Summary of Study ST003552

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002188. The data can be accessed directly via it's Project DOI: 10.21228/M8SV5J This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003552
Study TitleInvestigation of age-dependent changes in the gut of honeybee workers using targeted metabolomics for SCFA determination
Study SummaryTo determine changes in the metabolic activity of the gut microbiota, we measured the concentrations of seven short-chain fatty acids (SCFA) and lactate. All SCFA showed low concentrations in newly emerged workers. We found that acetate, propionate and butyrate are the main SCFA in the honeybee gut and peak in 5-day old and in-hive workers. Lactate showed an inverse trend with highest concentrations in 1-day old workers and a significant decrease on all subsequent days (Kruskal Wallis test, p <0.05).
Institute
Helmholtz Centre for Environmental Research
DepartmentMolecular Systems Biology
Last NameEngelmann
First NameBeatrice
AddressPermoserstraße 15, Leipzipg, Saxony, 03418, Germany
Emailbeatrice.engelmann@ufz.de
Phone004934160251099
Submit Date2024-10-21
Raw Data AvailableYes
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2024-11-27
Release Version1
Beatrice Engelmann Beatrice Engelmann
https://dx.doi.org/10.21228/M8SV5J
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002188
Project DOI:doi: 10.21228/M8SV5J
Project Title:Comprehension of the age-dependent gut and brain interaction of honeybee workers by integration of multi omics approaches
Project Summary:In honeybees, division of labour is a key feature, with age-related behavioural transitions being closely associated with molecular changes in the brain, gut, and microbiota. In this study, to investigate these molecular changes and thus better understand their contribution to behavioural responses and modulation, we analysed the global metabolomic shifts in honeybee workers and their microbiota throughout their lives. Overall, our findings provide new insights toward developing potential biomarkers for evaluation of different functional changes related to various environmental stressors.
Institute:Helmholtz Centre for Environmental Research
Department:Molecular Systems Biology
Last Name:Engelmann
First Name:Beatrice
Address:Permoserstraße 15, Leipzipg, Saxony, 03418, Germany
Email:beatrice.engelmann@ufz.de
Phone:004934160251099

Subject:

Subject ID:SU003681
Subject Type:Insect
Subject Species:Apis mellifera
Taxonomy ID:7460
Species Group:Insects

Factors:

Subject type: Insect; Subject species: Apis mellifera (Factor headings shown in green)

