論文

査読有り
2012年4月

Comprehensive Functional Analyses of Expressed Sequence Tags in Common Wheat (Triticum aestivum)

DNA RESEARCH
  • Alagu Manickavelu
  • Kanako Kawaura
  • Kazuko Oishi
  • Tadasu Shin-I
  • Yuji Kohara
  • Nabila Yahiaoui
  • Beat Keller
  • Reina Abe
  • Ayako Suzuki
  • Taishi Nagayama
  • Kentaro Yano
  • Yasunari Ogihara
  • 全て表示

19
2
開始ページ
165
終了ページ
177
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1093/dnares/dss001
出版者・発行元
OXFORD UNIV PRESS

About 1 million expressed sequence tag (EST) sequences comprising 125.3 Mb nucleotides were accreted from 51 cDNA libraries constructed from a variety of tissues and organs under a range of conditions, including abiotic stresses and pathogen challenges in common wheat (Triticum aestivum). Expressed sequence tags were assembled with stringent parameters after processing with inbuild scripts, resulting in 37 138 contigs and 215 199 singlets. In the assembled sequences, 10.6% presented no matches with existing sequences in public databases. Functional characterization of wheat unigenes by gene ontology annotation, mining transcription factors, full-length cDNA, and miRNA targeting sites were carried out. A bioinformatics strategy was developed to discover single-nucleotide polymorphisms (SNPs) within our large EST resource and reported the SNPs between and within (homoeologous) cultivars. Digital gene expression was performed to find the tissue-specific gene expression, and correspondence analysis was executed to identify common and specific gene expression by selecting four biotic stress-related libraries. The assembly and associated information cater a framework for future investigation in functional genomics.

リンク情報
DOI
https://doi.org/10.1093/dnares/dss001
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/22334568
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000303290100006&DestApp=WOS_CPL
ID情報
  • DOI : 10.1093/dnares/dss001
  • ISSN : 1340-2838
  • eISSN : 1756-1663
  • PubMed ID : 22334568
  • Web of Science ID : WOS:000303290100006

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