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. 2021 Nov 17;9(3):e01455-21. doi: 10.1128/Spectrum.01455-21

The Impact of Omega-3 Fatty Acids on the Evolution of Acinetobacter baumannii Drug Resistance

Maoge Zang a, Felise G Adams a, Karl A Hassan b, Bart A Eijkelkamp a,
Editor: Ayush Kumarc
Reviewed by: Helen Zgurskayad
PMCID: PMC8585491  PMID: 34762519

ABSTRACT

The bacterial pathogen Acinetobacter baumannii has emerged as an urgent threat to health care systems. The prevalence of multidrug resistance in this critical human pathogen is closely associated with difficulties in its eradication from the hospital environment and its recalcitrance to treatment during infection. The development of resistance in A. baumannii is in part due to substantial plasticity of its genome, facilitating spontaneous genomic evolution. Many studies have investigated selective pressures imposed by antibiotics on genomic evolution, but the influence of high-abundance bioactive molecules at the host-pathogen interface on mutation and rates of evolution is poorly understood. Here, we studied the roles of host fatty acids in the gain in resistance to common antibiotics. We defined the impact of the polyunsaturated fatty acids arachidonic acid and docosahexaenoic acid on the development of resistance to erythromycin in A. baumannii strain AB5075_UW using a microevolutionary approach. We employed whole-genome sequencing and various phenotypic analyses to characterize microbe-lipid-antibiotic interactions. Cells exposed to erythromycin in the presence of the fatty acids displayed significantly lower rates of development of resistance to erythromycin and, importantly, tetracycline. Subsequent analyses defined diverse means by which host fatty acids influence the mutation rates. This work has highlighted the critical need to consider the roles of host fatty acids in A. baumannii physiology and antimicrobial resistance. Collectively, we have identified a novel means to curb the development of resistance in this critical human pathogen.

IMPORTANCE The global distribution of multidrug resistance in A. baumannii has necessitated seeking not only alternative therapeutic approaches but also the means to limit the development of resistance in clinical settings. Highly abundant host bioactive compounds, such as polyunsaturated fatty acids, are readily acquired by A. baumannii during infection and have been illustrated to impact the bacterium’s membrane composition and antibiotic resistance. In this work, we show that in vitro supplementation with host polyunsaturated fatty acids reduces the rate at which A. baumannii gains resistance to erythromycin and tetracycline. Furthermore, we discover that the impact on resistance development is closely associated with the primary antimicrobial efflux systems of A. baumannii, which represent one of the major drivers of clinical resistance. Overall, this study emphasizes the potential of host macromolecules in novel approaches to circumvent the difficulties of multidrug resistance during A. baumannii treatment, with fatty acid supplements such as fish oil providing safe and cost-effective ways to enhance host tolerance to bacterial infections.

KEYWORDS: antimicrobial host lipids, free fatty acids, macrolides, resistance evolution, RND efflux, AdeABC, AdeIJK

INTRODUCTION

Acinetobacter baumannii is a Gram-negative, opportunistic pathogen that prevails in nosocomial settings and causes severe infections among patients admitted to the intensive care unit (1). A. baumannii came to notoriety as a troublesome wound-infecting pathogen in soldiers serving in Iraq (2), was subsequently included as an ESKAPE pathogen along with other major opportunistic pathogens (3), and has now been recognized as a critical pathogen by the WHO and CDC (4, 5). Infections by A. baumannii can lead to meningitis, pneumonia, and sepsis, with alarming mortality rates because victims are commonly immunocompromised (6) or suffer from comorbidities that exacerbate disease symptoms (7). The global distribution of multidrug-resistant (MDR) A. baumannii is alarming, as is its rapid development of clinical resistance. This can be attributed to the pathogen’s high levels of intrinsic resistance, robust ability to acquire foreign resistance determinants, and genome plasticity, allowing mutations to lead to resistance (8, 9). Proteins from the resistance-nodulation-cell division (RND) superfamily, known typically as Ade efflux systems in Acinetobacter species, play key roles in the development of MDR (1013). The three primary Ade multidrug efflux systems in A. baumannii are AdeABC, AdeFGH, and AdeIJK. These pumps also play key roles in bacterial virulence and physiology (12). The development of resistance in A. baumannii is driven largely by its existence in the hospital environment, where the use of a diverse array of antimicrobial compounds has been associated with constitutive upregulation of genes encoding RND efflux systems, particularly adeABC and adeIJK, via regulatory mutations (11, 14, 15). Specifically, selective pressure exerted by antimicrobials selects for direct mutations within the efflux systems or their corresponding regulatory components, including adeRS (adeABC) and adeN (adeIJK) (11, 14, 16, 17).

