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LX3 improves adult microbiota recovery post-OTC exposure. a Principle component analysis (PCA) plot of the honey bee microbiota from adult and larval samples before (Pre-supp) and after (Post-supp) the supplementation period. Sequence variants were collapsed at species-level identification, with clr-transformed Aitchison distances used as input values for PCA analysis. Distance between individual samples (points) represent the difference in microbiota composition between samples, with 40.8% of variance explained by the first two principle components shown. Strength of association for taxa are depicted by length of corresponding arrows. b, c ALDEx2 effect plots comparing differences in relative abundance of SVs between groups (ΔA) plotted against the variance, or within-group difference, in relative abundance for each SV (Δw). Low variance SVs that cluster tightly together in adult microbiota samples largely represent well-established core microbiota members (see Supplementary Data 1 for list of corresponding SVs). d Alpha diversity determined by Shannon’s H Index (accounting for abundance and evenness), e Beta diversity measured via Aitchison’s distance (representing within-group microbiota differences), f species dominance (or unevenness) measured via Strong’s Dw Index, and g species richness as determined using the abundance-based coverage estimator (ACE) metric in QIIME2. h, i Differential abundance analysis on adult gut samples between the relative abundance of all core cluster SVs grouped together compared to all noncore SVs grouped together. Data represents median (line in box), IQR(box), and minimum/maximum (whiskers) of clr-transformed relative abundances with statistical comparisons performed by Kruskal–Wallis test with Benjamini–Hochberg multiple comparisons. *P < 0.05, **P < 0.01, ns not significant.

LX3 improves adult microbiota recovery post-OTC exposure. a Principle component analysis (PCA) plot of the honey bee microbiota from adult and larval samples before (Pre-supp) and after (Post-supp) the supplementation period. Sequence variants were collapsed at species-level identification, with clr-transformed Aitchison distances used as input values for PCA analysis. Distance between individual samples (points) represent the difference in microbiota composition between samples, with 40.8% of variance explained by the first two principle components shown. Strength of association for taxa are depicted by length of corresponding arrows. b, c ALDEx2 effect plots comparing differences in relative abundance of SVs between groups (ΔA) plotted against the variance, or within-group difference, in relative abundance for each SV (Δw). Low variance SVs that cluster tightly together in adult microbiota samples largely represent well-established core microbiota members (see Supplementary Data 1 for list of corresponding SVs). d Alpha diversity determined by Shannon’s H Index (accounting for abundance and evenness), e Beta diversity measured via Aitchison’s distance (representing within-group microbiota differences), f species dominance (or unevenness) measured via Strong’s Dw Index, and g species richness as determined using the abundance-based coverage estimator (ACE) metric in QIIME2. h, i Differential abundance analysis on adult gut samples between the relative abundance of all core cluster SVs grouped together compared to all noncore SVs grouped together. Data represents median (line in box), IQR(box), and minimum/maximum (whiskers) of clr-transformed relative abundances with statistical comparisons performed by Kruskal–Wallis test with Benjamini–Hochberg multiple comparisons. *P < 0.05, **P < 0.01, ns not significant.

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Widespread antibiotic usage in apiculture contributes substantially to the global dissemination of antimicrobial resistance and has the potential to negatively influence bacterial symbionts of honey bees (Apis mellifera). Here, we show that routine antibiotic administration with oxytetracycline selectively increased tetB (efflux pump resistance gen...

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... Several animal studies and human clinical trials have demonstrated the protective effect of specific strains of probiotic Lactobacillus against intestinal diseases, including antibiotic-associated diarrhea. For example, L. acidophilus can regulate antibiotic-induced intestinal flora disturbance and diarrhea in mice and immune and microbiome dysregulation in bees [35,36]. LAB NS8 can improve the damage of antibiotics to intestinal flora and play a key role in maintaining the balance of intestinal flora [37]. ...
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Against a backdrop of declining bee colony health, this study aims to gain a better understanding of the impact of an antimicrobial (Fumidil B®, Can-Vet Animal Health Supplies Ltd., Guelph, ON, Canada) and a probiotic (Bactocell®, Lallemand Inc., Montreal, QC, Canada) on bees’ microbiota and the health of their colonies after wintering. Therefore, colonies were orally exposed to these products and their combination before wintering in an environmental room. The results show that the probiotic significantly improved the strength of the colonies in spring by increasing the total number of bees and the number of capped brood cells. This improvement translated into a more resilient structure of the gut microbiota, highlighted by a more connected network of interactions between bacteria. Contrastingly, the antimicrobial treatment led to a breakdown in this network and a significant increase in negative interactions, both being hallmarks of microbiota dysbiosis. Although this treatment did not translate into a measurable colony strength reduction, it may impact the health of individual bees. The combination of these products restored the microbiota close to control, but with mixed results for colony performance. More tests will be needed to validate these results, but the probiotic Bactocell® could be administrated as a food supplement before wintering to improve colony recovery in spring.