A genome‐wide comparison between selected and unselected Valle del Belice sheep reveals differences in population structure and footprints of recent selection

Author:

Ben Jemaa Slim1ORCID,Tolone Marco2ORCID,Sardina Maria Teresa2ORCID,Di Gerlando Rosalia2ORCID,Chessari Giorgio3ORCID,Criscione Andrea3ORCID,Persichilli Christian4ORCID,Portolano Baldassare2ORCID,Mastrangelo Salvatore2ORCID

Affiliation:

1. Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie Université de Carthage Ariana Tunisia

2. Dipartimento Scienze Agrarie, Alimentari e Forestali University of Palermo Palermo Italy

3. Dipartimento Agricoltura, Alimentazione e Ambiente University of Catania Catania Italy

4. Dipartimento di Agraria, Ambientale e Scienze dell'alimentazione University of Molise Campobasso Italy

Abstract

AbstractAbout three decades of breeding and selection in the Valle del Belìce sheep are expected to have left several genomic footprints related to milk production traits. In this study, we have assembled a dataset with 451 individuals of the Valle del Belìce sheep breed: 184 animals that underwent directional selection for milk production and 267 unselected animals, genotyped for 40,660 single‐nucleotide polymorphisms (SNPs). Three different statistical approaches, both within (iHS and ROH) and between (Rsb) groups, were used to identify genomic regions potentially under selection. Population structure analyses separated all individuals according to their belonging to the two groups. A total of four genomic regions on two chromosomes were jointly identified by at least two statistical approaches. Several candidate genes for milk production were identified, corroborating the polygenic nature of this trait and which may provide clues to potential new selection targets. We also found candidate genes for growth and reproductive traits. Overall, the identified genes may explain the effect of selection to improve the performances related to milk production traits in the breed. Further studies using high‐density array data, would be particularly relevant to refine and validate these results.

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

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