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Technical Note: Bovine Oviduct and Endometrium Array Version 1: A Tailored Tool for Studying Bovine Endometrium Biology and Pathophysiology¹

S. Bauersachs^*,, K. Mitko, H. Blum and E. Wolf^*,,2

^* Institute of Molecular Animal Breeding and Biotechnology, and
Laboratory for Functional Genome Analysis, Gene Center, Ludwig-Maximilians University Munich, D-81377 Munich, Germany

² Corresponding author: ewolf{at}lmb.uni-muenchen.de

Fertility problems are the main reason for slaughter of high-performance milk cows, because elongated calving intervals result in financial losses for the farmer and retard genetic progress. Genetic improvement of fertility would be of great benefit, but functional traits for effective selection are missing. Recent advances in functional genomics tools like DNA microarrays could be the key to identify gene expression patterns in the endometrium that correlate with maternal fertility. Therefore, a first version of a bovine oviduct and endometrium cDNA array was established that contains a set of 1,440 cDNA clones and long oligonucleotides representing 950 different genes. The major part of these genes has been identified in a series of differential gene expression studies in endometrium (different stages of the estrous cycle, d 18 pregnant vs. nonpregnant) and in oviduct epithelial cells (different stages of the estrous cycle) using a combination of subtracted cDNA libraries and cDNA array hybridization. Furthermore, cDNA clones of genes, which showed no changes in their mRNA levels in the analyzed tissues, were added as controls. Reproducibility of the array hybridization, a comparison with the Affymetrix bovine genome array, and confirmation of differential gene expression with reverse transcription-quantitative PCR is shown. Potential future applications include systematic studies of interactions between metabolic status and functionality of the endometrium to identify genes that could be used for differential diagnosis of fertility problems. Further, endometrium transcriptome profiles may serve as novel traits to improve fertility by genetic selection.

Key Words: functional genomics • endometrium • oviduct • diagnostic array

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