|
Advertisement | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Journal of Lipid Research, Vol. 50, 1120-1132, June 2009 A shotgun lipidomics approach in Sinorhizobium meliloti as a tool in functional genomics
* Department of Chemistry, McMaster University, Hamilton, Ontario, Canada Published, JLR Papers in Press, December 18, 2008.
1 To whom correspondence should be addressed. e-mail: mccarry{at}mcmaster.ca
A shotgun lipidomics approach that allowed the analysis of eight lipid classes directly from crude extracts of the soil bacterium Sinorhizobium meliloti is presented. New MS-MS transitions are reported for the analysis of monomethylphosphatidylethanolamines, dimethylphosphatidylethanolamines, and three bacterial non-phosphorus-containing lipid classes [sulfoquinovosyldiacylglycerols, ornithines, and diacylglyceryl-(N,N,N-trimethyl)-homoserines]. Unique MS-MS transitions allowed the analysis of isomeric species from various lipid classes without chromatography. Analyses required small sample amounts and minimal preparation; thus, this methodology has excellent potential to be used as a screening tool for the analysis of large numbers of samples in functional genomics studies. FA distributions within lipid classes of S. meliloti are described for the first time, and the relative positions of fatty acyl substituents (sn-1, sn-2) in phospholipids are presented. FA distributions in diacylglyceryl-(N,N,N-trimethyl)-homoserines were identical to those of phospholipids, indicating a common biosynthetic origin for these lipids. The method was applied to the analysis of mutants deficient in the PhoB regulator protein. Increased lipid cyclopropanation was observed in PhoB-deficient mutants under Pi starvation.
Supplementary key words electrospray ionization tandem mass spectrometry sulfoquinovosyldiacylglycerol diacylglyceryl-(N,N,N-trimethyl)-homoserine ornithine Pi limitation PhoB regulator Abbreviations: CE, collision energy; CID, collision-induced dissociation; CL, cardiolipin; DMPE, dimethylphosphatidylethanolamine; ESI-MS, electrospray mass spectrometry; FAME, fatty acid methyl ester; HPTLC, high-performance TLC; MMPE, monomethylphosphatidylethanolamine; NP, normal phase; OL, ornithine lipid; PC, phosphatidylcholine; PCA, principal components analysis; PE, phosphatidylethanolamine; PG, phosphatidylglycerol; PHB, poly(3-hydroxybutyrate); Pi, inorganic phosphate; RP, reverse phase; SL, sulfoquinovosyldiacylglycerol; TMHS, 1,2-diacylglyceryl-3-O-4'-(N,N,N-trimethyl)-homoserine lipid
Sinorhizobium meliloti is a soil bacterium that transforms atmospheric nitrogen into a form utilizable by leguminous plants such as alfalfa while establishing a beneficial relationship in a process called nitrogen fixation (1, 2). The complete genome of S. meliloti has been annotated; however, the function of more than 40% of genes remains unknown (3, 4). In the past decade, numerous efforts have been directed toward understanding gene function (functional genomics) and the mechanisms by which symbiosis and nitrogen fixation occur (5–8). Our research focuses on the study of genes in S. meliloti that are hypothesized to participate in lipid biosynthesis. Assignments of gene function have been made in most cases by comparing S. meliloti's genome with the genomes of other well-studied organisms, such as Escherichia coli. Comprehensive lipid profiling, also known as lipidomics, has been proposed as a strategy to improve our understanding of lipid metabolism and gene function (9–11). Our approach to understanding gene function employs comparisons of lipid and FA profiles of knockout mutants with those of wild-type strains. Thus, a rapid and comprehensive method for the analysis of lipids in S. meliloti was needed. Analytical methods for comprehensive lipid analysis must provide information regarding: i) lipid classes; ii) molecular species within lipid classes caused by variations of the fatty acyl chains; and iii) the relative locations of the fatty acyl chains in individual lipids (sn-1 vs. sn-2). Typically, methods for intact lipid analysis involve lipid extraction followed by chromatographic separation of lipid classes and their detection by MS. TLC and HPLC (12, 13) are the most common chromatographic techniques, although capillary electrophoresis has also been employed (14). Two-dimensional high-performance TLC (2D-HPTLC) procedures have been used to