Evidence map›Paper›PMID 23916418›Full record

ReviewMutation research2013

Confounders of mutation-rate estimators: selection and phenotypic lag in Thermus thermophilus.

Grace E Kissling, Dennis W Grogan, John W Drake

Open access · greenAbstract readReview
In one paragraph

Review in Mutation research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Sources of spontaneous mutagenesis in bacteria.Critical reviews in biochemistry and molecular biology · 2018
    Review
  3. Article
  4. Segregation Lag in Polyploid Cells of the Pathogen GenusThe Yale journal of biology and medicine · 2017
    Article
  5. 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 at 2 institutions in 1 country.

Grace E KisslingBiostatistics Branch, National Institute of Environmental Health Sciences (NIH), Research Triangle Park, NC 27709, USA.
Dennis W Grogan
John W Drake
National Institute of Environmental Health Sciences · USUniversity of Cincinnati · US

Funding

Rates Of Spontaneous MutationZ01ES065016 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI DRAKE, JOHN W. · 2000 to 2008
$1.7M
Statistical collaboration in environmental health researchZIAES103106 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI KISSLING, GRACE E · 2012 to 2017
$656k
Intramural NIH HHS Z01 ES065016Intramural NIH HHS ZIA ES103106
6 · The paper itself

Abstract

In a recent description of the rate and character of spontaneous mutation in the hyperthermophilic bacterium Thermus thermophilus, the mutation rate was observed to be substantially lower than seen in several mesophiles. Subsequently, a report appeared indicating that this bacterium maintains an average of about 4.5 genomes per cell. This number of genomes might result in a segregation lag for the expression of a recessive mutation and might therefore lead to an underestimate of the rate of mutation. Here we describe some kinds of problems that may arise when estimating mutation rates and outline ways to adjust the rates accordingly. The emphasis is mainly on differential rates of growth of mutants versus their parents and on various kinds of phenotypic lag. We then apply these methods to the T. thermophilus data and conclude that there is as yet no reliable impact on a previously described rate.

Indexed as

Mutation RateGene Expression Regulation, BacterialModels, TheoreticalMutationPhenotypeSelection, GeneticThermus thermophilusDifferential growth ratesFluctuation testMutation ratePhenotypic lag

Identifiers

PMID23916418
PMCPMC4459638
OpenAlexW1975411775

What OpenQuestion holds

Textmetadata
LicenceTDM
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.