Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat

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DOIResolve DOI: http://doi.org/10.1186/1471-2164-12-513
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TypeArticle
Journal titleBMC Genomics
ISSN1471-2164
Volume12
Article number513
Subjectenzyme inhibitor; oxidoreductase; antioxidant activity; article; controlled study; digital differential display; enzyme activity; gene expression; gene function; gene identification; genetic association; genetic screening; information processing; microarray analysis; nonhuman; nutrient; online system; pathogenesis; plant genome; plant seed; reservoir; rice; wheat; cluster analysis; computer program; DNA microarray; gene expression profiling; genetic database; genetics; plant gene; plant seed; wheat; Oryza sativa; Triticum aestivum; Cluster Analysis; Databases, Genetic; Gene Expression Profiling; Genes, Plant; Oligonucleotide Array Sequence Analysis; Oryza sativa; Seeds; Software; Triticum
AbstractBackground: Wheat is one of the most important cereal crops for human beings, with seeds being the tissue of highly economic value. Various morphogenetic and metabolic processes are exclusively associated with seed maturation. The goal of this study was to screen and identify genes specifically expressed in the developing seed of wheat with an integrative utilization of digital differential display (DDD) and available online microarray databases.Results: A total of 201 unigenes were identified as the results of DDD screening and microarray database searching. The expressions of 6 of these were shown to be seed-specific by qRT-PCR analysis. Further GO enrichment analysis indicated that seed-specific genes were mainly associated with defense response, response to stress, multi-organism process, pathogenesis, extracellular region, nutrient reservoir activity, enzyme inhibitor activity, antioxidant activity and oxidoreductase activity. A comparison of this set of genes with the rice (Oryza sativa) genome was also performed and approximately three-fifths of them have rice counterparts. Between the counterparts, around 63% showed similar expression patterns according to the microarray data.Conclusions: In conclusion, the DDD screening combined with microarray data analysis is an effective strategy for the identification of seed-specific expressed genes in wheat. These seed-specific genes screened during this study will provide valuable information for further studies about the functions of these genes in wheat. © 2011 Yang et al; licensee BioMed Central Ltd.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Plant Biotechnology Institute (PBI-IBP)
Peer reviewedYes
NPARC number21271032
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Record identifier0336e393-107f-4731-a7f2-71a49ac84616
Record created2014-03-24
Record modified2016-05-09
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