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The type VI secretion system (T6SS) is a protein export pathway that mediates competition between Gram-negative bacteria by facilitating the injection of toxic effector proteins from attacking cells into target cells. To function properly, many T6SSs require at least one protein that possesses a proline-alanine-alanine-arginine (PAAR) domain. These PAAR domains are often found within large, multi-domain effectors that possess additional N- and C-terminal extension domains whose function in type VI secretion is not well understood. The work described herein uncovers the function of these accessory domains across multiple PAAR-containing effectors. First, I demonstrated that thousands of PAAR effectors possess N-terminal transmembrane domains (TMDs) and that these effectors require a family of molecular chaperones for stability in the cell prior to their export by the T6SS. Our findings are corroborated by co-crystal structures of chaperones in complex with the TMDs of their cognate effectors, capturing the first high-resolution structural snapshots of T6SS chaperone-effector interactions. Second, I characterize a previously undescribed prePAAR effector named Tas1. My work shows that the C-terminus of Tas1 possesses a toxin domain that pyrophosphorylates ADP and ATP to synthesize the nucleotides adenosine penta- and tetraphosphate (hereafter referred to as (p)ppApp). Delivery of Tas1 into competitor cells drives the rapid accumulation of (p)ppApp, depletion of ADP and ATP, and widespread dysregulation of essential metabolic pathways, resulting in target cell death. These findings reveal a new mechanism of interbacterial antagonism, the first characterization of a (p)ppApp synthetase and the first demonstration of a role for (p)ppApp in bacterial physiology. TMD- and toxin-containing PAAR proteins constitute a large family of over 6,000 T6SS effectors found in Gram-negative bacteria. My work on these proteins has uncovered that different regions found within effectors have distinct roles in trafficking between bacterial cells and in the growth inhibition of the target cell. / Dissertation / Doctor of Philosophy (PhD) / Bacteria constantly compete with their neighbours for resources and space. The type VI secretion system is a protein complex that facilitates competition between Gram-negative bacteria by facilitating the injection of protein toxins, also known as effectors, from attacking cells into target cells. In this work, I characterize several members of a large family of membrane protein effectors. First, I showed that these effectors require a novel family of chaperone proteins for stability and recruitment to the type VI secretion system apparatus. Second, I characterized the growth-inhibitory properties of one of these effectors in-depth and showed that it possesses a toxin domain that depletes the essential nucleotides ATP and ADP in target cells by synthesizing the nucleotides adenosine penta- and tetraphosphate, (p)ppApp. Together, these studies revealed a new mechanism for the intercellular delivery of membrane protein toxins and uncovered the first known physiological role of a (p)ppApp-synthesizing enzyme in bacteria.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第24586号 / 工博第5092号 / 新制||工||1975(附属図書館) / 京都大学大学院工学研究科高分子化学専攻 / (主査)教授 秋吉 一成, 教授 大塚 浩二, 教授 田中 一生 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

<p dir="ltr">Proteins and their interactions with each other, with nucleic acids, and with other molecules are foundational to all known forms of life. The three-dimensional structures of these interactions are an essential component of a comprehensive understanding of how they function. Molecular-biological hypothesis formulation and rational drug design are both often predicated on a particular structure model of the molecule or complex of interest. While experimental methods capable of determining atomic-detail structures of molecules and complexes exist, such as the popular X-ray crystallography and cryo-electron microscopy, these methods require both laborious sample preparation and expensive instruments with limited throughput. Computational methods of predicting complex structures are therefore desirable if they can enable cheap, high-throughput virtual screening of the space of biological hypotheses. Many common biomolecular contexts have largely been blind spots for predictive modeling of complex structures. In this direction, docking methods are proposed to address extreme conformational change, nonuniform environments, and distance-geometric priors. Flex-LZerD deforms a flexible protein using a novel fitting procedure based on iterated normal mode decomposition and was shown to construct accurate complex models even when an initial input subunit structure exhibits extreme conformational differences from its bound state. Mem-LZerD efficiently constrains the docking search space by augmenting the geometric hashing data structure at the core of the LZerD algorithm and enabled membrane protein complexes to be efficiently and accurately modeled. Finally, atomic distance-based approaches developed during modeling competitions and collaborations with wet lab biologists were shown to effectively integrate domain knowledge into complex modeling pipelines.</p>

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