Evidence map›Paper›PMID 32099102›Full record

ReviewNature reviews. Genetics2020

Improving bee health through genomics.

Christina M Grozinger, Amro Zayed

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  6. The ghost ofProceedings of the National Academy of Sciences of the United States of America · 2025
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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

2 authors.

Christina M GrozingerDepartment of Entomology, Center for Pollinator Research, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA. cmgrozinger@psu.edu.ORCID http://orcid.org/0000-0001-5738-1201
Amro ZayedDepartment of Biology, York University, Toronto, ON, Canada. zayed@yorku.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Declines in bee populations across the world threaten food security and ecosystem function. It is currently not possible to routinely predict which specific stressors lead to declines in different populations or contexts, hindering efforts to improve bee health. Genomics has the potential to dramatically improve our ability to identify, monitor and predict the effects of stressors, as well as to mitigate their impacts through the use of marker-assisted selection, RNA interference and potentially gene editing. Here we discuss the most compelling recent applications of genomics to investigate the mechanisms underpinning bee population declines and to improve the health of both wild and managed bee populations.

Indexed as

GenomicsAnimalsBeesGene EditingRNA InterferenceStress, Physiological

Identifiers

What OpenQuestion holds

Textmetadata
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.