Biology subjects

Marx, C. J.

Publications and source records attributed to Marx, C. J..

At least 19 recordsLinked to original sources

bioRxiv2026

Growth rate dependent DNA methylation patterns along bacterial chromosomes

DNA methylation plays critical roles in gene regulation in bacteria, from regulating essential processes like the cell cycle to phenotypes of practical interest like pathogenicity and motility. Synthetic manipulation of global methylation levels has broad impacts on cellular physiology, changing expression patterns of hundreds of genes. However, whether or how environmental variation in natural settings similarly impacts DNA methylation patterns has been unclear. In this work, using the alphaproteobacteria Methylobacterium extorquens and Caulobacter crescentus as model systems, we discover the methylome is highly fluid in response to environmental variation, with different environments leading to distinct patterns of increased or decreased methylation levels along the chromosome. Despite a heterogeneous effect of different environments on methylation patterns, we find a general principle where the dependence of methylation states on position in the genome decreases in proportion to growth rate. A simple model that considers the methylation state through different phases of the cell cycle as a function of distance from an origin provides a framework to interpret the effects of different stressors upon the observed environmental responsiveness of the methylation patterns. Our work highlights how sequencing data alone can shed light on important aspects of microbial physiology. Significance StatementDNA methylation is known to profoundly impact gene regulation in prokaryotes, with both distinct methylation states at specific loci and global levels of DNA methylation modulating critical cellular phenotypes. Yet whether or how DNA methylation patterns depend on environmental variation remains unclear. Using Methylobacterium and Caulobacter as model systems, we combine experiments and theory to uncover general principles of how global patterns of DNA methylation are shaped by the environment. In particular, we discover a positive relationship between growth rate and the magnitude of the genomic position-dependent methylation level, highlighting how sequencing data can provide a culture-independent approach to estimating microbial traits like growth rate in natural settings. Our results resolve an open question, highlighting that DNA methylation patterns in bacteria can rapidly change in response to environmental shifts and revealing rules by which methylation patterns can help understand cellular phenotypes.

microbiology↗

bioRxiv2026

Evolutionary Integration of a Foreign Aromatic Catabolic Pathway Drives Metabolic Trade-offs in Methylobacterium extorquens PA1

Bacteria often acquire novel metabolic functions through horizontal gene transfer, allowing them to utilize new carbon sources. However, to benefit from these new pathways, they must be integrated with the hosts native metabolism. In nature, this process is fine-tuned via selection, enabling bacteria to exploit new niches. Alternate routes for pathway integration might yield distinct patterns of trade-offs, leading to differentiation within the adapting population. Understanding the metabolic mechanisms underlying these trade-offs provides insight into what maintains metabolic diversity in the environment. Lignin, a complex aromatic biopolymer, serves as an ideal substrate for exploring these questions, as monomers require complex metabolic pathways to break aromatic rings and be fed directly into central metabolism. In this study, we used the phyllosphere bacterium Methylobacterium extorquens PA1 to examine how a previously engineered catabolic gene cluster enabling lignin monomer utilization integrates with central metabolism. To this end, we experimentally evolved strains on lignin monomers vanillate (VA) and protocatechuate (PCA). Whole-genome sequencing revealed substrate-specific mutations that collectively reprogram stress responses and carbon storage regulation. These mutations resulted in myriad metabolic trade-offs: VA adapted strains showed diminished growth on PCA, PCA adapted strains largely cross-adapted to VA, and both VA and PCA evolution decreased growth rate on non-aromatic native substrates like succinate. These findings illuminate how evolution optimizes catabolic flux and resource allocation to efficiently integrate a foreign pathway following horizontal gene transfer, and the pleiotropic effects of such optimization. ImportanceMicrobial use of aromatics derived from lignin, whether in natural ecosystems or in biomass conversion, has been a major research focus. While aromatic pathways are well-known to have broad substrate specificity, pulling in aromatic molecules at various levels of conversion, it is unclear how much evolutionary constraint there is upon adaptation to each of these steps. By experimentally evolving Methylobacterium extorquens carrying a foreign lignin-derived aromatic catabolic pathway, we demonstrate that adaptation involves not just increased pathway flux but also regulatory rewiring and reallocation of resources, especially through PHB metabolism and the TCA cycle. The results reveal substrate-specific trade-offs and cross-adaptation, illustrating how new functions reshape fitness landscapes. These insights on metabolic innovation, pleiotropy, and diversification following horizontal gene transfer have broad implications for microbial evolution and metabolic engineering.

