Background: Copy number variations are genome polymorphism that influence phenotypic variation and are an important source of genetic variation in populations. The aim of this study was to investigate genetic variability in the Mexican Creole chicken population using CNVs. Results: The Hidden Markov Model of the PennCNV software detected a total of 1924 CNVs in the genome of the 256 samples processed with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix). The mapped CNVs comprised 1538 gains and 386 losses, resulting at population level in 1216 CNV regions (CNVRs), of which 959 gains, 226 losses and 31 complex (i.e. containing both losses and gains). The CNVRs covered a total of 47 Mb of the whole genome sequence length, corresponding to 5.12% of the chicken galGal4 autosome assembly. Conclusions: This study allowed a deep insight into the structural variation in the genome of unselected Mexican chicken population, which up to now has not been genetically characterized. The genomic study disclosed that the population, even if presenting extreme morphological variation, cannot be organized in differentiated genetic subpopulations. Finally this study provides a chicken CNV map based on the 600 K SNP chip array jointly with a genome-wide gene copy number estimates in a native unselected for more than 500 years chicken population.

Genomic variability in Mexican chicken population using copy number variants / E. Gorla, M.C. Cozzi, S.I. Román-Ponce, F.J. Ruiz López, V.E. Vega Murillo, S. Cerolini, A. Bagnato, M.G. Strillacci. - In: BMC GENETICS. - ISSN 1471-2156. - 18:1(2017 Jul 03). [10.1186/s12863-017-0524-4]

Genomic variability in Mexican chicken population using copy number variants

E. Gorla
Primo
;
M.C. Cozzi
Secondo
;
S.I. Román-Ponce;S. Cerolini;A. Bagnato
Penultimo
;
M.G. Strillacci
Ultimo
2017-07-03

Abstract

Background: Copy number variations are genome polymorphism that influence phenotypic variation and are an important source of genetic variation in populations. The aim of this study was to investigate genetic variability in the Mexican Creole chicken population using CNVs. Results: The Hidden Markov Model of the PennCNV software detected a total of 1924 CNVs in the genome of the 256 samples processed with Axiom® Genome-Wide Chicken Genotyping Array (Affymetrix). The mapped CNVs comprised 1538 gains and 386 losses, resulting at population level in 1216 CNV regions (CNVRs), of which 959 gains, 226 losses and 31 complex (i.e. containing both losses and gains). The CNVRs covered a total of 47 Mb of the whole genome sequence length, corresponding to 5.12% of the chicken galGal4 autosome assembly. Conclusions: This study allowed a deep insight into the structural variation in the genome of unselected Mexican chicken population, which up to now has not been genetically characterized. The genomic study disclosed that the population, even if presenting extreme morphological variation, cannot be organized in differentiated genetic subpopulations. Finally this study provides a chicken CNV map based on the 600 K SNP chip array jointly with a genome-wide gene copy number estimates in a native unselected for more than 500 years chicken population.
chicken; copy number variant; genetic variability; animals; genetic markers
Settore AGR/17 - Zootecnica Generale e Miglioramento Genetico
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/532799
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