Literature DB >> 23355009

Membrane environment imposes unique selection pressures on transmembrane domains of G protein-coupled receptors.

Stephanie J Spielman1, Claus O Wilke.   

Abstract

We have investigated the influence of the plasma membrane environment on the molecular evolution of G protein-coupled receptors (GPCRs), the largest receptor family in Metazoa. In particular, we have analyzed the site-specific rate variation across the two primary structural partitions, transmembrane (TM) and extramembrane (EM), of these membrane proteins. We find that TM domains evolve more slowly than do EM domains, though TM domains display increased rate heterogeneity relative to their EM counterparts. Although the majority of residues across GPCRs experience strong to weak purifying selection, many GPCRs experience positive selection at both TM and EM residues, albeit with a slight bias towards the EM. Further, a subset of GPCRs, chemosensory receptors (including olfactory and taste receptors), exhibit increased rates of evolution relative to other GPCRs, an effect which is more pronounced in their TM spans. Although it has been previously suggested that the TM's low evolutionary rate is caused by their high percentage of buried residues, we show that their attenuated rate seems to stem from the strong biophysical constraints of the membrane itself, or by functional requirements. In spite of the strong evolutionary constraints acting on the TM spans of GPCRs, positive selection and high levels of evolutionary rate variability are common. Thus, biophysical constraints should not be presumed to preclude a protein's ability to evolve.

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Year:  2013        PMID: 23355009      PMCID: PMC3712645          DOI: 10.1007/s00239-012-9538-8

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


  50 in total

1.  Selective constraints, amino acid composition, and the rate of protein evolution.

Authors:  N J Tourasse; W H Li
Journal:  Mol Biol Evol       Date:  2000-04       Impact factor: 16.240

2.  Codon-substitution models for heterogeneous selection pressure at amino acid sites.

Authors:  Z Yang; R Nielsen; N Goldman; A M Pedersen
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

3.  A network of conserved intramolecular contacts defines the off-state of the transmembrane switch mechanism in a seven-transmembrane receptor.

Authors:  Z L Lu; E C Hulme
Journal:  J Biol Chem       Date:  2000-02-25       Impact factor: 5.157

4.  Structural imperatives impose diverse evolutionary constraints on helical membrane proteins.

Authors:  Amit Oberai; Nathan H Joh; Frank K Pettit; James U Bowie
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-06       Impact factor: 11.205

5.  An alignment confidence score capturing robustness to guide tree uncertainty.

Authors:  Osnat Penn; Eyal Privman; Giddy Landan; Dan Graur; Tal Pupko
Journal:  Mol Biol Evol       Date:  2010-03-05       Impact factor: 16.240

6.  The relationship between relative solvent accessibility and evolutionary rate in protein evolution.

Authors:  Duncan C Ramsey; Michael P Scherrer; Tong Zhou; Claus O Wilke
Journal:  Genetics       Date:  2011-04-05       Impact factor: 4.562

7.  Improving the performance of positive selection inference by filtering unreliable alignment regions.

Authors:  Eyal Privman; Osnat Penn; Tal Pupko
Journal:  Mol Biol Evol       Date:  2011-07-19       Impact factor: 16.240

8.  Integrating sequence variation and protein structure to identify sites under selection.

Authors:  Austin G Meyer; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2012-09-12       Impact factor: 16.240

9.  Determinants of substitution rates in mammalian genes: expression pattern affects selection intensity but not mutation rate.

Authors:  L Duret; D Mouchiroud
Journal:  Mol Biol Evol       Date:  2000-01       Impact factor: 16.240

10.  Maximum allowed solvent accessibilites of residues in proteins.

Authors:  Matthew Z Tien; Austin G Meyer; Dariya K Sydykova; Stephanie J Spielman; Claus O Wilke
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

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  13 in total

1.  Limited utility of residue masking for positive-selection inference.

Authors:  Stephanie J Spielman; Eric T Dawson; Claus O Wilke
Journal:  Mol Biol Evol       Date:  2014-06-03       Impact factor: 16.240

2.  Calculating site-specific evolutionary rates at the amino-acid or codon level yields similar rate estimates.

Authors:  Dariya K Sydykova; Claus O Wilke
Journal:  PeerJ       Date:  2017-05-30       Impact factor: 2.984

3.  Measuring evolutionary rates of proteins in a structural context.

Authors:  Dariya K Sydykova; Benjamin R Jack; Stephanie J Spielman; Claus O Wilke
Journal:  F1000Res       Date:  2017-10-16

4.  Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design.

Authors:  Amir Shahmoradi; Dariya K Sydykova; Stephanie J Spielman; Eleisha L Jackson; Eric T Dawson; Austin G Meyer; Claus O Wilke
Journal:  J Mol Evol       Date:  2014-09-13       Impact factor: 2.395

Review 5.  Causes of evolutionary rate variation among protein sites.

Authors:  Julian Echave; Stephanie J Spielman; Claus O Wilke
Journal:  Nat Rev Genet       Date:  2016-01-19       Impact factor: 53.242

6.  EvoTol: a protein-sequence based evolutionary intolerance framework for disease-gene prioritization.

Authors:  Owen J L Rackham; Hashem A Shihab; Michael R Johnson; Enrico Petretto
Journal:  Nucleic Acids Res       Date:  2014-12-29       Impact factor: 16.971

7.  Comprehensive, structurally-informed alignment and phylogeny of vertebrate biogenic amine receptors.

Authors:  Stephanie J Spielman; Keerthana Kumar; Claus O Wilke
Journal:  PeerJ       Date:  2015-02-17       Impact factor: 2.984

8.  Relative evolutionary rate inference in HyPhy with LEISR.

Authors:  Stephanie J Spielman; Sergei L Kosakovsky Pond
Journal:  PeerJ       Date:  2018-02-05       Impact factor: 2.984

9.  Quantitative residue-level structure-evolution relationships in the yeast membrane proteome.

Authors:  Eric A Franzosa; Ran Xue; Yu Xia
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

10.  Diversification and coevolution of the ghrelin/growth hormone secretagogue receptor system in vertebrates.

Authors:  Mbaye Tine; Heiner Kuhl; Peter R Teske; Matthias H Tschöp; Martin Jastroch
Journal:  Ecol Evol       Date:  2016-03-14       Impact factor: 2.912

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