microbiology↗

bioRxiv2025

Storage polymer polyhydroxybutyrate promotes recovery and limits phenotypic heterogeneity in regrowth from carbon starvation in Methylobacterium extorquens

Bacteria in the wild often encounter long periods of starvation. Evolutionary adaptation to cycles of nutrient deficiency has led to metabolic and physiological strategies that prevent cell death and promote rapid recovery from starvation. A cellular factor shaping outcomes during carbon starvation is polyhydroxybutyrate (PHB), a widespread carbon polymer that helps maintain membrane integrity and promotes regrowth upon reintroduction to nutrients. The response to starvation is often highly heterogeneous across isogenic populations and confounded by environmental variables that mask underlying physiological mechanisms. Prior work has shown that hyper- or hypo-osmolarity greatly increases cell death, but little is known about how PHB and osmolarity jointly influence both population viability and the emergence of heterogeneity in periods of nutrient limitation. To investigate this, we subjected populations of Methylobacterium extorquens to carbon starvation across a range of osmolarities and analyzed the phenotypes of individuals regrowing from the combined stress. By resolving the distributions of key traits such as lag time and growth rate, we found that populations partition into subpopulations that appear either significantly or minimally impaired by the stresses presented. Osmolarity affected total survival, and surprisingly, populations maintained viability in ultra-pure water. PHB metabolism was beneficial for population viability across all conditions, and unexpectedly reduced the variance of populations in lag time and growth rate. These findings show that PHB aids survival and regrowth from starvation, and suggest that the restructuring of phenotypes in long-term stationary phase depends on PHB even though total osmotic sensitivity does not.

microbiology↗

bioRxiv2025

Microbial Cell-Adaptive Segmentation in Quantitative Phase Imaging

Quantitative phase imaging (QPI) enables label-free microscopy with exceptional signal-to-background contrast and provides direct measurements of key biophysical parameters such as cell mass. Despite these advantages, QPI lacks a generalized, accurate, and computationally efficient segmentation method, limiting its use in high-throughput single-cell biology. Here, we introduce microbial Cell-Adaptive Segmentation (mCAS), a purpose-built framework for QPI. mCAS is an object-based, modular pipeline that leverages the robust phase-edge signal to achieve accurate segmentation without Fourier filtering, deconvolution, or deep learning. It runs efficiently on standard hardware, is readily implemented in common software platforms, and requires no curated training data. mCAS consistently outperformed both intensity-based and deep learning approaches, achieving over 98% accuracy with up to tenfold faster processing. By eliminating the segmentation bottleneck, mCAS enables scalable, high-fidelity analysis of QPI datasets and provides a broadly applicable foundation for label-free, high-throughput single-cell biology. We validate its generality across diverse bacterial species, morphologies, and intracellular complexities. Significance StatementQuantitative phase imaging (QPI) enables label-free, noninvasive measurement of cellular biophysics, yet its broader adoption has been limited by the absence of a generalized and computationally efficient segmentation strategy. We present microbial Cell-Adaptive Segmentation (mCAS), a framework purpose-built for QPI that achieves high accuracy without training, specialized hardware, or intensive preprocessing. mCAS generalizes across microbial species and morphologies, outperforming state-of-the-art deep learning approaches while processing thousands of single-cell images in minutes. By eliminating the segmentation bottleneck, mCAS makes QPI broadly accessible for high-throughput, label-free single-cell biology and expands the computational toolkit for quantitative imaging in microbiology.

systems biology↗

bioRxiv2025

Evolution uncovers a general tradeoff between recovery after heat shock and growth at elevated temperatures