separate crude lipid extracts into lipid classes (15). Obtaining FA distributions within each lipid class requires removal of TLC spots, extraction into an organic solvent, and analysis of the extract by electrospray mass spectrometry (ESI-MS) or GC-MS. TLC-based methodologies also suffer from losses due to lipid oxidation on the TLC plates, poor extraction recoveries from the silica gel, and slow throughput, making them inconvenient for high-throughput analyses (12, 16). On the other hand, HPLC-based methodologies separate lipids by classes or into their molecular constituents using normal-phase HPLC (NP-HPLC) or reverse-phase HPLC (RP-HPLC), respectively (12). When complete chromatographic separation of both lipid classes and their individual molecular species is desired, a combination of NP-HPLC followed by RP-HPLC has been applied (13, 17, 18). The separation of isomeric species of different lipid classes and chromatographic coelution present major analytical challenges (12). Chromatographic procedures for intact lipid analysis tend to be laborious; moreover, chromatographic methods often suffer from poor lipid recoveries and changes to the distribution of molecular species (16). While HPLC-ESI-MS analysis is currently the most common approach in lipid analysis, Han and Gross (19) demonstrated that phospholipids can be analyzed directly by the infusion of crude lipid extracts under ESI conditions; this approach has been termed "shotgun lipidomics." Shotgun lipidomics uses a combination of MS-MS techniques to differentiate lipid classes by their fragmentation patterns under collision-induced dissociation (CID) (20, 21). This methodology requires small sample amounts and minimal sample preparation, features well suited to functional genomics applications. Tandem mass spectrometric analyses of lipids can provide information regarding not only the nature of the fatty acyl chains but also their relative positions (sn-1 vs. sn-2) in individual lipids (22–24). Therefore, we sought to develop a shotgun lipidomics procedure for the analysis of intact lipids in crude extracts of S. meliloti as a tool for functional genomics studies. Although analyses of intact lipids in S. meliloti have been reported using TLC procedures, FA distributions within lipid classes and the location of FAs in lipids (sn-1 vs. sn-2) have not been reported in S. meliloti.
Cell membranes in S. meliloti are composed of phospholipids that include phosphatidylcholines (PCs,
Reagents N-methyl-N-(trimethylsilyl)trifluoroacetamide and ethyl dodecanoate were obtained from Sigma-Aldrich (St. Louis, MO). All solvents used were HPLC grade (Caledon Labs, Caledon, ON). Phospholipid standards, 1,2-diheneicosanoyl-sn-glycero-3-phosphocholine [PC(21:0/21:0)], 1,2-dimyristoyl-sn-glycero-3-phosphoethanolamine [(PE(14:0/14:0)], and 1,2-dilauroyl-sn-glycero-3-phospho-rac-(1-glycerol) [(PG(12:0/12:0), sodium salt] were purchased from Avanti Polar Lipids (Alabaster, AL).
Bacterial strains and growth conditions
Lipid extraction
Fatty acid methyl ester analysis by GC-MS
Chromatography
MS PCs, DMPEs, MMPEs, and PEs were simultaneously analyzed as their lithiated adducts in the positive-ionization mode using neutral-loss scans of 189 (30), 175, 161, and 147 (22) mass units with a CE of 35 eV. TMHSs and OLs were also analyzed as [M+Li]+ ions using neutral-loss scan of 74 mass units (CE 40 eV) and precursor ion scan of m/z 115 (CE 35 eV), respectively. PGs and SLs were analyzed as their [M-H]– ions in the negative-ionization mode, using precursor ion scans of m/z 153 (21, 31) and 225, respectively (CE 50 eV). One hundred mass spectra were averaged in each mass spectrometry experiment. Peak areas obtained from each MS-MS spectrum were corrected for the 13C isotope effect when the pseudomolecular ion peak overlapped with the M+2 isotopic peak of other lipids (21), then normalized using the peak area of an internal standard. Relative percentage compositions of individual lipid species were obtained for each lipid class using the peak areas normalized to the internal standard in precursor ion or neutral-loss spectra. High-resolution mass spectra were obtained using a Global Ultima Quadrupole Time of Flight Mass Spectrometer (Waters, Manchester, UK). Lipid extracts (CHCl3-MeOH, 1:1, v/v) were infused continuously (1–5 µl/min) via a microelectrospray ionization source. Argon was used as the collision gas.
