Evidence map›Paper›PMID 26273565›Full record

ArticleCurrent opinion in insect science2015

The power and promise of applying genomics to honey bee health.

Christina M Grozinger, Gene E Robinson

Abstract read
In one paragraph

Article in Current opinion in insect science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Recent Advances in the Biocontrol of Nosemosis in Honey Bees (Journal of fungi (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Review
  7. Nosema Disease of European Honey Bees.Journal of fungi (Basel, Switzerland) · 2021
    Review
  8. The Herbal Supplements NOZEMAT HERBPathogens (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Building a new research framework for social evolution: intralocus caste antagonism.Biological reviews of the Cambridge Philosophical Society · 2018
    Review
  14. Article
  15. Genomes of the Hymenoptera.Current opinion in insect science · 2018
    Review
  16. Article
  17. Article
  18. 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

2 authors.

Christina M GrozingerDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, PA 16803.
Gene E RobinsonDepartment of Entomology, Neuroscience Program, Institute for Genomic Biology, University of Illinois, Urbana-Champaign, 61801.

Funding

Johnny Bee Good: Bees as Models to Study the Hijacking of the Reward SystemDP1GM105380 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ROBINSON, GENE E · 2012 to 2013
$1.5M
NIGMS NIH HHS DP1 GM105380
6 · The paper itself

Abstract

New genomic tools and resources are now being used to both understand honey bee health and develop tools to better manage it. Here, we describe the use of genomic approaches to identify and characterize bee parasites and pathogens, examine interactions among these parasites and pathogens, between them and their bee hosts, and to identify genetic markers for improved breeding of more resilient bee stocks. We also discuss several new genomic techniques that can be used to more efficiently study, monitor and improve bee health. In the case of using RNAi-based technologies to mitigate diseases in bee populations, we highlight advantages, disadvantages and strategies to reduce risk. The increased use of genomic analytical tools and manipulative technologies has already led to significant advances, and holds great promise for improvements in the health of honey bees and other critical pollinator species.

Identifiers

PMID26273565
PMCPMC4528376

What OpenQuestion holds

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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.