Skip to main content
Frontiers in Microbiology logoLink to Frontiers in Microbiology
. 2018 Aug 14;9:1839. doi: 10.3389/fmicb.2018.01839

Lipid Profile of Xylella fastidiosa Subsp. pauca Associated With the Olive Quick Decline Syndrome

Valeria Scala 1,, Massimo Reverberi 2,, Manuel Salustri 2, Nicoletta Pucci 1, Vanessa Modesti 1, Simone Lucchesi 1, Stefania Loreti 1
PMCID: PMC6102392  PMID: 30154768

Abstract

Lipids, components of the plasma and intracellular membranes as well as of droplets, provide different biological functions related to energy, carbon storage, and stress responses. Bacterial species display diverse membrane composition that changes in response to the different environmental conditions. During plant–pathogen interactions, lipids might have roles in several aspects such as recognition, signal transduction, and downstream responses. Among lipid entities, free fatty acids (FFAs) and their oxidized form, the oxylipins, represent an important class of signaling molecules in host–pathogen perception, especially related to virulence and defense. In bacteria, FFAs (e.g., diffusible signaling factors) and oxylipins have a crucial role in modulating motility, biofilm formation, and virulence. In this study, we explore by LC-TOF and LC-MS/MS the lipid composition of Xylella fastidiosa subsp. pauca strain De Donno in pure culture; some specific lipids (e.g., ornithine lipids and the oxylipin 7,10-diHOME), characteristic of other pathogenic bacteria, were revealed. Nicotiana tabacum was used for testing the ability of this pathogen in producing such lipids in the host. Different lipid compounds present a clear distribution pattern within the infected plant tissues compared to the uninfected ones.

Keywords: lipidome, bacterial plant pathogen, diffusible factors, oxylipins, free fatty acid, lipid signals

Introduction

Among bacterial plant pathogens, Xylella fastidiosa is one of the most dangerous bacteria causing devastating diseases and showing an extensive natural host range. X. fastidiosa, with diverse modalities related to the subspecies and the host, causes different diseases such as Pierce’s Disease (PD) of grapevine, phony peach, leaf scald of plum, citrus variegated chlorosis, olive quick decline, and leaf scorch in almonds, coffee, and oleander (Wells et al., 1987; Hopkins, 1989). Recently, Saponari et al. (2017) assessed the pathogenic role of X. fastidiosa subsp. pauca strain De Donno in olive and other susceptible host plants.

Lipids play important roles at various stages of host–pathogen interactions (van der Meer-Janssen et al., 2010; Siebers et al., 2016; Sohlenkamp and Geiger, 2016) and are crucial in determining the virulence of bacterial pathogens (Martinez and Campos-Gomez, 2016). Free fatty acids (FFAs) might also function as modulators of several pathways in bacterial cell-to-cell communication such as the diffusible signaling factor (DSF). Notably, DSF acts as regulator of biofilm formation and as virulence factor in several plant bacterial pathogens, as for instance X. fastidiosa (Dow, 2017). In X. fastidiosa, the DSF family can also participate in the inter-kingdom communication with plants or insects (vector) (Ionescu et al., 2016). Unsaturated fatty acids (FAs) may also act as substrates for oxidizing enzymes [e.g., lipoxygenases (LOXs) and dioxygenases (DOXs)] forming oxylipins that have been extensively studied in plant–pathogen interaction (Blèe, 2002; Christensen and Kolomiets, 2011). The oxylipins, per se or conjugated with sugars and aminoacids, are bioactive molecules; the oxylipin jasmonic acid and its derivatives in plants mediate hormone-like functions and are involved in defense responses (Jones and Dangl, 2006). Notwithstanding their importance, the role of oxylipins is almost underestimated and understudied in phytopathogenic prokaryotes. Very recently, Martinez and Campos-Gomez (2016) show that the opportunistic bacterial pathogen Pseudomonas aeruginosa may transform monounsaturated FAs into mono- and di-hydroxylated derivatives during its interaction with the host (e.g., lettuce). In this pathogen, the oleic acid-derived oxylipins negatively control the motility of flagella, cause the upregulation of twitching motility and promote bacterial organization in micro colonies and the formation of biofilms in vitro and in vivo, controlling the virulence in the host (Martinez and Campos-Gomez, 2016).

Lipids play important roles in plant disease (Siebers et al., 2016; Sohlenkamp and Geiger, 2016); the membrane lipid compositions can vary among bacterial species depending on the environmental conditions to which the organism is exposed (Giles et al., 2011; Lewenza et al., 2011; Vences-Guzmán et al., 2011; Moser et al., 2014; Sohlenkamp and Geiger, 2016). Glycerophospholipids of the bacterial membranes present a hydrophobic tail composed by two FAs, a glycerol backbone, a hydrophilic head of phosphate and groups such as phosphatidylethanolamine (PE), phosphatidylglycerol (PG), cardiolipin (CL), lysyl-phosphatidylglycerol (LPG), phosphatidylinositol (PI), phosphatidic acid (PA), and phosphatidylserine (PS). Bacterial membranes present also phosphorus-free lipids and notably ornithine/glutamine lipids (O/GlnLs), diacylglyceryl-N,N,N-trimethylhomoserine (DGTS), sulfolipids, monoacylglycerol (MAG), diacylglycerol (DAG), triacylglycerol (TAG), glycolipids (GLs), and hopanoids (BHPs) (Sohlenkamp and Geiger, 2016). Phospholipids can be replaced within the membrane lipids of bacteria with phosphorus-free lipids; this remodeling has been thoroughly studied in Rhodobacter sphaeroides, Sinorhizobium meliloti, Agrobacterium tumefaciens, and Mesorhizobium loti (Benning et al., 1995; Geiger et al., 1999; Zavaleta-Pastor et al., 2010; Devers et al., 2011; Geske et al., 2013; Diercks et al., 2015). Bacterial phosphate-free membrane lipids and in particular OLs and their hydroxylated forms, are important for interaction with plants (Vences-Guzman et al., 2013). Some bacteria form OLs only under phosphorous-limiting conditions; in others, OLs are formed constitutively. Vences-Guzman et al. (2015) estimate that about 50% of the bacteria can produce OL. A mutant of the plant pathogen Agrobacterium fabrum (formerly: A. tumefaciens C58), lacking hydroxy-OL or any OLs, anticipates the formation of tumors that are even bigger than those produced by the wild type upon plant infection. Vences-Guzman et al. (2013) hypothesize that the recognition of OL or hydroxy-OL might elicit plant defense responses; A. fabrum devoid of OL or hydroxy-OL, escape the plant immune system thus inducing an accelerated infection process. In Rhizobium tropici and Burkholderia cepacia, the 2-hydroxylation of OL is also involved in the growth at higher temperature condition (Taylor et al., 1998; Vinuesa et al., 2003; Vences-Guzmán et al., 2011). Among the phosphorus-free membrane lipids, BHPs are present in a wide variety of prokaryota and have structural similarities with eukaryotic sterols (Saenz et al., 2012). BHPs enhance the stability and impermeability of the bacterial membranes. Strains of Burkholderia cenocepacia, defective in BHPs production, display increased sensitivity to low pH, detergents, and various antibiotics and cannot produce flagella (Schmerk et al., 2011). Within phosphorous-containing lipids, some authors demonstrated that PC, which in bacterial membranes might account up to > 20% of total phospholipids (Klüsener et al., 2009), are involved in the virulence of Agrobacterium tumefaciens. Deletion of A. tumefaciens pmtA partly impaired the synthesis of PC, delayed tumor formation that is reduced in size (Wessel et al., 2006). Furthermore, the authors highlight that tumor formation is absent when the host is infected with the PC-free double mutant ΔpmtA and Δpcs of A. tumefaciens. Pseudomonas syringae pv. syringae requires PC for virulence and specifically for secreting, through the type III secretion system, the effector HrpZ (Xiong et al., 2014).

In phytopathogenic bacteria, different type of lipids may drive the compatibility or incompatibility with the host. In relation to this, the present study first investigates by mass spectrometry the lipid composition of X. fastidiosa subsp. pauca strain De Donno under in vitro conditions. This approach allows individuating and identifying several lipid compounds produced by this pathogen in the cell as well as in the culture media. Second, the model plant Nicotiana tabacum was inoculated with this bacterial pathogen. Mass spectrometry analysis shows a differential accumulation of lipid entities among infected and non-infected plants; notably, some FFAs, complex lipids and oxylipins could play a role during plant colonization.

Materials and Methods

Chemicals

The HPLC/MS-grade methanol (MeOH) and isopropyl alcohol (iPrOH) were purchased from Merck (Darmstadt, Germany), and HPLC/MS grade ammonium formate (HCOONH4) was purchased in granular form from Fluka (Buchs SG, Switzerland). Authentic tricosanoic acid (C23:0; MW 355.25 g/mol), deuterated 9-hydroxy-10E,12Z-octadecadienoic acid (9-HODEd4, MW 300.5 g/mol) used as the internal standards (IS), behenic acid (C22:0; MW 340.33), erucic acid (C22:1; MW 338.31), arachidic acid (C20:0; MW 304.24), eicosenoic acid (C20:1; MW 310,28), eicosadienoic acid (C20:2; MW 308.27), non-adecanoic acid (C19:0; MW 298.28), stearic acid (C18:0; MW 284.43), oleic acid (C18:1; MW 282.5), linoleic acid (C18:2; MW 280.45), linolenic acid (C18:3; MW 278.43), heptadecanoic acid (C17:0; MW 270.25), palmitic acid (C16:0; MW 256.42), palmitoleic acid (C16:1; MW 254.41), pentadecanoic acid (C15:0; MW 242.22), tetradecanoic acid (C14:0; MW 228.20), tridecanoic acid (C13:0; MW 214.34), dodecanoic acid (C12:0; MW 200.32), undecanoic acid (C11:0; MW 186.29), trioleoylglycerol (TAG 54:3; MW 884.78), 1,2-dioleoylglycerol (DAG 36:2; MW 620.99), palmitoyl-2-glycerol (MAG 16:0; MW 330.5), 1,2-Dipalmitoyl-sn-glycero-3-phospho-rac-(1-glycerol) (PG 32:0; MW 722.5), 1,2-dinonadecanoyl-sn-glycero-3-phosphocholine (PC 38:0; MW 818.2), and 1,2-diheptadecanoyl-sn-glycero-3-phosphoethanolamine (PE 34:0; MW 719.5) were purchased from Sigma-Aldrich (St. Louis, United States) and Avanti Polar Lipids (Alabaster, United States). Bacteriohopane-32,33,34,35-tetrol (BHT; MW 547.47) and ornithine lipids OL3-OH (18:1/19:1) (MW 691.2) were kindly provided by Dr. Rachel Schwartz-Narbonne (Newcastle University, United Kingdom) and by Dr. Christian Sohlenkamp (Universidad Nacional Autónoma de México). The mixture of standards was dissolved in acetone/MeOH/iPrOH 40/40/20 at the final concentration 2 μM.