Statistical analyses
Analysis of PGs: FA substituents, and their relative positions in lipids A typical profile of a crude lipid extract of S. meliloti in negative electrospray ionization in the full-scan mode is presented in Fig. 1A . An internal standard, PG(12:0/12:0), was added to lipid mixtures. The full-scan mode spectrum showed [M-H]– ions corresponding to nine PGs, with major ions at m/z 747.6, 773.6, and 787.6. In addition, other minor peaks that corresponded to four SLs were detected. The CID spectra of the nine PGs (m/z 719.5, 721.5, 745.5, 747.5, 759.5, 761.5, 773.5, 787.5, and 801.6) afforded product ion spectra typical of PGs. All mass spectra showed fragment ions corresponding to carboxylate ions due to losses of the fatty acyl substituents and a weak ion at m/z 153 corresponding to the polar head group, [HO3POCH2C(OH)CH2]– (31). These m/z values were identified as [M-H]– ions of PGs with FA compositions corresponding to PG-32:1, PG-32:0, PG-34:2, PG-34:1, PG-35:2, PG-35:1, PG-36:2, PG-37:2, and PG-38:2, respectively.
Upon CID, [M-H]– ions of PGs typically produce [RCOO]– ions from the loss of FAs in the sn-2 position, which are more abundant than [RCOO]– ions originated from losses of FAs in the sn-1 position (23). Thus, this feature of the product ion spectra of PGs was used to determine the nature of the fatty acyl chains and their relative positions (Table 1 ). Previous studies of total FA composition in S. meliloti by GC-MS analysis (29) greatly facilitated the identification of possible FA combinations for each lipid. The product ion spectra of anionic lipids that contain nonadecenoic acid (19:1) or methyleneoctadecanoic acid (19:0cyclo) yield a [RCOO]– ion at m/z 295.2637, with the same elemental composition of C19H35O2. GC-MS analysis determined that S. meliloti contained methyleneoctadecanoic acid and not nonadecenoic acid (29). The assigments of FAs to the sn-1 or sn-2 position for some minor lipids were ambiguous.
Precursor ion scans of m/z 153 were used to provide complete profiles of PGs in crude lipid extracts of S. meliloti (Fig. 1B). Upon CID fragmentation of [PG-H]– ions, the polar head group ion at m/z 153 was of low abundance. To improve the sensitivity of this MS-MS transition, precursor ion scans of m/z 153 were conducted at CEs of 50 eV. In addition, 100 spectra were routinely collected to improve the S/N ratios, especially for minor PGs; detection limits were in the low picomole range [0.5 pmol/µl for PG(12:0/12:0)]. Although other researchers have also employed precursor ion scans of m/z 153 to profile PGs in crude lipid extracts (21), most methodologies employ chromatographic separations (32–34). We believe that precursor ion scan of m/z 153 is a simpler and faster strategy to profile PGs in bacterial extracts in comparison with chromatographic methods.
