Evidence map›Paper›PMID 29875360›Full record

ArticleNature communications2018

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, Gilles Fischer

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Absence of chromosome axis protein recruitment prevents meiotic recombination chromosome-wide in the budding yeastProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. The evolution of the human DNA replication timing program.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. DNA replication timing: Biochemical mechanisms and biological significance.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Genomic methods for measuring DNA replication dynamics.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2020
    Review
  11. Control of DNA replication timing in the 3D genome.Nature reviews. Molecular cell biology · 2019
    Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nicolas AgierSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.
Stéphane DelmasSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.
Qing ZhangSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.ORCID http://orcid.org/0000-0002-7001-0402
Aubin FleissSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.
Yan JaszczyszynInstitute for Integrative Biology of the Cell, UMR9198, CNRS CEA Univ Paris-Sud, Université Paris-Saclay, 91190, Gif sur Yvette Cedex, France.
Erwin van DijkInstitute for Integrative Biology of the Cell, UMR9198, CNRS CEA Univ Paris-Sud, Université Paris-Saclay, 91190, Gif sur Yvette Cedex, France.
Claude ThermesInstitute for Integrative Biology of the Cell, UMR9198, CNRS CEA Univ Paris-Sud, Université Paris-Saclay, 91190, Gif sur Yvette Cedex, France.
Martin WeigtSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.ORCID http://orcid.org/0000-0002-0492-3684
Marco Cosentino-LagomarsinoSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France.ORCID http://orcid.org/0000-0003-0235-0445
Gilles FischerSorbonne Université, CNRS, Institut de Biologie Paris-Seine, Laboratory of Computational and Quantitative Biology, F-75005, Paris, France. gilles.fischer@sorbonne-universite.fr.ORCID http://orcid.org/0000-0001-5732-2682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Evolution, MolecularChromosomes, FungalDNA ReplicationDNA Replication TimingGenome, FungalModels, GeneticPhylogenyReplication OriginSaccharomycetalesSpecies Specificity

Identifiers

PMID29875360
PMCPMC5989221

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.