Evidence map›Paper›PMID 30976312›Full record

ArticleEvolutionary applications2019

Counties not countries: Variation in host specificity among populations of an aphid parasitoid.

Keith R Hopper, Sara J Oppenheim, Kristen L Kuhn, Kathryn Lanier, Kim A Hoelmer, George E Heimpel, William G Meikle, Robert J O'Neil, David G Voegtlin, Kongming Wu and 2 more

Abstract read
In one paragraph

Article in Evolutionary applications, 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
–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

11 citing papers in PubMed.

  1. Article
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  8. Variation in Parasitoid Virulence ofInternational journal of molecular sciences · 2021
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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

12 authors.

Keith R HopperBeneficial Insect Introductions Research Unit USDA-ARS Newark Delaware.ORCID https://orcid.org/0000-0002-8197-2519
Sara J OppenheimAmerican Museum of Natural History New York New York.ORCID https://orcid.org/0000-0003-1109-3639
Kristen L KuhnBeneficial Insect Introductions Research Unit USDA-ARS Newark Delaware.
Kathryn LanierBeneficial Insect Introductions Research Unit USDA-ARS Newark Delaware.
Kim A HoelmerBeneficial Insect Introductions Research Unit USDA-ARS Newark Delaware.
George E HeimpelDepartment of Entomology University of Minnesota St. Paul Minnesota.
William G MeikleEuropean Biological Control Laboratory USDA-ARS St. Gely du Fesc CEDEX France.
Robert J O'NeilDepartment of Entomology Purdue University West Lafayette Indiana.
David G VoegtlinIllinois Natural History Survey Champaign Illinois.
Kongming WuInstitute of Plant Protection Chinese Academy of Agricultural Sciences Beijing China.
James B WoolleyDepartment of Entomology Texas A&M University College Station Texas.
John M HeratyDepartment of Entomology University of California Riverside California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parasitic wasps are among the most species-rich groups on Earth. A major cause of this diversity may be local adaptation to host species. However, little is known about variation in host specificity among populations within parasitoid species. Not only is such knowledge important for understanding host-driven speciation, but because parasitoids often control pest insects and narrow host ranges are critical for the safety of biological control introductions, understanding variation in specificity and how it arises are crucial applications in evolutionary biology. Here, we report experiments on variation in host specificity among 16 populations of an aphid parasitoid,

Indexed as

aphidclinalevolutionFSTgenetic differentiationlocal adaptationmosaicparasitoid

Identifiers

PMID30976312
PMCPMC6439487

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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.