Fatty acid biosynthesis is an attractive antibiotic target, as it affects the supply of membrane phospholipid building blocks. In Streptococcus pneumoniae, it is not sufficient to target only the endogenous fatty acid synthesis machinery, as uptake of host fatty acids may bypass this inhibition.
KEYWORDS: Streptococcus pneumoniae, pneumococci, LytA, small antimicrobial compound, extracellular fatty acid metabolism, FabT, FakB3, DegV, pneumococcus
ABSTRACT
Streptococcus pneumoniae, a major cause of pneumonia, sepsis, and meningitis worldwide, has the nasopharynges of small children as its main ecological niche. Depletion of pneumococci from this niche would reduce the disease burden and could be achieved using small molecules with narrow-spectrum antibacterial activity. We identified the alkylated dicyclohexyl carboxylic acid 2CCA-1 as a potent inducer of autolysin-mediated lysis of S. pneumoniae, while having low activity against Staphylococcus aureus. 2CCA-1-resistant strains were found to have inactivating mutations in fakB3, known to be required for uptake of host polyunsaturated fatty acids, as well as through inactivation of the transcriptional regulator gene fabT, vital for endogenous, de novo fatty acid synthesis regulation. Structure activity relationship exploration revealed that, besides the central dicyclohexyl group, the fatty acid-like structural features of 2CCA-1 were essential for its activity. The lysis-inducing activity of 2CCA-1 was considerably more potent than that of free fatty acids and required growing bacteria, suggesting that 2CCA-1 needs to be metabolized to exert its antimicrobial activity. Total lipid analysis of 2CCA-1 treated bacteria identified unique masses that were modeled to 2CCA-1 containing lysophosphatidic and phosphatidic acid in wild-type but not in fakB3 mutant bacteria. This suggests that 2CCA-1 is metabolized as a fatty acid via FakB3 and utilized as a phospholipid building block, leading to accumulation of toxic phospholipid species. Analysis of FabT-mediated fakB3 expression elucidates how the pneumococcus could ensure membrane homeostasis and concurrent economic use of host-derived fatty acids.
INTRODUCTION
Streptococcus pneumoniae (the pneumococcus) is a major contributor to morbidity and mortality globally, being the major cause of milder infections, such as otitis and sinusitis, and more severe respiratory tract infections, such as community-acquired pneumonia, sepsis, and meningitis. To cause infections, the bacteria first colonize the nasopharynx and from there spread to other organs. If pneumococcal colonization could selectively be targeted by narrow-spectrum antimicrobials, we could potentially reduce the pneumococcal disease burden in society, without harming the entire residing bacterial flora. Penicillin has been the first choice for treatment for decades, but resistance rates are increasing, threatening effective therapy (1). Therefore, new approaches are required, and novel bacterial targets need to be explored. Bacterial fatty acid metabolism has been identified as an attractive target for antimicrobial drug development due to its essentiality for cell membrane biosynthesis and its divergence from corresponding mammalian systems (2–5). The de novo fatty acid synthesis pathway (FASII) utilizes acetyl coenzyme A (acetyl-CoA) as a substrate to synthesize acyl chains on acyl-carrier proteins (ACP) with the combined action of enzymes encoded by the fatty acid synthesis operon (6, 7). Most Gram-positive bacteria utilize the PlsX/PlsY/PlsC pathway to catalyze the acylation of glycerol-3-phosphate and produce phosphatidic acid as a precursor for all phospholipid variants (8). Several inhibitors of enzymes in the FASII systems have been reported (2–5, 9). Such inhibitors might not be effective against pneumococci, as this species, like other bacteria belonging to the order Lactobacillales, can synthesize its membrane essentially entirely from extracellular, medium- or host-derived fatty acids and completely suppress their FASII system through transcriptional and biochemical inhibition (10–13).
Transcriptional repression of the fab operon, encoding enzymes of the FASII system, is mediated by the transcription factor FabT (14). FabT has increased affinity for DNA binding in the presence of a corepressor, such as the FASII operon-encoded acyl carrier protein 1 (ACP1; locus tag SPD_0381) that mediates feedback inhibition of the FASII system when acylated with long acyl chains (15). Also, recently the auxiliary acyl carrier protein 2 (ACP2; locus tag SPD_0044) was described to mediate FabT binding as a cofactor when acylated with extracellular fatty acids (16–18). Biochemical regulation of de novo fatty acid synthesis occurs at its first step through acetyl-CoA carboxylase (ACC) inhibition by an unknown ligand that is postulated to be either acyl-ACP or acyl-PO4 (11). In Gram-positive bacteria, such as pneumococci, extracellular fatty acids are activated by a fatty acid kinase (FakA) and by fatty acid binding proteins (FakB) to initiate phospholipid synthesis (16, 19, 20). Phosphorylated fatty acids (acyl-PO4) serve as substrates for PlsY for lysophosphatidic acid formation from glycerol-3-phosphate (G3P) or, after conversion by the acyl:PO4 transacylase PlsX to acyl-ACP, can be used as the substrate for PlsC to acylate G3P in position 2 for phosphatidic acid biosynthesis (21–23).
In body fluids, fatty acids are mainly bound to carrier proteins such as human serum albumin (24, 25), and its bovine orthologue is used in in vitro experiments to supplement bacterial growth with extracellular fatty acids (11, 26). However, free fatty acids can also exert antimicrobial activity, which is exploited by the innate immune system (27–29), interbacterial competition (30), and their application as antimicrobial agents (31–33). Antibacterial mechanisms of free fatty acids are species specific and diverse (31, 33), including membrane solubilization, alteration of membrane fluidity, and uncoupling of protein interactions, leading to impairment of energy production or nutrient transport (34), as well as membrane pore formation (26) or inhibition of de novo fatty acid synthesis enzymes (35).
In this study, we investigated the effects of the small-molecule compound 2CCA-1 and found that it induces a prominent autolytic and antimicrobial response in S. pneumoniae. Through analysis of resistant mutants, we identified 2CCA-1 as a fatty acid mimetic that is utilized by FakB3 to supply toxic building blocks for membrane phospholipid biosynthesis. The involvement of the transcriptional repressor of de novo fatty acid synthesis FabT in 2CCA-1 resistance revealed an additional role in modulation of fakB3 expression as a response to extracellular fatty acid concentration. Our data suggest that 2CCA-1 may act as a narrow-spectrum antibacterial agent whose activity is dependent on a protein, found in S. pneumoniae and related species, required for extracellular polyunsaturated fatty acid metabolism (16).
RESULTS
Resistance to compound 2CCA-1 involves inactivation of either fakB3 or fabT.
We identified compound 2CCA-1 as a novel inducer of autolysin-mediated lysis in S. pneumoniae. The alkylated dicyclohexyl carboxylic acid 2CCA-1 comprises a carboxylic acid linked to a central dicyclohexyl scaffold, which in turn is connected to a short aliphatic chain (Fig. 1A). Pneumococcal cell wall hydrolases are essential for cell division and growth (36) but are also involved in various lysis phenomena of the pneumococcus, such as autolysis upon antibiotic-induced cell wall synthesis inhibition (37, 38). The initial pneumococcal response to early-logarithmic-phase treatment with 2CCA-1 resembled the response to penicillin, with induction of lysis about 1 h after challenge (Fig. 1B) and comparable death kinetics for the first 3 h (Fig. 1C). Furthermore, as for penicillin, cell wall hydrolases are involved in the lytic response of the pneumococcus upon 2CCA-1 treatment (Fig. 1D) and speed up the death process, even though bacterial death also occurs in the absence of cell wall hydrolase activity (Fig. 1E) (37–39).
