Structural and kinetic characterization of DNA polymerases I and III from Escherichia coli

DNA elongation is performed by Pol III α subunit in E. coli, stimulated by the association with ε and θ subunits. These three subunits define the DNA Pol III catalytic core. There is controversy about the DNA Pol III assembly for the simultaneous control of lagging and leading strands replication, since some Authors propose a dimeric model with two cores, whereas others have assembled in vitro a trimeric DNA Pol III with a third catalytic core, which increases the efficiency of DNA replication. Moreover, the function of the PHP domain, located at the N-terminus of α subunit, is still unknown. Previous studies hypothesized a possible pyrophosphatase activity, not confirmed yet. The present Thesis highlights by the first time the production in vivo of a trimeric E. coli DNA Pol III by co-expressing α, τ, ε and θ subunits. This trimeric complex has been enzymatically characterized and a molecular model has been proposed, with 2 α subunits sustaining the lagging-strand replication whereas the third core replicates the leading strand. In addition, the pyrophosphatase activity of the PHP domain has been confirmed. This activity involves, at least, the H12 and the D19 residues, whereas the D201 regulates phosphate release. On the other hand, an artificial polymerase (HoLaMa), designed by deleting the exonuclease domain of Klenow Fragment, has been expressed, purified and characterized for a better understanding of bacterial polymerases mechanism. The absence of exonuclease domain impaired enzyme processivity, since this domain is involved in DNA binding. Finally, Klenow enzyme, HoLaMa, α subunit and DNA Pol III αεθ have been characterized at the single-molecule level by FRET analysis, combining ALEX and TIRF microscopy. Fluorescently-labeled DNA molecules were immobilized, and changes in FRET efficiency enabled us to study polymerase binding and DNA polymerization.

Model reduction of stochastic groundwater flow and transport processes

This work presents a comprehensive methodology for the reduction of analytical or numerical stochastic models characterized by uncertain input parameters or boundary conditions. The technique, based on the Polynomial Chaos Expansion (PCE) theory, represents a versatile solution to solve direct or inverse problems related to propagation of uncertainty. The potentiality of the methodology is assessed investigating different applicative contexts related to groundwater flow and transport scenarios, such as global sensitivity analysis, risk analysis and model calibration. This is achieved by implementing a numerical code, developed in the MATLAB environment, presented here in its main features and tested with literature examples. The procedure has been conceived under flexibility and efficiency criteria in order to ensure its adaptability to different fields of engineering; it has been applied to different case studies related to flow and transport in porous media. Each application is associated with innovative elements such as (i) new analytical formulations describing motion and displacement of non-Newtonian fluids in porous media, (ii) application of global sensitivity analysis to a high-complexity numerical model inspired by a real case of risk of radionuclide migration in the subsurface environment, and (iii) development of a novel sensitivity-based strategy for parameter calibration and experiment design in laboratory scale tracer transport.