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A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds

Authors :
Simone Ceccobelli
Vincenzo Landi
Gabriele Senczuk
Salvatore Mastrangelo
Maria Teresa Sardina
Slim Ben-Jemaa
Christian Persichilli
Taki Karsli
Valentin-Adrian Bâlteanu
María Agustina Raschia
Mario Andrés Poli
Gabriel Ciappesoni
Farai Catherine Muchadeyi
Edgar Farai Dzomba
Nokuthula Winfred Kunene
Gesine Lühken
Tatiana Evgenievna Deniskova
Arsen Vladimirovich Dotsev
Natalia Anatolievna Zinovieva
Attila Zsolnai
István Anton
Szilvia Kusza
Nuno Carolino
Fátima Santos-Silva
Aldona Kawęcka
Marcin Świątek
Roman Niżnikowski
Marija Špehar
Gabriel Anaya
Antonio Granero
Tiago Perloiro
Pedro Cardoso
Silverio Grande
Beatriz López de los Santos
Coralie Danchin-Burge
Marina Pasquini
Amparo Martínez Martínez
Juan Vicente Delgado Bermejo
Emiliano Lasagna
Elena Ciani
Francesca Maria Sarti
Fabio Pilla
Ceccobelli S.
Landi V.
Senczuk G.
Mastrangelo S.
Sardina M.T.
Ben-Jemaa S.
Persichilli C.
Karsli T.
Balteanu V.-A.
Raschia M.A.
Poli M.A.
Ciappesoni G.
Muchadeyi F.C.
Dzomba E.F.
Kunene N.W.
Luhken G.
Deniskova T.E.
Dotsev A.V.
Zinovieva N.A.
Zsolnai A.
Anton I.
Kusza S.
Carolino N.
Santos-Silva F.
Kawecka A.
Swiatek M.
Niznikowski R.
Spehar M.
Anaya G.
Granero A.
Perloiro T.
Cardoso P.
Grande S.
de Los Santos B.L.
Danchin-Burge C.
Pasquini M.
Martinez Martinez A.
Delgado Bermejo J.V.
Lasagna E.
Ciani E.
Sarti F.M.
Pilla F.
Publication Year :
2023

Abstract

Background To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. Results The results indicate that a large part of the Merino’s genetic relatedness and admixture patterns are explained by their genetic background and/or geographic origin, followed by local admixture. Multi-dimensional scaling, Neighbor-Net, Admixture, and TREEMIX analyses consistently provided evidence of the role of Australian, Rambouillet and German strains in the extensive gene introgression into the other Merino and Merino-derived breeds. The close relationship between Iberian Merinos and other South-western European breeds is consistent with the Iberian origin of the Merino genetic type, with traces from previous contributions of other Mediterranean stocks. Using Rsb and XP-EHH approaches, signatures of selection were detected spanning four genomic regions located on Ovis aries chromosomes (OAR) 1, 6 and 16, whereas two genomic regions on OAR6, that partially overlapped with the previous ones, were highlighted by ROH islands. Overall, the three approaches identified 106 candidate genes putatively under selection. Among them, genes related to immune response were identified via the gene interaction network. In addition, several candidate genes were found, such as LEKR1, LCORL, GHR, RBPJ, BMPR1B, PPARGC1A, and PRKAA1, related to morphological, growth and reproductive traits, adaptive thermogenesis, and hypoxia responses. Conclusions To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....d6ef87a224945ed048c4d13390e9fd3e