Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista do Instituto de Medicina Tropical de São Paulo |
Texto Completo: | https://www.revistas.usp.br/rimtsp/article/view/130563 |
Resumo: | The genetic study of sandfly populations needs to be further explored given the importance of these insects for public health. Were sequenced the NDH4 mitochondrial gene from populations of Nyssomyia neivai from Doutor Camargo, Lobato, Japira, and Porto Rico, municipalities in the State of Paraná, Brazil, to understand the genetic structure and gene flow. Eighty specimens of Ny. Neivai were sequenced, 20 from each municipality, and 269 base pairs were obtained. A total of 27 haplotypes and 28 polymorphic sites were found, along with a haplotypic diversity of 0.80696 and a nucleotide diversity of 0.00567. Haplotype H5, with 33 specimens, was the most common among the four populations. Only haplotypes H5 and H7 were present in all four populations. The population from Doutor Camargo showed the highest genetic diversity, and only this population shared haplotypes with those from the other municipalities. The highest number of haplotypes was sheared with Lobato which also had the highest number of unique haplotypes. This probably occurred because of constant anthropic changes that happened in the environment during the first half of the twentieth century, mainly after 1998. There was no significant correlation between genetic and geographical distances regarding these populations. However, the highest genetic and geographical distances, and the lowest gene flow were observed between Japira and Porto Rico. Geographical distance is a possible barrier between these municipalities through the blocking of haplotype sharing. |
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Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, BrazilSandfliesLutzomyiamtDNAPhylogenyGenetic polymorphismThe genetic study of sandfly populations needs to be further explored given the importance of these insects for public health. Were sequenced the NDH4 mitochondrial gene from populations of Nyssomyia neivai from Doutor Camargo, Lobato, Japira, and Porto Rico, municipalities in the State of Paraná, Brazil, to understand the genetic structure and gene flow. Eighty specimens of Ny. Neivai were sequenced, 20 from each municipality, and 269 base pairs were obtained. A total of 27 haplotypes and 28 polymorphic sites were found, along with a haplotypic diversity of 0.80696 and a nucleotide diversity of 0.00567. Haplotype H5, with 33 specimens, was the most common among the four populations. Only haplotypes H5 and H7 were present in all four populations. The population from Doutor Camargo showed the highest genetic diversity, and only this population shared haplotypes with those from the other municipalities. The highest number of haplotypes was sheared with Lobato which also had the highest number of unique haplotypes. This probably occurred because of constant anthropic changes that happened in the environment during the first half of the twentieth century, mainly after 1998. There was no significant correlation between genetic and geographical distances regarding these populations. However, the highest genetic and geographical distances, and the lowest gene flow were observed between Japira and Porto Rico. Geographical distance is a possible barrier between these municipalities through the blocking of haplotype sharing.Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rimtsp/article/view/130563Revista do Instituto de Medicina Tropical de São Paulo; Vol. 59 (2017); e10Revista do Instituto de Medicina Tropical de São Paulo; Vol. 59 (2017); e10Revista do Instituto de Medicina Tropical de São Paulo; v. 59 (2017); e101678-99460036-4665reponame:Revista do Instituto de Medicina Tropical de São Pauloinstname:Instituto de Medicina Tropical (IMT)instacron:IMTenghttps://www.revistas.usp.br/rimtsp/article/view/130563/126921Copyright (c) 2018 Revista do Instituto de Medicina Tropical de São Pauloinfo:eu-repo/semantics/openAccessGasparotto, Jaqueline de CarvalhoCosta-Ribeiro, Magda Clara Vieira daThomaz-Soccol, VaneteLiebel, Sandra Mara Rodrigues da SilvaNeitzke-Abreu, Herintha CoetoReinhold-Castro, Kárin RosiCristovão, Edilson ColheraTeodoro, Ueslei2018-02-23T18:46:00Zoai:revistas.usp.br:article/130563Revistahttp://www.revistas.usp.br/rimtsp/indexPUBhttps://www.revistas.usp.br/rimtsp/oai||revimtsp@usp.br1678-99460036-4665opendoar:2022-12-13T16:52:38.133500Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT)true |
dc.title.none.fl_str_mv |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
