Dataset Information

Transcriptome map of plant mitochondria reveals islands of unexpected transcribed regions.

ABSTRACT:

Background

Plant mitochondria contain a relatively large amount of genetic information, suggesting that their functional regulation may not be as straightforward as that of metazoans. We used a genomic tiling array to draw a transcriptomic atlas of Oryza sativa japonica (rice) mitochondria, which was predicted to be approximately 490-kb long.

Results

Whereas statistical analysis verified the transcription of all previously known functional genes such as the ones related to oxidative phosphorylation, a similar extent of RNA expression was frequently observed in the inter-genic regions where none of the previously annotated genes are located. The newly identified open reading frames (ORFs) predicted in these transcribed inter-genic regions were generally not conserved among flowering plant species, suggesting that these ORFs did not play a role in mitochondrial principal functions. We also identified two partial fragments of retrotransposon sequences as being transcribed in rice mitochondria.

Conclusion

The present study indicated the previously unexpected complexity of plant mitochondrial RNA metabolism. Our transcriptomic data (Oryza sativa Mitochondrial rna Expression Server: OsMES) is publicly accessible at [http://bioinf.mind.meiji.ac.jp/cgi-bin/gbrowse/OsMes/#search].

SUBMITTER: Fujii S

PROVIDER: S-EPMC3121727 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Publications

Transcriptome map of plant mitochondria reveals islands of unexpected transcribed regions.

Fujii Sota S Toda Takushi T Kikuchi Shunsuke S Suzuki Ryutaro R Yokoyama Koji K Tsuchida Hiroko H Yano Kentaro K Toriyama Kinya K

BMC genomics 20110601

<h4>Background</h4>Plant mitochondria contain a relatively large amount of genetic information, suggesting that their functional regulation may not be as straightforward as that of metazoans. We used a genomic tiling array to draw a transcriptomic atlas of Oryza sativa japonica (rice) mitochondria, which was predicted to be approximately 490-kb long.<h4>Results</h4>Whereas statistical analysis verified the transcription of all previously known functional genes such as the ones related to oxidati ...[more]

PMID: 21627843

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Project description:Understanding interactions between native and invasive plant species in field settings and quantifying the impact of invaders in heterogeneous native ecosystems requires resolving the spatial scale on which these processes take place. Therefore, functional tracers are needed that enable resolving the alterations induced by exotic plant invasion in contrast to natural variation in a spatially explicit way. 15N isoscapes, i.e., spatially referenced representations of stable nitrogen isotopic signatures, have recently provided such a tracer. However, different processes, e.g. water, nitrogen or carbon cycles, may be affected at different spatial scales. Thus multi-isotope studies, by using different functional tracers, can potentially return a more integrated picture of invader impact. This is particularly true when isoscapes are submitted to statistical methods suitable to find homogeneous subgroups in multivariate data such as cluster analysis. Here, we used model-based clustering of spatially explicit foliar δ15N and δ13C isoscapes together with N concentration of a native indicator species, Corema album, to map regions of influence in a Portuguese dune ecosystem invaded by the N2-fixing Acacia longifolia. Cluster analysis identified regions with pronounced alterations in N budget and water use efficiency in the native species, with a more than twofold increase in foliar N, and δ13C and δ15N enrichment of up to 2‰ and 8‰ closer to the invader, respectively. Furthermore, clusters of multiple functional tracers indicated a spatial shift from facilitation through N addition in the proximity of the invader to competition for resources other than N in close contact. Finding homogeneous subgroups in multi-isotope data by means of model-based cluster analysis provided an effective tool for detecting spatial structure in processes affecting plant physiology and performance. The proposed method can give an objective measure of the spatial extent of influence of plant-plant interactions, thus improving our understanding of spatial pattern and interactions in plant communities.

Dataset Information

Transcriptome map of plant mitochondria reveals islands of unexpected transcribed regions.

Background

Results

Conclusion

Publications

Transcriptome map of plant mitochondria reveals islands of unexpected transcribed regions.

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