The maintenance of microbial diversity depends upon fitness tradeoffs between environments. While the importance of tradeoffs is clear, it has been surprisingly difficult to predict which traits they will occur between and at how granular a level. For example, it is unclear whether performance between a constant versus a pulsed exposure of the same stress tend to be positively correlated, independent of each other, or negatively correlated. Empirically, it has been shown that a critical feature structuring environments is temperature. However, the compatibility between strategies to deal with different forms of heat stress is unclear. For instance, are strains that grow well at higher temperatures also stronger at withstanding heat shock? To understand how environmental microbes can adapt to better deal with different forms of heat stress, we performed an evolution experiment using a dominant phyllosphere microbe Methylobacterium extorquens in a regime of intermittent heat shock. We identified the genetic basis of adaptation, discovering a large number of loci capable of mediating adaptation to heat shock, most of which previously had not been linked to heat stress. Despite the genetic divergence, we discovered a general tradeoff between heat shock resistance and growth at consistently elevated temperatures. We found this tradeoff was not limited to evolved isolates, but was also represented across a sample of environmentally isolated Methylobacterium strains. These findings indicate a generic conflict between strategies to deal with heat shock recovery and growth at elevated temperatures, suggesting even variation in intensities of a stressor can drive diversity in microbial strategies.

evolutionary biology↗

bioRxiv2025

Epigenetic variation can promote adaptation by smoothing rugged fitness landscapes

Heritable non-genetic phenotypic variation--broadly, epigenetics--can potentially influence evolutionary outcomes as direct targets of selection or through interactions with genetic variation. While their evolutionary benefits in generating phenotypic diversity in changing environments is well-characterized, there has been relatively little consideration of how the joint influence of epigenetic changes and mutations would affect traversal of multi-peak adaptive landscapes. Here, we discover general principles for how epigenetics, by generating an epigenetic quasispecies (clusters of semi-stable phenotypes mapped to a single genotype), tends to improve adaptive outcomes of an asexual population on rugged fitness landscapes even without environmental change. In particular, rapid epigenetic changes can sometimes smooth out suboptimal fitness peaks through incorporating fitness contributions of epimutations, allowing access to better adaptive outcomes. Remarkably, the average impact of epigenetics is more strongly influenced by an approximate balance between switching rates rather than the absolute rate at which those switches occur. These findings demonstrate that epigenetic changes can be influential even without having strong heritability and have a striking, yet generally invisible, beneficial role in shaping a populations adaptive trajectory. Significance StatementSelection can act upon individuals with epigenetic differences, but it is unclear how much long-term effect this can have on evolutionary trajectories if the epigenetic changes only last a limited number of generations. When the environment changes or more than one functionality is needed simultaneously, it is apparent how bet hedging or division of labour can be advantageous, but what about in a single, constant environment? Here, we find that epigenetics, by allowing individuals rapid yet heritable access to multiple alternate phenotypes, can change the outcome of genetic evolution and has the tendency to remove local fitness peaks and allow adaptation to find higher optima. As such, epigenetics, despite being transient, can profoundly affect adaptive trajectories.

evolutionary biology↗

bioRxiv2025

Engineered Methylobacterium extorquens grows well on methoxylated aromatics due to its formaldehyde metabolism and stress response

Lignin is a vast yet underutilized source of renewable energy. The microbial valorization of lignin is challenging due to the toxicity of its degradation intermediates, particularly formaldehyde. In this study, we engineered Methylobacterium extorquens to metabolize lignin-derived methoxylated aromatics, vanillate (VA) and protocatechuate (PCA), by introducing the van and pca gene clusters. Compared to Pseudomonas putida, M. extorquens exhibited better formaldehyde detoxification, enabling robust growth on VA without accumulation of formaldehyde. Genetic analyses confirmed that formaldehyde oxidation and stress response systems, rather than C1 assimilation, were important for VA metabolism. Additionally, VA and PCA were found to disrupt membrane potential, contributing to their inherent toxicity. Our findings establish M. extorquens as a promising chassis for lignin valorization and provide a framework for engineering formaldehyde-resistant microbial platforms.

