• Header of Genetics and Genomics at Transmitting Science

Online Course – 4rd Edition

Introduction to Evolutionary Quantitative Genetics

September 13th-17th, 2021

This course will be delivered live online

Online live sessions Monday from 15:00 to 18:00, and Thursday to Friday from 10:00 to 13:00 and 15:00 to 18:00 (Madrid time zone).

 

Introduction to Evolutionary Quantitative Genetics

Course overview

The response to both natural and artificial selection critically depends on the additive genetic variances and covariances underlying the traits subject to selection. As a consequence, understanding the genetic basis of complex morphological, life-history, physiological, ornamental and behavioural traits is crucial if we are to understand their evolutionary potential, and the evolutionary process in general.

Quantitative genetics uses the phenotypic resemblance among related individuals to infer the role of genes and the environment in shaping phenotypic variation. Depending on the species, we can use data obtained from breeding experiments under controlled conditions (e.g. insects, plants), or from individual-based monitoring programs in the wild (e.g. birds and mammals). Especially the latter has benefited greatly from the application of animal model methodology, originally developed in animal breeding to identify individuals of high genetic merit. By simultaneously using the resemblance among all individuals in the pedigree, these methods provide more precise and accurate estimates of genetic and non-genetic variance components (heritabilities and genetic correlations). Furthermore, they allow for the estimation of individual-level genetic effects (breeding values), and thereby the inference of evolution.

In this course we will cover everything from basic quantitative genetic theory and statistics to advanced mixed model-based approaches. You will learn how to estimate genetic variances and covariances in wild and captive populations, and how to test for evolutionary change. Along the way, you will be exposed to a range of general statistical methods (including generalised and mixed models), the R packages MCMCglmm and ASReml-R in particular. Furthermore, we will discuss a number of landmark papers that have put the concepts and methods covered during the lectures and practicals into practice to address fundamental evolutionary questions. You are strongly encouraged to bring your own data (if you have them), which you will be able to work on during the course and which will allow you to put the theory into practice.

The course consists of a total of twelve lectures of varying length. These have been pre-recorded to accommodate participants in different time zones and to create some resilience in the case of internet connectivity issues. In addition to the lectures, there are five practicals. You will work on these individually, but help will be available via Slack. We will discuss the lectures and practicals during live Q&A sessions on Zoom.

Check the program here

Requirements

Graduate or postgraduate degree in any Biosciences discipline. All participants must have a personal computer (Windows, Macintosh), with webcam if possible, and a good internet connection.

While some knowledge of R (e.g. importing and manipulating data) is required, you do not need any previous experience with quantitative genetics and animal models.

Contact

courses@transmittingscience.com

Dates

September 13th-17th, 2021

Schedule and Course length

Online live sessions Monday from 15:00 to 18:00, and Thursday to Friday from 10:00 to 13:00 and 15:00 to 18:00 (Madrid time zone).

27 hours

23 hours of online live lessons, plus 4 hours of recorded lessons.

This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.

The recognition of ECTS by other institutions depends on each university or school.

Language

English

Places

Places are limited to 14 participants and will be occupied by strict registration order.

Participants who have completed the course will receive a certificate at the end of it.

Erik Postma instructor for Transmitting Science

Dr. Erik Postma
University of Exeter
United Kingdom

Haris Saslis coordinator for Transmitting Science

Dr. Haris Saslis
Transmitting Science
Greece

Program

Monday
Afternoon:
  • Welcome and introduction
  • Lecture 1: Quantitative genetic theory.
    • Mendelian basis of continuous traits.
    • Different types of gene action.
    • Additive and non-additive genetic variances.
    • Breeding values.
  • Lecture 2: Basic statistics.
    • Correlation.
    • Regression.
    • ANOVA.
  • Lecture 3: Heritability and its estimation.
    • Parent-offspring regression.
    • Fullsib/halfsib analysis.
Tuesday
Morning:
  • Practical 1: Estimating heritability
    • Simulate data on parents and offspring.
    • Estimate heritabilities.
      • Parent-offspring regression.
      • ANOVA.
Afternoon:
  • Discussion of Practical 1: Estimating heritabilit
  • Lecture 4: More quantitative genetic theory.
    • Genetic correlations.
    • Phenotypic plasticity.
    • Genotype-environment interactions.
  • Lecture 5: Mixed models.
Wednesday
Morning:
  • Practical 2: (Quantitative genetic) mixed models
    • Fitting mixed models in lme4 and asreml-R.
    • Mixed model analysis of halfsib data.
Afternoon:
  • Discussion of Practical 2: (Quantitative genetic) mixed models.
  • Lecture 6: Pedigrees.
    • Structure.
    • Errors.
    • Reconstruction.
  • Lecture 7: The animal model.
    • Advantages.
    • Theory.
    • Software.
Thursday
Morning:
  • Practical 3: The animal model.
    • Pedigrees.
    • Fitting animal models in ASReml-R.
 Afternoon:
  • Discussion of Practical 3: The animal model.
  • Lecture 8: Selection and its response
    • Artificial selection.
    • Breeder’s equation.
    • Natural selection.
    • Evolutionary constraints.
    • Predicting evolution.
  • Lecture 9: Breeding values.
    • True versus predicted breeding values.
    • Genetic selection gradients.
    • Temporal trends.
    • Drift versus adaptive evolution
Friday
Morning:
  • Practical 4: Fitting animal models in MCMCglmm
    • Bayesian statistics and priors.
    • Estimating heritability.
    • Quantifying (adaptive) evolution.
 Afternoon:
  • Discussion Practical 4: Fitting animal models in MCMCglmm
  • Lecture 10: Generalised linear models.
  • Lecture 11: Generalised animal models.
  • Lecture 12: Advanced topics.

Fees

  • Course Fee
  • Early bird (until July 31st, 2021):
  • 460 €
    (368 € for Ambassador Institutions)
  • Regular (after July 31st, 2021):
  • 536 €
    (428.8 € for Ambassador Institutions)
  • The price is VAT included.
    After registration you will receive confirmation of your acceptance in the course. Payment is not required during registration.

You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com

Funding

Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact the course coordinator).

Former participants will have a 5 % discount on the Course Fee.

20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).

Unemployed scientists living in the country were the course will be held, as well as PhD students based in that country without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.

Registration

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