ONLINE, 13-17 June 2022
Due to the COVID-19 outbreak, this course will be held online
Landscape genomics is an emerging research field that studies how genetic diversity distributes across space and how environmental features can modify this
structure through local adaptation. In this workshop, students will learn the basics of this approach and train using state of the art methods. The course will provide an overview of the type of
dataset that can be used for a landscape genomics analysis. Firstly, students will learn how to obtain environmental data from publicly available databases, how to process it with Geographic
Information Systems (GIS) and how to use the latter to produce indicators able to describe the characteristics of the landscape. Next, the course will discuss the different approaches to obtain
genetic data and subsequently show how to study genetic variation and population structure across space in the R environment. Students will be given an overview of the different statistical
approaches to study local adaptation, and will be trained in using two of them, Sambada and LFMM. The course will also cover the critical task of the
interpretation and validation of the results. Finally, the workshop will consider the crucial aspects and good habits to account for when planning a landscape genomics experiment (e.g. sampling
This workshop is aimed at all biologists, ecologists, geneticists, veterinarians that want to implement the landscape genomics approach in their own studies of evolutionary biology and conservation. Even though the course is not intended for a specialized audience, basic knowledge in evolutionary biology and population genetics would help. Students will learn how to use GIS, but basic computer skills are desirable (e.g. in the R environment). A basic understanding of statistics is also necessary.
The course is organized in ten learning sessions. During the first two sessions, the course will provide a contextualization of the research field. Then, students will be guided through a landscape genomics experiment with sessions that couple brief theoretical introductions with practical work.
15:00 - 18:00 (Berlin time): live lectures and introduction to / review of the practicals
4 additional hours: self-guided practicals using annotated R scripts, with live e-mail support from 09:00 to 23:00 (Berlin time)
- Overview of the course program
- Introduction on Landscape Genomics
- The environmental data
- The genetic data
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.