Evidence map›Paper›PMID 19324622›Full record

ArticleBiology letters2009

Modelling mitochondrial site polymorphisms to infer the number of segregating units and mutation rate.

Michael D Hendy, Michael D Woodhams, Andrew Dodd

Abstract read
In one paragraph

Article in Biology letters, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. Article
  4. Bottleneck and selection in the germline and maternal age influence transmission of mitochondrial DNA in human pedigrees.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  5. Varied Mechanisms and Models for the Varying Mitochondrial Bottleneck.Frontiers in cell and developmental biology · 2019
    Article
  6. Article
  7. Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  8. Article
  9. 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.

Michael D HendyAllan Wilson Centre, Massey University, Palmerston North 4474, New Zealand. m.hendy@massey.ac.nz
Michael D Woodhams
Andrew Dodd

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a mathematical model of mitochondrial inheritance evolving under neutral evolution to interpret the heteroplasmies observed at some sites. A comparison of the levels of heteroplasmies transmitted from mother to her offspring allows us to estimate the number N(x) of inherited mitochondrial genomes (segregating units). The model demonstrates the necessity of accounting for both the multiplicity of an unknown number N(x), and the threshold , below which heteroplasmy cannot be detected reliably, in order to estimate the mitochondrial mutation rate mu(m) in the maternal line of descent. Our model is applicable to pedigree studies of any eukaryotic species where site heteroplasmies are observed in regions of the mitochondria, provided neutrality can be assumed. The model is illustrated with an analysis of site heteroplasmies in the first hypervariable region of mitochondrial sequence data sampled from Adélie penguin families, providing an estimate N(x) and mu(m). This estimate of mu(m) was found to be consistent with earlier estimates from ancient DNA analysis.

Indexed as

Models, GeneticPolymorphism, GeneticDNA, MitochondrialEvolution, MolecularMitochondriaDNA, Mitochondrial

Identifiers

PMID19324622
PMCPMC2679937

What OpenQuestion holds

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LicenceCC BY
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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.