Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Apr 21.
Published in final edited form as: Anal Chem. 2020 Apr 7;92(8):5986–5993. doi: 10.1021/acs.analchem.0c00221

Localization of Double Bonds in Bacterial Glycerophospholipids Using 193 nm Ultraviolet Photodissociation in the Negative Mode

Dustin R Klein 1, Molly S Blevins 1,+, Luis A Macias 1,+, Martin V Douglass 2, M Stephen Trent 3, Jennifer S Brodbelt 4
PMCID: PMC7385702  NIHMSID: NIHMS1611273  PMID: 32212719

Abstract

The need for detailed structural characterization of glycerophospholipids (GPLs) for many types of biologically motivated applications has led to the development of novel mass spectrometry-based methodologies that utilize alternative ion activation methods. Ultraviolet photodissociation (UVPD) has shown great utility for localizing sites of unsaturation within acyl chains and to date has predominantly been used for positive mode analysis of GPLs. In the present work, UVPD is used to localize sites of unsaturation in GPL anions. Similar to UVPD mass spectra of GPL cations, UVPD of deprotonated or formate-adducted GPLs yields diagnostic fragment ions spaced 24 Da apart. This method was integrated into a liquid chromatography workflow and used to evaluate profiles of sites of unsaturation of lipids in Escherichia coli (E. coli) and Acinetobacter baumannii (A. baumannii). When assigning sites of unsaturation, E. coli was found to contain all unsaturation elements at the same position relative to the terminal methyl carbon of the acyl chain; the first carbon participating in a site of unsaturation was consistently seven carbons along the acyl chain when counting carbons from the terminal methyl carbon. GPLs from A. baumannii exhibited more variability in locations of unsaturation. For GPLs containing sites of unsaturation in both acyl chains, an MS3 method was devised to assign sites to specific acyl chains.

Graphical Abstract

graphic file with name nihms-1611273-f0005.jpg


Lipids are a highly diverse class of molecules that participate in a variety of cellular functions including from serving as structural components and signaling precursors and molecules of cells, to functioning as cofactors for protein function.14 Lipidomics, the large scale study of lipids, aims to identify and quantify the lipid composition within a biological system with the ultimate goal of correlating differences in lipid profiles and abundances with variations in metabolic function.46 While the structural diversity of lipids has presented challenges to broad-scale lipidomics analysis, advances in mass spectrometry technology and innovative methods have resulted in improvements in identification and quantitation of lipids in both targeted and global studies.713 There exist two main ex vivo mass-spectrometry-based lipidomic strategies: (1) methods involving liquid chromatography that enable separation of lipids and deeper analysis1416 and (2) shotgun methods entailing direct infusion of lipid extracts without any online chromatographic separation.6,1725 Characterization of glycerophospholipids (GPL), the main component of cell membranes, is particularly taxing owing to the combinations of substituents that modify the glycerol backbone. With either of the two lipidomic strategies, acquisition of MS1 spectra, even with high resolution and high mass accuracy, provides only the sum composition of putative GPLs based on mass values that fit chemical formulas.26 Therefore, tandem mass spectrometry (MS/MS) is needed to confirm specific structures of lipids.27

Low-energy collision-based activation methods, by far the most popular and widely available, provide information about the acyl chain compositions and head groups in negative ion mode and positive ion mode, respectively.2730 However, these MS/MS methods typically fail to reveal the full array of subtle structural details that have significant biological implications, including acyl chain stereochemistry, double bond position, and double bond stereochemistry.3136 In particular, double bond positions have been shown to impact lipid–protein binding and influence membrane fluidity, thickness, and hydration.3,34,35 A number of mass-spectrometry-based methods that use derivatization or metal complexation have been developed to enable double bond localization in conjunction with low-energy collision-induced dissociation (CID).3744 These include derivatization with N-(4-aminomethylphenyl) pyridinium,37 reactions with acetonitrile-derived ions via atmospheric pressure covalent adduct chemical ionization,38 epoxidation reactions,39,40 and Paternò–Büchi reactions.4144 In each case, collisional activation of the resulting modified lipids produced diagnostic fragment ions, thus allowing determination of double bond positions. Multistage collisional activation of lithium-adducted lipids generates fragment ions resulting from vinylic and allylic cleavage that are also diagnostic for double bond positions.45 Additionally, some methods have relied on intentional oxidation of unsaturated lipids to determine double bond positions.4648 For example, Harris et al. recently reacted phospholipids with ozone online after chromatographic separation using a novel flow-cell device.48 This oxidation strategy allows spectra to be acquired in a data-independent manner and therefore only requires collection of MS1 spectra; however, the breadth of information is more limited than that afforded by other MS/MS methods.

