Literature DB >> 33322839

The Genomic Variation in the Aosta Cattle Breeds Raised in an Extensive Alpine Farming System.

Maria Giuseppina Strillacci1, Mario Vevey2, Veruska Blanchet2, Roberto Mantovani3, Cristina Sartori3, Alessandro Bagnato1.   

Abstract

The Aosta Red Pied (Valdostana Pezzata Rossa (VRP)), the Aosta Black Pied (Valdostana Pezzata Nera (VBP)) and the Aosta Chestnut (Valdostana Castana (CAS)) are dual-purpose cattle breeds (meat and milk), very well adapted to the harsh environmental conditions of alpine territories: their farming is in fact characterized by summer pasture at very high altitude. A total of 728 individuals were genotyped with the GeenSeek Genomic Profiler® (GGP) Bovine 150K Illumina SNP chip as a part of the DUALBREEDING-PSRN Italian-funded research project. The genetic diversity among populations showed that the three breeds are distinct populations based on the FST values, ADMIXTURE and Principal Component Analysis (PCA) results. Runs of Homozygosity (ROH) were obtained for the three populations to disclose recent autozygosity. The genomic inbreeding based on the ROH was calculated and coupled with information derived from the F (inbreeding coefficient) and FST parameters. The mean FROH values were low: CAS = 0.06, VBP = 0.05 and VRP = 0.07, while the average F values were -0.003, -0.01 and -0.003, respectively. The annotation and enrichment analysis, performed in the identified most frequent ROH (TOP_ROH), showed genes that can be linked to the resilience capacity of these populations to harsh environmental farming conditions, and to the peculiar characteristics searched for by farmers in each breed.

Entities:  

Keywords:  Aosta cattle breeds; ROH; Runs of Homozygosity; autochthonous breeds; inbreeding

Year:  2020        PMID: 33322839     DOI: 10.3390/ani10122385

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  1 in total

1.  Identification of two new recessive MC1R alleles in red-coloured Evolèner cattle and other breeds.

Authors:  Miriam Hauser; Heidi Signer-Hasler; Luzia Küttel; Aurélien Capitan; Bernt Guldbrandtsen; Dirk Hinrichs; Christine Flury; Franz R Seefried; Cord Drögemüller
Journal:  Anim Genet       Date:  2022-04-22       Impact factor: 2.884

  1 in total

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