Fatty Acid <sup>13</sup>C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Ralph Menzel; Rainer Nehring; Dilara Simsek; Liliane Ruess

doi:10.3791/57110

JoVE Journal > Biochemistry

Biochemistry

Fatty Acid ¹³C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers

Published: April 17, 2018

doi:

10.3791/57110

Ralph Menzel¹, Rainer Nehring¹, Dilara Simsek¹, Liliane Ruess¹

¹Ecology, Institute of Biology,Humboldt-Universität zu Berlin

Summary

The fatty acid trophic marker approach, i.e., the assimilation of fatty acids as entire molecule and transfer into consumer tissue with no or minor modification, is hampered by knowledge gaps in fatty acid metabolism of small soil invertebrates. Isotopologue profiling is provided as a valuable tool to disentangle trophic interactions.

Abstract

Fatty acids (FAs) are useful biomarkers in food web ecology because they are typically assimilated as a complete molecule and transferred into consumer tissue with minor or no modification, allowing the dietary routing between different trophic levels. However, the FA trophic marker approach is still hampered by the limited knowledge in lipid metabolism of the soil fauna. This study used entirely labelled palmitic acid (¹³C16:0, 99 atom%) as a tracer in fatty acid metabolism pathways of two widespread soil Collembola, Protaphorura fimata and Heteromurus nitidus. In order to investigate the fate and metabolic modifications of this precursor, a method of isotopologue profiling is presented, performed by mass spectrometry using single ion monitoring. Moreover, the upstream laboratory feeding experiment is described, as well as the extraction and methylation of dominant lipid fractions (neutral lipids, phospholipids) and the related formula and calculations. Isotopologue profiling does not only yield the overall ¹³C enrichment in fatty acids derived from the ¹³C labeled precursor but also produces the pattern of isotopologues exceeding the mass of the parent ion (i.e., the FA molecular ion M⁺) of each labeled FA by one or more mass units (M⁺¹, M⁺², M⁺³, etc.). This knowledge allows conclusions on the ratio of dietary routing of an entirely consumed FA in comparison to de novo biosynthesis. The isotopologue profiling is suggested as a useful tool for evaluation of fatty acid metabolism in soil animals to disentangle trophic interactions.

Introduction

In a cryptic habitat such as soil, trophic relationships are difficult to address and are further restricted by the small size of the fauna. The last decade has seen advances in biochemical ecology, particularly in the use of fatty acids as biomarkers for defining feeding strategies of the soil fauna under field conditions¹^,²^,³. This is based on the fact that fatty acids from resources can be incorporated in consumer tissue as entire molecules, a process termed dietary routing⁴. Transfer of fatty acids has been reported over three trophic levels, i.e., from fungi to nematodes to Collembola⁵. Recently, the predatory fauna was considered⁶^,⁷ and the first reviews on fatty acids as trophic markers in soil food webs have been published⁸^,⁹.

More detailed information on trophic interactions is attained by fatty acid stable isotope probing (FA-SIP). The determination of ¹³C/¹²C ratios in fatty acids in diets and consumers can ascribe binary links and estimate the associated carbon flow, and has been employed in terrestrial, fresh water, and marine food webs¹⁰^,¹¹^,¹²^,¹³. The basic assumption is that dietary routed fatty acids are not subject to enzymatic processes; therefore, their ¹³C signal, i.e., the ¹³C/¹²C ratio of the fatty acid, in the consumer is similar to that in the diet¹. However, a gradual depletion of the ¹³C signature up the food chain has been reported in aquatic systems, thereby hindering broad application of FA-SIP in trophic studies¹⁴^,¹⁵^,¹⁶. Moreover, knowledge in the lipid metabolism in most invertebrates in terrestrial food webs is still limited.

An understanding of the lipid metabolism pathways in consumers is essential for the usage of trophic marker fatty acids as means for the determination of the quantitative carbon flow in food web ecology. With this in mind, ¹³C-isotopologue profiling, which in principle can be applied for investigation of the carbon metabolism of any biological system¹⁷, is a promising method. Following the introduction of a ¹³C-labelled carbon substrate, the distribution of the ¹³C in the metabolic network is traceable since the generated metabolic products in the consumer show a specific isotopologue distribution. This can be assessed by quantitative nuclear metabolic resonance spectroscopy¹⁸^,¹⁹ or mass spectrometry²⁰^,²¹, with the latter favored in biological samples with low biomass due to its higher sensitivity.