Innovative ion activation techniques that exploit gas-phase ion–neutral, ion–ion, ion–electron, or ion–photon chemistry have also been developed that allow localization of double bonds.4963 Radical-directed dissociation (RDD), which entails collisional activation of odd-electron fragment ions derived from irradiation of precursor ions containing a photocleavable adduct or tag, results in a diagnostic series of product ions originating from cleavage of carbon–carbon bonds all along the acyl chains.4951 The spectra generated are clean and highly informative, although the need for derivatization or adduction and the use of multiple stages of analysis add an element of complexity to the method. A number of other alternative ion activation methods including high-energy CID,52 ozone-induced dissociation (OzID),5357 electron-induced dissociation (EID/EIEIO),5861 and meta-stable atom-activated dissociation (He-MAD),62,63 have been shown to produce informative spectra for underivatized lipids.

Ultraviolet photodissociation (UVPD) at 193 nm has also shown utility for the structural characterization of lipids.6471 Recently, UVPD has been used to determine double bond positions within phosphatidylcholines (PC) and sphingolipids.68,69 Both studies were conducted in positive mode owing to the fixed positive charge on the head groups of PC and sphingomyelin. Consequently, diagnostic fatty acid product ions were not observed, and acyl chain compositions were determined either by tracking low-abundance neutral losses or from parallel acquisition of negative mode HCD spectra of anion-adducted PCs.68,69 Without derivatization of GPLs, positive mode methods generally have limited utility for a number of GPL subclasses that preferentially ionize in negative mode, such as phosphatidylglycerols (PG) and phosphatidylinositols (PI).27,72 Williams et al. showed that sodium adduction using infusion of a sodium salt via a tee (i.e., a postcolumn LC setup) allowed determination of acyl chain and double bond positions for a variety of GPLs via UVPD–MS; however, introduction of a nonvolatile salt is not practical for all workflows.70 To address these limitations, a 193 nm UVPD method for the analysis of GPLs in the negative mode is reported in the present study. This method enables determination of the headgroup, acyl chain composition, and double bond positions in a single MS/MS event. Additionally, this method has been integrated with chromatographic separations to reduce complexity in spectra obtained from a shotgun approach resulting from the occurrence of isomeric lipids or other isobaric species. The developed LC–UVPD method was applied to analysis of bacterial GPLs. Interestingly, this method permitted detection of differences in double bond positions between different species of bacteria. This method is therefore another tool that can be used to investigative the mechanisms by which different species of bacteria incorporate sites of unsaturation in acyl chains.

EXPERIMENTAL SECTION

Materials

All GPL standards (synthetic) and the E. coli total lipid extract were purchased from Avanti Polar Lipids (Alabaster, AL) and were used without further purification. Water (H2O) and acetonitrile (ACN) were purchased from EMD Millipore (Billerica, MA). Isopropyl alcohol (IPA), ammonium formate, and formic acid were purchased from Fisher Scientific (Fairlawn, NJ). Chloroform (CHCl3) was purchased from Sigma-Aldrich (St. Louis, MO). GPLs were extracted from A. baumannii following the method of Bligh and Dyer73 as previously described.74 Prior to extraction, A. baumannii was grown to an OD600 of ∼1.0 at 37 °C, harvested at 10 000g for 10 min, and washed with phosphate buffered saline.

Liquid Chromatography and Mass Spectrometry

All experiments were performed using a Thermo Fisher Orbitrap Fusion Lumos mass spectrometer (San Jose, CA) modified with a Coherent Excistar XS excimer laser (Santa Clara, CA) to enable 193 nm UVPD–MS, as previously described.67 GPL standards (10 μM in 50:50 CHCl3/MeOH) were directly infused using a static nanoelectrospray ionization (nanoESI) source (Thermo Fisher) with an applied voltage of 0.8–1 kV. All direct infusion spectra were collected at a resolving power of 120 000 at m/z 200 and were based on an average of 100 scans. For MS/MS experiments, higher-energy collisional dissociation (HCD) was performed with a normalized collision energy (NCE) of 25, and UVPD was performed using 15 laser pulses and 6 mJ per pulse unless indicated otherwise. For MS3 experiments, collision-induced dissociation (CID) was performed at an NCE that provided optimal ion current for neutral ketene losses. Ketene loss fragment ions were isolated in the ion trap with an isolation width of 1 m/z prior to irradiation with 10 laser pulses at 2.5 mJ per pulse. MS3 spectra are an average of 200–300 transients. All UVPD experiments were performed in the high-pressure trap of the dual linear ion trap.

