Evidence map›Paper›PMID 27648243›Full record

ArticleEcology and evolution2016

Adaptive and neutral markers both show continent-wide population structure of mountain pine beetle (Dendroctonus ponderosae).

Philip D Batista, Jasmine K Janes, Celia K Boone, Brent W Murray, Felix A H Sperling

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.6field-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

19 citing papers in PubMed, 37 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

5 authors at 3 institutions in 3 countries.

Philip D BatistaDepartment of Biological Sciences University of Alberta Edmonton Alberta T6G2E9 Canada.
Jasmine K JanesDepartment of Biological Sciences University of Alberta Edmonton Alberta T6G2E9 Canada; School of Environmental and Rural Science University of New England Armidale New South Wales 2351 Australia.ORCID 0000-0002-4511-2087
Celia K BooneBiological Control and Spatial Ecology Lab (LUBIES) Université Libre de Bruxelles Brussels Belgium; Natural Resources and Environmental Studies Institute University of Northern British Columbia Prince George British Columbia V2N 4Z9 Canada.
Brent W MurrayNatural Resources and Environmental Studies Institute University of Northern British Columbia Prince George British Columbia V2N 4Z9 Canada.
Felix A H SperlingDepartment of Biological Sciences University of Alberta Edmonton Alberta T6G2E9 Canada.
University of Alberta · CAUniversité Libre de Bruxelles · BEUniversity of Northern British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessments of population genetic structure and demographic history have traditionally been based on neutral markers while explicitly excluding adaptive markers. In this study, we compared the utility of putatively adaptive and neutral single-nucleotide polymorphisms (SNPs) for inferring mountain pine beetle population structure across its geographic range. Both adaptive and neutral SNPs, and their combination, allowed range-wide structure to be distinguished and delimited a population that has recently undergone range expansion across northern British Columbia and Alberta. Using an equal number of both adaptive and neutral SNPs revealed that adaptive SNPs resulted in a stronger correlation between sampled populations and inferred clustering. Our results suggest that adaptive SNPs should not be excluded prior to analysis from neutral SNPs as a combination of both marker sets resulted in better resolution of genetic differentiation between populations than either marker set alone. These results demonstrate the utility of adaptive loci for resolving population genetic structure in a nonmodel organism.

Indexed as

Adaptive selectionDendroctonus ponderosaemountain pine beetlepopulation genetic structure

Identifiers

PMID27648243
PMCPMC5016649
OpenAlexW2517788707

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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.