Comparison of wild-type KT2440 and genome-reduced EM42 Pseudomonas putida strains for muconate production from aromatic compounds and glucose.

Pseudomonas putida KT2440 is a robust, aromatic catabolic bacterium that has been widely engineered to convert bio-based and waste-based feedstocks to target products. Towards industrial domestication of P. putida KT2440, rational genome reduction has been previously conducted, resulting in P. putida strain EM42, which exhibited characteristics that could be advantageous for production strains. Here, we compared P. putida KT2440- and EM42-derived strains for cis,cis-muconic acid production from an aromatic compound, p-coumarate, and in separate strains, from glucose. To our surprise, the EM42-derived strains did not outperform the KT2440-derived strains in muconate production from either substrate. In bioreactor cultivations, KT2440- and EM42-derived strains produced muconate from p-coumarate at titers of 45 g/L and 37 g/L, respectively, and from glucose at 20 g/L and 13 g/L, respectively. To provide additional insights about the differences in the parent strains, we analyzed growth profiles of KT2440 and EM42 on aromatic compounds as the sole carbon and energy sources. In general, the EM42 strain exhibited reduced growth rates but shorter growth lags than KT2440. We also observed that EM42-derived strains resulted in higher growth rates on glucose compared to KT2440-derived strains, but only at the lowest glucose concentrations tested. Transcriptomics revealed that genome reduction in EM42 had global effects on transcript levels and showed that the EM42-derived strains that produce muconate from glucose exhibit reduced modulation of gene expression in response to changes in glucose concentrations. Overall, our results highlight that additional studies are warranted to understand the effects of genome reduction on microbial metabolism and physiology, especially when intended for use in production strains.

PeakDecoder enables machine learning-based metabolite annotation and accurate profiling in multidimensional mass spectrometry measurements.

Multidimensional measurements using state-of-the-art separations and mass spectrometry provide advantages in untargeted metabolomics analyses for studying biological and environmental bio-chemical processes. However, the lack of rapid analytical methods and robust algorithms for these heterogeneous data has limited its application. Here, we develop and evaluate a sensitive and high-throughput analytical and computational workflow to enable accurate metabolite profiling. Our workflow combines liquid chromatography, ion mobility spectrometry and data-independent acquisition mass spectrometry with PeakDecoder, a machine learning-based algorithm that learns to distinguish true co-elution and co-mobility from raw data and calculates metabolite identification error rates. We apply PeakDecoder for metabolite profiling of various engineered strains of Aspergillus pseudoterreus, Aspergillus niger, Pseudomonas putida and Rhodosporidium toruloides. Results, validated manually and against selected reaction monitoring and gas-chromatography platforms, show that 2683 features could be confidently annotated and quantified across 116 microbial sample runs using a library built from 64 standards.

Wireless Optogenetic Modulation of Cortical Neurons Enabled by Radioluminescent Nanoparticles.

While offering high-precision control of neural circuits, optogenetics is hampered by the necessity to implant fiber-optic waveguides in order to deliver photons to genetically engineered light-gated neurons in the brain. Unlike laser light, X-rays freely pass biological barriers. Here we show that radioluminescent Gd2(WO4)3:Eu nanoparticles, which absorb external X-rays energy and then downconvert it into optical photons with wavelengths of ∼610 nm, can be used for the transcranial stimulation of cortical neurons expressing red-shifted, ∼590-630 nm, channelrhodopsin ReaChR, thereby promoting optogenetic neural control to the practical implementation of minimally invasive wireless deep brain stimulation.

Evaluation of chromosomal insertion loci in the Pseudomonas putida KT2440 genome for predictable biosystems design.

The development of Pseudomonas strains for industrial production of fuels and chemicals will require the integration of heterologous genes and pathways into the chromosome. Finding the most appropriate integration site to maximize strain performance is an essential part of the strain design process. We characterized seven chromosomal loci in Pseudomonas putida KT2440 for integration of a fluorescent protein expression construct. Insertion in five of the loci did not affect growth rate, but fluorescence varied by up to 27-fold. Three sites displaying a diversity of phenotypes with the fluorescent reporter were also chosen for the integration of a gene encoding a muconate importer. Depending on the integration locus, expression of the importer varied by approximately 3-fold and produced significant phenotypic differences. This work demonstrates the impact of the integration location on host viability, gene expression, and overall strain performance.

