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Computational predictions of common transcription factor binding sites on the genes of proline metabolism in plants
Authors:Usha Kiran   Malik Zainul Abdin
Affiliation:1Faculty of Interdisciplinary Research Studies, Jamia Hamdard, New Delhi-110062, India;2Department of Biotechnology, Faculty of Science, Jamia Hamdard, New Delhi-110062, India
Abstract:Proline, an imino acid, has been well documented to be associated with the stress response induced by abiotic factors such asdrought, cold and salinity in plants and biotic factors such as bacterial and fungal attacks. However, the regulatory mechanismscontrolling proline metabolism, intercellular and intracellular transport and connections of proline to other metabolic pathways arepoorly understood. F-MATCH analysis combined with composite module analysis (CMA) revealed that the binding sites matchingmatrices for O2 and OCSBF-1 were overrepresented in the promoters of differentially expressed proline metabolism genes. Thepresence of MYBAS1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promoters of genes of prolinebiosynthesis pathway and SBF1 and GT1 consensus binding sites occurring in combination with O2 and OCSBF1 in the promotersof proline catabolic pathway genes suggest their involvement in modulation of proline metabolism and its accumulation in plants.
Keywords:Proline   Stress   Composite module analysis   Promoter   Transcription factor binding sites
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