Search bioRxivSearch

bioRxiv · 10.1101/2020.02.07.939629

Optimal microbial pathway variants can be determined by large-scale bioenergetic evaluation in syntrophic propionate oxidation

Abstract

The complete understanding of microbial propionate oxidation in syntrophy with hydrogenotrophic methanogenesis remains elusive due to uncertainties in pathways and mechanisms for interspecies electron transfer (IET). Possible pathway variants differ in their intermediate metabolites, on which electron carriers are involved and in which steps are coupled to (and to how many) proton translocations. In this work, a systematic methodology was developed (based on sound biochemical, physiological and bioenergetic principles) to evaluate the feasibility and net ATP yield of large sets of pathway variants under different physiological and environmental conditions. A pathway variant is deemed feasible under given conditions only if all pathway reaction steps have non-positive Gibbs energy change and if all the metabolite concentrations remain within an acceptable physiological range (10-6 to 10-2 M). Several million combinations of pathway variants and parameters/conditions were evaluated for propionate oxidation, providing an unprecedented mechanistic insight into its biochemical and bioenergetic landscape. Propionate oxidation via lactate appeared as the most ATP yielding pathway under most of the conditions evaluated. Results under typical methanogenic conditions indicate that syntrophic propionate oxidation can sustain life only at hydrogen partial pressures within the range of 1.2 to 4 Pa. These extremely low concentrations constitute a kinetic impossibility and strongly suggest for IET mechanisms other than dissolved hydrogen. ImportanceIn this work an original methodology was developed that quantifies the bioenergetically and physiologically feasible net ATP yields for large numbers of microbial metabolic pathways and their variants under different conditions. This ensures global optimality in finding the pathway variant(s) leading to the highest ATP yield. The methodology is especially relevant to hypothesise which microbial pathway variants are most likely to prevail in microbial ecosystems under high selective pressure for efficient metabolic energy conservation. Syntrophic microbial oxidation of propionate to acetate has extremely low energy available and requires very high metabolic efficiency in order to sustain life. Our results bring mechanistic insights into the optimum pathway variants and the impact of environmental conditions on the ATP yields and other metabolic bottlenecks. Additionally, our results conclude that IET mechanisms other than hydrogen must exist to simultaneously sustain the growth of both propionate oxidisers and hydrogenotrophic methanogens.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Paton, M., Hernandez, H. H., Rodriguez, J.. 2020-02-12. Optimal microbial pathway variants can be determined by large-scale bioenergetic evaluation in syntrophic propionate oxidation. https://doi.org/10.1101/2020.02.07.939629

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

KEEP EXPLORING

Related preprints

Comparative study of chlorophyll measurement in Physcomitrium patens moss using a conventional microscope adapted for combined 2D+1D imaging and spectral analysis

Imaging spectroscopy often requires expensive and complex equipment. Here we show a simple procedure for attaching a standard miniature fiber spectrometer to a conventional microscope, allowing easy integration of 2D imaging with 1D high-resolution spectral measurements. This combination provides much of the benefit of a full imaging spectrometer without the large equipment investment, and we provide instructions for modifying microscopes to this setup and the present measurements of living cells that demonstrate their performance. Using this setup, we compare the quantitative measurement of chlorophyll concentration in Physcomitrium patens moss using color imaging and spectral sampling.

bioengineering

De novo designed single-domain antibodies protect against lethal cobra venom neurotoxicity in vivo

Generative protein design can now rapidly produce de novo binders with high affinity and functional activity against a wide range of targets, including lethal snake venom toxins. However, so far most reported successes rely on new-to-nature scaffolds with limited therapeutic precedent. Single-domain antibodies (VHHs) offer a clinically validated alternative scaffold that can bind and neutralize long-chain -neurotoxins, which are some of the most lethal components in snake venoms. Here we compare three recently established de novo design models with VHH-design capabilities (Germinal, RFantibody, and BoltzGen) for their ability to generate VHHs against the neurotoxin -cobratoxin from the monocled cobra (Naja kaouthia). Using standardized model inputs and evaluation criteria based on AlphaFold3 interface confidence (ipTM) and RMSD self-consistency, we find that Germinal was the only method to generate designs passing stringent in silico criteria for experimental testing. We therefore performed a larger Germinal design campaign employing three different VHH frameworks and experimentally validated 46 designs in vitro. Of these, 42 expressed as soluble proteins and we identified four binding hits derived from two of the three tested frameworks. Of the four binders, two lead candidates were further characterized and demonstrated high affinity (KDs of 4.1 nM and 10.8 nM), monomeric behavior and low polyreactivity, indicating favorable biophysical and developability properties, as well as functional toxin neutralization in vitro. To assess their therapeutic potential we investigated their ability to protect against -cobratoxin toxicity in vivo. Both candidates fully protected mice after -cobratoxin challenge, with 100% survival compared to a lethal control. One candidate also retained notable neutralization capacity against whole venom of Naja kaouthia with a survival of 56%, while the other protected 22% when tested in a rescue setting. Together, we demonstrate that de novo VHH design can generate high affinity single-domain antibodies with in vivo protection against lethal cobra venom neurotoxicity, and provide practical insights into method- and framework-dependent performance.

bioengineering

Simple Feedback for Complex Movement: Capturing Whole-Limb Reorganization during Single-IMU Gait Retraining

Clinical gait retraining typically relies on multi-sensor arrays and high-dimensional feedback displays, imposing setup and interpretation burdens that limit routine clinical deployment. We developed a single-IMU visual biofeedback system that delivers real-time feedback of Lower Limb Trajectory Error (LLTE), a composite kinematic error metric integrating knee position and shank angle across the stance phase. Twenty able-bodied adults walked on a treadmill under two visual biofeedback targets (flexed-knee, extended-knee) while receiving either corrected (n=10) or uncorrected (n=8) feedback, where the correction accounted for limb orientation at initial contact. LLTE and stance-phase knee kinematics adapted consistently under the flexed-knee target for both feedback groups, with feedback formulation moderating the temporal trajectory of change. Adaptation toward the extended-knee target was limited, likely because participants were already operating near terminal knee extension and because the scalar error metric provided limited directional information for correction. Ankle range of motion (ROM) changed significantly across the stance phase under both target conditions, while hip ROM did not. Multiscale multivariate sample entropy (MSMVSE) increased monotonically with time scale across all conditions, with no statistically distinguishable difference between corrected and uncorrected feedback. These results suggest that single-IMU LLTE biofeedback can modify gait mechanics and that adaptation was expressed across multiple lower-limb segments rather than through changes at a single joint.

bioengineering