkwcnqFZovFUA, as space is limited!
Participants are expected to arrange their own accommodation.
If you have any questions, please do not hesitate to contact us at experimental.evolution2022_at_gmail.com