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© Research
Publication : International journal of molecular sciences

Molecular Cloning and Exploration of the Biochemical and Functional Analysis of Recombinant Glucose-6-Phosphate Dehydrogenase from Gluconoacetobacter diazotrophicus PAL5.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in International journal of molecular sciences - 24 Oct 2019

Ramírez-Nava EJ, Ortega-Cuellar D, González-Valdez A, Castillo-Rodríguez RA, Ponce-Soto GY, Hernández-Ochoa B, Cárdenas-Rodríguez N, Martínez-Rosas V, Morales-Luna L, Serrano-Posada H, Sierra-Palacios E, Arreguin-Espinosa R, Cuevas-Cruz M, Rocha-Ramírez LM, Pérez de la Cruz V, Marcial-Quino J, Gómez-Manzo S

Link to Pubmed [PMID] – 31652968

Link to DOI – 10.3390/ijms20215279

Int J Mol Sci 2019 Oct; 20(21):

Gluconacetobacter diazotrophicus PAL5 (GDI) is an endophytic bacterium with potential biotechnological applications in industry and agronomy. The recent description of its complete genome and its principal metabolic enzymes suggests that glucose metabolism is accomplished through the pentose phosphate pathway (PPP); however, the enzymes participating in this pathway have not yet been characterized in detail. The objective of the present work was to clone, purify, and biochemically and physicochemically characterize glucose-6-phosphate dehydrogenase (G6PD) from GDI. The gene was cloned and expressed as a tagged protein in E. coli to be purified by affinity chromatography. The native state of the G6PD protein in the solution was found to be a tetramer with optimal activity at pH 8.8 and a temperature between 37 and 50 °C. The apparent Km values for G6P and nicotinamide adenine dinucleotide phosphate (NADP+) were 63 and 7.2 μM, respectively. Finally, from the amino acid sequence a three-dimensional (3D) model was obtained, which allowed the arrangement of the amino acids involved in the catalytic activity, which are conserved (RIDHYLGKE, GxGGDLT, and EKPxG) with those of other species, to be identified. This characterization of the enzyme could help to identify new environmental conditions for the knowledge of the plant-microorganism interactions and a better use of GDI in new technological applications.