Literature DB >> 23448890

General models for the spectra of surface area scaling strategies of cells and organisms: fractality, geometric dissimilitude, and internalization.

Jordan G Okie1.   

Abstract

Surface areas and volumes of biological systems-from molecules to organelles, cells, and organisms-affect their biological rates and kinetics. Therefore, surface area-to-volume ratios and the scaling of surface area with volume profoundly influence ecology, physiology, and evolution. The zeroth-order geometric expectation is that surface area scales with body mass or volume as a power law with an exponent of two-thirds, with consequences for surface area-to-volume (SA : V) ratios and constraints on size; however, organisms have adaptations for altering the surface area scaling and SA : V ratios of their bodies and structures. The strategies fall into three groups: (1) fractal-like surface convolutions and crinkles; (2) classic geometric dissimilitude through elongating, flattening, fattening, and hollowing; and (3) internalization of surfaces. Here I develop general quantitative theory to model the spectra of effects of these strategies on SA : V ratios and surface area scaling, from exponents of less than two-thirds to superlinear scaling and mixed-power laws. Applying the theory to cells helps quantitatively evaluate the effects of membrane fractality, shape-shifting, vacuoles, vesicles, and mitochondria on surface area scaling, informing understanding of cell allometry, morphology, and evolution. Analysis of compiled data indicates that through hollowness and surface internalization, eukaryotic phytoplankton increase their effective surface area scaling, attaining near-linear scaling in larger cells. This unifying theory highlights the fundamental role of biological surfaces in metabolism and morphological evolution.

Mesh:

Year:  2013        PMID: 23448890     DOI: 10.1086/669150

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  16 in total

1.  Shape shifting predicts ontogenetic changes in metabolic scaling in diverse aquatic invertebrates.

Authors:  Douglas S Glazier; Andrew G Hirst; David Atkinson
Journal:  Proc Biol Sci       Date:  2015-03-07       Impact factor: 5.349

2.  Ecological pressures and the contrasting scaling of metabolism and body shape in coexisting taxa: cephalopods versus teleost fish.

Authors:  Hanrong Tan; Andrew G Hirst; Douglas S Glazier; David Atkinson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-17       Impact factor: 6.237

3.  A lognormal distribution of the lengths of terminal twigs on self-similar branches of elm trees.

Authors:  Kohei Koyama; Ken Yamamoto; Masayuki Ushio
Journal:  Proc Biol Sci       Date:  2017-01-11       Impact factor: 5.349

4.  Major evolutionary transitions of life, metabolic scaling and the number and size of mitochondria and chloroplasts.

Authors:  Jordan G Okie; Val H Smith; Mercedes Martin-Cereceda
Journal:  Proc Biol Sci       Date:  2016-05-25       Impact factor: 5.349

5.  Comparison of metabolic scaling between triploid and diploid common carp.

Authors:  Yanqiu Zhu; Wei Xiong; Yuan Xu; Pan Zhang; Jianghui Zhang; Yiping Luo
Journal:  J Comp Physiol B       Date:  2021-04-03       Impact factor: 2.200

6.  Metabolic scaling theory in plant biology and the three oxygen paradoxa of aerobic life.

Authors:  Ulrich Kutschera; Karl J Niklas
Journal:  Theory Biosci       Date:  2013-08-27       Impact factor: 1.919

7.  Stoichiometric flexibility in diverse aquatic heterotrophic bacteria is coupled to differences in cellular phosphorus quotas.

Authors:  Casey M Godwin; James B Cotner
Journal:  Front Microbiol       Date:  2015-02-27       Impact factor: 5.640

8.  Biological scaling in green algae: the role of cell size and geometry.

Authors:  Helena Bestová; Jules Segrestin; Klaus von Schwartzenberg; Pavel Škaloud; Thomas Lenormand; Cyrille Violle
Journal:  Sci Rep       Date:  2021-07-13       Impact factor: 4.379

9.  Space-filling and benthic competition on coral reefs.

Authors:  Emma E George; James A Mullinix; Fanwei Meng; Barbara A Bailey; Clinton Edwards; Ben Felts; Andreas F Haas; Aaron C Hartmann; Benjamin Mueller; Ty N F Roach; Peter Salamon; Cynthia Silveira; Mark J A Vermeij; Forest Rohwer; Antoni Luque
Journal:  PeerJ       Date:  2021-06-29       Impact factor: 2.984

Review 10.  Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.

Authors:  Konradin Metze
Journal:  Expert Rev Mol Diagn       Date:  2013-09       Impact factor: 5.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.