Abstract

The area of the Spanish Pyrenees is particularly interesting for studying the demographic dynamics of European rural areas given its orography, the main traditional rural condition of its population and the reported higher patterns of consanguinity of the region. Previous genetic studies suggest a gradient of genetic continuity of the area in the West to East axis. However, it has been shown that micro-population substructure can be detected when considering high-quality NGS data and using spatial explicit methods. In this work, we have analyzed the genome of 30 individuals sequenced at 40× from five different valleys in the Spanish Eastern Pyrenees (SEP) separated by less than 140 km along a west to east axis. Using haplotype-based methods and spatial analyses, we have been able to detect micro-population substructure within SEP not seen in previous studies. Linkage disequilibrium and autozygosity analyses suggest that the SEP populations show diverse demographic histories. In agreement with these results, demographic modeling by means of ABC-DL identify heterogeneity in their effective population sizes despite of their close geographic proximity, and suggests that the population substructure within SEP could have appeared around 2500 years ago. Overall, these results suggest that each rural population of the Pyrenees could represent a unique entity.

Highlights

  • These authors contributed : Iago Maceda, Miguel Martín Álvarez, Pedro Moral, Oscar Lao

  • In order to describe the genetic relationships of the Spanish Eastern Pyrenees (SEP) samples with the European continent, we first performed a multidimensional scaling (MDS) analysis

  • SEP populations cluster with samples from the Iberian Peninsula (Supplementary Fig. 2), following the geographic dependence of the genetic diversity observed for whole Europe in other studies [33]

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Summary

Introduction

These authors contributed : Iago Maceda, Miguel Martín Álvarez, Pedro Moral, Oscar Lao. We have characterized the genetic variation of the SEP rural population from five regions (Pallars (P), Alt Urgell (U), Berguedà (B), Ripollès (R), and Garrotxa (G)) separated by less than 140 km along a west to east axis, making use, for the first time, of high-coverage whole-genome sequencing (WGS) data. This allowed us the use of powerful haplotype-based methods (such as Chromopainter/fineSTRUCTURE [17] or GLOBETROTTER [18]), revealing genetic differences between close groups. It ensured an unbiased characterization of the allele frequency spectrum, something necessary in demographic modeling

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