Although isotopologue profiling has been successfully applied to amino acids and provided insight into the in vivo carbon metabolism of bacterial pathogens¹⁷^,²²^,²³, its implementation in fatty acids has lagged behind. The first detailed analysis on the fate of a stable isotope labelled precursor fatty acid, its dietary routing or degradation via β-oxidation, in soil invertebrate consumers, was recently performed by Menzel et al.²⁴. Here, the methodological basics for incorporation experiments with ¹³C labelled fatty acids followed by isotopologue analysis of key descendants in frequent soil invertebrates, the Collembola, are provided. These microarthropods are a good model group as they form important components of the soil food web and are well investigated for their trophic marker fatty acids⁸^,²⁵.

An understanding of the lipid metabolism pathways in consumers is essential for the usage of trophic marker fatty acids as means for the determination of the quantitative carbon flow in food web ecology. The present protocol gives the design and set up for a laboratory feeding experiment, and the biochemical procedures for extraction and methylation of dominant lipids fractions (neutral lipids, phospholipids) from Collembola. It demonstrates how the isotopologue composition of fatty acids is analyzed by mass spectrometry and describes the related formula and calculations. This procedure results in: (i) the ratios of isotopologues exceeding the mass of the parent ion (i.e., the fatty acid molecular ion M⁺) by one or more mass units (M⁺¹, M⁺², M⁺³, etc.) and (ii) the overall ¹³C enrichment in fatty acids derived from the ¹³C labelled precursor. Although used for Collembola, this approach can generally be applied to any other predator-prey interaction on the premise that these are culturable in sufficient quantity under controlled conditions to ensure a successful label uptake and subsequent verification.

Protocol

The described protocol does not fall under the competence of Animal Ethics. However, when people adapt the described protocols to higher animals, take care that the institutional Animal Ethics committee approved the protocol for animal handling.

1. Cultivation of Animals

NOTE: All explained experimental steps are based on well-established protocols²⁶^,²⁷^,²⁸. Biotests in the laboratory need a continuous supply of easily culturable organisms. Here, the Collembola species Protaphorura fimata (Gisin, 1952) and Hetermurus nitidus (Templeton, 1835) have been used. Both species are simple to maintain as productive laboratory cultures fed with baker's yeast.

In plastic microcosms with tight fitting lids (diameter 7 cm, height 4.5 cm), add a mixture of activated charcoal, plaster of Paris, and distilled water to provide a highly moist breeding substrate (Figure 1A).
1. When preparing microcosms mix enough substrate, e.g., for 10 microcosms in a batch. Mix 9 parts of plaster of Paris (225 g) and 1 part of dry activated charcoal (25 g) together in a plaster pot, add carefully about 10 parts of distilled water (250 mL) and allow to sit for 5 minutes without stirring at room temperature.
2. Stir with a lab spoon at moderate speed in clockwise direction to avoid air bubbles until a thick soupy consistency is achieved. Pour immediately into microcosms to a height of about 1 cm.
3. Smooth the plaster by gentle tapping on the bench and swirling. Note that holes (random products of air bubbles) and furrows (actively added with a sterile spatula) may encourage fertile Collembola to lay eggs there. This study avoided holes and furrows in favor of having the same reproducible conditions. However, for demonstration purposes Figure 1B presents some holes.
4. Allow drying for about 1 – 2 days at room temperature; incubation at 60 °C may reduce that time to 1 – 2 h.
5. Moisten microcosms before use by adding tap water with a pipette until the substrate is slightly damp. Keep microcosm moist by regularly adding distilled water as Collembola have a soft cuticle and is susceptible to desiccation.
Transfer Collembola easily to the plaster base using a simple suction tube, i.e., a long silicon tube about 25 cm long with a pipette tip fitted with a small mesh to prevent suction of animals into the tube. Alternatively, transfer animals by allowing them to adhere on the bristles of a small brush.
Transfer (see step 1.2) 30 freshly hatched Collembola into new microcosms and provide granulated dry Baker's yeast as food (about a knife tip) (Figure 1B); renew at least twice a week. Plan three independent replicates per sampling day; in this study days 0 – 7 and 14. Incubate at 15 °C in darkness. Maintaining a constant temperature is essential, as fatty acids are altered by animal metabolism to meet the requirements for membrane fluidity.
Feed Collembola with baker's yeast for four weeks before starting the exposure experiments to get a homogenous ¹³C/¹²C signal and pattern in fatty acids. Use a suction tube or a brush to remove all eggs (Figure 1C), fecal pellets, and exuviae regularly as animals may feed on them thereby altering their lipid profile.

Figure 1: Cultivation of Collembola. (A) Microcosm filled with breeding substrate, a dried mixture of plaster of Paris, activated charcoal and distilled water. (B) and (C) Representative specimen of a Protaphorura fimata culture; note the small nuggets of dry Baker's yeast used as the food source and also as holes in the breeding substrate (black arrow) (B) as well as two eggs (white arrow) (C). Please click here to view a larger version of this figure.