mb_sample_id local_sample_id life stage age of workers in days Sample source
SA387919H2_D1_4_dilutedestablishment 1 gut
SA387920H2_D1_4establishment 1 gut
SA387921H2_D1_5establishment 1 gut
SA387922H3_D1_1establishment 1 gut
SA387923H3_D1_2establishment 1 gut
SA387924H3_D1_3establishment 1 gut
SA387925H3_D1_4establishment 1 gut
SA387926H3_D1_5establishment 1 gut
SA387927H2_D1_3_dilutedestablishment 1 gut
SA387928H2_D1_1establishment 1 gut
SA387929H2_D1_2_dilutedestablishment 1 gut
SA387930H2_D1_1_dilutedestablishment 1 gut
SA387931H1_D1_5_dilutedestablishment 1 gut
SA387932H1_D1_4_dilutedestablishment 1 gut
SA387933H1_D1_3_dilutedestablishment 1 gut
SA387934H1_D1_2_dilutedestablishment 1 gut
SA387935H1_D1_1_dilutedestablishment 1 gut
SA387936H2_D1_2establishment 1 gut
SA387937H2_D1_3establishment 1 gut
SA387938H1_D1_5establishment 1 gut
SA387939H3_D1_1_dilutedestablishment 1 gut
SA387940H1_D1_4establishment 1 gut
SA387941H3_D1_5_dilutedestablishment 1 gut
SA387942H3_D1_4_dilutedestablishment 1 gut
SA387943H3_D1_3_dilutedestablishment 1 gut
SA387944H3_D1_2_dilutedestablishment 1 gut
SA387945H2_D1_5_dilutedestablishment 1 gut
SA387946H1_D1_1establishment 1 gut
SA387947H1_D1_2establishment 1 gut
SA387948H1_D1_3establishment 1 gut
SA387949H2_D3_2_dilutedestablishment 3 gut
SA387950H3_D3_4_dilutedestablishment 3 gut
SA387951H3_D3_3_dilutedestablishment 3 gut
SA387952H3_D3_2_dilutedestablishment 3 gut
SA387953H3_D3_1_dilutedestablishment 3 gut
SA387954H2_D3_5_dilutedestablishment 3 gut
SA387955H1_D3_1_dilutedestablishment 3 gut
SA387956H2_D3_1_dilutedestablishment 3 gut
SA387957H1_D3_5_dilutedestablishment 3 gut
SA387958H1_D3_4_dilutedestablishment 3 gut
SA387959H1_D3_3_dilutedestablishment 3 gut
SA387960H1_D3_2_dilutedestablishment 3 gut
SA387961H2_D3_4_dilutedestablishment 3 gut
SA387962H3_D3_5_dilutedestablishment 3 gut
SA387963H2_D3_3_dilutedestablishment 3 gut
SA387964H3_D3_2establishment 3 gut
SA387965H2_D3_5establishment 3 gut
SA387966H1_D3_1establishment 3 gut
SA387967H1_D3_2establishment 3 gut
SA387968H1_D3_3establishment 3 gut
SA387969H1_D3_4establishment 3 gut
SA387970H1_D3_5establishment 3 gut
SA387971H2_D3_1establishment 3 gut
SA387972H2_D3_2establishment 3 gut
SA387973H3_D3_5establishment 3 gut
SA387974H3_D3_4establishment 3 gut
SA387975H3_D3_3establishment 3 gut
SA387976H2_D3_3establishment 3 gut
SA387977H2_D3_4establishment 3 gut
SA387978H3_D3_1establishment 3 gut
SA387979H1_D5_2establishment 5 gut
SA387980H3_D5_1_dilutedestablishment 5 gut
SA387981H1_D5_3establishment 5 gut
SA387982H1_D5_1_dilutedestablishment 5 gut
SA387983H1_D5_2_dilutedestablishment 5 gut
SA387984H1_D5_3_dilutedestablishment 5 gut
SA387985H2_D5_4_dilutedestablishment 5 gut
SA387986H2_D5_3_dilutedestablishment 5 gut
SA387987H2_D5_2_dilutedestablishment 5 gut
SA387988H2_D5_1_dilutedestablishment 5 gut
SA387989H1_D5_4_dilutedestablishment 5 gut
SA387990H2_D5_5_dilutedestablishment 5 gut
SA387991H3_D5_2_dilutedestablishment 5 gut
SA387992H3_D5_5establishment 5 gut
SA387993H1_D5_4establishment 5 gut
SA387994H1_D5_5establishment 5 gut
SA387995H2_D5_1establishment 5 gut
SA387996H2_D5_2establishment 5 gut
SA387997H2_D5_3establishment 5 gut
SA387998H2_D5_4establishment 5 gut
SA387999H2_D5_5establishment 5 gut
SA388000H3_D5_1establishment 5 gut
SA388001H3_D5_2establishment 5 gut
SA388002H3_D5_3establishment 5 gut
SA388003H3_D5_4establishment 5 gut
SA388004H1_D5_5_dilutedestablishment 5 gut
SA388005H3_D5_3_dilutedestablishment 5 gut
SA388006H1_D5_1establishment 5 gut
SA388007H3_D5_5_dilutedestablishment 5 gut
SA388008H3_D5_4_dilutedestablishment 5 gut
SA388009H3_EF_5_dilutedexperienced_forager >12 gut
SA388010H3_EF_3_dilutedexperienced_forager >12 gut
SA388011H3_EF_2_dilutedexperienced_forager >12 gut
SA388012H3_EF_1_dilutedexperienced_forager >12 gut
SA388013H2_EF_5_dilutedexperienced_forager >12 gut
SA388014H2_EF_4_dilutedexperienced_forager >12 gut
SA388015H2_EF_3_dilutedexperienced_forager >12 gut
SA388016H1_EF_1_dilutedexperienced_forager >12 gut
SA388017H2_EF_1_dilutedexperienced_forager >12 gut
SA388018H2_EF_2_dilutedexperienced_forager >12 gut
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Collection:

