ArticleScience advances2019
Universal scaling across biochemical networks on Earth.
Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed.
- Quantitative principles of microbial metabolism shared across scales.Nature microbiology · 2024Review
- Gene expression networks regulated by human personality.Molecular psychiatry · 2024Review
- Exploring Emergent Properties in Enzymatic Reaction Networks: Design and Control of Dynamic Functional Systems.Chemical reviews · 2024Review
- Planetary Scale Information Transmission in the Biosphere and Technosphere: Limits and Evolution.Life (Basel, Switzerland) · 2023Article
- Network Analysis Reveals Spatial Clustering and Annotation of Complex Chemical Spaces: Application to Astrochemistry.Analytical chemistry · 2022Article
- What makes a reaction network "chemical"?Journal of cheminformatics · 2022Article
- Formalising the Pathways to Life Using Assembly Spaces.Entropy (Basel, Switzerland) · 2022Article
- Scaling laws in enzyme function reveal a new kind of biochemical universality.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Feature importance network reveals novel functional relationships between biological features inFrontiers in plant science · 2022Article
- A Drive towards Thermodynamic Efficiency for Dissipative Structures in Chemical Reaction Networks.Entropy (Basel, Switzerland) · 2021Article
- Identifying molecules as biosignatures with assembly theory and mass spectrometry.Nature communications · 2021Article
- Generalized Stoichiometry and Biogeochemistry for Astrobiological Applications.Bulletin of mathematical biology · 2021Article
- Scarcity of scale-free topology is universal across biochemical networks.Scientific reports · 2021Article
- Prebiotic Reaction Networks in Water.Life (Basel, Switzerland) · 2020Review
- Future climates: Markov blankets and active inference in the biosphere.Journal of the Royal Society, Interface · 2020Article
- Spontaneous formation of autocatalytic sets with self-replicating inorganic metal oxide clusters.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Defining Lyfe in the Universe: From Three Privileged Functions to Four Pillars.Life (Basel, Switzerland) · 2020Article
- The Future of Origin of Life Research: Bridging Decades-Old Divisions.Life (Basel, Switzerland) · 2020Article
- Article
- Exoplanet Biosignatures: At the Dawn of a New Era of Planetary Observations.Astrobiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of network science to biology has advanced our understanding of the metabolism of individual organisms and the organization of ecosystems but has scarcely been applied to life at a planetary scale. To characterize planetary-scale biochemistry, we constructed biochemical networks using a global database of 28,146 annotated genomes and metagenomes and 8658 cataloged biochemical reactions. We uncover scaling laws governing biochemical diversity and network structure shared across levels of organization from individuals to ecosystems, to the biosphere as a whole. Comparing real biochemical reaction networks to random reaction networks reveals that the observed biological scaling is not a product of chemistry alone but instead emerges due to the particular structure of selected reactions commonly participating in living processes. We show that the topology of biochemical networks for the three domains of life is quantitatively distinguishable, with >80% accuracy in predicting evolutionary domain based on biochemical network size and average topology. Together, our results point to a deeper level of organization in biochemical networks than what has been understood so far.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.