2. Labelling Diet, Harvest, and Sample Handling

Labelling
1. Four weeks after establishing the Collembola cultures, place 30 individuals each into new microcosms and incubate at 15 °C in darkness.
2. Introduce the pulse label by feeding them bakers' yeast containing an entirely ¹³C-labeled palmitic acid (¹³C16:0, 99 atom%) by mixing ¹³C-labeled palmitic acid with baker's yeast with a spatula at a ratio 0.5:1, e.g., 5 g ¹³C16:0 and 10 g dry baker's yeast. Place about a knife tip on each microcosm.
3. After 6 h, replace this labeled food with completely unlabeled baker's yeast.
Further cultivation
1. During the course of the experiment renew the yeast diet every three days and add amounts higher than what Collembola will consume within that period. Most importantly, use a suction tube or brush to remove Collembolan eggs, fecal pellets and exuviae regularly to ensure exclusive feeding by the animals on the provided food.
Harvest
1. Sample microcosms destructively daily until day 7. Then on day 14, collect three independent replicates at each sampling time; different sampling times are possible.
2. Prepare 10 mL glass tubes equipped with Teflon coated screw caps, one for each sample. Beforehand clean these tubes in a glassware washer and rinse twice with deionized water afterwards. Finally, to remove any traces of hydrophobic pollutants wash twice by adding 2 mL of chloroform (HPLC grade), vortex roughly and discard the solvent.
3. For control samples (day 0), take 3 30 non-exposed Collembola from the pre-cultures as day 0 samples.
4. For exposed samples (day 1 and onwards), take for the daily samples in each case 3 30 exposed Collembola from the cultures intermediately fed with the mix of ¹³C-labeled palmitic acid and baker's yeast.
5. Record Collembola fresh weight by an ultra-microbalance. Transfer animals using an exhauster or brush to appropriate scale-pans. To ensure easy handling of Collembola during weighing in the scale-pans, shock-cool animals before (-80 °C for 2 h). Alternatively, a CO₂ stream for 10 min can safely stun animals.
Directly after weighing put animals from the scale-pans carefully into 10 mL glass test-tubes. Fill the tubes with 1 mL of methanol (HPLC grade) and store at -20 °C until analysis.
NOTE: From this step onwards, avoid sample handling with plastic equipment as organic solvents are involved; instead use dispensers and pipettes that are suitable for solvents as well as glass vessels.

3. Lipid Extraction from Animal Tissue and Methanolysis

Prepare three glass test-tubes (equipped with Teflon coated screw caps) per batch containing only 1 mL of methanol as blank values. Importantly, add or transfer any solvent used in this protocol only by glass pipettes or chloroform/methanol rinsed solvent-resistant dispensers.
At the beginning of the lipid extraction process, reduce the methanol applied for storage (or blanking) by evaporation; a compact benchtop Rotational Vacuum Concentrator (RVC) equipped with a vacuum pump and a cold trap is recommended. Transfer the open tubes into the RVC and evaporate until dry at 50 °C and vacuum pressure of 200 hPa for 20 min.
Add 5 mL of single-phase extraction solvent (chloroform/methanol/0.05 M phosphate buffer 1:2:0.8, pH 7.4) to each sample (including blanks) and extract Collembolan lipids at room temperature by shaking overnight (~ 200 rpm).
Transfer the solvent to new tubes and re-extract samples by shaking for 3 h with an additional 2.5 mL of extraction solvent. After that, combine extracts from both steps; the use of glass Pasteur pipettes is recommended. Add 0.8 mL of chloroform and 0.8 mL of distilled water, then mix and centrifuge at 2,000 g at 20 °C for 5 min. Finally, allow samples to stand for 5 min for the separation of aqueous and chloroform phases.
For fatty acid pattern analysis, divide the total cellular lipids of Collembola into neutral lipid, glycolipid, and phospholipid fractions.
1. For each sample, prepare a silica acid column (commercial column with 0.5 g silicic acid, mesh size 100-200 µm, see Table of Materials) by adding 1 mL of chloroform (preconditioning). To speed up this process, mount the columns on a vacuum block as commonly used in chromatography for solid phase extraction. Do not use nylon needles; use stainless steel above the tubes.
2. After the chloroform used for preconditioning has passed through the column transfer the complete lower chloroform phase of each sample to an individual column. To simplify this procedure, the upper aqueous phase can be removed beforehand. Use Pasteur pipettes of glass, however, take care that the columns do not dry out.
3. Successively elute lipid fractions with 5 mL of chloroform (including neutral lipid fatty acids, NLFAs), 10 mL of acetone (glycolipids – not analyzed in this project) and 5 mL of methanol (including phospholipid fatty acids, PLFAs). Collect each fraction in individual glass vessels.
4. At the end of extraction, reduce the chloroform (NLFAs) and the methanol (PLFAs) via evaporation in an RVC. Transfer the open tubes to the RVC and evaporate until dry, ~ 90 min at 60 °C and a vacuum of 24 hPa.
Start saponification of lipids (NLFA and PLFA fractions) following the protocol from Welch (1991)²⁹ with addition of 1 mL of sodium hydroxide-methanol solution (45 g of sodium hydroxide, 150 mL of methanol, and 150 mL of distilled water) and incubate at 100 °C for 30 min in a water bath. Cool the sample in icy water for 2 min, then put the samples back on the bench and continue working at room temperature.
Add the internal standard to each sample including the blanks. Choose a fatty acid not common in the experimental organisms; also use a saturated fatty acid to minimize loss by cleavage and select a molecule with intermediate chain-length. For many purposes, the odd-numbered nonadecanoic acid (19:0) works well. So, add 30 µL of a 0.74 mM solution in isooctane. The exact quantity is very important – be sure to have checked the precision of your pipette with a microbalance in advance.
Add 2 mL of hydrochloric acid-methanol (mix 325 mL of 6.0 N hydrochloric acid with 275 mL of methanol), incubate at 80 °C for 10 min in a water bath and cool rapidly on ice for 2 min. This step is time and temperature sensitive; use 80 ± 1 °C and 10 ± 1 min. Check with how many samples can go into the water bath at once to keep the 80 °C.
NOTE: This procedure results in fatty acids methyl esters (FAMEs), i.e., fatty acid analytes stabilized for vaporization in gas chromatography.
Finally, add 1.25 mL of hexane/methyl tertiary butyl ether (1:1) and rock gently for 10 min, then centrifuge at 2,000 g for 5 min. Remove the bottom phase and keep the top phase comprised of FAMEs; use glass Pasteur pipettes. Add 3 mL of aqueous sodium hydroxide (10.8 g of NaOH dissolved in 900 mL of distilled water) for a washing step.
1. Rock and centrifuge again.
Take the complete upper lipid-containing phase using a glass Pasteur pipette and transfer to a gas chromatography sample vial equipped with a Teflon septum. Avoid including even small amounts of the aqueous phase, as this will cause problems with the GC measurement. Encapsulate vial and store at -20 °C until analysis.

