Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.

Rice (Oryza sativa L.) is a model organism for the functional genomics of monocotyledonous plants since the genome size is considerably smaller than those of other monocotyledonous plants. Although highly accurate genome sequences of indica and japonica rice are available, additional resources such...

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Main Authors: Kouji Satoh, Koji Doi, Toshifumi Nagata, Naoki Kishimoto, Kohji Suzuki, Yasuhiro Otomo, Jun Kawai, Mari Nakamura, Tomoko Hirozane-Kishikawa, Saeko Kanagawa, Takahiro Arakawa, Juri Takahashi-Iida, Mitsuyoshi Murata, Noriko Ninomiya, Daisuke Sasaki, Shiro Fukuda, Michihira Tagami, Harumi Yamagata, Kanako Kurita, Kozue Kamiya, Mayu Yamamoto, Ari Kikuta, Takahito Bito, Nahoko Fujitsuka, Kazue Ito, Hiroyuki Kanamori, Il-Ryong Choi, Yoshiaki Nagamura, Takashi Matsumoto, Kazuo Murakami, Ken-ichi Matsubara, Piero Carninci, Yoshihide Hayashizaki, Shoshi Kikuchi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2007-11-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0001235
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spelling doaj-4675951698dc42b5b022744bfda4a8172021-03-03T22:26:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032007-11-01211e123510.1371/journal.pone.0001235Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.Kouji SatohKoji DoiToshifumi NagataNaoki KishimotoKohji SuzukiYasuhiro OtomoJun KawaiMari NakamuraTomoko Hirozane-KishikawaSaeko KanagawaTakahiro ArakawaJuri Takahashi-IidaMitsuyoshi MurataNoriko NinomiyaDaisuke SasakiShiro FukudaMichihira TagamiHarumi YamagataKanako KuritaKozue KamiyaMayu YamamotoAri KikutaTakahito BitoNahoko FujitsukaKazue ItoHiroyuki KanamoriIl-Ryong ChoiYoshiaki NagamuraTakashi MatsumotoKazuo MurakamiKen-ichi MatsubaraPiero CarninciYoshihide HayashizakiShoshi KikuchiRice (Oryza sativa L.) is a model organism for the functional genomics of monocotyledonous plants since the genome size is considerably smaller than those of other monocotyledonous plants. Although highly accurate genome sequences of indica and japonica rice are available, additional resources such as full-length complementary DNA (FL-cDNA) sequences are also indispensable for comprehensive analyses of gene structure and function. We cross-referenced 28.5K individual loci in the rice genome defined by mapping of 578K FL-cDNA clones with the 56K loci predicted in the TIGR genome assembly. Based on the annotation status and the presence of corresponding cDNA clones, genes were classified into 23K annotated expressed (AE) genes, 33K annotated non-expressed (ANE) genes, and 5.5K non-annotated expressed (NAE) genes. We developed a 60mer oligo-array for analysis of gene expression from each locus. Analysis of gene structures and expression levels revealed that the general features of gene structure and expression of NAE and ANE genes were considerably different from those of AE genes. The results also suggested that the cloning efficiency of rice FL-cDNA is associated with the transcription activity of the corresponding genetic locus, although other factors may also have an effect. Comparison of the coverage of FL-cDNA among gene families suggested that FL-cDNA from genes encoding rice- or eukaryote-specific domains, and those involved in regulatory functions were difficult to produce in bacterial cells. Collectively, these results indicate that rice genes can be divided into distinct groups based on transcription activity and gene structure, and that the coverage bias of FL-cDNA clones exists due to the incompatibility of certain eukaryotic genes in bacteria.https://doi.org/10.1371/journal.pone.0001235
collection DOAJ
language English
format Article
sources DOAJ
author Kouji Satoh
Koji Doi
Toshifumi Nagata
Naoki Kishimoto
Kohji Suzuki
Yasuhiro Otomo
Jun Kawai
Mari Nakamura
Tomoko Hirozane-Kishikawa
Saeko Kanagawa
Takahiro Arakawa
Juri Takahashi-Iida
Mitsuyoshi Murata
