Biology subjects

Smith, H. B.

Publications and source records attributed to Smith, H. B..

10 recordsLinked to original sources

bioRxiv2025

The History of Enzyme Evolution Embedded in Metabolism

Whereas phylogenetic reconstructions are a primary record of protein evolution, it is unknown whether the deep history of enzymes are encoded at higher levels of biological organization. Here, we demonstrate that the emergence and reuse history of enzymatic folds is embedded within the web of metabolite-cofactor-enzyme interdependencies that comprise biosphere-scale metabolic reaction networks. Using a simple network analysis approach, we reconstruct the relative ordering of enzymatic fold emergence and, where possible, the first reaction(s) that each enzymatic fold catalyzed. We find that a large majority of enzymatic folds were sufficient as independent additions to open new avenues for metabolic growth. The resulting network-based histories are broadly concordant with enzyme phyletic distribution in prokaryotes, a proxy for enzyme age. Our results suggest that the earliest enzyme-mediated metabolisms were enriched for /{beta} proteins, likely due to their strong association with cofactor utilization, and that -proteins preferentially emerge at later stages. The cradle-loop barrel, a member of the small {beta}-barrel metafold, is predicted to be the founding {beta}-fold, in agreement with analyses of ribosome structure. An examination of how the protein universe responded to the biological production of molecular oxygen reveals that the adaptation of existing enzymatic folds, not novel fold emergence, was the primary driver of metabolic evolution. This work presents a self-consistent model of metabolic and enzyme evolution, key progress towards integrating diverse perspectives into a unified history of protein evolution. Significance StatementEnzyme emergence is an ongoing process that began [~]4 billion years ago. Here, we show that the modern biosphere-scale network of metabolic reactions and enzymes is an archive of enzyme history independent from, but concordant with, phylogenetics. Based on this record, we predict the order of enzyme emergence from before the last universal common ancestor up until the biological production and metabolic utilization of molecular oxygen. We find that while /{beta} proteins dominated primitive enzyme-mediated metabolism, other folds -- including the cradle-loop barrel, which is a member of the small {beta}-barrel metafold -- were likely important early contributors. This study represents key progress towards building an internally consistent, joint history of metabolic reactions and enzymes.

bioinformatics↗

bioRxiv2023

Rules, hypergraphs, and probabilities: the three-level analysis of chemical reaction systems and other stochastic stoichiometric population processes

We consider problems in the functional analysis and evolution of combinatorial chemical reaction networks as rule-based, or three-level systems. The first level consists of rules, realized here as graph-grammar representations of reaction mechanisms. The second level consists of stoichiometric networks of molecules and reactions, modeled as hypergraphs. At the third level is the stochastic population process on molecule counts, solved for dynamics of population trajectories or probability distributions. Earlier levels in the hierarchy generate later levels combinatorially, and as a result constraints imposed in earlier and smaller layers can propagate to impose order in the architecture or dynamics in later and larger layers. We develop general methods to study rule algebras, emphasizing system consequences of symmetry; decomposition methods of flows on hypergraphs including the stoichiometric counterpart to Kirchhoffs current decomposition and work/dissipation relations studied in [1]; and the large-deviation theory for currents in a stoichiometric stochastic population process, deriving additive decompositions of the large-deviation function that relate a certain Kirchhoff flow decomposition to the extended Pythagorean theorem from information geometry. The latter result allows us to assign a natural probabilistic cost to topological changes in a reaction network of the kind produced by selection for catalyst-substrate specificity. We develop as an example a model of biological sugar-phosphate chemistry from a rule system published in [2]. It is one of the most potentially combinatorial reaction systems used by biochemistry, yet one in which two ancient, widespread and nearly unique pathways have evolved in the Calvin-Benson cycle and the Pentose Phosphate pathway, which are additionally nearly reverses of one another. We propose a probabilistic accounting in which physiological costs can be traded off against the fitness advantages that select them, and which suggests criteria under which these pathways may be optimal.

biochemistry↗

bioRxiv2023

Listeria monocytogenes requires DHNA-dependent intracellular redox homeostasis facilitated by Ndh2 for survival and virulence