Bacterial Strains and Culture Conditions

Xylella fastidiosa subsp. pauca strain De Donno (CFBP 8402) (from here XfCFBP8402) grown for 7 days at 28°C in buffered charcoal yeast extract (BCYE) was harvested from the medium (Wells et al., 1987) and suspended in sterile potassium phosphate buffer (0.05 mM pH 7.2; PBS) to a final concentration of approximately OD600 of 0.5, corresponding to ca. 108 colony forming unit CFU/mL, as reported in Giampetruzzi et al. (2016). Aliquots (100 μL) of this bacterial suspension were used to inoculate PD2 liquid medium (Davis et al., 1980) and grown for 7 and 11 days at 28°C and 100 rpm. A total of 10 independent experiments (n = 6 in each experiment) for the lipid extraction were performed.

Nicotiana tabacum Inoculation

Nicotiana tabacum “Petite Havana SR1” were propagated in a greenhouse as reported in the European Plant Protection Organization (EPPO) Standard PM 7/24 (2) (European Plant Protection Organization, 2016) and prepared before inoculation as described previously (Francis et al., 2008). Briefly, the apical part of the stem was cut while removing the lower juvenile leaves, thus remaining the sole three adult leaves (numbered as 1–3) in the lower portion of the plant. The plants were inoculated with XfCFBP8402 and control plants (named mock) were treated only with the buffer. The inoculum concentration was prepared at approximately 109 CFU/mL. The infections were performed at least in three independent experiments, each comprising infected (n = 20) and mock plants (n = 20). Each plant was inoculated (20 μL bacterial suspension or buffer) in the petioles near the axils of the three healthy adult leaves 1–3. A total of 15 days after inoculation (DAI), the petiole of the first leaf (numbered as 4) above leaves 1–3 was collected from each plant and the DNA was extracted according to the modified DNeasy® Mericon TM Food standard kit (Qiagen) following manufacturers’ instructions. The presence of bacterial DNA was confirmed by real time PCR as indicated by Harper et al. (2010). Among the infected specimens, only the plants positive to XfCFBP8402 were selected for further analysis. The same real time PCR procedure was performed to confirm the mocks as XfCFBP8402-negative. A total of 30 DAI, the first two leaves (numbered as 5 and 6) upon the leaf 4 were collected from at least 15 XfCFBP8402-positive plants (from here named as “Xf-infected”) and grouped in a bulk. The samples were separated in two parts: one (from here named “petiole”) composed by the petioles and central vein and the other (from here named “leaf”) composed of the marginal leaf. Petioles and leaves were lyophilized and ground with liquid nitrogen. The same collection procedure was followed for the mock plants. The bacterial DNA amount in the petioles and leaves of XfCFBP8402-infected samples as well as in the mock samples was evaluated as reported in Modesti et al. (2017). In particular, DNA was extracted using the modified DNeasy® Mericon TM Food standard kit (Qiagen) following the manufacturers’ instructions and amplified by quantitative real time PCR (Harper et al., 2010). Lipid extraction from the petioles and leaves of XfCFBP8402-infected and mock plants was performed as described below.

Lipid Extraction

Lipids were extracted from pelleted cells and lyophilized culture filtrate of XfCFBP8402 at different DAI (7–11 DAI), and from tobacco plants, Xf-infected and mock, at 30 DAI. The internal reference standards tricosanoic acid and 9-HODEd4, for the analysis were added at a final 2-μM concentration. The extraction was performed on pelleted bacterial cells or 30 mL of lyophilized culture filtrate or 20 mg of lyophilized plant material that were extracted with 2 mL of iPrOH: H2O: EtOAc (1:1:3 v/v); butylated hydroxytoluene (0.0025% w/v) was added to avoid oxidation. After centrifugation, the ethyl acetate upper phase was collected in a clear tube and dried with nitrogen. The extraction was repeated on the initial matrix adding 1.2 mL of EtOAc and then vortex-mixing. After centrifugation, the upper phase was recovered and transferred to the collection tube together with the previously extracted fraction, and dried under nitrogen flux. The dried samples were resuspended in MeOH (100 μL).

Nomenclature and Abbreviations Used to Describe Lipid Components

Notation of lipids common to eukaryote and prokaryote such as MAG, DAG, TAG, glycerophosholipids was done as reported in Camera et al. (2010). In relation to bacterial-specific lipids, BHPs was used for indicating the hopanoids while OL was the abbreviation for ornithine lipids (OLs). In these bacterial lipids, the ornithine head group is bound via its Nα–amino group to a 3–OH FA (R1), with a second FA chain (R2) esterified to the 3–OH group of the first FA. Thus, OL3-OH (18:1/19:1) indicates an ornithine esterified with an oleic acid that is subsequently esterified with a non-adecenoic acid (Sohlenkamp and Geiger, 2016). Notation for FAs and oxylipins (OM/D/TrE) is reported as indicating the carbon number (CN) and the number of double bond (DB) equivalents (e.g., C18:1 were oleic acid and HODE hydroxyoctadecenoic, respectively). The short notation for free FA is FFA (Liebisch et al., 2013).

Lipid Analysis

The HPLC runs and accurate mass measurements of lipids were conducted with a G6220A TOF-MS, (Agilent Technologies, United States) equipped with an electrospray interface operating in the negative as well as in positive ion scan mode (m/z 100 1200) as indicated in Camera et al. (2010) (Supplementary Figures S1A,B). Our attention was focused on specific classes of lipids and namely: MAG, DAG, TAG, BHP, OL, some of the most represented phospholipids (i.e., PC, PE, and PG), FFA, and oxylipins.

Some lipid classes were further analyzed (fragmentation analysis) by liquid chromatography (HPLC 1200 series rapid resolution) coupled to the triple quadrupole G6420A (Agilent Technologies, United States) equipped with an electrospray ionization (ESI) source. The same elution conditions (phases, gradient, and column) described above were used.

Several lipid classes were searched through neutral loss (NL) and/or precursor ion mode in the XfCFBP8402 pelleted cells, culture filtrate and plant samples. Specifically, PC can be identified by scanning in positive ion mode for precursors of m/z 184.2 while dehydrated OLs at m/z 115.2 (Supplementary Table S1A). By scanning precursors in negative ion mode it was possible to individuate several species of OLs (precIon at m/z 131.2, Zhang et al., 2009; Moore et al., 2016). PEs were searched by NL at m/z 141.1 (Brügger et al., 1997). Product ion (PI) scan mode was used for characterizing mass fragmentation pattern of several lipid compounds (Supplementary Table S1B). The energies of collision were tailored upon each PI of interest. PE, PC, MAG, OL, and BHP were analyzed in positive ionization with [M+H]+ parent ion. DAG and TAG were analyzed in positive ionization with [M+NH4]+ parent ion. PG were analyzed in negative ionization with [M−H] parent ion.

The single ion monitoring (SIM) analysis aided us in individuating and quantifying the FFA (Supplementary Table S1C) in the samples. Standard curves in the range of 0.1 μM to 4 mM were originated for each FA listed in Supplementary Table S1C. Rate was linear within the range and regression curves [limit of detection (LOD) and limit of quantification (LOQ)] were originated to calculate the exact amount of each FA in real samples (Supplementary Table S2). Further, in plant samples, a multiple reaction monitoring (MRM) method (with the same chromatographic settings) was adopted to analyze the most abundant lipid entities in bacterial cells; the fragmentor voltage (F) and collision energies (CE) were optimized for each compound as previously described. Bacterial and plant samples were analyzed for the presence of oxylipins as reported in Ludovici et al. (2014). Flow injection of authentic standards comparison with the literature (Yang et al., 2009; Strassburg et al., 2012; Ludovici et al., 2014; Martinez and Campos-Gomez, 2016) was used to confirm MRM transitions; for some compounds not reported in previous studies, fragmentation patterns were identified in bacterial cell extracts (e.g., jasmonates; Balcke et al., 2012; Supplementary Figure S2).

The MRM data were processed using the Mass Hunter Quantitative software (B.07.00 version) (Supplementary Table S3A). In Supplementary Table S3B, transitions, collision energy (CE), and fragmentor voltage (F) values are reported for each oxylipin analyzed. The putative structures of the main oxylipins found in our samples are shown in Supplementary Table S3C.

Statistics

Average RT, peak areas, and mass accuracy of identified lipids were calculated for the analyzed samples as indicated in Camera et al. (2010). XLSTAT Version 2015.3.01.19199 (Addinsoft, Paris, France) as statistic package. In each experiment, datasets were pooled and compared using Student’s t-test, and the differences were considered significant when the p-value was < 0.05.

Results

Lipid Profile

The lipidomic profile of cells and cultural filtrate of XfCFBP8402 was acquired at different time intervals of bacterial growth, i.e., 7 and 11 DAI in liquid media (see the Section “Materials and Methods”). Results of TIC chromatogram are reported in Supplementary Figures S1A,B. LC-TOF chromatograms were searched for specific classes of lipids namely, MAG, DAG, TAG, OL, PE, PC, BHPs, FFA, and oxylipins. The analysis was performed basing on referenced data (e.g., Talbot et al., 2003; Han, 2016; Sohlenkamp and Geiger, 2016, inter alia), databases1,2 and by comparison with authentic standards. To assign properly the entities found we followed an approach exploiting MS/MS analysis.

Identification of Acylglycerols

Triacylglycerides

Authentic trioleoylglycerol (TAG 54:3) [M+NH4]+ ions were generated under our chromatography conditions (see the Section “Materials and Methods”); its elemental composition was C57H104NO6 (m/z 902.8175). The extracted ion chromatogram (EIC) of m/z 902.8175 (Supplementary Figure S3A) for TAG 54:3 showed isobaric forms in XfCFBP8402 (cell extracts at 7–11 DAI) at comparable RT (21.6 min). Accordingly to Fauconnot et al. (2004), MS/MS fragments in the PI scans of the standard TAG 54:3 were due to the NL of RCOONH4 for each acyl chain (m/z 603.4) and minor fragments attributable to the oleic acid (Supplementary Figure S3B). PI scans of ions with m/z 902.8 (Supplementary Figure S3C) in XfCFBP8402 cell extracts confirmed their identity as TAG 54:3. TOF analysis showed that the TAG present into XfCFBP8402 cells eluted in the time range 20.9 ± 0.02 to 22.1 ± 0.06 min and ranged from m/z 694.5981 ± 0.0011 (C42H80NO6, TAG 39:2) to m/z 904.8328 ± 0.0005 (C57H110NO6, TAG 54:2). In relation to this, we identified at least 18 TAG families having 0 to 5 DBs (Table 1). Most of the peaks of TAG presenting an asymmetrical peak shape suggested the presence of isobaric TAG species (data not shown) that could derive either from different acyl chains [same acyl chains number (ACN) and DB] or from TAG regioisomers (Fauconnot et al., 2004). In addition to TAG 54:3, other two TAGs (52:2; 48:0) were fragmented for confirming their identities (Supplementary Figures S3D,E). Based on their fragmentation, these TAGs were tentatively assigned as 16:0/18:1/18:1 and 15:0/16:0/17:0, respectively.