4. Quantification of Fatty Acids by GC-FID

Use gas chromatography to identify and quantify the FAMEs in the NFLA and PLFA fractions of Collembola (animal) lipids. A gas chromatograph (GC) equipped with flame ionization detector (FID) is an established and proven equipment³⁰.
For identification of FAMEs, compare retention time of peaks in the sample to those in a FAME standard. These are qualitative or quantitative standard mixture of key FAMEs covering a variety of food products and organisms.
Employ FAME standard mixtures comprising representative FAs for the investigated organism group and experimental diet. In Collembola, these are fatty acids characteristic for eukaryotes, e.g., long-chain polyunsaturated fatty acids such as arachidonic acid (20:4ω6). When employing yeast as diet these are fungal markers such as linoleic acid (18:2ω6). A good choice is the so-called FAME mix, comprising 37 different fatty acids frequent in animal, fungal and plant material, and the bacterial acid methyl ester (BAME) mix (see Table of Materials).
To run the samples on the GC-FID, set up a sequence with the respective software of the instrument. For instructions, refer to the manufacturer's manual. The sequence starts with the external standard mixtures (e.g. FAME and BAME mix), followed by the samples. Note that there is a retention time shift, i.e., a slight delay in elution time of the fatty acids from the GC column with each run, while running samples! Either include a standard every 10^th run in the sample sequence or use retention time locking for palmitic acid (16:0).
Adapt GC settings dependent on the instrument. The following program is suggested for a high performance (HP) capillary column (25 m x 0.2 mm i.d., film thickness 0.33 µm. Set injection volume to 1 µL in splitless mode and use hydrogen as carrier gas. Employ a temperature program beginning at 50 °C (held for 1 min) and increasing by 25 °C min^-1 to 175 °C followed by 3 °C min^-1 to 230 °C (held for 5.7 min).
Calculate the nmol fatty acid per gram fresh (dry) weight of organisms using the response obtained by FID for each FAME applying the known amounts for the respective fatty acid using the following formula:

A_FAME: Peak area of the respective FAME in the sample
MW_FM: Molecular weight of the respective FAME in µg/µmol
C_IS: Concentration of the internal standard in µg
A_IS: Peak area of the internal standard
m_Col: Fresh (dry) weight of respective Collembola sample in g
1000: Conversion factor from µmol to nmol
c_BW: Concentration of the respective FAME in the mean of corresponding blank values in nmol

