Detalle de: The malate sensing two-component system MaeKR is a non-canonical class of sensory complex for C4-dicarboxylates
| Title | The malate sensing two-component system MaeKR is a non-canonical class of sensory complex for C4-dicarboxylates |
| Abstract |
Microbial colonization of different environments is enabled to a great extent by the plasticity of their sensory mechanisms, among them, the two-component signal transduction systems (TCS). Here, an example of TCS plasticity is presented: the regulation of L-malate catabolism via malic enzyme by MaeRK in Lactobacillales . MaeKR belongs to the citrate family of TCS as the Escherichia coli DcuSR system. We show that the Lactobacillus casei histidine-kinase MaeK is defective in autophosphorylation activity as it lacks a functional catalytic and ATP binding domain. The cognate response regulator MaeR was poorly phosphorylated at its phosphoacceptor Asp in vitro . This phosphorylation, however, enhanced MaeR binding in vitro to its target sites and it was required for induction of regulated genes in vivo . Elucidation of the MaeR structure revealed that response regulator dimerization is accomplished by the swapping of α4-β5-α5 elements between two monomers, generating a phosphoacceptor competent conformation. Sequence and phylogenetic analyses showed that the MaeKR peculiarities are not exclusive to L. casei as they are shared by the rest of orthologous systems of Lactobacillales . Our results reveal MaeKR as a non-canonical TCS displaying distinctive features: a swapped response regulator and a sensor histidine kinase lacking ATP-dependent kinase activity. |
| Apa Reference | Miguel-Romero, L., Casino, P., Landete, J.M., Monedero, V., Zúñiga, M. & Marina, A. (2017). The malate sensing two-component system MaeKR is a non-canonical class of sensory complex for C4-dicarboxylates. Scientific Reports, 7(1). 10.1038/s41598-017-02900-z |
| Doi | 10.1038/s41598-017-02900-z |
| Publication Date | 2 Jun 2017 |
| Publication Type | Article |
| Researcher | José María Landete Iranzo |
| Ontology | Model organisms, Phylogenetic Analysis |
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