Resistant mutants appeared following 2CCA-1 treatment, which restored logarithmic growth of the culture (Fig. 1B and C). Ten of the 2CCA-1-resistant mutants in the Tigr4 and D39 pneumococcal strain backgrounds were selected from four independent experimental pools and subjected to whole-genome sequencing; results are presented in Fig. 1F and G and complemented by a detailed description of the detected mutations in Table 1. Most of the resistant isolates (BHN849 to -852, BHN857 to -858, BHN860, and BHN870) were found to have mutations in the fakB3 gene. These mutations included single nucleotide polymorphisms leading to stop codon mutations but also major deletions of 97 bp (BHN857 and BHN860), 1,638 bp (BHN870), and even 4,006 bp (BHN851) affecting the fakB3 gene. This gene encodes a recently described fatty acid binding protein, FakB3, shown to be involved in the uptake of polyunsaturated fatty acids derived from the host environment for utilization in phospholipid biosynthesis in pneumococci (16). Two of the isolates, BHN857 and BHN860, had similar 97-bp deletions in fakB3 and had no other mutation in comparison to the parental D39 strain. One Tigr4 mutant (BHN848) and one D39 mutant (BHN859) had an intact fakB3 gene but instead contained mutations (a frameshift mutation and a nonsynonymous substitution) in the fabT gene, encoding the transcriptional repressor of the fab operon. Thus, these data imply that mutations inactivating either fakB3 or fabT rescue pneumococci from the antibacterial effects of 2CCA-1.
TABLE 1.
Strain | Nucleotide mutation | Amino acid change | Locus tag | Protein function |
---|---|---|---|---|
BHN848 | A344- | Frameshift-stop codon | SP_0416 | FabT, MarR family transcriptional regulator |
A1601C | D534A | SP_1221 | Type II restriction endonuclease | |
G253- | Frameshift | SP_RS08765 | Glycosyltransferase family 2 protein | |
G992A | G331D | SP_1901 | RNA methyltransferase | |
BHN849 | C2030A | A677E | SP_0498 | YSIRK-type signal peptide-containing protein |
G808T | E270* | SP_0742 | FakB3, DegV family protein | |
BHN850 | T33G | C11W | SP_0742 | FakB3, DegV family protein |
T75C | N25N | SP_1493 | MucBP domain-containing protein | |
A1896491C | Noncoding region | |||
BHN851 | A1094T | D365A | SP_0686 | Bacteriocin-associated integral membrane family protein |
700052–704058; 4,006-bp deletion | SP_0737–SP_0742 | |||
G601T | A201S | SP_1706 | Hypothetical protein | |
G1821T | K607N | SP_1960 | DNA-directed RNA polymerase subunit beta | |
BHN852 | A625T | K209* | SP_0742 | FakB3, DegV family protein |
G127A | E43K | SP_1136 | DnaD domain protein | |
BHN857 | 300–396; 97-bp deletion | SPD_0646 | FakB3, DegV family protein | |
BHN858 | T386A | V129E | SPD_0646 | FakB3, DegV family protein |
T222C | S74S | SPD_0453 | Restriction endonuclease subunit S | |
BHN859 | A226G | K76E | SPD_0379 | FabT, MarR family transcriptional regulator |
C947T | A316V | SPD_0320 | Glycosyltransferase family 1 protein | |
C1169T | A390V | SPD_0709 | DNA gyrase subunit B | |
BHN860 | 300–396; 97-bp deletion | SPD_0646 | FakB3, DegV family protein | |
BHN870 | 665175–666813; 1,638-bp deletion | Frameshift-Stop codon | SPD_0645-SPD_0646 |
Boldface indicates genes or genetic regions affected by mutations in more than one resistant mutant.
Bioinformatic analysis of fakB3 and fabT revealed that both genes are highly conserved and present in all the pneumococcal genomes sequenced so far. The nucleotide conservation of fakB3 and fabT sequences among different serotypes and sequence types of pneumococci was investigated by using a BLAST search (40) against the pneumococcal PubMLST database (41) comprising 8,351 whole-genome sequences. The vast majority (99.6%) of the pneumococcal genomes possess a fakB3 sequence that displays more than 98% similarity to the Tigr4 fakB3 sequence. For fabT, 99.9% of the genomes possess a sequence that is more than 98% similar to the Tigr4 sequence. Further bioinformatic analyses revealed that FakB3 has homologues among the Firmicutes that are in the order Lactobacillales but is generally absent among species belonging to the order Bacillales (Fig. S1A), potentially explaining the low sensitivity to 2CCA-1 observed for Staphylococcus aureus (Fig. S1B).
Gene replacements of fakB3 and fabT in the wild-type D39 background with antibiotic resistance genes (open reading frames [ORFs] or cassettes) confirmed that these genes are indeed required for the lytic response to 2CCA-1 treatment (Text S1; Tables S1 and S2; Fig. S2 to S4). D39ΔfakB3 (BHN2024) did not respond with lysis upon even 100 μM 2CCA-1 treatment, and compared to the wild-type response, D39ΔfabT (BHN2032) showed reduced sensitivity to high concentrations of 2CCA-1 (Fig. 2A and B). Further validation was obtained by restoring the mutant alleles of fakB3 and fabT in the spontaneous 2CCA-1-resistant isolates BHN857 and BHN859 with wild-type alleles, which reconstituted the wild-type sensitive phenotype to 2CCA-1 treatment (Fig. S5A to D). Two of the spontaneous resistant mutant strains (BHN851 and BHN870) contained large deletions that affected more genes than fakB3. Investigation of strains with constructed knockouts of these adjacent genes showed, however, that they did not contribute to the 2CCA-1-resistant phenotype (Fig. S5E to I). The preserved 2CCA-1 sensitivity of deletion mutants affecting the genes encoding the other two pneumococcal fatty acid binding proteins, fakB1 (BHN2030) and fakB2 (BHN2031), as well as their double deletion mutant (BHN1351), showed that FakB3 was the only pneumococcal fatty acid binding protein required for the lytic response to 2CCA-1 (Fig. S5J to L).
2CCA-1 possesses features of a fatty acid, indispensable for its antipneumococcal function.
