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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2012
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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. |
format | Online Article Text |
id | pubmed-3490059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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