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A copy number variant scan in the autochthonous Valdostana Red Pied cattle breed and comparison with specialized dairy populations. | LitMetric

AI Article Synopsis

  • Copy number variants (CNVs) are key genomic variations that can affect traits in various species, but previous studies on cattle have not extensively analyzed CNV patterns using high-density SNP arrays.* ! -
  • In this study, researchers conducted a high-resolution CNV scan on the Valdostana Red Pied (VRP) cattle population using a powerful Beadchip and identified 6,784 CNVs across 108 bulls, revealing distinct losses and gains in genetic information.* ! -
  • Comparisons revealed that the CNVs in VRP were more similar to those in the Italian Brown Swiss breed than to the Mexican Holstein, and analyses showed three separate clusters for the breeds, highlighting genetic differentiation potentially influenced by selective breeding

Article Abstract

Copy number variants (CNVs) are an important source of genomic structural variation, recognized to influence phenotypic variation in many species. Many studies have focused on identifying CNVs within and between human and livestock populations alike, but only few have explored population-genetic properties in cattle based on CNVs derived from a high-density SNP array. We report a high-resolution CNV scan using Illumina's 777k BovineHD Beadchip for Valdostana Red Pied (VRP), an autochthonous Italian dual-purpose cattle population reared in the Alps that did not undergo strong selection for production traits. After stringent quality control and filtering, CNVs were called across 108 bulls using the PennCNV software. A total of 6,784 CNVs were identified, summarized to 1,723 CNV regions (CNVRs) on 29 autosomes covering a total of ~59 Mb of the UMD3.1 assembly. Among the mapped CNVRs, there were 812 losses, 832 gains and 79 complexes. We subsequently performed a comparison of CNVs detected in the VRP and those available from published studies in the Italian Brown Swiss (IBS) and Mexican Holstein (HOL). A total of 171 CNVRs were common to all three breeds. Between VRP and IBS, 474 regions overlapped, while only 313 overlapped between VRP and HOL, indicating a more similar genetic background among populations with common origins, i.e. the Alps. The principal component, clustering and admixture analyses showed a clear separation of the three breeds into three distinct clusters. In order to describe the distribution of CNVs within and among breeds we used the pair VST statistic, considering only the CNVRs shared to more than 5 individuals (within breed). We identified unique and highly differentiated CNVs (n = 33), some of which could be due to specific breed selection and adaptation. Genes and QTL within these regions were characterized.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160104PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204669PLOS

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