Structural rearrangements of the genome resulting in genic imbalance due to copy number change are often deleterious at the organismal level, but are common in immortalized cell lines and tumors, where they may be an advantage to cells. In order to explore the biological consequences of copy number changes in the Drosophila genome, we resequenced the genomes of 19 tissue-culture cell lines and generated RNA-Seq profiles. Our work revealed dramatic duplications and deletions in all cell lines. We found three lines of evidence indicating that copy number changes were due to selection during tissue culture. First, we found that copy numbers correlated to maintain stoichiometric balance in protein complexes and biochemical pathways, consistent with the gene balance hypothesis. Second, while most copy number changes were cell line-specific, we identified some copy number changes shared by many of the independent cell lines. These included dramatic recurrence of increased copy number of the PDGF/VEGF receptor, which is also over-expressed in many cancer cells, and of bantam, an anti-apoptosis miRNA. Third, even when copy number changes seemed distinct between lines, there was strong evidence that they supported a common phenotypic outcome. For example, we found that proto-oncogenes were over-represented in one cell line (S2-DRSC), whereas tumor suppressor genes were under-represented in another (Kc167). Our study illustrates how genome structure changes may contribute to selection of cell lines in vitro. This has implications for other cell-level natural selection progressions, including tumorigenesis.
DNA copy number evolution in Drosophila cell lines
Hangnoh Lee,C. McManus,Dong-Yeon Cho,M. Eaton,F. Renda,M. P. Somma,L. Cherbas,Gemma E. May,S. Powell,Dayu Zhang,L. Zhan,Alissa M. Resch,J. Andrews,S. Celniker,P. Cherbas,T. Przytycka,M. Gatti,B. Oliver,B. Graveley,D. MacAlpine
Published 2014 in Genome Biology
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- Publication year
2014
- Venue
Genome Biology
- Publication date
2014-08-01
- Fields of study
Biology, Medicine
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Semantic Scholar, PubMed
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