DZG Graduate Meeting

"Mind the gap: From Genotype to Phenotype and the role of Modelling, Genomic Prediction and Development"

As speakers of the section "Developmental Biology" we are happy to announce that the virtual Graduate Meeting "Mind the gap: From Genotype to Phenotype and the role of Modelling, Genomic Prediction and Development" will take place from March 2 - 4, 2022 via Zoom.


Abstract deadline: February 20, 2022

Registration deadline: March 1, 2022

Participation if free of charge, but you need to register to receive access data to join the online meeting!


Understanding how natural variation in genetic information contributes to the diversity in organismal form and function is a major challenge in Biology. Thorough mechanistic insights into such genotype-phenotype associations can have a major impact on our understanding of evolutionary biology, plant- and animal breeding, biodiversity, and human diseases. Advances in sequencing technologies nowadays allow describing genetic variation on multiple scales ranging from genome architecture to gene transcript and protein abundance. Additionally, novel high-throughput imaging methods and computer-aided behavioral assays are being developed to quantify phenotypic variation present in nature. We, thus, reached exciting times with an accumulation of quantitative data on the genotypic and the phenotypic level. Such datasets are excellent sources to train and improve novel machine learning approaches that are being extensively employed to achieve high-quality predictions of natural phenomena. Accordingly, applications in establishing genotype-phenotype associations are at the doorstep. 

Most adult phenotypes are exposed to changing environmental conditions and therefore subject to natural selection. These adult phenotypes are shaped during embryonic and post-embryonic development. Therefore, developmental processes are excellent targets to link variation in genotypes with phenotypic divergence.

With this symposium we want to bring together leading researchers who employ quantitative dataset to gain insights into genotype-phenotype associations. We want to bring experimentalists and theoreticians together to evaluate the opportunities and challenges of quantitative data integration. Eventually, we want to come up with a tractable outline of requirements for genotypic and phenotypic data to make sure that future research directions will contribute as much valuable experimental data as possible to allow the integration of powerful machine learning-aided predictions.


To provide a solid basis for discussions and exchange we offer plenty of slots for contributed talks: 

  • ~10-16 minutes
  • ~5 -8 minutes

Please indicate in the registration form, which type of contribution you prefer.

Tentative Program (all CET times)

Wednesday, March 2, 2022  
12:45 Welcome
13:00 Sonja Grath
13:35 Contributed Talks and Coffee Break
15:00 Luisa Pallares
15:35 Contributed Talks and Coffee Break
17:00 Discussion and Social Evening
Thursday, March 3, 2022  
 13:00 Hanh Vu
 13:35 Contributed Talks and Coffee Break
 15:00 Nikola-Michael Prpic Schäper
 15:35 Contributed Talks and Coffee Break
 17:00 Discussion and Social Evening
Friday, March 4, 2022  
13:00 Pavel Tomancak
13:35 Contributed Talks and Coffee Break
15:00 Final Discussion and Wrap-up


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