Publications des scientifiques de l'IRD

Degletagne C., Keime C., Rey B., Dinechin de Marc, Forcheron F., Chuchana Paul, Jouventin P., Gautier C., Duchamp C. (2010). Transcriptome analysis in non-model species : a new method for the analysis of heterologous hybridization on microarrays. Bmc Genomics, 11, p. 344. ISSN 1471-2164.

Titre du document
Transcriptome analysis in non-model species : a new method for the analysis of heterologous hybridization on microarrays
Année de publication
2010
Type de document
Article référencé dans le Web of Science WOS:000279867600001
Auteurs
Degletagne C., Keime C., Rey B., Dinechin de Marc, Forcheron F., Chuchana Paul, Jouventin P., Gautier C., Duchamp C.
Source
Bmc Genomics, 2010, 11, p. 344 ISSN 1471-2164
Background: Recent developments in high-throughput methods of analyzing transcriptomic profiles are promising for many areas of biology, including ecophysiology. However, although commercial microarrays are available for most common laboratory models, transcriptome analysis in non-traditional model species still remains a challenge. Indeed, the signal resulting from heterologous hybridization is low and difficult to interpret because of the weak complementarity between probe and target sequences, especially when no microarray dedicated to a genetically close species is available. Results: We show here that transcriptome analysis in a species genetically distant from laboratory models is made possible by using MAXRS, a new method of analyzing heterologous hybridization on microarrays. This method takes advantage of the design of several commercial microarrays, with different probes targeting the same transcript. To illustrate and test this method, we analyzed the transcriptome of king penguin pectoralis muscle hybridized to Affymetrix chicken microarrays, two organisms separated by an evolutionary distance of approximately 100 million years. The differential gene expression observed between different physiological situations computed by MAXRS was confirmed by real-time PCR on 10 genes out of 11 tested. Conclusions: MAXRS appears to be an appropriate method for gene expression analysis under heterologous hybridization conditions.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Biotechnologies [084]
Localisation
Fonds IRD [F B010049671]
Identifiant IRD
fdi:010049671
Contact