Literature DB >> 36114442

Immunoglobulin heavy constant gamma gene evolution is modulated by both the divergent and birth-and-death evolutionary models.

Diego Garzón-Ospina1,2,3, Sindy P Buitrago4,5,6.   

Abstract

Immunoglobulin G (IgG) is one of the five antibody classes produced in mammals as part of the humoral responses accountable for protecting the organisms from infection. Its antibody heavy chain constant region is encoded by the Ig heavy-chain gamma gene (IGHG). In humans, there are four IGHG genes which encode the four subclasses, each with a specialized effector function. Although four subclasses of IgG proteins have also been reported in macaques, this does not appear to be the rule for all primates. In Platyrrhini, IgG has been stated to be encoded by a single-copy gene. To date, it remains unknown how the IGHG has expanded or contracted in the primate order; consequently, we have analyzed data from 38 primate genome sequences to identify IGHG genes and describe the evolution of IGHG genes in primate order. IGHG belongs to a multigene family that evolves by the birth-death evolutionary model in primates. Whereas Strepsirrhini and Platyrrhini have a single-copy gene, in Catarrhini, it has expanded to several paralogs in their genomes; some deleted and others pseudogenized. Furthermore, episodic positive selection may have promoted a species-specific IgG effector function. We propose that IgG evolved to reach an optimal number of copies per genome to adapt their humoral immune responses to different environmental conditions. This study has implications for biomedical trials using non-human primates.
© 2022. The Author(s), under exclusive licence to Japan Monkey Centre.

Entities:  

Keywords:  Birth–death evolutionary model; Divergent evolutionary model; IGHG; IgG; Multigene family; Primates

Year:  2022        PMID: 36114442     DOI: 10.1007/s10329-022-01019-8

Source DB:  PubMed          Journal:  Primates        ISSN: 0032-8332            Impact factor:   1.781


  63 in total

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2.  MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Authors:  Robert C Edgar
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3.  Coalescent simulation of intracodon recombination.

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4.  The G4 gene is duplicated in 44% of human immunoglobulin heavy chain constant region haplotypes.

Authors:  A Brusco; F Cinque; S Saviozzi; C Boccazzi; M DeMarchi; A O Carbonara
Journal:  Hum Genet       Date:  1997-07       Impact factor: 4.132

5.  Antigenic similarities among mammalian immunoglobulins.

Authors:  M B Esteves; R A Binaghi
Journal:  Immunology       Date:  1972-08       Impact factor: 7.397

6.  Molecular evolution of IgG subclass among nonhuman primates: implication of differences in antigenic determinants among Apes.

Authors:  Yoko Asada; Yoshi Kawamoto; Takayoshi Shotake; Keiji Terao
Journal:  Primates       Date:  2002-10       Impact factor: 2.163

7.  ProtTest 3: fast selection of best-fit models of protein evolution.

Authors:  Diego Darriba; Guillermo L Taboada; Ramón Doallo; David Posada
Journal:  Bioinformatics       Date:  2011-02-17       Impact factor: 6.937

8.  TranslatorX: multiple alignment of nucleotide sequences guided by amino acid translations.

Authors:  Federico Abascal; Rafael Zardoya; Maximilian J Telford
Journal:  Nucleic Acids Res       Date:  2010-04-30       Impact factor: 16.971

Review 9.  Mind the Gap: How Interspecies Variability in IgG and Its Receptors May Complicate Comparisons of Human and Non-human Primate Effector Function.

Authors:  Andrew R Crowley; Margaret E Ackerman
Journal:  Front Immunol       Date:  2019-04-08       Impact factor: 7.561

10.  The Pfam protein families database in 2019.

Authors:  Sara El-Gebali; Jaina Mistry; Alex Bateman; Sean R Eddy; Aurélien Luciani; Simon C Potter; Matloob Qureshi; Lorna J Richardson; Gustavo A Salazar; Alfredo Smart; Erik L L Sonnhammer; Layla Hirsh; Lisanna Paladin; Damiano Piovesan; Silvio C E Tosatto; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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