Hla-C genetic diversity and evolutionary insights in two samples from Brazil and Benin.
Autor: | Souza AS; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Sonon P; Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Paz MA; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Tokplonou L; Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France.; Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin.; Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin., Lima THA; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Porto IOP; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Andrade HS; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Silva NDSB; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Veiga-Castelli LC; Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Oliveira MLG; Department of Genetics, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Sadissou IA; Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Massaro JD; Laboratório de Biologia Molecular, Programa de Imunologia Básica e Aplicada (IBA), Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Moutairou KA; Laboratoire de Biologie et Physiologie Cellulaire, Université d'Abomey-Calavi, Cotonou, Benin., Donadi EA; Department of Medicine, School of Medicine of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Massougbodji A; Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin., Garcia A; Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France., Ibikounlé M; Département de Zoologie, Faculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin., Meyer D; Department of Genetics and Evolutionary Biology, University of São Paulo (USP), São Paulo, Brazil., Sabbagh A; Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France., Mendes-Junior CT; Departamento de Química, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, São Paulo, Brazil., Courtin D; Institut de Recherche pour le Développement (IRD), UMR 261 MERIT, Université de Paris, Paris, France., Castelli EC; Molecular Genetics and Bioinformatics Laboratory-Experimental Research Unity, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Genetics Program, Institute of Biosciences of Botucatu, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.; Pathology Program, School of Medicine, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil. |
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Jazyk: | angličtina |
Zdroj: | HLA [HLA] 2020 Oct; Vol. 96 (4), pp. 468-486. Date of Electronic Publication: 2020 Aug 24. |
DOI: | 10.1111/tan.13996 |
Abstrakt: | Human leukocyte antigen-C (HLA-C) is a classical HLA class I molecule that binds and presents peptides to cytotoxic T lymphocytes in the cell surface. HLA-C has a dual function because it also interacts with Killer-cell immunoglobulin-like receptors (KIR) receptors expressed in natural killer and T cells, modulating their activity. The structure and diversity of the HLA-C regulatory regions, as well as the relationship among variants along the HLA-C locus, are poorly addressed, and few population-based studies explored the HLA-C variability in the entire gene in different population samples. Here we present a molecular and bioinformatics method to evaluate the entire HLA-C diversity, including regulatory sequences. Then, we applied this method to survey the HLA-C diversity in two population samples with different demographic histories, one highly admixed from Brazil with major European contribution, and one from Benin with major African contribution. The HLA-C promoter and 3'UTR were very polymorphic with the presence of few, but highly divergent haplotypes. These segments also present conserved sequences that are shared among different primate species. Nucleotide diversity was higher in other segments rather than exons 2 and 3, particularly around exon 5 and the second half of the 3'UTR region. We detected evidence of balancing selection on the entire HLA-C locus and positive selection in the HLA-C leader peptide, for both populations. HLA-C motifs previously associated with KIR interaction and expression regulation are similar between both populations. Each allele group is associated with specific regulatory sequences, reflecting the high linkage disequilibrium along the entire HLA-C locus in both populations. (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.) |
Databáze: | MEDLINE |
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