Analysis of PCs, PEs, MMPEs, and DMPEs: FA substituents and their relative positions in lipids
In the presence of lithium salts, PCs and PEs form [M+Li]+ ions, which upon CID, produce product ion spectra that contain diagnostic fragment ions for both the polar head group and the fatty acyl groups (22, 24, 30). The lipid profiles of extracts of S. meliloti in the positive-ionization mode in the presence of lithium salts are shown in Fig. 2B; two internal standards were included, PC(21:0/21:0) and PE(14:0/14:0). The addition of lithium significantly simplified lipid profiles by converting the mixture of [M+H]+ and [M+Na]+ ions to [M+Li]+ ions. This can be appreciated when comparing the high number of lipid adducts detected in crude extracts (Table 2), relative to the significantly reduced number of species detected when Li+ was added (Table 3 ).
Product ion spectra of [PC+Li]+ contained unique fragment ions at m/z [PC+Li-59]+ and [PC+Li-189]+ due to neutral losses of N(CH3)3 and [N(CH3)3+LiOPO3(CH2)2], respectively (24). Fatty acyl groups in lipids were determined using fragment ions at m/z [PC+Li-59-RCOOH]+, whereas their relative positions in the glycerol backbone (sn-1, sn-2) were determined by their intensities, because fragment ions originated from the loss of FAs in sn-1 are more intense than those of the sn-2 position (24, 30). The fatty acyl chains and their relative positions in lipids (sn-1 and sn-2) are listed in Table 1. Similarly, product ion spectra of [PE+Li]+ adducts afforded fragment ions of the types [PE+Li-43]+ and [PE+Li-147]+, characteristic of the polar head group of PEs (22). Fragment ions at m/z [PE+Li-43-RCOOH]+ determine fatty acyl groups, and their relative positions in lipids is given by their relative intensities (sn-1 > sn-2) (22). Neutral-loss scans of 189 and 147 mass units, corresponding to the losses of the lithiated polar head groups of PCs and PEs respectively, afforded individual profiles for each lipid class (Fig. 2B, F). Lipid analysis methodologies commonly require either TLC or NP-HPLC followed by RP-HPLC in order to eliminate the coelution of isomeric species of PCs and PEs with various FA compositions (18). MMPEs and DMPEs are typically analyzed using TLC-based methodologies (25). Upon lithium addition to lipid extracts, MMPEs and DMPEs were detected as [M+Li]+, given their chemical structures similar to those of PEs. The characteristic fragment ion of lithiated PEs at m/z [PE+Li-147]+ originates due to the sequential neutral losses of HN(CH2)2 and LiOP(O)(OH)2 (22). Under CID conditions, the lithiated adducts of MMPEs and DMPEs fragmented similarly to [PE+Li]+, a logical result given their chemical structures. [MMPE+Li]+ and [DMPE+Li]+ afforded unique fragment ions at m/z [MMPE+Li-161]+ and [DMPE+Li-175]+, respectively. Most likely, these neutral losses were the result of sequential losses of [CH3N(CH2)2+LiOP(O)(OH)2] and [CH3N(CH2)3+LiOP(O)(OH)2], respectively. Thus, neutral losses of 161 and 175 mass units can be related to the lithiated polar head groups of MMPEs and DMPEs, respectively. Unfortunately, analytical standards of MMPEs and DMPEs are not commercially available to confirm these MS-MS transitions. Neutral-loss scans of 141 and 175 mass units afforded complete lipid profiles of lithiated MMPEs and DMPEs, respectively (Fig. 2D, E). Isomeric species of MMPEs, DMPEs, PEs, and PCs of various FA compositions were present in S. meliloti [e.g., PC-35:2, DMPE-36:2, MMPE-37:2, and PE-38:2 at m/z 778.6 (Table 3)]. Isomeric species cannot be differentiated using high mass resolution MS; additionally, the analysis of isomeric species of PEs, MMPEs, and DMPEs based on chromatographic separation would be challenging. The use of unique MS-MS transitions for lithiated PCs, PEs, MMPEs, and DMPEs originated from differences in their polar head groups provided FA distributions within each lipid class without the need for chromatography.
