Aarhus Universitets segl

Bioinformatics and Systems Biology Analysis of Invitro Produced Cattle Embryos derived from Epigenetically Divergent Bulls

Main subject area: Bioinformatics and Systems Biology

Short project description

 

Elite bull semen is a commercial product in cattle breeding because it is extensively used in artificial insemination and artificial reproductive technologies such as IVF and MOET. In addition to genetic variation, epigenetic changes can also be transmitted to embryos originating from bull’s sperm which in turn can affect embryo methylome, transcriptome, its development and eventually the phenotypic performance of calves. 

 

We have a Masters project which is aimed at evaluating the impact of Sperm DNA methylation on Invitro Produced (IVP) embryo methylome and transcriptome as well as developmental and morphological characteristics of embryos. The project involves handling next generation sequencing datasets on epigenetics and gene expression of the bull’s sperm and embryos, namely RRBS and RNA-seq and conducting subsequent bioinformatics and reproductive systems biology analyses. 

Analyses will involve using 20 sets of RRBS and 20 sets of RNA-seq to finding Differentially Methylated Cytosines (or DMCs) and Differentially Expressed Genes (DEGs) and constructing Gene Co-expression Networks (GCN).

Department and supervisor

Haja Kadarmideen

Professor Institut for Husdyr- og Veterinærvidenskab - ANIVET Management og Modellering (MAMO)

Project start

Anytime, but no later than 2026


Physical location of project and students work

Dept. of Animal & Veterinary Sciences, AU Viborg.

Extent and type of project

30 ECTS: Theoretical thesis based on literature studies and/or analysis of issued and edited data sets.

Additional information

(E.g. perquisites, conditions, useful reading, etc...... )

  • Master students enrolled in Animal Science, Veterinary Science, Bioinformatics, Molecular Biology who have taken courses in basic genetics/genomics or bioinformatics or computational biology or similar.
  • Experience in using R and/or Python