MICROARRAYS FOR GLOBAL EXPRESSION CONSTRUCTED WITH A LOW REDUNDANCY SET OF 27,500 SEQUENCED CDNAS REPRESENTING AN ARRAY OF DEVELOPMENTAL STAGES AND PHYSIOLOGICAL CONDITIONS OF THE SOYBEAN PLANT

Authors: VODKIN, L - UNIVERSITY OF ILLINOIS; KAHNNA, A - UNIVERSITY OF ILLINOIS; SHEALY, R - UNIVERSITY OF ILLINOIS; Clough, Steven; GONZALES, D - UNIVERSITY OF ILLINOIS; PHILIP, R - UNIVERSITY OF ILLINOIS; ZABALA, G - UNIVERSITY OF ILLINOIS; THIBAUD-NISSEN, F - UNIVERSITY OF ILLINOIS; SIDAROUS, M - UNIVERSITY OF ILLINOIS; STROMVIK, M - UNIVERSITY OF MINNESOTA; SHOOP, E - UNIVERSITY OF MINNESOTA; SCHMIDT, C - UNIVERSITY OF MINNESOTA; RETZEL, E - UNIVERSITY OF MINNESOTA; ERPELDING, J - IOWA STATE UNIVERSITY; Shoemaker, Randy; RODRIZUES-HUETE, A - UNIVERSITY OF MISSOURI; POLACCO, J - UNIVERSITY OF MISSOURI; CORYELL, V - NO. ARIZONA UNIVERSITY; KEIM, P - NO. ARIZONA UNIVERSITY; GONG, G - UNIVERSITY OF ILLINOIS; LUI, L - UNIVERSITY OF ILLINOIS; PARDINAS, J - UNIVERSITY OF ILLINOIS; SCHWEITZER, P - UNIVERSITY OF ILLINOIS

Submitted to: BMC Genomics
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/29/2004
Publication Date: 9/29/2004
Citation: Vodkin, L.O., Kahnna, A., Shealy, R.T., Clough, S.J., Gonzales, D.O., Philip, R., Zabala, G.C., Thibaud-Nissen, F., Sidarous, M., Stromvik, M.V., Shoop, E.G., Schmidt, C., Retzel, E., Erpelding, J., Shoemaker, R.C., Rodrizues-Huete, A.M., Polacco, J.C., Coryell, V., Keim, P., Gong, G., Lui, L., Pardinas, J.L., Schweitzer, P. 2004. Microarrays For Global Expression Constructed With A Low Redundancy Set of 27,500 Sequenced cDNAs Representing An Array of Developmental Stages and Physiological Conditions of The Soybean Plant. Biomed Central (BMC) Genomics. 5:73.

Interpretive Summary: Identifying genes that control specific traits is very challenging. We developed soybean microarrays to assist in our ability to identify genes of agronomic interest. We are using these microarrays to identify thousands of genes that are involved in various plant processes such as seed development, disease resistance, and nitrogen fixation. Data that we generate will be of value to the basic scientific research community and the soybean industry including geneticists, breeders, and nutritionists.

Technical Abstract: Background: Microarrays are an important tool with which to examine coordinated gene expression. Soybean (Glycine max) is one of the most economically valuable crop species in the world food supply. In order to accelerate both gene discovery as well as hypothesis-driven research in soybean, global expression resources needed to be developed. The applications of microarray for determining patterns of expression in different tissues or during conditional treatments by dual labeling of the mRNAs are unlimited. In addition, discovery of the molecular basis of traits through examination of naturally occurring variation in hundreds of mutant lines could be enhanced by the construction and use of soybean cDNA microarrays. Results: We report the construction and analysis of a low redundancy 'unigene' set of 27,513 clones that represent a variety of soybean cDNA libraries made from a wide array of source tissue and organ systems, developmental stages, and stress or pathogen-challenged plants. The set was assembled from the 5' sequence data of the cDNA clones using cluster analysis programs. The selected clones were then physically reracked and sequenced at the 3' end. In order to increase gene discovery from immature cotyledon libraries that contain abundant mRNAs representing storage protein gene families, we utilized a high density filter normalization approach to preferentially select more weakly expressed cDNAs. All 27,513 cDNA inserts were amplified by polymerase chain reaction. The amplified products, along with some repetitively spotted control or 'choice' clones, were used to produce three 9,728-element microarrays that have been used to examine tissue specific gene expression and global expression in mutant isolines. Conclusions: Global expression studies will be greatly aided by the availability of the sequence-validated and low redundancy cDNA sets described in this report. These cDNA and ESTs represent a wide array of developmental stages and physiological conditions of the soybean plant. We also demonstrate that the quality of the data from the soybean cDNA microarrays arrays is sufficiently reliable to examine isogenic lines that differ with respect to a mutant phenotype and thereby to define a small list of candidate genes potentially encoding or modulated by the mutant phenotype.