The structure-activity relationship (SAR) of 2CCA-1 was explored by determining a minimal lytic concentration (MlytC) for related structural variants (Table 2). The MlytC was defined as the minimal concentration required to induce lysis during logarithmic growth of S. pneumoniae D39 grown in supplemented casitone and yeast extract (C + Y) medium. This measure facilitated a comparative analysis of the initial lysis-inducing capacity of structural variants which would have been obscured in a conventional MIC assay due to resistance development. The importance of carboxylic acid functionality for the activity of 2CCA-1 (MlytC of 3 μM) was highlighted by changing the carboxylic acid to a primary carboxamide, which resulted in analogue 2, with a MlytC of >100 μM (Fig. 1A and Table 2). Also, compounds 3 and 4, where the carboxylic acid had been changed to an acetate and a morpholine amide, respectively, showed a significant reduction of activity. These two analogues also had the first cyclohexyl ring changed to a phenyl ring, and these changes resulted in a clear decrease in activity. In addition, the presence of two connected cyclohexyl groups in position RII was found to be essential for activity, since compound 5, with only one cyclohexyl group in RII, was inactive. Activity of 2CCA-1 was dependent on the saturation status of the dicyclohexyl motif of RII, since one or two unsaturated phenyl groups rendered compounds 6 and 7 inactive. The only modifications that were tolerated were extensions of the alkyl chain in position RIII, from a 3-carbon chain (in 2CCA-1) to a 4- or 5-carbon chain (compounds 8 and 9), which provided MlytC of 6 and 3 μM, respectively (Table 2). Further extension of the alkyl substituent to 7 carbons, as in compound 10, caused a reduction in activity (MlytC between 25 μM and 50 μM).
TABLE 2.
With this insight into SAR, we concluded that the structural integrity of 2CCA-1 was crucial for its antipneumococcal activity and only minor extensions of the alkyl chain in RIII were tolerated. With a carboxyl acid linked to a hydrophobic hydrocarbon scaffold, 2CCA-1 contains key features of a fatty acid. Indeed, examination of the stereo conformation of 2CCA-1 in comparison with lauric acid, a saturated 12-carbon fatty acid, revealed an almost identical structure when 2CCA-1 was tilted 90° around the axis of its hydrophobic core (Fig. S6A and B).
2CCA-1 exerts its antibacterial effect after metabolization to form acyl chains of phospholipids.
The structural features of 2CCA-1 and the involvement of fatty acid metabolism proteins in resistance to 2CCA-1 suggested that the compound interacts with the bacteria as a fatty acid. Free fatty acids can exert antibacterial activity by solubilizing the bacterial membrane in a surfactant-like manner (26, 31, 33). However, in the case of 2CCA-1, several observations argued against such a direct mode of action. For one, 2CCA-1 activity was dependent on functional FakB3 or FabT, since in their absence, pneumococci were resistant to high concentrations of 2CCA-1 (Fig. 2A and B). Furthermore, the lysis-inducing capacity of 2CCA-1, judged by MlytC (Fig. 2C; Fig. S6C to G), was markedly more prominent than that of a panel of free fatty acids (2CCA-1, MlytC = 3 μM; lauric acid (12:0), MlytC = 500 μM; stearic acid (18:0), MlytC = 500 μM; oleic acid (18:1Δ9), MlytC = 100 μM; and linoleic acid (18:2Δ9,12), MlytC = 100 μM). In addition, 2CCA-1 did not induce lysis of cultures in stationary phase even at a concentration 16 times higher than the MlytC (Fig. 2D). This implies that 2CCA-1, like penicillin, needs actively growing cells for exerting its antibacterial activity.
Stationary-phase treatment with linoleic acid at its MlytC and with membrane-active antibiotics such as nisin (lipid II binding and pore forming) (42) and daptomycin (lipid II binding and membrane microdomain targeting) (43, 44) (Fig. S6H) induced a rapid lysis clearly distinguishable from the effect of the solvent dimethyl sulfoxide (DMSO) (Fig. 2D). Combined, these observations did not support a direct membrane perturbation activity of 2CCA-1 and could instead imply a requirement of further metabolic processing of 2CCA-1 to elicit its activity.
As pneumococci use extracellular fatty acids solely as building blocks for membrane lipids and not for β-oxidation (8), we performed total lipid analysis (lipidomics) to see if we could identify a metabolic product of 2CCA-1. Indeed, two unique molecular features (MF) (mass [in Da] 669.61, retention time [RT, in minutes] 2.7; mass 407.38, RT 0.7) were identified in 2CCA-1-treated wild-type Tigr4 cells (Fig. 3A; Data Set S1). These two molecular features were absent in DMSO-treated wild-type Tigr4 cells and in the 2CCA-1-resistant strain BHN852 (97-bp deletion in fakB3) when treated with 2CCA-1 or DMSO. A very small unique peak was identified for MF 992.55 at RT 2.8 in the presented experiment, but only MF 407.38 (RT 0.7) and MF 669.61 (RT 2.7) were repeatedly identified in independent experiments. A LIPID MAPS search did not match these masses to any known lipid. The tandem mass spectrometry (MS-MS) spectra of MFs 669.61 and 407.38 both contained fragments of 320.29 Da and 391.36 Da, suggesting that they may share a similar structure and/or belong to the same pathway (Fig. 3B and C).
Modeling of 2CCA-1 as an acyl chain of lysophosphatidic acid and with phosphatidic acid in combination with an 18 carbon unsaturated fatty acid attached as a second acyl group, yielded theoretical fully protonated products of 406.46 Da and 670.91 Da, respectively (Fig. 3D), correlating with the unique masses obtained by lipid analysis of 2CCA-1-treated wild-type cells. Based on these findings, we propose a model where 2CCA-1 is taken up by FakB3 and is further metabolized as an extracellular fatty acid to form an acyl chain of phospholipids (Fig. 3D). The recorded dose-dependent changes in membrane fluidity upon 2CCA-1 treatment (Fig. S6I) could, in line with the proposed model and the observed autolysis induction, indicate a detrimental effect of the 2CCA-1-containing phospholipids on cell membrane-associated functions.
The requirement of FabT for 2CCA-1 susceptibility suggests a regulatory interplay between FASII and FakB3-dependent extracellular fatty acid metabolism.
Pneumococcal resistance to 2CCA-1 in the absence of FakB3 or FabT suggests a functional link between these proteins. Indeed, a previous report analyzing genes regulated by FabT identified, besides 81 downregulated genes, four genes that were upregulated (14). Of these, fakB3 (SP0742) was found to be 3.4-fold downregulated in the absence of FabT, suggesting a positive influence on expression by this transcription factor (14). However, FabT does not modulate fakB3 expression through direct binding to the fakB3 promoter (Fig. S6J to L).
To further investigate the interaction of FabT and fakB3, we conducted transcription analyses under conditions of various extracellular fatty acid concentrations. Indeed, fakB3 expression was found to be upregulated 2.36 ± 0.70-fold to 2.92 ± 0.77-fold (average ± standard deviation [SD]) in wild-type D39 (BHN853) in relation to D39ΔfabT (BHN2032) when grown in medium containing only BSA or a low concentration of 0.1 mM extracellular fatty acids, respectively (Fig. 4A). These data confirmed that the presence of FabT enhances transcription of fakB3. However, in the presence of higher concentrations of extracellular fatty acids (1 mM equimolar mixture of 18-carbon-chain fatty acids of different saturation degree), fakB3 expression in wild-type D39 was 11.13 ± 1.62-fold (average ± SD) lower than in medium with fatty acid-free bovine serum albumin (BSA) and 9.27 ± 0.71-fold lower than in medium with low concentrations (0.1 mM) of fatty acids (Fig. 4B). This decrease in fakB3 expression in medium containing 1 mM extracellular fatty acids was not observed in D39ΔfabT (BHN2032) (Fig. 4B), and under those conditions, fakB3 was expressed at 3.07 ± 0.70-fold (average ± SD) lower levels in wild-type D39 than in D39ΔfabT (BHN2032) (Fig. 4A). This correlated with previous observations where a rigorous fab operon repression was found at high concentrations of extracellular fatty acids (10, 11). We confirmed that under the conditions investigated, fabK expression, as a readout for the fab operon regulated by FabT, was downregulated 5.25 ± 0.98-fold (average ± SD) for wild-type D39 grown in medium with 1 mM extracellular fatty acids compared to medium with BSA and 4.75 ± 0.76-fold compared to medium with 0.1 mM fatty acids. (Fig. 4C). The influence of FabT on fabK repression was also seen by the lack of differential expression in response to extracellular fatty acids in the ΔfabT strain (Fig. 4C). Indeed, fabK expression was 10.13 ± 0.41-fold (average ± SD) lower in wild-type D39 than in D39ΔfabT (BHN2032) in response to a high concentration (1 mM) of extracellular fatty acids. Thus, at high extracellular fatty acid concentrations, FabT not only acts as a transcriptional repressor of fabK but also exerts a repressive effect on fakB3 (Fig. 4).
