Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea 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.

An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles / R. Droghetti, N. Agier, G. Fischer, M. Gherardi, M. Cosentino Lagomarsino. - In: ELIFE. - ISSN 2050-084X. - 10(2021 May 20), pp. e63542.1-e63542.20. [10.7554/eLife.63542]

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

Gherardi M.;Cosentino Lagomarsino M.
2021-05-20

Abstract

Recent results comparing the temporal program of genome replication of yeast species belonging to the Lachancea 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.
Lachancea; S. cerevisiae; computational biology; evolution; evolutionary biology; mathematical modelling; replication; systems biology; yeast
Settore BIO/18 - Genetica
Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici
ELIFE
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/864527
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