The Protein-Protein Interaction Network Reveals a Novel Role of the Signal Transduction Protein PII in the Control of c-di-GMP Homeostasis in Azospirillum brasilense

Author:

Gerhardt Edileusa C. M.1,Parize Erick1ORCID,Gravina Fernanda1,Pontes Flávia L. D.1,Santos Adrian R. S.1,Araújo Gillize A. T.1,Goedert Ana C.1,Urbanski Alysson H.1,Steffens Maria B. R.1,Chubatsu Leda S.1,Pedrosa Fabio O.1,Souza Emanuel M.1,Forchhammer Karl2,Ganusova Elena3,Alexandre Gladys3ORCID,de Souza Gustavo A.45,Huergo Luciano F.16ORCID

Affiliation:

1. Departamento de Bioquímica e Biologia Molecular, UFPR Curitiba, Curitiba, PR, Brazil

2. Interfakultäres Institut für Mikrobiologie und Infektionsmedizin der Eberhard-Karls Universität Tübingen, Tübingen, Germany

3. Department of Biochemistry, Cellular & Molecular Biology, The University of Tennessee, Knoxville, Tennessee, USA

4. Departamento de Bioquímica, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil

5. Bioinformatics Multidisciplinary Environment, UFRN, Natal, Brazil

6. Setor Litoral, UFPR Matinhos, Curitiba, PR, Brazil

Abstract

The PII proteins sense and integrate important metabolic signals which reflect the cellular nutrition and energy status. Such extraordinary ability was capitalized by nature in such a way that the various PII proteins regulate different facets of metabolism by controlling the activity of a range of target proteins by protein-protein interactions. Here, we determined the PII protein interaction network in the plant growth-promoting nitrogen-fixing bacterium Azospirillum brasilense . The interactome data along with metabolome analysis suggest that PII functions as a master metabolic regulator hub. We provide evidence that PII proteins act to regulate c-di-GMP levels in vivo and cell motility and adherence behaviors.

Funder

National Science Foundation

MCTI | Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Alexander von Humboldt-Stiftung

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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