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Metabolomics-based biomarker discovery for bee health monitoring : a proof of concept study concerning nutritional stress in Bombus terrestris

Luoluo Wang (UGent) , Ivan Meeus (UGent) , Caroline Rombouts (UGent) , Lieven Van Meulebroek (UGent) , Lynn Vanhaecke (UGent) and Guy Smagghe (UGent)
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Abstract
Bee pollinators are exposed to multiple natural and anthropogenic stressors. Understanding the effects of a single stressor in the complex environmental context of antagonistic/synergistic interactions is critical to pollinator monitoring and may serve as early warning system before a pollination crisis. This study aimed to methodically improve the diagnosis of bee stressors using a simultaneous untargeted and targeted metabolomics-based approach. Analysis of 84 Bombus terrestris hemolymph samples found 8 metabolites retained as potential biomarkers that showed excellent discrimination for nutritional stress. In parallel, 8 significantly altered metabolites, as revealed by targeted profiling, were also assigned as candidate biomarkers. Furthermore, machine learning algorithms were applied to the above-described two biomarker sets, whereby the untargeted eight components showed the best classification performance with sensitivity and specificity up to 99% and 100%, respectively. Based on pathway and biochemistry analysis, we propose that gluconeogenesis contributed significantly to blood sugar stability in bumblebees maintained on a low carbohydrate diet. Taken together, this study demonstrates that metabolomics-based biomarker discovery holds promising potential for improving bee health monitoring and to identify stressor related to energy intake and other environmental stressors.
Keywords
APIS-MELLIFERA-CARNICA, HONEY-BEE, HEMOLYMPH, VULNERABILITY, CONSERVATION, PERFORMANCE, METABOLISM, DEPENDENCE, INSIGHTS, PROVIDES

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MLA
Wang, Luoluo et al. “Metabolomics-based Biomarker Discovery for Bee Health Monitoring : a Proof of Concept Study Concerning Nutritional Stress in Bombus Terrestris.” SCIENTIFIC REPORTS 9 (2019): n. pag. Print.
APA
Wang, Luoluo, Meeus, I., Rombouts, C., Van Meulebroek, L., Vanhaecke, L., & Smagghe, G. (2019). Metabolomics-based biomarker discovery for bee health monitoring : a proof of concept study concerning nutritional stress in Bombus terrestris. SCIENTIFIC REPORTS, 9.
Chicago author-date
Wang, Luoluo, Ivan Meeus, Caroline Rombouts, Lieven Van Meulebroek, Lynn Vanhaecke, and Guy Smagghe. 2019. “Metabolomics-based Biomarker Discovery for Bee Health Monitoring : a Proof of Concept Study Concerning Nutritional Stress in Bombus Terrestris.” Scientific Reports 9.
Chicago author-date (all authors)
Wang, Luoluo, Ivan Meeus, Caroline Rombouts, Lieven Van Meulebroek, Lynn Vanhaecke, and Guy Smagghe. 2019. “Metabolomics-based Biomarker Discovery for Bee Health Monitoring : a Proof of Concept Study Concerning Nutritional Stress in Bombus Terrestris.” Scientific Reports 9.
Vancouver
1.
Wang L, Meeus I, Rombouts C, Van Meulebroek L, Vanhaecke L, Smagghe G. Metabolomics-based biomarker discovery for bee health monitoring : a proof of concept study concerning nutritional stress in Bombus terrestris. SCIENTIFIC REPORTS. 2019;9.
IEEE
[1]
L. Wang, I. Meeus, C. Rombouts, L. Van Meulebroek, L. Vanhaecke, and G. Smagghe, “Metabolomics-based biomarker discovery for bee health monitoring : a proof of concept study concerning nutritional stress in Bombus terrestris,” SCIENTIFIC REPORTS, vol. 9, 2019.
@article{8625642,
  abstract     = {Bee pollinators are exposed to multiple natural and anthropogenic stressors. Understanding the effects of a single stressor in the complex environmental context of antagonistic/synergistic interactions is critical to pollinator monitoring and may serve as early warning system before a pollination crisis. This study aimed to methodically improve the diagnosis of bee stressors using a simultaneous untargeted and targeted metabolomics-based approach. Analysis of 84 Bombus terrestris hemolymph samples found 8 metabolites retained as potential biomarkers that showed excellent discrimination for nutritional stress. In parallel, 8 significantly altered metabolites, as revealed by targeted profiling, were also assigned as candidate biomarkers. Furthermore, machine learning algorithms were applied to the above-described two biomarker sets, whereby the untargeted eight components showed the best classification performance with sensitivity and specificity up to 99% and 100%, respectively. Based on pathway and biochemistry analysis, we propose that gluconeogenesis contributed significantly to blood sugar stability in bumblebees maintained on a low carbohydrate diet. Taken together, this study demonstrates that metabolomics-based biomarker discovery holds promising potential for improving bee health monitoring and to identify stressor related to energy intake and other environmental stressors.},
  articleno    = {11423},
  author       = {Wang, Luoluo and Meeus, Ivan and Rombouts, Caroline and Van Meulebroek, Lieven and Vanhaecke, Lynn and Smagghe, Guy},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  keywords     = {APIS-MELLIFERA-CARNICA,HONEY-BEE,HEMOLYMPH,VULNERABILITY,CONSERVATION,PERFORMANCE,METABOLISM,DEPENDENCE,INSIGHTS,PROVIDES},
  language     = {eng},
  pages        = {11},
  title        = {Metabolomics-based biomarker discovery for bee health monitoring : a proof of concept study concerning nutritional stress in Bombus terrestris},
  url          = {http://dx.doi.org/10.1038/s41598-019-47896-w},
  volume       = {9},
  year         = {2019},
}

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