Antimicrobial resistance is mostly studied in standard laboratory media, and the impact of host molecules is thus overlooked. Fatty acids are highly abundant in most host niches, they are nearly indiscriminately acquired by A. baumannii, and they can impact A. baumannii physiology (1821). The nearly universal antimicrobial activity of the long-chain polyunsaturated fatty acids (PUFAs) (with ≥16 carbons and ≥2 double bonds) that belong to the omega-3 and omega-6 groups has been well established (19, 22). The concentration of PUFAs in the human plasma can vary considerably, from 0.1 mM to 0.6 mM, depending on dietary intake, with the shift toward western diets rapidly decreasing their accumulation within the host (23, 24). The presence of PUFAs is unfavorable to the bacteria, due to their high levels of structural dissimilarity in comparison with native fatty acid species, which are comparatively shorter and more saturated (25). Consistently, despite accumulating to lower abundance, docosahexaenoic acid (DHA) (with 22 carbons and 6 double bonds [omega-3]) demonstrates greater antimicrobial activity than arachidonic acid (AA) (with 20 carbons and 4 double bonds [omega-6]) with A. baumannii (19). The RND efflux system AdeIJK has been found to contribute to phospholipid homeostasis, which provides indirect protection against DHA stress (19). In contrast, recent analyses have shown that DHA incorporation in the A. baumannii phospholipid membrane affects the structure and function of the AdeABC RND efflux system (18). Considering the ability of A. baumannii to adapt rapidly to clinical treatment during infection and the intricate interplay between lipid homeostasis and antimicrobial resistance, such as that mediated by RND pumps, we sought to determine the impact of PUFAs on the ability of A. baumannii to gain resistance.

RESULTS

PUFAs impact antibiotic resistance and laboratory-based microevolution of MDR.

To establish the relative impact of distinct host-derived fatty acids on the antibiotic resistance profile of A. baumannii, we examined the MICs following AA (omega-6) or DHA (omega-3) supplementation. Both PUFAs resulted in 2- to 8-fold increased susceptibility to aminoglycoside antibiotics (gentamicin and streptomycin) (Table 1). Changes in resistance to macrolide antibiotics (erythromycin and azithromycin) were minimal, with only a 2-fold reduction in azithromycin resistance observed in the presence of AA. PUFA supplementation did not affect resistance to tetracycline, and only minimal changes in chloramphenicol resistance were observed (2-fold changes following DHA supplementation). Interestingly, supplementation with PUFAs negatively affected the efficacy of colistin (4-fold change with AA and 8-fold change with DHA). These resistance studies show that the omega-6 PUFA AA impacts A. baumannii resistance similarly to the omega-3 PUFA DHA, despite the differences in their accumulation and antimicrobial activities (19).

TABLE 1.

MIC analyses of A. baumannii AB5075_UW with or without PUFAs

Drug MIC (μg · ml−1)
Untreated Treated with 0.25 mM AA Treated with 0.25 mM DHA
Erythromycin 32–64 32 32a
Azithromycin 64a 32 64a
Colistin 2 16 8
Streptomycin 512a 256 128a
Gentamicin 1,024a 128 128a
Chloramphenicol 128a 128 64a
Tetracycline 0.3125a 0.3125 0.3125a
a

Data from previous work (18).

We next sought to study the potential of PUFAs to influence the development of antibiotic resistance in A. baumannii. We selected erythromycin as the screening compound, because its efficacy was unaffected by either PUFA, thus allowing the use of a consistent concentration across all conditions. Growth dynamic analyses revealed that 8 μg · ml−1 erythromycin induced a minimal but noticeable degree of perturbation (see Fig. S1 in the supplemental material). Overnight culturing on solid medium containing erythromycin (8 μg · ml−1) resulted in more than 50% of the population gaining an increase in resistance to the antibiotic (Fig. 1A). This was defined by scoring the growth on medium containing erythromycin at 24 μg · ml−1, a concentration that is nonpermissive to growth of untreated AB5075_UW cells (Fig. 1A). Although the relative abundance of clones with increased erythromycin resistance appeared to decrease when cells were grown in combination with either AA or DHA, this effect was only minor (Fig. 1A). Interestingly, exposure of A. baumannii AB5075_UW to 8 μg · ml−1 erythromycin also resulted in increased abundance of tetracycline-resistant clones (>25% of the total population) (Fig. 1B). PUFA-erythromycin cotreatment displayed profound impacts on the development of tetracycline resistance (Fig. 1B). This suggests that the presence of PUFAs, particularly DHA, may impact the prevalence of clones with enhanced resistance to erythromycin and tetracycline. To delineate subpopulations of clones based on different erythromycin and tetracycline susceptibilities (12 subpopulations in total), the results were aligned for each independent clone isolated from the three distinct treatment groups (Fig. 1C). The most dramatic changes following cotreatment with AA or DHA were identified in a population of clones with elevated erythromycin and tetracycline resistance (i.e., E2T2) (Fig. 1C). The average from four independently conducted experiments found that the percentages of clones in this subpopulation decreased 2-fold or 5-fold following cotreatment with AA or DHA, respectively, compared to erythromycin treatment alone (Fig. 1C). MIC analysis of 23 randomly selected E2T2 clones revealed average increases of 2-fold for erythromycin and 3-fold for tetracycline, compared to the E0T0 control group (22 clones) (see Fig. S2). In addition to erythromycin and tetracycline, the E2T2 clones displayed an increase in resistance to azithromycin.

FIG 1.

