Literature DB >> 16205981

Gamma chain receptor interleukins: evidence for positive selection driving the evolution of cell-to-cell communicators in the mammalian immune system.

Mary J O'Connell1, James O McInerney.   

Abstract

The interleukin-2 receptor (IL-2R) gamma chain, or common gamma chain (gammac), is the hub of a protein interaction network in the mammalia that is central to defense against disease. It is the indispensable subunit of the functional receptor complexes for a group of interleukins known as the gamma-chain-dependent interleukins (IL-2, IL-4, -7, -9, -15, and -21). The gammac links these proteins through their interaction with it and their competition for its recruitment. The gammac-dependent interleukins also interact with each other to either enhance or suppress expression through manipulation of expression of receptor subunits. Given the influence of protein-protein interactions on evolution, such as those documented for many genes including the reproductive proteins of the sperm and egg coat, here we have asked whether there is a common thread in the evolution of these interleukins. Our findings indicate that positive selection has acted by fixing a large number of amino acid replacement mutations in every single one of these interleukins, this adaptive evolution is also observed in a lineage-specific manner. Crucially, however, there does not appear to have ever been an instance of adaptive evolution in the gammac chain itself, thereby providing an insight into the evolution of this hub protein. These findings highlight the importance of adaptive evolutionary events in the evolution of this central network in the immune system and suggest underlying causes for differences in defense responses in the mammalia.

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Year:  2005        PMID: 16205981     DOI: 10.1007/s00239-004-0313-3

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


  43 in total

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

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3.  Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

Authors:  R Nielsen; Z Yang
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

4.  Episodic adaptive evolution of primate lysozymes.

Authors:  W Messier; C B Stewart
Journal:  Nature       Date:  1997-01-09       Impact factor: 49.962

5.  CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.

Authors:  Joseph Felsenstein
Journal:  Evolution       Date:  1985-07       Impact factor: 3.694

6.  Mammalian sperm proteins are rapidly evolving: evidence of positive selection in functionally diverse genes.

Authors:  Dara G Torgerson; Rob J Kulathinal; Rama S Singh
Journal:  Mol Biol Evol       Date:  2002-11       Impact factor: 16.240

7.  A codon-based model of nucleotide substitution for protein-coding DNA sequences.

Authors:  N Goldman; Z Yang
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

8.  Interleukin-2 programs mouse alpha beta T lymphocytes for apoptosis.

Authors:  M J Lenardo
Journal:  Nature       Date:  1991-10-31       Impact factor: 49.962

9.  IL-2 negatively regulates IL-7 receptor alpha chain expression in activated T lymphocytes.

Authors:  Hai-Hui Xue; Panu E Kovanen; Cynthia A Pise-Masison; Maria Berg; Michael F Radovich; John N Brady; Warren J Leonard
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-27       Impact factor: 11.205

10.  Interleukin 2 and its cell-surface receptor.

Authors:  R J Robb
Journal:  Behring Inst Mitt       Date:  1985-08
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  7 in total

1.  Using variable rate models to identify genes under selection in sequence pairs: their validity and limitations for EST sequences.

Authors:  Sheri A Church; Kevin Livingstone; Zhao Lai; Alexander Kozik; Steven J Knapp; Richard W Michelmore; Loren H Rieseberg
Journal:  J Mol Evol       Date:  2007-01-02       Impact factor: 2.395

2.  Dissecting structural and nucleotide genome-wide variation in inbred Iberian pigs.

Authors:  Anna Esteve-Codina; Yogesh Paudel; Luca Ferretti; Emanuele Raineri; Hendrik-Jan Megens; Luis Silió; María C Rodríguez; Martein A M Groenen; Sebastian E Ramos-Onsins; Miguel Pérez-Enciso
Journal:  BMC Genomics       Date:  2013-03-05       Impact factor: 3.969

3.  Diversifying selection and functional analysis of interleukin-4 suggests antagonism-driven evolution at receptor-binding interfaces.

Authors:  Madoka Koyanagi; Julie A Kerns; Linda Chung; Yan Zhang; Scott Brown; Tudor Moldoveanu; Harmit S Malik; Mark Bix
Journal:  BMC Evol Biol       Date:  2010-07-22       Impact factor: 3.260

4.  Characterization of the avian Trojan gene family reveals contrasting evolutionary constraints.

Authors:  Petar Petrov; Riikka Syrjänen; Jacqueline Smith; Maria Weronika Gutowska; Tatsuya Uchida; Olli Vainio; David W Burt
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

5.  Genetic characterization of interleukins (IL-1α, IL-1β, IL-2, IL-4, IL-8, IL-10, IL-12A, IL-12B, IL-15 and IL-18) with relevant biological roles in lagomorphs.

Authors:  Fabiana Neves; Joana Abrantes; Tereza Almeida; Ana Lemos de Matos; Paulo P Costa; Pedro J Esteves
Journal:  Innate Immun       Date:  2015-09-21       Impact factor: 2.680

Review 6.  Evolution of γ chain cytokines: Mechanisms, methods and applications.

Authors:  Magdalena Antczak; Pablo F Cañete; Zhian Chen; Clémence Belle; Di Yu
Journal:  Comput Struct Biotechnol J       Date:  2022-08-25       Impact factor: 6.155

7.  The phylogeny of the mammalian heme peroxidases and the evolution of their diverse functions.

Authors:  Noeleen B Loughran; Brendan O'Connor; Ciarán O'Fágáin; Mary J O'Connell
Journal:  BMC Evol Biol       Date:  2008-03-27       Impact factor: 3.260

  7 in total

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