Evidence map›Paper›PMID 29067534›Full record

ArticleEcotoxicology (London, England)2018

Mitigating effects of pollen during paraquat exposure on gene expression and pathogen prevalence in Apis mellifera L.

Igor Medici de Mattos, Ademilson E E Soares, David R Tarpy

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Article in Ecotoxicology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Igor Medici de MattosDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14.049-900, Brazil. igor.medicide@mail.huji.ac.il.
Ademilson E E SoaresDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14.049-900, Brazil.
David R TarpyDepartment of Entomology & Plant Pathology, College of Agriculture and Life Science, North Carolina State University, Raleigh, NC, 27695, USA.

Funding

USDA-APHIS 14-8130-0360-CA
6 · The paper itself

Abstract

Honey bee (Apis mellifera L.) populations have been experiencing notable mortality in Europe and North America. No single cause has been identified for these dramatic losses, but rather multiple interacting factors are likely responsible (such as pesticides, malnutrition, habitat loss, and pathogens). Paraquat is one of the most widely used non-selective herbicides, especially in developing countries. This herbicide is considered slightly toxic to honey bees, despite being reported as a highly effective inducer of oxidative stress in a wide range of living systems. Here, we test the effects of paraquat on the expression of detoxification and antioxidant-related genes, as well as on the dynamics of pathogen titers. Moreover, we tested the effects of pollen as mitigating factor to paraquat exposure. Our results show significant changes in the expression of several antioxidant-related and detoxification-related genes in the presence of paraquat, as well as an increase of pathogens titers. Finally, we demonstrate a mitigating effect of pollen through the up-regulation of specific genes and improvement of survival of bees exposed to paraquat. The presence of pollen in the diet was also correlated with a reduced prevalence of Nosema and viral pathogens. We discuss the importance of honey bees' nutrition, especially the availability of pollen, on colony losses chronically reported in the USA and Europe.

Indexed as

AnimalsAntioxidantsBeesGene ExpressionHerbicidesNosemaParaquatPollenAntioxidantsHerbicidesParaquatApis melliferaBee breadOxidative stressParaquatPollenVirus

Identifiers

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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.