Analysis of bacterial non-phosphorus-containing lipids: SLs, TMHSs, and OLs OLs contain two amino functions and one carboxylic group; thus [M-H]–, [M+H]+, or [M+Na]+ ions can be observed in electrospray ionization. Geiger and coworkers (25) isolated OLs from lipid extracts of S. meliloti using an HPTLC-based method; two OLs were detected as [M+H]+ ions at m/z 679 and 693, which contained 3-hydroxyoctadecanoic acid with the hydroxyl group esterified to octadecenoic acid or methyleneoctadecanoic acid, respectively (25, 38). The product ion spectra of protonated ornithines typically contain an abundant fragment ion at m/z 115, which is characteristic of ornithine-containing lipids (25, 38, 39). In this study, when crude lipid extracts of S. meliloti were directly infused, we detected peaks of low-abundance ions at m/z 679.4 and 693.5 (Fig. 3A , B). The product ion spectra of these peaks contained abundant fragment ions at m/z 115; thus peaks at m/z 679.4 and 693.5 were identified as OLs.
Because a fragment ion at m/z 115 is common to the MS-MS spectra of OLs, we employed precursor ion scans of m/z 115 to investigate crude lipid extracts (Fig. 3D). In addition to the major OLs at m/z 679.7 and 693.7 identified by Geiger, we detected another six OLs at m/z 651.7, 665.7, 677.7, 691.7, 705.6, and 719.9. These ions corresponded to protonated OLs with FA compositions of 34:1, 35:1, 36:2, 37:2, 38:2, and 39:2. The FA compositions of low-abundance OLs could not be determined, because these ions were only observed in precursor ion spectra. Because three hydroxy FAs (3-hydroxytetradecanoic acid, 3-hydroxyhexadecanoic acid, and 3-hydroxyoctadecanoic acid) (29) can be found in S. meliloti, these OLs could be amides of either of these 3-hydroxy FAs. For example, peaks at m/z 651.7 (OL-34:1) and 665.7 (OL-35:1) could correspond to amides of 3-hydroxyhexadecanoic acid with the hydroxyl function esterified to 18:1 and 19:0cyclo, respectively. However, these OLs could also possibly be amides of 3-hydroxyoctadecanoic acid with the hydroxyl function esterified to 16:1 (OL-34:1) and 17:0cyclo (OL-35:1) FAs, respectively. OLs at m/z 705.6 (OL-38:2) and 719.9 (OL-39:2) most likely are amides of 3-hydroxyoctadecanoic with FAs 20:2 and 21:2, respectively (Table 1). TMHSs are ether-linked glycerolipids with a quaternary ammonion group that resemble PCs (40). TMHSs can be detected as mixtures of [M+H]+ or [M+Na]+ ions similarly to PCs and PEs in positive electrospray ionization. Geiger and coworkers, using a TLC-based procedure, detected two TMHSs in lipid extracts of S. meliloti as their [M+H]+ ions at m/z 764 and 778; these lipids were identified as TMHS-36:2 and TMHS-37:2, respectively (25, 41). When crude lipid extracts of S. meliloti grown under Pi starvation were directly infused, [M+H]+ ions at m/z 764 and 778 for TMHS-36:2 and TMHS-37:2, respectively, were not detected (Fig. 3A). However, other peaks were detected at the expected m/z values for the [M+Na]+ adducts of TMHS-36:2 (m/z 786.6) and TMHS-37:2 (m/z 800.5) (Table 2 and Fig. 3A). Ions at m/z 786.6 and 800.5 could also correspond to [M+H]+ adducts of PC-36:2, DMPE-37:2, MMPE-38:3, PC-37:2, and DMPE-38:2 lipids, which were also detected in lipid extracts of S. meliloti (Table 2). If TMHSs exhibited FA distributions similar to those observed in phospholipids (PCs, PEs, etc.), then considerable mass overlap would occur due to the coexistence of [M+H]+ and [M+Na]+ ions (Table 2). Note that mass resolutions of up to 38,600 would be required to resolve [M+H]+ and [M+Na]+ ions of [PCs+PEs+MMPEs+DMPEs] and TMHSs. Upon addition of lithium to lipid extracts, peaks were detected at the expected m/z values of [M+Li]+ adducts of TMHS-36:2 (m/z 770.7) and TMHS-37:2 (m/z 784.7) lipids (Table 3 and Fig. 3B, insert). Lithium addition eliminated the presence of sodiated TMHSs, which would coelute with protonated species of phospholipids (Table 2); thus, lithiated TMHSs can be easily detected in the presence of lithiated PCs, PEs, MMPEs, and