Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences

Although Mar del Plata is the most important city on the Atlantic coast of Argentina, mosquitoes inhabiting such area are almost uncharacterized. To increase our knowledge in their distribution, we sampled specimens of natural populations. After the morphological identification based on taxonomic ke...

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Detalles Bibliográficos
Autores principales: Díaz Nieto, Leonardo Martín, Maciá, Arnaldo, Parisi, Gustavo Daniel, Farina, Juan L., Vidal Domínguez, María Emilia, Perotti, Alejandra, Berón, Corina Marta
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
Zoología
Biología
Mosquitoes
COI
18S rDNA
Distribution
Phylogeny
Argentina
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/102367
https://ri.conicet.gov.ar/11336/10710
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0075516
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787072/
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-102367
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Zoología
Biología
Mosquitoes
COI
18S rDNA
Distribution
Phylogeny
Argentina
spellingShingle Zoología
Biología
Mosquitoes
COI
18S rDNA
Distribution
Phylogeny
Argentina
Díaz Nieto, Leonardo Martín
Maciá, Arnaldo
Parisi, Gustavo Daniel
Farina, Juan L.
Vidal Domínguez, María Emilia
Perotti, Alejandra
Berón, Corina Marta
Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
topic_facet Zoología
Biología
Mosquitoes
COI
18S rDNA
Distribution
Phylogeny
Argentina
description Although Mar del Plata is the most important city on the Atlantic coast of Argentina, mosquitoes inhabiting such area are almost uncharacterized. To increase our knowledge in their distribution, we sampled specimens of natural populations. After the morphological identification based on taxonomic keys, sequences of DNA from small ribosomal subunit (18S rDNA) and cytochrome c oxidase I (COI) genes were obtained from native species and the phylogenetic analysis of these sequences were done. Fourteen species from the genera Uranotaenia, Culex, Ochlerotatus and Psorophora were found and identified. Our 18S rDNA and COI-based analysis indicates the relationships among groups at the supra-species level in concordance with mosquito taxonomy. The introduction and spread of vectors and diseases carried by them are not known in Mar del Plata, but some of the species found in this study were reported as pathogen vectors.
format Articulo
Articulo
author Díaz Nieto, Leonardo Martín
Maciá, Arnaldo
Parisi, Gustavo Daniel
Farina, Juan L.
Vidal Domínguez, María Emilia
Perotti, Alejandra
Berón, Corina Marta
author_facet Díaz Nieto, Leonardo Martín
Maciá, Arnaldo
Parisi, Gustavo Daniel
Farina, Juan L.
Vidal Domínguez, María Emilia
Perotti, Alejandra
Berón, Corina Marta
author_sort Díaz Nieto, Leonardo Martín
title Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
title_short Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
title_full Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
title_fullStr Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
title_full_unstemmed Distribution of Mosquitoes in the South East of Argentina and First Report on the Analysis Based on 18S rDNA and COI Sequences
title_sort distribution of mosquitoes in the south east of argentina and first report on the analysis based on 18s rdna and coi sequences
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/102367
https://ri.conicet.gov.ar/11336/10710
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0075516
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787072/
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