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A microarray analysis of the rice transcriptome and its comparison to Arabidopsis.

ABSTRACT: Arabidopsis and rice are the only two model plants whose finished phase genome sequence has been completed. Here we report the construction of an oligomer microarray based on the presently known and predicted gene models in the rice genome. This microarray was used to analyze the transcriptional activity of the gene models in representative rice organ types. Expression of 86% of the 41,754 known and predicted gene models was detected. A significant fraction of these expressed gene models are organized into chromosomal regions, about 100 kb in length, that exhibit a coexpression pattern. Compared with similar genome-wide surveys of the Arabidopsis transcriptome, our results indicate that similar proportions of the two genomes are expressed in their corresponding organ types. A large percentage of the rice gene models that lack significant Arabidopsis homologs are expressed. Furthermore, the expression patterns of rice and Arabidopsis best-matched homologous genes in distinct functional groups indicate dramatic differences in their degree of conservation between the two species. Thus, this initial comparative analysis reveals some basic similarities and differences between the Arabidopsis and rice transcriptomes.

SUBMITTER: Ma L

PROVIDER: S-EPMC1199542 | biostudies-literature | 2005 Sep

REPOSITORIES: biostudies-literature

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A microarray analysis of the rice transcriptome and its comparison to Arabidopsis.

Ma Ligeng L Chen Chen C Liu Xigang X Jiao Yuling Y Su Ning N Li Lin L Wang Xiangfeng X Cao Mengliang M Sun Ning N Zhang Xiuqing X Bao Jingyue J Li Jian J Pedersen Soren S Bolund Lars L Zhao Hongyu H Yuan Longping L Wong Gane Ka-Shu GK Wang Jun J Deng Xing Wang XW Wang Jian J

Genome research 20050901 9

Arabidopsis and rice are the only two model plants whose finished phase genome sequence has been completed. Here we report the construction of an oligomer microarray based on the presently known and predicted gene models in the rice genome. This microarray was used to analyze the transcriptional activity of the gene models in representative rice organ types. Expression of 86% of the 41,754 known and predicted gene models was detected. A significant fraction of these expressed gene models are org ...[more]

PMID: 16140994

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Project description:BackgroundAt the moment, there are a number of publications describing gene expression profiling in virus-infected plants. Most of the data are limited to specific host-pathogen interactions involving a given virus and a model host plant - usually Arabidopsis thaliana. Even though several summarizing attempts have been made, a general picture of gene expression changes in susceptible virus-host interactions is lacking.MethodsTo analyze transcriptome response to virus infection, we have assembled currently available microarray data on changes in gene expression levels in compatible Arabidopsis-virus interactions. We used the mean r (Pearson's correlation coefficient) for neighboring pairs to estimate pairwise local similarity in expression in the Arabidopsis genome.ResultsHere we provide a functional classification of genes with altered expression levels. We also demonstrate that responsive genes may be grouped or clustered based on their co-expression pattern and chromosomal location.ConclusionsIn summary, we found that there is a greater variety of upregulated genes in the course of viral pathogenesis as compared to repressed genes. Distribution of the responsive genes in combined viral databases differed from that of the whole Arabidopsis genome, thus underlining a role of the specific biological processes in common mechanisms of general resistance against viruses and in physiological/cellular changes caused by infection. Using integrative platforms for the analysis of gene expression data and functional profiling, we identified overrepresented functional groups among activated and repressed genes. Each virus-host interaction is unique in terms of the genes with altered expression levels and the number of shared genes affected by all viruses is very limited. At the same time, common genes can participate in virus-, fungi- and bacteria-host interaction. According to our data, non-homologous genes that are located in close proximity to each other on the chromosomes, and whose expression profiles are modified as a result of the viral infection, occupy 12% of the genome. Among them 5% form co-expressed and co-regulated clusters.

Dataset Information

A microarray analysis of the rice transcriptome and its comparison to Arabidopsis.

Publications

A microarray analysis of the rice transcriptome and its comparison to Arabidopsis.

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