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Extensive genetic diversity and substructuring among zebrafish strains revealed through copy number variant analysis

  • Kim H. Brown
  • , Kimberly P. Dobrinski
  • , Arthur S. Lee
  • , Omer Gokcumen
  • , Ryan E. Mills
  • , Xinghua Shi
  • , Wilson W.S. Chong
  • , Jin Yun Helen Chen
  • , Paulo Yoo
  • , Sthuthi David
  • , Samuel M. Peterson
  • , Towfique Raj
  • , Kwong Wai Choy
  • , Barbara E. Stranger
  • , Robin E. Williamson
  • , Leonard I. Zon
  • , Jennifer L. Freeman
  • , Charles Lee
  • Brigham and Women’s Hospital
  • Harvard University
  • Washington University St. Louis
  • Chinese University of Hong Kong
  • Purdue University
  • The Broad Institute of MIT and Harvard
  • Massachusetts General Hospital
  • Boston Children's Hospital

Research output: Contribution to journalArticlepeer-review

99 Scopus citations

Abstract

Copy number variants (CNVs) represent a substantial source of genomic variation in vertebrates and have been associated with numerous human diseases. Despite this, the extent of CNVs in the zebrafish, an important model for human disease, remains unknown. Using 80 zebrafish genomes, representing three commonly used laboratory strains and one native population, we constructed a genome-wide, high-resolution CNV map for the zebrafish comprising 6,080 CNV elements and encompassing 14.6% of the zebrafish reference genome. This amount of copy number variation is four times that previously observed in other vertebrates, including humans. Moreover, 69% of the CNV elements exhibited strain specificity, with the highest number observed for Tubingen. This variation likely arose, in part, from Tubingen's large founding size and composite population origin. Additional population genetic studies also provided important insight into the origins and substructure of these commonly used laboratory strains. This extensive variation among and within zebrafish strains may have functional effects that impact phenotype and, if not properly addressed, such extensive levels of germ-line variation and population substructure in this commonly used model organism can potentially confound studies intended for translation to human diseases.

Original languageEnglish
Pages (from-to)529-534
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume109
Issue number2
DOIs
StatePublished - Jan 10 2012

Keywords

  • Comparative genomic hybridization
  • Gene expression
  • Structural variation

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