Evidence map›Paper›PMID 30543711›Full record

ArticlePloS one2018

Measuring biological age to assess colony demographics in honeybees.

Cedric Alaux, Samuel Soubeyrand, Alberto Prado, Mathilde Peruzzi, Alban Maisonnasse, Julien Vallon, Julie Hernandez, Pascal Jourdan, Yves Le Conte

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Improving bee health through genomics.Nature reviews. Genetics · 2020
    Review
  9. 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

9 authors.

Cedric AlauxINRA, Abeilles et Environnement, Avignon, France.ORCID 0000-0002-3045-2599
Samuel SoubeyrandINRA, BioSP, Avignon, France.
Alberto PradoINRA, Abeilles et Environnement, Avignon, France.
Mathilde PeruzziINRA, Abeilles et Environnement, Avignon, France.
Alban MaisonnasseUMT PrADE, Avignon, France.
Julien VallonUMT PrADE, Avignon, France.
Julie HernandezUMT PrADE, Avignon, France.
Pascal JourdanUMT PrADE, Avignon, France.
Yves Le ConteINRA, Abeilles et Environnement, Avignon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honeybee colonies are increasingly exposed to environmental stress factors, which can lead to their decline or failure. However, there are major gaps in stressor risk assessment due to the difficulty of assessing the honeybee colony state and detecting abnormal events. Since stress factors usually induce a demographic disturbance in the colony (e.g. loss of foragers, early transition from nurse to forager state), we suggest that disturbances could be revealed indirectly by measuring the age- and task-related physiological state of bees, which can be referred to as biological age (an indicator of the changes in physiological state that occur throughout an individual lifespan). We therefore estimated the biological age of bees from the relationship between age and biomarkers of task specialization (vitellogenin and the adipokinetic hormone receptor). This relationship was determined from a calibrated sample set of known-age bees and mathematically modelled for biological age prediction. Then, we determined throughout the foraging season the evolution of the biological age of bees from colonies with low (conventional apiary) or high Varroa destructor infestation rates (organic apiary). We found that the biological age of bees from the conventional apiary progressively decreased from the spring (17 days) to the fall (6 days). However, in colonies from the organic apiary, the population aged from spring (13 days) to summer (18.5 days) and then rejuvenated in the fall (13 days) after Varroa treatment. Biological age was positively correlated with the amount of brood (open and closed cells) in the apiary with low Varroa pressure, and negatively correlated with Varroa infestation level in the apiary with high Varroa pressure. Altogether, these results show that the estimation of biological age is a useful and effective method for assessing colony demographic state and likely detrimental effects of stress factors.

Indexed as

MitesAgingAlgorithmsAnimalsBeekeepingBeesGene ExpressionInsect ProteinsModels, BiologicalSeasonsStress, PhysiologicalVarroidaeVitellogeninsInsect ProteinsVitellogenins

Identifiers

PMID30543711
PMCPMC6292630

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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.