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Plant Molecular Biology

, Volume 57, Issue 2, pp 203–224 | Cite as

Large-scale statistical analysis of secondary xylem ESTs in pine

  • Nathalie PavyEmail author
  • Jérôme Laroche
  • Jean Bousquet
  • John Mackay
Article

Abstract

A computational analysis of pine transcripts was conducted to contribute to the functional annotation of conifer sequences. A statistical analysis of expressed sequential tags(ESTs) belonging the 7732 contigs in the TIGR Pinus Gene Index (PGI1.0) identified 260 differentially represented gene sequences across six cDNA libraries from loblolly pine secondary xylem. Cluster analysis of this subset of contigs resulted in five groups representing genes preferentially represented in one of the xylem samples (compression wood, plannings, root xylem, latewood) and one group containing mostly genes simultaneously present in compression and side wood libraries. To complement the sequence annotation, 27 cDNA clones representing selected transcripts were completely sequenced. Several genes were identified that could represent putative markers for xylem from different organs, at different stages of development. Several sequences encoding regulatory proteins were over-represented in root xylem as opposed to the other xylem samples. Some of them belonged to known families of plant transcription factors, but two genes were previously uncharacterized in plants. One transcript was homologous to the gene encoding the Smad4 interacting factor, a key co-activator in TGFβ (transforming growth factor) signalling in animals. Thus, the digital analysis of pine ESTs highlighted a putative gene function of potentially broad interest but that has yet to be investigated in plants. More generally, this study showed that the application of numerical approaches to EST databases should be helpful in establishing priorities among genes to consider for targeted functional studies. Thus, we illustrated the potential of extracting information from conifer sequences already accessible through well-structured public databases.

Keywords

computational analysis EST gene discovery pine xylem 

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Copyright information

© Springer 2005

Authors and Affiliations

  • Nathalie Pavy
    • 1
    Email author
  • Jérôme Laroche
    • 3
  • Jean Bousquet
    • 1
    • 2
  • John Mackay
    • 1
  1. 1.ARBOREA and Centre de Recherche en Biologie ForestiéreUniversitè LavalQueCanada
  2. 2.Chaire de Recherche du Canada en Génomique Forestiére et EnvironnementaleUniversité LavalQueCanada
  3. 3.Centre de bio-informatiqueUniversité LavalQueCanada

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