microbiology↗

bioRxiv2022

Antibiotic persistence does not cause phenotypic heterogeneity in tolerance of Escherichia coli to formaldehyde stress but can preserve it through time

The phenomenon of phenotypic heterogeneity, where an isogenic population expresses varying phenotypes, has been uncovered for an expanding variety of organisms and traits. This heterogeneity in phenotype can be physiologically relevant, such as the ability for antibiotic persistence to allow populations to survive lethal conditions due to rare cells being in a slow or non-growing state. Recently, it was discovered that Methylorubrum extorquens, a facultative methylotroph, possesses a continuous spectrum of phenotypic states conferring tolerance to formaldehyde. Formaldehyde is a toxin produced by M. extorquens during growth on methanol. The phenotypic tolerance allowed rapid growth on levels of formaldehyde which were lethal to the majority of the population. Transcriptomics indicated this may be due to upregulation of proteins that attenuate oxidative stress and protein damage rather than increasing formaldehyde oxidation to prevent accumulation. These data suggested that heterogeneity to formaldehyde stress may be present even in non-methylotrophic organisms that do not routinely produce large quantities of formaldehyde, and thus widely distributed across bacteria. To investigate this, we tested Escherichia coli for heterogeneity to formaldehyde stress during growth on glucose. Like M. extorquens, E. coli populations have a wide, continuous range of formaldehyde tolerance thresholds and this tolerance was reversible. Several other features, however, were different from what was found for M. extorquens. Most E. coli growth occurred after formaldehyde levels had dropped, suggesting that persistence could be the cause. The dynamics of antibiotic persistence and formaldehyde tolerance were both tracked but found to not be correlated. On the other hand, the persister cell state can maintain formaldehyde tolerance. These data suggest that persistence can preserve phenotypic heterogeneities in other traits, further expanding its potential role in helping cells survive environmental stressors.

microbiology↗

bioRxiv2022

Comprehensive phylogenomics of Methylobacterium reveals four evolutionary distinct groups and underappreciated phyllosphere diversity.

Methylobacterium is a group of methylotrophic microbes associated with soil, fresh water, and particularly the phyllosphere, the aerial part of plants that has been well-studied in terms of physiology but whose evolutionary history and taxonomy are unclear. Recent work has suggested that Methylobacterium is much more diverse than thought previously, questioning its status as an ecologically and phylogenetically coherent taxonomic genus. However, taxonomic and evolutionary studies of Methylobacterium have mostly been restricted to model species, often isolated from habitats other than the phyllosphere, and have yet to utilize comprehensive phylogenomic methods to examine gene trees, gene content, or synteny. By analyzing 189 Methylobacterium genomes from a wide range of habitats, including the phyllosphere, we inferred a robust phylogenetic tree while explicitly accounting for the impact of horizontal gene transfers. We showed that Methylobacterium contains four evolutionary distinct groups of bacteria (namely A, B, C, D), characterized by different genome size, GC content, gene content and genome architecture, revealing the dynamic nature of Methylobacterium genomes. In addition of recovering 59 described species, we identified 45 candidate species, mostly phyllosphere-associated, stressing the significance of plants as a reservoir of Methylobacterium diversity. We inferred an ancient transition from a free-living lifestyle to association with plant roots in Methylobacteriaceae ancestor, followed by phyllosphere association of three of the major groups (A, B, D), which early branching in Methylobacterium history was heavily obscured by HGT. Together, our work lays the foundations for a thorough redefinition of Methylobacterium taxonomy, beginning with the abandon of Methylorubrum.

genomics↗

bioRxiv2021

Mutational switch-backs can accelerate evolution of Francisella to a combination of ciprofloxacin and doxycycline

