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PMID: 20212021 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Analysis of copy number variations among diverse cattle breeds.

Genome research ·Vol. 20 ·No. 5 ·2010-05-00 ·Pages 693-703

Liu GE, Hou Y, Zhu B, Cardone MF, Jiang L, Cellamare A, Mitra A, Alexander LJ, Coutinho LL, Dell'Aquila ME, Gasbarre LC, Lacalandra G, Li RW, Matukumalli LK, Nonneman D, Regitano LC, Smith TP, Song J, Sonstegard TS, Van Tassell CP, Ventura M, Eichler EE, McDaneld TG, Keele JW

Abstract

Genomic structural variation is an important and abundant source of genetic and phenotypic variation. Here, we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR), and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, three Bos indicus, and three composite breeds for beef, dairy, or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 megabases or approximately 1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions, such as immunity, lactation, reproduction, and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in their CNV frequencies across diverse breeds, indicating that some cattle CNVs are likely to arise independently in breeds and contribute to breed differences. Our results provide a valuable resource beyond microsatellites and single nucleotide polymorphisms to explore the full dimension of genetic variability for future cattle genomic research.

MeSH Terms
Animals Breeding Cattle/classification,genetics Comparative Genomic Hybridization DNA Copy Number Variations Gene Dosage Genetics, Population Genome Genomic Structural Variation Genomics In Situ Hybridization, Fluorescence Oligonucleotide Array Sequence Analysis Polymerase Chain Reaction/methods Segmental Duplications, Genomic Species Specificity
Authors & Affiliations
24 authors, click to expand affiliations / ORCID
Liu George E
USDA-ARS, ANRI, Bovine Functional Genomics Laboratory, Beltsville, Maryland 20705, USA.
Hou Yali
Zhu Bin
Cardone Maria Francesca
Jiang Lu
Cellamare Angelo
Mitra Apratim
Alexander Leeson J
Coutinho Luiz L
Dell'Aquila Maria Elena
Gasbarre Lou C
Lacalandra Gianni
Li Robert W
Matukumalli Lakshmi K
Nonneman Dan
Regitano Luciana C de A
Smith Tim P L
Song Jiuzhou
Sonstegard Tad S
Van Tassell Curt P
Ventura Mario
Eichler Evan E
McDaneld Tara G
Keele John W
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1549-5469
Published
2010-05-00
Epub
2010-00-08
Pages
693-703
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC2860171
Subset
IM
Grants
NIGMS NIH HHS · R01 GM058815 · United States
NIGMS NIH HHS · GM058815 · United States
Databases
GEO
Analysis Services
Analysis Services

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