BenM, a LysR-type transcriptional regulator (LTTR) from the bacterium Acinetobacter baylyi, responds synergistically to benzoate and cis,cis-muconate. With these effectors, BenM activates gene expression during benzoate consumption. Without effectors, BenM represses transcription. Here, X-ray crystallography was used to determine the full-length structures of BenM and two variants that activate transcription without benzoate or cis,cis-muconate: BenM(R156H) and BenM(E226K). Previous studies indicate that these regulators function as tetramers. Here, interconnections between subunits in the crystals prevented the formation of a closed oligomer and highlighted the inherent flexibility of this multidomain regulator. Nevertheless, analysis of subunit interfaces suggested the functional significance of key interactions. The structures of BenM and its variants were nearly identical, implying that transcriptional differences rely on factors beyond major conformational changes defined solely by sequence. Comparisons of BenM with other LTTRs, including unpublished structures in the Protein Data Bank, revealed extensive variation in the relative orientations of DNA-binding domains (DBDs) and effector-binding domains (EBDs). To form dimers, different LTTRs used similar interfaces between two EBDs, each containing two subdomains: EBD-I and EBD-II. Surprisingly, the dimers used three substantially different schemes to form higher-order oligomers. In one scheme used by BenM, oligomer assembly involved contacts between the EBD-II regions and the DBD regions of adjacent subunits. In another scheme, there were no contacts between the EBDs; only the DBDs were involved in tetramer formation. In the third scheme, the oligomer interface involved DBD and EBD-I/EBD-II contacts. These diverse schemes demonstrate novel variation in the oligomeric structures of individual LTTRs within this large and important family.
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http://dx.doi.org/10.1016/j.jmb.2010.09.053 | DOI Listing |
Comput Struct Biotechnol J
December 2024
Department of Chemical Engineering and Applied Chemistry, University of Toronto, Ontario, Canada.
Transcription factor (TF)-based biosensors that connect small-molecule sensing with readouts such as fluorescence have proven to be useful synthetic biology tools for applications in biotechnology. However, the development of specific TF-based biosensors is hindered by the limited repertoire of TFs specific for molecules of interest since current construction methods rely on a limited set of characterized TFs. In this study, we present an approach for engineering the specificity of TFs through a computation-based workflow using molecular docking that enables targeted alteration of TF ligand specificity.
View Article and Find Full Text PDFBiosens Bioelectron
February 2023
Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China; National Technology Innovation Center of Synthetic Biology, Tianjin, 300308, China.
Whole-cell biosensors based on transcriptional regulators are powerful tools for rapid measurement, high-throughput screening, dynamic metabolic regulation, etc. To optimize the biosensing performance of transcriptional regulator, its effector-binding domain is commonly engineered. However, this strategy is encumbered by the limitation of diversifying such a large domain and the risk of affecting effector specificity.
View Article and Find Full Text PDFJ Mol Biol
September 2022
Department of Physics, University of York, UK. Electronic address:
The family of coarse-grained models for protein dynamics known as Elastic Network Models (ENMs) require careful choice of parameters to represent well experimental measurements or fully-atomistic simulations. The most basic ENM that represents each protein residue by a node at the position of its C-alpha atom, all connected by springs of equal stiffness, up to a cut-off in distance. Even at this level a choice is required of the optimum cut-off distance and the upper limit of elastic normal modes taken in any sum for physical properties, such as dynamic correlation or allosteric effects on binding.
View Article and Find Full Text PDFNucleic Acids Res
January 2020
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark.
Allosteric transcription factors (aTFs) have proven widely applicable for biotechnology and synthetic biology as ligand-specific biosensors enabling real-time monitoring, selection and regulation of cellular metabolism. However, both the biosensor specificity and the correlation between ligand concentration and biosensor output signal, also known as the transfer function, often needs to be optimized before meeting application needs. Here, we present a versatile and high-throughput method to evolve prokaryotic aTF specificity and transfer functions in a eukaryote chassis, namely baker's yeast Saccharomyces cerevisiae.
View Article and Find Full Text PDFAromatic compounds are a common carbon and energy source for many microorganisms, some of which can even degrade toxic chloroaromatic xenobiotics. This comparative study of aromatic metabolism in 32 Betaproteobacteria species describes the links between several transcription factors (TFs) that control benzoate (BenR, BenM, BoxR, BzdR), catechol (CatR, CatM, BenM), chlorocatechol (ClcR), methylcatechol (MmlR), 2,4-dichlorophenoxyacetate (TfdR, TfdS), phenol (AphS, AphR, AphT), biphenyl (BphS), and toluene (TbuT) metabolism. We characterize the complexity and variability in the organization of aromatic metabolism operons and the structure of regulatory networks that may differ even between closely related species.
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