Combination antimicrobial therapy has been considered a promising strategy to combat the evolution of antimicrobial resistance. Francisella tularensis is the causative agent of tularemia and in addition to being found in the nature, is recognized as a threat agent that requires vigilance. We investigated the evolutionary outcome of adapting the Live Vaccine Strain (LVS) of Francisella to two non-interacting drugs, ciprofloxacin and doxycycline, individually, sequentially, and in combination. Despite their individual efficacies and independence of mechanisms, evolution to the combination appeared to progress faster than evolution to the two drugs sequentially. We conducted a longitudinal mutational analysis of the populations evolving to the drug combination, genetically reconstructed the identified evolutionary pathway, and carried out biochemical validation. We discovered that, after the appearance of an initial weak generalist mutation (FupA/B), each successive mutation alternated between adaptation to one drug or the other. In combination, these mutations allowed the population to more efficiently ascend the fitness peak through a series of evolutionary switch-backs. Clonal interference, weak pleiotropy, and positive epistasis also contributed to combinatorial evolution. This finding suggests that, under some selection conditions, the use of non-interacting drug pairs as a treatment strategy may result in a more rapid ascent to multi-drug resistance and serves as a cautionary tale. Author summaryThe antimicrobial resistance crisis requires the use of novel treatment strategies to prevent or delay the emergence of resistance. Combinations of drugs offer one strategy to delay resistance, but the efficacy of such drug combinations depends on the evolutionary response of the organism. Using experimental evolution, we show that under some conditions, a potential drug combination does not delay the onset of resistance in bacteria responsible for causing tularemia, Francisella. In fact, they evolve resistance to the combination faster than when the two drugs are applied sequentially. This result is surprising and concerning: using this drug combination in a hospital setting could lead to simultaneous emergence of resistance to two antibiotics. Employing whole genome sequencing, we identified the molecular mechanism leading to evolution of resistance to the combination. The mechanism is similar to the switch-back route used by hikers while scaling steep mountains i.e., instead of simultaneously acquiring mutations conferring resistance to both drugs, the bacteria acquire mutations to each drug in alternating manner. Rather than scaling the steep mountain directly, the bacteria ascend the mountain by a series of evolutionary switch-backs to gain elevation and in doing so, they get to the top more efficiently.

evolutionary biology↗

bioRxiv2021

Methylothon: a versatile course-based high school research experience in microbiology and bioinformatics-- with pink bacteria

Methylothon is an inquiry-based high school learning module in microbial ecology, molecular biology, and bioinformatics that centers around pink-pigmented plant-associated methylotrophic bacteria. Here we present an overview of the modules learning goals, describe course resources (available for public use on http://methylothon.com), and relate lessons learned from adapting Methylothon for remote learning during the pandemic in spring of 2021. The original in-person version of the module allows students to isolate their own strains of methylotrophic bacteria from plants they sample from the environment, to identify these using PCR, sequencing, and phylogenetic analysis, and to contribute their strains to original research in a university lab. The adapted version strengthens the focus on bioinformatics and increases its flexibility and accessibility by making the lab portion optional and adopting free web-based tools. Student feedback and graded assignments from Spring 2021 revealed that the lesson was especially effective at introducing the concepts of BLAST and phylogenetic trees, and that students valued and felt inspired by the opportunity to conduct hands-on work and to participate in community science.

scientific communication and education↗

bioRxiv2021

Evolution with private resources reverses some changes from long-term evolution with public resources

A population under selection to improve one trait may evolve a sub-optimal state for another trait due to tradeoffs and other evolutionary constraints. How this evolution affects the capacity of a population to adapt when conditions change to favor the second trait is an open question. We investigated this question using isolates from a lineage spanning 60,000 generations of the Long-Term Evolution Experiment (LTEE) with Escherichia coli, where cells have access to a shared pool of resources, and have evolved increased competitive ability and a concomitant reduction in numerical yield. Using media-in oil emulsions we shifted the focus of selection to numerical yield, where cells grew in isolated patches with private resources. We found that the time spent evolving under shared resources did not affect the ability to re-evolve toward higher numerical yield. The evolution of numerical yield commonly occurred through mutations in the phosphoenolpyruvate phosphotransferase system. These mutants exhibit slower uptake of glucose, making them poorer competitors for public resources, and produce smaller cells that release less carbon as overflow metabolites. Our results demonstrate that mutations that were not part of adaptation under one selective regime may enable access to ancestral phenotypes when selection changes to favor evolutionary reversion.

evolutionary biology↗

bioRxiv2021

FINE-SCALE ADAPTATIONS TO ENVIRONMENTAL VARIATION AND GROWTH STRATEGIES DRIVE PHYLLOSPHERE METHYLOBACTERIUM DIVERSITY.

