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Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis

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dc.contributor.author Barros, E
dc.contributor.author Van Staden, C
dc.contributor.author Lezar, S
dc.date.accessioned 2009-07-09T11:25:50Z
dc.date.available 2009-07-09T11:25:50Z
dc.date.issued 2009-05
dc.identifier.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 en
dc.identifier.issn 1472-6750
dc.identifier.uri http://hdl.handle.net/10204/3492
dc.description Copyright: 2009 BioMed Central en
dc.description.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. en
dc.language.iso en en
dc.publisher BioMed Central en
dc.subject Genotypes en
dc.subject Eucalyptus grandis en
dc.subject Biotechnology en
dc.subject Wood-forming tissue en
dc.subject Microarray prototype en
dc.subject cDNA-AFLP analysis en
dc.subject Grandis trees en
dc.subject BMC Biotechnology en
dc.subject Wood - South Africa en
dc.title Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis en
dc.type Article en
dc.identifier.apacitation Barros, E., Van Staden, C., & Lezar, S. (2009). Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis. http://hdl.handle.net/10204/3492 en_ZA
dc.identifier.chicagocitation Barros, E, C Van Staden, and S Lezar "Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis." (2009) http://hdl.handle.net/10204/3492 en_ZA
dc.identifier.vancouvercitation Barros E, Van Staden C, Lezar S. Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis. 2009; http://hdl.handle.net/10204/3492. en_ZA
dc.identifier.ris TY - Article AU - Barros, E AU - Van Staden, C AU - Lezar, S AB - 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. DA - 2009-05 DB - ResearchSpace DP - CSIR KW - Genotypes KW - Eucalyptus grandis KW - Biotechnology KW - Wood-forming tissue KW - Microarray prototype KW - cDNA-AFLP analysis KW - Grandis trees KW - BMC Biotechnology KW - Wood - South Africa LK - https://researchspace.csir.co.za PY - 2009 SM - 1472-6750 T1 - Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis TI - Microarray-based method for the parallel analysis of genotypes and expression profiles of wood-forming tissues in Eucalyptus grandis UR - http://hdl.handle.net/10204/3492 ER - en_ZA


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