FIG 1

Microevolution of antibiotic resistance in A. baumannii. (A and B) The gain of resistance to erythromycin (Ery) at 24 μg · ml−1 (A) and tetracycline at 1.5 μg · ml−1 (B) in A. baumannii strain AB5075_UW was assessed after preexposure to erythromycin (8 μg · ml−1) overnight, with or without supplementation with 250 μM AA or DHA. Individual clones were scored based on their relative growth intensities in spot tests (erythromycin: E0, no growth; E1, minor growth; E2, intermediate growth; E3, full growth; tetracycline: T0, no growth; T1, intermediate growth; T3, full growth). (C) Subpopulations of clones were defined based on the combined growth intensity scores for erythromycin and tetracycline for each sample group (erythromycin only, erythromycin plus AA, and erythromycin plus DHA). Data represent the mean of 4 independent colony libraries for each condition. Statistical analyses were carried out using two-tailed Student’s t tests. *, P < 0.05; **, P < 0.01.

RND efflux pump overexpression is key to resistance gain.

To identify the genetic basis of the observed increase in resistance to erythromycin and tetracycline, whole-genome sequencing was performed on 6 randomly selected clones from the E2T2 subpopulation and 1 randomly chosen clone from the E0T0 subpopulation. Comparative genome analysis of the E2T2 subpopulation clones versus the AB5075_UW reference revealed that 4 of the 6 sequenced clones harbored a unique nonsynonymous single-nucleotide polymorphism (SNP) that mapped to adeRS, i.e., genes that encode the AdeRS two-component regulatory system (AdeSP154S, AdeSD167N, AdeSF170L, and AdeRI27S) (Fig. 2A). The remaining E2T2 strains harbored insertion sequence (IS)-mediated mutations associated with the adeIJK/adeN regulon. Genome analysis revealed integration of resident ISAba1 and ISAba13 elements upstream of the membrane fusion protein gene adeI (adeI::ISAba1) and the TetR-type transcriptional regulator gene adeN (adeN::ISAba13), respectively (Fig. 2B and C). The integrated ISAba1 element upstream of adeI was found to be in an appropriate orientation for the outward-facing promoter present in ISAba1 to increase transcription of the adeIJK RND efflux operon (Fig. 2D). ISAba13 integration occurred between the putative native promoter sequence responsible for transcription initiation of adeN and the corresponding start codon (Fig. 2C and E). Transcriptional profiling revealed that ISAba13 integration reduced adeN expression 13.4-fold, compared to that in the parental AB5075_UW cells (see Fig. S3).

FIG 2.

FIG 2

Genetic features of antibiotic-resistant clones. (A) Mapping of nonsynonymous mutations identified in the AdeRS two-component signal transduction system from sequenced E2T2 strains. Protein domain architectures of AdeR and AdeS are based on output from the SMART database (40) using sequences obtained from AB5075_UW annotation (GenBank accession number CP008706). The mutation changes and relative positions within AdeS and AdeR proteins are shown. The AdeSP154S substitution is located within the H-box motif of AdeS and is a highly conserved residue across classic HisKA-type DHp domains (pfam00512) (41). Both AdeSD167N and AdeSF170L substitutions are located at the C-terminal end of the DHp domain of AdeS. The AdeRI27S substitution is located within the REC domain of AdeR, 6 residues downstream from the first of three conserved D-box motifs that generate an acidic triad essential for phosphorylation. (B and C) Illustrations of the positions of the integrated IS elements, i.e., ISAba1 (B) and ISAba13 (C), and the surrounding genetic loci identified from sequenced E2T2 strains. Open arrows depict neighboring genes of interest and the direction of transcription. IS elements are displayed as rectangular boxes. Positions and orientations of the outward-facing promoter identified in ISAba1 (Pout ISAba1) (B) and the native adeN promoter (Pori) (C), which are represented by closed red and black arrows, respectively, in panels B and C. Relevant gene names are labeled. (D) An extended −10 promoter sequence present in some ISAba1 elements, which initiates high-level transcription of neighboring upstream genes (35, 42), was identified within the translocated ISAba1 genetic sequence. (D and E) The transposon target site duplication (TSD) sequences are underlined. Gene sizes and intergenic distances are not drawn to scale. TM, transmembrane domain; HAMP, histidine kinase, adenylyl cyclase, methyl-accepting protein, and phosphatase; CA, catalytic domain; REC, receiver domain; Trans reg_C, DNA-binding domain; RBS, ribosome binding site.

To ascertain the impact the identified mutations had on the adeABC and adeIJK RND efflux systems, transcriptional profiling of adeB and adeJ was performed on the panel of 6 E2T2 clones. Expression of adeB was found to be significantly upregulated (55- to 155-fold) in all 4 strains harboring distinct substitutions in AdeR/S, with AdeSD167N exhibiting the greatest change (Fig. 3A). Expression of adeJ was found to be significantly upregulated in the adeN::ISAba13 and adeI::ISAba1 clones, with ISAba1 integration having the greatest impact (38-fold). ISAba13-mediated downregulation of adeN expression resulted in a 5-fold increase in adeJ expression (Fig. 3B). To gain a greater understanding of the relative contribution of each unique mutation to antibiotic susceptibility, growth analyses in the presence of tetracycline (1 μg · ml−1) were performed. All strains displayed marked increases in tetracycline resistance, with AdeR127S and adeI::ISAba1 mutants showing the most significant increases (Fig. 3C). These findings suggest that both AdeABC and AdeIJK have efficient tetracycline efflux capacity, provided that their genes are transcriptionally activated.

FIG 3.