Methylobacterium is a prevalent bacterial genus of the phyllosphere. Despite its ubiquity, little is known about the extent to which its diversity reflects neutral processes like migration and drift, versus environmental filtering of life history strategies and adaptations. In two temperate forests, we investigated how phylogenetic diversity within Methylobacterium was structured by biogeography, seasonality, and growth strategies. Using deep, culture-independent barcoded marker gene sequencing coupled with culture-based approaches, we uncovered a considerable diversity of Methylobacterium in the phyllosphere. We cultured different subsets of Methylobacterium lineages depending upon the temperature of isolation and growth (20 {degrees}C or 30 {degrees}C), suggesting long-term adaptation to temperature. To a lesser extent than temperature adaptation, Methylobacterium diversity was also structured across large (>100km; between forests) and small geographical scales (<1.2km within forests), among host tree species, and was dynamic over seasons. By measuring growth of 79 isolates at different temperature treatments, we observed contrasting growth performances, with strong lineage- and season-dependent variations in growth strategies. Finally, we documented a progressive replacement of lineages with a high-yield growth strategy typical of cooperative, structured communities, in favor of those characterized by rapid growth, resulting in convergence and homogenization of community structure at the end of the growing season. Together our results show how Methylobacterium is phylogenetically structured into lineages with distinct growth strategies, which helps explain their differential abundance across regions, host tree species, and time. This works paves the way for further investigation of adaptive strategies and traits within a ubiquitous phyllosphere genus. ImportanceMethylobacterium is a bacterial group tied to plants. Despite its ubiquity and importance to their hosts, little is known about the processes driving Methylobacterium community dynamics. By combining traditional culture-dependent and independent (metabarcoding) approaches, we monitored Methylobacterium diversity in two temperate forests over a growing season. On the surface of tree leaves, we discovered remarkably diverse and dynamic Methylobacterium communities over short temporal (from June to October) and spatial scales (within 1.2 km). Because we cultured different subsets of Methylobacterium diversity depending on the temperature of incubation, we suspected that these dynamics partly reflected climatic adaptation. By culturing strains in lab conditions mimicking seasonal variations, we found that diversity and environmental variations were indeed good predictors of Methylobacterium growth performances. Our findings suggest that Methylobacterium community dynamics at the surface of tree leaves results from the succession of strains with contrasted growth strategies in response to environmental variations.

microbiology↗

bioRxiv2021

Global transcriptional response of Methylorubrum extorquens to formaldehyde stress expands the role of EfgA and is distinct from antibiotic translational inhibition

The potency and indiscriminate nature of formaldehyde reactivity upon biological molecules make it a universal stressor. However, some organisms such as Methylorubrum extorquens possess means to rapidly and effectively mitigate formaldehyde-induced damage. EfgA is a recently identified formaldehyde sensor predicted to halt translation in response to elevated formaldehyde as a means to protect cells. Herein, we investigate growth and changes in gene expression to understand how M. extorquens responds to formaldehyde with and without the EfgA-formaldehyde-mediated translational response, and how this mechanism compares to antibiotic-mediated translation inhibition. These distinct mechanisms of translation inhibition have notable differences: they each involve different specific players and in addition, formaldehyde also acts as a general, multi-target stressor and a potential carbon source. We present findings demonstrating that in addition to its characterized impact on translation, functional EfgA allows for a rapid and robust transcriptional response to formaldehyde and that removal of EfgA leads to heightened proteotoxic and genotoxic stress in the presence of increased formaldehyde levels. We also found that many downstream consequences of translation inhibition were shared by EfgA-formaldehyde- and kanamycin-mediated translation inhibition. Our work uncovered additional layers of regulatory control enacted by functional EfgA upon experiencing formaldehyde stress, and further demonstrated the importance this protein plays at both transcriptional and translational levels in this model methylotroph.

