TY - JOUR TI - An evolutionary model identifies the main evolutionary biases for the evolution of genome-replication profiles AU - Droghetti, Rossana AU - Agier, Nicolas AU - Fischer, Gilles AU - Gherardi, Marco AU - Cosentino Lagomarsino, Marco A2 - Krishna, Sandeep A2 - Barkai, Naama A2 - De Moura, Alessandro VL - 10 PY - 2021 DA - 2021/05/20 SP - e63542 C1 - eLife 2021;10:e63542 DO - 10.7554/eLife.63542 UR - https://doi.org/10.7554/eLife.63542 AB - 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. KW - yeast KW - replication KW - evolution KW - Lachancea KW - mathematical modelling JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -