Evidence map›Paper›PMID 17947436›Full record

ArticleGenetics2007

An unusually low microsatellite mutation rate in Dictyostelium discoideum, an organism with unusually abundant microsatellites.

Ryan McConnell, Sara Middlemist, Clea Scala, Joan E Strassmann, David C Queller

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Frontiers in cell and developmental biology · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Microsatellites as targets of natural selection.Molecular biology and evolution · 2013
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
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  17. Article
  18. Mutational dynamics of microsatellites.Molecular biotechnology · 2010
    Review
  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 at 1 institution in 1 country.

Ryan McConnellDepartment of Ecology and Evolutionary Biology, Rice University, Houston, Texas 77005, USA.
Sara Middlemist
Clea Scala
Joan E Strassmann
David C Queller
Rice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genome of the social amoeba Dictyostelium discoideum is known to have a very high density of microsatellite repeats, including thousands of triplet microsatellite repeats in coding regions that apparently code for long runs of single amino acids. We used a mutation accumulation study to see if unusually high microsatellite mutation rates contribute to this pattern. There was a modest bias toward mutations that increase repeat number, but because upward mutations were smaller than downward ones, this did not lead to a net average increase in size. Longer microsatellites had higher mutation rates than shorter ones, but did not show greater directional bias. The most striking finding is that the overall mutation rate is the lowest reported for microsatellites: approximately 1 x 10(-6) for 10 dinucleotide loci and 6 x 10(-6) for 52 trinucleotide loci (which were longer). High microsatellite mutation rates therefore do not explain the high incidence of microsatellites. The causal relation may in fact be reversed, with low mutation rates evolving to protect against deleterious fitness effects of mutation at the numerous microsatellites.

Indexed as

Microsatellite RepeatsMutationAnimalsBase SequenceDictyosteliumDinucleotide RepeatsDNA PrimersDNA, ProtozoanTrinucleotide RepeatsDNA PrimersDNA, Protozoan

Identifiers

PMID17947436
PMCPMC2147952
OpenAlexW2119436849

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.