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Method Article

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

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DOI:

10.3791/56393

January 22nd, 2018

In This Article

Summary

This protocol describes an experimental procedure to quantitatively and comprehensively investigate the metabolism of multiple nutrient sources. This workflow, based on a combination of isotopic tracer experiments and an analytical procedure, allows the fate of consumed nutrients and the metabolic origin of molecules synthetized by microorganisms to be determined.

Abstract

Studies in the field of microbiology rely on the implementation of a wide range of methodologies. In particular, the development of appropriate methods substantially contributes to providing extensive knowledge of the metabolism of microorganisms growing in chemically defined media containing unique nitrogen and carbon sources. In contrast, the management through metabolism of multiple nutrient sources, despite their broad presence in natural or industrial environments, remains virtually unexplored. This situation is mainly due to the lack of suitable methodologies, which hinders investigations.

We report an experimental strategy to quantitatively and comprehensively explore how metabolism operates when a nutrient is provided as a mixture of different molecules, i.e., a complex resource. Here, we describe its application for assessing the partitioning of multiple nitrogen sources through the yeast metabolic network. The workflow combines information obtained during stable isotope tracer experiments using selected 13C- or 15N-labeled substrates. It first consists of parallel and reproducible fermentations in the same medium, which includes a mixture of N-containing molecules; however,a selected nitrogen source is labeled each time. A combination of analytical procedures (HPLC, GC-MS) is implemented to assess the labeling patterns of targeted compounds and to quantify the consumption and recovery of substrates in other metabolites. An integrated analysis of the complete dataset provides an overview of the fate of consumed substrates within cells. This approach requires an accurate protocol for the collection of samples–facilitated by a robot-assisted system for online monitoring of fermentations–and the achievement of numerous time-consuming analyses. Despite these constraints, it allowed understanding, for the first time, the partitioning of multiple nitrogen sources throughout the yeast metabolic network. We elucidated the redistribution of nitrogen from more abundant sources toward other N-compounds and determined the metabolic origins of volatile molecules and proteinogenic amino acids.

Introduction

Understanding how microbial metabolism operates is a key issue for the design of efficient strategies to improve fermentation processes and modulate the production of fermentative compounds. Advances in genomics and functional genomics in these last two decades largely contributed to extending knowledge of the topology of metabolic networks in many microorganisms. Access to this information led to the development of approaches that aim for a comprehensive overview of cellular function1. These methodologies often rely on a model-based interpretation of measurable parameters. These experimental data include, on one hand, metabolite uptake and pro....

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Protocol

1. Fermentation and Sampling

  1. Preparation of media and fermenters
    NOTE: All the fermentations are carried out in parallel, using the same strain and in the same chemically defined synthetic medium (SM, composition provided in Table 1), which includes a mixture of ammonium and amino acids as nitrogen sources15. For each fermentation, a single nitrogen compound is provided exclusively in a uniformly labeled 13C or 15N form (100%), while the others remain unlabeled. For each labeled nitrogen source that is used in the set of experiments (here: 15NH4, U-....

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Results

Figure 3 presents a schematic diagram of the workflow that was implemented to investigate the management by yeast of the multiple nitrogen sources that are found during wine fermentation.
For different points of sampling, the biological parameters–growth characteristics, nitrogen consumption patterns, and the profile of proteinogenic amino acids–show a high reproducibility among fermentations (Figure 4). This consistency vali.......

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Discussion

Quantifying the partitioning of compounds through metabolic networks using isotopic tracer experiments is a promising approach for understanding the operation of microbial metabolism. This methodology, while successfully applied with one or two labeled substrates, cannot currently be implemented to study metabolism of various sources using multiple labeled elemental isotopes (i.e., more than two substrates). Indeed, the available analytical techniques enable the accurate determination of the labeling patterns of.......

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Disclosures

The authors have nothing to disclose.

