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An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles.

TitleAn evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles.
Publication TypeJournal Article
Year of Publication2021
AuthorsDroghetti, R, Agier, N, Fischer, G, Gherardi, M, Cosentino Lagomarsino, M
JournalElife
Volume10
Date Published2021 May 20
ISSN2050-084X
Abstract

Recent results comparing the temporal program of genome replication of yeast species belonging to the clade support the scenario that the evolution of the replication timing program could be mainly driven by correlated acquisition and loss events of active replication origins. Using these results as a benchmark, we develop an evolutionary model defined as birth-death process for replication origins and use it to identify the evolutionary biases that shape the replication timing profiles. Comparing different evolutionary models with data, we find that replication origin birth and death events are mainly driven by two evolutionary pressures, the first imposes that events leading to higher double-stall probability of replication forks are penalized, while the second makes less efficient origins more prone to evolutionary loss. This analysis provides an empirically grounded predictive framework for quantitative evolutionary studies of the replication timing program.

DOI10.7554/eLife.63542
Alternate JournalElife
PubMed ID34013887
PubMed Central IDPMC8213407
Grant List(IG REF: 23258) / / Associazione Italiana per la Ricerca sul Cancro /
IG REF: 23258 / / Associazione Italiana per la Ricerca sul Cancro /

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