5. ¹³C Analysis by Isotopologue Profiling

Use a GC system coupled to a Mass Selective Detector (MS) supplied with an electron ionization (EI) source for isotopologue determination.
1. Use a polar capillary column (e.g., DB 23, CP-Sil 88) as this further allows the separation of unsaturated fatty acids even with the same numbers of double bonds. The choice of the GC column is critical for the results as it determines the good representation of the molecule ion in the fatty acids.
2. For a DB 23 column (60 m x 0.25 mm i.d., film thickness 0.15 µm), start oven temperature at 130 °C and increase by 6.5 °C/min to 170 °C. Follow with an increase of 3 °C/min to 203 °C and hold for 1.9 min. Follow with an increase of 40 °C/min to 230 °C and hold for 8.3 min. Set transfer line temperature to 280 °C. Again, adjust GC method to the instrument.
3. Use quantitative standards comprising known amounts of FAMEs for all fatty acids to be investigated for ¹³C incorporation. Put these standards at the start and end of each sample sequence run. Take the retention times of the fatty acids of interest from these standards.
4. Measure samples from the experiments always starting with the unlabeled samples, and the labelled probes thereafter. Apply a split ratio appropriate to the sample concentrations, e.g. 1:12.5.If available for the instrument, apply a backflush with helium after each sample run to clear off column from remaining analytes.
5. Apply retention time locking to the GC-MS method so that the SIM acquisition does not suffer from shifting and there is reproducible analyte retention times.
Determine ¹³C incorporation in the molecular ion of fatty acids by the GC/EI-MS using the selected ion monitoring (SIM) mode of the instrument. Operation in SIM mode allows to detect specific analytes with increased sensitivity relative to full scan mode.
1. Run an initial scan first to see what is present and then run SIM on appropriate ions. Acquire data at molecular masses of interest by selecting m/z scan windows (SIM groups) encompassing the chromatographic peak time of the respective fatty acid. Typically, monitor two to four ions per analyte and time window.
2. In order to increase sensitivity, adjust the mass scan rate and dwell times (the time spent looking at each mass). The best quality data are obtained at the lowest possible speed, and a generally rule in SIM is 8 to 12 scans over the analyte peak. A proxy for instrument settings is an average dwell time per mass of 9 ms, a cycle time of 6 s and a scan time of 175 ms cyle^-1.
3. Detect the molecular ion (M⁺) of the respective fatty acid and all its isotopologues (M⁺¹, M⁺² and so forth). For examples, see Representative Results.
4. Record the abundance of each ion fragment (isotopologue). Note that the abundance of the molecule ion and its isotopologues is relatively low and the quality of quantification depends greatly on the performance of the MS system. Run a tune before starting a large sample sequence (experiment) and clean the ion source if necessary.
  NOTE: Firstly, these data yield the overall ¹³C enrichments of each fatty acids by the consumed precursor (here 16:0).
5. Use the proportion of the isotope composition of labelled fatty acids from their unmarked counterparts to assign the trophic carbon flux. Use the atom% formula in step 6.1 to calculate the percentage of the labelled carbon (atom percent, atom%) in the respective fatty acid. Compare the percentage of ¹³C in fatty acids of Collembola between labelled (day 1 and later) and unlabeled animals (day 0) as relative indication for the flow of ¹³C from diet into consumer.
6. Assign the position of ¹³C incorporation into the fatty acid chain. Based on the distribution of the isotopologues disentangle the dietary routing of the entire marked tracer fatty acid (here 16:0) from chain elongation by lipid metabolism. While assimilation of the entire marker molecule increases the abundance of isotopologues farthest to the parent ion (M⁺), e.g., M⁺¹⁵, M⁺¹⁶, with chain elongation by the use of ¹³C labelled C2 fragments (¹³C acetyl-CoA) the isotopologues close to the molecular ion get more frequent.

6. Calculations of ¹³C Enrichment

According to the distribution of the isotopologues, calculate the overall percentage of the labelled carbon (in atom%) in the respective fatty acid using the following relationship: atom% = (ratio ¹³C isotopologue incorporated) x (frequency respective isotopologue)
This is calculated after Kuppardt et al.³¹ as:
where N is the number of carbon atoms in the fatty acid, J is the number of ¹³C isotopes, A_M+J is the abundance of the respective isotopologue, and A_T the total abundance of all isotopologues.
For calculation, sum the peak area values of the molecular ion (M⁺) of the respective FA and all isotopologues (M⁺¹, M⁺², and so forth), detected by SIM-MS analysis, and set to 100% relative abundance. Calculate the portion of each detected isotopologue is easily by following the rule of three.
Subtract the non-labelled day 0 control value (natural ¹³C background) from the experimental values to obtain final data traced only back to the performed external ¹³C-labeling.

