Pinpointing Conditions for a Metabolic Origin of Life: Underlying Mechanisms and the Role of Coenzymes
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Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Conspectus Famously found written on the blackboard of physicist Richard Feynman after his death was the phrase, “What I cannot create, I do not understand.” From this perspective, recreating the origin of life in the lab is a necessary condition for achieving a deep theoretical understanding of biology. The “metabolism-first” hypothesis is one of the leading frameworks for the origin of life. A complex self-organized reaction network is thought to have been driven into existence as a chemical path of least resistance to release free energy in the environment that could otherwise not be dissipated, rerouting energy from planetary processes to organic chemistry. To increase in complexity, the reaction network, initially under catalysis provided by its geochemical environment, must have produced organic catalysts that pruned the existing flux through the network or expanded it in new directions. This boot-strapping process would gradually lessen the dependence on the initial catalytic environment and allow the reaction network to persist using catalysts of its own making. Eventually, this process leads to the seemingly inseparable interdependence at the heart of biology between catalysts (coenzymes, enzymes, genes) and the metabolic pathways that synthesize them. Experimentally, the primary challenge is to recreate the conditions where such a network emerged. However, the near infinite number of microenvironments and sources of energy available on the early Earth or elsewhere poses an enormous combinatorial challenge. To constrain the search, our lab has been surveying conditions where the reactions making up the core of some of the most ancient chemolithoautotrophic metabolisms, which consist of only a small number of repeating chemical mechanisms, occur nonenzymatically. To give a fresh viewpoint in the first part of this account, we have organized the results of our search (along with important results from other laboratories) by reaction mechanism, rather than by pathway. We expect that identifying a common set of conditions for each type of reaction mechanism will help pinpoint the conditions for the emergence of a self-organized reaction network resembling core metabolism. Many of the reaction mechanisms were found to occur in a wide variety of nonenzymatic conditions. Others, such as carboxylate phosphorylation and C–C bond formation from CO 2, were found to be the most constraining, and thus help narrow the scope of environments where a reaction network could emerge. In the second part of this account, we highlight examples where small molecules produced by metabolism, known as coenzymes, mediate nonenzymatic chemistry of the type needed for the coenzyme’s own synthesis or that turn on new reactivity of interest for expanding a hypothetical protometabolic network. These examples often feature cooperativity between small organic coenzymes and metal ions, recapitulating the transition from inorganic to organic catalysis during the origin of life. Overall, the most interesting conditions are those containing a reducing potential equivalent to H 2 gas (electrochemical or H 2 itself), Fe in both reduced and more oxidized forms (possibly with other metals like Ni) and localized strong electric fields. Environments that satisfy these criteria simultaneously will be of prime interest for reconstructing a metabolic origin of life.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it