DMPEs without the need for high mass resolution (Table 3). Additionally, the product ion spectra of peaks at m/z 770.7 and 784.7 showed neutral losses of 74 and 87 mass units; therefore, we decided to explore the use of neutral-loss scans of 74 mass units. This MS-MS transition revealed an interesting pattern formed by ions at m/z 742.6, 744.6, 756.6, 758.6, 770.6, 784.6, and 798.7 (Fig. 3C). These ions matched the calculated m/z values for [M+Li]+ ions of TMHSs with FA compositions of 34:2, 34:1, 35:2, 35:1, 36:2, 37:2, and 38:2, respectively (Table 3). In summary, this work applied for the first time the principles of shotgun lipidomics to the analysis of three non-phosphorus-containing lipid classes. This approach provided for the first time complete FA distributions for these lipid classes using a simple and rapid strategy that did not require chromatography.
FA distributions within lipid classes in S. meliloti: effects of Pi starvation
The relative percentage compositions of individual molecular species within lipid classes were obtained using peak areas normalized to the peak area of the internal standard in precursor ion or neutral-loss spectra. The accurate quantitation of phospholipids by ESI-MS is not a simple task, because response factors vary among lipid classes and depend on the type of MS-MS transition used (42). Additionally, response factors vary within a given lipid class with the length of the fatty acyl chains and number of double bonds (43). The use of diluted lipid solutions and the inclusion of two or more internal standards per lipid class have been recommended to minimize the variability of response factors across lipid classes and within lipid classes (21, 43). We used one internal standard per lipid class, which is acceptable for most applications (44). Our technique is appropriate as a screening method for large volumes of samples when control samples (wild type) are compared with treated samples (wild type in different growth conditions or mutants). This is the first work to describe FA distributions within lipid classes in S. meliloti, for both phospholipids and non-phosphorus-containing lipids. The FA profiles of PEs, MMPEs, DMPEs, and PCs were very similar where 36:2 lipids were the most abundant components (45–60%). Lipids with FA composition 36:2 contained two fatty acyl chains of cis-11-octadecenoic acid, which is the most abundant FA in S. meliloti membranes (29). The similarity in the FA distributions in these lipid classes is not surprising, because they are closely related biosynthetically (45). SLs on the other hand, showed different FA distributions given by the presence of abundant species that contained hexadecanoic and hexadecenoic acid (32:1 and 32:0). Lipids with FA compositions of 32:1 and 32:0 were not detected for phospholipids (PEs, MMPEs, DMPEs, PCs). Overall, lipids that contained either 16:1(9) or 16:0 FAs (34:2 and 34:1) were not abundant in phospholipids. PGs are most likely the closest lipid class to SLs from a biosynthetic and biological point of view (46). Lipids that contained 16:1(9) and 16:0 were detected in PGs; however, these species were minor components (2%). Interestingly, hexadecanoic acid was also the most abundant FA found in SLs in other organisms (47, 48). PCA of FA distributions in lipid classes showed from a schematic point of view a biosynthetic relationship among lipid classes (Fig. 4A ). SLs were a distinctive class, whereas phospholipids were spatially arranged following their biosynthetic order as PGs, PEs, MMPEs, DMPEs, and PCs. PCA of FA distributions in lipid classes under Pi starvation conditions also showed an interesting pattern (Fig. 4B). The FA distributions in OLs were strikingly different from those of all other lipid classes; this was not unexpected, because of the different biosynthetic origin of OLs (38). However, TMHSs, a distinctive lipid class synthesized exclusively under Pi starvation, showed profiles that were highly similar to those of phospholipids (Fig. 4B).
