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The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees

The genetic variation of the European population at a macro-geographic scale follows genetic gradients which reflect main migration events. However, less is known about factors affecting mating patterns at a micro-geographic scale. In this study we have analyzed 726,718 autosomal single nucleotide v...

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Autores principales: Fibla, Joan, Maceda, Iago, Laplana, Marina, Guerrero, Montserrat, Álvarez, Miguel Martín, Burgueño, Jesús, Camps, Agustí, Fàbrega, Jordi, Felisart, Josefina, Grané, Joan, Remón, José Luis, Serra, Jordi, Moral, Pedro, Lao, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871830/
https://www.ncbi.nlm.nih.gov/pubmed/36704333
http://dx.doi.org/10.3389/fgene.2022.1100440
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author Fibla, Joan
Maceda, Iago
Laplana, Marina
Guerrero, Montserrat
Álvarez, Miguel Martín
Burgueño, Jesús
Camps, Agustí
Fàbrega, Jordi
Felisart, Josefina
Grané, Joan
Remón, José Luis
Serra, Jordi
Moral, Pedro
Lao, Oscar
author_facet Fibla, Joan
Maceda, Iago
Laplana, Marina
Guerrero, Montserrat
Álvarez, Miguel Martín
Burgueño, Jesús
Camps, Agustí
Fàbrega, Jordi
Felisart, Josefina
Grané, Joan
Remón, José Luis
Serra, Jordi
Moral, Pedro
Lao, Oscar
author_sort Fibla, Joan
collection PubMed
description The genetic variation of the European population at a macro-geographic scale follows genetic gradients which reflect main migration events. However, less is known about factors affecting mating patterns at a micro-geographic scale. In this study we have analyzed 726,718 autosomal single nucleotide variants in 435 individuals from the catalan Pyrenees covering around 200 km of a vast and abrupt region in the north of the Iberian Peninsula, for which we have information about the geographic origin of all grand-parents and parents. At a macro-geographic scale, our analyses recapitulate the genetic gradient observed in Spain. However, we also identified the presence of micro-population substructure among the sampled individuals. Such micro-population substructure does not correlate with geographic barriers such as the expected by the orography of the considered region, but by the bishoprics present in the covered geographic area. These results support that, on top of main human migrations, long ongoing socio-cultural factors have also shaped the genetic diversity observed at rural populations.
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spelling pubmed-98718302023-01-25 The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees Fibla, Joan Maceda, Iago Laplana, Marina Guerrero, Montserrat Álvarez, Miguel Martín Burgueño, Jesús Camps, Agustí Fàbrega, Jordi Felisart, Josefina Grané, Joan Remón, José Luis Serra, Jordi Moral, Pedro Lao, Oscar Front Genet Genetics The genetic variation of the European population at a macro-geographic scale follows genetic gradients which reflect main migration events. However, less is known about factors affecting mating patterns at a micro-geographic scale. In this study we have analyzed 726,718 autosomal single nucleotide variants in 435 individuals from the catalan Pyrenees covering around 200 km of a vast and abrupt region in the north of the Iberian Peninsula, for which we have information about the geographic origin of all grand-parents and parents. At a macro-geographic scale, our analyses recapitulate the genetic gradient observed in Spain. However, we also identified the presence of micro-population substructure among the sampled individuals. Such micro-population substructure does not correlate with geographic barriers such as the expected by the orography of the considered region, but by the bishoprics present in the covered geographic area. These results support that, on top of main human migrations, long ongoing socio-cultural factors have also shaped the genetic diversity observed at rural populations. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9871830/ /pubmed/36704333 http://dx.doi.org/10.3389/fgene.2022.1100440 Text en Copyright © 2023 Fibla, Maceda, Laplana, Guerrero, Álvarez, Burgueño, Camps, Fàbrega, Felisart, Grané, Remón, Serra, Moral and Lao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Fibla, Joan
Maceda, Iago
Laplana, Marina
Guerrero, Montserrat
Álvarez, Miguel Martín
Burgueño, Jesús
Camps, Agustí
Fàbrega, Jordi
Felisart, Josefina
Grané, Joan
Remón, José Luis
Serra, Jordi
Moral, Pedro
Lao, Oscar
The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title_full The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title_fullStr The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title_full_unstemmed The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title_short The power of geohistorical boundaries for modeling the genetic background of human populations: The case of the rural catalan Pyrenees
title_sort power of geohistorical boundaries for modeling the genetic background of human populations: the case of the rural catalan pyrenees
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871830/
https://www.ncbi.nlm.nih.gov/pubmed/36704333
http://dx.doi.org/10.3389/fgene.2022.1100440
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