Literature DB >> 15855389

The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization.

Geoffrey B West1, James H Brown.   

Abstract

Life is the most complex physical phenomenon in the Universe, manifesting an extraordinary diversity of form and function over an enormous scale from the largest animals and plants to the smallest microbes and subcellular units. Despite this many of its most fundamental and complex phenomena scale with size in a surprisingly simple fashion. For example, metabolic rate scales as the 3/4-power of mass over 27 orders of magnitude, from molecular and intracellular levels up to the largest organisms. Similarly, time-scales (such as lifespans and growth rates) and sizes (such as bacterial genome lengths, tree heights and mitochondrial densities) scale with exponents that are typically simple powers of 1/4. The universality and simplicity of these relationships suggest that fundamental universal principles underly much of the coarse-grained generic structure and organisation of living systems. We have proposed a set of principles based on the observation that almost all life is sustained by hierarchical branching networks, which we assume have invariant terminal units, are space-filling and are optimised by the process of natural selection. We show how these general constraints explain quarter power scaling and lead to a quantitative, predictive theory that captures many of the essential features of diverse biological systems. Examples considered include animal circulatory systems, plant vascular systems, growth, mitochondrial densities, and the concept of a universal molecular clock. Temperature considerations, dimensionality and the role of invariants are discussed. Criticisms and controversies associated with this approach are also addressed.

Mesh:

Year:  2005        PMID: 15855389     DOI: 10.1242/jeb.01589

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  141 in total

1.  An information-theoretic approach to evaluating the size and temperature dependence of metabolic rate.

Authors:  Craig R White; Peter B Frappell; Steven L Chown
Journal:  Proc Biol Sci       Date:  2012-06-06       Impact factor: 5.349

Review 2.  Human brain evolution: from gene discovery to phenotype discovery.

Authors:  Todd M Preuss
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

Review 3.  Biomimetics: its practice and theory.

Authors:  Julian F V Vincent; Olga A Bogatyreva; Nikolaj R Bogatyrev; Adrian Bowyer; Anja-Karina Pahl
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

Review 4.  Driving forces from soil invertebrates to ecosystem functioning: the allometric perspective.

Authors:  Christian Mulder
Journal:  Naturwissenschaften       Date:  2006-07-19

5.  Little left in the tank: metabolic scaling in marine teleosts and its implications for aerobic scope.

Authors:  Shaun S Killen; Isabel Costa; Joseph A Brown; A Kurt Gamperl
Journal:  Proc Biol Sci       Date:  2007-02-07       Impact factor: 5.349

Review 6.  Darwin's dilemma: the realities of the Cambrian 'explosion'.

Authors:  Simon Conway Morris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-06-29       Impact factor: 6.237

7.  Scaling the metabolic balance of the oceans.

Authors:  Angel López-Urrutia; Elena San Martin; Roger P Harris; Xabier Irigoien
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

8.  Quantifying the development of the peripheral naive CD4+ T-cell pool in humans.

Authors:  Iren Bains; Rustom Antia; Robin Callard; Andrew J Yates
Journal:  Blood       Date:  2009-01-28       Impact factor: 22.113

9.  Engineering challenges for instrumenting and controlling integrated organ-on-chip systems.

Authors:  John P Wikswo; Frank E Block; David E Cliffel; Cody R Goodwin; Christina C Marasco; Dmitry A Markov; David L McLean; John A McLean; Jennifer R McKenzie; Ronald S Reiserer; Philip C Samson; David K Schaffer; Kevin T Seale; Stacy D Sherrod
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-01       Impact factor: 4.538

10.  Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues.

Authors:  Ravi P Subramaniam; Chao Chen; Kenny S Crump; Danielle Devoney; John F Fox; Christopher J Portier; Paul M Schlosser; Chad M Thompson; Paul White
Journal:  Risk Anal       Date:  2008-06-28       Impact factor: 4.000

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