Table 1.

Most abundant TAG molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
DB:3
DB:4
DB:5
[M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT
TAG 39 694.5981 20.9
TAG 40 708.6137 21.1
TAG 46 794.7232 21.2
TAG 48 824.7702 21.7 822.7545 21.5 820.7389 21.2 818.7232 21.0
TAG 50 850.7858 21.8 848.7702 21.5 846.7545 21.3
TAG 52 878.8171 22.1 876.8015 21.8 874.7858 21.6 872.7702 21.4
TAG 54 904.8328 22.1 902.8175 21.9 900.8025 21.7 898.7858 21.5

MS/MS experiments have been performed on the m/z highlighted in bold font.

Diacylglycerides

The elemental composition of authentic 1,2-dioleoylglycerol (DAG 36:2) was C39H76NO5 (m/z 638.5723). In XfCFBP8402 cell extracts (7–11 DAI), DAGs isobaric with the standard were present at comparable RT (18.8 min; Supplementary Figure S4A). In agreement with previous reports (Murphy et al., 2007; Hutchins et al., 2008; Camera et al., 2010), DAG 36:2 provide specific fragments caused by the NL of RCOONH4 for each acyl chain (oleic acid; m/z 282.4614) (Supplementary Figure S4B). PI scans of ion with m/z 638.5723 in the pooled samples of XfCFBP8402 cell extracts (7–11 DAI) confirmed its identity as DAG species (18:1/18:1) (Supplementary Figure S4C); in these samples, DAG were eluted between 9.4 ± 0.05 and 19.4 ± 0.07 min with [M+NH4]+ ions ranging from m/z 554.4784 ± 0.0008 (C33H64NO5, DAG 30:2) to m/z 642.6036 ± 0.0006 (C39H80NO5, DAG 36:0). Within this mass range, 13 DAG having 0 to 3 DB occurred (Table 2). In addition, other five DAGs (DAG 32:1, DAG 32:2, DAG 34:2, DAG 36:0, and DAG 36:3) were fragmented for confirming their identities (Supplementary Figures S4D–H). Based on their fragmentation these DAGs were tentatively assigned as 16:1/16:0; 16:1/16:1; 16:1/18:1; 18:0/18:0; 18:2/16:1, respectively.

Table 2.

Most abundant DAG molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
DB:3
[M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT [M+NH4]+ RT
DAG 30 554.4784 9.4
DAG 31 568.4941 10.8
DAG 32 586.4724 18.4 584.5202 17.8 582.5319 17.3
DAG 33 598.5411 14.3 596.5254 13.2
DAG 34 610.5642 18
DAG 35 624.5567 14.8
DAG 36 642.5975 19.4 640.5881 16.2 638.6031 18.8 636.5786 18.2

MS/MS experiments have been performed on the m/z highlighted in bold font.

Monoacylglycerides

The LC-TOF analysis of [M+H]+ ions of the synthetic MAG 16:0 (m/z 331.2772) indicated C19H38O4 as elemental composition. In Supplementary Figure S5A, the EIC of m/z 331.2772 showed in XfCFBP8402 MAG isobaric with the standard at comparable RT (6.3 min). As suggested by Han (2016), MAG 16:0 lost 1 H2O (m/z 313.2) and RCOOH for the acyl chain (m/z 257.2) (Supplementary Figure S5B). This fragmentation pattern was present also in XfCFBP8402 (Supplementary Figure S5C). Within our samples, MAG were eluted between 2.7 ± 0.04 and 16.0 ± 0.05 min with [M+H]+ ions ranging from m/z 323.4182 ± 0.0007 (C17H34O4, MAG 14:1) to m/z 387.6172 ± 0.0004 (C23H46O4, MAG 20:0). Within this mass range, 15 MAG having 0 to 4 DB occurred (Table 3). Most of MAGs were detected as hydrogen adducts with the exception of MAG 14:0, MAG 14:1, MAG 17:0, MAG 19:0 that were detected as sodiated monoacylglycerides. In addition to MAG 16:0 (see above), other two MAG (MAG 18:0, MAG 20:3) within this list (Table 3) were fragmented for confirming their identities (Supplementary Figures S5D,E).

Table 3.

Most abundant MAG molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
DB:3
DB:4
[M+H]+ RT [M+H]+ RT [M+H]+ RT [M+H]+ RT [M+H]+ RT
MAG 14 325.4392 [M+Na]+ 3.2 323.4182 [M+Na]+ 2.7
MAG 16 331.2843 6.3
MAG 17 367.2819 [M+Na]+ 7.6
MAG 18 359.3156 10.6 357.2999 10.2 355.2843 7.9 353.2686 6.4 351.2531 3.3
MAG 19 395.3132 [M+Na]+ 14.9
MAG 20 387.6172 16.0 385.5972 15.9 383.5872 15.0 381.2999 14.0 379.5672 13.4

MS/MS experiments have been performed on the m/z highlighted in bold font.

Identification of Glycerophospholipids

Glycerophospholipids

Authentic 1,2-dipalmitoyl-sn-glycero-3-phospho-rac-(1-glycerol) (PG 16:0/16:0) was analyzed with LC-TOF-MS under conditions specified in the Section “Materials and Methods.” The analysis showed that [M−H] ions were generated prevalently with ESI source suggesting an elemental composition of C38H75O10P for the ion with m/z 721.5025. The EIC at m/z 721.5025 in XfCFBP8402 showed that PG isobaric with the standard was present at comparable RT (14.9 min) (Supplementary Figure S6A). Fragment ions in the PI scans of PG 16:0/16:0 of the standard and of XfCFBP8402 cell extracts were consistent with the loss of palmitic acid (m/z 255.3) (Supplementary Figures S6B,C). Identification of each PG was performed on database1 and through recursive analysis on LC-TOF spectra searched for exact mass. The [M−H] ions of PG in XfCFBP8402 ranged from m/z 453.2259 ± 0.002 (C20H38O9P, PG 14:1) to m/z 775.5495 ± 0.0007 (C42H80O10P, PG 36:1) for a total of 29 PG having 0–2 DB (Table 4). Among these, we characterized four PGs (PG 32:2, PG 32:1, PG 34:2, PG 34:1) for confirming their identities (Supplementary Figures S6D–G). Based on their fragmentation, these PGs were tentatively assigned as 16:1/16:1; 16:0/16:1; 18:1/16:1; 18:1/16:0, respectively.

Table 4.

Most abundant PG molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
[M-H] RT [M-H] RT [M-H] RT
PG 14 453.2259 6.7
PG 16 483.2729 7.9 481.2572 7.1
PG 18 509.2885 8.6
PG 20 539.3355 9.8 537.3198 9.5
PG 21 553.3511 10.2 551.2697
PG 22 567.3668 10.7 565.3511 10.4
PG 26 637.4086 12.4 635.3930 12.4
PG 27 649.4086 12.5
PG 28 663.4243 13.0 661.4379 12.5
PG 29 677.4399 13.4
PG 30 691.4556 13.8
PG 31 705.4701 14.2
PG 32 721.5025 15.0 719.4869 14.6 717.4731 14.0
PG 33 733.5010 15.1 731.4830 14.6
PG 34 747.5229 15.4 745.5039 14.8
PG 35 761.5088 15.8 759.5182 15.2
PG 36 775.5495 16.3 773.5331 15.7

MS/MS experiments have been performed on the m/z highlighted in bold font.

Choline Glycerophospholipids

Mass accuracy and isotope distribution of the [M+NH4]+ ions of the authentic 1,2-dinonadecanoyl-sn-glycero-3-phosphocholine (PC 19:0/19:0) indicated that the elemental composition was C46H96N2O8P for the ion with m/z 836.6899 (Supplementary Figure S7A). Fragment ions (m/z 356.0) in the PI scans of PC 19:0/19:0 of the standard and XfCFBP8402 (Supplementary Figures S7B,C) were consistent with the loss of phosphocholine (m/z 183) and a non-adecanoic acid chain (m/z 298) in agreement with Han (2016). The precursor ion analysis in positive ion mode searching for the [M+H]+ ion of phosphocholine with m/z 184.2 showed that PC was eluted between 14.9 ± 0.02 and 21.5 ± 0.05 min. The [M+H]+ ions of PC in XfCFBP8402 ranged from m/z 650.4762 ± 0.001 (C34H68NO8P, PC 26:0) to m/z 810.6014 ± 0.0004 (C46H84NO8P, PC 38:4) for a total of 20 PCs (Table 5). Two PCs (PC 34:1, PC 34:2) within this list (Table 5) were fragmented for confirming their identities (Supplementary Figures S7D,E) and tentatively assigned as 16:0/18:1; 16:0/18:2, respectively.

Table 5.

Most abundant PC molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
DB:3
DB:4
DB:5
[M+H]+ RT [M+H]+ RT [M+H]+ RT [M+H]+ RT [M+H]+ RT [M+H]+ RT
PC 26 650.4762 14.9
PC 27 662.4762 15.8
PC 28 676.4918 16.3
PC 29 692.5231 16.7 690.5075 16.7 688.4918 16.1
PC 30 706.5388 17.3 704.5231 17.2 702.5075 16.5
PC 31 720.5544 17.6 718.5388 17.5 716.5231 16.9
PC 32 734.5701 19.5 732.5544 19.3
PC 34 760.5857 18.8 758.5701 18.7
PC 36 786.6014 20.1 782.5701 19.7
PC 38 810.6014 21.5 808.5857 21.3

MS/MS experiments have been performed on the m/z highlighted in bold font.