Listeria monocytogenes is a remarkably well-adapted facultative intracellular pathogen that can thrive in a wide range of ecological niches. L. monocytogenes maximizes its ability to generate energy from diverse carbon sources using a respiro-fermentative metabolism that can function under both aerobic and anaerobic conditions. Cellular respiration maintains redox homeostasis by regenerating NAD+ while also generating a proton motive force (PMF). The end products of the menaquinone (MK) biosynthesis pathway are essential to drive both aerobic and anaerobic cellular respiration. We previously demonstrated that intermediates in the MK biosynthesis pathway, notably 1,4-dihydroxy-2-naphthoate (DHNA), are required for the survival and virulence of L. monocytogenes independent of their role in respiration. Furthermore, we found that restoration of NAD+/NADH ratio through expression of water-forming NADH oxidase (NOX) could rescue phenotypes associated with DHNA deficiency. Here we extend these findings to demonstrate that endogenous production or direct supplementation of DHNA restored both the cellular redox homeostasis and metabolic output of fermentation in L. monocytogenes. Further, exogenous supplementation of DHNA rescues the in vitro growth and ex vivo virulence of L. monocytogenes DHNA-deficient mutants. Finally, we demonstrate that exogenous DHNA restores redox balance in L. monocytogenes specifically through the recently annotated NADH dehydrogenase Ndh2, independent of the extracellular electron transport (EET) pathway. These data suggest that the production of DHNA may represent an additional layer of metabolic adaptability by L. monocytogenes to drive energy metabolism in the absence of respiration-favorable conditions.

microbiology↗

bioRxiv2022

Continuity between ancient geochemistry and modern metabolism enabled by non-autocatalytic purine biosynthesis

A major unresolved question in the origin and evolution of life is whether a continuous path from geochemical precursors to the majority of molecules in the biosphere can be reconstructed from modern day biochemistry. Here we simulated the emergence of ancient metabolic networks and identified a feasible path from simple geochemically plausible precursors (e.g., phosphate, sulfide, ammonia, simple carboxylic acids, and metals) using only known biochemical reactions and models of primitive coenzymes. We find that purine synthesis constitutes a bottleneck for metabolic expansion, and that non-autocatalytic phosphoryl coupling agents are necessary to enable expansion from geochemistry to modern metabolic networks. Our model predicts punctuated phases of metabolic evolution characterized by the emergence of small molecule coenzymes (e.g., ATP, NAD+, FAD). Early phases in the resulting expansion are associated with enzymes that are metal dependent and structurally symmetric, supporting models of early biochemical evolution. This expansion trajectory produces distinct hypotheses regarding the timing and mode of metabolic pathway evolution, including a late appearance of methane metabolisms and oxygenic photosynthesis consistent with the geochemical record. The concordance between biological and geological analysis suggests that this trajectory provides a plausible evolutionary history for the vast majority of core biochemistry.

systems biology↗

bioRxiv2021

Listeria monocytogenes requires cellular respiration for NAD+ regeneration and pathogenesis

Cellular respiration is essential for multiple bacterial pathogens and a validated antibiotic target. In addition to driving oxidative phosphorylation, bacterial respiration has a variety of ancillary functions that obscure its contribution to pathogenesis. We find here that the intracellular pathogen Listeria monocytogenes encodes two respiratory pathways which are partially functionally redundant and indispensable for pathogenesis. Loss of respiration decreased NAD+ regeneration, but this could be specifically reversed by heterologous expression of a water-forming NADH oxidase (NOX). NOX expression fully rescued intracellular growth defects and increased L. monocytogenes loads >1,000-fold in a mouse infection model. Consistent with NAD+ regeneration maintaining L. monocytogenes viability and enabling immune evasion, a respiration-deficient strain exhibited elevated bacteriolysis within the host cytosol and NOX rescued this phenotype. These studies show that NAD+ regeneration, rather than oxidative phosphorylation, represents the primary role of L. monocytogenes respiration and highlight the nuanced relationship between bacterial metabolism, physiology, and pathogenesis.

microbiology↗

bioRxiv2021

Listeria monocytogenes GlmR is an accessory uridyltransferase essential for cytosolic survival and virulence

