U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Animal Genomics and Improvement Laboratory: Beltsville, MD
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    Careers


        


                    AIP
                        Home
                                    About
                                    Publications
                                    Software
                                    People
                                    Collaborations
                                    Careers
                                    Centennial
                                    Contact
                                    Dairy industry links
                    DirectionsSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Animal Genomics and Improvement Laboratory Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications
- IACUC
- Home
- About
- Publications
- Software
- People
- Collaborations
- Careers
- Centennial
- Contact
- Dairy industry links
- Home
- Queries login
- News
- Animal Evaluation lists
- Genotype counts

Title:   Author  item
                                            Bickhart, Derekitem
                                            XU, LINGYANG - University Of Marylanditem
                                            Hutchison, Janaitem
                                            Sonstegard, Taditem
                                            Van Tassell, Curtis

                                                         - *Curt*item
                                            Schroeder, Steven

                                                         - *Steve*item
                                            FERNANDO GARCIA, JOSE - Universidade Estadual Paulista (UNESP)item
                                            TAYLOR, JEREMY - University Of Missouriitem
                                            SCHNABEL, ROBERT - University Of Missouriitem
                                            LEWIN, HARRIS - University Of Californiaitem
                                            Liu, Ge

                                                         - *George*
  Submitted to: CONFERENCE ON THE BIOLOGY OF GENOMES
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 4/8/2014
                                    Publication  Date: 4/10/2014
                                    Citation: Bickhart, D.M., Xu, L., Hutchison, J.L., Sonstegard, T.S., Van Tassell, C.P., Schroeder, S.G., Fernando Garcia, J., Taylor, J.F., Schnabel, R.D., Lewin, H.A., Liu, G. 2014. Population sequencing reveals breed and sub-species specific CNVs in cattle. CONFERENCE ON THE BIOLOGY OF GENOMES. Conference on the Biology of Genomes, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY. p199.Interpretive Summary:
                                Technical Abstract: Individualized copy number variation (CNV) maps have highlighted the need for population surveys of cattle to detect rare and common variants. While SNP and comparative genomic hybridization (CGH) arrays have provided preliminary data, next-generation sequence (NGS) data analysis offers an increased resolution and sensitivity for CNV detection. In this study, we analyzed NGS sequence data derived from 67 taurine (consisting of the Angus, Holstein, Jersey, Limousin and Romagnola breeds) and 20 indicine cattle (consisting of the Brahman, Gir and Nelore breeds). Individual genome sequence coverage ranged from 4X to 30X , with an average coverage of 11.8X across animals. To identify CNVs, we used a customized read-depth CNV calling algorithm that utilizes population-scale data to derive a smoothing coefficient for lowess normalization. We identified 2,947 unique CNV regions that account for approximately 4% (117 Mbp) of the cattle genome. Several dairy- and beef-breed specific variants were found, including a duplication of the cell growth-related RICTOR gene in dairy breeds and a duplication of the Patatin-like phospholipase 3 (PNPLA3) gene in beef breeds. Identification of low frequency and breed-specific CNVs within cattle will enable a better understanding of functional variants influenced by domestication and selection for performance traits.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov