Reconciling a Model of Core Metabolism with Growth Yield Predicts Biochemical Mechanisms and Efficiency for a Versatile Chemoautotroph
Bibliographic record
Abstract
Abstract Obligately chemoautotrophic Campylobacteria dominate productivity in dark, sulfidic, and oxygen-depleted environments. However, biochemical mechanisms underlying their growth remain poorly known, limiting understanding of their physiology, ecology, and biogeochemical impact. In this study, we used comparative genomics, conceptual modeling of core metabolism, and chemostat growth yields to derive a model of energy conservation consistent with experimental data for the versatile chemoautotroph Sulfurimonas denitrificans . Our model rests on three core mechanisms: Firstly, to allow electrogenic sulfur-based denitrification, we predict that the campylobacterial-type sulfur oxidation enzyme complex must donate electrons to the membrane quinone pool, possibly via a sulfide:quinone oxidoreductase. Secondly, to account for the unexpectedly low growth efficiency of aerobic sulfur oxidation compared to denitrification, we posit the high-affinity campylobacterial-type cbb 3 cytochrome c oxidase has a relatively low H+/e− of 1, likely due to a lack of proton pumping under physiological conditions. Thirdly, we hypothesize that reductant for carbon fixation by the reverse tricarboxylic acid cycle is produced by a non-canonical complex I that reduces both ferredoxin and NAD(P)H. This complex is conserved among related Campylobacteria and may have allowed for the radiation of organisms like S. denitrificans into sulfur-rich environments that became available after the great oxidation event. Our theoretical model has two major implications. Firstly, it sets the stage for future experimental work by providing testable hypotheses about the physiology, biochemistry, and evolution of chemoautotrophic Campylobacteria . Secondly, it provides constraints on the carbon fixation potential of chemoautotrophic Campylobacteria in sulfidic environments worldwide by predicting theoretical ranges of chemosynthetic growth efficiency. Significance Chemoautotrophic Campylobacteria are abundant in many low-oxygen, high-sulfide environments where they contribute significantly to dark carbon fixation. Although the overall redox reactions they catalyze are known, the specific biochemical mechanisms that support their growth are mostly unknown. Our study combines conceptual modeling of core metabolic pathways, comparative genomics, and measurements of physiological growth yield in a chemostat to infer the most likely mechanisms of chemoautotrophic energy conservation in the model organism Sulfurimonas denitrificans . The hypotheses proposed herein are novel, experimentally falsifiable, and will guide future biochemical, physiological, and environmental modelling studies. Ultimately, investigating the core mechanisms of energy conservation will help us better understand the evolution and physiological diversification of chemoautotrophic Campylobacteria and their role in modern ecosystems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".