Abstract

BackgroundGoat populations that are characterized within the AdaptMap project cover a large part of the worldwide distribution of this species and provide the opportunity to assess their diversity at a global scale. We analysed genome-wide 50 K single nucleotide polymorphism (SNP) data from 144 populations to describe the global patterns of molecular variation, compare them to those observed in other livestock species, and identify the drivers that led to the current distribution of goats.ResultsA high degree of genetic variability exists among the goat populations studied. Our results highlight a strong partitioning of molecular diversity between and within continents. Three major gene pools correspond to goats from Europe, Africa and West Asia. Dissection of sub-structures disclosed regional gene pools, which reflect the main post-domestication migration routes. We also identified several exchanges, mainly in African populations, and which often involve admixed and cosmopolitan breeds. Extensive gene flow has taken place within specific areas (e.g., south Europe, Morocco and Mali-Burkina Faso-Nigeria), whereas elsewhere isolation due to geographical barriers (e.g., seas or mountains) or human management has decreased local gene flows.ConclusionsAfter domestication in the Fertile Crescent in the early Neolithic era (ca. 12,000 YBP), domestic goats that already carried differentiated gene pools spread to Europe, Africa and Asia. The spread of these populations determined the major genomic background of the continental populations, which currently have a more marked subdivision than that observed in other ruminant livestock species. Subsequently, further diversification occurred at the regional level due to geographical and reproductive isolation, which was accompanied by additional migrations and/or importations, the traces of which are still detectable today. The effects of breed formation were clearly detected, particularly in Central and North Europe. Overall, our results highlight a remarkable diversity that occurs at the global scale and is locally partitioned and often affected by introgression from cosmopolitan breeds. These findings support the importance of long-term preservation of goat diversity, and provide a useful framework for investigating adaptive introgression, directing genetic improvement and choosing breeding targets.

Highlights

  • Goat populations that are characterized within the AdaptMap project cover a large part of the world‐ wide distribution of this species and provide the opportunity to assess their diversity at a global scale

  • Within-continent average heterozygosities calculated over the working dataset (WD) set were for: Africa, ­HO = 0.354 and ­HE = 0.360; Oceania, ­HO = 0.349 and H­E = 0.378; Europe: H­O = 0.355 and He = 0.379; West Asia, ­HO = 0.375 and ­HE = 0.348; North America: ­HO = 0.317 and ­HE = 0.399; South America: ­HO = 0.362 and ­HE = 0.379

  • Ascertainment bias single nucleotide polymorphism (SNP) have many advantages compared to microsatellites (e.g. [55]), but are susceptible to ascertainment bias, which derives from an over-representation of SNPs that have high minor allele frequencies (MAF) in the populations used to identify the polymorphic SNPs

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Summary

Introduction

Goat populations that are characterized within the AdaptMap project cover a large part of the world‐ wide distribution of this species and provide the opportunity to assess their diversity at a global scale. We analysed genome-wide 50 K single nucleotide polymorphism (SNP) data from 144 populations to describe the global patterns of molecular variation, compare them to those observed in other livestock species, and identify the drivers that led to the current distribution of goats. Goats are present in a wide variety of production environments. For these and other reasons, e.g., limited formal crossbreeding and presence of only a few cosmopolitan breeds compared to other livestock species [1], goats are among the best animals for studying genetic diversity and adaptation

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