Representative Results

Fresh weight and lipid content of Collembola
In the course of the described experiment, the content in NLFAs and PLFAs did not change significantly over time, whereas the fresh weight of specimens increased slightly but not significantly²⁴. Both parameters indicate a good level of physical fitness of the Collembola specimens. Be aware to investigate Collembola's fresh weight and lipid content throughout the experiment corresponding to the sampling days for fatty acid and isotope analysis. Note that a loss of weight and/or a decrease of lipid content during the experimental period indicate a reduced fitness of the test organism and the derived data drastically lose significance.

Isotopologue detection
The special significance of isotopologue profiling projects lies in the individual detection and quantification of both the molecular ion and all isotopologues in a specific fatty acid. For example, in case of 16:0 the ions range from 270, i.e., molecular ion M⁺ (C skeleton mainly composed of ¹²C atoms) to 286 (isotopologue M⁺¹⁶– carbon chain completely substituted with the heavy ¹³C). Figure 2A presents a SIM-MS spectrum of pure 16:0, palmitic acid. The natural abundance of ¹³C in this compound becomes detectable by the presence of M⁺¹ and M⁺² isotopologues in addition to the molecular ion (M⁺). By comparison, Figure 2B shows the spectrogram of the entirely labeled palmitic acid (99 atom% ¹³C) used in this study. Here, the sole occurrence of the ion M⁺¹⁶ reflects the high purity of this synthetically labeled compound.

Figure 2: Representative SIM scans of pure (A) unlabeled and (B) entirely labeled palmitic acid. Note the natural abundance of M⁺¹ and M⁺² isotopologues in addition to the molecular ion (M⁺) in the unlabeled C 16:0 (A) but the exclusive presence of the M⁺¹⁶ isotopologue in the entirely labeled fatty acid (99 atom% ¹³C). Please click here to view a larger version of this figure.

Elongation/desaturation versus de novo synthesis
After harvesting the test organisms, lipid extraction and derivatization, the generated FAMEs are ready to be analyzed by GC and SIM-MS. By examination of isotopologue profiling data, one can now distinguish between de novo synthesis and desaturation/elongation events of the entire labeled marker fatty acid. The former can take place, at least partially, based on ¹³C Acetyl-CoA as product of the degradation of the labelled precursor via beta-oxidation. Figure 3 shows representative examples of SIM scans derived from four dominant fatty acids in the PLFA fraction of H. nitidus at the first sampling day after labelling. The assimilation of the labelled marker molecule into palmitic acid becomes visible by the abundance of the M⁺¹⁶ – isotopologue, as it represents the entirely labeled fatty acid (Figure 3A – 16:0). Further, desaturation of 16:0 (Figure 3B – 16:1ω7) or elongation plus desaturation (Figure 3C – 18:1ω9, Figure 3D – 20:4ω6) can be assigned. Thereby, the detection of isotopologues bigger than M⁺¹⁶, e.g. M⁺¹⁷ and M⁺¹⁸ demonstrate chain elongation of the labelled precursor 16:0 by the use of ¹³C2-fragments. De novo biosynthesis based on ¹³C Acetyl-CoA of fatty acids is indicated if isotopologues close to the molecular ion, i.e., M⁺¹ to M⁺² get significantly more frequent than in the control represented by day 0 sampling.

Figure 3: Representative SIM (selected ion monitoring) scans of fragment ions in fatty acids of Heteromurus nitidus (PLFA fraction, 1 day after labelling). (A) Palmitic acid (16:0) (B) Palmitoleic acid (16:1ω7) (C) Oleic acid (18:1ω9), and (D) Arachidonic acid (20:4ω6). Please click here to view a larger version of this figure.

Further illustrating this, Figure 4 compares the initial isotopologue pattern of the five most heavily labeled fatty acids (analyzed both in PLFAs and NLFAs); compared are the data from the Collembola species P. fimata on day 0 and day 1. On day 1, the ¹³C signal in C16 and C18 FAs was almost entirely based on the occurrence of the M⁺¹⁶molecule ion, resulting from entirely labeled ¹³C 16:0, supplemented to the food. As mentioned above, the observed traces of M⁺¹⁸ of 18:0 and 18:1ω9 suggest the introduction of a minor portion of ¹³C Acetyl-CoA via chain elongation from 16:0 to 18:0. For 18:1ω9 this was more pronounced in the PLFA faction. Such ¹³C acetyl-CoA derives from β-oxidation of labeled ¹³C 16:0 molecules. Incorporation of ¹³C acetyl-CoA also occurred in the elongation step from chain length C18 to C20, as assigned by the 20:4ω6 of the PLFA samples. Thereby, the ¹³C enrichment in M⁺¹⁶ and M⁺¹⁸ significantly increased with time until day 14 (Figure 4). Moreover, M⁺² of this PLFA 20:4ω6 at day 14 increased when compared to day 0 or 1. This ¹³C allocation in the different isotopologues indicates that the formation of 20:4ω6 is based both on de novo synthesis with inclusion of acetyl-CoA labeled with ¹³C or at natural ¹³C abundance and the elongation/desaturation of the entire ¹³C16:0 precursor molecule. In contrast, distinctly labeled 20:4ω6 did not appear in the NLFA fraction (Figure 4).