The cytosol of eukaryotic host cells is an intrinsically hostile environment for bacteria. Understanding how cytosolic pathogens adapt to and survive in the cytosol is critical to developing novel therapeutic interventions for these pathogens. The cytosolic pathogen Listeria monocytogenes requires glmR (previously known as yvcK), a gene of unknown function, for resistance to cell wall stress, cytosolic survival, inflammasome avoidance and ultimately virulence in vivo. A genetic suppressor screen revealed that blocking utilization of UDP-GlcNAc by a non-essential wall teichoic acid decoration pathway restored resistance to cell wall stress and partially restored virulence of {Delta}glmR mutants. In parallel, metabolomics revealed that {Delta}glmR mutants are impaired in the production of UDP-GlcNAc, an essential peptidoglycan and wall teichoic acid (WTA) precursor. We next demonstrated that purified GlmR can directly catalyze the synthesis of UDP-GlcNAc from GlcNAc-1P and UTP, suggesting that it is an accessory uridyltransferase. Biochemical analysis of GlmR orthologues suggest that uridyltransferase activity is conserved. Finally, mutational analysis resulting in a GlmR mutant with impaired catalytic activity demonstrated that uridyltransferase activity was essential to facilitate cell wall stress responses and virulence in vivo. Taken together these studies indicate that GlmR is an evolutionary conserved accessory uridyltransferase required for cytosolic survival and virulence of L. monocytogenes. ImportanceBacterial pathogens must adapt to their host environment in order to cause disease. The cytosolic bacterial pathogen Listeria monocytogenes requires a highly conserved protein of unknown function, GlmR (previously known as YvcK) to survive in the host cytosol. GlmR is important for resistance to some cell wall stresses and is essential for virulence. The {Delta}glmR mutant is deficient in production of an essential cell wall metabolite, UDP-GlcNAc, and suppressors which increase metabolite levels also restore virulence. Purified GlmR can directly catalyze the synthesis of UDP-GlcNAc and this enzymatic activity is conserved in pathogens from Firmicutes and Actinobacteria phyla. These results highlight the importance accessory cell wall metabolism enzymes in responding to cell wall stress in a variety of bacterial pathogens.

microbiology↗

bioRxiv2020

Listeria monocytogenes MenI encodes a DHNA-CoA thioesterase necessary for menaquinone biosynthesis, cytosolic survival, and virulence

Listeria monocytogenes is a Gram-positive intracellular pathogen that is highly adapted to invade and replicate in the cytosol of eukaryotic cells. Intermediate metabolites in the menaquinone biosynthesis pathway are essential for the cytosolic survival and virulence of L. monocytogenes, independent of the production of MK and aerobic respiration. Determining which specific intermediate metabolite(s) are essential for cytosolic survival and virulence has been hindered by the lack of an identified DHNA-CoA thioesterase essential for converting DHNA-CoA to DHNA in the MK synthesis pathway. Using the recently identified Escherichia coli DHNA-CoA thioesterase as a query, homology sequence analysis revealed a single homolog in L. monocytogenes, LMRG_02730. Genetic deletion of LMRG_02730 resulted in an ablated membrane potential, indicative of a non-functional electron transport chain (ETC) and an inability to aerobically respire. Biochemical kinetic analysis of LMRG_02730 revealed strong activity towards DHNA-CoA, similar to its E. coli homolog, further demonstrating that LMRG_02730 is a DHNA-CoA thioesterase. Functional analyses in vitro, ex vivo, and in vivo using mutants directly downstream and upstream of LMRG_02730 revealed that DHNA-CoA is sufficient to facilitate in vitro growth in minimal media, intracellular replication, and plaque formation in fibroblasts. In contrast, protection against bacteriolysis in the cytosol of macrophages and tissue specific virulence in vivo requires the production of DHNA. Taken together, these data implicate LMRG_02730 (renamed MenI) as a DHNA-CoA thioesterase and suggest that while DHNA protects the bacteria from killing in the macrophage cytosol, DHNA-CoA is necessary for intracellular bacterial replication.

