Evidence map›Paper›PMID 34824789›Full record

ArticleEcology and evolution2021

Comparative genomics suggests local adaptations in the invasive small hive beetle.

Yuanzhen Liu, Jan Henkel, Alexis Beaurepaire, Jay D Evans, Peter Neumann, Qiang Huang

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Genomic investigations of successful invasions: the picture emerging from recent studies.Biological reviews of the Cambridge Philosophical Society · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Tracking Adaptive Pathways of Invasive Insects: Novel Insight from Genomics.International journal of molecular sciences · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
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 3 countries.

Yuanzhen LiuVetsuisse Faculty Institute of Bee Health University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0003-0212-0674
Jan HenkelVetsuisse Faculty Institute of Genetics University of Bern Bern Switzerland.
Alexis BeaurepaireVetsuisse Faculty Institute of Bee Health University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0002-9832-5609
Jay D EvansUSDA-ARS Beltsville Bee Research Laboratory Beltsville Maryland USA.ORCID https://orcid.org/0000-0002-0036-4651
Peter NeumannVetsuisse Faculty Institute of Bee Health University of Bern Bern Switzerland.ORCID https://orcid.org/0000-0001-5163-5215
Qiang HuangHoneybee Research Institute Jiangxi Agricultural University Nanchang China.ORCID https://orcid.org/0000-0001-5528-5099
University of Bern · CHBeltsville Human Nutrition Research Center · USJiangxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive species are a major driver of ecological and environmental changes that affect human health, food security, and natural biodiversity. The success and impact of biological invasions depend on adaptations to novel abiotic and biotic selective pressures. However, the molecular mechanisms underlying adaptations in invasive parasitic species are inadequately understood. Small hive beetles,

Indexed as

invasive speciesmolecular evolutionnatural selection

Identifiers

PMID34824789
PMCPMC8601931
OpenAlexW3208938049

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.