title |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
spellingShingle |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil Gasparotto, Jaqueline de Carvalho Sandflies Lutzomyia mtDNA Phylogeny Genetic polymorphism |
title_short |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
title_full |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
title_fullStr |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
title_full_unstemmed |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
title_sort |
Genetic variability of populations of Nyssomyia neivai in the Northern State of Paraná, Brazil |
author |
Gasparotto, Jaqueline de Carvalho |
author_facet |
Gasparotto, Jaqueline de Carvalho Costa-Ribeiro, Magda Clara Vieira da Thomaz-Soccol, Vanete Liebel, Sandra Mara Rodrigues da Silva Neitzke-Abreu, Herintha Coeto Reinhold-Castro, Kárin Rosi Cristovão, Edilson Colhera Teodoro, Ueslei |
author_role |
author |
author2 |
Costa-Ribeiro, Magda Clara Vieira da Thomaz-Soccol, Vanete Liebel, Sandra Mara Rodrigues da Silva Neitzke-Abreu, Herintha Coeto Reinhold-Castro, Kárin Rosi Cristovão, Edilson Colhera Teodoro, Ueslei |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Gasparotto, Jaqueline de Carvalho Costa-Ribeiro, Magda Clara Vieira da Thomaz-Soccol, Vanete Liebel, Sandra Mara Rodrigues da Silva Neitzke-Abreu, Herintha Coeto Reinhold-Castro, Kárin Rosi Cristovão, Edilson Colhera Teodoro, Ueslei |
dc.subject.por.fl_str_mv |
Sandflies Lutzomyia mtDNA Phylogeny Genetic polymorphism |
topic |
Sandflies Lutzomyia mtDNA Phylogeny Genetic polymorphism |
description |
The genetic study of sandfly populations needs to be further explored given the importance of these insects for public health. Were sequenced the NDH4 mitochondrial gene from populations of Nyssomyia neivai from Doutor Camargo, Lobato, Japira, and Porto Rico, municipalities in the State of Paraná, Brazil, to understand the genetic structure and gene flow. Eighty specimens of Ny. Neivai were sequenced, 20 from each municipality, and 269 base pairs were obtained. A total of 27 haplotypes and 28 polymorphic sites were found, along with a haplotypic diversity of 0.80696 and a nucleotide diversity of 0.00567. Haplotype H5, with 33 specimens, was the most common among the four populations. Only haplotypes H5 and H7 were present in all four populations. The population from Doutor Camargo showed the highest genetic diversity, and only this population shared haplotypes with those from the other municipalities. The highest number of haplotypes was sheared with Lobato which also had the highest number of unique haplotypes. This probably occurred because of constant anthropic changes that happened in the environment during the first half of the twentieth century, mainly after 1998. There was no significant correlation between genetic and geographical distances regarding these populations. However, the highest genetic and geographical distances, and the lowest gene flow were observed between Japira and Porto Rico. Geographical distance is a possible barrier between these municipalities through the blocking of haplotype sharing. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rimtsp/article/view/130563 |
url |
https://www.revistas.usp.br/rimtsp/article/view/130563 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rimtsp/article/view/130563/126921 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Revista do Instituto de Medicina Tropical de São Paulo info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Revista do Instituto de Medicina Tropical de São Paulo |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo |
publisher.none.fl_str_mv |
Universidade de São Paulo. Instituto de Medicina Tropical de São Paulo |
dc.source.none.fl_str_mv |
Revista do Instituto de Medicina Tropical de São Paulo; Vol. 59 (2017); e10 Revista do Instituto de Medicina Tropical de São Paulo; Vol. 59 (2017); e10 Revista do Instituto de Medicina Tropical de São Paulo; v. 59 (2017); e10 1678-9946 0036-4665 reponame:Revista do Instituto de Medicina Tropical de São Paulo instname:Instituto de Medicina Tropical (IMT) instacron:IMT |
instname_str |
Instituto de Medicina Tropical (IMT) |
instacron_str |
IMT |
institution |
IMT |
reponame_str |
Revista do Instituto de Medicina Tropical de São Paulo |
collection |
Revista do Instituto de Medicina Tropical de São Paulo |
repository.name.fl_str_mv |
Revista do Instituto de Medicina Tropical de São Paulo - Instituto de Medicina Tropical (IMT) |
repository.mail.fl_str_mv |
||revimtsp@usp.br |
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1798951651641393152 |