microbiology↗

bioRxiv2020

Scarcity of scale-free topology is universal across biochemical networks

Biochemical reactions underlie all living processes. Like many biological and technological systems, their complex web of interactions is difficult to fully capture and quantify with simple mathematical objects. Nonetheless, a huge volume of research has suggested many real-world biological and technological systems - including biochemical systems - can be described rather simply as scale-free networks, characterized by a power-law degree distribution. More recently, rigorous statistical analyses across a variety of systems have upended this view, suggesting truly scale-free networks may be rare. We provide a first application of these newer methods across two distinct levels of biological organization: analyzing a large ensemble of biochemical networks generated from the reactions encoded in 785 ecosystem-level metagenomes and 1082 individual-level genomes (representing all three domains of life). Our results confirm only a few percent of individual and ecosystem-level biochemical networks meet the criteria necessary to be anything more than super-weakly scale-free. Leveraging the simultaneous analysis of the multiple coarse-grained projections of biochemistry, we perform distinguishability tests across properties of individual and ecosystem-level biochemical networks to determine whether or not they share common structure, indicative of common generative mechanisms across levels. Our results indicate there is no sharp transition in the organization of biochemistry across distinct levels of the biological hierarchy - a result that holds across different network projections. This suggests the existence of common organizing principles operating across different levels of organization in biochemical networks, independent of the project chosen. Author SummaryFully characterizing living systems requires rigorous analysis of the complex webs of interactions governing living processes. Here we apply statistical approaches to analyze a large data set of biochemical networks across two levels of organization: individuals and ecosystems. We find that independent of level of organization, the standard scale-free model is not a good description of the data. Interestingly, there is no sharp transition in the shape of degree distributions for biochemical networks when comparing those of individuals to ecosystems. This suggests the existence of common organizing principles operating across different levels of biochemical organization that are revealed across different network projections.

systems biology↗

bioRxiv2019

Assessing the viability of biochemical networks across planets

The concept of the origin of life implies that initially, life emerged from a non-living medium. If this medium was Earths geochemistry, then that would make life, by definition, a geochemical process. The extent to which life on Earth today could subsist outside of the geochemistry from which it is embedded is poorly quantified. By leveraging large biochemical datasets in conjunction with planetary observations and computational tools, this research provides a methodological foundation for the quantitative assessment of our biologys viability in the context of other geospheres. Investigating a case study of alkaline prokaryotes in the context of Enceladus, we find that the chemical compounds observed on Enceladus thus far would be insufficient to allow even these extremophiles to produce the compounds necessary to sustain a viable metabolism. The environmental precursors required by these organisms provides a map for the compounds which should be prioritized for detection in future planetary exploration missions. The results of this framework have further consequences in the context of planetary protection, and hint that forward contamination may prove infeasible without meticulous intent.

systems biology↗

bioRxiv2017

FplA From Fusobacterium nucleatum Is A Type Vd Autotransporter Phospholipase With A Proposed Role In Altered Host Signaling And Evasion Of Autophagy

Fusobacterium nucleatum is a pathogenic oral bacterium that is linked to multiple human infections and colorectal cancer. While most Gram-negative pathogens utilize secretion systems for cellular invasion and infection, F. nucleatum lacks Type I, II, III, IV, and VI secretion. By contrast, F. nucleatum strains are enriched in Type V secreted autotransporters, which are Gram-negative bacterial virulence factors critical for binding and entry into host cells. Here we present the first biochemical characterization of a F. nucleatum Type Vd phospholipase class A1 autotransporter (strain ATCC 25586, gene FN1704) that we hereby rename Fusobacterium phospholipase autotransporter (FplA). FplA is expressed as a full-length 85 kDa outer membrane embedded protein, or as a truncated phospholipase domain that remains associated with the outer membrane. Using multiple FplA constructs we characterized lipid substrate specificity, potent inhibitors, and chemical probes to detect and track this enzyme family. While the role of FplA is undetermined in F. nucleatum virulence, homologous phospholipases from intracellular pathogens are critical for vacuole escape, altered host signaling, and intracellular survival. We hypothesize that upon intracellular invasion of the host, FplA could play a role in phagosomal escape, subversion of autophagy, or eicosanoid-mediated inflammatory signaling, as we show that FplA binds with high affinity to host phosphoinositide signaling lipids critical to these processes. Our identification of substrates, inhibitors, and chemical probes for FplA, in combination with an fplA gene deletion strain, encompass a powerful set of tools for the future analysis of FplA in vivo. In addition, these studies will guide the biochemical characterization of additional Type Vd autotransporter phospholipases.\n\nIMPORTANCEF. nucleatum is an emerging pathogen that is linked to the pathogenesis of colorectal cancer, yet there is a critical knowledge gap in the mechanisms used by this bacterium to elicit changes in the host for intracellular entry and survival. As phospholipases are critical virulence factors for intracellular bacteria to initiate vacuole lysis, cell-to-cell spread, and evasion of autophagy, we set out to characterize a unique Type Vd secreted phospholipase A1 enzyme from F. nucleatum. Our results show a potential role for modulating host signaling pathways through cleavage of phosphoinositide dependent signaling lipids. These studies open the door for further characterization of this unique enzyme family in bacterial virulence, host-pathogen interactions, and for F. nucleatum, in colorectal carcinogenesis.

microbiology↗