Abstract
Biochemical reactions underlie all living processes. Like many systems, their web of interactions is difficult to fully capture and quantify with simple mathematical objects. Nonetheless, a huge volume of research has suggested many real-world systems-including biochemical systems-can be described simply as 'scale-free' networks, characterized by power-law degree distributions. More recently, rigorous statistical analyses upended this view, suggesting truly scale-free networks may be rare. We provide a first application of these newer methods across two distinct levels of biological organization: analyzing an ensemble of biochemical reaction networks generated from 785 ecosystem-level metagenomes and 1082 individual-level genomes (representing all domains of life). Our results confirm only a few percent of biochemical networks meet the criteria necessary to be more than super-weakly scale-free. We perform distinguishability tests across individual and ecosystem-level biochemical networks and find there is no sharp transition in the organization of biochemistry across distinct levels of the biological hierarchy-a result that holds across network projections. This suggests the existence of common organizing principles operating across different levels of biology, which can best be elucidated by analyzing all possible coarse-grained projections of biochemistry in tandem across scales.
Original language | English (US) |
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Pages | 282-283 |
Number of pages | 2 |
State | Published - 2020 |
Event | 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 - Newcastle upon Tyne, United Kingdom Duration: Jul 29 2019 → Aug 2 2019 |
Conference
Conference | 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019 |
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Country/Territory | United Kingdom |
City | Newcastle upon Tyne |
Period | 7/29/19 → 8/2/19 |
ASJC Scopus subject areas
- Modeling and Simulation