Characterization of ConE, the VirB4 Homolog of the Integrative and Conjugative Element ICEBs1 of Bacillus subtilis.

Conjugation is a major form of horizontal gene transfer, contributing to bacterial evolution and the acquisition of new traits. During conjugation, a donor cell transfers DNA to a recipient through a specialized DNA translocation channel classified as a type IV secretion system (T4SS). Here, we focused on the T4SS of ICEBs1, an integrative and conjugative element in Bacillus subtilis. ConE, encoded by ICEBs1, is a member of the VirB4 family of ATPases, the most conserved component of T4SSs. ConE is required for conjugation and localizes to the cell membrane, predominantly at the cell poles. In addition to Walker A and B boxes, VirB4 homologs have conserved ATPase motifs C, D, and E. Here, we created alanine substitutions in five conserved residues within or near ATPase motifs in ConE. Mutations in all five residues drastically decreased conjugation frequency but did not affect ConE protein levels or localization, indicating that an intact ATPase domain is critical for DNA transfer. Purified ConE is largely monomeric with some oligomers and lacks enzymatic activity, suggesting that ATP hydrolysis may be regulated or require special solution conditions. Finally, we investigated which ICEBs1 T4SS components interact with ConE using a bacterial two-hybrid assay. ConE interacts with itself, ConB, and ConQ, but these interactions are not required to stabilize ConE protein levels and largely do not depend on conserved residues within the ATPase motifs of ConE. The structure-function characterization of ConE provides more insight into this conserved component shared by all T4SSs. IMPORTANCE Conjugation is a major form of horizontal gene transfer and involves the transfer of DNA from one bacterium to another through the conjugation machinery. Conjugation contributes to bacterial evolution by disseminating genes involved in antibiotic resistance, metabolism, and virulence. Here, we characterized ConE, a protein component of the conjugation machinery of the conjugative element ICEBs1 of the bacterium Bacillus subtilis. We found that mutations in the conserved ATPase motifs of ConE disrupt mating but do not alter ConE localization, self-interaction, or levels. We also explored which conjugation proteins ConE interacts with and whether these interactions contribute to stabilizing ConE. Our work contributes to the understanding of the conjugative machinery of Gram-positive bacteria.

In Silico Prediction of Diffusion Interaction Parameter (kD), a Key Indicator of Antibody Solution Behaviors.

PURPOSE: To develop resource-sparing in silico approaches that aim to reduce experimental effort and material required by developability assessments (DA) of monoclonal antibody (mAb) drug candidates. METHODS: A battery of standardized biophysical experiments was performed on high concentration formulations of 16 drug product development stage mAbs using a platform buffer. Full-length molecular models of these mAbs were also generated via molecular modeling. These models were used to computationally estimate molecular descriptors of these 16 mAbs. Pairwise and multi-parameter correlations among experimentally measured biophysical attributes and calculated molecular descriptors were obtained via statistical analyses. RESULTS: Diffusion interaction parameter (kD) showed statistically significant pairwise correlations (p-values <0.005) with thermal stability, viscosity, isoelectric point, and apparent solubility of the antibodies in our dataset. kD also showed statistically significant pairwise correlations (p-values <0.005) with several computationally calculated molecular descriptors (pI, net charge, charge on the Fv region, and zeta potential.) These pairwise correlations were further refined by multivariate analyses. These analyses yielded several useful equations for prediction of kD from antibody sequences, structural models, and experimentally measured biophysical attributes. CONCLUSIONS: Diffusion interaction parameter (kD) was found to be a key biophysical property for the mAbs in our dataset. It connects conformational heterogeneity of an antibody with its colloidal and rheological behaviors. The equations derived in this work shall enable rapid, resource-sparing, and cost-effective DAs of biologic drug candidates.

In-silico prediction of concentration-dependent viscosity curves for monoclonal antibody solutions.

Early stage developability assessments of monoclonal antibody (mAb) candidates can help reduce risks and costs associated with their product development. Forecasting viscosity of highly concentrated mAb solutions is an important aspect of such developability assessments. Reliable predictions of concentration-dependent viscosity behaviors for mAb solutions in platform formulations can help screen or optimize drug candidates for flexible manufacturing and drug delivery options. Here, we present a computational method to predict concentration-dependent viscosity curves for mAbs solely from their sequence-structural attributes. This method was developed using experimental data on 16 different mAbs whose concentration-dependent viscosity curves were experimentally obtained under standardized conditions. Each concentration-dependent viscosity curve was fitted with a straight line, via logarithmic manipulations, and the values for intercept and slope were obtained. Intercept, which relates to antibody diffusivity, was found to be nearly constant. In contrast, slope, the rate of increase in solution viscosity with solute concentration, varied significantly across different mAbs, demonstrating the importance of intermolecular interactions toward viscosity. Next, several molecular descriptors for electrostatic and hydrophobic properties of the 16 mAbs derived using their full-length homology models were examined for potential correlations with the slope. An equation consisting of hydrophobic surface area of full-length antibody and charges on VH, VL, and hinge regions was found to be capable of predicting the concentration-dependent viscosity curves of the antibody solutions. Availability of this computational tool may facilitate material-free high-throughput screening of antibody candidates during early stages of drug discovery and development.

Critical Components of the Conjugation Machinery of the Integrative and Conjugative Element ICEBs1 of Bacillus subtilis.

UNLABELLED: Conjugation, or mating, plays a profound role in bacterial evolution by spreading genes that allow bacteria to adapt to and colonize new niches. ICEBs1, an integrative and conjugative element of Bacillus subtilis, can transfer itself and mobilize resident plasmids. DNA transfer is mediated by a type IV secretion system (T4SS). Characterized components of the ICEBs1 T4SS include the conserved VirB4-like ATPase ConE, the bifunctional cell wall hydrolase CwlT, and the presumed VirD4-like coupling protein ConQ. A fusion of ConE to green fluorescent protein (GFP) localizes to the membrane preferentially at the cell poles. One or more ICEBs1 proteins are required for ConE's localization at the membrane, as ConE lacks predicted transmembrane segments and ConE-GFP is found dispersed throughout the cytoplasm in cells lacking ICEBs1. Here, we analyzed five ICEBs1 genes to determine if they are required for DNA transfer and/or ConE-GFP localization. We found that conB, conC, conD, and conG, but not yddF, are required for both ICEBs1 transfer and plasmid mobilization. All four required genes encode predicted integral membrane proteins. conB and, to some extent, conD were required for localization of ConE-GFP to the membrane. Using an adenylate cyclase-based bacterial two-hybrid system, we found that ConE interacts with ConB. We propose a model in which the ICEBs1 conjugation machinery is composed of ConB, ConC, ConD, ConE, ConG, CwlT, ConQ, and possibly other ICEBs1 proteins, and that ConB interacts with ConE, helping to recruit and/or maintain ConE at the membrane. IMPORTANCE: Conjugation is a major form of horizontal gene transfer and has played a profound role in bacterial evolution by moving genes, including those involved in antibiotic resistance, metabolism, symbiosis, and infectious disease. During conjugation, DNA is transferred from cell to cell through the conjugation machinery, a type of secretion system. Relatively little is known about the conjugation machinery of Gram-positive bacteria. Here, we analyzed five genes of the integrative and conjugative element ICEBs1 of Bacillus subtilis. Our research identifies four new components of the ICEBs1 conjugation machinery (ConB, ConC, ConD, and ConG) and shows an interaction between ConB and ConE that is required for ConE to associate with the cell membrane.