Macrogeographic genetic structure of Lutzomyia longipalpis complex populations using Next Generation Sequencing
Autoři:
Aline Etelvina Casaril aff001; Diego Peres Alonso aff003; Karina Garcia Franco aff002; Marcus Vinicius Niz Alvarez aff003; Suellem Petilim Gomes Barrios aff001; Wagner de Souza Fernandes aff001; Jucelei de Oliveira Moura Infran aff002; Ana Caroline Moura Rodrigues aff004; Paulo Eduardo Martins Ribolla aff003; Alessandra Gutierrez de Oliveira aff001
Působiště autorů:
Programa de Pós-Graduação em Doenças Infecciosas e Parasitárias, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brasil
aff001; Laboratório de Parasitologia Humana, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brasil
aff002; Laboratório de Pesquisas e Análises Genéticas, Departamento de Parasitologia, Universidade Estadual Paulista, Botucatu, São Paulo, Brasil
aff003; Laboratório de Doenças Parasitárias, Universidade Estadual do Ceará, Fortaleza, Ceará
aff004
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0223277
Souhrn
Lutzomyia longipalpis is the main vector of Leishmania infantum, the causative agent of visceral leishmaniasis in the Neotropical realm. Its taxonomic status has been widely discussed once it encompasses a complex of species. The knowledge about the genetic structure of insect vector populations helps the elucidation of components and interactions of the disease ecoepidemiology. Thus, the objective of this study was to genotypically analyze populations of the Lu. longipalpis complex from a macrogeographic perspective using Next Generation Sequencing. Polymorphism analysis of three molecular markers was used to access the levels of population genetic structure among nine different populations of sand flies. Illumina Amplicon Sequencing Protocol® was used to identify possible polymorphic sites. The library was sequenced on paired-end Illumina MiSeq platform. Significant macrogeographical population differentiation was observed among Lu. longipalpis populations via PCA and DAPC analyses. Our results revealed that populations of Lu. longipalpis from the nine municipalities were grouped into three clusters. In addition, it was observed that the levels of Lu. longipalpis population structure could be associated with distance isolation. This new sequencing method allowed us to study different molecular markers after a single sequencing run, and to evaluate population and inter-species differences on a macrogeographic scale.
Klíčová slova:
Principal component analysis – Sequence assembly tools – Population genetics – Polymerase chain reaction – Brazil – Next-generation sequencing – Sand flies – Insect vectors
Zdroje
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