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Genome-wide transcription analyses in rice using tiling microarrays

  • Lei Li
  • , Xiangfeng Wang
  • , Viktor Stolc
  • , Xueyong Li
  • , Dongfen Zhang
  • , Ning Su
  • , Waraporn Tongprasit
  • , Songgang Li
  • , Zhukuan Cheng
  • , Jun Wang
  • , Wang Deng Xing
  • National Institute of Biological Sciences, Beijing
  • Yale University
  • Peking University
  • CAS - Beijing Institute of Genomics
  • NASA Ames Research Center
  • China Bioway Biotech Group Co., Ltd.
  • CAS - Institute of Genetics and Developmental Biology
  • ELORET Corporation

Research output: Contribution to journalArticlepeer-review

144 Scopus citations

Abstract

Sequencing and computational annotation revealed several features, including high gene numbers1-6, unusual composition of the predicted genes1,7 and a large number of genes lacking homology to known genes8,9, that distinguish the rice (Oryza sativa) genome from that of other fully sequenced model species. We report here a full-genome transcription analysis of the indica rice subspecies using high-density oligonucleotide tiling microarrays. Our results provided expression data support for the existence of 35,970 (81.9%) annotated gene models and identified 5,464 unique transcribed intergenic regions that share similar compositional properties with the annotated exons and have significant homology to other plant proteins. Elucidating and mapping of all transcribed regions revealed an association between global transcription and cytological chromosome features, and an overall similarity of transcriptional activity between duplicated segments of the genome. Collectively, our results provide the first whole-genome transcription map useful for further understanding the rice genome.

Original languageEnglish
Pages (from-to)124-129
Number of pages6
JournalNature Genetics
Volume38
Issue number1
DOIs
StatePublished - Jan 2006
Externally publishedYes

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