FIG 3

Overexpression of adeB and adeJ in resistant clones leads to tetracycline resistance. (A and B) The mRNA expression levels of adeB (A) and adeJ (B) were examined using qRT-PCR with mid-log-phase cultures of the wild-type strain (AB5075_UW), 6 sequenced representative E2T2 clones (AdeSP154S, AdeSD167N, AdeSF170L, AdeRI27S, adeN::ISAba13, and adeI::ISAba1), and an E0T0 control (AB5075_A22). All data are the mean of at least biological triplicates ± the standard error of the mean (SEM). Statistical analyses were performed using Student's t test. *, P < 0.05; **, P < 0.01; ***, P < 0.001. (C) Examination of tetracycline susceptibility was performed on the same panel of strains/clones. The tetracycline-induced delay was calculated by defining the time to reach 50% of the maximum growth in untreated cultures and cultures exposed to 1.5 μg · ml−1 tetracycline in LB broth using a microplate growth assay (OD600 measured every 30 min). The a denotes growth delays greater than 2 h for the AB5075_UW and AB5075_A22 control strains. All data are the mean of biological triplicates ± SEM. Statistical analyses were performed using one-way analysis of variance (ANOVA). **, P < 0.01; ***, P < 0.001; ****, P < 0.0001.

A. baumannii RND efflux systems are closely linked to cellular lipid homeostasis.

To examine the mechanism by which PUFAs reduce the development of RND-overexpressing clones, growth of AB5075_UW cells, an E0T0 control strain, and the 6 sequenced E2T2 clones was examined in the presence and absence of DHA (Fig. 4A). These analyses identified strain A. baumannii AdeRI27S as being hypersusceptible to DHA, while the other E2T2 clones displayed growth perturbations similar to those of the AB5075_UW or E0T0 control strains. This indicates that at least a proportion of mutants that overexpress adeABC are unlikely to propagate when exposed to erythromycin and DHA.

FIG 4.

FIG 4

DHA limits the development of RND-mediated resistance. (A) Three-hour growth analyses were performed with the wild-type strain (AB5075_UW), 6 sequenced representative E2T2 clones (AdeSP154S, AdeSD167N, AdeSF170L, AdeRI27S, adeN::ISAba13, and adeI::ISAba1), and an E0T0 control (AB5075_A22), with or without DHA supplementation (250 μM). (B) The adeJ mRNA expression levels in the wild-type (AB5075_UW) cells were examined following 30-min incubations with erythromycin (Ery) (8 μg · ml−1) and/or DHA (250 μM). UT, untreated. All data are the mean of biological triplicates ± SEM. Statistical analyses were performed using Student's t test. ns, not significant; *, P < 0.05; **, P < 0.01.

We previously identified a role for AdeIJK in A. baumannii DHA resistance (19) and hypothesized that its transcriptional derepression in the presence of PUFAs provides A. baumannii with transiently enhanced erythromycin resistance. Indeed, the transcriptional responses of A. baumannii AB5075_UW to either 8 μg · ml−1 erythromycin, 250 μM DHA, or the combination thereof revealed that erythromycin alone does not result in the transcriptional activation of adeJ but DHA leads to substantial derepression (Fig. 4B). This indicates that PUFAs may reduce the selective pressure for transposon-mediated adeIJK upregulation to occur when cells are exposed to erythromycin.

DISCUSSION

Microbial exposure to macrolides can occur as a direct result of their use as antimicrobials but also as a secondary effect of their use as immune modulators or regulators of pulmonary surfactant homeostasis (26, 27). The latter two uses are related to host lipid metabolism, i.e., preventing AA release for subsequent cyclooxygenase activation (28) or changing the lipid composition of pulmonary surfactant by as yet unknown mechanisms, respectively. As a result, macrolides are of significant interest for the treatment of cystic fibrosis patients (29). Despite their known interactions with lipids, our work showed that macrolide antibiotics retain similar anti-Acinetobacter activity in the presence of PUFAs. This may be a result of these molecules being substrates of both AdeABC and AdeIJK (13, 30); although AdeABC efflux activity is reduced in the presence of PUFA (18), the transcriptional activation of adeIJK, as illustrated in this study, may counteract this. In contrast to the minimal impact on resistance to macrolides, we showed that antimicrobial host fatty acids of both the omega-6 and omega-3 classes improved the efficacy of aminoglycosides in A. baumannii. This suggests that omega-6 PUFAs affect the structure and function of AdeABC, similar to findings described for DHA (18). Importantly, both PUFAs alleviated the antimicrobial activity of colistin, possibly through extracellular sequestration, which renders these cationic antimicrobial peptides too hydrophobic to readily pass the hydrophilic capsule and lipooligosaccharide barriers of the bacterium. This observation displays similarity to the enhanced resistance of Streptococcus pneumoniae to the antimicrobial peptide LL-37 following AA treatment (31). Considering the profound impact of fatty acids on antibiotic activity and their ubiquitous presence at the host-pathogen interface, compared to standard laboratory media (19), the supplementation of fatty acids based on niche-specific profiles (21) in in vitro resistance assays should be considered. Exactly how host fatty acids impact macrolide-A. baumannii interactions during infection remains unknown, but the work presented here underscores the importance of administering the appropriate antibiotic during treatment, because failed erythromycin treatment may compromise the efficacy of treatment with other antibiotics, such as tetracycline.

