A deterministic analysis of genome integrity during neoplastic growth in Drosophila.

The development of cancer has been associated with the gradual acquisition of genetic alterations leading to a progressive increase in malignancy. In various cancer types this process is enabled and accelerated by genome instability. While genome sequencing-based analysis of tumor genomes becomes in...

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Main Authors: Cem Sievers, Federico Comoglio, Makiko Seimiya, Gunter Merdes, Renato Paro
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24516544/pdf/?tool=EBI
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spelling doaj-d76e795dc4dc4c11936a884ac0d3b9272021-03-04T09:53:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8709010.1371/journal.pone.0087090A deterministic analysis of genome integrity during neoplastic growth in Drosophila.Cem SieversFederico ComoglioMakiko SeimiyaGunter MerdesRenato ParoThe development of cancer has been associated with the gradual acquisition of genetic alterations leading to a progressive increase in malignancy. In various cancer types this process is enabled and accelerated by genome instability. While genome sequencing-based analysis of tumor genomes becomes increasingly a standard procedure in human cancer research, the potential necessity of genome instability for tumorigenesis in Drosophila melanogaster has, to our knowledge, never been determined at DNA sequence level. Therefore, we induced formation of tumors by depletion of the Drosophila tumor suppressor Polyhomeotic and subjected them to genome sequencing. To achieve a highly resolved delineation of the genome structure we developed the Deterministic Structural Variation Detection (DSVD) algorithm, which identifies structural variations (SVs) with high accuracy and at single base resolution. The employment of long overlapping paired-end reads enables DSVD to perform a deterministic, i.e. fragment size distribution independent, identification of a large size spectrum of SVs. Application of DSVD and other algorithms to our sequencing data reveals substantial genetic variation with respect to the reference genome reflecting temporal separation of the reference and laboratory strains. The majority of SVs, constituted by small insertions/deletions, is potentially caused by erroneous replication or transposition of mobile elements. Nevertheless, the tumor did not depict a loss of genome integrity compared to the control. Altogether, our results demonstrate that genome stability is not affected inevitably during sustained tumor growth in Drosophila implying that tumorigenesis, in this model organism, can occur irrespective of genome instability and the accumulation of specific genetic alterations.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24516544/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Cem Sievers
Federico Comoglio
Makiko Seimiya
Gunter Merdes
Renato Paro
spellingShingle Cem Sievers
Federico Comoglio
Makiko Seimiya
Gunter Merdes
Renato Paro
A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
PLoS ONE
author_facet Cem Sievers
Federico Comoglio
Makiko Seimiya
Gunter Merdes
Renato Paro
author_sort Cem Sievers
title A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
title_short A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
title_full A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
title_fullStr A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
title_full_unstemmed A deterministic analysis of genome integrity during neoplastic growth in Drosophila.
title_sort deterministic analysis of genome integrity during neoplastic growth in drosophila.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description The development of cancer has been associated with the gradual acquisition of genetic alterations leading to a progressive increase in malignancy. In various cancer types this process is enabled and accelerated by genome instability. While genome sequencing-based analysis of tumor genomes becomes increasingly a standard procedure in human cancer research, the potential necessity of genome instability for tumorigenesis in Drosophila melanogaster has, to our knowledge, never been determined at DNA sequence level. Therefore, we induced formation of tumors by depletion of the Drosophila tumor suppressor Polyhomeotic and subjected them to genome sequencing. To achieve a highly resolved delineation of the genome structure we developed the Deterministic Structural Variation Detection (DSVD) algorithm, which identifies structural variations (SVs) with high accuracy and at single base resolution. The employment of long overlapping paired-end reads enables DSVD to perform a deterministic, i.e. fragment size distribution independent, identification of a large size spectrum of SVs. Application of DSVD and other algorithms to our sequencing data reveals substantial genetic variation with respect to the reference genome reflecting temporal separation of the reference and laboratory strains. The majority of SVs, constituted by small insertions/deletions, is potentially caused by erroneous replication or transposition of mobile elements. Nevertheless, the tumor did not depict a loss of genome integrity compared to the control. Altogether, our results demonstrate that genome stability is not affected inevitably during sustained tumor growth in Drosophila implying that tumorigenesis, in this model organism, can occur irrespective of genome instability and the accumulation of specific genetic alterations.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24516544/pdf/?tool=EBI
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