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Analyses of copy number variation regions in the Nelore cattle genome

Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Marcos V. A Lemos , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, São Paulo, Brazil
Mariana P Berton , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, São Paulo, Brazil, Jaboticabal, Brazil, Jaboticabal, Brazil
Carolyn Aboujaoude , Universidade Estadual Paulista “Júlio de Mesquita Filho”- UNESP, Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, Brazil
Fabieli Feitosa , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, São Paulo, Brazil, Jaboticabal, Brazil, Jaboticabal, Brazil
Gregorio MF de Camargo , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Lucia Galvão Albuquerque , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Fernando Baldi , Universidade Estadual Paulista “Júlio de Mesquita Filho”- UNESP, Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, Brazil
Guilherme C Venturini , Sao Paulo State University (UNESP), Jaboticabal, Brazil
Abstract Text: The aim of this study was to characterize the distribution of CNV and CNV regions in the Nelore cattle genome. A total of 1,561 animals, finished in feedlot conditions, were used. The PennCNV algorithm was used for copy number variation (CNV) detection. The CNV regions (CNVRs) were appointed by overlapping 73,073 CNVs, identified by the CNVRuler program. The 6,399 CNV regions estimated in the present study cover approximately 8.80 % of the bovine genome. Considering the total of CNVRs obtained by CNVs of all sizes, 35.7 %, 41.0 % and 23.3 % of the CNVRs were copy insertion, copy deletion and both (insertion and deletion), respectively. This study confirms the existence of major structural variations or CNV regions in the Nelore cattle genome.

Keywords:

CNVR

Zebu cattle

Structural variation

See more of: Posters: Statistical and Genomic Tools for Mapping QTL and Genes (Group 2)
See more of: Methods and Tools: Statistical and genomic tools for mapping QTL and genes
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