Ethanolamine Glycerophospholipids

In our samples, the [M+H]+ ion of 2-diheptadecanoyl-sn-glycero-3-phosphoethanolamine (PE 34:0; m/z 720.5538; C39H79NO8P) was present at a comparable RT (17.8 min) (Supplementary Figure S8A). For structural elucidation, under positive ion mode we detected fragment ions in the PI scans of the standard PE 17:0/17:0 as well as in XfCFBP8402 cell extracts consistent with the abundant NL of phosphoryl ethanolamine ion (m/z 141.1) (Supplementary Figures S8B,C). The search of NL at m/z 141.1 showed that 7 PEs were eluted between 15.4 ± 0.01 and 18.4 ± 0.02 min in XfCFBP8402 cell extracts. Their [M+H]+ ions ranged from m/z 662.5119 ± 0.0003 (C36H73NO7P, PE O31:1/P31:0) to m/z 732.5538 ± 0.0007 (C40H78NO8P, PE 35:1; Table 6). Six out of seven PEs (PE O31:1/P31:0, PE O32:1/P32:0, PE O33:1/P33:0, PE O34:2/P34:1, PE 34:2, PE 35:1) were fragmented for confirming their identities (Supplementary Figures S8D–I). The “O-” prefix is used to indicate the presence of an alkyl ether substituent, whereas the “P-” prefix is used for the 1Z-alkenyl ether substituent. It was not possible to deduce PE identities since fragmentation did not provide insights in FA composition (loss of ethanolamine).

Table 6.

Most abundant PE molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

DB:0
DB:1
DB:2
[M+H]+ RT [M+H]+ RT [M+H]+ RT
PE O31 662.5119 15.4
PE O32 676.5276 16.6
PE O33 1 690.5432 16.5
PE O34 702.5432 16.9
PE 34 720.5538 17.8 716.5225 17.4
PE 35 732.5538 18.4

MS/MS experiments have been performed on the m/z highlighted in bold font.

Identification of Phosphorus-Free Lipids

Bacteriohopanepolyols (BHPs)

We analyzed our samples for the bacteriohopane-32,33,34,35-tetrol (BHT; m/z 546.4648) that represents the common structural motif among every BHPs. In agreement with previous reports (Spencer-Jones et al., 2015), under positive ion mode, it is possible to detect fragment ions in the PI scans (Supplementary Figures S9A–C) of bacteriohopane-32,33,34,35-tetrol, in the standard as well as in our samples, consistent with the cleavage of the ring-C (i.e., loss of m/z 192 from the side chain; Talbot et al., 2003). In our samples, we found 8 BHPs that were eluted between 15.7 ± 0.03 and 19.7 ± 0.01 min and their [M+H]+ ions ranged from m/z 547.4722 ± 0.0004 (C35H62O4, bacteriohopane-32,33,34,35-tetrol) to m/z 758.7022 ± 0.0005 (C49H91NO4, N-hexadecanoyl-35-aminobacteriohopane-32,33,34-triol) (Table 7). Bacteriohopane-32,33,34,35-tetrol found in XfCFBP8402 cell extracts was fragmented for confirming its identity against the standard (Supplementary Figure S9C).

Table 7.

Most abundant BHP molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

Compound name [M+H]+ Formula RT
methyl-adenosylhopane 676.5271 C41H65N5O3 15.7
bacteriohopane-32,33,34,35-tetrol 547.4722 C35H62O4 16.8
bacteriohopane-31,32,33,34,35-pentol 563.4671 C35H62O5 17.6
bacteriohopane-31,32,33,34-tetrol-35-cyclitol 724.5285 C41H73NO9 17.9
bacteriohopane-,32,33,34, 35-tetrol-glucosamine 708.5410 C41H73NO8 18.2
bacteriohopane-31,32,33,34,35-hexol 579.4665 C35H62O6 18.5
N-hexadecanoyl-35-aminobacteriohopane-32,33,34-triol 758.7022 C49H91NO4 18.5
bacteriohopane-,32,33,34-triol-35-cyclitolguanine 750.5628 C42H75N3O8 19.7

MS/MS experiments have been performed on the m/z highlighted in bold font.

Ornithine-Containing Lipids (OL)

Authentic OL1 15:0-OH/19:0 cyclo was analyzed and its [M+H]+ ion with m/z 651.5186 indicated an elemental composition C39H74N2O5. Both standard and corresponding sample OL (in XfCFBP8402 cell extracts) were subjected to MS/MS fragmentation. In agreement with previous reports (Geske et al., 2013; Escobedo-Hinojosa et al., 2015), under positive ion mode, it is possible to detect fragment ions in the PI scans (Supplementary Figures S10A,B) of the standard OL as well as in our samples. PI scans are consistent with the abundant loss of ornithine (–H2O) (m/z 115.0866) and the NL of the 19:0 cyclo FA resulting in a fragment ion at m/z 369.3081. This OL species was not the most abundant among the OLs of XfCFBP8402. To extend the spectrum of OL within our samples, we performed a precursor ion analysis in positive ion mode searching for the [M+H]+ ion of orn–H2O with m/z 115.1 and of orn+OH with m/z 131.0764. The latter search did not provide any significant results; precursor ion search in positive ion mode of m/z 115.1 showed that OL were eluted between 17.7 ± 0.01 and 19.5 ± 0.02 min. Identification of each OL was performed on available references (Zhang et al., 2009; Geske et al., 2013; Escobedo-Hinojosa et al., 2015) and through recursive analysis on LC-TOF spectra searched for exact masses. The [M+H]+ ions of 11 OLs found in the XfCFBP8402 cell extracts ranged from m/z 651.4760 ± 0.0003 (C39H74N2O5, OL 34:0) to m/z 912.2092 ± 0.0007 (C57H78NO8, OL 52:0; Table 8). Two OLs (OL 34:0, OL 36:0) within this list were fragmented for confirming their identities (Supplementary Figures S10C,D). Based on their fragmentation and on reference available, these OLs were tentatively assigned as OL1 (15:0/19:0 cyclo) and 17:0/19:0.

Table 8.

Most abundant OL molecular ions detected in X. fastidiosa subsp. pauca strain De Donno (abundance cutoff at 103 counts relative intensity).

Compound name [M+H]+ Formula RT
OL 34:0 651.5186 C39H75N2O5 17.7
OL 36:0 680.4838 C41H80N2O5 17.9
OL 38:0 708.5410 C43H84N2O5 18.0
OL 42:3 760.5840 C47H88N2O5 18.0
OL 40:0 737.5628 C45H89N2O5 18.3
OL 42:0 766.5850 C47H94N2O5 18.4
OL 44:0 795.6155 C49H99N2O5 18.5
OL 46:0 824.6258 C51H104N2O5 18.8
OL 48:0 854.1474 C53H109N2O5 18.9
OL 50:0 883.1660 C55H114N2O5 19.2
OL 52:0 912.2092 C57H119N2O5 19.5

MS/MS experiments have been performed on the m/z highlighted in bold font.

Analysis of Specific Lipid Groups

Basing on the lipid entities found above, we measured the relative abundance of several MAG, DAG, TAG, OL, BHP, PG, PC, and PE in the cell extracts of X. fastidiosa CoDiRO strain CFBP8402 at different times of growth (7–11 DAI) (Supplementary Figure S1A,B and Supplementary Table S4). Rough indications provided that MAG and PL fractions prevailed into bacterial cells even if BHPs represented either a significant portion of this list. Within each lipid category, some specific compounds emerged as prevalent; for instance MAG (16:0), (18:0), and (20:3) within monoacylglycerides; DAG 36:5 (18:2/18:3) within diacyliglycerides; TAG 49:0 (15:0/16:0/18:0) and 52:2 (16:0/18:1/18:1) within triacylglycerides; OL1 (15:0/19:0 cyclo) within OL; BHT within BHPs; and PG 32:2 (16:1/16:1) and 34:2 (18:1/16:1), PE 36:3 (18:1/18:2), and PC 34:2 (16:1/18:1) within PL (Supplementary Table S4). The Figure 1 shows that the relative abundance of lipid entities differed significantly among 7 and 11 DAI for the sole PG (p < 0.01) and PE (p < 0.05).

FIGURE 1.

FIGURE 1

Relative abundances of diverse lipid class extracted from X. fastidiosa CoDiRO strain CFBP8402 at different time intervals (7–11 DAI). Bars represent the sum of the ISTD-normalized area of single compounds within each category of lipids. Results are the mean ( ± SE) of 10 independent experiments (n = 6 in each experiments).

Targeted Analysis of FFA and Oxylipins

The FFA profile shows the presence of multiple compounds (Figure 2 and Supplementary Table S5): main FFA was stearic (C18:0), followed per abundance by oleic (C18:1), palmitic acid (C16:0), linoleic (C18:2), and heptadecenoic acid (C17:1). Unsaturated FA (UFA) and polyunsaturated fatty acids (PUFA) such as myristic, palmitoleic, and linolenic acid (C14:0, C16:1, and C18:3, respectively) even if in minor amount were present in our samples. The abundance of the different FFA was similar in cell and in culture filtrate, with the sole exceptions of palmitoleic (XfDSF2) and oleic acid which are more abundant at 11 DAI in the culture filtrate than in the cell extracts (Figure 2). In our samples, we also detected XfDSF1 in trans and cis forms (C14:1 t and c, respectively; Figure 2). Every FFA, significantly (p < 0.001) changed during bacterial growth.

FIGURE 2.

FIGURE 2

Free fatty acids (FFAs) profile of (i) pelleted cells of X. fastidiosa CoDiRO CFBP8402 at different time intervals (7 and 11 DAI) and (ii) culture filtrate harvested at 11 DAI. Results are the mean ( ± SE) of 10 independent experiments (n = 6 in each experiments).

Xylella fastidiosa produced several oxylipins deriving from oleic, linoleic and linolenic acid (Table 9 and Supplementary Table S6). Some oxylipins are produced at significant, micromolar amount, in the bacterial cells as well as in the culture filtrate. In Table 9, we showed the sole oxylipins present in significant amount; a more comprehensive view of the complete profile is reported in Supplementary Table S6. Among the most abundant compound, the products of oxylipins derived from oleic and linoleic acid were dominant. Notably, 10-HOME, 10HpOME (derived from oleic acid), and 12,13-diHOME, 9,10-diHOME, 12,13-epOME, 9,10-epOME (derived from linoleic acid) even with different intra/extra-cell distribution, prevailed over the others oxylipins. Intriguingly, 7,10-diHOME (the major product of 7,10-diol synthase; Estupiñán et al., 2014) shows values < LOQ under in vitro conditions. Other, less represented, oxylipins such as 13-HODE 9-HODE, 8,13-diHODE, 13HOTrE, and methyl jasmonic acid (JA) were found in the cells as well as in the culture filtrate.

Table 9.

Quantification of a defined set of 11 oxylipins into X. fastidiosa CoDiRO CFBP8402 cells and culture filtrate (CF) at 7 and 11 days after inoculation (DAI).