Despite a minimal impact on the immediate efficacy of macrolides, in this study we reveal novel mechanisms by which PUFAs affect A. baumannii in its ability to gain resistance to erythromycin and the unrelated antibiotic tetracycline. In single-isolate cultures, intrinsic resistance was mediated by adaptive mutations leading to either adeABC or adeIJK overexpression. The insertional disruption of the adeN locus, which encodes the transcriptional repressor of AdeIJK, by ISs is a known means by which clinical and laboratory strains can gain resistance (3235). However, the introduction of ISAba1 upstream of adeI has not been described previously, which may indicate that the dramatic adeIJK expression influences the virulence of this strain.

To our knowledge, the >10-fold upregulation of adeJ following DHA treatment is more dramatic than that observed for any antimicrobial compound studied to date, including AdeIJK efflux substrates, which does not include DHA itself (19). This indicated that AdeN ligands may include fatty acids and/or other hydrophobic compounds, and it sheds light on the putative endogenous/physiological function of AdeN in lipid homeostasis, which may also involve its cotranscribed phosphatidylglycerolphophate phosphatase (pgpB). This observation appears to be linked to the reduction in the mutation rate, as we speculate that the presence of PUFAs minimizes the need for adaptive evolution to increase adeIJK expression when cells are exposed to erythromycin. Furthermore, this highlights the potential risk of introducing resistance with PUFA treatment via adeIJK upregulation, which would require adequate selection of antimicrobial compounds that may bypass this particular efflux system.

Our analyses identified various resistant clones with a mutation in the AdeRS two-component system. This system is a well-known hot spot for mutations responsible for the upregulation of adeABC. The histidine kinase AdeS exists as a homodimer, and two of our mutations were identified in the dimerization and histidine phosphotransfer (DHp) domain, which was associated previously with enhanced AdeS activation (36). In addition, we identified a SNP within the response regulator AdeR at an uncharacterized residue (I27) that is not in close proximity to the DNA-binding domain (residues 138 to 247). Considering that D63 represents the phosphorylation site of AdeR, the AdeRI27S substitution in our study is likely to mediate a more direct impact on phosphorylation.

Subsequent examination showed that the AdeRI27S mutation leads to increased DHA susceptibility, which could, in part, suggest that the upregulation of adeABC in response to antibiotic stress is unfavorable in the presence of host lipids. Our previous analysis indicated that the incorporation of DHA in the A. baumannii membrane has a profound impact on the structural integrity of AdeB, leading to impaired efflux activity and increased susceptibility to aminoglycosides (18). This adverse effect of DHA on AdeABC could be associated with a reduction in adeRS mutations, since there is no benefit to upregulating a functionally disrupted efflux system. Overall, this observation was in contrast to the role of AdeIJK in providing A. baumannii with increased tolerance to DHA and its structural and functional resistance to a membrane enriched with DHA (19). The potentially opposing roles of AdeABC and AdeIJK in A. baumannii membrane biology were also observed in a phospholipidomic analysis following their independent overexpression in a triple-RND-mutant background (13). In particular, the abundance of the neutral phosphatidylethanolamine species decreased following overexpression of AdeIJK, whereas the abundance increased following overexpression of AdeABC.

Collectively, our study has revealed that host fatty acids have an impact on antibiotic efficacy and the development of resistance. Hence, this work provides new insights into the potential of nutritional supplementation in combatting the critical human pathogen A. baumannii. Fundamentally, this work has increased our understanding of the interplay between antimicrobial stress adaptation, RND efflux, and lipid homeostasis.

MATERIALS AND METHODS

Strains, culture media, and generation of resistant clones.

A. baumannii AB5075_UW and mutant derivatives (see Table S1 in the supplemental material) were cultured in Lennox medium (LB medium) or LB agar (1.5%). A library of AB5075_UW clones was generated by transferring colonies grown overnight on LB agar with erythromycin (8 μg · ml−1), with or without 250 μM AA or DHA, to a 96-well plate for subsequent nonselective propagation (see Fig. S4). Screening of the colony library for erythromycin and tetracycline resistance was achieved by spot plating (approximately 8 × 105 CFU per spot) onto solid medium. The concentrations selected, i.e., 24 μg · ml−1 erythromycin and 1.5 μg · ml−1 tetracycline, did not support wild-type AB5075_UW growth.

Bacterial growth assays.

Cultures in LB medium were incubated at 37°C with shaking in a FLUOstar Omega spectrophotometer (BMG Labtech), and mean optical density at 600 nm (OD600) values were determined every 30 min. The growth delay was determined by calculating the difference in the time for cultures to reach 50% of the maximal growth under treated versus untreated conditions using the 50% inhibitory concentration (IC50) calculation function in Prism v8.4.1 (GraphPad), as described previously (19, 37). The 20-ml cultures used for all other analyses were incubated at 37°C in an Innova 40R shaking incubator (Eppendorf) at 230 rpm until they reached mid-log phase (OD600 of 0.7).

MIC analysis.

The antibiotic resistance profile of A. baumannii AB5075_UW was determined using the microdilution method with cation-adjusted Mueller-Hinton (MH) medium, as described previously (38). The impact of PUFAs was assessed by supplementing MH medium with AA or DHA at 250 μM. The plates were sealed with a breathable film, placed in a humidity box, and incubated overnight at 37°C. MIC values were determined by visual examination.

