Evidence map›Paper›PMID 31993087›Full record

ArticleEvolutionary applications2020

Increased genetic marker density reveals high levels of admixture between red deer and introduced Japanese sika in Kintyre, Scotland.

S Eryn McFarlane, Darren C Hunter, Helen V Senn, Stephanie L Smith, Rebecca Holland, Jisca Huisman, Josephine M Pemberton

Abstract read
In one paragraph

Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Anthropogenic Change and the Process of Speciation.Cold Spring Harbor perspectives in biology · 2023
    Review
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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

7 authors.

S Eryn McFarlaneInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0002-0706-458X
Darren C HunterInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.
Helen V SennInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0002-3711-8753
Stephanie L SmithInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.
Rebecca HollandInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.
Jisca HuismanInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.
Josephine M PembertonInstitute of Evolutionary Biology School of Biological Science University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0002-0075-1504

Funding

Wellcome Trust
6 · The paper itself

Abstract

Hybridization is a natural process at species range boundaries, but increasing numbers of species are hybridizing due to direct or indirect human activities. In such cases of anthropogenic hybridization, subsequent introgression can threaten the survival of native species. To date, many such systems have been studied with too few genetic markers to assess the level of threat resulting from advanced backcrossing. Here, we use 44,999 single nucleotide polymorphisms (SNPs) and the ADMIXTURE program to study two areas of Scotland where a panel of 22 diagnostic microsatellites previously identified introgression between native red deer (

Indexed as

admixtureancestry informative markersanthropogenic hybridizationCervus elaphusC. nippondiagnostic markersgenomicsintrogression

Identifiers

PMID31993087
PMCPMC6976951

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.