microbiology↗

bioRxiv2020

Epistatic interactions shape the interplay between beneficial alleles and gain or loss of pathways in the evolution of novel metabolism

Fitness landscapes are often invoked to interpret the effects of allele substitutions and their interactions; however, evolution also includes larger changes like gene loss and acquisition. Previous work with the methylotrophic bacterium Methylorubrum extorquens AM1 identified strongly beneficial mutations in a strain evolved to utilize a novel, Foreign pathway in place of its native central metabolic pathway for growth on methanol. These mutations were consistently beneficial, regardless of the order in which they arose. Here we extend this analysis to consider loss or acquisition of metabolic pathways by examining strains relying upon either the Native pathway, or both ( Dual) pathways present. Unlike in the Foreign pathway context in which they evolved, these alleles were often deleterious in these alternative genetic backgrounds, following patterns that were strongly contingent on the specific pathways and other evolved alleles present. Landscapes for these alternative pathway backgrounds altered which genotypes correspond to local fitness peaks and would restrict the set of accessible evolutionary trajectories. These epistatic interactions negatively impact the probability of maintaining multiple degenerate pathways, making it more difficult for these pathways to coevolve. Together, our results highlight the uncertainty of retaining novel functions acquired via horizontal gene transfer (HGT), and that the potential for cells to either adopt novel functions or to maintain degenerate pathways together in a genome is heavily dependent upon the underlying epistatic interactions between them. Author SummaryThe evolution of physiology in microbes has important impacts ranging from global cycling of elements to the emergence and spread of pathogens and their resistance to antibiotics. While genetic interactions between mutations in evolving lineages of microbes have been investigated, these have not included the acquisition of novel genes on elements like plasmids, and thus how these elements interact with existing alleles. The dynamics of novel gene retention are of interest from both positive (e.g., biotechnology) and negative (e.g., antimicrobial resistance) practical impacts. We find that the patterns of interactions between evolved alleles appear substantially different, and generally much less positive, when moved into novel genetic backgrounds. Additionally, these preexisting alleles were found to have strong impacts on the ability of genotypes to maintain - and in rare cases coevolve with - novel genes and pathways. These results show that even though they evolved separately, the particular alleles in a genetic background, and importantly the physiological impacts they confer, weigh heavily on whether genes for novel metabolic processes are maintained.

evolutionary biology↗

bioRxiv2020

Formaldehyde-responsive proteins, TtmR and EfgA, reveal a tradeoff between formaldehyde resistance and efficient transition to methylotrophy in Methylorubrum extorquens

For bacteria to thrive they must be well-adapted to their environmental niche, which may involve specialized metabolism, timely adaptation to shifting environments, and/or the ability to mitigate numerous stressors. These attributes are highly dependent on cellular machinery that can sense both the external and intracellular environment. Methylorubrum extorquens is an extensively studied facultative methylotroph, an organism that can use single-carbon compounds as their sole source of carbon and energy. In methylotrophic metabolism, carbon flows through formaldehyde as a central metabolite; thus, formaldehyde is both an obligate metabolite and a metabolic stressor. Via the one-carbon dissimilation pathway, free formaldehyde is rapidly incorporated by formaldehyde activating enzyme (Fae), which is constitutively expressed at high levels. In the presence of elevated formaldehyde levels, a recently identified formaldehyde-sensing protein, EfgA, induces growth arrest. Herein, we describe TtmR, a formaldehyde-responsive transcription factor that, like EfgA, modulates formaldehyde resistance. TtmR is a member of the MarR family of transcription factors and impacts the expression of 75 genes distributed throughout the genome, many of which are transcription factors and/or involved in stress response, including efgA. Notably, when M. extorquens is adapting its metabolic network during the transition to methylotrophy, efgA and ttmR mutants experience an imbalance in formaldehyde production and a notable growth delay. Although methylotrophy necessitates that M. extorquens maintain a relatively high level of formaldehyde tolerance, this work reveals a tradeoff between formaldehyde resistance and the efficient transition to methylotrophic growth and suggests that TtmR and EfgA play a pivotal role in maintaining this balance. ImportanceAll organisms produce formaldehyde as a byproduct of enzymatic reactions and as a degradation product of metabolites. The ubiquity of formaldehyde in cellular biology suggests all organisms have evolved mechanisms of mitigating formaldehyde toxicity. However, formaldehyde-sensing is poorly described and prevention of formaldehyde-induced damage is primarily understood in the context of detoxification. Here we use an organism that is regularly exposed to elevated intracellular formaldehyde concentrations through high-flux one-carbon utilization pathways to gain insight into the role of formaldehyde-responsive proteins that modulate formaldehyde resistance. Using a combination of genetic and transcriptomic analyses, we identify dozens of genes putatively involved in formaldehyde resistance, determined the relationship between two different formaldehyde response systems and identified an inherent tradeoff between formaldehyde resistance and optimal transition to methylotrophic metabolism.

