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      Reduced polymorphism of Plasmodium vivax early transcribed membrane protein (PvETRAMP) 11.2

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          Abstract

          Background

          ETRAMP11.2 (PVX_003565) is a well-characterized protein with antigenic potential. It is considered to be a serological marker for diagnostic tools, and it has been suggested as a potential vaccine candidate. Despite its immunological relevance, the polymorphism of the P. vivax ETRAMP11.2 gene ( pvetramp11.2) remains undefined. The genetic variability of an antigen may limit the effectiveness of its application as a serological surveillance tool and in vaccine development and, therefore, the aim of this study was to investigate the genetic diversity of pvetramp11.2 in parasite populations from Amazonian regions and worldwide. We also evaluated amino acid polymorphism on predicted B-cell epitopes. The low variability of the sequence encoding PvETRAMP11.2 protein suggests that it would be a suitable marker in prospective serodiagnostic assays for surveillance strategies or in vaccine design against P. vivax malaria.

          Methods

          The pvetramp11.2 of P. vivax isolates collected from Brazil ( n = 68) and Peru ( n = 36) were sequenced and analyzed to assess nucleotide polymorphisms, allele distributions, population differentiation, genetic diversity and signature of selection. In addition, sequences ( n = 104) of seven populations from different geographical regions were retrieved from the PlasmoDB database and included in the analysis to study the worldwide allele distribution. Potential linear B-cell epitopes and their polymorphisms were also explored.

          Results

          The multiple alignments of 208 pvetramp11.2 sequences revealed a low polymorphism and a marked geographical variation in allele diversity. Seven polymorphic sites and 11 alleles were identified. All of the alleles were detected in isolates from the Latin American region and five alleles were detected in isolates from the Southeast Asia/Papua New Guinea (SEA/PNG) region. Three alleles were shared by all Latin American populations (H1, H6 and H7). The H1 allele (reference allele from Salvador-1 strain), which was absent in the SEA/PNG populations, was the most represented allele in populations from Brazil (54%) and was also detected at high frequencies in populations from all other Latin America countries (range: 13.0% to 33.3%). The H2 allele was the major allele in SEA/PNG populations, but was poorly represented in Latin America populations (only in Brazil: 7.3%). Plasmodium vivax populations from Latin America showed a marked inter-population genetic differentiation (fixation index [Fst]) in contrast to SEA/PNG populations. Codon bias measures (effective number of codons [ENC] and Codon bias index [CBI]) indicated preferential use of synonymous codons, suggesting selective pressure at the translation level. Only three amino acid substitutions, located in the C-terminus, were detected. Linear B-cell epitope mapping predicted two epitopes in the Sal-1 PvETRAMP11.2 protein, one of which was fully conserved in all of the parasite populations analyzed.

          Conclusions

          We provide an overview of the allele distribution and genetic differentiation of ETRAMP11.2 antigen in P. vivax populations from different endemic areas of the world. The reduced polymorphism and the high degree of protein conservation supports the application of PvETRAMP11.2 protein as a reliable antigen for application in serological assays or vaccine design. Our findings provide useful information that can be used to inform future study designs.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13071-023-05851-9.

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          Most cited references49

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          We present version 6 of the DNA Sequence Polymorphism (DnaSP) software, a new version of the popular tool for performing exhaustive population genetic analyses on multiple sequence alignments. This major upgrade incorporates novel functionalities to analyze large data sets, such as those generated by high-throughput sequencing technologies. Among other features, DnaSP 6 implements: 1) modules for reading and analyzing data from genomic partitioning methods, such as RADseq or hybrid enrichment approaches, 2) faster methods scalable for high-throughput sequencing data, and 3) summary statistics for the analysis of multi-locus population genetics data. Furthermore, DnaSP 6 includes novel modules to perform single- and multi-locus coalescent simulations under a wide range of demographic scenarios. The DnaSP 6 program, with extensive documentation, is freely available at http://www.ub.edu/dnasp.
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            DnaSP v5: a software for comprehensive analysis of DNA polymorphism data.

            DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser. Freely available to academic users from: (http://www.ub.edu/dnasp).
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              GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

              Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s D est and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au
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                Author and article information

                Contributors
                Edvige.perrotti@iss.it
                Mariangela.lepiscopia@iss.it
                Michela.menegon@iss.it
                Isoares@usp.br
                Angelrosasa@gmail.com
                Niko.speybroeck@uclouvain.be
                Alejandro.llanos.c@upch.pe
                Didier.menard@pasteur.fr , dmenard@unistra.fr
                Muferrei@usp.br
                Carlo.severini@iss.it
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                17 July 2023
                17 July 2023
                2023
                : 16
                : 238
                Affiliations
                [1 ]GRID grid.416651.1, ISNI 0000 0000 9120 6856, Department of Infectious Diseases, , Istituto Superiore Di Sanità, ; Rome, Italy
                [2 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, , University of São Paulo, ; São Paulo, Brazil
                [3 ]GRID grid.7942.8, ISNI 0000 0001 2294 713X, Research Institute of Health and Society (IRSS), , Université Catholique de Louvain, ; Brussels, Belgium
                [4 ]GRID grid.11100.31, ISNI 0000 0001 0673 9488, Instituto de Medicina Tropical “Alexander Von Humboldt”, , Universidad Peruana Cayetano Heredia, ; Lima, Peru
                [5 ]GRID grid.412220.7, ISNI 0000 0001 2177 138X, Laboratoire de Parasitologie Et Mycologie Médicale, , Les Hôpitaux Universitaires de Strasbourg, ; Strasbourg, France
                [6 ]GRID grid.11843.3f, ISNI 0000 0001 2157 9291, Institut de Parasitologie Et Pathologie Tropicale, , Université de Strasbourg, ; Strasbourg, France
                [7 ]GRID grid.428999.7, ISNI 0000 0001 2353 6535, Malaria Genetics and Resistance Unit–INSERM U1201, , Institut Pasteur, ; Paris, France
                [8 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, Department of Parasitology, Institute of Biomedical Sciences, , University of São Paulo, ; São Paulo, Brazil
                [9 ]GRID grid.10772.33, ISNI 0000000121511713, Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, , Universidade NOVA de Lisboa, ; Lisbon, Portugal
                Article
                5851
                10.1186/s13071-023-05851-9
                10353105
                37461081
                6d107441-4399-401e-a7db-d5de2f6f26ed
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 20 April 2023
                : 27 June 2023
                Funding
                Funded by: European Commission FP7
                Award ID: ELAC2015/T08-1061
                Funded by: Ministry of Health of Brazil
                Award ID: 404067/2012-3
                Funded by: Estado de São Paulo FAPESP
                Award ID: 05/51988-0
                Award ID: 07/51199-0
                Award ID: 16/50108-0
                Funded by: FONDECYT, Peru
                Award ID: 008-2014
                Funded by: Académie de Recherche et d’Enseignement Supérieur-Commission de la Coopération au Développement of Belgium
                Award ID: ARES-CCD
                Award ID: PRD-Peru 2014–2019
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Parasitology
                pvetramp11.2,plasmodium vivax,genetic variation,polymorphism,antigen
                Parasitology
                pvetramp11.2, plasmodium vivax, genetic variation, polymorphism, antigen

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