Acknowledgements

We thank Jean-Roch Mouret, Sylvie Dequin and Jean-Marie Sabalyrolles for contributing to the conception of the robotic-assisted fermentation system and Martine Pradal, Nicolas Bouvier and Pascale Brial for their technical support. Funding for this project was provided by the Ministère de l'Education Nationale, de la Recherche et de la Technologie.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
D-GlucosePanReac141341.0416
D-FructosePanReac142728.0416
DL-Malic acidSigma AldrichM0875
Citric acid monohydrateSigma AldrichC7129
Potassium phosphate monobasicSigma AldrichP5379
Potassium sulfateSigma AldrichP0772
Magnesium sulfate heptahydrateSigma Aldrich230391
Calcium chloride dihydrateSigma AldrichC7902
Sodium chlorideSigma AldrichS9625
Ammonium chlorideSigma AldrichA4514
Sodium hydroxideSigma Aldrich71690
Manganese sulfate monohydrateSigma AldrichM7634
Zinc sulfate heptahydrateSigma AldrichZ4750
Copper (II) sulfate pentahydrateSigma AldrichC7631
Potassium iodineSigma AldrichP4286
Cobalt (II) chloride hexahydrateSigma AldrichC3169
Boric acidSigma AldrichB7660
Ammonium heptamolybdateSigma AldrichA7302
Myo-inositolSigma AldrichI5125
D-Pantothenic acid hemicalcium saltSigma Aldrich21210
Thiamine, hydrochlorideSigma AldrichT4625
Nicotinic acidSigma AldrichN4126
PyridoxineSigma AldrichP5669
BiotineSigma AldrichB4501
ErgostérolSigma AldrichE6510
Tween 80Sigma AldrichP1754
Ethanol absoluteVWR Chemicals101074F
Iron (III) chloride hexahydrateSigma Aldrich236489
L-Aspartic acidSigma AldrichA9256
L-Glutamic acidSigma AldrichG1251
L-AlanineSigma AldrichA7627
L-ArginineSigma AldrichA5006
L-CysteineSigma AldrichC7352
L-GlutamineSigma AldrichG3126
GlycineSigma AldrichG7126
L-HistidineSigma AldrichH8000
L-IsoleucineSigma AldrichI2752
L-LeucineSigma AldrichL8000
L-LysineSigma AldrichL5501
L-MethionineSigma AldrichM9625
L-PhenylalanineSigma AldrichP2126
L-ProlineSigma AldrichP0380
L-SerineSigma AldrichS4500
L-ThreonineSigma AldrichT8625
L-TryptophaneSigma AldrichT0254
L-TyrosineSigma AldrichT3754
L-ValineSigma AldrichV0500
13C5-L-ValineEurisotopCLM-2249-H-0.25
13C6-L-LeucineEurisotopCLM-2262-H-0.25
15N-Ammonium chlorideEurisotopNLM-467-1
ALPHA-15N-L-GlutamineEurisotopNLM-1016-1
U-15N4-L-ArginineEurisotopNLM-396-PK
Ethyl acetateSigma Aldrich270989
Ethyl propanoateSigma Aldrich112305
Ethyl 2-methylpropanoateSigma Aldrich246085
Ethyl butanoateSigma AldrichE15701
Ethyl 2-methylbutanoateSigma Aldrich306886
Ethyl 3-methylbutanoateSigma Aldrich8.08541.0250
Ethyl hexanoateSigma Aldrich148962
Ethyl octanoateSigma AldrichW244910
Ethyl decanoateSigma AldrichW243205
Ethyl dodecanoateSigma AldrichW244112
Ethyl lactateSigma AldrichW244015
Diethyl succinateSigma AldrichW237701
2-methylpropyl acetateSigma AldrichW217514
2-methylbutyl acetateSigma AldrichW364401
3-methyl butyl acetateSigma Aldrich287725
2-phenylethyl acetateSigma Aldrich290580
2-methylpropanolSigma Aldrich294829
2-methylbutanolSigma Aldrich133051
3-methylbutanolSigma Aldrich309435
HexanolSigma Aldrich128570
2-phenylethanolSigma Aldrich77861
Propanoic acidSigma Aldrich94425
Butanoic acidSigma Aldrich19215
2-methylpropanoic acidSigma Aldrich58360
2-methylbutanoic acidSigma Aldrich193070
3-methylbutanoic acidSigma AldrichW310212
Hexanoic acidSigma Aldrich153745
Octanoic acidSigma AldrichW279900
Decanoic acidSigma AldrichW236403
Dodecanoic acidSigma AldrichL556
Fermentor 1LLegallaisAT1357Fermenter handmade for fermentation
