Literature DB >> 11029067

Measuring shifts in function and evolutionary opportunity using variability profiles: a case study of the globins.

G J Naylor1, M Gerstein.   

Abstract

Variability profiles measured over a set of aligned sequences can be used to estimate evolutionary freedom to vary. Differences in variability profiles between clades can be used to identify shifts in function at the molecular level. We demonstrate such a shift between the alpha and beta subunits of hemoglobin. We also show that the variability profiles for myoglobin are different between whales and primates and speculate that the differences between the two clades may reflect a shift associated with the novel oxygen storage demands in the lineage leading to whales. We discuss the relationship between sequence variability and "evolutionary opportunity" and explore the utility of Maynard Smith's multidimensional evolutionary opportunity space metaphor for exploring functional constraints, genetic redundancy, and the context dependency of the genotype-phenotype map. This work has implications for quantitatively defining and comparing protein function. Supplementary data is available from bioinfo.mbb.yale. edu/align.

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Year:  2000        PMID: 11029067     DOI: 10.1007/s002390010084

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  9 in total

1.  Thermal denaturation and autoxidation profiles of carangid fish myoglobins.

Authors:  Muhammad Mehedi Hasan; Purnama Arafah; Hideo Ozawa; Hideki Ushio; Yoshihiro Ochiai
Journal:  Fish Physiol Biochem       Date:  2021-01-30       Impact factor: 2.794

2.  Functional divergence in the caspase gene family and altered functional constraints: statistical analysis and prediction.

Authors:  Y Wang; X Gu
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

3.  Accelerated evolutionary rate of the myoglobin gene in long-diving whales.

Authors:  Mariana F Nery; José Ignacio Arroyo; Juan C Opazo
Journal:  J Mol Evol       Date:  2013-07-16       Impact factor: 2.395

4.  Character-state space versus rate of evolution in phylogenetic inference.

Authors:  Mark P Simmons; Aaron Reeves; Jerrold I Davis
Journal:  Cladistics       Date:  2004-04       Impact factor: 5.254

5.  A gene-specific DNA sequencing chip for exploring molecular evolutionary change.

Authors:  Olivier Fedrigo; Gavin Naylor
Journal:  Nucleic Acids Res       Date:  2004-02-18       Impact factor: 16.971

6.  PROCOV: maximum likelihood estimation of protein phylogeny under covarion models and site-specific covarion pattern analysis.

Authors:  Huai-Chun Wang; Edward Susko; Andrew J Roger
Journal:  BMC Evol Biol       Date:  2009-09-08       Impact factor: 3.260

7.  A model for protein sequence evolution based on selective pressure for protein stability: application to hemoglobins.

Authors:  Lorraine Marsh
Journal:  Evol Bioinform Online       Date:  2009-08-27       Impact factor: 1.625

8.  Positively selected sites in cetacean myoglobins contribute to protein stability.

Authors:  Pouria Dasmeh; Adrian W R Serohijos; Kasper P Kepp; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2013-03-07       Impact factor: 4.475

Review 9.  Tracking adaptive evolutionary events in genomic sequences.

Authors:  David A Liberles; Marta L Wayne
Journal:  Genome Biol       Date:  2002-05-29       Impact factor: 13.583

  9 in total

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