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Record W4406112034 · doi:10.1093/jambio/lxae317

Supporting wild bee development with a bacterial symbiont

2025· article· en· W4406112034 on OpenAlexafffund
Phuong Nam Nguyen, Sandra Rehan

Bibliographic record

VenueJournal of Applied Microbiology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsBiologyMicrobiologyBacteriaSymbiosisZoologyHoney beeEcologyGenetics

Abstract

fetched live from OpenAlex

AIMS: Wild bees foster diverse microbiota that may determine survival success of developing larvae. Here, we compare survivorship and microbial communities of Ceratina calcarata small carpenter bees reared from eggs across three treatments: maternally collected control provisions with diverse microbiota, sterile provisions, and probiotic provisions supplemented with a beneficial symbiont, Apilactobacillus kunkeei. METHODS AND RESULTS: Survival probability and adult masses differed across treatments, with the probiotic treatment resulting in highest survivorship and masses. By comparing the bacterial (16S rRNA), fungal (ITS), and plant (rbcL) communities of adults reared across treatments, we characterized distinct microbial communities across each that suggest the microbiome may be sensitive to microbial succession and competition. CONCLUSIONS: We describe positive implications for the usage of probiotics on wild bees. Furthermore, the sensitivity of bee microbiota's relationships to their host, floral resources, and the environment suggests that holistic approaches best encapsulate the complex network of interactions between bees and their microbes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.244
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2025
Admission routes2
Has abstractyes

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