Literature DB >> 20410160

Adaptation and constraint at Toll-like receptors in primates.

Gabriela Wlasiuk1, Michael W Nachman.   

Abstract

Frequent positive selection is a hallmark of genes involved in the adaptive immune system of vertebrates, but the incidence of positive selection for genes underlying innate immunity in vertebrates has not been well studied. The toll-like receptors (TLRs) of the innate immune system represent the first line of defense against pathogens. TLRs lie directly at the host-environment interface, and they target microbial molecules. Because of this, they might be subject to frequent positive selection due to coevolutionary dynamics with their microbial counterparts. However, they also recognize conserved molecular motifs, and this might constrain their evolution. Here, we investigate the evolution of the ten human TLRs in the framework of these competing ideas. We studied rates of protein evolution among primate species and we analyzed patterns of polymorphism in humans and chimpanzees. This provides a window into TLR evolution at both long and short timescales. We found a clear signature of positive selection in the rates of substitution across primates in most TLRs. Some of the implicated sites fall in structurally important protein domains, involve radical amino acid changes, or overlap with polymorphisms with known clinical associations in humans. However, within species, patterns of nucleotide variation were generally compatible with purifying selection, and these patterns differed between humans and chimpanzees and between viral and nonviral TLRs. Thus, adaptive evolution at TLRs does not appear to reflect a constant turnover of alleles and instead might be more episodic in nature. This pattern is consistent with more ephemeral pathogen-host associations rather than with long-term coevolution.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20410160      PMCID: PMC3107592          DOI: 10.1093/molbev/msq104

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  80 in total

Review 1.  How important are Toll-like receptors for antimicrobial responses?

Authors:  Susan Carpenter; Luke A J O'Neill
Journal:  Cell Microbiol       Date:  2007-05-23       Impact factor: 3.715

2.  PAML 4: phylogenetic analysis by maximum likelihood.

Authors:  Ziheng Yang
Journal:  Mol Biol Evol       Date:  2007-05-04       Impact factor: 16.240

3.  The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.

Authors:  J D Thompson; T J Gibson; F Plewniak; F Jeanmougin; D G Higgins
Journal:  Nucleic Acids Res       Date:  1997-12-15       Impact factor: 16.971

4.  Likelihood ratio tests for detecting positive selection and application to primate lysozyme evolution.

Authors:  Z Yang
Journal:  Mol Biol Evol       Date:  1998-05       Impact factor: 16.240

5.  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

6.  PAML: a program package for phylogenetic analysis by maximum likelihood.

Authors:  Z Yang
Journal:  Comput Appl Biosci       Date:  1997-10

7.  Excess amino acid polymorphism in mitochondrial DNA: contrasts among genes from Drosophila, mice, and humans.

Authors:  D M Rand; L M Kann
Journal:  Mol Biol Evol       Date:  1996-07       Impact factor: 16.240

8.  Divergence population genetics of chimpanzees.

Authors:  Yong-Jin Won; Jody Hey
Journal:  Mol Biol Evol       Date:  2004-10-13       Impact factor: 16.240

9.  A common human TLR1 polymorphism regulates the innate immune response to lipopeptides.

Authors:  Thomas R Hawn; E Ann Misch; Sarah J Dunstan; Guy E Thwaites; Nguyen T N Lan; Hoang T Quy; Tran T H Chau; Stephanie Rodrigues; Alex Nachman; Marta Janer; Tran T Hien; Jeremy J Farrar; Alan Aderem
Journal:  Eur J Immunol       Date:  2007-08       Impact factor: 5.532

10.  Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.

Authors:  John A Todd; Neil M Walker; Jason D Cooper; Deborah J Smyth; Kate Downes; Vincent Plagnol; Rebecca Bailey; Sergey Nejentsev; Sarah F Field; Felicity Payne; Christopher E Lowe; Jeffrey S Szeszko; Jason P Hafler; Lauren Zeitels; Jennie H M Yang; Adrian Vella; Sarah Nutland; Helen E Stevens; Helen Schuilenburg; Gillian Coleman; Meeta Maisuria; William Meadows; Luc J Smink; Barry Healy; Oliver S Burren; Alex A C Lam; Nigel R Ovington; James Allen; Ellen Adlem; Hin-Tak Leung; Chris Wallace; Joanna M M Howson; Cristian Guja; Constantin Ionescu-Tîrgovişte; Matthew J Simmonds; Joanne M Heward; Stephen C L Gough; David B Dunger; Linda S Wicker; David G Clayton
Journal:  Nat Genet       Date:  2007-06-06       Impact factor: 38.330

View more
  71 in total

1.  Positive selection pressure within teleost Toll-like receptors tlr21 and tlr22 subfamilies and their response to temperature stress and microbial components in zebrafish.

