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A description of the origins, design and performance of the TRAITS–SGP Atlantic salmon Salmo salar L. cDNA microarray.

Authors :
Taggart, J. B.
Bron, J. E.
Martin, S. A. M.
Seear, P. J.
Høyheim, B.
Talbot, R.
Carmichael, S. N.
Villeneuve, L. A. N.
Sweeney, G. E.
Houlihan, D. F.
Secombes, C. J.
Tocher, D. R.
Teale, A. J.
Source :
Journal of Fish Biology; Jun2008, Vol. 72 Issue 9, p2071-2094, 24p, 2 Diagrams, 7 Charts, 1 Graph
Publication Year :
2008

Abstract

The origins, design, fabrication and performance of an Atlantic salmon microarray are described. The microarray comprises 16 950 Atlantic salmon-derived cDNA features, printed in duplicate and mostly sourced from pre-existing expressed sequence tag (EST) collections [SALGENE and salmon genome project (SGP)] but also supplemented with cDNAs from suppression subtractive hybridization libraries and candidate genes involved in immune response, protein catabolism, lipid metabolism and the parr–smolt transformation. A preliminary analysis of a dietary lipid experiment identified a number of genes known to be involved in lipid metabolism. Significant fold change differences (as low as 1·2×) were apparent from the microarray analysis and were confirmed by quantitative real-time polymerase chain reaction analysis. The study also highlighted the potential for obtaining artefactual expression patterns as a result of cross-hybridization of similar transcripts. Examination of the robustness and sensitivity of the experimental design employed demonstrated the greater importance of biological replication over technical (dye flip) replication for identification of a limited number of key genes in the studied system. The TRAITS (TRanscriptome Analysis of Important Traits of Salmon)–salmon genome project microarray has been proven, in a number of studies, to be a powerful tool for the study of key traits of Atlantic salmon biology. It is now available for use by researchers in the wider scientific community. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221112
Volume :
72
Issue :
9
Database :
Complementary Index
Journal :
Journal of Fish Biology
Publication Type :
Academic Journal
Accession number :
32563983
Full Text :
https://doi.org/10.1111/j.1095-8649.2008.01876.x