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Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome

Genome tiling microarray studies have consistently documented rich transcriptional activity beyond the annotated genes. However, systematic characterization and transcriptional profiling of the putative novel transcripts on the genome scale are still lacking. We report here the identification of 25,...

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Autores principales: Li, Lei, Wang, Xiangfeng, Sasidharan, Rajkumar, Stolc, Viktor, Deng, Wei, He, Hang, Korbel, Jan, Chen, Xuewei, Tongprasit, Waraporn, Ronald, Pamela, Chen, Runsheng, Gerstein, Mark, Wang Deng, Xing
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1808428/
https://www.ncbi.nlm.nih.gov/pubmed/17372628
http://dx.doi.org/10.1371/journal.pone.0000294
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author Li, Lei
Wang, Xiangfeng
Sasidharan, Rajkumar
Stolc, Viktor
Deng, Wei
He, Hang
Korbel, Jan
Chen, Xuewei
Tongprasit, Waraporn
Ronald, Pamela
Chen, Runsheng
Gerstein, Mark
Wang Deng, Xing
author_facet Li, Lei
Wang, Xiangfeng
Sasidharan, Rajkumar
Stolc, Viktor
Deng, Wei
He, Hang
Korbel, Jan
Chen, Xuewei
Tongprasit, Waraporn
Ronald, Pamela
Chen, Runsheng
Gerstein, Mark
Wang Deng, Xing
author_sort Li, Lei
collection PubMed
description Genome tiling microarray studies have consistently documented rich transcriptional activity beyond the annotated genes. However, systematic characterization and transcriptional profiling of the putative novel transcripts on the genome scale are still lacking. We report here the identification of 25,352 and 27,744 transcriptionally active regions (TARs) not encoded by annotated exons in the rice (Oryza. sativa) subspecies japonica and indica, respectively. The non-exonic TARs account for approximately two thirds of the total TARs detected by tiling arrays and represent transcripts likely conserved between japonica and indica. Transcription of 21,018 (83%) japonica non-exonic TARs was verified through expression profiling in 10 tissue types using a re-array in which annotated genes and TARs were each represented by five independent probes. Subsequent analyses indicate that about 80% of the japonica TARs that were not assigned to annotated exons can be assigned to various putatively functional or structural elements of the rice genome, including splice variants, uncharacterized portions of incompletely annotated genes, antisense transcripts, duplicated gene fragments, and potential non-coding RNAs. These results provide a systematic characterization of non-exonic transcripts in rice and thus expand the current view of the complexity and dynamics of the rice transcriptome.
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spelling pubmed-18084282007-03-19 Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome Li, Lei Wang, Xiangfeng Sasidharan, Rajkumar Stolc, Viktor Deng, Wei He, Hang Korbel, Jan Chen, Xuewei Tongprasit, Waraporn Ronald, Pamela Chen, Runsheng Gerstein, Mark Wang Deng, Xing PLoS One Research Article Genome tiling microarray studies have consistently documented rich transcriptional activity beyond the annotated genes. However, systematic characterization and transcriptional profiling of the putative novel transcripts on the genome scale are still lacking. We report here the identification of 25,352 and 27,744 transcriptionally active regions (TARs) not encoded by annotated exons in the rice (Oryza. sativa) subspecies japonica and indica, respectively. The non-exonic TARs account for approximately two thirds of the total TARs detected by tiling arrays and represent transcripts likely conserved between japonica and indica. Transcription of 21,018 (83%) japonica non-exonic TARs was verified through expression profiling in 10 tissue types using a re-array in which annotated genes and TARs were each represented by five independent probes. Subsequent analyses indicate that about 80% of the japonica TARs that were not assigned to annotated exons can be assigned to various putatively functional or structural elements of the rice genome, including splice variants, uncharacterized portions of incompletely annotated genes, antisense transcripts, duplicated gene fragments, and potential non-coding RNAs. These results provide a systematic characterization of non-exonic transcripts in rice and thus expand the current view of the complexity and dynamics of the rice transcriptome. Public Library of Science 2007-03-14 /pmc/articles/PMC1808428/ /pubmed/17372628 http://dx.doi.org/10.1371/journal.pone.0000294 Text en Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Lei
Wang, Xiangfeng
Sasidharan, Rajkumar
Stolc, Viktor
Deng, Wei
He, Hang
Korbel, Jan
Chen, Xuewei
Tongprasit, Waraporn
Ronald, Pamela
Chen, Runsheng
Gerstein, Mark
Wang Deng, Xing
Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title_full Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title_fullStr Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title_full_unstemmed Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title_short Global Identification and Characterization of Transcriptionally Active Regions in the Rice Genome
title_sort global identification and characterization of transcriptionally active regions in the rice genome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1808428/
https://www.ncbi.nlm.nih.gov/pubmed/17372628
http://dx.doi.org/10.1371/journal.pone.0000294
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