Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2067/47390
Titolo: Signatures of selection in five Italian cattle breeds detected by a 54K SNP panel
Autori: Mancini, Giordano
Gargani, Maria
Chillemi, Giovanni 
Nicolazzi, Ezequiel Luis
Marsan, Paolo Ajmone
Valentini, Alessio 
Pariset, Lorraine
Rivista: MOLECULAR BIOLOGY REPORTS 
Data pubblicazione: 2014
Abstract: 
In this study we used a medium density panel of SNP markers to perform population genetic analysis in five Italian cattle breeds. The BovineSNP50 BeadChip was used to genotype a total of 2,935 bulls of Piedmontese, Marchigiana, Italian Holstein, Italian Brown and Italian Pezzata Rossa breeds. To determine a genome-wide pattern of positive selection we mapped the F st values against genome location. The highest F st peaks were obtained on BTA6 and BTA13 where some candidate genes are located. We identified selection signatures peculiar of each breed which suggest selection for genes involved in milk or meat traits. The genetic structure was investigated by using a multidimensional scaling of the genetic distance matrix and a Bayesian approach implemented in the STRUCTURE software. The genotyping data showed a clear partitioning of the cattle genetic diversity into distinct breeds if a number of clusters equal to the number of populations were given. Assuming a lower number of clusters beef breeds group together. Both methods showed all five breeds separated in well defined clusters and the Bayesian approach assigned individuals to the breed of origin. The work is of interest not only because it enriches the knowledge on the process of evolution but also because the results generated could have implications for selective breeding programs.
URI: http://hdl.handle.net/2067/47390
ISSN: 0301-4851
DOI: 10.1007/s11033-013-2940-5
È visualizzato nelle collezioni:A1. Articolo in rivista

File in questo documento:
File Descrizione DimensioniFormato Existing users please
Mancini14.pdf750.42 kBAdobe PDF  Richiedi una copia
Visualizza tutti i metadati del documento

SCOPUSTM
Citations 5

25
Last Week
0
Last month
0
controllato il 17-apr-2024

Page view(s)

63
Last Week
0
Last month
2
controllato il 20-apr-2024

Download(s)

2
controllato il 20-apr-2024

Google ScholarTM

Check

Altmetric


Tutti i documenti nella community "Unitus Open Access" sono pubblicati ad accesso aperto.
Tutti i documenti nella community Prodotti della Ricerca" sono ad accesso riservato salvo diversa indicazione per alcuni documenti specifici