Genomic and genetic variability of six chicken populations using single nucleotide polymorphism and copy number variants as markers. (7th November 2016)

• Record Type: Journal Article
• Authors: Strillacci, M. G.; Cozzi, M. C.; Gorla, E.; Mosca, F.; Schiavini, F.; Román-Ponce, S. I.; Ruiz López, F. J.; Schiavone, A.; Marzoni, M.; Cerolini, S.; Bagnato, A.
• Is Part Of: Animal. Volume 11:Number 5(2017:May)
• Page Start: 737
• Page End: 745
• Publication Date: 2016-11-07
• Subjects: single nucleotide polymorphism, -- copy number variation, -- poultry, -- biodiversity, -- genetic variability; Animal breeding -- Periodicals; Animal genetics -- Periodicals; Animal nutrition -- Periodicals; Animal physiology -- Periodicals; Environmental sciences -- Periodicals; 636.005
• DOI: 10.1017/S1751731116002135
• Languages: English
• ISSNs: 1751-7311

Abstract

Abstract : Genomic and genetic variation among six Italian chicken native breeds (Livornese, Mericanel della Brianza, Milanino, Bionda Piemontese, Bianca di Saluzzo and Siciliana) were studied using single nucleotide polymorphism (SNP) and copy number variants (CNV) as markers. A total of 94 DNA samples genotyped with Axiom ® Genome-Wide Chicken Genotyping Array (Affymetrix) were used in the analyses. The results showed the genetic and genomic variability occurring among the six Italian chicken breeds. The genetic relationship among animals was established with a principal component analysis. The genetic diversity within breeds was calculated using heterozygosity values (expected and observed) and with Wright's F -statistics. The individual-based CNV calling, based on log R ratio and B-allele frequency values, was done by the Hidden–Markov Model (HMM) of PennCNV software on autosomes. A hierarchical agglomerative clustering was applied in each population according to the absence or presence of definite CNV regions (CNV were grouped by overlapping of at least 1 bp). The CNV map was built on a total of 1003 CNV found in individual samples, after grouping by overlaps, resulting in 564 unique CNV regions (344 gains, 213 losses and 7 complex), for a total of 9.43 Mb of sequence and 1.03% of the chicken assembly autosome. All the approaches using SNP data showed that the Siciliana breed clearly differentiate from other populations, the Livornese breed separates into two distinct groups according to the feather colour (i.e. white and black) and the Bionda Piemontese and Bianca di Saluzzo breeds are closely related. The genetic variability found using SNP is comparable with that found by other authors in the same breeds using microsatellite markers. The CNV markers analysis clearly confirmed the SNP results.