Evidence map›Paper›PMID 37153020›Full record

ArticleEcology and evolution2023

Empirical landscape genetic comparison of single nucleotide polymorphisms and microsatellites in three arid-zone mammals with high dispersal capacity.

Ebony D Skey, Kym M Ottewell, Peter B Spencer, Robyn E Shaw

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. 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

4 authors at 2 institutions in 1 country.

Ebony D SkeyEnvironmental & Conservation Sciences Murdoch University Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-9640-1276
Kym M OttewellBiodiversity and Conservation Science Department of Biodiversity, Conservation and Attractions Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-4273-3224
Peter B SpencerEnvironmental & Conservation Sciences Murdoch University Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-4938-2615
Robyn E ShawEnvironmental & Conservation Sciences Murdoch University Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-7899-1743
Murdoch University · AUDepartment of Biodiversity, Conservation and Attractions · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landscape genetics is increasingly transitioning away from microsatellites, with single nucleotide polymorphisms (SNPs) providing increased resolution for detecting patterns of spatial-genetic structure. This is particularly pertinent for research in arid-zone mammals due to challenges associated with unique life history traits, such as boom-bust population dynamics and long-distance dispersal capacities. Here, we provide a case study comparing SNPs versus microsatellites for testing three explicit landscape genetic hypotheses (isolation-by-distance, isolation-by-barrier, and isolation-by-resistance) in a suite of small, arid-zone mammals in the Pilbara region of Western Australia. Using clustering algorithms, Mantel tests, and linear mixed effects models, we compare functional connectivity between genetic marker types and across species, including one marsupial,

Indexed as

arid zoneisolation‐by‐resistancelandscape geneticsmicrosatellitessingle nucleotide polymorphismssmall mammals

Identifiers

PMID37153020
PMCPMC10154367
OpenAlexW4367693591

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.