ArticleBMC genomics2011
Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat.
Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance.Protoplasma · 2018Article
- Comparative proteome analysis of embryo and endosperm reveals central differential expression proteins involved in wheat seed germination.BMC plant biology · 2015Article
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- Differences in gene expression within a striking phenotypic mosaic Eucalyptus tree that varies in susceptibility to herbivory.BMC plant biology · 2013Article
- Transcriptional profile analysis of E3 ligase and hormone-related genes expressed during wheat grain development.BMC plant biology · 2012Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundWheat 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.
resultsA 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.
conclusionsIn 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.
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