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Data-Mining Bioinformatics: Connecting Adenylate Transport and Metabolic Responses to Stress

期刊

TRENDS IN PLANT SCIENCE
卷 23, 期 11, 页码 961-974

出版社

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tplants.2018.09.002

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资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [306818/2016-7, 402511/2016-6]
  2. Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG) [APQ-02985-14, APQ-01078-15, RED-00053-16]
  3. Max Planck Society
  4. CNPq
  5. Agency for the Support and Evaluation of Graduate Education (CAPES-Brazil)
  6. FAPEMIG [BDP-00018-16]
  7. CAPES-Brazil
  8. [CRC 1208]
  9. [EXC 1028]

向作者/读者索取更多资源

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.

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