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Enregistrement W4412120931 · doi:10.5194/epsc-dps2025-411

Radiation-driven Prebiotic Chemistry and Biosignatures Detection

2025· preprint· en· W4412120931 sur OpenAlexaboutno aff
David Boulesteix, A. Buch, Guillaume Masson, Cyril Szopa, Caroline Freissinet, M. G. Trainer, Jennifer Eigenbrode, Luoth Chou

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomainePhysics and Astronomy
ThématiqueOrigins and Evolution of Life
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAstrobiologyPrebioticChemistryPhysicsFood science

Résumé

récupéré en direct d'OpenAlex

IntroductionEarth's prebiotic chemistry is based on water and thermal sources (internal or external to the Earth)1,2. In contrast, the prebiotic chemistry of extraterrestrial systems (Mars, Europa, Titan, Enceladus, etc.) is primarily driven by radiation sources3–5. Recent work leveraging Martian and ocean world natural and synthetic analog materials was used to classify biotic and abiotic organics in the context of multiple planetary missions (with Curiosity, Perseverance, Rosalind Franklin, and Dragonfly)6–9. Our experiments yielded a chemical network that abiotically produced building blocks of life (e.g., amino acids up to small-peptides and thiamine and nucleobases up to nucleotides) when synthetic analogs were hydrolyzed in contact with salts and/or exposed to X-/Ɣ-rays and proton irradiation7,10. The different irradiation simulations on natural and synthetic analog materials analyzed by spaceflight instruments and/or high-resolution mass spectrometry assessed the question: How fast may the transition from prebiotic abiotic chemistry to biotic chemistry take place? A “primitive biochemistry transition” would occur and contradicts the expectation of a clear biotic-abiotic boundary between the production of polymers abiotically and biologically in a primitive environment. Indeed, our experiments and some meteoritic data revealed the production of small biopolymers abiotically from a few hundred to tens of thousands of years10–12.Materials and MethodsTo address the influence of different radiation sources on organic matter transformation as a pure standard or in a matrix/medium analog to extraterrestrial surfaces, we got access to multiple radiation facilities (SOLEIL-France and CLS-Canada synchrotron for X-rays, GSFC-NASA-USA for Ɣ-ray and protons radiations) and analyzed with X-ray, infrared spectroscopy and GC-MS/orbitrap.To simulate Mars near surface environment, we first studied soft/mid X-rays that could be indirectly produced by the main elements in the Martian regolith (secondary X-rays by carbon (0.28 keV), silica (1.74 keV), sulfur (2.31 keV), chlorine (2.62 keV), or iron (6.40 keV)). Those experiments focused on amino acids (L-Ala, L or D/L-Phe), peptides (Ala-Gly), carboxylic acids (trimesic, lignoceric, and benzoic acids), nucleobases (adenine and uracil), and organics detected by the Sample Analysis at Mars (SAM) at Gale crater (chlorobenzene and thiophene).We then simulated the radiative conditions at higher energies for Mars and ocean worlds (using γ-rays at 1-300 krad equivalent to 6 months-1000 Titan years’ simulation, for instance, and protons at 200 MeV – e.g., a few Titan months) and chemical environment that tropospheric aerosols or surface deposits may undergo on Titan to forecast Dragonfly operations, analysis, and interpretations. ResultsLow radiation energies enhance the production of building blocks of life (e.g., nucleobases, amino acids, sugars) (Fig. 1).Low eradiation energies induce interactions between organic matter and inorganic soluble or solid material (bond and/or form organo-mineral/salt products).While low energy radiation enhanced the production of building blocks of life (BBLs), high energy radiation degraded faster the prebiotic precursors than produced the BBLs (Fig. 2). High radiation energies (photons and particles) benefit to the polymerization.ConclusionsWithin protected environments (e.g., Mars subsurface environments – below 10 cm – from SAM-MSL data and investigation for MOMA-ExoMars), biosignatures may be preserved for at least 100 million years thanks to salts.A “primitive biochemistry transition” may have occurred in crater impacts few billion years ago (e.g., at Gale and Jezero craters) and contradicts the expectation of a clear biotic-abiotic boundary between the production of polymers abiotically and biologically in a primitive environment. Indeed, our experiments and some meteoritic data revealed the abiotic production of small biopolymers from a few hundred to tens of thousands of years driven by radiation and a catalytic substrate.ReferencesWestall, F. et al. A Hydrothermal-Sedimentary Context for the Origin of Life. Astrobiology 18, 259–293 (2018). Westall, F., Brack, A., Fairén, A. G. & Schulte, M. D. Setting the geological scene for the origin of life and continuing open questions about its emergence. Frontiers in Astronomy and Space Sciences 9, (2023). Cooper, J. F., Johnson, R. E., Mauk, B. H., Garrett, H. B. & Gehrels, N. Energetic Ion and Electron Irradiation of the Icy Galilean Satellites. Icarus 149, 133–159 (2001). Cockell, C. S. & Andrady, A. L. The Martian and extraterrestrial UV radiation environment--1. Biological and closed-loop ecosystem considerations. Acta Astronaut 44, 53–62 (1999). Dartnell, L. R., Desorgher, L., Ward, J. M. & Coates, A. J. Modelling the surface and subsurface Martian radiation environment: Implications for astrobiology. Geophysical Research Letters 34, (2007). Boulesteix, D. et al. Geochemical and Metabolomic study of few Yellowstone spring systems over a range of pH. in Life in the Sub Surface: Habitats, Species, Metabolism and Survival Strategies (Angra do Heroismo, Portugal, 2023). Buch, A. et al. Influence of the secondary X-Rays on the organic matter at Mars’ near-surface. in AGU Fall Meeting 2022 P12A-08 (Chicago, United States, 2022). Boulesteix, D. et al. Extremophile Metabolite Study to Detect Potential Biosignatures and Interpret Future Gas Chromatography-Mass spectrometry Ocean Worlds in situ analysis (e.g. Dragonfly mission with its DraMS instrument and EuropaLander with its EMILI instrument). in AGU Fall Meeting Abstracts vol. 2022 P55G-1650 (2022). Millan, M. et al. Sedimentary Organics in Glen Torridon, Gale Crater, Mars: Results From the SAM Instrument Suite and Supporting Laboratory Analyses. Journal of Geophysical Research: Planets 127, e2021JE007107 (2022). Boulesteix, D. et al. Titan Simulation for DraMS Analysis and Prebiotic Chemistry Interpretation Using Analog Materials Exposed to Gamma-rays and Protons. AGU24 (2024). Schmitt-Kopplin, P. et al. High molecular diversity of extraterrestrial organic matter in Murchison meteorite revealed 40 years after its fall. Proceedings of the National Academy of Sciences 107, 2763–2768 (2010). Barks, H. L. et al. Guanine, adenine, and hypoxanthine production in UV-irradiated formamide solutions: relaxation of the requirements for prebiotic purine nucleobase formation. ChemBioChem 11, 1240–1243 (2010).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,482
Score d'incertitude au seuil0,590

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,234
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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