Noriko Ninomiya
Daisuke Sasaki
Shiro Fukuda
Michihira Tagami
Harumi Yamagata
Kanako Kurita
Kozue Kamiya
Mayu Yamamoto
Ari Kikuta
Takahito Bito
Nahoko Fujitsuka
Kazue Ito
Hiroyuki Kanamori
Il-Ryong Choi
Yoshiaki Nagamura
Takashi Matsumoto
Kazuo Murakami
Ken-ichi Matsubara
Piero Carninci
Yoshihide Hayashizaki
Shoshi Kikuchi
spellingShingle Kouji Satoh
Koji Doi
Toshifumi Nagata
Naoki Kishimoto
Kohji Suzuki
Yasuhiro Otomo
Jun Kawai
Mari Nakamura
Tomoko Hirozane-Kishikawa
Saeko Kanagawa
Takahiro Arakawa
Juri Takahashi-Iida
Mitsuyoshi Murata
Noriko Ninomiya
Daisuke Sasaki
Shiro Fukuda
Michihira Tagami
Harumi Yamagata
Kanako Kurita
Kozue Kamiya
Mayu Yamamoto
Ari Kikuta
Takahito Bito
Nahoko Fujitsuka
Kazue Ito
Hiroyuki Kanamori
Il-Ryong Choi
Yoshiaki Nagamura
Takashi Matsumoto
Kazuo Murakami
Ken-ichi Matsubara
Piero Carninci
Yoshihide Hayashizaki
Shoshi Kikuchi
Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
PLoS ONE
author_facet Kouji Satoh
Koji Doi
Toshifumi Nagata
Naoki Kishimoto
Kohji Suzuki
Yasuhiro Otomo
Jun Kawai
Mari Nakamura
Tomoko Hirozane-Kishikawa
Saeko Kanagawa
Takahiro Arakawa
Juri Takahashi-Iida
Mitsuyoshi Murata
Noriko Ninomiya
Daisuke Sasaki
Shiro Fukuda
Michihira Tagami
Harumi Yamagata
Kanako Kurita
Kozue Kamiya
Mayu Yamamoto
Ari Kikuta
Takahito Bito
Nahoko Fujitsuka
Kazue Ito
Hiroyuki Kanamori
Il-Ryong Choi
Yoshiaki Nagamura
Takashi Matsumoto
Kazuo Murakami
Ken-ichi Matsubara
Piero Carninci
Yoshihide Hayashizaki
Shoshi Kikuchi
author_sort Kouji Satoh
title Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
title_short Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
title_full Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
title_fullStr Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
title_full_unstemmed Gene organization in rice revealed by full-length cDNA mapping and gene expression analysis through microarray.
title_sort gene organization in rice revealed by full-length cdna mapping and gene expression analysis through microarray.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2007-11-01
description Rice (Oryza sativa L.) is a model organism for the functional genomics of monocotyledonous plants since the genome size is considerably smaller than those of other monocotyledonous plants. Although highly accurate genome sequences of indica and japonica rice are available, additional resources such as full-length complementary DNA (FL-cDNA) sequences are also indispensable for comprehensive analyses of gene structure and function. We cross-referenced 28.5K individual loci in the rice genome defined by mapping of 578K FL-cDNA clones with the 56K loci predicted in the TIGR genome assembly. Based on the annotation status and the presence of corresponding cDNA clones, genes were classified into 23K annotated expressed (AE) genes, 33K annotated non-expressed (ANE) genes, and 5.5K non-annotated expressed (NAE) genes. We developed a 60mer oligo-array for analysis of gene expression from each locus. Analysis of gene structures and expression levels revealed that the general features of gene structure and expression of NAE and ANE genes were considerably different from those of AE genes. The results also suggested that the cloning efficiency of rice FL-cDNA is associated with the transcription activity of the corresponding genetic locus, although other factors may also have an effect. Comparison of the coverage of FL-cDNA among gene families suggested that FL-cDNA from genes encoding rice- or eukaryote-specific domains, and those involved in regulatory functions were difficult to produce in bacterial cells. Collectively, these results indicate that rice genes can be divided into distinct groups based on transcription activity and gene structure, and that the coverage bias of FL-cDNA clones exists due to the incompatibility of certain eukaryotic genes in bacteria.
url https://doi.org/10.1371/journal.pone.0001235
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