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Evolutionary analysis of targets of Ultrabithorax

Evolutionary analysis of targets of Ultrabithorax

Maximilian Kauer (ORCID: )
  • Grant DOI 10.55776/J2340
  • Funding program Erwin Schrödinger
  • Status ended
  • Start January 13, 2004
  • End January 13, 2006
  • Funding amount € 70,000

Disciplines

Biology (100%)

Keywords

    Molecular Evolution, Functional Genetics, Developmental Evolution

Abstract

The Ultrabithorax (Ubx) gene is of great importance for the evolution of athropods. This gene belongs to the class of "homeotic" genes that determine the identity of different body parts. These genes are conserved throughout animal kingdom. Ubx is a transcription factor which regulates the expression of many other genes. It is not known how many genes and in which way these genes are controlled by Ubx. These downstream genes of Ubx and other "master genes" are probably important points of evolution between two species. In this project the evolution of genes between two species that are controlled by Ubx will be studied. This goal has become possible to address because of the availability of the whole genome sequence of two related fruitfly species: Drosophila melanogaster and Drosophila pseudoobscura. Questions that will be addressed in this study are: How many genes are differentially regulated? Which class of genes are differentially regulated? Which genes are direct targets of Ubx and which are regulated indirectly via mediating gene products? Has Ubx or the target genes themselves changed or was evolution due to the change of regulatory sequences which are located around target genes? To determine gene expression of target genes of Ubx "microarrays" will be used. In both species differences in gene expression between "normal" fly-embryos (wildtype) and mutants (where Ubx is non-functional) will be determined. Direct targets of Ubx will be determined using a novel method that allows to map protein-DNA interactions throughout the whole genome. Regulatory sequences around target genes will be determined using computational and experimental methods and their impact will be tested.

Research institution(s)
  • Veterinärmedizinische Universität Wien - 10%
  • Yale University - 100%

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