Functional Imaging of Microbial Interactions With Tree Roots Using a Microfluidics Setup.

Coupling microfluidics with microscopy has emerged as a powerful approach to study at cellular resolution the dynamics in plant physiology and root-microbe interactions (RMIs). Most devices have been designed to study the model plant Arabidopsis thaliana at higher throughput than conventional methods. However, there is a need for microfluidic devices which enable in vivo studies of root development and RMIs in woody plants. Here, we developed the RMI-chip, a simple microfluidic setup in which Populus tremuloides (aspen tree) seedlings can grow for over a month, allowing continuous microscopic observation of interactions between live roots and rhizobacteria. We find that the colonization of growing aspen roots by Pseudomonas fluorescens in the RMI-chip involves dynamic biofilm formation and dispersal, in keeping with previous observations in a different experimental set-up. Also, we find that whole-cell biosensors based on the rhizobacterium Bacillus subtilis can be used to monitor compositional changes in the rhizosphere but that the application of these biosensors is limited by their efficiency at colonizing aspen roots and persisting. These results indicate that functional imaging of dynamic root-bacteria interactions in the RMI-chip requires careful matching between the host plant and the bacterial root colonizer.

Structural analysis of free and liganded forms of the Fab fragment of a high-affinity anti-cocaine antibody, h2E2.

A high-affinity anti-cocaine monoclonal antibody, designated h2E2, is entering phase 1 clinical trials for cocaine abuse therapy. To gain insight into the molecular details of its structure that are important for binding cocaine and cocaine metabolites, the Fab fragment was generated and crystallized with and without ligand. Structures of the unliganded Fab and the Fab fragment bound to benzoylecgonine were determined, and were compared with each other and with other crystallized anti-cocaine antibodies. The affinity of the h2E2 antibody for cocaine is 4 nM, while that of the cocaine metabolite benzoylecgonine is 20 nM. Both are higher than the reported affinity for cocaine of the two previously crystallized anti-cocaine antibodies. Consistent with cocaine fluorescent quenching binding studies for the h2E2 mAb, four aromatic residues in the CDR regions of the Fab (TyrL32, TyrL96, TrpL91 and TrpH33) were found to be involved in ligand binding. The aromatic side chains surround and trap the tropane moiety of the ligand in the complex structure, forming significant van der Waals interactions which may account for the higher affinity observed for the h2E2 antibody. A water molecule mediates hydrogen bonding between the antibody and the carbonyl group of the benzoyl ester. The affinity of binding to h2E2 of benzoylecgonine differs only by a factor of five compared with that of cocaine; therefore, it is suggested that h2E2 would bind cocaine in the same way as observed in the Fab-benzoylecgonine complex, with minor rearrangements of some hypervariable segments of the antibody.

Particle tracking by repetitive phase-shift interferometric super resolution microscopy.

Accurate and rapid particle tracking is essential for addressing many research problems in single molecule and cellular biophysics and colloidal soft condensed matter physics. We developed a novel three-dimensional interferometric fluorescent particle tracking approach that does not require any sample scanning. By periodically shifting the interferometer phase, the information stored in the interference pattern of the emitted light allows localizing particles positions with nanometer resolution. This tracking protocol was demonstrated by measuring a known trajectory of a fluorescent bead with sub-5 nm axial localization error at 5 Hz. The interferometric microscopy was used to track the RecA protein in Bacillus subtilis bacteria to demonstrate its compatibility with biological systems.

Interaction of antidiabetic α-glucosidase inhibitors and gut bacteria α-glucosidase.

Carbohydrate hydrolyzing α-glucosidases are commonly found in microorganisms present in the human intestine microbiome. We have previously reported crystal structures of an α-glucosidase from the human gut bacterium Blaubia (Ruminococcus) obeum (Ro-αG1) and its substrate preference/specificity switch. This novel member of the GH31 family is a structural homolog of human intestinal maltase-glucoamylase (MGAM) and sucrase-isomaltase (SI) with a highly conserved active site that is predicted to be common in Ro-αG1 homologs among other species that colonize the human gut. In this report, we present structures of Ro-αG1 in complex with the antidiabetic α-glucosidase inhibitors voglibose, miglitol, and acarbose and supporting binding data. The in vitro binding of these antidiabetic drugs to Ro-αG1 suggests the potential for unintended in vivo crossreaction of the α-glucosidase inhibitors to bacterial α-glucosidases that are present in gut microorganism communities. Moreover, analysis of these drug-bound enzyme structures could benefit further antidiabetic drug development.