microbiology↗

bioRxiv2020

EfgA is a conserved formaldehyde sensor that halts bacterial translation in response to elevated formaldehyde

Normal cellular processes give rise to toxic metabolites that cells must mitigate. Formaldehyde is a universal stressor and potent metabolic toxin that is generated in organisms from bacteria to humans. Methylotrophic bacteria such as Methylorubrum extorquens face an acute challenge due to their production of formaldehyde as an obligate central intermediate of single-carbon metabolism. Mechanisms to sense and respond to formaldehyde were speculated to exist in methylotrophs for decades but had never been discovered. Here we identify a member of the DUF336 domain family, named efgA for enhanced formaldehyde growth, that plays an important role in endogenous formaldehyde stress response in M. extorquens PA1 and is found almost exclusively in methylotrophic taxa. Our experimental analyses reveal that EfgA is a formaldehyde sensor that inhibits translation in response to elevated levels of formaldehyde. Heterologous expression of EfgA in Escherichia coli increases formaldehyde resistance, indicating that its interaction partners are widespread and conserved and may include translational machinery. EfgA represents the first example of a formaldehyde stress response system that does not involve enzymatic detoxification. Thus, EfgA comprises a unique stress response mechanism in bacteria, whereby a single protein directly senses elevated levels of a toxic intracellular metabolite and modulates translational activity.

microbiology↗

bioRxiv2019

An aerobic link between lignin degradation and C1 metabolism: growth on methoxylated aromatic compounds by members of the genus Methylobacterium

Pink-pigmented facultative methylotrophs have long been studied for their ability to grow on reduced single-carbon (C1) compounds. The C1 groups that support methylotrophic growth may come from a variety of sources. Here, we describe a group of Methylobacterium strains that can engage in methoxydotrophy: they can metabolize the methoxy groups from several aromatic compounds that are commonly the product of lignin depolymerization. In addition, these organisms can utilize the full aromatic ring as a growth substrate, a phenotype that has rarely been described in Methylobacterium. We demonstrated growth on p-hydroxybenzoate, protocatechuate, vanillate, and ferulate in laboratory culture conditions. We also used comparative genomics to explore the evolutionary history of this trait, finding that the capacity for aromatic catabolism is likely ancestral to two clades of Methylobacterium, but has also been acquired horizontally by closely related organisms. In addition, we surveyed the published metagenome data to find that the most abundant group of aromatic-degrading Methylobacterium in the environment is likely the group related to M. nodulans, and they are especially common in soil and root environments. The demethoxylation of lignin-derived aromatic monomers in aerobic environments releases formaldehyde, a metabolite that is a potent cellular toxin but that is also a growth substrate for methylotrophs. We found that, whereas some known lignin-degrading organisms excrete formaldehyde as a byproduct during growth on vanillate, Methylobacterium do not. This observation is especially relevant to our understanding of the ecology and the bioengineering of lignin degradation.

microbiology↗