Authors:  Arvind Y M Sundaram; Sonia Consuegra; Viswanath Kiron; Jorge M O Fernandes
Journal:  Mol Biol Rep       Date:  2012-06-24       Impact factor: 2.316

2.  Genomic Signatures of Selective Pressures and Introgression from Archaic Hominins at Human Innate Immunity Genes.

Authors:  Matthieu Deschamps; Guillaume Laval; Maud Fagny; Yuval Itan; Laurent Abel; Jean-Laurent Casanova; Etienne Patin; Lluis Quintana-Murci
Journal:  Am J Hum Genet       Date:  2016-01-07       Impact factor: 11.025

3.  Positive selection in the SLC11A1 gene in the family Equidae.

Authors:  Zuzana Bayerova; Eva Janova; Jan Matiasovic; Ludovic Orlando; Petr Horin
Journal:  Immunogenetics       Date:  2016-02-04       Impact factor: 2.846

4.  Genome sequencing and comparison of two nonhuman primate animal models, the cynomolgus and Chinese rhesus macaques.

Authors:  Guangmei Yan; Guojie Zhang; Xiaodong Fang; Yanfeng Zhang; Cai Li; Fei Ling; David N Cooper; Qiye Li; Yan Li; Alain J van Gool; Hongli Du; Jiesi Chen; Ronghua Chen; Pei Zhang; Zhiyong Huang; John R Thompson; Yuhuan Meng; Yinqi Bai; Jufang Wang; Min Zhuo; Tao Wang; Ying Huang; Liqiong Wei; Jianwen Li; Zhiwen Wang; Haofu Hu; Pengcheng Yang; Liang Le; Peter D Stenson; Bo Li; Xiaoming Liu; Edward V Ball; Na An; Quanfei Huang; Yong Zhang; Wei Fan; Xiuqing Zhang; Yingrui Li; Wen Wang; Michael G Katze; Bing Su; Rasmus Nielsen; Huanming Yang; Jun Wang; Xiaoning Wang; Jian Wang
Journal:  Nat Biotechnol       Date:  2011-10-16       Impact factor: 54.908

5.  Strong selection of the TLR2 coding region among the Lagomorpha suggests an evolutionary history that differs from other mammals.

Authors:  Fabiana Neves; Ana Águeda-Pinto; Ana Pinheiro; Joana Abrantes; Pedro J Esteves
Journal:  Immunogenetics       Date:  2019-03-14       Impact factor: 2.846

6.  Insights into the evolution of extracellular leucine-rich repeats in metazoans with special reference to Toll-like receptor 4.

Authors:  Dipanjana Dhar; Debayan Dey; Soumalee Basu
Journal:  J Biosci       Date:  2019-03       Impact factor: 1.826

7.  Purifying selection on leptin genes in teleosts may be due to poikilothermy.

Authors:  Shanchen Wang; Rixin Wang; Tianjun Xu
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

8.  Distinct evolution of toll-like receptor signaling pathway genes in cetaceans.

Authors:  Ran Tian; Inge Seim; Zepeng Zhang; Ying Yang; Wenhua Ren; Shixia Xu; Guang Yang
Journal:  Genes Genomics       Date:  2019-09-18       Impact factor: 1.839

9.  Episodic positive diversifying selection on key immune system genes in major avian lineages.

Authors:  Jennifer Antonides; Samarth Mathur; J Andrew DeWoody
Journal:  Genetica       Date:  2019-11-28       Impact factor: 1.082

10.  Haplotype structure and positive selection at TLR1.

Authors:  Christopher Heffelfinger; Andrew J Pakstis; William C Speed; Allison P Clark; Eva Haigh; Rixun Fang; Mahohar R Furtado; Kenneth K Kidd; Michael P Snyder
Journal:  Eur J Hum Genet       Date:  2013-09-04       Impact factor: 4.246

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.