DISCUSSION
In the present study, we describe a novel small antimicrobial compound, 2CCA-1, that potently induces autolysin-mediated pneumococcal lysis. Our data suggest a new antibacterial mechanism where 2CCA-1 functions as a fatty acid mimetic that does not primarily act as an anionic detergent on the pneumococcal membrane but becomes antibacterial after being metabolized and incorporated into phospholipids. Membrane fluidity is affected, likely by the cyclohexyl-containing structure, in combination with a relatively short alkyl chain of the resulting 2CCA-1-containing lipid. Alteration of membrane fluidity has been described to interfere with cell wall synthesis (44, 45), impairment of which is known to induce autolysis (37, 38), offering a plausible explanation for the induction of pneumococcal autolysis upon 2CCA-1 treatment, even though the compound does not directly target cell wall synthesis. Pneumococcal growth restriction was observed previously when cells were fed with extracellular saturated fatty acids (46). Accumulation of phospholipids with saturated acyl chains reduces membrane fluidity and eventually restricts growth (46). 2CCA-1 resembles in length the saturated middle chain lauric acid, which has long been known as the most potent antibacterial free fatty acid for Gram-positive bacteria (32). 2CCA-1 is, however, 160 times more potent than lauric acid in terms of lysis-inducing capacity (MlytC), suggesting that an accumulation of even minute amounts of 2CCA-1 in phospholipids can be detrimental for membrane homeostasis. However, with the data obtained so far, we cannot exclude the possibility that 2CCA-1 additionally inhibits enzymes of the FASII system, as described for linoleic acid (35).
Examination of mutants resistant to 2CCA-1 revealed that they had inactivating mutations in two genes involved in fatty acid metabolism; these genes encode FakB3, a polyunsaturated fatty acid binding protein (16), and the transcription factor FabT. Investigation of these resistant mutants uncovered a functional link between FakB3 and FabT and revealed another layer of regulation of fatty acid supply for phospholipid synthesis, as proposed in Fig. 5. Under conditions of low fatty acid availability (Fig. 5A), fakB3 expression was higher in the presence than in the absence of FabT. Upon availability of abundant extracellular fatty acids, however, fakB3 expression was lower in the presence than in the absence of FabT (Fig. 5B). Indeed, repression of fakB3 expression upon long-chain polyunsaturated arachidonic acid stress has also been observed previously (47). In the wild-type strain, fakB3 expression was in general lower in medium with high concentrations than low concentrations of extracellular fatty acids (Fig. 4). Availability of FakB3 at low extracellular fatty acid concentrations could ensure the economic use of all accessible extracellular building blocks for cell membrane synthesis to disburden the energy-intensive endogenous fatty acid synthesis (12), which operates concurrently and is subjected to feedback inhibition only by long-chain acyl-ACP1 (14, 15). The decrease of fakB3 expression and the resulting decrease of polyunsaturated fatty acid incorporation in the membrane could be a way to tightly control their content in the membrane for maintenance of growth-permissive membrane fluidity. S. pneumoniae synthesizes saturated and monounsaturated, but not polyunsaturated, fatty acids through the FASII system (11, 46–48). In the presence of extracellular fatty acids, FASII is metabolically and transcriptionally downregulated, and pneumococci can build up their membrane almost entirely from extracellularly supplied oleic acid (11). Equipped with three FakB homologues with affinity for all degrees of fatty acid saturation, the pneumococcus can scavenge the whole spectrum of human serum fatty acids (16). This, however, also requires an economic but tight control (12) of polyunsaturated fatty acid incorporation, influenced by FabT in response to explicit extracellular fatty acid concentration. Control of polyunsaturated fatty acid concentration could additionally be administered by sensors of membrane homeostasis, similarly to the regulation of fatty acid biosynthesis by the response regulator YycF of the pneumococcal two-component system YycFG (49, 50), or the global regulator CcpA in Streptococcus mutans (51).
In conclusion, we find that 2CCA-1 functions as a fatty acid mimetic and is the first reported agent that targets the extracellular fatty acid supply of the lipid biosynthesis in S. pneumoniae. Our data suggest that 2CCA-1, by interacting with the polyunsaturated fatty acid binding protein FakB3, becomes incorporated as novel phospholipid species in the bacterial membrane with antibacterial consequences. S. aureus, a representative of the order Bacillales lacking FakB3, displayed low 2CCA-1 sensitivity, indicating that the diversity in the host fatty acid metabolism among species of the phylum Firmicutes potentially provides targets for narrow-spectrum antibiotics. Furthermore, FabT, the repressor of the fab operon, was found to influence the expression level of fakB3 in an intricate manner in response to extracellular fatty acid conditions. 2CCA-1 may serve as a valuable tool for investigating various aspects of pneumococcal lipid metabolism and membrane homeostasis, but it could also potentially form the basis for development of narrow-spectrum antimicrobials, a possibility which needs to be explored in future studies.
MATERIALS AND METHODS
Bacterial growth conditions.
S. pneumoniae strains (Table S1) were grown on blood agar plates over night at 37°C and 5% CO2. The standard medium for suspension cultures was C+Y medium (Text S1) supplemented with horse serum (1% [vol/vol]; Håtunalab) and glucose bouillon (9% [vol/vol], 25 g/liter nutrient broth no. 2 [Oxoid], 10 g/liter glucose). To assess the contribution of the pneumococcal cell wall-degrading enzymes to pneumococcal lysis, the bacteria were grown in medium containing a competitive concentration of choline chloride (110 mM) (Sigma). For establishing growth conditions without extracellular fatty acids, the yeast extract was omitted from the C+Y medium, yielding C medium. For experiments with defined fatty acid compositions, the C medium was supplemented with fatty acid-free BSA (10 mg/ml; Sigma) and with the appropriate fatty acids (lauric, stearic, oleic, and linoleic acids, purchased from Sigma) to a final solvent concentration of 1% (vol/vol) DMSO in the growth medium.
Chemicals and antibiotics.