Oxylipins μM
7 DAI_cells 11 DAI_cells 7 DAI_CF 11 DAI_CF
10-HOME 381.5 ± 23.2 181.6 ± 12.2 0.4 ± 0.05 1670.1 ± 18.4
10-HpOME 0.02 ± 0.005 0.04 ± 0.01 7.1 ± 1.2 10.9 ± 1.2
12,13 di HOME < LOQ < LOQ 2.2 ± 0.4 48.1 ± 4.2
9,10-diHOME < LOQ < LOQ 0.2 ± 0.1 0.7 ± 0.1
12,13-epOME 0.01 ± 0.004 0.01 ± 0.002 0.05 ± 0.01 226.9 ± 35.2
9,10-epOME 0.003 ± 0.001 0.002 ± 0.001 0.2 ± 0.1 457.3 ± 50.2
13-HODE 0.005 ± 0.001 0.005 ± 0.001 0.1 ± 0.05 0.09 ± 0.01
9-HODE 0.002 ± 0.0002 0.002 ± 0.0005 0.15 ± 0.05 75.5 ± 8.2
8,13-diHODE < LOQ < LOQ 0.1 ± 0.05 48.2 ± 2.1
13HOTrE < LOQ < LOQ 0.2 ± 0.1 0.003 ± 0.001
Methyl jasmonic acid 0.003 ± 0.001 0.001 ± 0.0002 3.1 ± 0.4 0.03 ± 0.002

Results are the mean (± SE) of 10 independent experiments (n = 6 in each experiments).

Infection of a Model Plant: Nicotiana tabacum

The presence of XfCFBP8402 in experimentally inoculated tobacco tissues was confirmed through real-time qPCR. Its distribution differed significantly (p < 0.001) among petioles and leaves (Figure 3); the pathogen was not detected in the mock plants. In particular, the DNA of XfCFBP8402 was higher in the leaves than in the petioles of Xf-infected plants (Figure 3).

FIGURE 3.

FIGURE 3

qPCR of XfCFBP8402 DNA in the laminar part of the leaf (named leaves) and in the petioles and central vein (named petioles) at 30 DAI. Results represent the average of ng DNA of XfCFBP8402/μg of plant total DNA ± SE of three independent experiments (n = 15, in each experiment).

The lipid profile of the leaves and petioles of the Xf-infected and mock plants was studied. The analysis was focused on those lipid entities that were most abundant in the previous in vitro screening of XfCFBP8402 (see above; Figures 4A–C). The results were reported as the amount of lipid entities in the XfCFBP8402-infected plants compared to uninfected ones (mock). Raw data (relative abundance of each lipid entities into plant tissues) are presented in Supplementary Tables S7–S9.

FIGURE 4.

FIGURE 4

(A) Lipid entities, (B) Free fatty acids (FFAs), and (C) Oxylipins in tobacco petioles and leaves in mock and Xf-infected samples at 30 DAI. Results represent the average of log10 ratio of the fold change in the abundance of the different lipid compounds present in the infected samples compared to mock ± SE of three independent experiments (n = 15, in each experiment).

All the lipids entities analyzed were more abundant in the Xf-infected samples than in the mock; PG 32:1 (16:1/16:0), TAG 52:2 (16:0/18:1/18:1), BHT, and PEs represent the sole exceptions (Figure 4). In particular, PG 32:1 and TAG 52:2 together with OL1 were more abundant in the leaves compared to the petioles (p < 0.001 for each of the three compounds; Figure 4A and Supplementary Table S7).

After 30 DAI, all FFA were more abundant in Xf-infected samples than in the mock, in the leaves as well in the petioles (Figure 4B). In particular, C14:1 (XfDSF1) was particularly abundant in the petioles while the C16:1 (XfDSF2) in the leaves. Other potential DSF emerged within this analysis: C15:1, C17:1 and – most notably – C18:1 (confirming in vitro data – Figure 2).

The Figure 4C shows the oxylipins derived by oxidation of oleic, linoleic and linolenic acid, respectively. In the Figure 4C, the distribution of the oxylipins appeared consistently different between the petioles and the leaves; notably, mostly upregulated in the petiole and downregulated in the leaves. In our experimental conditions, 10-HpOME was more abundant in the petioles than in the leaves; conversely, 7,10-diHOME is more abundant in the leaves than in the petioles. The oxylipins derived by linoleic acid are more abundant in the petioles than in the leaves, made exception 12(13)-epOME and 13-HODE. In the petioles of the Xf-infected plants, 9-HpOTrE is the prevailing oxylipin derived from linolenic acid together with JA, whereas 13-HpOTRE is more abundant in the leaves.

Discussion

Within the last decade, an increasing number of studies identified lipids in phytopathogenic bacteria and described their role in the interaction with the hosts. Lipids are essential constituents of the cells providing different functions ranging from structural to energy storage and signal mediators (Lim et al., 2017). Escherichia coli has been the standard model to study bacterial lipids for years; very recently, Sohlenkamp and Geiger (2016) reported the diversity of membrane lipids in a multitude of eubacteria. This “burst” in lipid surveys in bacteria relies also on the stepping up of analytical methods essentially based on coupling chromatography with mass spectrometry.

In the present study, we have addressed an analytical method integrating exact mass data (LC-TOF) with mass fragmentation (LC-MS/MS) to detect multiple classes of lipids in the XfCFBP8402 associate with severe epidemics in centenarians olive trees in Southern Italy. Currently, a holistic approach is under way for containing this outbreak. Studying the bacterial lipid diversity could aid the individuation of the lipid entities potentially involved in the interaction with host. Through this method, we succeed in evaluating the presence of different TAG, DAG, MAG, PC, PE, OL, OH, BHPs, FFA, and oxylipins in this pathogen. From what we know at present, this is the first report concerning complex lipids, FFA, and oxylipins in CFBP8402. We approached a method providing information on several intra- and extra-cellular lipids of XfCFBP8402 grown under in vitro conditions as well as in planta.

Different authors (Sohlenkamp and Geiger, 2016; Rowlett et al., 2017) report that nutrient availability, accumulation of products of metabolism, pH variation, oxygen levels, biofilm formation, and surface adhesion significantly affect the lipid composition of bacteria grown under in vitro conditions. In our study, we analyze the lipid composition of the bacterial culture at 7 and 11 DAI to check if lipid entities composition change during the growth phase as reported by Feil and Purcell (2001). Notably, within this time frame (7–11 DAI) in our growing conditions, XfCFBP8402 shifts from a planktonic behavior to form the characteristic cell ring at the air-liquid interface. By combining TOF and MS/MS analysis, we succeed in identifying different entities within each lipid class: 18 TAGs, 13 DAGs, 15 MAGs, 29 PGs, 20 PCs, 7 PEs, 8 BHPs, 11 OLs, 23 FFA, and 24 oxylipins, respectively. The relative abundance of MAG, DAG, TAG, OL, BHP, PG, PC, and PE indicated that MAG and PL fractions prevailed in bacterial cells. With current data, we can suggest that lipid changes occurring between 7 and 11 DAI may influence the cells physicochemical properties like membrane-protein topology, inner and outer membrane transport, modulate the interaction among bacterial cells (e.g., quorum sensing), shift from planktonic growth to biofilm formation (Bakholdina et al., 2004; Zhang and Rock, 2008; Bisbiroulas et al., 2011).

The FFA fraction represents either an important reservoir of signal molecules per se or as precursor readily converted to oxylipins (Yaeno et al., 2004; Siebers et al., 2016). Within the class of FFA, DSFs are gaining momentum. DSF families have been described in different bacterial pathogens; these (mono)unsaturated FAs (UFA) are involved in interspecies and inter-kingdom signaling and recognition. In Xylella and Xanthomonas, different authors indicate that DSF signals are fine-tuned during interaction with the host plants since they are recognized as elicitors, thus triggering innate immune response in plants (Torres et al., 2007; Chatterjee et al., 2008a; Kakkar et al., 2015). X. fastidiosa utilizes one or more of such signal molecules to shape its lifestyle depending on cell density (Ionescu et al., 2016; Dow, 2017). In X. fastidiosa, RpfF – a bifunctional crotonase with both dehydratase and thioesterase activities – produces a mixture of DSF species (from C14:1 to C19:1) during the invasion of the xylem of host plants (Wang et al., 2004; Ionescu et al., 2016). X. fastidiosa DSF-deficient mutants are more virulent but less capable of colonizing the insect vector and infecting healthy plants (Newman et al., 2004; Chatterjee et al., 2008b). Currently, at least two DSF, XfDSF1 (C14:1) and XfDSF2 (C16:1) were thoroughly investigated; XfDSF2 is apparently more active as signaling molecule compared to XfDSF1 (Ionescu et al., 2016).

In this paper, we show that in culture filtrate (and in cell extracts as well) of XfCFBP8402 strain, XfDSF2 is more abundant compared to XfDSF1 that, in turn, is more abundant at 7 DAI than 11 DAI of growth. In general, this strain appears competent in producing several UFA (up to C24:1) at least as cell components (FA in complex lipids); indeed, oleic (C18:1) and palmitic acid (C16:1) are the main UFA in FFA fraction. Potentially, other XfDSFs could have a role in different aspects of XfCFBP8402 lifestyle; in fact, both C17:1 and C18:1 accumulate at significant levels in the culture filtrate at 11 DAI. It is suggested elsewhere that different UFAs can have different activities in other strains of X. fastidiosa: from quorum sensing to toxicity (Ionescu et al., 2016).

Moreover, FFA can function as substrates to form oxylipins. The biosynthesis of oxylipins occurs both constitutively and consequently to abiotic and biotic stresses. Oxylipins modulate several processes in prokaryotic and eukaryotic cells. In mammals, plants, and fungi, the biosynthetic pathways and physiological roles of some oxylipins are almost well defined: e.g., prostaglandins in mammals, jasmonates in plants, hydroxy-acids in fungi (Blèe, 2002; Andreou et al., 2009; Christensen and Kolomiets, 2011; Scala et al., 2014). According to the available literature, oxylipins might derive from LOX as well as DOX activities, although they can also be produced by non-enzymatic chemical oxidation of FAs (Christensen and Kolomiets, 2011; Banthiya et al., 2016; Martinez and Campos-Gomez, 2016). For a long time, oxylipins studies had been limited to eukaryotes (Andreou et al., 2009); nevertheless, the first two prokaryotic LOX sequences were described (Vance et al., 2004) and numerous oxylipins were subsequently characterized; some of these oxylipins regulate the host–pathogen interaction (Porta and Rocha-Sosa, 2001). Recently, in P. aeruginosa the cellular function of oxylipins has gained attention. Among these, (10S)-hydroxy-(8E)-octadecenoic acid (10-HOME), and 7S,10S-dihydroxy-(8E)-octadecenoic acid (7,10-diHOME) are depicted as crucial in determining a switch in bacterial lifestyle; namely, these oxylipins are required for biofilm formation when bacteria interacts with host cells (Martinez and Campos-Gomez, 2016). The authors here suggest that the expression of oxylipin forming genes might alter lipid signaling during the interaction with the host, impact biofilm formation, and improve the invasiveness of the bacteria. The simultaneous detection of oxylipins in the cells as well as in the cultural filtrate suggests indeed that although oxygenation may occur inside the cell, oxylipins are transported through the outer membrane and accumulate in the medium (Martinez et al., 2013).

