Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Digital expression profiling of novel diatom transcripts provides insight into their biological functions
Maheswari, U.; Jabbari, K.; Petit, J.-L.; Porcel, B.M.; Allen, A.E.; Cadoret, J.-P.; De Martino, A.; Heijde, M.; Kaas, R.; La Roche, J.; Lopez, P.J.; Martin-Jézéquel, V.; Meichenin, A.; Mock, T.; Schnitzler Parker, M.; Vardi, A.; Armbrust, E.V.; Weissenbach, J.; Katinka, M.; Bowler, C. (2010). Digital expression profiling of novel diatom transcripts provides insight into their biological functions. Genome Biol. 11(8): R85. https://dx.doi.org/10.1186/gb-2010-11-8-r85
In: Genome Biology. BMC: London. ISSN 1465-6906; e-ISSN 1474-760X
|   |
| Auteurs | | Top |
- Maheswari, U.
- Jabbari, K.
- Petit, J.-L.
- Porcel, B.M.
- Allen, A.E.
- Cadoret, J.-P.
- De Martino, A.
|
- Heijde, M.
- Kaas, R.
- La Roche, J.
- Lopez, P.J.
- Martin-Jézéquel, V.
- Meichenin, A.
- Mock, T.
|
- Schnitzler Parker, M.
- Vardi, A.
- Armbrust, E.V.
- Weissenbach, J.
- Katinka, M.
- Bowler, C.
|
| Abstract |
Background: Diatoms represent the predominant group of eukaryotic phytoplankton in the oceans and are responsible for around 20% of global photosynthesis. Two whole genome sequences are now available. Notwithstanding, our knowledge of diatom biology remains limited because only around half of their genes can be ascribed a function based onhomology-based methods. High throughput tools are needed, therefore, to associate functions with diatom-specific genes. Results: We have performed a systematic analysis of 130,000 ESTs derived from Phaeodactylum tricornutum cells grown in 16 different conditions. These include different sources of nitrogen, different concentrations of carbon dioxide, silicate and iron, and abiotic stresses such as low temperature and low salinity. Based on unbiased statistical methods, we have catalogued transcripts with similar expression profiles and identified transcripts differentially expressed in response to specific treatments. Functional annotation of these transcripts provides insights into expression patterns of genes involved in various metabolic and regulatory pathways and into the roles of novel genes with unknown functions. Specific growth conditions could be associated with enhanced gene diversity, known gene product functions, and over-representation of novel transcripts. Comparative analysis of data from the other sequenced diatom, Thalassiosira pseudonana, helped identify several unique diatom genes that are specifically regulated under particular conditions, thus facilitating studies of gene function, genome annotation and the molecular basis of species diversity. Conclusions: The digital gene expression database represents a new resource for identifying candidate diatomspecific genes involved in processes of major ecological relevance. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
