Evidence map›Paper›PMID 27924839›Full record

ArticleScientific reports2016

Spotted phenotypes in horses lost attractiveness in the Middle Ages.

Saskia Wutke, Norbert Benecke, Edson Sandoval-Castellanos, Hans-Jürgen Döhle, Susanne Friederich, Javier Gonzalez, Jón Hallsteinn Hallsson, Michael Hofreiter, Lembi Lõugas, Ola Magnell and 7 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. EWF: simulating exact paths of the Wright-Fisher diffusion.Bioinformatics (Oxford, England) · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Saskia WutkeLeibniz Institute for Zoo and Wildlife Research, Department of Evolutionary Genetics, 10315 Berlin, Germany.
Norbert BeneckeGerman Archaeological Institute, Department of Natural Sciences, Berlin, 14195 Berlin, Germany.
Edson Sandoval-CastellanosCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, Mexico.
Hans-Jürgen DöhleLandesamt für Denkmalpflege und Archäologie Sachsen-Anhalt - Landesmuseum für Vorgeschichte, 06114 Halle (Saale), Germany.
Susanne FriederichLandesamt für Denkmalpflege und Archäologie Sachsen-Anhalt - Landesmuseum für Vorgeschichte, 06114 Halle (Saale), Germany.
Javier GonzalezUniversity of Potsdam, Faculty of Mathematics and Natural Sciences, Institute for Biochemistry and Biology, 14476 Potsdam, Germany.
Jón Hallsteinn HallssonThe Agricultural University of Iceland, Faculty of Land and Animal Resources, IS-112 Reykjavik, Iceland.
Michael HofreiterUniversity of Potsdam, Faculty of Mathematics and Natural Sciences, Institute for Biochemistry and Biology, 14476 Potsdam, Germany.
Lembi LõugasArchaeological Research Collection, Tallinn University, Rüütli 10, 10130 Tallinn, Estonia.
Ola MagnellNational Historical Museums, Contract Archaeology, 226 60 Lund, Sweden.
Arturo Morales-MunizUniversidad Autonoma de Madrid, Laboratory of Archaeozoology, Madrid, Spain.
Ludovic OrlandoCentre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, 1350K Copenhagen, Denmark.
Albína Hulda PálsdóttirThe Agricultural University of Iceland, Faculty of Land and Animal Resources, IS-112 Reykjavik, Iceland.
Monika ReissmannHumboldt University Berlin, Faculty of Life Sciences, Albrecht Daniel Thaer-Institute, 10115 Berlin, Germany.
Matej RuttkaySlovak Academy of Sciences, Institute of Archaeology, 949 21 Nitra, Slovak Republic.
Alexandra TrinksUniversity of Potsdam, Faculty of Mathematics and Natural Sciences, Institute for Biochemistry and Biology, 14476 Potsdam, Germany.
Arne LudwigLeibniz Institute for Zoo and Wildlife Research, Department of Evolutionary Genetics, 10315 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horses have been valued for their diversity of coat colour since prehistoric times; this is especially the case since their domestication in the Caspian steppe in ~3,500 BC. Although we can assume that human preferences were not constant, we have only anecdotal information about how domestic horses were influenced by humans. Our results from genotype analyses show a significant increase in spotted coats in early domestic horses (Copper Age to Iron Age). In contrast, medieval horses carried significantly fewer alleles for these phenotypes, whereas solid phenotypes (i.e., chestnut) became dominant. This shift may have been supported because of (i) pleiotropic disadvantages, (ii) a reduced need to separate domestic horses from their wild counterparts, (iii) a lower religious prestige, or (iv) novel developments in weaponry. These scenarios may have acted alone or in combination. However, the dominance of chestnut is a remarkable feature of the medieval horse population.

Indexed as

PigmentationAnimalsComputer SimulationDNA, AncientHorsesMonte Carlo MethodPhenotypeTime FactorsDNA, Ancient

Identifiers

PMID27924839
PMCPMC5141471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.