The following chemical compounds used in this study were purchased from ChemBridge: 2CCA-1 [4′-propyl-1,1′-bi(cyclohexyl)-4-carboxylic acid (C16 H28 O2); ChemBridge no. 5306127], compound 2 [4′-propyl-1,1′-bi(cyclohexyl)-4-carboxamide (C16H29NO); ChemBridge no. 5301965], compound 3 [4-(4-propylcyclohexyl)phenyl acetate (C17 H24 O2); ChemBridge no. 5536706], compound 4 {4-[4-(4-propylcyclohexyl) benzoyl]morpholine (C20 H29 NO2); ChemBridge no. 5562176], compound 5 [4-pentylcyclohexanecarboxylic acid (C12H22O2); ChemBridge no. 5303499], compound 8 [4′-butyl-1,1′-bi(cyclohexyl)-4-carboxylic acid (C17H30O2); ChemBridge no. 5304107], and compound 9 [4′-pentyl-1,1′-bi(cyclohexyl)-4-carboxylic acid (C18 H32 O2); ChemBridge no. 5309126]. Compound 10 {4′-heptyl-[1,1′-bi(cyclohexane)]-4-carboxylic} acid (C20H36O2); MolPort-002-798-661} was purchased from MolPort. Compound 6 [trans-4-(4-n-propylcyclohexyl) benzoic acid (C16H22O2)); H57552 and compound 7 (4′-n-propylbiphenyl-4-carboxylic acid [C16H16O2]; L06110) were purchased from Alfa Aesar. 2CCA-1 (Vitas-M no. STK058310) was also purchased from Vitas-M Laboratory.
2CCA-1 and its structural analogues, vancomycin hydrochloride (Sigma), and daptomycin cyclic lipopeptide antibiotic (Sigma) were dissolved in anhydrous DMSO (Invitrogen), nisin from Lactococcus lactis (2.5%, balance sodium chloride [Sigma]) was dissolved in acetic acid (0.05%), and penicillin G sodium salt (Fluka) was dissolved in water or DMSO as indicated.
Assay for assessing the lysis inducing activity.
For investigating the lysis-inducing capacity of compounds, precultures of S. pneumoniae strains in supplemented C+Y medium were inoculated from overnight blood agar plates or frozen starter cultures. At mid-log phase, these precultures were diluted into fresh medium to an optical density at 600 nm (OD600) of ∼0.05 (∼2 × 107 CFU/ml) and distributed into wells (400 μl per well) of a Honeycomb plate (Oy Growth Curves AB Ltd., Helsinki, Finland). Growth kinetics were monitored using a Bioscreen C plate reader (Oy Growth Curves AB Ltd.). Cultures were challenged in early log phase (OD600 ≈ 0.15; ∼3.3 × 107 CFU/ml) with 2CCA-1, antibiotics, fatty acids, or other chemical compounds by adding 4 μl from a 100× stock solution, followed by mixing of the well contents. Thus, for compounds dissolved in DMSO, the final solvent concentration was 1% (vol/vol), which was also added as control treatment. For viability determination, samples were taken at timed intervals and the number of CFU was determined in appropriate dilutions after overnight incubation on blood plates. Viability after compound exposure was determined in triplicate biological experiments that were run in at least technical duplicates.
For determination of the minimal lytic concentration (MlytC) of 2CCA-1, SAR analogues, and free fatty acids, the above-described procedure was performed using the S. pneumoniae D39 strain grown in supplemented C+Y medium. When required, the spectrophotometric contribution of the chemicals or fatty acids was subtracted from the measured OD values, in addition to those of the uninoculated growth medium. The MlytC was defined as the lowest concentration that induced lysis in S. pneumoniae D39 before reaching an OD600 of 0.5 (∼1.24 × 108 CFU/ml) under the described conditions. The investigations were carried out in technical triplicates and at least two biological replicates.
Isolation of spontaneous resistant mutants and whole-genome sequencing.
Spontaneous 2CCA-1-resistant strains were isolated when 2CCA-1 (25 μM) was added to cultures of S. pneumoniae D39 or Tigr4 in their logarithmic growth phase as for the determination of lysis-inducing activity described above. Mutant strains BHN848 to BHN850 as well as BHN857 to BHN859 were isolated on blood agar plates from samples plated after 2 h compound exposure, and BHN851, BHN852, BHN860, and BHN870 were isolated from samples plated after overnight compound exposure (Table S1). Genomic DNA was isolated using Genomic-tip 100/G columns (Qiagen) following the manufacturer’s instructions with the following exceptions: strains were isolated directly from a blood agar plate and were incubated for 30 min at 37°C in buffer B1 with LytA (50 μg/ml), recombinantly produced as previously described (37), followed by a continued 20-min incubation at 37°C with proteinase K at the recommended concentration. Whole-genome sequencing of these spontaneous resistant mutants along with the parental wild-type strains was performed using TruSeq DNA library preps and Illumina Miseq V3, 2× 300 bp with a minimum of 100× coverage per base. The reads were quality checked using FastQC (52) and trimmed using Trimmomatic (53). All the reads were aligned to the respective reference genomes from NCBI (Tigr4, NC_003028.3; D39, NC_008533.2) using bwa (54). The variants were identified using SAMtools, GATK tools, and BEDTools (55–57) and visualized with DNAplotter (58).
Construction of pneumococcal mutant strains.
Pneumococcal mutant strains were generated in which the open reading frames (ORFs) of the target genes were deleted and replaced with either antibiotic resistance ORFs or cassettes with promoter, ORF, and terminator sequences, as indicated in Table S1. A detailed description of how transformation constructions were generated is included in Text S1 as well as in Table S2 and Fig. S2 to S4.
Stationary-phase lysis.
For the examination of lysis inducing activity of substances in stationary phase, suspension cultures of S. pneumoniae D39 were prepared as for the characterization of the lysis-inducing activity in logarithmic phase, but treatments were administered followed by mixing of the well contents after the bacteria had stayed in stationary phase for 30 min. Treatments consisted of 2CCA-1 (50 μM), linoleic acid (100 μM), nisin (4 μg/ml), and penicillin (0.25 μg/ml) dissolved in DMSO as well as in water, as well as daptomycin (8 μg/ml). For examining the effect of daptomycin, Ca2+ (50 μg/ml) from CaCl2 (Merck) was used to supplement the growth media. Treatments were carried out in triplicate and repeated at least twice. For OD values of 2CCA-1 treated bacteria, the spectrophotometric contribution of the chemical was subtracted.
Lipid extraction, liquid chromatography, and mass spectrometry.
