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Status: Bibliographieeintrag

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Verfasst von:Legrand, Carine [VerfasserIn]   i
 Andriantsoa, Ranja [VerfasserIn]   i
 Lichter, Peter [VerfasserIn]   i
 Raddatz, Günter [VerfasserIn]   i
 Lyko, Frank [VerfasserIn]   i
Titel:Time-resolved, integrated analysis of clonally evolving genomes
Verf.angabe:Carine Legrand, Ranja Andriantsoa, Peter Lichter, Günter Raddatz, Frank Lyko
Ausgabe:Version 2
E-Jahr:2023
Jahr:14 December 2023
Umfang:19 S.
Illustrationen:Illustrationen
Fussnoten:Gesehen am 23.04.2024
Titel Quelle:Enthalten in: Public Library of SciencePLoS Genetics
Ort Quelle:San Francisco, Calif. : Public Library of Science, 2005
Jahr Quelle:2023
Band/Heft Quelle:19(2023), 12, Artikel-ID e1011085, Seite 1-19
ISSN Quelle:1553-7404
Abstract:Clonal genome evolution is a key feature of asexually reproducing species and human cancer development. While many studies have described the landscapes of clonal genome evolution in cancer, few determine the underlying evolutionary parameters from molecular data, and even fewer integrate theory with data. We derived theoretical results linking mutation rate, time, expansion dynamics, and biological/clinical parameters. Subsequently, we inferred time-resolved estimates of evolutionary parameters from mutation accumulation, mutational signatures and selection. We then applied this framework to predict the time of speciation of the marbled crayfish, an enigmatic, globally invasive parthenogenetic freshwater crayfish. The results predict that speciation occurred between 1986 and 1990, which is consistent with biological records. We also used our framework to analyze whole-genome sequencing datasets from primary and relapsed glioblastoma, an aggressive brain tumor. The results identified evolutionary subgroups and showed that tumor cell survival could be inferred from genomic data that was generated during the resection of the primary tumor. In conclusion, our framework allowed a time-resolved, integrated analysis of key parameters in clonally evolving genomes, and provided novel insights into the evolutionary age of marbled crayfish and the progression of glioblastoma. Genomes evolve under the accumulation of mutations, and under the pressure of selective forces. While additional mechanisms are at play in sexually reproducing species, this is not the case in clonal genomes. Our study focuses on a parthogenetic animal and on cancer, since both possess a clonal genome, and in both cases evolutionary forces are key to understand expansion. We used modelling of mutation accumulation, in combination with Darwinian selection and with clock-like mutagenic processes. Using this framework, we showed a remarkably recent emergence date for P. virginalis and established its potential as a model system for clonal genome evolution. We highlighted subtle temporal dynamics of selection in tumor samples, and showed that tumor cell survival was correlated with the time to recurrence. Our findings illustrate the potential of this framework for modelling of clonal evolution and for the use of evolutionary parameters in a clinical context.
DOI:doi:10.1371/journal.pgen.1011085
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://doi.org/10.1371/journal.pgen.1011085
 kostenfrei: Volltext: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1011085
 DOI: https://doi.org/10.1371/journal.pgen.1011085
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:ACCUMULATION
 CANCER
 EVOLUTION
 MARBLED CRAYFISH
 MODEL
 PATTERNS
 RATES
 SELECTION
 SIGNATURES
 SPONTANEOUS MUTATION-RATE
K10plus-PPN:188658639X
Verknüpfungen:→ Zeitschrift

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