Evidence map›Paper›PMID 21863017›Full record

ArticleNature communications2011

Discovery of lost diversity of paternal horse lineages using ancient DNA.

Sebastian Lippold, Michael Knapp, Tatyana Kuznetsova, Jennifer A Leonard, Norbert Benecke, Arne Ludwig, Morten Rasmussen, Alan Cooper, Jaco Weinstock, Eske Willerslev and 2 more

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In one paragraph

Article in Nature communications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 80 citations in OpenAlex.

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  16. Genetic variability and history of a native Finnish horse breed.Genetics, selection, evolution : GSE · 2019
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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

12 authors at 10 institutions in 9 countries.

Sebastian LippoldResearch Group Molecular Ecology, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany. sebastian_lippold@eva.mpg.de
Michael Knapp
Tatyana Kuznetsova
Jennifer A Leonard
Norbert Benecke
Arne Ludwig
Morten Rasmussen
Alan Cooper
Jaco Weinstock
Eske Willerslev
Beth Shapiro
Michael Hofreiter
Max Planck Institute for Evolutionary Anthropology · DEUniversity of Copenhagen · DKAllan Wilson Centre · NZDeutsches Archäologisches Institut, Zentrale · DELeibniz Institute for Zoo and Wildlife Research · DELomonosov Moscow State University · RUPennsylvania State University · USUniversity of Adelaide · AUUniversity of Southampton · GBUppsala University · SE

Funding

Wellcome Trust
6 · The paper itself

Abstract

Modern domestic horses display abundant genetic diversity within female-inherited mitochondrial DNA, but practically no sequence diversity on the male-inherited Y chromosome. Several hypotheses have been proposed to explain this discrepancy, but can only be tested through knowledge of the diversity in both the ancestral (pre-domestication) maternal and paternal lineages. As wild horses are practically extinct, ancient DNA studies offer the only means to assess this ancestral diversity. Here we show considerable ancestral diversity in ancient male horses by sequencing 4 kb of Y chromosomal DNA from eight ancient wild horses and one 2,800-year-old domesticated horse. Both ancient and modern domestic horses form a separate branch from the ancient wild horses, with the Przewalski horse at its base. Our methodology establishes the feasibility of re-sequencing long ancient nuclear DNA fragments and demonstrates the power of ancient Y chromosome DNA sequence data to provide insights into the evolutionary history of populations.

Indexed as

Genetic VariationAnimalsDNA, MitochondrialEvolution, MolecularFemaleHorsesMaleMolecular Sequence DataPhylogenyY ChromosomeDNA, Mitochondrial

Identifiers

PMID21863017
OpenAlexW2073340317

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.