Evidence map›Paper›PMID 29079675›Full record

ArticleGenome research2017

Deep sequencing of natural and experimental populations of

Zoe June Assaf, Susanne Tilk, Jane Park, Mark L Siegal, Dmitri A Petrov

Abstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Estimating the evolutionary fitness of specific synonymous codon changes.bioRxiv : the preprint server for biology · 2026
    Article
  3. Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.Molecular biology and evolution · 2025
    Article
  4. The mutation landscape ofbioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. How Can We Resolve Lewontin's Paradox?Genome biology and evolution · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Zoe June AssafDepartment of Genetics, Stanford University, Stanford, California 94305, USA.
Susanne TilkDepartment of Biology, Stanford University, Stanford, California 94305, USA.
Jane ParkDepartment of Biology, Stanford University, Stanford, California 94305, USA.
Mark L SiegalDepartment of Biology, New York University, New York, New York 10003, USA.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, California 94305, USA.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Genomics of rapid adaptation on seasonal timescales in D. melanogasterR01GM100366 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI SCHMIDT, PAUL · 2012 to 2019
$3.3M
Genetic and Nongenetic Variation in Complex TraitsR35GM118170 · NIGMS · NEW YORK UNIVERSITY · PI SIEGAL, MARK L · 2016 to 2021
$1.7M
NHGRI NIH HHS T32 HG000044NIGMS NIH HHS R01 GM100366NIGMS NIH HHS R35 GM118165NIGMS NIH HHS R35 GM118170
6 · The paper itself

Abstract

Mutations provide the raw material of evolution, and thus our ability to study evolution depends fundamentally on having precise measurements of mutational rates and patterns. We generate a data set for this purpose using (1) de novo mutations from mutation accumulation experiments and (2) extremely rare polymorphisms from natural populations. The first, mutation accumulation (MA) lines are the product of maintaining flies in tiny populations for many generations, therefore rendering natural selection ineffective and allowing new mutations to accrue in the genome. The second, rare genetic variation from natural populations allows the study of mutation because extremely rare polymorphisms are relatively unaffected by the filter of natural selection. We use both methods in

Indexed as

High-Throughput Nucleotide SequencingMutationAnimalsBase CompositionBase PairingBiasDrosophila melanogasterFemaleMaleMutation RatePoint MutationPolymorphism, Genetic

Identifiers

PMID29079675
PMCPMC5741049

What OpenQuestion holds

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LicenceCC BY-NC
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.