Evidence map›Paper›PMID 28250208›Full record

ArticleBiology letters2017

Evolution of mutation rates in hypermutable populations of

Tanya Singh, Meredith Hyun, Paul Sniegowski

Abstract read
In one paragraph

Article in Biology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Tanya SinghDepartment of Biology, Leidy Laboratories, University of Pennsylvania, Philadelphia, PA 19104, USA tsingh@cvm.tamu.edu.ORCID 0000-0001-7502-6561
Meredith HyunDepartment of Biology, Leidy Laboratories, University of Pennsylvania, Philadelphia, PA 19104, USA.
Paul SniegowskiDepartment of Biology, Leidy Laboratories, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutation is the ultimate source of the genetic variation-including variation for mutation rate itself-that fuels evolution. Natural selection can raise or lower the genomic mutation rate of a population by changing the frequencies of mutation rate modifier alleles associated with beneficial and deleterious mutations. Existing theory and observations suggest that where selection is minimized, rapid systematic evolution of mutation rate either up or down is unlikely. Here, we report systematic evolution of higher and lower mutation rates in replicate hypermutable

Indexed as

Evolution, MolecularAnti-Bacterial AgentsDrug Resistance, MicrobialEscherichia coliGenetic FitnessMutation RateNalidixic AcidSelection, GeneticStreptomycinAnti-Bacterial AgentsNalidixic AcidStreptomycinantimutatorsasexual populationsevolution of mutation ratesindirect selectionmutation accumulationmutators

Identifiers

PMID28250208
PMCPMC5377030

What OpenQuestion holds

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Registered trials

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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.