A New Suite of Plasmid Vectors for Fluorescence-Based Imaging of Root Colonizing Pseudomonads.

In the terrestrial ecosystem, plant-microbe symbiotic associations are ecologically and economically important processes. To better understand these associations at structural and functional levels, different molecular and biochemical tools are applied. In this study, we have constructed a suite of vectors that incorporates several new elements into the rhizosphere stable, broad-host vector pME6031. The new vectors are useful for studies requiring multi-color tagging and visualization of plant-associated, Gram-negative bacterial strains such as Pseudomonas plant growth promotion and biocontrol strains. A number of genetic elements, including constitutive promoters and signal peptides that target secretion to the periplasm, have been evaluated. Several next generation fluorescent proteins, namely mTurquoise2, mNeonGreen, mRuby2, DsRed-Express2 and E2-Crimson have been incorporated into the vectors for whole cell labeling or protein tagging. Secretion of mTurquoise2 and mNeonGreen into the periplasm of Pseudomonas fluorescens SBW25 has also been demonstrated, providing a vehicle for tagging proteins in the periplasmic compartment. A higher copy number version of select plasmids has been produced by introduction of a previously described repA mutation, affording an increase in protein expression levels. The utility of these plasmids for fluorescence-based imaging is demonstrated by root colonization of Solanum lycopersicum seedlings by P. fluorescens SBW25 in a hydroponic growth system. The plasmids are stably maintained during root colonization in the absence of selective pressure for more than 2 weeks.

Fast, Ratiometric FRET from Quantum Dot Conjugated Stabilized Single Chain Variable Fragments for Quantitative Botulinum Neurotoxin Sensing.

Botulinum neurotoxin (BoNT) presents a significant hazard under numerous realistic scenarios. The standard detection scheme for this fast-acting toxin is a lab-based mouse lethality assay that is sensitive and specific, but slow (∼2 days) and requires expert administration. As such, numerous efforts have aimed to decrease analysis time and reduce complexity. Here, we describe a sensitive ratiometric fluorescence resonance energy transfer scheme that utilizes highly photostable semiconductor quantum dot (QD) energy donors and chromophore conjugation to compact, single chain variable antibody fragments (scFvs) to yield a fast, fieldable sensor for BoNT with a 20-40 pM detection limit, toxin quantification, adjustable dynamic range, sensitivity in the presence of interferents, and sensing times as fast as 5 min. Through a combination of mutations, we achieve stabilized scFv denaturation temperatures of more than 60 °C, which bolsters fieldability. We also describe adaptation of the assay into a microarray format that offers persistent monitoring, reuse, and multiplexing.

Analysis of periplasmic sensor domains from Anaeromyxobacter dehalogenans 2CP-C: structure of one sensor domain from a histidine kinase and another from a chemotaxis protein.

Anaeromyxobacter dehalogenans is a δ-proteobacterium found in diverse soils and sediments. It is of interest in bioremediation efforts due to its dechlorination and metal-reducing capabilities. To gain an understanding on A. dehalogenans' abilities to adapt to diverse environments we analyzed its signal transduction proteins. The A. dehalogenans genome codes for a large number of sensor histidine kinases (HK) and methyl-accepting chemotaxis proteins (MCP); among these 23 HK and 11 MCP proteins have a sensor domain in the periplasm. These proteins most likely contribute to adaptation to the organism's surroundings. We predicted their three-dimensional folds and determined the structures of two of the periplasmic sensor domains by X-ray diffraction. Most of the domains are predicted to have either PAS-like or helical bundle structures, with two predicted to have solute-binding protein fold, and another predicted to have a 6-phosphogluconolactonase like fold. Atomic structures of two sensor domains confirmed the respective fold predictions. The Adeh_2942 sensor (HK) was found to have a helical bundle structure, and the Adeh_3718 sensor (MCP) has a PAS-like structure. Interestingly, the Adeh_3718 sensor has an acetate moiety bound in a binding site typical for PAS-like domains. Future work is needed to determine whether Adeh_3718 is involved in acetate sensing by A. dehalogenans.

Bacillus anthracis inosine 5'-monophosphate dehydrogenase in action: the first bacterial series of structures of phosphate ion-, substrate-, and product-bound complexes.