Transcriptional analyses.

Overnight A. baumannii AB5075_UW and resistant clone cultures were grown to mid-log phase (OD600 of 0.7) in 20-ml LB cultures prior to RNA extraction. To examine the impact of erythromycin and DHA, AB5075_UW cultures were grown to an OD600 of 0.5 in 20-ml LB cultures, which were split into three 4-ml cultures; one culture was treated with 8 μg · ml−1 erythromycin, one culture was treated with 250 μM DHA, and the last culture was treated with both compounds concurrently. Cells were grown for another 30 min before RNA was extracted.

Isolation of RNA was performed using previously described methods (20). Briefly, cell pellets were lysed with QiaZol (Qiagen). Following phase separation, RNA was extracted from the aqueous phase using the RNeasy purification minikit (Qiagen), incorporating the on-column RNase-free DNase I (Qiagen) treatment according to the manufacturer’s recommendations. Quantitative reverse transcription PCR (qRT-PCR) was performed on a QuantStudio 7 Flex system (Thermo Fisher Scientific) with the Superscript III Platinum SYBR One-Step qRT-PCR kit (Thermo Fisher Scientific). Gene expression was normalized using the constitutively expressed housekeeping gene GAPDH. Oligonucleotides for qRT-PCR are listed in Table S2 in the supplemental material.

DNA extraction and whole-genome sequencing.

DNA was extracted on a QIAsymphony SP system with the QIAsymphony DSP virus/pathogen kit (Qiagen) according to the manufacturer’s instructions. The DNA concentration was quantified using the Quant-IT double-stranded DNA (dsDNA) high-sensitivity kit (Thermo Fisher Scientific).

Sequencing libraries were prepared from the pure A. baumannii DNA extract samples using the Nextera XT library preparation kit (Illumina Inc.) with slight modifications. One-half of the volume was used for tagmentation reagents, amplification reagents, and input DNA. Library cleanup was performed using the AxyPrep MAG PCR cleanup kit (Corning Inc., NY, USA), and libraries were pooled manually and sequenced on a NextSeq 550 platform with the NextSeq 500/550 midoutput kit v2.5 (300 cycles) (Illumina Inc.). Genome mutations were identified using breseq (39).

Supplementary Material

Reviewer comments
reviewer-comments.pdf (423.5KB, pdf)

ACKNOWLEDGMENTS

We are grateful to Lex Leong (SA Pathology) for assistance with whole-genome sequencing.

This work was supported by the National Health and Medical Research Council (Australia) through project grant 1159752 to B.A.E. K.A.H. is an ARC Future Fellow (grant FT180100123). M.Z. is supported by an Australian Government Research Training Program Scholarship.

We declare no conflicts of interest.

Footnotes

Supplemental material is available online only.

SUPPLEMENTAL FILE 1
Supplemental material. Download SPECTRUM01455-21_Supp_1_seq6.pdf, PDF file, 0.5 MB (513.5KB, pdf)

Contributor Information

Bart A. Eijkelkamp, Email: bart.eijkelkamp@flinders.edu.au.

Ayush Kumar, University of Manitoba.

Helen Zgurskaya, University of Oklahoma.

