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Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants

Proline, an imino acid, has been well documented to be associated with the stress response induced by abiotic factors such as drought, cold and salinity in plants and biotic factors such as bacterial and fungal attacks. However, the regulatory mechanisms controlling proline metabolism, intercellular...

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Detalles Bibliográficos
Autores principales: Kiran, Usha, Abdin, Malik Zainul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490059/
https://www.ncbi.nlm.nih.gov/pubmed/23144545
http://dx.doi.org/10.6026/97320630008886
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author Kiran, Usha
Abdin, Malik Zainul
author_facet Kiran, Usha
Abdin, Malik Zainul
author_sort Kiran, Usha
collection PubMed
description Proline, an imino acid, has been well documented to be associated with the stress response induced by abiotic factors such as drought, cold and salinity in plants and biotic factors such as bacterial and fungal attacks. However, the regulatory mechanisms controlling proline metabolism, intercellular and intracellular transport and connections of proline to other metabolic pathways are poorly understood. F-MATCH analysis combined with composite module analysis (CMA) revealed that the binding sites matching matrices for O2 and OCSBF-1 were overrepresented in the promoters of differentially expressed proline metabolism genes. The presence of MYBAS1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of genes of proline biosynthesis pathway and SBF1 and GT1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of proline catabolic pathway genes suggest their involvement in modulation of proline metabolism and its accumulation in plants.
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spelling pubmed-34900592012-11-09 Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants Kiran, Usha Abdin, Malik Zainul Bioinformation Hypothesis Proline, an imino acid, has been well documented to be associated with the stress response induced by abiotic factors such as drought, cold and salinity in plants and biotic factors such as bacterial and fungal attacks. However, the regulatory mechanisms controlling proline metabolism, intercellular and intracellular transport and connections of proline to other metabolic pathways are poorly understood. F-MATCH analysis combined with composite module analysis (CMA) revealed that the binding sites matching matrices for O2 and OCSBF-1 were overrepresented in the promoters of differentially expressed proline metabolism genes. The presence of MYBAS1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of genes of proline biosynthesis pathway and SBF1 and GT1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of proline catabolic pathway genes suggest their involvement in modulation of proline metabolism and its accumulation in plants. Biomedical Informatics 2012-09-21 /pmc/articles/PMC3490059/ /pubmed/23144545 http://dx.doi.org/10.6026/97320630008886 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Kiran, Usha
Abdin, Malik Zainul
Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title_full Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title_fullStr Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title_full_unstemmed Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title_short Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
title_sort computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3490059/
https://www.ncbi.nlm.nih.gov/pubmed/23144545
http://dx.doi.org/10.6026/97320630008886
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