Genetic analysis in two species of Loxa Amyot & Serville 1843 (Pentatomidae) collected in Iguaçu National Park (Foz Do Iguaçu, Paraná, Brazil)

The Iguaçu National Park is the largest remnant of the Atlantic Forest in southern Brazil, providing habitats for a wide variety of species, including bedbugs of suborder Heteroptera. These insects have an great capacity for adapting and spreading over widely different habitats, resulting in high sp...

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Veröffentlicht in:International journal of tropical insect science 2021-03, Vol.41 (1), p.759-764
Hauptverfasser: Lopes, Thayná Bisson Ferraz, Dias, Felipe Cordeiro, da Cruz Baldissera, Joana Neres, da Silva, Carlos Roberto Maximiano, Fernandes, José Antônio Marin, da Rosa, Renata
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Sprache:eng
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Zusammenfassung:The Iguaçu National Park is the largest remnant of the Atlantic Forest in southern Brazil, providing habitats for a wide variety of species, including bedbugs of suborder Heteroptera. These insects have an great capacity for adapting and spreading over widely different habitats, resulting in high species diversity. However, little is known about the genetic structure of the group. In this paper, we analyzed the cytochrome c oxidase subunit I (COI) mitochondrial gene of two species, Loxa viridis (Palisot de Beauvois 1805) and Loxa virescens Amyot & Serville 1843, collected in Iguaçu National Park. The 32 COI sequences analyzed in this study were grouped into six haplotypes, that were exclusive to each collection site. The analysis of molecular variance showed tree polymorphisms for each species and variations among populations was 100%. Maximum Likehood test analysis showed two large groups, with L. viridis and L. virescens from the same collection points tend to be closer together. The results obtained contributed to the identification of the species and populations of each collection site are suffering local selection pressure in the Iguaçu National Park. The conservation actions carried out by the Iguaçu National Park are being important for the maintenance of biodiversity.
ISSN:1742-7592
1742-7584
1742-7592
DOI:10.1007/s42690-020-00265-x