In this paper, we show that different oxylipins deriving from oleic, linoleic, and linolenic acid are detected both in the cells and in the cultural filtrate of X. fastidiosa CoDiRO CFBP8402. Among the most abundant compounds, oxylipins derived from oleic and linolenic acid are dominant. Notably, 10HpOME, 10-HOME, and epOMEs even with different intra/extra-cell distribution prevailed over the others oxylipins. Our results confirm previous findings in P. aeruginosa reporting that oxylipins mainly accumulate in the extracellular medium and synthesis ascribed to DOX and diol synthase activities (Martinez et al., 2013; Martinez and Campos-Gomez, 2016). Other, less represented, oxylipins such as 13-HODE 9-HODE, 8,13-diHODE, 13HOTrE, and methyl jasmonic acid, whose synthesis is related to LOX enzymes (Christensen and Kolomiets, 2011) are found into the cells as well as in the culture filtrate. Intriguingly, the well-known plant stress hormone (Nomura et al., 2005) – methyl jasmonate – is produced and, overall, secreted into consistent amount. This compound could play a role in modulating plant defenses if produced even during plant infection. The evidence that these oxylipins were more abundant in culture filtrate, suggesting their secretion and pave the way for hypothesizing a role in the infection path of X. fastidiosa similar to that played in P. aeruginosa.

The long latency period of X. fastidiosa for the perennial hosts, such as citrus and olive, makes arduous studying this pathogen in planta. Some authors demonstrated that tobacco can be used as model plant for X. fastidiosa subsp. pauca, although different varieties of this Solanacea show different level of infection and symptoms development (Pereira et al., 2017). In our study, N. tabacum Petit Havana SR1 artificially infected with XfCFBP8402 strain is used to monitor the bacterial ability to multiply and spread into tobacco and to study the variation of target lipid entities into XfCFBP8402 infected plants compared to uninfected ones.

The tobacco Xf-infected plants show feeble symptoms after 15 DAI: that are, wrinkling of the lower older leaves along the leaf margin. This wrinkling develops across the leaf’s surface in the interveinal spaces resulting in leaf deformation and in leaf early yellowing (Supplementary Figure S11). The distribution of XfCFBP8402 is diverse within the analyzed tissues: more abundant into leaves (laminar part) than in the petioles (and central vein) of the samples. This scenario is almost clearly illustrated by the lipid profile of the two parts of the leaf. The lipid entities whose abundance varying dramatically upon bacterial infection may be ascribed to both plant and pathogen repertoire with some exception such as the bacterial ornithine lipid OL1 and the hopanoid BHT. Namely, plant change their lipid profile following pathogen attack (Siebers et al., 2016) as well as bacteria reshape their lipids while infecting the host (Torres et al., 2007; Nascimento et al., 2016; Siebers et al., 2016).

Complex lipids (e.g., DAG) as well as FFA (e.g., oleic acid) follow in the petioles and leaves similar trends with some notable exception. For instance, OL1 (OL 15:0-OH/19:0 cyclo) is more abundant in leaf margins; thus, we can here suggest that OL1 may act as Pathogen-Associated Molecular Patterns (PAMP) and trigger plant reactions in this part of the leaf where bacterial load is high (as indicated by qPCR; Vences-Guzman et al., 2013). TAG 52:2 (16:0/18:1/18:1) and PG 32:1 (16:1/16:0) may represent a source of diffusible factors (e.g., C16:1 and 18:1) in presence of lipase activity. X. fastidiosa subsp. fastidiosa strain Temecula1 (causal agent of the PD in grapevine), secretes the lipase LesA during the infection of the host. LesA accumulates, inversely with bacterial titer, in leaf margins and positively contributes to develop PD symptoms such as leaf scorching and chlorosis in grapevine. Notably, LesA decreases, in a gradient-shaped manner, toward the petiole where Xylella formed a biofilm network (Nascimento et al., 2016). According to our evidences, we can suggest that XfCFBP8402 uses lipase and the products of its activity as virulence factors. For instance, starting from PG 32:1 (16:1/16:0), a putative lipase could release C16:1 (XfDSF2) that is actually more abundant in the leaf than in the petiole. Further, Figure 4B shows that different FFA are accumulating in the Xf-infected plants and that the C14:1 (XfDSF1) is more abundant in the petioles than in the leaves (Supplementary Tables S4–S6) suggesting that the two DSF have a different role during the interaction with the host. We can argue that XfDSF1 is associated with the formation of biofilm that should occur within the petiole but not into the leaf margins.

The FFAs, as indicated elsewhere, provide substrates for the formation of oxylipins. Oxylipins are indicators of plant reactions during stress responses (Blèe, 2002; Christensen and Kolomiets, 2011; Scala et al., 2014; Siebers et al., 2016). The oxylipin profile – whose synthesis overview is reported in Figure 5 – is completely different in the two leaf parts: enhanced within the petiole while depressed in the leaves. Notable exceptions (i.e., oxylipins enhanced into leaves) are represented by 7,10-diHOME and, the jasmonic acid precursor, 13-HpOTrE. We should here hypothesize that the first may be produced by XfCFBP8402 similarly to P. aeruginosa where this oxylipin appears playing a critical role in the initial stages of biofilm formation (Martinez and Campos-Gomez, 2016). 13-HpOTrE levels rise during tobacco infection; JAs, indeed, appear at steady state or feebly decreased. We can here speculate that XfCFBP8402 could interfere actively with the JA-pathway for avoiding plant resistance. Further studies are needed to investigate thoroughly the putative role of these molecules in the interaction with the host plants and finding the enzymes involved in their production.

FIGURE 5.

FIGURE 5

Suggested overview of oxylipin pathway in XfCFBP8402. Black font represents oxylipins that were found in the samples and gray font represents oxylipins that were expected in the samples but not found. Continuous lines represent single step in production of the oxylipins, whereas dotted lines indicate the presence of multiple steps to achieve the compounds indicated in figure.

It emerges a scenario in which the complex lipid profile of XfCFBP8402 – partly elucidated in this study – contributes in several ways to its lifestyle and to its relation with the host. In particular, we can here suggest that other DSFs than the already described ones (i.e., XfDSF1 and 2), as well as other lipid entities characterized in this study (e.g., oxylipins), are worth of further investigation in X. fastidiosa pathogenesis. Since the XfCFBP8402 ability to colonize tobacco appears related to the diffusion of lipid factors, it can be argued that lipid entities such as OL1, TAG 52:2, C18:1, and 7,10-diHOME may constitute an arsenal of molecules that actively contribute to plant–pathogen cross-talk.

Author Contributions

VS performed the conception and design, data interpretation, coordination of contributes, and paper preparation and revision. MR performed the experiment management, data interpretation and elaboration, and paper preparation and revision. MS performed the data management and data acquisition. NP performed the plant infection experiment management and paper revision. VM performed the PCR data acquisition and interpretation. SLu performed the plant infection data acquisition. SLo performed the conception and design, data interpretation, and paper preparation and revision.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank A. L’Aurora for the technical assistance associated with the work and L. Faino for helping with the critical revision of the manuscript.

Funding. The work has been funded by the European Union Horizon 2020 research and innovation program under the grants agreement no. 727987 XF-ACTORS (Xylella fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy the mass spectrometer QQQ 6420 Agilent Technologies was acquired by funding from Sapienza “medie attrezzature” – C26G14XYEX).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2018.01839/full#supplementary-material

