Use este identificador para citar ou linkar para este item: https://locus.custom.ufv.br//handle/123456789/23953
Tipo: Artigo
Título: Data-mining bioinformatics: connecting adenylate transport and metabolic responses to stress
Autor(es): Fonseca-Pereira, Paula da
Neri-Silva, Roberto
Cavalcanti, João Henrique F.
Brito, Danielle S.
Weber, Andreas P. M.
Araújo, Wagner L.
Nunes-Nesi, Adriano
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.
Palavras-chave: Adenylate carriers
Expression analysis
Stress response
Systems biology
Editor: Trends in Plant Science
Tipo de Acesso: Elsevier B. V.
URI: https://doi.org/10.1016/j.tplants.2018.09.002
http://www.locus.ufv.br/handle/123456789/23953
Data do documento: Nov-2018
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