Collection ID:CO003674
Collection Summary:Workers were pooled to obtain a final sample number of n = 5. The brain(s) and gut(s) from the same workers were assigned the same sample names. In total, we had 15 samples from each age group, with the exception of the foraging stages, where owing to the lack of foragers from Hive 1, we only had 11. All sampled bees were placed directly in liquid nitrogen to prevent changes in the metabolic profile. They were then decapitated in the laboratory so that the head and body of each bee were kept in a separate Eppendorf tube (Eppendorf, Germany) for later dissection. Worker guts were dissected on Petri dishes. Sternite 6 and the stinger apparatus were gently pulled using tweezers, which allowed extraction of the entire gastrointestinal tract. The stinger apparatus and venom sac were carefully excised and the honey crop was removed.
Sample Type:Bee gut

Treatment:

Treatment ID:TR003690
Treatment Summary:On the day of newly emerged workers (day 0), bees were sampled as a baseline for no or low bacterial abundance in the gut. Moreover, bees from each hive were collected on Day 1, 3 and 5 to cover the establishment phase of the gut. Samples for the in-hive worker phase, defined as workers inside the hives that have a fully developed microbiome, were taken every day from Day 7 to Day 10. For the foraging phase, we differentiated between new and experienced foragers, as these show different behaviour due to different levels of experience.Based on experience, they were either collected one to two days after onset (new foragers) or at least four days after onset (experienced foragers).

Sample Preparation:

Sampleprep ID:SP003688
Sampleprep Summary:In brief, x mg pool gut was mixed with five times the volume (in µL) of acetonitrile (ACN):Water (1:1, v/v) and homogenized using a TissueLyser II (30 Hz, 10 min; Retsch Qiagen). After centrifugation (2 min, 14000 rpm) 40 µl were used for further derivatization of short chain fatty acids. Each sample was mixed with ACN to a final concentration of 50 %. SCFAs were derivatized with 200 mM 3-nitrophenylhydrazine and 120 mM N-(3-dimethylaminopropyl)-N-ethylcarbodiimide hydrochloride in pyridine and then diluted in 10 % ACN.

Combined analysis:

Analysis ID AN005839
Analysis type MS
Chromatography type Reversed phase
Chromatography system Thermo Dionex Ultimate 3000 RS
Column Waters ACQUITY UPLC BEH C18 (100 x 2.1mm,1.7um)
MS Type ESI
MS instrument type Triple quadrupole
MS instrument name ABI Sciex 5500 QTrap
Ion Mode NEGATIVE
Units µMol

Chromatography:

Chromatography ID:CH004435
Instrument Name:Thermo Dionex Ultimate 3000 RS
Column Name:Waters ACQUITY UPLC BEH C18 (100 x 2.1mm,1.7um)
Column Temperature:40
Flow Gradient:0-2min: 15% B, 2-17min: 15-50% B, 17-17.1min: 50-100% B, 17.1-18min: 100% B, 18-18.1min: 100-15% B, 18.1-21min: 15% B
Flow Rate:0.35 mL/min
Solvent A:100% water; 0.01% formic acid
Solvent B:100% acetonitrile; 0.01% formic acid
Chromatography Type:Reversed phase

MS:

MS ID:MS005559
Analysis ID:AN005839
Instrument Name:ABI Sciex 5500 QTrap
Instrument Type:Triple quadrupole
MS Type:ESI
MS Comments:For identification and quantitation, a scheduled MRM method was used, with specific transitions for every SCFA. Data acquisition and peak integration were performed in SciexOS software (Version 3.0.0.). Calculation of concentration was done using external calibration curves and statistics were performed using the R software programme.
Ion Mode:NEGATIVE
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