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Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection

Even though immunoglobulins are critical for immune responses and human survival, the diversity of the immunoglobulin heavy chain gene (IGH) is poorly known and mostly characterized only by serological methods. Moreover, this genomic region is not well-covered in genomic databases and genome-wide as...

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Autores principales: Calonga-Solís, Verónica, Malheiros, Danielle, Beltrame, Marcia Holsbach, Vargas, Luciana de Brito, Dourado, Renata Montoro, Issler, Hellen Caroline, Wassem, Roseli, Petzl-Erler, Maria Luiza, Augusto, Danillo G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558194/
https://www.ncbi.nlm.nih.gov/pubmed/31214166
http://dx.doi.org/10.3389/fimmu.2019.01161
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author Calonga-Solís, Verónica
Malheiros, Danielle
Beltrame, Marcia Holsbach
Vargas, Luciana de Brito
Dourado, Renata Montoro
Issler, Hellen Caroline
Wassem, Roseli
Petzl-Erler, Maria Luiza
Augusto, Danillo G.
author_facet Calonga-Solís, Verónica
Malheiros, Danielle
Beltrame, Marcia Holsbach
Vargas, Luciana de Brito
Dourado, Renata Montoro
Issler, Hellen Caroline
Wassem, Roseli
Petzl-Erler, Maria Luiza
Augusto, Danillo G.
author_sort Calonga-Solís, Verónica
collection PubMed
description Even though immunoglobulins are critical for immune responses and human survival, the diversity of the immunoglobulin heavy chain gene (IGH) is poorly known and mostly characterized only by serological methods. Moreover, this genomic region is not well-covered in genomic databases and genome-wide association studies due to particularities that impose technical difficulties for its analysis. Therefore, the IGH gene has never been systematically sequenced across populations. Here, we deliver an unprecedented and comprehensive characterization of the diversity of the IGHG1, IGHG2, and IGHG3 gene segments, which encode the constant region of the most abundant circulating immunoglobulins: IgG1, IgG2, and IgG3, respectively. We used Sanger sequencing to analyze 357 individuals from seven different Brazilian populations, including five Amerindian, one Japanese-descendant and one Euro-descendant population samples. We discovered 28 novel IGHG alleles and provided evidence that some of them may have been originated by gene conversion between common alleles of different gene segments. The rate of synonymous substitutions was significantly higher than the rate of the non-synonymous substitutions for IGHG1 and IGHG2 (p = 0.01 and 0.03, respectively), consistent with purifying selection. Fay and Wu's test showed significant negative values for most populations (p < 0.001), which indicates that positive selection in an adjacent position may be shaping IGHG variation by hitchhiking of variants in the vicinity, possibly the regions that encode the Ig variable regions. This study shows that the variation in the IGH gene is largely underestimated. Therefore, exploring its nucleotide diversity in populations may provide valuable information for comprehension of its evolution, its impact on diseases and vaccine research.
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spelling pubmed-65581942019-06-18 Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection Calonga-Solís, Verónica Malheiros, Danielle Beltrame, Marcia Holsbach Vargas, Luciana de Brito Dourado, Renata Montoro Issler, Hellen Caroline Wassem, Roseli Petzl-Erler, Maria Luiza Augusto, Danillo G. Front Immunol Immunology Even though immunoglobulins are critical for immune responses and human survival, the diversity of the immunoglobulin heavy chain gene (IGH) is poorly known and mostly characterized only by serological methods. Moreover, this genomic region is not well-covered in genomic databases and genome-wide association studies due to particularities that impose technical difficulties for its analysis. Therefore, the IGH gene has never been systematically sequenced across populations. Here, we deliver an unprecedented and comprehensive characterization of the diversity of the IGHG1, IGHG2, and IGHG3 gene segments, which encode the constant region of the most abundant circulating immunoglobulins: IgG1, IgG2, and IgG3, respectively. We used Sanger sequencing to analyze 357 individuals from seven different Brazilian populations, including five Amerindian, one Japanese-descendant and one Euro-descendant population samples. We discovered 28 novel IGHG alleles and provided evidence that some of them may have been originated by gene conversion between common alleles of different gene segments. The rate of synonymous substitutions was significantly higher than the rate of the non-synonymous substitutions for IGHG1 and IGHG2 (p = 0.01 and 0.03, respectively), consistent with purifying selection. Fay and Wu's test showed significant negative values for most populations (p < 0.001), which indicates that positive selection in an adjacent position may be shaping IGHG variation by hitchhiking of variants in the vicinity, possibly the regions that encode the Ig variable regions. This study shows that the variation in the IGH gene is largely underestimated. Therefore, exploring its nucleotide diversity in populations may provide valuable information for comprehension of its evolution, its impact on diseases and vaccine research. Frontiers Media S.A. 2019-06-04 /pmc/articles/PMC6558194/ /pubmed/31214166 http://dx.doi.org/10.3389/fimmu.2019.01161 Text en Copyright © 2019 Calonga-Solís, Malheiros, Beltrame, Vargas, Dourado, Issler, Wassem, Petzl-Erler and Augusto. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Calonga-Solís, Verónica
Malheiros, Danielle
Beltrame, Marcia Holsbach
Vargas, Luciana de Brito
Dourado, Renata Montoro
Issler, Hellen Caroline
Wassem, Roseli
Petzl-Erler, Maria Luiza
Augusto, Danillo G.
Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title_full Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title_fullStr Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title_full_unstemmed Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title_short Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
title_sort unveiling the diversity of immunoglobulin heavy constant gamma (ighg) gene segments in brazilian populations reveals 28 novel alleles and evidence of gene conversion and natural selection
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558194/
https://www.ncbi.nlm.nih.gov/pubmed/31214166
http://dx.doi.org/10.3389/fimmu.2019.01161
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