Genomic signatures of selection, local adaptation and production type characterisation of East Adriatic sheep breeds.

Composite-likelihood ratio East Adriatic sheep Extreme ROH islands Genomic selection signatures Integrated haplotype score Number of segregating sites by length

Journal

Journal of animal science and biotechnology
ISSN: 1674-9782
Titre abrégé: J Anim Sci Biotechnol
Pays: England
ID NLM: 101581293

Informations de publication

Date de publication:
06 Nov 2023
Historique:
received: 15 05 2023
accepted: 04 09 2023
medline: 7 11 2023
pubmed: 7 11 2023
entrez: 7 11 2023
Statut: epublish

Résumé

The importance of sheep breeding in the Mediterranean part of the eastern Adriatic has a long tradition since its arrival during the Neolithic migrations. Sheep production system is extensive and generally carried out in traditional systems without intensive systematic breeding programmes for high uniform trait production (carcass, wool and milk yield). Therefore, eight indigenous Croatian sheep breeds from eastern Adriatic treated here as metapopulation (EAS), are generally considered as multipurpose breeds (milk, meat and wool), not specialised for a particular type of production, but known for their robustness and resistance to certain environmental conditions. Our objective was to identify genomic regions and genes that exhibit patterns of positive selection signatures, decipher their biological and productive functionality, and provide a "genomic" characterization of EAS adaptation and determine its production type. We identified positive selection signatures in EAS using several methods based on reduced local variation, linkage disequilibrium and site frequency spectrum (eROHi, iHS, nSL and CLR). Our analyses identified numerous genomic regions and genes (e.g., desmosomal cadherin and desmoglein gene families) associated with environmental adaptation and economically important traits. Most candidate genes were related to meat/production and health/immune response traits, while some of the candidate genes discovered were important for domestication and evolutionary processes (e.g., HOXa gene family and FSIP2). These results were also confirmed by GO and QTL enrichment analysis. Our results contribute to a better understanding of the unique adaptive genetic architecture of EAS and define its productive type, ultimately providing a new opportunity for future breeding programmes. At the same time, the numerous genes identified will improve our understanding of ruminant (sheep) robustness and resistance in the harsh and specific Mediterranean environment.

Sections du résumé

BACKGROUND BACKGROUND
The importance of sheep breeding in the Mediterranean part of the eastern Adriatic has a long tradition since its arrival during the Neolithic migrations. Sheep production system is extensive and generally carried out in traditional systems without intensive systematic breeding programmes for high uniform trait production (carcass, wool and milk yield). Therefore, eight indigenous Croatian sheep breeds from eastern Adriatic treated here as metapopulation (EAS), are generally considered as multipurpose breeds (milk, meat and wool), not specialised for a particular type of production, but known for their robustness and resistance to certain environmental conditions. Our objective was to identify genomic regions and genes that exhibit patterns of positive selection signatures, decipher their biological and productive functionality, and provide a "genomic" characterization of EAS adaptation and determine its production type.
RESULTS RESULTS
We identified positive selection signatures in EAS using several methods based on reduced local variation, linkage disequilibrium and site frequency spectrum (eROHi, iHS, nSL and CLR). Our analyses identified numerous genomic regions and genes (e.g., desmosomal cadherin and desmoglein gene families) associated with environmental adaptation and economically important traits. Most candidate genes were related to meat/production and health/immune response traits, while some of the candidate genes discovered were important for domestication and evolutionary processes (e.g., HOXa gene family and FSIP2). These results were also confirmed by GO and QTL enrichment analysis.
CONCLUSIONS CONCLUSIONS
Our results contribute to a better understanding of the unique adaptive genetic architecture of EAS and define its productive type, ultimately providing a new opportunity for future breeding programmes. At the same time, the numerous genes identified will improve our understanding of ruminant (sheep) robustness and resistance in the harsh and specific Mediterranean environment.

Identifiants

pubmed: 37932811
doi: 10.1186/s40104-023-00936-y
pii: 10.1186/s40104-023-00936-y
pmc: PMC10626677
doi:

Types de publication

Journal Article

Langues

eng

Pagination

142

Subventions

Organisme : Hrvatska Zaklada za Znanost
ID : IP-2018-01-8708
Organisme : EU Operational Program Competitiveness and Cohesion 2014-2020
ID : KK.01.1.1.04.0058
Organisme : Ministry of Agriculture, Czech Republic
ID : QK1919156

Informations de copyright

© 2023. The Author(s).

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Auteurs

Boris Lukic (B)

Faculty of Agrobiotechnical Sciences Osijek, J.J, Strossmayer University of Osijek, Vladimira Preloga 1, 31000, Osijek, Croatia. blukic@fazos.hr.

Ino Curik (I)

Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia. icurik@agr.hr.

Ivana Drzaic (I)

Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia.

Vlatko Galić (V)

Department of Maize Breeding and Genetics, Agricultural Institute Osijek, Južno predgrađe 17, 31000, Osijek, Croatia.

Mario Shihabi (M)

Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia.

Luboš Vostry (L)

Czech University of Life Sciences Prague, Kamýcká 129, 165 00, Praque, Czech Republic.

Vlatka Cubric-Curik (V)

Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska Cesta 25, 10000, Zagreb, Croatia.

Classifications MeSH