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Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs
The genetic data of 17 Y chromosome short tandem repeats in 146 unrelated donor residents in the provinces of Granada, Málaga, and Almería (GMA) were analyzed to determine the genetic legacy of the male inhabitants of the former Kingdom of Granada. A total of 139 unique haplotypes were identified. O...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435739/ https://www.ncbi.nlm.nih.gov/pubmed/30914710 http://dx.doi.org/10.1038/s41598-019-41580-9 |
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author | Saiz, María Alvarez-Cubero, Maria Jesus Lorente, José Antonio Alvarez, Juan Carlos Martinez-Gonzalez, Luis Javier |
author_facet | Saiz, María Alvarez-Cubero, Maria Jesus Lorente, José Antonio Alvarez, Juan Carlos Martinez-Gonzalez, Luis Javier |
author_sort | Saiz, María |
collection | PubMed |
description | The genetic data of 17 Y chromosome short tandem repeats in 146 unrelated donor residents in the provinces of Granada, Málaga, and Almería (GMA) were analyzed to determine the genetic legacy of the male inhabitants of the former Kingdom of Granada. A total of 139 unique haplotypes were identified. Observed allele frequencies and haplogroup frequencies were also analyzed. By AMOVA and STRUCTURE analysis, the populations of the 3 provinces could be treated genetically as a single population. The most frequent haplogroup was R1b1b2 (58.22%). By network analysis of all individuals, we observed a distribution according to haplogroup assignment. To improve the characterization of GMA population, it was compared with those of North Africa, the Iberian Peninsula, and southern Europe. In our analysis of allele frequencies and genetic distances, the GMA population lay within the Spanish population group. Further, in the STRUCTURE analysis, there was no African component in the GMA population, confirming that, based on our genetic markers, the GMA population does not reflect any male genetic influence of the North African people. The presence of African haplogroups in the GMA population is irrelevant when their frequency is compared with those in other European populations. |
format | Online Article Text |
id | pubmed-6435739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64357392019-04-03 Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs Saiz, María Alvarez-Cubero, Maria Jesus Lorente, José Antonio Alvarez, Juan Carlos Martinez-Gonzalez, Luis Javier Sci Rep Article The genetic data of 17 Y chromosome short tandem repeats in 146 unrelated donor residents in the provinces of Granada, Málaga, and Almería (GMA) were analyzed to determine the genetic legacy of the male inhabitants of the former Kingdom of Granada. A total of 139 unique haplotypes were identified. Observed allele frequencies and haplogroup frequencies were also analyzed. By AMOVA and STRUCTURE analysis, the populations of the 3 provinces could be treated genetically as a single population. The most frequent haplogroup was R1b1b2 (58.22%). By network analysis of all individuals, we observed a distribution according to haplogroup assignment. To improve the characterization of GMA population, it was compared with those of North Africa, the Iberian Peninsula, and southern Europe. In our analysis of allele frequencies and genetic distances, the GMA population lay within the Spanish population group. Further, in the STRUCTURE analysis, there was no African component in the GMA population, confirming that, based on our genetic markers, the GMA population does not reflect any male genetic influence of the North African people. The presence of African haplogroups in the GMA population is irrelevant when their frequency is compared with those in other European populations. Nature Publishing Group UK 2019-03-26 /pmc/articles/PMC6435739/ /pubmed/30914710 http://dx.doi.org/10.1038/s41598-019-41580-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Saiz, María Alvarez-Cubero, Maria Jesus Lorente, José Antonio Alvarez, Juan Carlos Martinez-Gonzalez, Luis Javier Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title | Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title_full | Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title_fullStr | Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title_full_unstemmed | Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title_short | Genetic structure in the paternal lineages of South East Spain revealed by the analysis of 17 Y-STRs |
title_sort | genetic structure in the paternal lineages of south east spain revealed by the analysis of 17 y-strs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6435739/ https://www.ncbi.nlm.nih.gov/pubmed/30914710 http://dx.doi.org/10.1038/s41598-019-41580-9 |
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