bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.06.30.735679

Adaptation of Methylobacterium extorquens to alternating carbon sources identifies the regulator CstR as an intersectional hub of cellular carbon metabolic dynamics and stress response

Abstract

Bacteria frequently face challenges adapting to changing environmental conditions, such as shifting resource utilization, to survive and thrive. Methylotrophs capable of growth on reduced single-carbon compounds are prevalent in the phyllosphere (aerial plant surfaces), where they face continual and predictable shifts in the availability of different plant-produced carbon sources. We examined the ability of the methylotroph Methylobacterium extorquens PA1 to adapt to repeated shifts between two different carbon and energy sources: the one-carbon compound methanol and the multi-carbon organic acid succinate, both present in the phyllosphere. Evolved lineages of wild-type cells all increased their capacity for rapid transition between the carbon sources through high frequencies of loss-of-function mutations affecting a previously uncharacterized gene, named cstR for carbon source transition regulator, which encodes an orphan single-domain response receiver. Characterization showed that mutant strains were more competitive bidirectionally in the succinate-methanol transition. Though evolved populations of the {Delta}efgA and {Delta}ttmR strains, which are defective in the succinate-to-methanol transition, experienced similar phenotypic improvements in carbon-source transitions, we did not observe cstR mutations rise to prominence as extensively or frequently in these lineages. Transcriptomic work revealed loss-of-function to cstR impacted expression of genes involved in motility/chemotaxis, energy metabolism, and stress response, among others, suggesting that it coordinates responses to metabolic cues that are prevalent in certain carbon source and growth phase transitions. Loss of cstR function did not compromise exogenous formaldehyde tolerance in the {Delta}efgA and {Delta}ttmR mutants, breaking a previously described tradeoff between these two phenotypes. However, this loss did lead to defects under exposure to certain stressors, including heat, desiccation, oxidative stress agents, and particularly pH stress. Altered levels of NAD+/NADH across conditions, improved growth under acidic pH, and diminished ATP and increased mortality under heightened pH together support a model where CstR is responsible for coordinating cell signaling to manage the balance between growth and maintaining stress resilience. ImportanceThe ability of heterotrophic bacteria to navigate transitions between different carbon sources is critical to their growth and success. Facultative methylotrophs can grow upon multiple types of carbon sources, including reduced single-carbon compounds, and frequently exist in host-beneficial associations on the leaf surfaces of plants. The exposure to the methylotrophic substrate methanol is known to come in temporal bursts for bacteria residing in the phyllosphere. The utilization of methanol is accompanied by obligatory conversion and exposure to the toxic compound formaldehyde. We sought to investigate the capacity of Methylobacterium extorquens to adapt to repetitive transitions between multi-carbon succinate and single-carbon methanol, and in the process identified a novel signaling protein: a single-domain response regulator receiver that mediates cellular growth response to carbon source transitions, at the cost of resistance to certain stressors including oxidative stress and alkaline pH exposure.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bruger, E. L., Ikobe, I., Hellenbrand, C. N., Zigmund, U., Bazurto, J. L.. 2026-07-01. Adaptation of Methylobacterium extorquens to alternating carbon sources identifies the regulator CstR as an intersectional hub of cellular carbon metabolic dynamics and stress response. https://doi.org/10.64898/2026.06.30.735679

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

Beta-lactam enhancement against methicillin-resistant Staphylococcus aureus by cell wall blockade is autolysis-dependent: a butyrolactone derivative as case in point

Methicillin-resistant Staphylococcus aureus (MRSA) is non-susceptible to beta-lactams. Blockade of cell wall biosynthesis is a potential target for beta-lactam enhancement but requires further investigation. A butyrolactone derivative enhanced beta-lactams against MRSA strains by reducing the availability of D-Ala-D-Ala. Unlike D-cycloserine, it did not inhibit D-Ala-D-Ala ligase (Ddl). Nor did it show an additive or synergistic effect when combined with cycloserine, indicating a unique mechanism for blocking cell wall precursor production that does not involve the traditional Lipid II pathway. Notably, beta-lactam potentiation by our chemical or D-cycloserine was highly dependent on the intrinsic autolytic ability of the tested MRSA strains. Strains that resisted lysis upon Triton X-100 exposure showed a minimal increase in beta-lactam susceptibility, whereas highly autolytic strains showed significant changes in their beta-lactam MICs. We have thus identified autolytic ability as the Achilles Heel in the strategy of targeting cell wall biosynthesis for beta-lactam potentiation.

microbiology↗

Rapid and largely reversible shifts in the canine fecal metabolome during dietary change

Diet can rapidly change the fecal metabolome, but less is known about recovery after the original diet is restored. We used untargeted UPLC-MS metabolomics to analyze 72 fecal samples from nine Pumi dogs during an owner-managed switch from dry food to raw food and back to dry food. Diet phase accounted for a large proportion of variation in both ionization modes. More than 13,000 LC-MS features changed at the first sampling point after the switch to raw food, with a similarly large response after return to dry food. Among features significant in both comparisons, more than 99% changed in opposite directions. At the final sampling point, no positive-mode (ESI+) features and only 13 negative-mode (ESI-) features differed from the second dry-food baseline under the same threshold. BARF-associated patterns persisted in analyses excluding individual dogs and in pedigree-adjusted candidate models, although individual feature effects depended on normalization. Putative metabolites from several biochemical classes differed in their response and recovery. The fecal metabolome therefore changed rapidly and returned largely toward baseline, with differences among dogs.

microbiology↗