Evidence map›Paper›PMID 27630194›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Inevitability and containment of replication errors for eukaryotic genome lengths spanning megabase to gigabase.

Mohammed Al Mamun, Luca Albergante, Alberto Moreno, James T Carrington, J Julian Blow, Timothy J Newman

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
  6. CUL2EMBO reports · 2021
    Article
  7. NAR genomics and bioinformatics · 2021
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Emerging roles of CST in maintaining genome stability and human disease.Frontiers in bioscience (Landmark edition) · 2018
    Review
  20. Thymic involution and rising disease incidence with age.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

6 authors at 1 institution in 1 country.

Mohammed Al MamunDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK;
Luca AlberganteDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK;ORCID 0000-0001-8151-6989
Alberto MorenoCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
James T CarringtonCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
J Julian BlowCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
Timothy J NewmanDivision of Computational Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, UK; T.Newman@dundee.ac.uk.
University of Dundee · GB

Funding

Trans-NetworkU54CA143862 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MELDRUM, DEIRDRE R. · 2009 to 2013
$8.4M
NCI NIH HHS U54 CA143862Wellcome Trust
6 · The paper itself

Abstract

The replication of DNA is initiated at particular sites on the genome called replication origins (ROs). Understanding the constraints that regulate the distribution of ROs across different organisms is fundamental for quantifying the degree of replication errors and their downstream consequences. Using a simple probabilistic model, we generate a set of predictions on the extreme sensitivity of error rates to the distribution of ROs, and how this distribution must therefore be tuned for genomes of vastly different sizes. As genome size changes from megabases to gigabases, we predict that regularity of RO spacing is lost, that large gaps between ROs dominate error rates but are heavily constrained by the mean stalling distance of replication forks, and that, for genomes spanning ∼100 megabases to ∼10 gigabases, errors become increasingly inevitable but their number remains very small (three or less). Our theory predicts that the number of errors becomes significantly higher for genome sizes greater than ∼10 gigabases. We test these predictions against datasets in yeast, Arabidopsis, Drosophila, and human, and also through direct experimentation on two different human cell lines. Agreement of theoretical predictions with experiment and datasets is found in all cases, resulting in a picture of great simplicity, whereby the density and positioning of ROs explain the replication error rates for the entire range of eukaryotes for which data are available. The theory highlights three domains of error rates: negligible (yeast), tolerable (metazoan), and high (some plants), with the human genome at the extreme end of the middle domain.

Indexed as

DNA ReplicationGenome, HumanAnimalsArabidopsisBase PairingDNADrosophila melanogasterEukaryotaHeLa CellsHuman Embryonic Stem CellsHumansInduced Pluripotent Stem CellsReplication OriginTumor Suppressor p53-Binding Protein 1DNATP53BP1 protein, humanTumor Suppressor p53-Binding Protein 1eukaryotesgenome lengthmathematical modelingPoisson distributionreplication error

Identifiers

PMID27630194
PMCPMC5047159
OpenAlexW2519317072

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.