Nobuhiko Tokuriki

Associate Professor

Relevant Degree Programs


Graduate Student Supervision

Doctoral Student Supervision (Jan 2008 - Nov 2020)
Investigating the structure and function of metallo-?-lactamases with directed evolution (2018)

Metallo-β-lactamases (MBLs) are powerful enzymes capable of conferring pathogenic bacteria with effective resistance against all major classes of β-lactam antibiotics. Their continuing global dissemination, paired with a lack of therapeutic inhibitors, has combined to pose a significant threat to human health. This thesis aims to use an evolutionary perspective to better understand the structure, function, and behaviour of the MBLs. The comprehensive characterization of eight MBLs in three different host organisms, Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, revealed that host specific constraints can limit the effective periplasmic expression of the enzymes, and as a result, might restrict the dissemination of MBLs to certain bacteria. The directed evolution of NDM-1, VIM-2, and IMP-1 for the provision of greater ampicillin resistance in Escherichia coli exposed the mechanisms by which MBLs may adapt to overcome these expression barriers, while revealing the critical role that the signal peptide plays in host adaptation. The subsequent directed evolution of the same three MBLs with two other β-lactam antibiotics, cefotaxime and meropenem, demonstrated the relative robustness of the family’s broad substrate specificity, as only two of seven complete trajectories featured a narrowing of specificity and changing the selection pressure on one of these trajectories swiftly restored broad specificity. The long-term genetic drift of VIM-2 under purifying selection at different thresholds revealed the plasticity of the MBL’s sequence and structure, but also the robustness of its activity and function. Overall, the results presented in this thesis contribute to our understanding of the MBL family and will help to develop better treatment strategies in the future.

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The evolution of enzyme functions in the metallo-?-lactamase superfamily (2017)

Enzyme superfamilies have expanded over billions of years from the descendants of a potentially single common ancestral function. Understanding the evolution of their functional diversity is central to biochemistry, molecular and evolutionary biology. The overarching question of my thesis is how enzyme promiscuity, the serendipitous ability to catalyze non-native reactions and reactions, connects enzyme functions and facilitates molecular evolution by providing evolutionary starting points towards new functions. In particular, I primarily focus on proteins across the metallo-β-lactamase (MBL) superfamily by comparing evolutionary and functional connectivity based on the functional profiling of 24 enzymes against 10 distinct hydrolytic MBL reactions. This analysis revealed that MBL enzymes are generally promiscuous, as each enzyme catalyzes on average 1.5 reactions in addition to its native one, which leads to high functional connectivity. Furthermore, the ability to promiscuously bind different metal ions, enzymatic co- factors of MBL enzymes, provide additional mechanisms whereby the function profile of some MBL enzymes can be broadened, and thus further extends the connectivity between functions. In addition, I expand and compare the analyses of function connectivity through promiscuity to three previously published superfamily-wide function profiling studies, which revealed common trends that are discussed in the context of enzyme superfamily evolution. Finally, I assess the evolvability of promiscuous enzymes to determine their potential as evolutionary starting points towards a novel function by performing a comparative laboratory evolution experiment of two related β-lactamases, NDM1 and VIM2, towards a shared promiscuous phosphonate monoester hydrolase activity. Both trajectories accumulate 13 mutations over ten rounds of directed evolution, however the mutational solutions and evolvability is strikingly different for the two enzymes. NDM1 improves catalytic efficiency by over 20,000-fold and loses much of its solubility, i.e. the amount of functional enzyme in the cell. Contrarily, VIM2 improves catalytic efficiency only by 60-fold, but improves solubility. Detailed structural analysis, combined with molecular dynamics simulations, reveals a molecular understanding for the observed differences in evolvability between NDM1 and VIM2. Overall, my research contributes to our understanding of enzyme evolution and will help to advance functional annotation and engineering of enzyme.

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