Genomic Characterization and Evolutionary Dynamics of Developmental Gene Regulatory Networks of Paracentrotus lividus (Echinodermata: Echinoidea)


Mutations impacting DNA regulatory elements make a disproportionate contribution to evolutionary processes and are important contributors to inter-individual variation in disease susceptibility.
We are, however, limited in our ability to predict *which* mutations in non-coding, regulatory DNA are most likely to impact phenotype because DNA regulatory element sequences are often degenerate. In this study, we take a comparative approach to this problem by measuring regulatory element activity and gene expression during development in two related species. By examining the relationship between changes in DNA sequence, regulatory element activity, and expression, we will build predictive models of which kinds of mutation are most likely to impact gene expression and higher-level phenotypes. We will then test these predictions using transgenic assays.

Mutations impacting DNA regulatory elements make a disproportionate contribution to evolutionary processes and are important contributors to inter-individual variation in disease susceptibility.
We are, however, limited in our ability to predict *which* mutations in non-coding, regulatory DNA are most likely to impact phenotype because DNA regulatory element sequences are often degenerate. In this study, we take a comparative approach to this problem by measuring regulatory element activity and gene expression during development in two related species. By examining the relationship between changes in DNA sequence, regulatory element activity, and expression, we will build predictive models of which kinds of mutation are most likely to impact gene expression and higher-level phenotypes. We will then test these predictions using transgenic assays.

Principal investigators
Garfield, David Dr. (Details) (Junior Research Groups)

Participating organisational units of HU Berlin

Duration of project
Start date: 10/2019
End date: 09/2020

Research Areas
Developmental Biology

Research Areas
Genetik, Maschinelles Lernen

Last updated on 2022-07-09 at 17:05