For online separations, the chromatographic method is a variation of the method developed by Damen et al.75 Separations were performed on a Waters CSH C18 column (2.1 × 100 mm, 1.7 μm particle size) (Milford, MA) using a Dionex Ultimate 3000 microflow liquid chromatography system (Sunnyvale, CA) coupled to an Orbitrap Fusion Lumos via an ESI source. The electrospray voltage was held at a spray voltage of 3.8 kV, with a sheath gas of 5 (arbitrary units), an auxiliary gas of 10 (arbitrary units), and a capillary temperature of 300 °C. The column was heated to 50 °C. Approximately 0.3 μg of each sample was injected per analysis (estimated based on signal abundances relative to those obtained for a known commercial standard E. coli phospholipid extract (Avanti)). Mobile phase A consisted of 40:60 H2O/ACN with 10 mM ammonium formate and 0.1% formic acid, and mobile phase B consisted of 10:90 ACN/IPA with 10 mM ammonium formate and 0.1% formic acid. Phospholipids were separated at a flow rate of 260 μL/min over a 60 min gradient that started 2 min after injection. The gradient was ramped from 10 to 45% B over 4 min, followed by a second step to 60% B over 40 min, before an 8 min wash step at 95% B for 6 min and subsequent re-equilibration at 10% B for 8 min. Data-dependent acquisition was performed in top-speed mode with a cycle time of 6 s with consecutive HCD and UVPD spectra acquired for each selected precursor. MS1 spectra were acquired at a resolving power of 30 000 at m/z 200 with two μscans per scan and an AGC target of 1e6. Chromatographic peak widths of 30 s allowed five to seven MS1 spectra to be collected across the elution of a GPL species. MS2 precursors that satisfied the monoisotopic peak selection (MIPS) filter and 1e6 intensity filter were selected and isolated in the quadrupole using an isolation width of 1 m/z. For HCD, precursors were dissociated using an NCE of 25. For UVPD, precursors were dissociated in the high-pressure trap using 10 laser pulses at 2.5 mJ per pulse. A total of three μscans and seven μscans were acquired per HCD and UVPD spectrum, respectively. All MS2 spectra were acquired at a resolving power of 15 000 at m/z 200. The AGC settings were 2e5 and 1e6 for HCD and UVPD, respectively. Lipid notation is based on the format described by Liebisch et al.26 All spectra were interpreted manually with the aid of ChemDraw (PerkinElmer).

RESULTS AND DISCUSSION

HCD and UVPD were performed on a number of GPL standards in negative ion mode (Figures 1, 2, and S2). The HCD and UVPD mass spectra for deprotonated PG 16:0/18:1(9Z) and the corresponding fragmentation map illustrating the cleavages that result in the dominant product ions are shown in Figure 1. As expected, the HCD spectrum contains prominent palmitate (16 carbon chain; 16:0) and oleate (18 carbon chain with 1 site of unsaturation; 18:1) fatty acid fragment ions of m/z 255.23 and 281.25, respectively. Fragment ions of m/z 491.28 and 465.26, corresponding to neutral losses of 16:0 or 18:1 as fatty acids, respectively, and fragment ions of m/z 509.29 and 483.27, corresponding to neutral losses of 16:0 or 18:1 as ketenes, respectively, confirm the acyl chain composition. Additionally, a headgroup ion of m/z 171.01 confirms this lipid as a PG. The UVPD spectrum contains all of the same fragment ions displayed in the HCD spectrum, in addition to a series of ions arising from cleavages throughout the headgroup. Most importantly, a pair of ions of m/z 633.37 and 609.37 with a mass difference of 24 Da that are diagnostic of the double bond position within the 18:1 acyl chain are produced upon UVPD. Diagnostic ions spaced 24 Da apart have previously been observed in positive mode, thus conveying the versatility of UVPD for localizing sites of unsaturation of lipids in both positive and negative modes.6871

Figure 1.

Figure 1.

(a) HCD (NCE 25) and (b) UVPD (10 pulses, 6 mJ) mass spectra of PG 16:0/18:1 (m/z 747.51, [M – H]) with corresponding fragment ion map. Diagnostic UVPD ions are labeled with red arrows in the spectrum and red markers in the fragment ion map.

Figure 2.

Figure 2.