References

  1. Andreou A., Brodhun F., Feussner I. (2009). Biosynthesis of oxylipins in non-mammals. Prog. Lipid Res. 48 148–170. 10.1016/j.plipres.2009.02.002 [DOI] [PubMed] [Google Scholar]
  2. Bakholdina S. I., Sanina N. M., Krasikova I. N., Popova O. B., Solov’eva T. F. (2004). The impact of abiotic factors (temperature and glucose) on physicochemical properties of lipids from Yersinia pseudotuberculosis. Biochimie 86 875–881. 10.1016/j.biochi.2004.10.011 [DOI] [PubMed] [Google Scholar]
  3. Balcke G. U., Handrick V., Bergau N., Fichtner M., Henning A., Stellmach H., et al. (2012). An UPLC-MS/MS method for highly sensitive high-throughput analysis of phytohormones in plant tissues. Plant Methods 8:47. 10.1186/1746-4811-8-47 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Banthiya S., Kalms J., Galemou Yoga E., Ivanov I., Carpena X., Hamberg M., et al. (2016). Structural and functional basis of phospholipid oxygenase activity of bacterial lipoxygenase from Pseudomonas aeruginosa. Biochim. Biophys. Acta 1861 1681–1692. 10.1016/j.bbalip.2016.08.002 [DOI] [PubMed] [Google Scholar]
  5. Benning C., Huang Z. H., Gage D. A. (1995). Accumulation of a novel glycolipid and a betaine lipid in cells of Rhodobacter sphaeroides grown under phosphate limitation. Arch. Biochem. Biophys. 317 103–111. 10.1006/abbi.1995.1141 [DOI] [PubMed] [Google Scholar]
  6. Bisbiroulas P., Psylou M., Iliopoulou I., Diakogiannis I., Berberi A., Mastronicolis S. (2011). Adaptational changes in cellular phospholipids and fatty acid composition of the food pathogen Listeria monocytogenes as a stress response to disinfectant sanitizer benzalkonium chloride. Lett. Appl. Microbiol. 52 275–280. 10.1111/j.1472-765X.2010.02995.x [DOI] [PubMed] [Google Scholar]
  7. Blèe E. (2002). Impact of phyto-oxylipins in plant defense. Trends Plant Sci. 7 315–322. 10.1016/S1360-1385(02)02290-2 [DOI] [PubMed] [Google Scholar]
  8. Brügger B., Erben G., Sandhoff R., Wieland F. T., Lehmann W. D. (1997). Quantitative analysis of biological membrane lipids at the low picomole level by nano-electrospray ionization tandem mass spectrometry. .Proc. Natl. Acad. Sci. U.S.A. 94 2339–2344. 10.1073/pnas.94.6.2339 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Camera E., Ludovici M., Galante M., Sinagra J. L., Picardo M. (2010). Comprehensive analysis of the major lipid classes in sebum by rapid resolution high-performance liquid chromatography and electrospray mass spectrometry. J. Lipid Res. 51 3377–3388. 10.1194/jlr.D008391 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chatterjee S., Newman K. L., Lindow S. E. (2008a). Cell to-cell signaling in Xylella fastidiosa suppresses movement and xylem vessel colonization in grape. Mol. Plant Microbe Interact. 21 1309–1315. 10.1094/MPMI-21-10-1309 [DOI] [PubMed] [Google Scholar]
  11. Chatterjee S., Wistrom C., Lindow S. E. (2008b). A cell-cell signaling sensor is required for virulence and insect transmission of Xylella fastidiosa. Proc. Natl. Acad. Sci. U.S.A. 105 2670–2675. 10.1073/pnas.0712236105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Christensen S. A., Kolomiets M. V. (2011). The lipid language of plant-fungal interactions. Fungal Gene. Biol. 48 4–14. 10.1016/j.fgb.2010.05.005 [DOI] [PubMed] [Google Scholar]
  13. Davis M. J., Purcell A. H., Thomson S. V. (1980). Isolation medium for the Pierce’s disease bacterium. Phytopathology 70 425–429. 10.1016/j.fgb.2010.05.005 [DOI] [PubMed] [Google Scholar]
  14. Devers E. A., Wewer V., Dombrink I., Dörmann P., Hölzl G. (2011). A processive glycosyltransferase involved in glycolipid synthesis during phosphate deprivation in Mesorhizobium loti. J. Bacteriol. 193 1377–1384. 10.1128/JB.00768-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Diercks H., Semeniuk A., Gisch N., Moll H., Duda K. A., Hölzl G. (2015). Accumulation of novel glycolipids and ornithine lipids in Mesorhizobium loti under phosphate deprivation. J. Bacteriol. 197 497–509. 10.1128/JB.02004-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Dow J. M. (2017). Diffusible signal factor-dependent quorum sensing in pathogenic bacteria and its exploitation for disease control. J. Appl. Microbiol. 122 2–11. 10.1111/jam.13307 [DOI] [PubMed] [Google Scholar]
  17. Escobedo-Hinojosa W. I., Vences Guzmán M. A., Schubotz F., Sandoval-Calderón M., Summons R. E., López-Lara I. M., et al. (2015). OlsG (Sinac_1600) is an ornithine lipid N-methyltransferase from the planctomycete Singulisphaera acidiphila. J. Biol. Chem. 290 15102–15111. 10.1074/jbc.M115.639575 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Estupiñán M., Diaz P., Manresa A. (2014). Unveiling the genes responsible for the unique Pseudomonas aeruginosa oleate-diol synthase activity. Biochim. Biophys. Acta 1841 1360–1371. 10.1016/j.bbalip.2014.06.010 [DOI] [PubMed] [Google Scholar]
  19. European Plant and Protection Organization (2016). PM7/24 (2) Xylella fastidiosa. EPPO Bull. 46 463–500. 10.1016/j.bbalip.2014.06.010 [DOI] [PubMed] [Google Scholar]
  20. Fauconnot L., Hau J., Aeschlimann J. M., Fay L. B., Dionisi F. (2004). Quantitative analysis of triacylglycerol regioisomers in fats and oils using reversed-phase high-performance liquid chromatography and atmospheric pressure chemical ionization mass spectrometry. Rapid Commun. Mass Spectrom. 18 218–224. 10.1002/rcm.1317 [DOI] [PubMed] [Google Scholar]
  21. Feil H., Purcell A. H. (2001). Temperature-dependent growth and survival of Xylella fastidiosa in Vitro and in potted grapevines. Plant Dis. 85 1230–1234. 10.1094/PDIS.2001.85.12.1230 [DOI] [PubMed] [Google Scholar]
  22. Francis M., Civerolo E. L., Bruening G. (2008). Improved bioassay of Xylella fastidiosa using Nicotiana tabacum cultivar SR1. Plant Dis. 92 14–20. 10.1094/PDIS-92-1-0014 [DOI] [PubMed] [Google Scholar]
  23. Geiger O., Rohrs V., Weissenmayer B., Finan T. M., Thomas-Oates J. E. (1999). The regulator gene phoB mediates phosphate stress-controlled synthesis of the membrane lipid diacylglyceryl-N,N,N-trimethylhomoserine in Rhizobium (Sinorhizobium) meliloti. Mol. Microbiol. 32 63–73. 10.1046/j.1365-2958.1999.01325.x [DOI] [PubMed] [Google Scholar]
  24. Geske T., Vom Dorp K., Dörmann P., Hölzl G. (2013). Accumulation of glycolipids and other non-phosphorous lipids in Agrobacterium tumefaciens grown under phosphate deprivation. Glycobiology 23 69–80. 10.1093/glycob/cws124 [DOI] [PubMed] [Google Scholar]
  25. Giampetruzzi A., Morelli M., Saponari M., Loconsole G., Chiumenti M., Boscia D., et al. (2016). Transcriptome profiling of two olive cultivars in response to infection by the CoDiRO strain of Xylella fastidiosa subsp. pauca. BMC Genomics 17:475. 10.1186/s12864-016-2833-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Giles D. K., Hankins J. V., Guan Z., Trent M. S. (2011). Remodelling of the Vibrio cholerae membrane by incorporation of exogenous fatty acids from host and aquatic environments. Mol. Microbiol. 79 716–728. 10.1111/j.1365-2958.2010.07476.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Han X. (2016). Lipidomics: Comprehensive Mass Spectrometry of Lipids. Hoboken, NJ: John Wiley & Sons, Inc. 10.1002/9781119085263.ch5 [DOI] [Google Scholar]
  28. Harper S. J., Ward L. I., Clover G. R. G. (2010). Development of LAMP and Real-Time PCR methods for the rapid detection of Xylella fastidiosa for quarantine and field applications. Phytopathology 100 1282–1288. 10.1094/PHYTO-06-10-0168 [DOI] [PubMed] [Google Scholar]
  29. Hopkins D. L. (1989). Xylella fastidiosa: xylem-limited bacterial pathogen of plants. Annu. Rev. Phytopathol. 27 271–290. 10.1146/annurev.py.27.090189.001415 [DOI] [PubMed] [Google Scholar]
  30. Hutchins P. M., Barkley R. M., Murphy R. C. (2008). Separation of non polar neutral lipids by normal phase chromatography and analysis by electrospray ionization mass spectrometry. J. Lipid Res. 49 804–813. 10.1194/jlr.M700521-JLR200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Ionescu M., Yokota K., Antonova E., Garcia A., Beaulieu E., Hayes T., et al. (2016). Promiscuous diffusible signal factor production and responsiveness of the Xylella fastidiosa Rpf system. mBio 7:e01054-16. 10.1128/mBio.01054-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Jones J. D. G., Dangl J. L. (2006). The plant immune system. Nature 444 323–329. 10.1038/nature05286 [DOI] [PubMed] [Google Scholar]
  33. Kakkar A., Nizampatnam N. R., Kondreddy A., Pradhan B. B., Chatterjee S. (2015). Xanthomonas campestris cell-cell signalling molecule DSF (diffusible signal factor) elicits innate immunity in plants and is suppressed by the exopolysaccharide xanthan. J. Exp. Bot. 66 6697–6714. 10.1093/jxb/erv377 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Klüsener S., Aktas M., Thormann K. M., Wessel M., Narberhaus F. (2009). Expression and physiological relevance of Agrobacterium tumefaciens phosphatidylcholine biosynthesis genes. J. Bacteriol. 191 365–374. 10.1128/JB.01183-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Lewenza S., Falsafi R., Bains M., Rohs P., Stupak J., Sprott G. D., et al. (2011). The olsA gene mediates the synthesis of an ornithine lipid in Pseudomonas aeruginosa during growth under phosphate-limiting conditions, but is not involved in antimicrobial peptide susceptibility. FEMS Microbiol. Lett. 320 95–102. 10.1111/j.1574-6968.2011.02295.x [DOI] [PubMed] [Google Scholar]
  36. Liebisch G., Vizcaíno J. A., Köfeler H., Trötzmülle M., Griffiths W. J., Schmitz G., et al. (2013). Shorthand notation for lipid structures derived from mass spectrometry. J. Lipid Res. 54 1523–1530. 10.1194/jlr.M033506 [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Lim G. H., Singhal R., Kachroo A., Kachroo P. (2017). Fatty acid- and lipid-mediated signaling in plant defense. Annu. Rev. Phytopathol. 55 505–536. 10.1146/annurev-phyto-080516-035406 [DOI] [PubMed] [Google Scholar]
  38. Ludovici M., Ialongo C., Reverberi M., Beccaccioli M., Scarpari M., Scala V. (2014). Quantitative profiling of oxylipins through comprehensive LC-MS/MS analysis of Fusarium verticillioides and maize kernels. Food Addit. Contam. Part A Chem. Anal. Control. Expo. Risk Assess. 31 2026–2033. 10.1080/19440049.2014.968810 [DOI] [PubMed] [Google Scholar]
  39. Martinez E., Campos-Gomez J. (2016). Oxylipins produced by Pseudomonas aeruginosa promote biofilm formation and virulence. Nat. Commun. 7:13823. 10.1038/ncomms13823 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Martinez E., Estupiñán M., Pastor F. I., Busquets M., Díaz P., Manresa A. (2013). Functional characterization of ExFadLO, an outer membrane protein required for exporting oxygenated long-chain fatty acids in Pseudomonas aeruginosa. Biochimie 95 290–298. 10.1016/j.biochi.2012.09.032 [DOI] [PubMed] [Google Scholar]