REFERENCES

  • 1.Morris FC, Dexter C, Kostoulias X, Uddin MI, Peleg AY. 2019. The mechanisms of disease caused by Acinetobacter baumannii. Front Microbiol 10:1601. doi: 10.3389/fmicb.2019.01601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Howard A, O'Donoghue M, Feeney A, Sleator RD. 2012. Acinetobacter baumannii: an emerging opportunistic pathogen. Virulence 3:243–250. doi: 10.4161/viru.19700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Rice LB. 2008. Federal funding for the study of antimicrobial resistance in nosocomial pathogens: no ESKAPE. J Infect Dis 197:1079–1081. doi: 10.1086/533452. [DOI] [PubMed] [Google Scholar]
  • 4.World Health Organization. 27 February 2017. WHO publishes list of bacteria for which new antibiotics are urgently needed. https://www.who.int/news/item/27-02-2017-who-publishes-list-of-bacteria-for-which-new-antibiotics-are-urgently-needed.
  • 5.Centers for Disease Control and Prevention. 2019. Antibiotic resistance threats in the United States, 2019. Centers for Disease Control and Prevention, Atlanta, GA. https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf. [Google Scholar]
  • 6.Wong D, Nielsen TB, Bonomo RA, Pantapalangkoor P, Luna B, Spellberg B. 2017. Clinical and pathophysiological overview of Acinetobacter infections: a century of challenges. Clin Microbiol Rev 30:409–447. doi: 10.1128/CMR.00058-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dexter C, Murray GL, Paulsen IT, Peleg AY. 2015. Community-acquired Acinetobacter baumannii: clinical characteristics, epidemiology and pathogenesis. Expert Rev Anti Infect Ther 13:567–573. doi: 10.1586/14787210.2015.1025055. [DOI] [PubMed] [Google Scholar]
  • 8.Lin M-F, Lan C-Y. 2014. Antimicrobial resistance in Acinetobacter baumannii: from bench to bedside. World J Clin Cases 2:787–814. doi: 10.12998/wjcc.v2.i12.787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Peleg AY, Seifert H, Paterson DL. 2008. Acinetobacter baumannii: emergence of a successful pathogen. Clin Microbiol Rev 21:538–582. doi: 10.1128/CMR.00058-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yoon EJ, Chabane YN, Goussard S, Snesrud E, Courvalin P, Dé E, Grillot-Courvalin C. 2015. Contribution of resistance-nodulation-cell division efflux systems to antibiotic resistance and biofilm formation in Acinetobacter baumannii. mBio 6:e00309-15. doi: 10.1128/mBio.00309-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Xu Q, Hua X, He J, Zhang D, Chen Q, Zhang L, Loh B, Leptihn S, Wen Y, Higgins PG, Yu Y, Zhou Z. 2020. The distribution of mutations and hotspots in transcription regulators of resistance-nodulation-cell division efflux pumps in tigecycline non-susceptible Acinetobacter baumannii in China. Int J Med Microbiol 310:151464. doi: 10.1016/j.ijmm.2020.151464. [DOI] [PubMed] [Google Scholar]
  • 12.Yoon EJ, Balloy V, Fiette L, Chignard M, Courvalin P, Grillot-Courvalin C. 2016. Contribution of the Ade resistance-nodulation-cell division-type efflux pumps to fitness and pathogenesis of Acinetobacter baumannii. mBio 7:e00697-16. doi: 10.1128/mBio.00697-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Leus IV, Weeks JW, Bonifay V, Smith L, Richardson S, Zgurskaya HI. 2018. Substrate specificities and efflux efficiencies of RND efflux pumps of Acinetobacter baumannii. J Bacteriol 200:e00049-18. doi: 10.1128/JB.00049-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hawkey J, Ascher DB, Judd LM, Wick RR, Kostoulias X, Cleland H, Spelman DW, Padiglione A, Peleg AY, Holt KE. 2018. Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection. Microb Genomics 4:e000165. doi: 10.1099/mgen.0.000165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Hammerstrom TG, Beabout K, Clements TP, Saxer G, Shamoo Y. 2015. Acinetobacter baumannii repeatedly evolves a hypermutator phenotype in response to tigecycline that effectively surveys evolutionary trajectories to resistance. PLoS One 10:e0140489. doi: 10.1371/journal.pone.0140489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lari AR, Ardebili A, Hashemi A. 2018. AdeR-AdeS mutations & overexpression of the AdeABC efflux system in ciprofloxacin-resistant Acinetobacter baumannii clinical isolates. Indian J Med Res 147:413–421. doi: 10.4103/ijmr.IJMR_644_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Salehi B, Ghalavand Z, Yadegar A, Eslami G. 2021. Characteristics and diversity of mutations in regulatory genes of resistance-nodulation-cell division efflux pumps in association with drug-resistant clinical isolates of Acinetobacter baumannii. Antimicrob Resist Infect Control 10:53. doi: 10.1186/s13756-021-00924-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zang M, MacDermott-Opeskin H, Adams FG, Naidu V, Waters JK, Carey AB, Ashenden A, McLean KT, Brazel EB, Jiang JH, Panizza A, Trappetti C, Paton JC, Peleg AY, Koper I, Paulsen IT, Hassan KA, O'Mara ML, Eijkelkamp BA. 2021. The membrane composition defines the spatial organization and function of a major Acinetobacter baumannii drug efflux system. mBio 12:e0107021. doi: 10.1128/mBio.01070-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Jiang JH, Hassan KA, Begg SL, Rupasinghe TWT, Naidu V, Pederick VG, Khorvash M, Whittall JJ, Paton JC, Paulsen IT, McDevitt CA, Peleg AY, Eijkelkamp BA. 2019. Identification of novel Acinetobacter baumannii host fatty acid stress adaptation strategies. mBio 10:e02056-18. doi: 10.1128/mBio.02056-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Adams FG, Pokhrel A, Brazel EB, Semenec L, Li L, Trappetti C, Paton JC, Cain AK, Paulsen IT, Eijkelkamp BA. 2021. Acinetobacter baumannii fatty acid desaturases facilitate survival in distinct environments. ACS Infect Dis 7:2221–2228. doi: 10.1021/acsinfecdis.1c00192. [DOI] [PubMed] [Google Scholar]