UVPD (15 pulses, 6 mJ) mass spectra of (a) PA 16:0/18:1 (m/z 673.48, [M – H]), (b) PE 16:0/18:1 (m/z 716.52, [M – H]), (c) PS 16:0/18:1 (m/z 760.51, [M – H]), and (d) PI 16:0/18:1 (m/z 835.53, [M – H]). HCD mass spectra and corresponding fragment ion maps are shown in Figures S1 and S2, respectively. Diagnostic UVPD ions are labeled with red arrows in the mass spectra.

Fragmentation is one of a number of possible outcomes upon ion activation. To gain insight into the extent of other processes occurring upon photoactivation, including electron photodetachment, the total ion current and precursor abundance were monitored for consecutive periods with and without laser irradiation during direct infusion of PG 16:0/18:1(9Z) (m/z 747.51, [M – H]). Figure S1a shows the total ion chromatogram for alternating sets of 25 scans (laser on/laser off), and Figure S1b shows averaged precursor spectra for each set of 25 scans. Both the total ion current and the precursor abundance drop by approximately 40% upon photoactivation using 10 pulses (nominally 6 mJ per pulse), which suggests that a large portion of the precursor is depleted during photoirradiation. In addition to the formation of meaningful low-abundance fragment ions described in this study, the significant depletion of the precursor suggests that there are other nondetectable processes, such as the formation of small fragment ions that fall below the detectable m/z range (<m/z 100) or electron photodetachment, a process resulting in nondetectable neutral species owing to the fact that the precursor is a singly charged ion.

To assess the broader applicability of UVPD to other subclasses of GPLs, including phosphatidic acid (PA), phosphatidylethanolamine (PE), phosphatidylserine (PS), and phosphatidylinositol (PI), UVPD mass spectra were collected for deprotonated PA 16:0/18:1(9Z), PE 16:0/18:1(9Z), PS 16:0/18:1(9Z), and PI 16:0/18:1(9Z) (Figure 2). The corresponding HCD mass spectra and fragment ion maps are shown in Figures S2 and S3, respectively. Similar to the features displayed in the UVPD mass spectrum of PG 16:0/18:1(9Z), the UVPD mass spectra obtained for the other GPLs exhibit ions that identify the acyl chain compositions, the head groups, and the double bond positions within the acyl chains. The aforementioned GPLs represent subclasses of lipids that readily produce molecular ions in negative mode via deprotonation. However, PCs, owing to the fixed positive charge on their headgroup, typically only produce ions in the negative mode via anion adduction. The HCD and UVPD mass spectra for PC 16:0/18:1(9Z) as a formate adduct are shown in Figure S4. The HCD mass spectrum displays a characteristic loss of a methyl group plus the formate adduct in addition to product ions that identify the acyl chain composition. The UVPD mass spectrum exhibits all of the same ions seen in the HCD mass spectrum in addition to two pairs of diagnostic ions spaced 24 Da apart that both retain and lose the formate adduct and are diagnostic for the double bond position. Acyl chain neutral loss ions that retain the formate adduct and forgo loss of a methyl group are also observed. These mass spectra suggest that the negative mode could be used for acquisition of MS/MS spectra for a wide range of GPL subclasses without the use of a nonvolatile salt. The prevalence of diagnostic pairs of ions with a mass difference of 24 Da mass in both negative mode and positive mode further suggests this fragmentation pathway is independent of charge site or charge type. Ryan et al. have proposed a cis-1,2-elimination as the mechanism by which this diagnostic pair of ions is generated.69 Tables S1S12 contain lists of all identified fragment ions with calculated ppm error.