Figure 4: Isotopologue pattern of the ¹³C incorporation by SIM (selected ion monitoring). Presented are the relative portions of the ions M⁺¹ to M⁺³ and M⁺¹⁶ to M⁺²⁰ of the five most heavily labeled NLFAs and PLFAs from Protaphorura fimata, estimated on day 0 and day 1. Only for 20:4ω6 the day 14 data are presented in addition. P<0.05 (Dunnett's test with day 0 data used as reference). This figure is a reprint of Figure 5 published in Menzel et al.²⁴ Please click here to view a larger version of this figure.

Discussion

Isotopologue profiling

A detailed analysis of the quantitative aspects in ¹³C distribution in FAs needs cutting-edge technology to assign carbon partitioning in food webs. The present work employed isotopologue profiling to assess the ¹³C/¹²C ratios in common FA biomarkers for tropic interactions. This method is well established for amino acid analysis by liquid chromatography (LC-MS) and was applied for investigations of carbon metabolism in pathogenic bacteria¹⁷^,²³. Only recently, was isotopologue profiling further developed as a tool to study dietary routing of lipids in small soil invertebrates by Menzel et al.²⁴ Since this method is not hampered by the "carry over" of the ¹³C signal, it is therefore advantageous for the evaluation of organic tissue highly enriched with a specific isotope compared to GC-C-IRMS³².

With this approach, the mass-to-charge (m/z) values in the molecular ion and its isotopologues is determined by GC-MS using EI and SIM mode. In comparison to the full scan, the sensitivity in SIM can be increased by about factor 100, which even outstrips the GC-FID quantification range³³. Further, by acquisition of a specified group of ions in a given time window, the analyte is measured reliably despite a background of co-eluting peaks³⁰. Thurnhofer and Vetter³⁴ proved that SIM is suitable for both FA identification and quantification in food samples even with low amounts of lipids available.

When using SIM for ¹³C isotopologue profiling at least two methodological constraints have to be considered. Firstly, molecular ions are of relatively low abundance and their isotopologues are even less. With a dirty ion source, these become less abundant and as a consequence the SIM method will only be semi-quantitative³³. Secondly, the increased occurrence of ¹³C at one or more carbon positions of the FA decreases the ¹³C natural abundance of associated carbon atoms. These changes with labelling are non-linear, a phenomenon called "skew" in natural abundance, which can lead to underestimation of enrichment at these masses²⁰. This skew effect must be accounted for either by using a correction matrix based on FAME standards (see Fernandez et al.) or by including natural controls, i.e., FAs from experimental organisms without label. The latter was performed in the present work comparing the same FA in labelled (day 1 and later) and non-labelled Collembola (day 0).

Dietary routing and ¹³C flux

While the methodological advantages of isotopologue profiling for ¹³C determination in FAs are obvious, in vivo metabolism of organisms can be hindered by biological means. Isotopic and metabolic steady state are difficult to achieve when, e.g., diet usage or the physiological status of consumers are not known, hampering obtaining absolute carbon fluxes. However, by comparing ¹³C isotopologues profiles of FAs in the diet and the consumer, the relative proportion of FA assimilation and metabolic pathways can be obtained. This approach allows following the specific fate of a marker FA based on their ¹³C label by tracing its dietary routing. MS-SIM demonstrated that the marker FA was mainly routed into the NFLA fractions of both Collembola species analyzed²⁴. Moreover, the marker FA was stored in the neutral lipids with only minor or no modifications. Only elongation of the dietary ¹³C16:0 to 18:0 and desaturation to the monoenoic equivalents were detected (see Figure 4). The presence of the ion M⁺¹⁶ in the C16 and C18 FAs of day 1 samples confirms that these FAs are descendants of the supplemented entirely labeled palmitic acid. This finding underpins earlier studies that were based on the FA pattern of consumer and diet solely⁵^,³⁵ and suggests that marker FAs are incorporated as entire molecules into consumer tissue (for a review, see Ruess and Chamberlain⁸).