Inosine 5'-monophosphate dehydrogenase (IMPDH) catalyzes the first unique step of the GMP branch of the purine nucleotide biosynthetic pathway. This enzyme is found in organisms of all three kingdoms. IMPDH inhibitors have broad clinical applications in cancer treatment, as antiviral drugs and as immunosuppressants, and have also displayed antibiotic activity. We have determined three crystal structures of Bacillus anthracis IMPDH, in a phosphate ion-bound (termed "apo") form and in complex with its substrate, inosine 5'-monophosphate (IMP), and product, xanthosine 5'-monophosphate (XMP). This is the first example of a bacterial IMPDH in more than one state from the same organism. Furthermore, for the first time for a prokaryotic enzyme, the entire active site flap, containing the conserved Arg-Tyr dyad, is clearly visible in the structure of the apoenzyme. Kinetic parameters for the enzymatic reaction were also determined, and the inhibitory effect of XMP and mycophenolic acid (MPA) has been studied. In addition, the inhibitory potential of two known Cryptosporidium parvum IMPDH inhibitors was examined for the B. anthracis enzyme and compared with those of three bacterial IMPDHs from Campylobacter jejuni, Clostridium perfringens, and Vibrio cholerae. The structures contribute to the characterization of the active site and design of inhibitors that specifically target B. anthracis and other microbial IMPDH enzymes.

Structure of surface layer homology (SLH) domains from Bacillus anthracis surface array protein.

Surface (S)-layers, para-crystalline arrays of protein, are deposited in the envelope of most bacterial species. These surface organelles are retained in the bacterial envelope through the non-covalent association of proteins with cell wall carbohydrates. Bacillus anthracis, a Gram-positive pathogen, produces S-layers of the protein Sap, which uses three consecutive repeats of the surface-layer homology (SLH) domain to engage secondary cell wall polysaccharides (SCWP). Using x-ray crystallography, we reveal here the structure of these SLH domains, which assume the shape of a three-prong spindle. Each SLH domain contributes to a three-helical bundle at the spindle base, whereas another α-helix and its connecting loops generate the three prongs. The inter-prong grooves contain conserved cationic and anionic residues, which are necessary for SLH domains to bind the B. anthracis SCWP. Modeling experiments suggest that the SLH domains of other S-layer proteins also fold into three-prong spindles and capture bacterial envelope carbohydrates by a similar mechanism.

Novel α-glucosidase from human gut microbiome: substrate specificities and their switch.

The human intestine harbors a large number of microbes forming a complex microbial community that greatly affects the physiology and pathology of the host. In the human gut microbiome, the enrichment in certain protein gene families appears to be widespread. They include enzymes involved in carbohydrate metabolism such as glucoside hydrolases of dietary polysaccharides and glycoconjugates. We report the crystal structures (wild type, 2 mutants, and a mutant/substrate complex) and the enzymatic activity of a recombinant α-glucosidase from human gut bacterium Ruminococcus obeum. The first ever protein structures from this bacterium reveal a structural homologue to human intestinal maltase-glucoamylase with a highly conserved catalytic domain and reduced auxiliary domains. The α-glucosidase, a member of GH31 family, shows substrate preference for α(1-6) over α(1-4) glycosidic linkages and produces glucose from isomaltose as well as maltose. The preference can be switched by a single mutation at its active site, suggestive of widespread adaptation to utilization of a variety of polysaccharides by intestinal micro-organisms as energy resources.

Receptor for advanced glycation endproducts mediates neutrophil migration across intestinal epithelium.

Receptor for advanced glycation endproducts (RAGE) is an Ig superfamily cell surface receptor that interacts with a diverse array of ligands associated with inflammatory responses. In this study, we provide evidence demonstrating that RAGE is involved in inflammatory responses in the intestines. We showed that RAGE is expressed in intestinal epithelial cells, primarily concentrated at the lateral membranes close to the apical cell junction complexes. Although RAGE expression was low in epithelium under normal conditions, this protein was up-regulated after treatment with the inflammatory cytokines IFN-gamma and/or TNF-alpha. RAGE expression was also elevated in colon tissue samples from patients with inflammatory bowel diseases. Using in vitro transmigration assays, we found that RAGE mediates neutrophil (polymorphonuclear leukocytes (PMN)) adhesion to, and subsequent migration across, intestinal epithelial monolayers. This activity appears to be mediated by the binding of RAGE to the PMN-specific beta(2) integrin CD11b/CD18. Thus, these results provide a novel mechanism for the regulation of PMN transepithelial migration and may suggest a new therapeutic target for intestinal inflammation.

