Evidence map›Paper›PMID 37098635›Full record

ArticleEnvironmental microbiome2023

The gut microbiome of solitary bees is mainly affected by pathogen assemblage and partially by land use.

Gregorio Fernandez De Landa, Daniele Alberoni, Loredana Baffoni, Mateo Fernandez De Landa, Pablo Damian Revainera, Leonardo Pablo Porrini, Constanza Brasesco, Silvina Quintana, Francisco Zumpano, Martìn Javier Eguaras and 2 more

Abstract read
In one paragraph

Article in Environmental microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  12. Frontiers in insect science · 2025
    Article
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  15. Article
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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

12 authors.

Gregorio Fernandez De LandaFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Daniele AlberoniDipartimento di Scienze e Tecnologie Agro-Alimentari, University of Bologna, Viale Fanin 44, 40127, Bologna, Italy. daniele.alberoni@unibo.it.
Loredana BaffoniDipartimento di Scienze e Tecnologie Agro-Alimentari, University of Bologna, Viale Fanin 44, 40127, Bologna, Italy.
Mateo Fernandez De LandaFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Pablo Damian RevaineraFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Leonardo Pablo PorriniFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Constanza BrasescoFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Silvina QuintanaFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Francisco ZumpanoFacultad de Ciencias Exactas y Naturales, Instituto de Investigaciones Marinas y Costeras (IIMyC), Funes 3350, Universidad Nacional de Mar del Plata-CONICET, 7600, Mar del Plata, Argentina.
Martìn Javier EguarasFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Matias Daniel MaggiFacultad de Ciencias Exactas y Naturales, Centro de Asociación Simple CIC PBA, Instituto de Investigaciones en Producción Sanidad y Ambiente (IIPROSAM), Universidad Nacional de Mar del Plata, Centro Científico Tecnológico Mar del Plata, CONICET, Mar del Plata, Argentina.
Diana Di GioiaDipartimento di Scienze e Tecnologie Agro-Alimentari, University of Bologna, Viale Fanin 44, 40127, Bologna, Italy.

Funding

H2020 Marie Skłodowska-Curie Actions 777760
6 · The paper itself

Abstract

Pollinators, including solitary bees, are drastically declining worldwide. Among the factors contributing to this decline, bee pathogens and different land uses are of relevance. The link between the gut microbiome composition and host health has been recently studied for social pollinators (e.g. honeybees), whereas the information related to solitary bees is sparse. This work aimed at the characterization of the gut microbiome of the solitary bees Xylocopa augusti, Eucera fervens and Lasioglossum and attempted to correlate the gut microbial composition with the presence and load of different pathogens and land uses. Solitary bees were sampled in different sites (i.e. a farm, a natural reserve, and an urban plant nursery) showing different land uses. DNA was extracted from the gut, 16S rRNA gene amplified and sequenced. Eight pathogens, known for spillover from managed bees to wild ones, were quantified with qPCR. The results showed that the core microbiome profile of the three solitary bees significantly varied in the different species. Pseudomonas was found as the major core taxa in all solitary bees analyzed, whereas Lactobacillus, Spiroplasma and Sodalis were the second most abundant taxa in X. augusti, E. fervens and Lasioglossum, respectively. The main pathogens detected with qPCR were Nosema ceranae, Nosema bombi and Crithidia bombi, although differently abundant in the different bee species and sampling sites. Most microbial taxa did not show any correlation with the land use, apart from Snodgrassella and Nocardioides, showing higher abundances on less anthropized sites. Conversely, the pathogens species and load strongly affected the gut microbial composition, with Bifidobacterium, Apibacter, Serratia, Snodgrassella and Sodalis abundance that positively or negatively correlated with the detected pathogens load. Therefore, pathogens presence and load appear to be the main factor shaping the gut microbiome of solitary bees in Argentina.

Indexed as

Crithidia bombiEucera fervensGut microbiomeHalictidaeNosema bombiNosema ceranaeXylocopa augusti

Identifiers

PMID37098635
PMCPMC10131457

What OpenQuestion holds

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LicenceCC BY
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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.