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Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)

Abstract. We used a population genetic approach to detect the presence of genetic diversity among six populations of Anastrepha fraterculus across Brazil. To this aim, we used Simple Sequence Repeat (SSR) markers, which may capture the presence of differentiative processes across the genome in disti...

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Autores principales: Manni, Mosè, Lima, Kátia Manuela, Guglielmino, Carmela Rosalba, Lanzavecchia, Silvia Beatriz, Juri, Marianela, Vera, Teresa, Cladera, Jorge, Scolari, Francesca, Gomulski, Ludvik, Bonizzoni, Mariangela, Gasperi, Giuliano, Silva, Janisete Gomes, Malacrida, Anna Rodolfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714068/
https://www.ncbi.nlm.nih.gov/pubmed/26798258
http://dx.doi.org/10.3897/zookeys.540.6713
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author Manni, Mosè
Lima, Kátia Manuela
Guglielmino, Carmela Rosalba
Lanzavecchia, Silvia Beatriz
Juri, Marianela
Vera, Teresa
Cladera, Jorge
Scolari, Francesca
Gomulski, Ludvik
Bonizzoni, Mariangela
Gasperi, Giuliano
Silva, Janisete Gomes
Malacrida, Anna Rodolfa
author_facet Manni, Mosè
Lima, Kátia Manuela
Guglielmino, Carmela Rosalba
Lanzavecchia, Silvia Beatriz
Juri, Marianela
Vera, Teresa
Cladera, Jorge
Scolari, Francesca
Gomulski, Ludvik
Bonizzoni, Mariangela
Gasperi, Giuliano
Silva, Janisete Gomes
Malacrida, Anna Rodolfa
author_sort Manni, Mosè
collection PubMed
description Abstract. We used a population genetic approach to detect the presence of genetic diversity among six populations of Anastrepha fraterculus across Brazil. To this aim, we used Simple Sequence Repeat (SSR) markers, which may capture the presence of differentiative processes across the genome in distinct populations. Spatial analyses of molecular variance were used to identify groups of populations that are both genetically and geographically homogeneous while also being maximally differentiated from each other. The spatial analysis of genetic diversity indicates that the levels of diversity among the six populations vary significantly on an eco-geographical basis. Particularly, altitude seems to represent a differentiating adaptation, as the main genetic differentiation is detected between the two populations present at higher altitudes and the other four populations at sea level. The data, together with the outcomes from different cluster analyses, identify a genetic diversity pattern that overlaps with the distribution of the known morphotypes in the Brazilian area.
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spelling pubmed-47140682016-01-21 Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae) Manni, Mosè Lima, Kátia Manuela Guglielmino, Carmela Rosalba Lanzavecchia, Silvia Beatriz Juri, Marianela Vera, Teresa Cladera, Jorge Scolari, Francesca Gomulski, Ludvik Bonizzoni, Mariangela Gasperi, Giuliano Silva, Janisete Gomes Malacrida, Anna Rodolfa Zookeys Research Article Abstract. We used a population genetic approach to detect the presence of genetic diversity among six populations of Anastrepha fraterculus across Brazil. To this aim, we used Simple Sequence Repeat (SSR) markers, which may capture the presence of differentiative processes across the genome in distinct populations. Spatial analyses of molecular variance were used to identify groups of populations that are both genetically and geographically homogeneous while also being maximally differentiated from each other. The spatial analysis of genetic diversity indicates that the levels of diversity among the six populations vary significantly on an eco-geographical basis. Particularly, altitude seems to represent a differentiating adaptation, as the main genetic differentiation is detected between the two populations present at higher altitudes and the other four populations at sea level. The data, together with the outcomes from different cluster analyses, identify a genetic diversity pattern that overlaps with the distribution of the known morphotypes in the Brazilian area. Pensoft Publishers 2015-11-26 /pmc/articles/PMC4714068/ /pubmed/26798258 http://dx.doi.org/10.3897/zookeys.540.6713 Text en Mosè Manni, Kátia Manuela Lima, Carmela Rosalba Guglielmino, Silvia Beatriz Lanzavecchia, Marianela Juri, Teresa Vera, Jorge Cladera, Francesca Scolari, Ludvik Gomulski, Mariangela Bonizzoni, Giuliano Gasperi, Janisete Gomes Silva, Anna Rodolfa Malacrida http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Manni, Mosè
Lima, Kátia Manuela
Guglielmino, Carmela Rosalba
Lanzavecchia, Silvia Beatriz
Juri, Marianela
Vera, Teresa
Cladera, Jorge
Scolari, Francesca
Gomulski, Ludvik
Bonizzoni, Mariangela
Gasperi, Giuliano
Silva, Janisete Gomes
Malacrida, Anna Rodolfa
Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title_full Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title_fullStr Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title_full_unstemmed Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title_short Relevant genetic differentiation among Brazilian populations of Anastrepha fraterculus (Diptera, Tephritidae)
title_sort relevant genetic differentiation among brazilian populations of anastrepha fraterculus (diptera, tephritidae)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4714068/
https://www.ncbi.nlm.nih.gov/pubmed/26798258
http://dx.doi.org/10.3897/zookeys.540.6713
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