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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/3492

Title: Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis
Authors: Barros, E
Van Staden, C
Lezar, S
Keywords: Genotypes
Eucalyptus grandis
Biotechnology
Wood-forming tissue
Microarray prototype
cDNA-AFLP analysis
Grandis trees
BMC Biotechnology
Wood - South Africa
Issue Date: May-2009
Publisher: BioMed Central
Citation: Barros, C, Van Staden, C and Lezar, S. 2009. Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis. BMC Biotechnology, Vol. 9(51), pp 1-12
Abstract: Fast-growing Eucalyptus grandis trees are one of the most efficient producers of wood in South Africa. The most serious problem affecting the quality and yield of solid wood products is the occurrence of end splitting in logs. Selection of Eucalyptus grandis planting stock that exhibit preferred wood qualities is thus a priority of the South African forestry industry. The researchers used microarray-based DNA-amplified fragment length polymorphism (AFLP) analysis in combination with expression profiling to develop fingerprints and profile gene expression of wood-forming tissue of seven different E. grandis trees. A 1578-probe cDNA microarray was constructed by arraying 768 cDNA-AFLP clones and 810 cDNA library clones from seven individual E. grandis trees onto silanised slides. The results revealed that 32% of the spotted fragments showed distinct expression patterns (with a fold change of at least 1.4 or -1.4 and a p value of 0.01) could be grouped into clusters representing coexpressed genes. Evaluation of the binary distribution of cDNA-AFLP fragments on the array showed that the individual genotypes could be discriminated.
Description: Copyright: 2009 BioMed Central
URI: http://hdl.handle.net/10204/3492
ISSN: 1472-6750
Appears in Collections:Plant biotechnology
General science, engineering & technology
Bioprospecting

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