Evidence map›Paper›PMID 30680122›Full record

ArticleEcology and evolution2019

Standing geographic variation in eclosion time and the genomics of host race formation in

Meredith M Doellman, Scott P Egan, Gregory J Ragland, Peter J Meyers, Glen R Hood, Thomas H Q Powell, Peter Lazorchak, Daniel A Hahn, Stewart H Berlocher, Patrik Nosil and 1 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 42 citations in OpenAlex.

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  7. Can the genomics of ecological speciation be predicted across the divergence continuum from host races to species? A case study inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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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

11 authors at 4 institutions in 2 countries.

Meredith M DoellmanDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.ORCID 0000-0002-0903-6590
Scott P EganDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Gregory J RaglandDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Peter J MeyersDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Glen R HoodDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Thomas H Q PowellDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Peter LazorchakDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
Daniel A HahnDepartment of Entomology and Nematology University of Florida Gainesville Florida.
Stewart H BerlocherDepartment of Entomology University of Illinois at Urbana-Champaign Urbana Illinois.
Patrik NosilDepartment of Animal and Plant Sciences University of Sheffield Sheffield UK.
Jeffrey L FederDepartment of Biological Sciences University of Notre Dame Notre Dame Indiana.
University of Notre Dame · USUniversity of Florida · USUniversity of Illinois Urbana-Champaign · USUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxa harboring high levels of standing variation may be more likely to adapt to rapid environmental shifts and experience ecological speciation. Here, we characterize geographic and host-related differentiation for 10,241 single nucleotide polymorphisms in

Indexed as

clinal variationeclosion timeecological speciationhost racesstanding variation

Identifiers

PMID30680122
PMCPMC6342182
OpenAlexW2905270126

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.