While new chromatographic methods have been developed that facilitate separation of complex mixtures of GPLs,75,76 differentiation of isomers requires confident characterization by MS/MS. Integrating negative mode UVPD with a chromatographic workflow affords the opportunity to analyze complex mixtures of GPLs with reduced ion suppression effects that can occur during direct infusion shotgun methods and offers the potential to enhance detection of lower-abundance species or species with lower ionization efficiencies. A method employing alternating HCD and UVPD scans was devised to maximize confirmation of lipid identifications. Figure 3a shows a chromatographic separation of an E. coli total lipid extract. Representative HCD and UVPD mass spectra for one selected lipid of m/z 773.53 (retention time of 22.25 min) are shown in Figures S5a and 3d, respectively. A corresponding fragment ion map combining HCD and UVPD fragmentation is shown in Figure S5d. The HCD mass spectrum enables identification of m/z 773.53 as PG 18:1/18:1 via a fatty acid fragment ion at m/z 281.25, acyl chain neutral losses of m/z 509.29 and 478.30, and a headgroup fragment ion at m/z 171.01. The UVPD mass spectrum additionally displays a set of double bond diagnostic ions of m/z 687.41 and 663.42 that allow the double bond in each acyl chain to be localized to the 11-position. This GPL can more specifically be characterized as PG 18:1(11Δ)/18:1(11Δ). Figure 4 shows another set of HCD (Figure 4a) and UVPD (Figure 4b) mass spectra for the lipid of m/z 728.52 also obtained during chromatographic separation of the E. coli lipid extract. The headgroup ion of m/z 140.01 and fatty acid fragment ions of m/z 281.25 and 267.23 in both the HCD and UVPD mass spectra permit characterization of this GPL as PE 17:1_18:1, as seen in the fragment ion map in Figure 4c. The UVPD mass spectrum (Figure 4b) contains a set of ions at m/z 642.40 and 618.40, confirming the presence of a double bond, in addition to a set of ions at m/z 630.41 and 616.39 spaced 14 Da apart. In a recent study by Blevins et al., UVPD was shown to localize cyclopropane rings within acyl chains via diagnostic ions spaced 14 Da apart.77 UVPD of m/z 728.52 provides an example in which both a double bond and a cyclopropane ring are localized within the acyl chains of the same GPL. While UVPD alone enables localization of sites of unsaturation within acyl chains, unambiguous assignment of unsaturation elements to specific acyl chains requires the MSn capabilities of the ion trap, as was recently demonstrated for cardiolipin lipids.78 Figure 4d shows a direct infusion MS3 mass spectrum, whereby the CID neutral loss fragment ion of m/z 464.27 that has lost 18:1 as a ketene is subsequently activated by UVPD. The resulting mass spectrum contains a prominent fragment ion of m/z 267.23, confirming the presence of the 17:1 acyl chain, in addition to a set of ions of m/z 366.16 and 352.15 spaced 14 Da apart, indicating the presence of a cyclopropane ring, as shown in the resulting fragment map in Figure 4e. Therefore, the GPL of m/z 728.52 can be more completely assigned as PE 17:1(c9Δ)_18:1(11Δ) by using the MS3/UVPD approach.

Figure 3.

Figure 3.

Chromatograms of GPL extracts from (a) E. coli, (b) A. baumannii 17978, and (c) A. baumannii 19606 with extracted ion chromatograms of m/z 773.53 in blue and red. Corresponding UVPD spectra of m/z 773.53 from (d) E. coli, (e) A. baumannii 17978, and (f) A. baumannii 19606. HCD mass spectra and combined HCD and UVPD fragment ion maps are shown in Figure S4. Diagnostic UVPD ions are labeled in blue and red in the mass spectra.

Figure 4.

Figure 4.

(a) HCD (NCE 25) and (b) UVPD (10 pulses, 2.5 mJ) spectra of m/z 728.52 identified as PE 17:1(c9Δ)_18:1(11Δ) from the chromatographic separation of an E. coli lipid extract. (c) Combined HCD and UVPD fragment ion map for m/z 728.52. (d) MS3 CID/UVPD spectrum of the m/z 464.27 fragment ion acquired from direct infusion of an E. coli lipid extract. (e) Fragment ion map for CID/UVPD of m/z 464.27. Diagnostic UVPD double bond and cyclopropane ions are labeled with red and green arrows in spectra, respectively, and red and green markers in the fragment ion maps, respectively. MS3 analysis confirms a cyclopropane in 17:1 and therefore a double bond in 18:1.

Table 1 shows the list of PGs and PEs that were identified in the E. coli lipid extract. Interestingly, all sites of unsaturation in 18:1 acyl chains occur in the 11-position, all sites in the 16:1 acyl chains occur in the 9-position, and the detected cyclopropane ring occurs exclusively at the 9-position. This finding is consistent with reports describing GPL biosynthesis in E. coli whereby the enzyme FabA incorporates a site of unsaturation at the 3-position of a 10-carbon intermediate prior to chain elongation.79 This process leads to acyl chains with a site of unsaturation consistently occurring seven carbons from the terminal methyl carbon.

Table 1.

