Copy Number Variation Mapping and Genomic Variation of Autochthonous and Commercial Turkey Populations

Strillacci, Maria G. and Gorla, Erica and Ríos-Utrera, Angel and Vega-Murillo, Vicente E. and Montaño-Bermudez, Moises and Garcia-Ruiz, Adriana and Cerolini, Silvia and Román-Ponce, Sergio I. and Bagnato, Alessandro (2019) Copy Number Variation Mapping and Genomic Variation of Autochthonous and Commercial Turkey Populations. Frontiers in Genetics, 10. ISSN 1664-8021

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Abstract

This study aims at investigating genomic diversity of several turkey populations using Copy Number Variants (CNVs). A total of 115 individuals from six Italian breeds (Colle Euganei, Bronzato Comune Italiano, Parma e Piacenza, Brianzolo, Nero d’Italia, and Ermellinato di Rovigo), seven Narragansett, 38 commercial hybrids, and 30 Mexican turkeys, were genotyped with the Affymetrix 600K single nucleotide polymorphism (SNP) turkey array. The CNV calling was performed with the Hidden Markov Model of PennCNV software and with the Copy Number Analysis Module of SVS 8.4 by Golden Helix®. CNV were summarized into CNV regions (CNVRs) at population level using BEDTools. Variability among populations has been addressed by hierarchical clustering (pvclust R package) and by principal component analysis (PCA). A total of 2,987 CNVs were identified covering 4.65% of the autosomes of the Turkey_5.0/melGal5 assembly. The CNVRs identified in at least two individuals were 362—189 gains, 116 losses, and 57 complexes. Among these regions the 51% contain annotated genes. This study is the first CNV mapping of turkey population using 600K chip. CNVs clustered the individuals according to population and their geographical origin. CNVs are known to be indicators also of adaptation, as some researches in different species are suggesting.

Item Type: Article
Subjects: OA Library Press > Medical Science
Depositing User: Unnamed user with email support@oalibrarypress.com
Date Deposited: 07 Feb 2023 10:34
Last Modified: 11 Jul 2024 08:17
URI: http://archive.submissionwrite.com/id/eprint/196

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