201. Data-Mining Bioinformatics: Connecting Adenylate Transport and Metabolic Responses to Stress
- Author
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Wagner L. Araújo, João Henrique F. Cavalcanti, Roberto Neri-Silva, Paula da Fonseca-Pereira, Andreas P.M. Weber, Adriano Nunes-Nesi, and Danielle Santos Brito
- Subjects
0106 biological sciences ,0301 basic medicine ,Adenylate kinase ,Adenylate carriers ,Photophosphorylation ,Plant Science ,Oxidative phosphorylation ,Mitochondrion ,Biology ,Bioinformatics ,01 natural sciences ,Expression analysis ,03 medical and health sciences ,Adenine nucleotide ,Organelle ,Data Mining ,heterocyclic compounds ,Adenine Nucleotides ,Stress response ,Systems Biology ,food and beverages ,Computational Biology ,Chloroplast ,030104 developmental biology ,Systems biology ,Intracellular ,010606 plant biology & botany - Abstract
Adenine nucleotides are essential in countless processes within the cellular metabolism. In plants, ATP is mainly produced in chloroplasts and mitochondria through photophosphorylation and oxidative phosphorylation, respectively. Thus, efficient adenylate transport systems are required for intracellular energy partitioning between the cell organelles. Adenylate carriers present in different subcellular compartments have been previously identified and biochemically characterized in plants. Here, by using data-mining bioinformatics tools, we propose how, and to what extent, these carriers integrate energy metabolism within a plant cell under different environmental conditions. We demonstrate that the expression pattern of the corresponding genes is variable under different environmental conditions, suggesting that specific adenylate carriers have distinct and nonredundant functions in plants.
- Published
- 2018