The evolution of the temporal program of genome replication

Nicolas Agier, Stéphane Delmas, Qing Zhang, Aubin Fleiss, Yan Jaszczyszyn, Erwin van Dijk, Claude Thermes, Martin Weigt, Marco Cosentino-Lagomarsino and Gilles Fischer ()
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Nicolas Agier: Laboratory of Computational and Quantitative Biology
Stéphane Delmas: Laboratory of Computational and Quantitative Biology
Qing Zhang: Laboratory of Computational and Quantitative Biology
Aubin Fleiss: Laboratory of Computational and Quantitative Biology
Yan Jaszczyszyn: Université Paris-Saclay
Erwin van Dijk: Université Paris-Saclay
Claude Thermes: Université Paris-Saclay
Martin Weigt: Laboratory of Computational and Quantitative Biology
Marco Cosentino-Lagomarsino: Laboratory of Computational and Quantitative Biology
Gilles Fischer: Laboratory of Computational and Quantitative Biology

Nature Communications, 2018, vol. 9, issue 1, 1-12

Abstract: Abstract Genome replication is highly regulated in time and space, but the rules governing the remodeling of these programs during evolution remain largely unknown. We generated genome-wide replication timing profiles for ten Lachancea yeasts, covering a continuous evolutionary range from closely related to more divergent species. We show that replication programs primarily evolve through a highly dynamic evolutionary renewal of the cohort of active replication origins. We found that gained origins appear with low activity yet become more efficient and fire earlier as they evolutionarily age. By contrast, origins that are lost comprise the complete range of firing strength. Additionally, they preferentially occur in close vicinity to strong origins. Interestingly, despite high evolutionary turnover, active replication origins remain regularly spaced along chromosomes in all species, suggesting that origin distribution is optimized to limit large inter-origin intervals. We propose a model on the evolutionary birth, death, and conservation of active replication origins.

Date: 2018
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DOI: 10.1038/s41467-018-04628-4

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