List of Identified PEs and PGs from an E. coli Lipid Extract

Precursor ion (m/z) RT (min) Lipid identification Fatty acid fragment ions (m/z) Diagnostic DB fraqment ions (m/z)
660.4590 17.17 PE 14:1_16:1(9Δ) 225.1839 255.2311 550.3466 574.3432
719.4872 18.07 PG 16:0_16:1(9Δ) 255.2313 253.2154 609.3839 633.3880
745.5029 18.31 PG 16:1(9Δ)_18:1(11Δ) 253.2151 281.2463 635.3823 659.3921
688.4909 20.69 PE 14:0_18:1(11Δ) 227.1996 281.2476 578.3745 602.3787
688.4933 20.97 PE 16:0J6:1(9Δ) 255.2305 253.2151 578.3766 602.3794
714.5086 21.19 PG 16:0_18:1(11Δ) 253.2152 281.2465 604.4000 628.4022
747.5178 22.01 PE 16:1(9Δ)_18:1(11Δ) 255.2305 281.2464 637.4058 661.3911
773.5347 22.24 PG 18:1(11Δ)_18:1(11Δ) 281.2464 281.2464 663.4206 687.4126
728.5248 24.37 PE 17:1(c9Δ)_18:1(11Δ) 267.2310 281.2463 618.4017 642.3984
716.5300 25.73 PE 16:0J8:1(11Δ) 255.2309 281.2459 606.4147 630.4081
716.5223 26.12 PE 16:1(9Δ)_18:0 253.2154 283.2631 606.4100 630.4100
742.5406 26.08 PE 18:1(11Δ)J8:1(11Δ) 281.2461 281.2461 632.4208 656.4300
775.5500 27.27 PG 18:0_18:1(11Δ) 281.2460 283.2610 665.4377 689.4350
744.5530 31.76 PE 18:0_18:1(11Δ) 281.2464 283.2624 634.4371 658.4405

GPL extracts from A. baumannii 19606 and A. baumannii 17978 were also analyzed using the developed alternating HCD and UVPD method. A. baumannii is a nosocomial Gram-negative pathogen that presents a threat to public health owing to multidrug resistance. Therefore, investigations aimed at elucidating A. baumannii lipid biosynthesis pathways provide opportunities for identification of novel drug targets. Figure 3b,c shows chromatographic separations of GPL lipid extracts from A. baumannii 19606 and A. baumannii respectively. Representative HCD mass spectra of the lipid of m/z 773.53 from each extract are shown in Figure S5b,c, respectively. This ion has the same m/z of the ion that was analyzed from the E. coli lipid extract described above (Figure S5a). The HCD mass spectra of m/z 773.53 from E. coli, A. baumannii 19606, and A. baumannii 17978 are nearly and only enable confirmation of this GPL as PG 18:1/18:1 based on headgroup and fatty acid fragment ions. The UVPD mass spectra of the lipids of m/z 773.53 from A. baumannii 19606 and A. baumannii 17978 in Figure 3e,f both have diagnostic sets of ions at m/z 659.39 and 635.39 that localize double bonds to the 9-position. In the A. baumannii samples, UVPD enables characterization of this GPL as PG 18:1(9Δ)/18:1(9Δ), which differs from that of the isomeric GPL from the E. coli sample, in which sites of unsaturation occurred at the 11-position in 18:1 acyl chains. With HCD alone, this difference in double bond position goes undetected.

Tables 2 and 3 show the list of PGs and PEs that identified in the A. baumannii 17978 and A. baumannii 19606 extracts, respectively. In contrast to E. coli, sites of unsaturation are not always located at the same number of carbons from the acyl chain terminal carbon. A. baumannii contains multiple homologues of E. coli FabA as well as multiple homologues of FabB, an enzyme that is required for further elongation of unsaturated fatty acid intermediates (data not shown). This additional enzymatic machinery may contribute to the diversity we observe in double bond location in this organism. While this result is biologically intriguing, spectral interpretation becomes increasingly challenging, as many spectra contain multiple sets of peaks with differences of 24 Da resulting from either chromatographically unresolved isomers or GPLs in which both acyl chains contain different sites of unsaturation relative to the terminal carbon. For spectra with multiple pairs of ions resulting from chromatographically unresolved isomers, improvements in LC separations or implementation of UVPD on an instrument capable of ion mobility separations may facilitate spectral deconvolution. For GPLs with multiple sites of unsaturation, an MS3 strategy, as shown previously, can be used to confidently assign sites to specific acyl chains. Figure S6 shows one example where MS3 from A. baumannii 17978 enables assignment of the lipid of m/z 745.50 as PG 16:1(9Δ)_18:1(9Δ). In this example, both HCD (Figure S6a) and UVPD (Figure S6b) identified the lipid to be PG 16:1_18:1 (fragment map in Figure S6c), based on product ions of m/z 281.25 (18:1 fatty acid), 253.22 (16:1 fatty acid), and 171.01 (PG headgroup). Upon UVPD, however, two pairs of diagnostic products were observed at m/z 607.36/631.36 and 635.39/659.39, precluding localization of the double bond on either of the unsaturated acyl chains. Analogous to the strategy used above to resolve ambiguity in cyclopropyl and double bond acyl chain assignment, CID/UVPD was implemented to promote a ketene neutral loss to yield a monoacylated phospholipid, which upon UVPD, would produce only one set of diagnostic pairs that confidently localize the site of unsaturation. In Figure S6d, PG 16:1_18:1 was deacylated via CID to produce a product of m/z 481.25 composed of only a 16:1 acyl chain. Subsequent UVPD resulted in only one diagnostic pair at m/z 371.14/395.14, allowing the localization of the double bond to the 9-position of 16:1, as shown in the fragment map in Figure S6e, indicating that the pair at m/z 607.36/631.36 was generated by 16:1(9Δ) and the pair at m/z 635.39/659.39 was generated by 18:1(9Δ), confidently localizing the two double bonds. Thus, CID/UVPD provides an avenue to resolve complexities in the MS/MS spectra.