Comparative analysis of 10 small molecules binding to carbonic anhydrase II by different investigators using Biacore technology.

In this benchmark study, 26 investigators were asked to characterize the kinetics and affinities of 10 sulfonamide inhibitors binding to the enzyme carbonic anhydrase II using Biacore optical biosensors. A majority of the participants collected data that could be fit to a 1:1 interaction model, but a subset of the data sets obtained from some instruments were of poor quality. The experimental errors in the k(a), k(d), and K(D) parameters determined for each of the compounds averaged 34, 24, and 37%, respectively. As expected, the greatest variation in the reported constants was observed for compounds with exceptionally weak affinity and/or fast association rates. The binding constants determined using the biosensor correlated well with solution-based titration calorimetry measurements. The results of this study provide insight into the challenges, as well as the level of experimental variation, that one would expect to observe when using Biacore technology for small molecule analyses.

Primary structure-based function characterization of BRCT domain replicates in BRCA1.

BRCA1 is a large protein that exhibits a multiplicity of functions in its apparent role in DNA repair. Certain mutations of BRCA1 are known to have exceptionally high penetrance with respect to familial breast and ovarian cancers. The structures of the N-terminus and C-terminus of the protein have been determined. The C-terminus unit consists of two alpha-beta-alpha domains designated BRCT. We predicated two homologous BRCT regions in the BRCA1 internal region, and subsequently produced and purified these protein domains. Both recombinant domains show significant self-association capabilities as well as a preferential tendency to interact with each other. These results suggest a possible regulatory mechanism for BRCA1 function. We have demonstrated p53-binding activity by an additional region, and confirmed previous results showing that two regions of BRCA1 protein bind p53 in vitro. Based on sequence analysis, we predict five p53-binding sites. Our comparison of binding by wild-type and mutant domains indicates the sequence specificity of BRCA1-p53 interaction.

Expression and purification of recombinant human receptor for advanced glycation endproducts in Escherichia coli.

The receptor for advanced glycation endproducts (RAGE) is a multiligand receptor that binds a variety of structurally and functionally unrelated ligands, including advanced glycation endproducts (AGEs), amyloid fibrils, amphoterin, and members of the S100 family of proteins. The receptor has been implicated in the pathology of diabetes as well as in inflammatory processes and tumor cell metastasis. For the present study, the extracellular region of RAGE (exRAGE) was expressed as a soluble, C-terminal hexahistidine-tagged fusion protein in the periplasmic space of Escherichia coli. Proper processing and folding of the purified protein, predicted to contain three immunoglobulin-type domains, was supported by the results of electrospray mass spectroscopy and circular dichroism experiments. Sedimentation velocity experiments showed that exRAGE was primarily monomeric in solution. Binding to several RAGE ligands, including AGE-BSA, immunoglobulin light chain amyloid fibrils, and glycosaminoglycans, was demonstrated using pull-down, dot-blot, or enzyme-linked microplate assays. Using surface plasmon resonance, the interaction of exRAGE with AGE-BSA was shown to fit a two-site model, with KD values of 88 nM and 1.4 microM. The E. coli-derived exRAGE did not bind the advanced glycation endproduct Nepsilon-(carboxymethyl)lysine, as reported for the cellular receptor, and the possible role of RAGE glycosylation in recognition of this ligand is discussed. This new RAGE construct will facilitate detailed studies of RAGE-ligand interactions and provides a platform for preparation of site-directed mutants for future structure/function studies.

Analysis of protein-protein interactions by simulation of small-zone gel filtration chromatography.

Small-zone gel filtration chromatography, combined with analytical-scale columns and fast run times, provides a useful system for the study of protein-protein interactions. A computer simulation (SCIMMS, or Simulated Chromatography of Interactive MacroMolecular Systems) that replicates the small-zone behavior of interacting proteins has been developed. The simulation involves an iterative sequence of transport, equilibration, and diffusion steps. This chapter illustrates the use of the simulation to study the homodimerization of rapidly equilibrating immunoglobulin light chain proteins and for determination of association constants. The simulation can also be used to study heterogeneous interactions, kinetically controlled interactions, and higher-order oligomerization, and it can replicate large-zone and Hummel-Dreyer conditions.