701-1676-01L  Genomics of Environmental Adaptation

SemesterAutumn Semester 2023
LecturersR. Holderegger, F. Gugerli, C. Rellstab
Periodicityyearly recurring course
Language of instructionEnglish
CommentPrerequisites: good knowledge in population genetics and some experience in using GIS and R is required.


701-1676-01 GGenomics of Environmental Adaptation
Zeit: 08:45 - 17:00
Ort: WSL EP D01
40s hrs
05.02. - 09.02.08:00-17:00Ex te rn »
R. Holderegger, F. Gugerli, C. Rellstab

Catalogue data

AbstractThis five-day winter school aims at teaching advanced Master students, PhD students and postdoctoral researchers on aspects of the genomics of environmental adaptation. It provides both theoretical background and hands-on exercises on major topics of contemporary environmental genomics such as signatures of selection, outlier analysis, genotype-environment associations, or GWAS.
ObjectiveThe genomics of environmental adaptation is an evolving scientific field of both basic and applied interest. Researchers make increasing use of diverse methodological approaches built on concepts from ecology, evolutionary biology and population genomics. This five-day winter school introduces students to some major concepts and methods of environmental genomics, i.e., (i) how the environment and adaptive genetic variation are related and (ii) how signatures of genomic adaptation can be detected in natural populations. The winter school focuses on current methods and hands-on exercises, emphasizing an understanding of the underlying concepts and a discussion of benefits, limitations and pitfalls of environmental genomics. It is specifically aimed at the needs of advanced Master students, PhD students and early postdoctoral researchers.
(1) Molecular markers and next generation sequencing techniques; neutral and adaptive genetic variation, genetic drift and genetic population structure.

(2) Outlier analysis: concept, methodology and types of outlier analyses.

(3) Environmental data: which environmental data are available and used to identify signatures of adaptation; data limitations; collinearity.

(4) Genotype-environment associations (landscape genomics): concept and types of genotype-environment associations; false discovery rates; genomic offset.

(5) Genotypes and phenotypes: GWAS; follow-up analyses.
Lecture notesHand-outs will be distributed.
LiteratureThe course requires 4 hours of preparatory reading of selected papers on the genomics of environmental adaptation. The papers will be distributed by e-mail.
Prerequisites / NoticeGrading will be according to a written report (8-10 pages), in which students will have to design a complete study in environmental genomics, and according to student contributions during the course.

Prerequisites: students must have good knowledge in population genetics and evolutionary biology and some experience with R and GIS.
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesfostered
Project Managementfostered
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Personal CompetenciesCreative Thinkingfostered
Critical Thinkingfostered

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersR. Holderegger, F. Gugerli, C. Rellstab
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationFull presence in the course is mandatory; grading will be according to a written report (8-10 pages) and according to student contributions during the course.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


Places14 at the most
Waiting listuntil 18.01.2024

Offered in

Doctorate Environmental SciencesEcology and EvolutionWInformation
Environmental Sciences MasterAdvanced Concept ClassesWInformation