Literature DB >> 17942680

The relationship between evolutionary and physiological variation in hemoglobin.

Ron Milo1, Jennifer H Hou, Michael Springer, Michael P Brenner, Marc W Kirschner.   

Abstract

Physiological and evolutionary adaptations operate at very different time scales. Nevertheless, there are reasons to believe there should be a strong relationship between the two, as together they modify the phenotype. Physiological adaptations change phenotype by altering certain microscopic parameters; evolutionary adaptation can either alter genetically these same parameters or others to achieve distinct or similar ends. Although qualitative discussions of this relationship abound, there has been very little quantitative analysis. Here, we use the hemoglobin molecule as a model system to quantify the relationship between physiological and evolutionary adaptations. We compare measurements of oxygen saturation curves of 25 mammals with those of human hemoglobin under a wide range of physiological conditions. We fit the data sets to the Monod-Wyman-Changeux model to extract microscopic parameters. Our analysis demonstrates that physiological and evolutionary change act on different parameters. The main parameter that changes in the physiology of hemoglobin is relatively constant in evolution, whereas the main parameter that changes in the evolution of hemoglobin is relatively constant in physiology. This orthogonality suggests continued selection for physiological adaptability and hints at a role for this adaptability in evolutionary change.

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Year:  2007        PMID: 17942680      PMCID: PMC2040440          DOI: 10.1073/pnas.0707673104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  18 in total

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Journal:  Jpn J Physiol       Date:  1999-08

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Journal:  J Mol Biol       Date:  1983-07-05       Impact factor: 5.469

6.  An expanded two-state allosteric model for interactions of human hemoglobin A with nonsaturating concentrations of 2,3-diphosphoglycerate.

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Journal:  J Biol Chem       Date:  1987-09-05       Impact factor: 5.157

7.  Significance of affinity and cooperativity in oxygen binding to hemoglobin of horse fetal and maternal blood.

Authors:  Yan Zhang; Keiko Kobayashi; Keisuke Sasagawa; Kiyohiro Imai; Michiyori Kobayashi
Journal:  Zoolog Sci       Date:  2003-09       Impact factor: 0.931

8.  Hsp90 as a capacitor of phenotypic variation.

Authors:  Christine Queitsch; Todd A Sangster; Susan Lindquist
Journal:  Nature       Date:  2002-05-12       Impact factor: 49.962

Review 9.  The stereochemical mechanism of the cooperative effects in hemoglobin revisited.

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Journal:  Annu Rev Biophys Biomol Struct       Date:  1998

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  19 in total

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Authors:  Dan S Tawfik
Journal:  Nat Chem Biol       Date:  2010-10       Impact factor: 15.040

2.  Allosteric proteins as logarithmic sensors.

Authors:  Noah Olsman; Lea Goentoro
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-07       Impact factor: 11.205

3.  Nitric oxide blocks cellular heme insertion into a broad range of heme proteins.

Authors:  Syed Mohsin Waheed; Arnab Ghosh; Ritu Chakravarti; Ashis Biswas; Mohammad Mahfuzul Haque; Koustubh Panda; Dennis J Stuehr
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4.  GroEL Allostery Illuminated by a Relationship between the Hill Coefficient and the MWC Model.

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Journal:  Biophys J       Date:  2019-10-22       Impact factor: 4.033

5.  Monod-Wyman-Changeux Analysis of Ligand-Gated Ion Channel Mutants.

Authors:  Tal Einav; Rob Phillips
Journal:  J Phys Chem B       Date:  2017-02-21       Impact factor: 2.991

6.  Partitioning the Hill coefficient into contributions from ligand-promoted conformational changes and subunit heterogeneity.

Authors:  Mousam Roy; Amnon Horovitz
Journal:  Protein Sci       Date:  2022-05       Impact factor: 6.725

7.  Mechanisms and evolution of hypoxia tolerance in fish.

Authors:  Milica Mandic; Anne E Todgham; Jeffrey G Richards
Journal:  Proc Biol Sci       Date:  2009-02-22       Impact factor: 5.349

8.  Competing views on cancer.

Authors:  Carlos Sonnenschein; Ana M Soto; Annapoorni Rangarajan; Prakash Kulkarni
Journal:  J Biosci       Date:  2014-04       Impact factor: 1.826

Review 9.  Probing allosteric mechanisms using native mass spectrometry.

Authors:  Michal Sharon; Amnon Horovitz
Journal:  Curr Opin Struct Biol       Date:  2015-05-22       Impact factor: 6.809

10.  Promoter nucleosome organization shapes the evolution of gene expression.

Authors:  Dalia Rosin; Gil Hornung; Itay Tirosh; Ariel Gispan; Naama Barkai
Journal:  PLoS Genet       Date:  2012-03-15       Impact factor: 5.917

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