Issue |
Genet. Sel. Evol.
Volume 35, Number Suppl. 1, 2003
Second International Symposium on Candidate Genes for Animal Health
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Page(s) | S35 - S47 | |
DOI | https://doi.org/10.1051/gse:2003015 |
DOI: 10.1051/gse:2003015
Serial analysis of gene expression (SAGE) in bovine trypanotolerance: preliminary results
David Berthiera, Ronan Quéréb, Sophie Thevenonc, Désiré Belemsagac, David Piquemalb, Jacques Martid and Jean-Charles Maillardaa Cirad, Département d'Élevage et de Médecine Vétérinaire Tropicale, Animal Health Program, Montpellier, France
b Skuld Tech Cie, Montpellier, France
c Cirdes, Unité de Recherches Biologiques, Bobo-Dioulasso, Burkina Faso
d Cnrs, Institut de Génétique Humaine, Université Montpellier II, France
(Accepted 4 February 2003)
Abstract
In Africa, trypanosomosis is a tsetse-transmitted disease which
represents the most important constraint to livestock
production. Several indigenous West African taurine Bos taurus)
breeds, such as the Longhorn (N'Dama) cattle are well known
to control trypanosome infections. This genetic ability named
"trypanotolerance" results from various biological mechanisms under
multigenic control. The methodologies used so far have not succeeded
in identifying the complete pool of genes involved in
trypanotolerance. New post genomic biotechnologies such as
transcriptome analyses are efficient in characterising the pool of
genes involved in the expression of specific biological functions. We
used the serial analysis of gene expression (SAGE) technique to
construct, from Peripheral Blood Mononuclear Cells of an N'Dama cow, 2
total mRNA transcript libraries, at day 0 of a Trypanosoma congolense
experimental infection and at day 10 post-infection, corresponding to the peak
of parasitaemia. Bioinformatic comparisons in the bovine genomic databases
allowed the identification of 187 up- and down- regulated genes, EST and unknown functional
genes. Identification of the genes involved in trypanotolerance will
allow to set up specific microarray sets for further metabolic and
pharmacological studies and to design field marker-assisted selection
by introgression programmes.
Key words: SAGE / trypanotolerance / N'Dama / Trypanosoma congolense / transcriptomics
Correspondence and reprints: Jean-Charles Maillard
e-mail: maillard@cirad.fr
© INRA, EDP Sciences 2003