Large-scale Statistical Analysis of Secondary Xylem ESTs in Pine

Overview

Journal Plant Mol Biol

Date 2005 Apr 12

PMID 15821878

Citations 19

Authors

Nathalie Pavy

Jerome Laroche

Jean Bousquet

John MacKay

Affiliations

Soon will be listed here.

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 TGFbeta (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.

Citing Articles

The transcriptomics of secondary growth and wood formation in conifers.

Carvalho A, Paiva J, Louzada J, Lima-Brito J Mol Biol Int. 2013; 2013:974324.

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Generation, functional annotation and comparative analysis of black spruce (Picea mariana) ESTs: an important conifer genomic resource.

Mann I, Wegrzyn J, Rajora O BMC Genomics. 2013; 14:702.

PMID: 24119028 PMC: 4007752. DOI: 10.1186/1471-2164-14-702.

Transcriptome characterisation of Pinus tabuliformis and evolution of genes in the Pinus phylogeny.

Niu S, Li Z, Yuan H, Chen X, Li Y, Li W BMC Genomics. 2013; 14:263.

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A spruce gene map infers ancient plant genome reshuffling and subsequent slow evolution in the gymnosperm lineage leading to extant conifers.

Pavy N, Pelgas B, Laroche J, Rigault P, Isabel N, Bousquet J BMC Biol. 2012; 10:84.

PMID: 23102090 PMC: 3519789. DOI: 10.1186/1741-7007-10-84.

Transcriptome profiling in conifers and the PiceaGenExpress database show patterns of diversification within gene families and interspecific conservation in vascular gene expression.

Raherison E, Rigault P, Caron S, Poulin P, Boyle B, Verta J BMC Genomics. 2012; 13:434.

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