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Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature

BACKGROUND: Abiotic stress, including low temperature, limits the productivity and geographical distribution of plants, which has led to significant interest in understanding the complex processes that allow plants to adapt to such stresses. The wide range of physiological, biochemical and molecular...

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Autores principales: Robinson, Stephen J, Parkin, Isobel AP
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2568001/
https://www.ncbi.nlm.nih.gov/pubmed/18808718
http://dx.doi.org/10.1186/1471-2164-9-434
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author Robinson, Stephen J
Parkin, Isobel AP
author_facet Robinson, Stephen J
Parkin, Isobel AP
author_sort Robinson, Stephen J
collection PubMed
description BACKGROUND: Abiotic stress, including low temperature, limits the productivity and geographical distribution of plants, which has led to significant interest in understanding the complex processes that allow plants to adapt to such stresses. The wide range of physiological, biochemical and molecular changes that occur in plants exposed to low temperature require a robust global approach to studying the response. We have employed Serial Analysis of Gene Expression (SAGE) to uncover changes in the transcriptome of Arabidopsis thaliana over a time course of low temperature stress. RESULTS: Five SAGE libraries were generated from A. thaliana leaf tissue collected at time points ranging from 30 minutes to one week of low temperature treatment (4°C). Over 240,000 high quality SAGE tags, corresponding to 16,629 annotated genes, provided a comprehensive survey of changes in the transcriptome in response to low temperature, from perception of the stress to acquisition of freezing tolerance. Interpretation of these data was facilitated by representing the SAGE data by gene identifier, allowing more robust statistical analysis, cross-platform comparisons and the identification of genes sharing common expression profiles. Simultaneous statistical calculations across all five libraries identified 920 low temperature responsive genes, only 24% of which overlapped with previous global expression analysis performed using microarrays, although similar functional categories were affected. Clustering of the differentially regulated genes facilitated the identification of novel loci correlated with the development of freezing tolerance. Analysis of their promoter sequences revealed subsets of genes that were independent of CBF and ABA regulation and could provide a mechanism for elucidating complementary signalling pathways. The SAGE data emphasised the complexity of the plant response, with alternate pre-mRNA processing events increasing at low temperatures and antisense transcription being repressed. CONCLUSION: Alternate transcript processing appears to play an important role in enhancing the plasticity of the stress induced transcriptome. Novel genes and cis-acting sequences have been identified as compelling targets to allow manipulation of the plant's ability to protect against low temperature stress. The analyses performed provide a contextual framework for the interpretation of quantitative sequence tag based transcriptome analysis which will prevail with the application of next generation sequencing technology.
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spelling pubmed-25680012008-10-16 Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature Robinson, Stephen J Parkin, Isobel AP BMC Genomics Research Article BACKGROUND: Abiotic stress, including low temperature, limits the productivity and geographical distribution of plants, which has led to significant interest in understanding the complex processes that allow plants to adapt to such stresses. The wide range of physiological, biochemical and molecular changes that occur in plants exposed to low temperature require a robust global approach to studying the response. We have employed Serial Analysis of Gene Expression (SAGE) to uncover changes in the transcriptome of Arabidopsis thaliana over a time course of low temperature stress. RESULTS: Five SAGE libraries were generated from A. thaliana leaf tissue collected at time points ranging from 30 minutes to one week of low temperature treatment (4°C). Over 240,000 high quality SAGE tags, corresponding to 16,629 annotated genes, provided a comprehensive survey of changes in the transcriptome in response to low temperature, from perception of the stress to acquisition of freezing tolerance. Interpretation of these data was facilitated by representing the SAGE data by gene identifier, allowing more robust statistical analysis, cross-platform comparisons and the identification of genes sharing common expression profiles. Simultaneous statistical calculations across all five libraries identified 920 low temperature responsive genes, only 24% of which overlapped with previous global expression analysis performed using microarrays, although similar functional categories were affected. Clustering of the differentially regulated genes facilitated the identification of novel loci correlated with the development of freezing tolerance. Analysis of their promoter sequences revealed subsets of genes that were independent of CBF and ABA regulation and could provide a mechanism for elucidating complementary signalling pathways. The SAGE data emphasised the complexity of the plant response, with alternate pre-mRNA processing events increasing at low temperatures and antisense transcription being repressed. CONCLUSION: Alternate transcript processing appears to play an important role in enhancing the plasticity of the stress induced transcriptome. Novel genes and cis-acting sequences have been identified as compelling targets to allow manipulation of the plant's ability to protect against low temperature stress. The analyses performed provide a contextual framework for the interpretation of quantitative sequence tag based transcriptome analysis which will prevail with the application of next generation sequencing technology. BioMed Central 2008-09-22 /pmc/articles/PMC2568001/ /pubmed/18808718 http://dx.doi.org/10.1186/1471-2164-9-434 Text en Copyright © 2008 Robinson and Parkin; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Robinson, Stephen J
Parkin, Isobel AP
Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title_full Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title_fullStr Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title_full_unstemmed Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title_short Differential SAGE analysis in Arabidopsis uncovers increased transcriptome complexity in response to low temperature
title_sort differential sage analysis in arabidopsis uncovers increased transcriptome complexity in response to low temperature
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2568001/
https://www.ncbi.nlm.nih.gov/pubmed/18808718
http://dx.doi.org/10.1186/1471-2164-9-434
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