Bacteria (BHN842 and BHN852) were cultured as for experiments characterizing the lysis-inducing activity and treated with 2CCA-1 (25 μM) and DMSO (1% [vol/vol]) as a solvent control. When the cultures decelerated their logarithmic growth and started to lyse, a sample (400 μl) was immediately placed on ice to decelerate autolysis and centrifuged at ≥6,200 × g for 2 min at 4°C. The pellet was washed twice, once each with 1 ml and 500 μl NaCl (150 mM). The pellet was stored at −80°C until analysis. Total lipids from frozen pneumococcal cells were extracted using a chloroform-methanol (2:1 [vol/vol]) mixture and analyzed by ultra-high-performance liquid chromatography coupled with tandem mass spectrometry, as described in detail in Text S1. The strategy for data analysis was built on the hypothesis that wild-type Tigr4 metabolizes 2CCA-1 and produces hypothetical lipid compounds. Thus, we compared wild-type Tigr4 cells to BHN852 cells treated with 2CCA-1 or with 1% DMSO. Initially, metabolites resulting from untargeted lipidomics were graded using the following criteria: (i) a metabolite should be absent from a blank sample or be at least five times higher under an experimental condition than in blanks; (ii) the relative standard deviation (RSD%) of the area under the curve within an experimental condition (between 6 repeats) should not be more than 100%; (iii) the average area under the curve of the peak between at least 2 experimental conditions should differ at least two times; (iv) metabolites that met the first three criteria were analyzed using principal-component analysis (PCA), orthogonal partial least-square discriminant analysis (OPLS-DA), and variable influence on projection (VIP) by SIMCA (Sartorius), and metabolites important for separation of samples from different experimental conditions were selected at this stage (VIP score ≥ 1); (v) finally, visual inspection of peaks/chromatograms of selected compounds was done in Profinder (Agilent). From 3,636 molecular features (MFs) measured by untargeted lipidomics, we selected 14 that met the criteria of the hypothesis and the strategy. After the experiments were repeated 3 times, only one candidate MF still met the criteria, and one more MF was found by analogy and mere visual inspection. In all validation experiments, only MFs that were completely absent from all blank samples and present in all replicas of a certain experimental condition were included in the analysis.
Determination of gene expression.
Single colonies of the investigated mutants and their isogenic wild-type strain (D39 [BHN853], D39ΔfakB3::ermB [BHN2024], and D39ΔfabT::ermB [BHN2032]) were propagated on blood plates and subsequently in liquid cultures of C medium with fatty acid-free BSA (10 mg/ml) and a 0.1 mM or 1 mM fatty acid mixture containing equimolar proportions of oleic, stearic, and linoleic acid. When the precultures reached mid-log phase, they were diluted in fresh medium to an OD600 of ∼0.05 and harvested when they reached an OD600 of ∼0.15 by immediate transfer to ice. Following centrifugation at ≥2,700 × g for 15 min. the pellets were taken up in 1 ml RNAPro solution from the FAST RNA Pro Blue kit (MP Biomedicals), and RNA was isolated according to the manufacturer’s instructions.
DNase treatment for 10 μg or 20 μg nucleic acid was carried out in 100-μl or 200-μl reactions, respectively, with Turbo DNase (0.06 U/μl; Invitrogen), Turbo DNase buffer (1×; Invitrogen), and 0.2 U/μl SUPERaseIn RNase inhibitor (Thermo Fisher Scientific). The reaction mixture was incubated for 45 min at 37°C. Subsequently, an equal volume of phenol-chloroform–isoamyl alcohol (25:24:1; Sigma) was added and mixed by inversion in Phase Lock Gel Heavy tubes (5 Prime). Aqueous phase separation was performed by centrifugation at ≥17.000 × g for 15 min at 16°C. The aqueous phases were transferred to new tubes, and RNA was precipitated with an equal volume of isopropanol (Sigma) for 30 min at room temperature, whereupon RNA was collected by centrifugation at ≥17.000 × g for 30 min. After the RNA was washed with 70% ethanol, the pellet was air-dried briefly, and RNA was suspended in diethyl pyrocarbonate (DEPC)-treated water. RNA was quantified spectrophotometrically (Nanodrop, Invitrogen). DNA contamination assessment was performed by PCR, and RNA integrity was verified by 1.5% (TAE) agarose gel electrophoresis. cDNA was produced with a high-capacity cDNA reverse transcription kit (Applied Biosystems) according to the manufacturer’s protocol without RNase inhibitor from 400 ng of DNase-treated RNA per sample.
Quantitative PCR was performed with iTaq universal SYBR green supermix (Bio-Rad) in a reaction volume of 20 μl with 375 nM forward and reverse primer (Table S2) and 1 μl of the cDNA reaction mixture. Thermocycling was performed in a Bio-Rad CFX96 instrument with conditions recommended by the manufacturer. Primers were validated on a standard curve using D39 genomic DNA as a template over a 5-log concentration range for amplification with comparable efficiency (59) and repeatability in three independent experiments. The PCR efficiency (average ± standard deviation) for primer pairs targeting different genes was as follows: for fakB3, 83.27 ± 2.41; for fabK, 84.88 ± 1.06; and for gyrA, 83.37 ± 1.44. A nontemplate control (NTC) and a no-reverse-transcriptase (NRT) control were included, which both resulted in quantification cycle (Cq) values with a difference of at least 11 relative to the Cq values of the investigated samples (excluding fakB3 expression in D39ΔfakB3). Cq values were retrieved from the instrument, and ΔCq values were calculated using the gyrase housekeeping gene (SPD_1077). Relative gene expression (2(−ΔΔCq)) (60), comparing expression in different strains or media, is reported as averages and standard deviations from three biological experiments analyzed in technical triplicates.
ACKNOWLEDGMENTS
This work was supported by grants from the Knut and Alice Wallenberg Foundation, the Swedish Research Council, the Swedish Foundation for Strategic Research (SSF), and the Stockholm County Council. We acknowledge support from the National Genomics Infrastructure in Stockholm funded by Science for Life Laboratory and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure.
We thank Geneviève Garriss for the advice on RNA isolation and qPCR data interpretation and the Swedish Metabolomics Centre (https://www.swedishmetabolomicscentre.se/) for their help with lipid MS-MS spectrum interpretation. We thank Edmund Loh and Anuj Pathak for advice on the electromobility shift assay.
Footnotes
This article is a direct contribution from Staffan Normark, a Fellow of the American Academy of Microbiology, who arranged for and secured reviews by Victor Nizet, University of California, San Diego, and Michael Caparon, Washington University School of Medicine, St. Louis.
Citation Reithuber E, Nannapaneni P, Rzhepishevska O, Lindgren AEG, Ilchenko O, Normark S, Almqvist F, Henriques-Normark B, Mellroth P. 2020. The bactericidal fatty acid mimetic 2CCA-1 selectively targets pneumococcal extracellular polyunsaturated fatty acid metabolism. mBio 11:e03027-20. https://doi.org/10.1128/mBio.03027-20.