  41. Modesti V., Pucci N., Lucchesi S., Campus L., Loreti S. (2017). Experience of the latium region (Central Italy) as a pest-free area for monitoring of Xylella fastidiosa: distinctive features of molecular diagnostic methods. Eur. J. Plant Pathol. 148 557–566. 10.1007/s10658-016-1111-7 [DOI] [Google Scholar]
  42. Moore E. K., Hopmans E. C., Rijpstra W. I. C., Villanueva L., Sinninghe Damsté J. S. (2016). Elucidation and identification of amino acid containing membrane lipids using liquid chromatography/high-resolution mass spectrometry. Rapid Commun. Mass Spectrom. 30 739–750. 10.1002/rcm.7503 [DOI] [PubMed] [Google Scholar]
  43. Moser R., Aktas M., Fritz C., Narberhaus F. (2014). Discovery of a bifunctional cardiolipin/phosphatidylethanolamine synthase in bacteria. Mol. Microbiol. 92 959–972. 10.1111/mmi.12603 [DOI] [PubMed] [Google Scholar]
  44. Murphy R. C., James P. F., McAnoy A. M., Krank J., Duchoslav E., Barkley R. M. (2007). Detection of the abundance of diacylglycerol and triacylglycerol molecular species in cells using neutral loss mass spectrometry. Anal. Biochem. 366 59–70. 10.1016/j.ab.2007.03.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Nascimento R., Gouran H., Chakraborty S., Gillespie H. W., Almeida-Souza H. O., Tu A., et al. (2016). The type II secreted lipase/esterase lesa is a key virulence factor required for Xylella fastidiosa pathogenesis in grapevines. Sci. Rep. 6:18598. 10.1038/srep18598 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Newman K. L., Almeida R. P., Purcell A. H., Lindow S. E. (2004). Cell-cell signaling controls Xylella fastidiosa interactions with both insects and plants. Proc. Natl. Acad. Sci. U.S.A. 101 1737–1742. 10.1073/pnas.0308399100 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Nomura K., Melotto M., He S. Y. (2005). Suppression of host defense in compatible plant-Pseudomonas syringae interactions. Curr. Opin. Plant Biol. 8 361–368. 10.1016/j.pbi.2005.05.005 [DOI] [PubMed] [Google Scholar]
  48. Pereira W. E. L., Fischer E., Souza-Neto R. R., Saldarelli P., Saponari M., Coletta-Filho H. D., et al. (2017). Characterization of Nicotiana tabacum as an Alternative Host for X. Fastidiosa Subsp. Pauca. Book of Abstract, 40. Abstract Retrieved From European Conference on Xylella fastidiosa 2017. https://www.efsa.europa.eu/en/events/event/171113 [Google Scholar]
  49. Porta H., Rocha-Sosa M. (2001). Lipoxygenase in bacteria: a horizontal transfer event? Microbiology 147 3199–3200. 10.1099/00221287-147-12-3199 [DOI] [PubMed] [Google Scholar]
  50. Rowlett V. W., Mallampalli V. K. P. S., Karlstaedt A., Dowhan W., Taegtmeyer H., Margolin W., et al. (2017). Impact of membrane phospholipid alterations in Escherichia coli on cellular function and bacterial stress adaptation. J. Bacteriol. 199:e00849-16. 10.1128/JB.00849-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Saenz J. P., Sezgin E., Schwille P., Simons K. (2012). Functional convergence of hopanoids and sterols in membrane ordering. Proc. Natl. Acad. Sci. U.S.A. 109 14236–14240. 10.1073/pnas.1212141109 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Saponari M., Boscia D., Altamura G., Loconsole G., Zicca S., D’Attoma G., et al. (2017). Isolation and pathogenicity of Xylella fastidiosa associated to the olive quick decline syndrome in southern Italy. Sci. Rep. 7:17723. 10.1038/s41598-017-17957-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Scala V., Giorni P., Cirlini M., Ludovici M., Visentin I., Cardinale F., et al. (2014). LDS1-produced oxylipins are negative regulators of growth, conidiation and fumonisin synthesis in the fungal maize pathogen Fusarium verticillioides. Front. Microbiol. 5:669. 10.3389/fmicb.2014.00669 [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Schmerk C. L., Bernards M. A., Valvano M. A. (2011). Hopanoid production is required for low-pH tolerance, antimicrobial resistance, and motility in Burkholderia cenocepacia. J. Bacteriol. 193 6712–6723. 10.1128/JB.05979-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Siebers M., Brands M., Wewer V., Duan Y., Hölzl G., Dörmann P. (2016). Lipids in plant-microbe interactions. Biochim. Biophys. Acta 1861 1379–1395. 10.1016/j.bbalip.2016.02.021 [DOI] [PubMed] [Google Scholar]
  56. Sohlenkamp C., Geiger O. (2016). Bacterial membrane lipids: diversity in structures and pathways. FEMS Microbiol. Rev. 40 133–159. 10.1093/femsre/fuv008 [DOI] [PubMed] [Google Scholar]
  57. Spencer-Jones C. L., Wagner T., Dinga B. J., Schefuss E., Mann P. J., Poulsen J. R., et al. (2015). Bacteriohopanepolyols in tropical soils and sediments from the Congo river catchment area. Org. Geochem. 89-90, 1–13. 10.1016/j.orggeochem.2015.09.003 [DOI] [Google Scholar]
  58. Strassburg K., Huijbrechts A. M., Kortekaas K. A., Lindeman J. H., Pedersen T. L., Dane A., et al. (2012). Quantitative profiling of oxylipins through comprehensive LC-MS/MS analysis: application in cardiac surgery. Anal. Bioanal. Chem. 404 1413–1426. 10.1007/s00216-012-6226-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Talbot H. M., Summons R., Jahnke L., Farrimond P. (2003). Characteristic fragmentation of bacteriohopanepolyols during atmospheric pressure chemical ionisation liquid chromatography/ion trap mass spectrometry. Rapid Commun. Mass Spectrom. 17 2788–2796. 10.1002/rcm.1265 [DOI] [PubMed] [Google Scholar]
  60. Taylor C. J., Anderson A. J., Wilkinson S. G. (1998). Phenotypic variation of lipid composition in Burkholderia cepacia: a response to increased growth temperature is a greater content of 2-hydroxy acids in phosphatidylethanolamine and ornithine amide lipid. Microbiology 144 1737–1745. 10.1099/00221287-144-7-1737 [DOI] [PubMed] [Google Scholar]
  61. Torres P. S., Malamud F., Rigano L. A., Russo D. M., Marano M. R., Castagnaro A. P., et al. (2007). Controlled synthesis of the DSF cell-cell signal is required for biofilm formation and virulence in Xanthomonas campestris. Environ. Microbiol. 9 2101–2109. 10.1111/j.1462-2920.2007.01332.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. van der Meer-Janssen Y. P., van Galen J., Batenburg J. J., Helms J. B. (2010). Lipids in host-pathogen interactions: pathogens exploit the complexity of the host cell lipidome. Prog. Lipid Res. 49 1–26. 10.1016/j.plipres.2009.07.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Vance R. E., Hong S., Gronert K., Serhan C. N., Mekalanos J. J. (2004). The opportunistic pathogen Pseudomonas aeruginosa carries a secretable arachidonate 15-lipoxygenase. Proc. Natl. Acad. Sci. U.S.A. 101 2135–2139. 10.1073/pnas.0307308101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Vences-Guzman M. A., Guan Z., Bermudez-Barrientos J. R., Geiger O., Sohlenkamp C. (2013). Agrobacteria lacking ornithine lipids induce more rapid tumour formation. Environ. Microbiol. 15 895–906. 10.1111/j.1462-2920.2012.02867.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Vences-Guzman M. A., Guan Z., Escobedo-Hinojosa W. I., Bermúdez-Barrientos J. R., Geiger O., Sohlenkamp C. (2015). Discovery of a bifunctional acyltransferase responsible for ornithine lipid synthesis in Serratia proteamaculans. Environ. Microbiol. 17 1487–1496. 10.1111/1462-2920.12562 [DOI] [PubMed] [Google Scholar]
  66. Vences-Guzmán M. A., Guan Z., Ormeno-Orrillo E., González-Silva N., López-Lara I. M., Martïnez-Romero E. (2011). Hydroxylated ornithine lipids increase stress tolerance in Rhizobium tropici CIAT899. Mol. Microbiol. 79 1496–1514. 10.1111/j.1365-2958.2011.07535.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Vinuesa P., Neumann-Silkow F., Pacios-Bras C., Spaink H. P., Martínez-Romero E., Werner D. (2003). Genetic analysis of a pH-regulated operon from Rhizobium tropici CIAT899 involved in acid tolerance and nodulation competitiveness. Mol. Plant Microbe Ineract. 16 159–168. 10.1094/MPMI.2003.16.2.159 [DOI] [PubMed] [Google Scholar]
  68. Wang L. H., He Y., Gao Y., Wu J. E., Dong Y. H., He C., et al. (2004). A bacterial cell-cell communication signal with cross-kingdom structural analogues. Mol. Microbiol. 51 903–912. 10.1046/j.1365-2958.2003.03883.x [DOI] [PubMed] [Google Scholar]
  69. Wells J. M., Raju B. C., Hung H., Weisburg W. G., Mandelco-Paul L., Brenner D. J. (1987). Xylella fastidiosa gen. nov., sp. nov.: gram-negative, xylem-limited, fastidious plant bacteria related to Xanthomonas spp. Int. J. Syst. Bacteriol. 37 136–143. 10.1099/00207713-37-2-136 [DOI] [Google Scholar]
  70. Wessel M., Klüsener S., Gödeke J., Fritz C., Hacker S., Narberhaus F. (2006). Virulence of Agrobacterium tumefaciens requires phosphatidylcholine in the bacterial membrane. Mol. Microbiol. 62 906–915. 10.1111/j.1365-2958.2006.05425.x [DOI] [PubMed] [Google Scholar]
  71. Xiong M., Long D., He H., Li Y., Li Y., Wang X. (2014). Phosphatidylcholine synthesis is essential for HrpZ harpin secretion in plant pathogenic Pseudomonas syringae and non-pathogenic Pseudomonas sp. 593. Microbiol. Res. 169 196–204. 10.1016/j.micres.2013.06.009 [DOI] [PubMed] [Google Scholar]
  72. Yaeno T., Matsuba O., Iba K. (2004). Role of chloroplast trienoic fatty acids in plant disease defense responses. Plant J. 40 931–941. 10.1111/j.1365-313X.2004.02260.x [DOI] [PubMed] [Google Scholar]
  73. Yang J., Schmelzer K., Georgi K., Hammock B. D. (2009). Quantitative profiling method for oxylipin metabolome by liquid chromatography electrospray ionization tandem mass spectrometry. Anal. Chem. 81 8085–8093. 10.1021/ac901282n [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Zavaleta-Pastor M., Sohlenkamp C., Gao J. L., Guan Z., Zaheer R., Finan T. M., et al. (2010). Sinorhizobium meliloti phospholipase C required for lipid remodeling during phosphorus limitation. Proc. Natl. Acad. Sci. U.S.A. 107 302–307. 10.1073/pnas.0912930107 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Zhang X., Ferguson-Miller S. M., Reid G. E. (2009). Characterization of ornithine and glutamine lipids extracted from cell membranes of Rhodobacter sphaeroides. J. Am. Soc. Mass Spectrom. 20 198–212. 10.1016/j.jasms.2008.08.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Zhang Y. M., Rock C. O. (2008). Membrane lipid homeostasis in bacteria. Nat. Rev. Microbiol. 6 222–233. 10.1038/nrmicro1839 [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials


Articles from Frontiers in Microbiology are provided here courtesy of Frontiers Media SA

RESOURCES