Table 2.

List of Identified PEs and PGs from an A. baumannii 17978 Lipid Extract

Precursor ion (m/z) RT (min) Lipid identification Fatty acid fragment ions (m/z) Diagnostic DB fragment ions (m/z)
691.4642 14.66 PG 14:0J6:1(9Δ) 227.1998 253.2150 581.3525 605.3369
717.4704 15.30 PG 16:1(9Δ)J6:1(9Δ) 253.2152 253.2152 607.3604 631.3475
717.4704 15.30 PG 16:1(7Δ)_16:1(7Δ) 253.2152 253.2152 579.3220 603.3278
660.4620 16.83 PE 14:0_16:1(11Δ) 227.1996 253.2152 550.3445 574.3433
660.4620 16.83 PE 12:0_18:1(9Δ) 199.1688 281.2477 550.3445 574.3433
686.4773 17.54 PE 16:1(9Δ)_16:1(9Δ) 253.2152 253.2152 576.3649 600.3599
719.4857 17.93 PG 16:0_1
6:1(9Δ)
253.2157 255.2317 609.3869 633.3918
719.4900 18.26 PG 16:0_16:1(7Δ) 253.2155 255.2315 581.3253 605.3380
745.5046 20.15 PG 16:1(9Δ)_18:1(9Δ) 253.2151 - 607.3607 631.3585
- 281.2463 635.3876 659.3928
688.4912 21.43 PE 16:0_16:1(9Δ) 253.2151 255.2307 550.3418 574.3458
688.4912 21.43 PE 16:0_16:1(7Δ) 253.2151 255.2307 578.3669 602.3764
747.5184 21.82 PG 16:0_18:1(9Δ) 255.2310 281.2470 609.3638 633.3732
773.5331 22.53 PG 18:1(9Δ)_18:1(9Δ) 281.2465 281.2465 635.3928 659.3935
761.5350 24.78 PG 17:0_18:1(9Δ) 269.2465 281.2463 623.3907 647.3932
716.5223 25.85 PE 16:0_18:1(9Δ) 255.2313 281.2462 578.3839 602.3759
742.5355 26.82 PE 18:1(9Δ)_18:1(9Δ) 281.2464 281.2464 604.4036 628.4000
775.5504 27.76 PG 18:0_18:1(9Δ) 281.2462 283.2618 637.4036 661.4207
730.5300 28.44 PE 17:0(9Δ)_18:1(9Δ) 269.2467 281.2464 592.3960 616.3993
744.5541 31.98 PE 18:0_18:1(9Δ) 281.2469 283.2627 606.4083 630.4048

Table 3.