REFERENCES
- 1.Goossens H, Ferech M, Vander Stichele R, Elseviers M, ESAC Project Group. 2005. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet 365:579–587. doi: 10.1016/S0140-6736(05)17907-0. [DOI] [PubMed] [Google Scholar]
- 2.Heath RJ, Rock CO. 2004. Fatty acid biosynthesis as a target for novel antibacterials. Curr Opin Invest Drugs 5:146–153. [PMC free article] [PubMed] [Google Scholar]
- 3.Heath RJ, White SW, Rock CO. 2001. Lipid biosynthesis as a target for antibacterial agents. Prog Lipid Res 40:467–497. doi: 10.1016/s0163-7827(01)00012-1. [DOI] [PubMed] [Google Scholar]
- 4.Yao J, Rock CO. 2017. Bacterial fatty acid metabolism in modern antibiotic discovery. Biochim Biophys Acta Mol Cell Biol Lipids 1862:1300–1309. doi: 10.1016/j.bbalip.2016.09.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zhang YM, White SW, Rock CO. 2006. Inhibiting bacterial fatty acid synthesis. J Biol Chem 281:17541–17544. doi: 10.1074/jbc.R600004200. [DOI] [PubMed] [Google Scholar]
- 6.Rock CO, Cronan JE. 1996. Escherichia coli as a model for the regulation of dissociable (type II) fatty acid biosynthesis. Biochim Biophys Acta Lipids Lipid Metab 1302:1–16. doi: 10.1016/0005-2760(96)00056-2. [DOI] [PubMed] [Google Scholar]
- 7.White SW, Zheng J, Zhang Y-M, Rock CO. 2005. The structural biology of type II fatty acid biosynthesis. Annu Rev Biochem 74:791–831. doi: 10.1146/annurev.biochem.74.082803.133524. [DOI] [PubMed] [Google Scholar]
- 8.Yao J, Rock CO. 2013. Phosphatidic acid synthesis in bacteria. Biochim Biophys Acta 1831:495–502. doi: 10.1016/j.bbalip.2012.08.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhang YM, Rock CO. 2008. Membrane lipid homeostasis in bacteria. Nat Rev Microbiol 6:222–233. doi: 10.1038/nrmicro1839. [DOI] [PubMed] [Google Scholar]
- 10.Brinster S, Lamberet G, Staels B, Trieu-Cuot P, Gruss A, Poyart C. 2009. Type II fatty acid synthesis is not a suitable antibiotic target for Gram-positive pathogens. Nature 458:83–86. doi: 10.1038/nature07772. [DOI] [PubMed] [Google Scholar]
- 11.Parsons JB, Frank MW, Subramanian C, Saenkham P, Rock CO. 2011. Metabolic basis for the differential susceptibility of Gram-positive pathogens to fatty acid synthesis inhibitors. Proc Natl Acad Sci U S A 108:15378–15383. doi: 10.1073/pnas.1109208108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Yao J, Rock CO. 2017. Exogenous fatty acid metabolism in bacteria. Biochimie 141:30–39. doi: 10.1016/j.biochi.2017.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yao J, Rock CO. 2015. How bacterial pathogens eat host lipids: implications for the development of fatty acid synthesis therapeutics. J Biol Chem 290:5940–5946. doi: 10.1074/jbc.R114.636241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lu YJ, Rock CO. 2006. Transcriptional regulation of fatty acid biosynthesis in Streptococcus pneumoniae. Mol Microbiol 59:551–566. doi: 10.1111/j.1365-2958.2005.04951.x. [DOI] [PubMed] [Google Scholar]
- 15.Jerga A, Rock CO. 2009. Acyl-acyl carrier protein regulates transcription of fatty acid biosynthetic genes via the FabT repressor in Streptococcus pneumoniae. J Biol Chem 284:15364–15368. doi: 10.1074/jbc.C109.002410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gullett JM, Cuypers MG, Frank MW, White SW, Rock CO. 2019. A fatty acid-binding protein of Streptococcus pneumoniae facilitates the acquisition of host polyunsaturated fatty acids. J Biol Chem 294:16416–16428. doi: 10.1074/jbc.RA119.010659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Zhu L, Zou Q, Cao X, Cronan JE. 2019. Enterococcus faecalis encodes an atypical auxiliary acyl carrier protein required for efficient regulation of fatty acid synthesis by exogenous fatty acids. mBio 10:e00577-19. doi: 10.1128/mBio.00577-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zuo G, Chen ZP, Jiang YL, Zhu Z, Ding C, Zhang Z, Chen Y, Zhou CZ, Li Q. 2019. Structural insights into repression of the Pneumococcal fatty acid synthesis pathway by repressor FabT and co‐repressor acyl‐ACP. FEBS Lett 593:2730–2741. doi: 10.1002/1873-3468.13534. [DOI] [PubMed] [Google Scholar]
- 19.Broussard TC, Miller DJ, Jackson P, Nourse A, White SW, Rock CO. 2016. Biochemical roles for conserved residues in the bacterial fatty acid-binding protein family. J Biol Chem 291:6292–6303. doi: 10.1074/jbc.M115.706820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Parsons JB, Broussard TC, Bose JL, Rosch JW, Jackson P, Subramanian C, Rock CO. 2014. Identification of a two-component fatty acid kinase responsible for host fatty acid incorporation by Staphylococcus aureus. Proc Natl Acad Sci U S A 111:10532–10537. doi: 10.1073/pnas.1408797111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Cronan JE. 2014. A new pathway of exogenous fatty acid incorporation proceeds by a classical phosphoryl transfer reaction. Mol Microbiol 92:217–221. doi: 10.1111/mmi.12558. [DOI] [PubMed] [Google Scholar]
- 22.Lu Y-J, Zhang Y-M, Grimes KD, Qi J, Lee RE, Rock CO. 2006. Acyl-phosphates initiate membrane phospholipid synthesis in Gram-positive pathogens. Mol Cell 23:765–772. doi: 10.1016/j.molcel.2006.06.030. [DOI] [PubMed] [Google Scholar]
- 23.Parsons JB, Frank MW, Jackson P, Subramanian C, Rock CO. 2014. Incorporation of extracellular fatty acids by a fatty acid kinase‐dependent pathway in S taphylococcus aureus. Mol Microbiol 92:234–245. doi: 10.1111/mmi.12556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hamilton JA. 2002. How fatty acids bind to proteins: the inside story from protein structures. Prostaglandins Leukot Essent Fatty Acids 67:65–72. doi: 10.1054/plef.2002.0400. [DOI] [PubMed] [Google Scholar]
- 25.Do TQ, Moshkani S, Castillo P, Anunta S, Pogosyan A, Cheung A, Marbois B, Faull KF, Ernst W, Chiang SM, Fujii G, Clarke CF, Foster K, Porter E. 2008. Lipids including cholesteryl linoleate and cholesteryl arachidonate contribute to the inherent antibacterial activity of human nasal fluid. J Immunol 181:4177–4187. doi: 10.4049/jimmunol.181.6.4177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Parsons JB, Yao J, Frank MW, Jackson P, Rock CO. 2012. Membrane disruption by antimicrobial fatty acids releases low-molecular-weight proteins from Staphylococcus aureus. J Bacteriol 194:5294–5304. doi: 10.1128/JB.00743-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Coonrod JD. 1987. Rôle of surfactant free fatty acids in antimicrobial defenses. Eur J Respir Dis Suppl 153:209–214. [PubMed] [Google Scholar]
- 28.Thormar H, Hilmarsson H. 2007. The role of microbicidal lipids in host defense against pathogens and their potential as therapeutic agents. Chem Phys Lipids 150:1–11. doi: 10.1016/j.chemphyslip.2007.06.220. [DOI] [PubMed] [Google Scholar]
- 29.Wille JJ, Kydonieus A. 2003. Palmitoleic acid isomer (C16: 1Δ6) in human skin sebum is effective against gram-positive bacteria. Skin Pharmacol Appl Skin Physiol 16:176–187. doi: 10.1159/000069757. [DOI] [PubMed] [Google Scholar]
- 30.Bomar L, Brugger SD, Yost BH, Davies SS, Lemon KP. 2016. Corynebacterium accolens releases antipneumococcal free fatty acids from human nostril and skin surface triacylglycerols. mBio 7:e01725-15. doi: 10.1128/mBio.01725-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Desbois AP, Smith VJ. 2010. Antibacterial free fatty acids: activities, mechanisms of action and biotechnological potential. Appl Microbiol Biotechnol 85:1629–1642. doi: 10.1007/s00253-009-2355-3. [DOI] [PubMed] [Google Scholar]