Disposable vacuum filtration systemDominique Deutscher029311
Fermenters (250 ml)LegallaisAT1352Fermenter handmade for fermentation
Sterile tubesSarstedt62.554.502
Fermentation locksLegallaisAT1356Fermetation locks handmade for fermentation
BactoYeast ExtractBecton, Dickinson and Company212750
BactoPeptoneBecton, Dickinson and Company211677
Incubator shakerInfors HT
Particle CounterBeckman Coulter6605697Multisizer 3 Coulter Counter
CentrifugeJouanGR412
Plate Butler Robotic systemLab Services BVPF0X-MAAutomatic instrument
Plate Butler SoftwareLab Services BVRobot monitor software
RobViewIn-house developed calculation software
My SQLInternational source database
Cimarec i Telesystem Multipoint StirrersThermo Fisher Scientific50088009String Drive 60
BenchBlotter platform rockerDutscher60903
Ammonia enzymatic kitR-Biopharm AG5390
Spectrophotometer cuvettesVWR634-0678
Spectrophotometer UviLine 9400Secomam
Amino acids standards physiological - acidics and neutralsSigma AldrichA6407
Amino acids standards physiological - basicsSigma AldrichA6282
Citrate lithium buffers - Ultra ninhydrin reagentBiochromBC80-6000-06
Sulfosalycilic acidSigma AldrichS2130
NorleucineSigma AldrichN1398
Biochrom 30 AAABiochrom
EZChrom EliteBiochromInstrument control and Data analysis software
Ultropac 8 resin LithiumBiochromBC80-6002-47Lithium High Resolution Physiological Column
Filter Millex GVMerck MilliporeSLGVX13NLMillex GV 13mm (pore size 0.22 µm)
Membrane filter PALLVWR514-4157Supor-450 47mm 0.45µm
Vacuum pump Millivac MiniMilliporeXF5423050
Aluminium smooth weigh dish 70mmVWR611-1380
Precision balanceMettlerSpecifications AE163
Dimethyl sulfoxid driedMerck1029310161(max. 0.025% H2O) SeccoSolv
Combustion ovenLegallais
Pierce BCA protein assay kitInterchimUP40840A
Formic acidFluka94318
Hydrogen peroxideSigma AldrichH1009
Hydrochloric Acid Fuming 37% EmsureMerck1003171000Grade ACS,ISO,Reag. Ph Eur
Lithium acetate bufferBiochrom80-2038-10
Commercial solution of hydrolyzed amino acidsSigma AldrichAAS18
L-Methionine sulfoneSigma AldrichM0876
L-Cysteic acid monohydrateSigma Aldrich30170
Pyrex glass culture tubesSigma AldrichZ653586
PyridineAcros Organics13178050099% Extrapure
Ethyl chloroformateSigma Aldrich23131
DichloromethaneSigma Aldrich32222
VialsSigma Aldrich854165
Microinserts for 1.5ml vialsSigma AldrichSU860066
GC/MSAgilent Technologies5890 GC/5973 MS
ChemstationAgilent TechnologiesInstrument control and data analysis software
MethanolSigma Aldrich34860Chromasolv, for HPLC
AcetonitrileSigma Aldrich34998ChromasolvPlus, for HPLC
N,N-Dimethylformamide dimethyl acetalSigma Aldrich394963
BSTFASigma Aldrich33024
DB-17MS columnAgilent Technologies122-473130m*0.25mm*0.15µm
Sodium sulfate, anhydrousSigma Aldrich238597
Technical nitrogenAir products14629
Zebron ZB-WAX columnPhenomenex7HG-G007-1130m*0.25mm*0.25µm
Helium BIPAir products26699
Glass Pasteur pipettesVWR612-1702

References

  1. Osterlund, T., Nookaew, I., Nielsen, J. Fifteen years of large scale metabolic modeling of yeast: developments and impacts. Biotechnol Adv. 30, 979-988 (2012).
  2. Gombert, A. K., Moreirados Santos, M., Christensen, B., Nielsen, J.

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Tags

Nitrogen Source PartitioningYeast Metabolic NetworkStable Isotope LabelingParallel FermentationsHPLC GC-MS AnalysisRobot-Assisted MonitoringAmino Acid AnalysisVolatile Molecule Quantification