Literature DB >> 33255472

The Phosphoglycerate Kinase (PGK) Gene Family of Maize (Zea mays var. B73).

Julio A Massange-Sánchez1,2, Luz E Casados-Vázquez1,3, Sheila Juarez-Colunga1, Ruairidh J H Sawers4, Axel Tiessen1,5.   

Abstract

Phosphoglycerate kinase (PGK, E.C. 2.7.2.3) interconverts ADP + 1,3-bisphospho-glycerate (1,3-bPGA) to ATP + 3-phosphoglycerate (3PGA). While most bacteria have a single pgk gene and mammals possess two copies, plant genomes contain three or more PGK genes. In this study, we identified five Pgk genes in the Zea mays var. B73 genome, predicted to encode proteins targeted to different subcellular compartments: ZmPgk1, ZmPgk2, and ZmPgk4 (chloroplast), ZmPgk3 (cytosol), and ZmPgk5 (nucleus). The expression of ZmPgk3 was highest in non-photosynthetic tissues (roots and cobs), where PGK activity was also greatest, consistent with a function in glycolysis. Green tissues (leaf blade and husk leaf) showed intermediate levels of PGK activity, and predominantly expressed ZmPgk1 and ZmPgk2, suggesting involvement in photosynthetic metabolism. ZmPgk5 was weakly expressed and ZmPgk4 was not detected in any tissue. Phylogenetic analysis showed that the photosynthetic and glycolytic isozymes of plants clustered together, but were distinct from PGKs of animals, fungi, protozoa, and bacteria, indicating that photosynthetic and glycolytic isozymes of plants diversified after the divergence of the plant lineage from other groups. These results show the distinct role of each PGK in maize and provide the basis for future studies into the regulation and function of this key enzyme.

Entities:  

Keywords:  Zea mays; gene expression; gene family; phosphoglycerate kinase; phylogeny

Year:  2020        PMID: 33255472      PMCID: PMC7761438          DOI: 10.3390/plants9121639

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  64 in total

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  4 in total

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Journal:  Plants (Basel)       Date:  2022-01-18

3.  Involvement of Phospholipase C in Photosynthesis and Growth of Maize Seedlings.

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4.  Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.

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  4 in total

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