Evidence map›Paper›PMID 16048766›Full record

ReviewProceedings. Biological sciences2005

Problems with mitochondrial DNA as a marker in population, phylogeographic and phylogenetic studies: the effects of inherited symbionts.

Gregory D D Hurst, Francis M Jiggins

Open access · bronzeAbstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 284 papers.

0numbers the graph read from it
0cells of the map it votes in
284citing papers in PubMed
37.3field-weighted citation impact, top 1% 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

284 citing papers in PubMed, 848 citations in OpenAlex.

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  15. A new species of theZooKeys · 2026
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  18. Frontiers in microbiology · 2026
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224 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Gregory D D HurstDepartment of Biology, University College London, 4 Stephenson Way, London NW1 2HE, UK. hurst@ucl.ac.uk
Francis M Jiggins
University College London · GBUniversity of Edinburgh · GB

Funding

Wellcome Trust 070535
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) has been a marker of choice for reconstructing historical patterns of population demography, admixture, biogeography and speciation. However, it has recently been suggested that the pervasive nature of direct and indirect selection on this molecule renders any conclusion derived from it ambiguous. We review here the evidence for indirect selection on mtDNA in arthropods arising from linkage disequilibrium with maternally inherited symbionts. We note first that these symbionts are very common in arthropods and then review studies that reveal the extent to which they shape mtDNA evolution. mtDNA diversity patterns are compatible with neutral expectations for an uninfected population in only 2 of 19 cases. The remaining 17 studies revealed cases of symbiont-driven reduction in mtDNA diversity, symbiont-driven increases in diversity, symbiont-driven changes in mtDNA variation over space and symbiont-associated paraphyly of mtDNA. We therefore conclude that these elements often confound the inference of an organism's evolutionary history from mtDNA data and that mtDNA on its own is an unsuitable marker for the study of recent historical events in arthropods. We also discuss the impact of these studies on the current programme of taxonomy based on DNA bar-coding.

Indexed as

Genetics, PopulationPhylogenySelection, GeneticSymbiosisAnimalsArthropodsDNA, MitochondrialEvolution, MolecularGenetic MarkersGenetic VariationGeographyLinkage DisequilibriumDNA, MitochondrialGenetic Markers

Identifiers

PMID16048766
PMCPMC1559843
OpenAlexW2142053228

What OpenQuestion holds

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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.