Abstract
Information, energy, and matter are fundamental properties of all levels of biological organization, and life emerges from the continuous flux of matter, energy, and information. This perspective piece defnes and explains each of the three pillars of this nexus. We propose that a quantitative characterization of the complex interconversions between matter, energy, and information that comprise this nexus will help us derive biological insights that connect phenomena across di?erent levels of biological organization. We articulate examples from multiple biological scales that highlight how this nexus approach leads to a more complete understanding of the biological system. Metrics of energy, information, and matter can provide a common currency that helps link phenomena across levels of biological organization. The propagation of energy and information through levels of biological organization can result in emergent properties and system-wide changes that impact other hierarchical levels. Deeper consideration of measured imbalances in energy, information, and matter can help researchers identify key factors that in?uence system function at one scale, highlighting avenues to link phenomena across levels of biological organization and develop predictive models of biological systems.
Original language | English (US) |
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Pages (from-to) | 2082-2094 |
Number of pages | 13 |
Journal | Integrative and comparative biology |
Volume | 61 |
Issue number | 6 |
DOIs | |
State | Published - Dec 1 2021 |
Bibliographical note
Funding Information:This work was supported by the following: CEW acknowledges support from an NSF OPUS grant (number DEB-1950170). MJO acknowledges support from NSF (grant numbers CHE-1905214 and CHE- 2030180). ABR acknowledges support from NSF grant (numbers DEB-1838327 and CMMI-2029756). NRB was supported by NSF (grant number IOS-1938948), USDA Hatch Multistate (NC1200 Photosynthetic Processes, grant number NEB-30 133), and Nebraska Center for Energy Sciences Research (Cycle 15) grants. KLH acknowledges support from an NSF OPUS grant (number DEB-1911619). SLZ was supported by NIH (grant number 1R15AI135885-01).
Publisher Copyright:
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved.