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Reintegrating Biology Through the Nexus of Energy, Information, and Matter.
Hoke, Kim L; Zimmer, Sara L; Roddy, Adam B; Ondrechen, Mary Jo; Williamson, Craig E; Buan, Nicole R.
Afiliação
  • Hoke KL; Department of Biology, Colorado State University, Fort Collins, CO 80523-1878, USA.
  • Zimmer SL; Department of Biomedical Sciences, University of Minnesota Medical School, Duluth campus, Duluth, MN 55812, USA.
  • Roddy AB; Department of Biological Sciences, Institute of Environment, Florida International University, Miami, FL 33199, USA.
  • Ondrechen MJ; Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.
  • Williamson CE; Department of Biology, Miami University, Oxford, OH 45056, USA.
  • Buan NR; Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0662, USA.
Integr Comp Biol ; 61(6): 2082-2094, 2022 02 05.
Article em En | MEDLINE | ID: mdl-34374780
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 defines 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 different 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 influence system function at one scale, highlighting avenues to link phenomena across levels of biological organization and develop predictive models of biological systems.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Integr Comp Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Integr Comp Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos