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Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat
BACKGROUND: 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 expr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206523/ https://www.ncbi.nlm.nih.gov/pubmed/22003838 http://dx.doi.org/10.1186/1471-2164-12-513 |
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author | Yang, Xinglu Xu, Hongliang Li, Wenhui Li, Le Sun, Jinyue Li, Yaxuan Yan, Yueming Hu, Yingkao |
author_facet | Yang, Xinglu Xu, Hongliang Li, Wenhui Li, Le Sun, Jinyue Li, Yaxuan Yan, Yueming Hu, Yingkao |
author_sort | Yang, Xinglu |
collection | PubMed |
description | BACKGROUND: 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. |
format | Online Article Text |
id | pubmed-3206523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32065232011-11-03 Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat Yang, Xinglu Xu, Hongliang Li, Wenhui Li, Le Sun, Jinyue Li, Yaxuan Yan, Yueming Hu, Yingkao BMC Genomics Methodology Article BACKGROUND: 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. BioMed Central 2011-10-17 /pmc/articles/PMC3206523/ /pubmed/22003838 http://dx.doi.org/10.1186/1471-2164-12-513 Text en Copyright ©2011 Yang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Yang, Xinglu Xu, Hongliang Li, Wenhui Li, Le Sun, Jinyue Li, Yaxuan Yan, Yueming Hu, Yingkao Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title | Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title_full | Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title_fullStr | Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title_full_unstemmed | Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title_short | Screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
title_sort | screening and identification of seed-specific genes using digital differential display tools combined with microarray data from common wheat |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3206523/ https://www.ncbi.nlm.nih.gov/pubmed/22003838 http://dx.doi.org/10.1186/1471-2164-12-513 |
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