Meanwhile, the isotopologue ¹³C pattern of PLFAs revealed that the observed increase in ¹³C20:46 over time is due to both elongation/desaturation of entirely labeled precursor FAs and de novo synthesis with the latter also including ¹³C labeled acetyl-CoA as indicated by the presence of M⁺¹⁸ ion traces in C20 and also C18 FAs (see Figure 4). Figure 5 summarizes the dietary routing of supplemented ¹³C16:0 within PLFAs and NLFAs of the observed Collembola species. Interestingly, only ¹³C palmitic acid of PLFAs is subject to stronger changes, whereas the metabolic transformation in the NLFAs remained limited to only one elongation and two desaturation steps.

Figure 5: Fate of dietary ¹³C palmitic acid in consumer lipids. The flow-charts show the proposed fate of incorporated ¹³C16:0 in the investigated Collembola species. Arrows symbolize the different levels of metabolic turnover with different thickness. Please click here to view a larger version of this figure.

To summarize, isotopologue profiling by MS-SIM clearly shows that FA use as trophic marker is a robust and reliable method in the ecology of food webs. Although the experimental design did not allow the precise quantification of the ¹³C flux (e.g., as atom% ¹³C of the supplemented FA) for the different steps in the pathways of FA metabolism, isotopologue profiling is a useful tool for all ecological studies using fatty acids as trophic markers. A goal for the future is to obtain a quantitative consumer FA carbon budget by using closed microcosm systems and feeding consumers defined amounts of labeled precursors of fatty acids.

Acknowledgements

The financial support of R. Menzel and L. Ruess by the Deutsche Forschungsgemeinschaft (RU RU780/11-1) is gratefully acknowledged. R. Nehring was funded by RU 780/10-1. Finally, we are extremely thankful to Dr. Hazel Ruvimbo Maboreke for proofreading our manuscript.

Materials

neoLab-Round jars	neoLab	2-1506	69 x 40 mm, 10 pacs/pack
Charcoal activated	Carl Roth	X865.1	p.a., powder, CAS No. 7440-44-0
Alabaster Dental	RÖHRICH-GIPSE	—	http://www.roehrich-gipse.de/dentalgipse.php
Chloroform	Carl Roth	7331.1	HPLC ≥ 99,9 %
Methanol	Carl Roth	P717.1	HPLC ≥ 99,9 %
Hexan	Carl Roth	7339.1	HPLC ≥ 98 %
tert-Butyl methyl ether (MTBE)	Carl Roth	T175.1	HPLC ≥ 99,5 %
Aceton	Carl Roth	7328.2	HPLC ≥ 99,9 %
NaOH	Carl Roth	6771.1	p.a. ≥99 %, in pellets
di-Natriumhydrogenphosphat	Carl Roth	P030.1	p.a. ≥99 % , water free
Na-dihydrogenphosphat Dihydrat	Carl Roth	T879.1	p.a. ≥99 %
Hypochloric acid (6 N)	VWR International	26,115,000	AVS TITRINORM vol. solution
Bond Elut (Columns)	Agilent Tech.	14102037	HF Bond Elut-SI, 500 mg, 3 mL, 50/PK
Präparatengläser Duran	Glasgerätebau Ochs	135215	Ø 16 x 100 mm, plus screw cap with handy knurl and integrated PTFE/silicone gasket
Supelco 37 Component FAME Mix	Sigma-Aldrich	47885-U Supelco	10 mg/mL in methylene chloride, analytical standard
FlowMesh	Carl Roth	2796.1	Polypropylene mesh, approximately 0.3 mm thick, with 1 mm strand spacing
Bacterial Acid Methyl Ester (BAME) Mix	Sigma-Aldrich	47080-U Supelco	10 mg/mL in methyl caproate, analytical standard
Methyl nonadecanoate	Sigma-Aldrich	74208	analytical standard ≥ 98.0 %
Hexadecanoic acid-1-13C (Palmitic)	Larodan Fine Chemicals	78-1600	GC ≥ 98.0 % (¹³C: 99.0 %)
RVC 2-25 CDplus	Martin Christ Gefrier-trocknungsanlagen		Compact benchtop midi concentrator
Alpha 2-4 LDplus	Martin Christ Gefrier-trocknungsanlagen		Drying manifold
MZ 2C NT	Vacuubrand GMBH		Vacuum pump
Roto-Shake Genie	Scientific Industries		Combined rocking and rotating device
XP64 Micro Comparator	Mettler Toledo		Super high precision balance
GC-System 7890A	Agilent Tech.		Gas chromatograph
7000 GC/MS Triple Quad	Agilent Tech.		Triple Quad mass spectrometer
7683B Series Injector	Agilent Tech.		Sample injector
Heraeus Multifuge 3SR⁺	Thermo Scientific		Centrifuge with 10 ml tube rotor

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Menzel, R., Nehring, R., Simsek, D., Ruess, L. Fatty Acid ¹³C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers. J. Vis. Exp. (134), e57110, doi:10.3791/57110 (2018).

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