List of Identified PEs and PGs from an A. baumannii 19606 Lipid Extract

Precursor ion (m/z) RT (min) Lipid identification Fatty acid fragment ions (mlz) Diagnostic DB fragment ions (mlz)
717.4695 15.07 PG 16:1(9Δ)/16:1(9Δ) 253.2152 253.2152 607.3607 631.3541
686.4751 17.19 PE 16:1(9Δ)/16:1(9Δ) 253.2151 253.2151 576.3596 600.3563
719.4855 17.87 PG 14:0_18:1(9Δ) 227.2000 281.2500 581.3370 605.3411
719.4892 18.10 PG 16:0J6:1(9Δ) 253.2153 255.2313 609.3834 633.3876
733.5018 19.99 PG 15:0_18:1(10Δ) 241.2150 281.2479 609.3696 633.3750
733.5018 19.99 PG 16:0J7:1(9Δ) 255.2308 267.2307 609.3710 633.3746
688.4927 20.88 PE 16:0_16:1(9Δ) 255.2307 253.2153 578.3740 602.3818
747.5165 22.01 PG 16:0_18:1(9Δ) 255.2311 281.2470 609.3639 633.3738
773.5330 22.76 PG 18:1(9Δ)/18:1(9Δ) 281.2465 281.2465 635.3925 659.3935
761.5325 24.79 PG 17:0/18:1(9Δ) 269.2465 281.2463 623.3923 647.3909
716.5250 25.87 PE 16:0/18:1(9Δ) 255.2313 281.2461 578.3824 602.3764
742.5415 26.61 PE 16:0/18:1(9Δ) 281.2463 281.2463 604.4012 628.3960
775.5484 27.51 PG 18:0/18:1(9Δ) 281.2461 283.2615 637.4040 661.4052
730.5381 28.91 PE 17:0/18:1(9Δ) 269.2468 281.2466 592.3951 616.4001
744.5560 32.06 PE 18:0/18:1(9Δ) 281.2468 283.2625 606.4075 630.4077

CONCLUSIONS

UVPD of GPL anions generates double bond diagnostic ions with a mass difference of 24 Da, in addition to the same types of fragment ions generated by collisional activation, confirming the utility of UVPD for GPLs that preferentially ionize in negative mode. The presented work also validates UVPD as a method capable of detecting both double bonds and cyclopropyl modifications within a single workflow. For the first time, untargeted analysis of lipid extracts was performed using this online LC–UVPD–MS method. For GPL structures with sites of unsaturation in each acyl chain, an MS3 infusion-type method enabled localization of sites to specific acyl chains. Application of the LC–UVPD–MS method to bacterial lipid extracts revealed differences in the acyl chain unsaturation profiles between E. coli and A. baumannii. Considering the role unsaturated acyl chains play in the maintenance of membrane structure, enzymes responsible for incorporation of unsaturation elements in bacteria have been considered as antibiotic targets. The devised strategy provides a means to investigate the different mechanisms by which various species of bacteria incorporate unsaturation motifs in acyl chains and has the potential to inform antibiotic development via more detailed lipid structural mapping. While UVPD enables a higher level of structural characterization, it brings attention to the striking complexity of lipid profiles and suggests that additional method development is required to resolve ambiguity in spectra where isomers are not chromatographically resolved. Addition of gas-phase ion-mobility-type separations to the present workflow offers one potential means to further alleviate the occurrence of chimeric spectra.

Supplementary Material

Supporting

ACKNOWLEDGMENTS

Funding from the NIH (RO1 GM103655 to J.S.B., and AI129940 and AI138576 to M.S.T.) and the Welch Foundation (F-1155) are gratefully acknowledged. Funding from the UT System for support of the UT System Proteomics Core Facility Network is gratefully acknowledged.

Footnotes

The authors declare no competing financial interest.

Supporting Information

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.0c00221.

Figure S1. Laser OFF/ON UVPD TIC, spectra, and ion injection times for PG 16:0/18:1(9Z); Figure S2. HCD spectra of PA 16:0/18:1(9Z), PE 16:0/18:1(9Z), PS 16:0/18:1(9Z), and PI 16:0/18:1(9Z); Figure S3. Fragment ion maps; Figure S4. HCD and UVPD spectra for formate-adducted PC 16:0/18:1(9Z); Tables S1S12. Lists of identified fragment ions with calculated ppm error; Figure S5. HCD spectra of m/z 773.53 and with fragment ion maps from the chromatographic separation of lipid extracts from E. coli, A. baumannii 17989, and A. baumannii 19606; Figure S6. HCD, UVPD, and CID/UVPD spectra of m/z 745.50 from A. baumannii 17989 lipid extract (PDF)

Complete contact information is available at: https://pubs.acs.org/10.1021/acs.analchem.0c00221

Contributor Information

Martin V. Douglass, Department of Infectious Diseases, The University of Georgia, College of Veterinary Medicine, Athens, Georgia 30602, United States

M. Stephen Trent, Department of Infectious Diseases, The University of Georgia, College of Veterinary Medicine, Athens, Georgia 30602, United States; Department of Microbiology, The University of Georgia, College of Arts and Sciences, Athens, Georgia 30602, United States.

Jennifer S. Brodbelt, Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States.

REFERENCES

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting

RESOURCES