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MOROKOSHI: Transcriptome Database in Sorghum bicolor

In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We...

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Autores principales: Makita, Yuko, Shimada, Setsuko, Kawashima, Mika, Kondou-Kuriyama, Tomoko, Toyoda, Tetsuro, Matsui, Minami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301747/
https://www.ncbi.nlm.nih.gov/pubmed/25505007
http://dx.doi.org/10.1093/pcp/pcu187
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author Makita, Yuko
Shimada, Setsuko
Kawashima, Mika
Kondou-Kuriyama, Tomoko
Toyoda, Tetsuro
Matsui, Minami
author_facet Makita, Yuko
Shimada, Setsuko
Kawashima, Mika
Kondou-Kuriyama, Tomoko
Toyoda, Tetsuro
Matsui, Minami
author_sort Makita, Yuko
collection PubMed
description In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We constructed a normalized FL-cDNA library from eight growth stages of aerial tissues in Sorghum bicolor and isolated 37,607 clones. These clones were Sanger sequenced from the 5′ and/or 3′ ends and in total 38,981 high-quality expressed sequence tags (ESTs) were obtained. About one-third of the transcripts of known genes were captured as FL-cDNA clone resources. In addition to these, we also annotated 272 novel genes, 323 antisense transcripts and 1,672 candidate isoforms. These clones are available from the RIKEN Bioresource Center. After obtaining accurate annotation of transcriptional units, we performed expression profile analysis. We carried out spikelet-, seed- and stem-specific RNA sequencing (RNA-Seq) analysis and confirmed the expression of 70.6% of the newly identified genes. We also downloaded 23 sorghum RNA-Seq samples that are publicly available and these are shown on a genome browser together with our original FL-cDNA and RNA-Seq data. Using our original and publicly available data, we made an expression profile of each gene and identified the top 20 genes with the most similar expression. In addition, we visualized their relationships in gene co-expression networks. Users can access and compare various transcriptome data from S, bicolor at http://sorghum.riken.jp.
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spelling pubmed-43017472015-02-03 MOROKOSHI: Transcriptome Database in Sorghum bicolor Makita, Yuko Shimada, Setsuko Kawashima, Mika Kondou-Kuriyama, Tomoko Toyoda, Tetsuro Matsui, Minami Plant Cell Physiol Special Online Collection – Database Papers In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We constructed a normalized FL-cDNA library from eight growth stages of aerial tissues in Sorghum bicolor and isolated 37,607 clones. These clones were Sanger sequenced from the 5′ and/or 3′ ends and in total 38,981 high-quality expressed sequence tags (ESTs) were obtained. About one-third of the transcripts of known genes were captured as FL-cDNA clone resources. In addition to these, we also annotated 272 novel genes, 323 antisense transcripts and 1,672 candidate isoforms. These clones are available from the RIKEN Bioresource Center. After obtaining accurate annotation of transcriptional units, we performed expression profile analysis. We carried out spikelet-, seed- and stem-specific RNA sequencing (RNA-Seq) analysis and confirmed the expression of 70.6% of the newly identified genes. We also downloaded 23 sorghum RNA-Seq samples that are publicly available and these are shown on a genome browser together with our original FL-cDNA and RNA-Seq data. Using our original and publicly available data, we made an expression profile of each gene and identified the top 20 genes with the most similar expression. In addition, we visualized their relationships in gene co-expression networks. Users can access and compare various transcriptome data from S, bicolor at http://sorghum.riken.jp. Oxford University Press 2015-01 2014-12-09 /pmc/articles/PMC4301747/ /pubmed/25505007 http://dx.doi.org/10.1093/pcp/pcu187 Text en © The Author 2014. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Online Collection – Database Papers
Makita, Yuko
Shimada, Setsuko
Kawashima, Mika
Kondou-Kuriyama, Tomoko
Toyoda, Tetsuro
Matsui, Minami
MOROKOSHI: Transcriptome Database in Sorghum bicolor
title MOROKOSHI: Transcriptome Database in Sorghum bicolor
title_full MOROKOSHI: Transcriptome Database in Sorghum bicolor
title_fullStr MOROKOSHI: Transcriptome Database in Sorghum bicolor
title_full_unstemmed MOROKOSHI: Transcriptome Database in Sorghum bicolor
title_short MOROKOSHI: Transcriptome Database in Sorghum bicolor
title_sort morokoshi: transcriptome database in sorghum bicolor
topic Special Online Collection – Database Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301747/
https://www.ncbi.nlm.nih.gov/pubmed/25505007
http://dx.doi.org/10.1093/pcp/pcu187
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