- 32.Kabara JJ, Swieczkowski DM, Conley AJ, Truant JP. 1972. Fatty acids and derivatives as antimicrobial agents. Antimicrob Agents Chemother 2:23–28. doi: 10.1128/aac.2.1.23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Yoon BK, Jackman JA, Valle-González ER, Cho N-J. 2018. Antibacterial free fatty acids and monoglycerides: biological activities, experimental testing, and therapeutic applications. Int J Mol Sci 19:1114. doi: 10.3390/ijms19041114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sheu CW, Freese E. 1972. Effects of fatty acids on growth and envelope proteins of Bacillus subtilis. J Bacteriol 111:516–524. doi: 10.1128/JB.111.2.516-524.1972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zheng CJ, Yoo J-S, Lee T-G, Cho H-Y, Kim Y-H, Kim W-G. 2005. Fatty acid synthesis is a target for antibacterial activity of unsaturated fatty acids. FEBS Lett 579:5157–5162. doi: 10.1016/j.febslet.2005.08.028. [DOI] [PubMed] [Google Scholar]
- 36.Galán-Bartual S, Pérez-Dorado I, García P, Hermoso JA. 2015. Structure and function of choline-binding proteins, p 207–230. In Brown J, Hammerschmidt S, Orihuela C (ed), Streptococcus pneumoniae. Academic Press, Amsterdam, The Netherlands. doi: 10.1016/B978-0-12-410530-0.00011-9. [DOI] [Google Scholar]
- 37.Mellroth P, Daniels R, Eberhardt A, Rönnlund D, Blom H, Widengren J, Normark S, Henriques-Normark B. 2012. LytA, major autolysin of Streptococcus pneumoniae, requires access to nascent peptidoglycan. J Biol Chem 287:11018–11029. doi: 10.1074/jbc.M111.318584. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Tomasz A, Waks S. 1975. Mechanism of action of penicillin: triggering of the pneumococcal autolytic enzyme by inhibitors of cell wall synthesis. Proc Natl Acad Sci U S A 72:4162–4166. doi: 10.1073/pnas.72.10.4162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Moreillon P, Markiewicz Z, Nachman S, Tomasz A. 1990. Two bactericidal targets for penicillin in pneumococci: autolysis-dependent and autolysis-independent killing mechanisms. Antimicrob Agents Chemother 34:33–39. doi: 10.1128/aac.34.1.33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. 2009. BLAST+: architecture and applications. BMC Bioinformatics 10:421. doi: 10.1186/1471-2105-10-421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jolley KA, Bray JE, Maiden MCJ. 2018. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res 3:124. doi: 10.12688/wellcomeopenres.14826.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Grein F, Schneider T, Sahl H-G. 2019. Docking on lipid II—a widespread mechanism for potent bactericidal activities of antibiotic peptides. J Mol Biol 431:3520–3530. doi: 10.1016/j.jmb.2019.05.014. [DOI] [PubMed] [Google Scholar]
- 43.Grein F, Muller A, Scherer KM, Liu X, Ludwig KC, Klockner A, Strach M, Sahl HG, Kubitscheck U, Schneider T. 2020. Ca(2+)-daptomycin targets cell wall biosynthesis by forming a tripartite complex with undecaprenyl-coupled intermediates and membrane lipids. Nat Commun 11:1455. doi: 10.1038/s41467-020-15257-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Muller A, Wenzel M, Strahl H, Grein F, Saaki TNV, Kohl B, Siersma T, Bandow JE, Sahl HG, Schneider T, Hamoen LW. 2016. Daptomycin inhibits cell envelope synthesis by interfering with fluid membrane microdomains. Proc Natl Acad Sci U S A 113:E7077–E7086. doi: 10.1073/pnas.1611173113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Zielińska A, Savietto A, de Sousa Borges A, Martinez D, Berbon M, Roelofsen JR, Hartman AM, de Boer R, Van der Klei IJ, Hirsch AK, Habenstein B, Bramkamp M, Scheffers DJ. 2020. Flotillin-mediated membrane fluidity controls peptidoglycan synthesis and MreB movement. Elife 9:e57179. doi: 10.7554/eLife.57179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Parsons JB, Frank MW, Eleveld MJ, Schalkwijk J, Broussard TC, de Jonge MI, Rock CO. 2015. A thioesterase bypasses the requirement for exogenous fatty acids in the plsX deletion of S treptococcus pneumoniae. Mol Microbiol 96:28–41. doi: 10.1111/mmi.12916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Eijkelkamp BA, Begg SL, Pederick VG, Trapetti C, Gregory MK, Whittall JJ, Paton JC, McDevitt CA. 2018. Arachidonic acid stress impacts pneumococcal fatty acid homeostasis. Front Microbiol 9:813. doi: 10.3389/fmicb.2018.00813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Marrakchi H, Choi K-H, Rock CO. 2002. A new mechanism for anaerobic unsaturated fatty acid formation in Streptococcus pneumoniae. J Biol Chem 277:44809–44816. doi: 10.1074/jbc.M208920200. [DOI] [PubMed] [Google Scholar]
- 49.Mohedano ML, Amblar M, De La Fuente A, Wells JM, López P. 2016. The response regulator YycF inhibits expression of the fatty acid biosynthesis repressor FabT in Streptococcus pneumoniae. Front Microbiol 7:1326. doi: 10.3389/fmicb.2016.01326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Mohedano ML, Overweg K, De La Fuente A, Reuter M, Altabe S, Mulholland F, De Mendoza D, López P, Wells JM. 2005. Evidence that the essential response regulator YycF in Streptococcus pneumoniae modulates expression of fatty acid biosynthesis genes and alters membrane composition. J Bacteriol 187:2357–2367. doi: 10.1128/JB.187.7.2357-2367.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Faustoferri RC, Hubbard CJ, Santiago B, Buckley AA, Seifert TB, Quivey RG. 2015. Regulation of fatty acid biosynthesis by the global regulator C cp A and the local regulator F ab T in S treptococcus mutans. Mol Oral Microbiol 30:128–146. doi: 10.1111/omi.12076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Babraham Institute. 2019. Babraham Bioinformatics. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/.
- 53.Bolger AM, Lohse M, Usadel B. 2014. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30:2114–2120. doi: 10.1093/bioinformatics/btu170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Li H, Durbin R. 2009. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25:1754–1760. doi: 10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA, Hanna M, McKenna A, Fennell TJ, Kernytsky AM, Sivachenko AY, Cibulskis K, Gabriel SB, Altshuler D, Daly MJ. 2011. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43:491–498. doi: 10.1038/ng.806. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R, Genome Project Data Processing Subgroup. 2009. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25:2078–2079. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Quinlan AR, Hall IM. 2010. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26:841–842. doi: 10.1093/bioinformatics/btq033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Carver T, Thomson N, Bleasby A, Berriman M, Parkhill J. 2009. DNAPlotter: circular and linear interactive genome visualization. Bioinformatics 25:119–120. doi: 10.1093/bioinformatics/btn578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL. 2009. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Oxford University Press, Oxford, United Kingdom. [DOI] [PubMed] [Google Scholar]
- 60.Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods 25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
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