Under Pi starvation, a significant increase in lipids that contained cyclopropane FAs in all lipid classes was observed (49). Lipids that contained cis-9,10-methylenehexadecanoic acid and cis-11,12-methyleneoctadecanoic acid (35:2, 35:1, 37:2, 38:2) increased considerably (Table 4). OLs with FA compositions of 37:2 and 37:1 increased significantly under Pi starvation; therefore it is most likely that these lipids contain cyclopropane FAs.
FA distributions within lipid classes in PhoB-deficient mutants
Under Pi-limiting conditions, the lipid profiles of phoB mutants were different from those of the wild type, as expected (Fig. 5 ). The biosynthesis of TMHSs in S. meliloti is PhoB-regulated, inasmuch as PhoB-deficient mutants failed to produce these lipids (25). Using the shotgun lipidomics methodology presented in this work, TMHSs were not detected in PhoB-deficient mutants grown under Pi starvation (Fig. 5). Peaks detected at m/z 770.5 and 784.6 for lithiated TMHS-36:2 and TMHS-37:2 lipids, respectively, were not observed in lipid extracts of PhoB mutants. Furthermore, neutral-loss scans of 74 or 87 mass units did not provide the TMHS profiles that were observed in wild-type cultures grown under Pi starvation (Fig. 3C).
The increased cyclopropanation of lipids observed under Pi starvation in the wild type was more accentuated in PhoB-deficient mutants (see PC-38:2 in Fig. 5). This phenomenon was also observed in total FA composition of PhoB-deficient mutants (Table 5). Under Pi starvation, cyclopropane FAs increased an additional 12% in phoB mutants in comparison with the wild type. Cyclopropane FAs comprised 50% of total FAs in phoB mutants under Pi starvation. Total cyclopropane FAs have also been observed to increase significantly in S. meliloti as a result of increased acidity (49). The extent of lipid cyclopropanation in phoB mutants with Pi starvation was more pronounced than in the wild type under acidic conditions. Increased cyclopropanation of lipids is a stress response observed with Pi starvation and acidity; however, this effect was intensified in PhoB-deficient mutants with Pi starvation.
Most methods for lipid analysis employ HPLC separation schemes (33, 52–55), and when the separation of lipid classes and their molecular components is desired, a combination of NP-HPLC followed by RP-HPLC is needed (12). The research presented here allowed the analysis of eight lipid classes in crude lipid extracts of S. meliloti using a shotgun lipidomics approach. The collection of mass spectrometric techniques described allowed the detection of 58 molecular lipids with little sample preparation and no chromatography. This is the first report to describe FA distributions in lipids and the relative positions of fatty acyl substituents (sn-1, sn-2) in phospholipids in S. meliloti. We also report new mass spectrometric transitions for the analysis of two phospholipid classes (MMPEs and DMPEs) and three nonphospholipid classes (SLs, TMHSs, and OLs). The addition of lithium salts for analyses in positive electrospray ionization afforded simplified lipid profiles by producing only [M+Li]+ ions and provided unique MS-MS transitions for each lipid class, which allowed the analysis of isomeric species (PCs, PEs, MMPEs, and DMPEs) with no chromatography. The sensitivity and specificity of these techniques revealed FA distributions for low-abundance lipid classes such as MMPEs, DMPEs, SLs, and OLs in crude bacterial extracts. This is the first report to use shotgun lipidomics for the analysis of bacterial non-phosphorus-containing lipids such as SLs, TMHSs, and OLs. Normally, the analysis of these lipids requires their isolation via column chromatography or TLC (25, 37, 48, 56–59) and HPLC (60) prior to mass spectrometric detection. FA distributions in these lipid classes are obtained by GC-MS analysis of a chromatographic fraction or TLC spots (47, 48, 56, 61). Typically, these procedures are labor intensive and require milligram amounts of lipids. We demonstrated that profiles for these lipid classes can be obtained from crude extracts using precursor ion scans of m/z 225, m/z 115, and neutral-loss scans of 74 mass units. However, more work needs to be conducted to understand the fragmentation of [M+Li]+ adducts of TMHSs and [M+H]+ adducts of OLs in electrospray ionization. This might require the isolation of these lipids by traditional chromatographic techniques due to the unavailability of analytical standards. Previous lipid analyses of S. meliloti using an HPTLC methodology identified nine lipid classes (25). However, complete FA distributions within lipid classes were not revealed using this methodology, inasmuch as only the most abundant molecular components in a lipid class were detected. This is probably a result of poor recoveries of lipids and differential migration of molecular components in TLC plates (16). In our experience, the recoveries of analytical standards of phospholipids from TLC plates and silica gel columns were lower than when standards or lipid mixtures were infused directly. In contrast to TLC-based protocols that only detected the most abundant molecular species, shotgun lipidomics revealed complete FA distributions within lipid classes, even for low-abundance lipid classes such as OLs and DMPEs (<2%). Because FA biosynthesis and intact lipid biosynthesis are related and highly coordinated processes, knowledge of FA distributions within lipid classes can provide important clues regarding the biosynthetic origin of lipid classes. The complete FA distributions within lipid classes in S. meliloti provided interesting insights into the biosynthetic origin of phospholipids and non-phosphorus-containing lipids. For example, the similarities in FA distributions in TMHSs and phospholipids suggested that TMHSs and phospholipids are synthesized from a common precursor, most likely phosphatidic acid. This was not the case for SLs, which exhibited distinct FA distributions. Therefore, SLs might not be synthesized from the same biochemical precursor as phospholipids and TMHSs. In algae, interestingly, TMHSs and SLs shared the same FA distributions, formed mostly by hexadecanoic acid (48). In contrast, in S. meliloti, TMHSs were closer to phospholipids such as PEs rather than to SLs. Shotgun lipidomics analysis of PhoB-deficient mutants under Pi starvation confirmed the absence of TMHSs, as demonstrated previously using traditional TLC protocols. Additionally, we found that lipid cyclopropanation increased in PhoB-deficient mutants under Pi starvation, indicated by a 25% increase in total cyclopropane FAs. The mechanism for the observed increase in cyclopropanation is not clear, because gene expression studies did not show increased expression of the cyclopropane fatty acyl synthase genes when the cells were grown under Pi-limiting conditions (49). It appears that lipid cyclopropanation is a general stress response, and in the absence of the PhoB regulator, cells are unable to manage stress caused by Pi limitation and therefore are under increased stress.
The shotgun lipidomics approach presented here is a rapid and simple strategy for the screening of large volumes of samples in functional genomics studies. Lipid extracts were prepared from 50 ml of bacterial cultures; however, only 1/20 of samples ( The absolute quantitation of lipids was not achieved in this research. However, this method is suitable for those studies in which a stressed (mutant strain) sample is compared with a control (wild-type strain) sample. The absolute quantitation of lipids remains a future objective of this work, and, therefore, more efforts are required in this area. The quantitation of bacterial non-phosphorus-containing lipids using shotgun lipidomics remains a challenge, inasmuch as analytical standards of these lipids are not available. One disadvantage of the shotgun lipidomics methodology presented here is that CLs were not detected in crude extracts of S. meliloti. CLs have been successfully analyzed as their [M-2H]2– ions with shotgun lipidomics approaches using precursor ion scans of m/z 153; no evidence of ion suppression was observed (21, 62, 63). We were not able to detect these lipids in crude lipid extracts using precursor ion scans of m/z 153. Because CLs are a minor lipid class in S. meliloti, it is possible that these lipids coeluted with PEs or PGs in negative electrospray ionization.
Submitted on
August 19, 2008
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Advertisement | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||