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Universal scaling across biochemical networks on Earth

Hyunju Kim, Harrison B. Smith, Cole Mathis, Jason Raymond, View ORCID ProfileSara I. Walker
doi: https://doi.org/10.1101/212118
Hyunju Kim
1Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe AZ USA
2School of Earth and Space Exploration, Arizona State University, Tempe AZ USA
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Harrison B. Smith
2School of Earth and Space Exploration, Arizona State University, Tempe AZ USA
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Cole Mathis
1Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe AZ USA
3Department of Physics, Arizona State University, Tempe AZ USA
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Jason Raymond
2School of Earth and Space Exploration, Arizona State University, Tempe AZ USA
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Sara I. Walker
1Beyond Center for Fundamental Concepts in Science, Arizona State University, Tempe AZ USA
2School of Earth and Space Exploration, Arizona State University, Tempe AZ USA
4Blue Marble Space Institute of Science, Seattle WA USA
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  • ORCID record for Sara I. Walker
  • For correspondence: sara.i.walker@asu.edu
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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 8,658 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 networks to random chemical networks reveals the observed biological scaling is not solely a product of the biochemistry shared across life on Earth. Instead, it emerges due to how the global inventory of biochemical reactions is partitioned into individuals. We show the three domains of life are topologically distinguishable, with > 80% accuracy in predicting evolutionary domain based on biochemical network size and average topology. Taken together our results point to a deeper level of organization in biochemical networks than what has been understood so far.

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Posted March 03, 2018.
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Universal scaling across biochemical networks on Earth
Hyunju Kim, Harrison B. Smith, Cole Mathis, Jason Raymond, Sara I. Walker
bioRxiv 212118; doi: https://doi.org/10.1101/212118
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Universal scaling across biochemical networks on Earth
Hyunju Kim, Harrison B. Smith, Cole Mathis, Jason Raymond, Sara I. Walker
bioRxiv 212118; doi: https://doi.org/10.1101/212118

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