Evidence map›Paper›PMID 31011533›Full record

ArticleInternational journal for parasitology. Parasites and wildlife2019

Quantitative genetics of gastrointestinal strongyle burden and associated body condition in feral horses.

Susannah Gold, Charlotte E Regan, Philip D McLoughlin, John S Gilleard, Alastair J Wilson, Jocelyn Poissant

Open access · goldAbstract read
In one paragraph

Article in International journal for parasitology. Parasites and wildlife, 2019. 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
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

9 citing papers in PubMed, 21 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Susannah GoldCollege of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, TR10 9FE, UK.
Charlotte E ReganDepartment of Biology, University of Saskatchewan, 112 Science Place, Saskatoon, SK, S7N 5E2, Canada.
Philip D McLoughlinDepartment of Biology, University of Saskatchewan, 112 Science Place, Saskatoon, SK, S7N 5E2, Canada.
John S GilleardDepartment of Comparative Biology and Experimental Medicine, University of Calgary, 3280 Hospital Drive, Calgary, AB, T2N 4Z6, Canada.
Alastair J WilsonCollege of Life and Environmental Sciences, University of Exeter, Cornwall Campus, Penryn, TR10 9FE, UK.
Jocelyn PoissantDepartment of Ecosystem and Public Health, University of Calgary, 3280 Hospital Drive, Calgary, AB, T2N 4Z6, Canada.
University of Calgary · CAUniversity of Exeter · GBUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Variability in host resistance or tolerance to parasites is nearly ubiquitous, and is of key significance in understanding the evolutionary processes shaping host-parasite interactions. While ample research has been conducted on the genetics of parasite burden in livestock, relatively little has been done in free-living populations. Here, we investigate the sources of (co)variation in strongyle nematode faecal egg count (FEC) and body condition in Sable Island horses, a feral population in which parasite burden has previously been shown to negatively correlate with body condition. We used the quantitative genetic "animal model" to understand the sources of (co)variation in these traits, and tested for impacts of an important spatial gradient in habitat quality on the parameter estimates. Although FEC is significantly heritable (

Indexed as

Animal modelGenetic correlationHeritabilityParasitesSable islandSpatial effects

Identifiers

PMID31011533
PMCPMC6462499
OpenAlexW2934524993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.