Evidence map›Paper›PMID 33462313›Full record

ArticleScientific reports2021

Radiolysis generates a complex organosynthetic chemical network.

Zachary R Adam, Albert C Fahrenbach, Sofia M Jacobson, Betul Kacar, Dmitry Yu Zubarev

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Prebiotic Reaction Networks in Water.Life (Basel, Switzerland) · 2020
    Review
  11. A continuous reaction network that produces RNA precursors.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zachary R AdamDepartment of Planetary Sciences, University of Arizona, Tucson, AZ, 85721, USA. zadam@arizona.edu.
Albert C FahrenbachSchool of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia.
Sofia M JacobsonDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, 85721, USA.
Betul KacarDepartment of Planetary Sciences, University of Arizona, Tucson, AZ, 85721, USA.
Dmitry Yu ZubarevIBM Research-Almaden, 650 Harry Rd., San Jose, CA, 95120, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The architectural features of cellular life and its ecologies at larger scales are built upon foundational networks of reactions between molecules that avoid a collapse to equilibrium. The search for life's origins is, in some respects, a search for biotic network attributes in abiotic chemical systems. Radiation chemistry has long been employed to model prebiotic reaction networks, and here we report network-level analyses carried out on a compiled database of radiolysis reactions, acquired by the scientific community over decades of research. The resulting network shows robust connections between abundant geochemical reservoirs and the production of carboxylic acids, amino acids, and ribonucleotide precursors-the chemistry of which is predominantly dependent on radicals. Moreover, the network exhibits the following measurable attributes associated with biological systems: (1) the species connectivity histogram exhibits a heterogeneous (heavy-tailed) distribution, (2) overlapping families of closed-loop cycles, and (3) a hierarchical arrangement of chemical species with a bottom-heavy energy-size spectrum. The latter attribute is implicated with stability and entropy production in complex systems, notably in ecology where it is known as a trophic pyramid. Radiolysis is implicated as a driver of abiotic chemical organization and could provide insights about the complex and perhaps radical-dependent mechanisms associated with life's origins.

Identifiers

PMID33462313
PMCPMC7813863

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.