  • 21.Adams FG, Trappetti C, Waters JK, Zang M, Brazel EB, Paton JC, Snel MF, Eijkelkamp BA. 2021. To make or take: bacterial lipid homeostasis during infection. mBio 12:e0092821. doi: 10.1128/mBio.00928-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kengmo TA, Eijkelkamp BA, Peschel A. 2021. Bacterial adaptation strategies to host-derived fatty acids. Trends Microbiol S0966-842X(21)00134-7. doi: 10.1016/j.tim.2021.06.002. [DOI] [PubMed] [Google Scholar]
  • 23.Abdelmagid SA, Clarke SE, Nielsen DE, Badawi A, El-Sohemy A, Mutch DM, Ma DW. 2015. Comprehensive profiling of plasma fatty acid concentrations in young healthy Canadian adults. PLoS One 10:e0116195. doi: 10.1371/journal.pone.0116195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Lust CAC, Bi X, Henry CJ, Ma DWL. 2021. Development of fatty acid reference ranges and relationship with lipid biomarkers in middle-aged healthy Singaporean men and women. Nutrients 13:435. doi: 10.3390/nu13020435. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Sohlenkamp C, Geiger O. 2016. Bacterial membrane lipids: diversity in structures and pathways. FEMS Microbiol Rev 40:133–159. doi: 10.1093/femsre/fuv008. [DOI] [PubMed] [Google Scholar]
  • 26.Guillot L, Tabary O, Nathan N, Corvol H, Clement A. 2011. Macrolides: new therapeutic perspectives in lung diseases. Int J Biochem Cell Biol 43:1241–1246. doi: 10.1016/j.biocel.2011.05.009. [DOI] [PubMed] [Google Scholar]
  • 27.Faverio P, Bini F, Vaghi A, Pesci A. 2017. Long-term macrolides in diffuse interstitial lung diseases. Eur Respir Rev 26:170082. doi: 10.1183/16000617.0082-2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kanoh S, Rubin BK. 2010. Mechanisms of action and clinical application of macrolides as immunomodulatory medications. Clin Microbiol Rev 23:590–615. doi: 10.1128/CMR.00078-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Southern KW, Barker PM, Solis-Moya A, Patel L. 2012. Macrolide antibiotics for cystic fibrosis. Cochrane Database Syst Rev 11:CD002203. doi: 10.1002/14651858.CD002203.pub4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Knight DB, Rudin SD, Bonomo RA, Rather PN. 2018. Acinetobacter nosocomialis: defining the role of efflux pumps in resistance to antimicrobial therapy, surface motility, and biofilm formation. Front Microbiol 9:1902. doi: 10.3389/fmicb.2018.01902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.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]
  • 32.Wright MS, Mountain S, Beeri K, Adams MD. 2017. Assessment of insertion sequence mobilization as an adaptive response to oxidative stress in Acinetobacter baumannii using IS-seq. J Bacteriol 199:e00833-16. doi: 10.1128/JB.00833-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Villalón P, Valdezate S, Medina-Pascual MJ, Carrasco G, Vindel A, Saez-Nieto JA. 2013. Epidemiology of the Acinetobacter-derived cephalosporinase, carbapenem-hydrolysing oxacillinase and metallo-β-lactamase genes, and of common insertion sequences, in epidemic clones of Acinetobacter baumannii from Spain. J Antimicrob Chemother 68:550–553. doi: 10.1093/jac/dks448. [DOI] [PubMed] [Google Scholar]
  • 34.Vijayakumar S, Anandan S, Ms DP, Kanthan K, Vijayabaskar S, Kapil A, Ray P, Sistla S, Bhattacharya S, Wattal C, Thirunarayan, Deotale V, Mathur P, Walia K, Ohri VC, Veeraraghavan B. 2020. Insertion sequences and sequence types profile of clinical isolates of carbapenem-resistant A. baumannii collected across India over four year period. J Infect Public Health 13:1022–1028. doi: 10.1016/j.jiph.2019.11.018. [DOI] [PubMed] [Google Scholar]
  • 35.Hamidian M, Hall RM. 2013. ISAba1 targets a specific position upstream of the intrinsic ampC gene of Acinetobacter baumannii leading to cephalosporin resistance. J Antimicrob Chemother 68:2682–2683. doi: 10.1093/jac/dkt233. [DOI] [PubMed] [Google Scholar]
  • 36.Sun J-R, Jeng W-Y, Perng C-L, Yang Y-S, Soo P-C, Chiang Y-S, Chiueh T-S. 2016. Single amino acid substitution Gly186Val in AdeS restores tigecycline susceptibility of Acinetobacter baumannii. J Antimicrob Chemother 71:1488–1492. doi: 10.1093/jac/dkw002. [DOI] [PubMed] [Google Scholar]
  • 37.Hassan KA, Pederick VG, Elbourne LD, Paulsen IT, Paton JC, McDevitt CA, Eijkelkamp BA. 2017. Zinc stress induces copper depletion in Acinetobacter baumannii. BMC Microbiol 17:59. doi: 10.1186/s12866-017-0965-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wiegand I, Hilpert K, Hancock REW. 2008. Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nat Protoc 3:163–175. doi: 10.1038/nprot.2007.521. [DOI] [PubMed] [Google Scholar]
  • 39.Deatherage DE, Barrick JE. 2014. Identification of mutations in laboratory-evolved microbes from next-generation sequencing data using breseq. Methods Mol Biol 1151:165–188. doi: 10.1007/978-1-4939-0554-6_12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Letunic I, Bork P. 2018. 20 years of the SMART protein domain annotation resource. Nucleic Acids Res 46:D493–D496. doi: 10.1093/nar/gkx922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Huynh TN, Noriega CE, Stewart V. 2010. Conserved mechanism for sensor phosphatase control of two-component signaling revealed in the nitrate sensor NarX. Proc Natl Acad Sci USA 107:21140–21145. doi: 10.1073/pnas.1013081107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gallagher LA, Ramage E, Weiss EJ, Radey M, Hayden HS, Held KG, Huse HK, Zurawski DV, Brittnacher MJ, Manoil C. 2015. Resources for genetic and genomic analysis of emerging pathogen Acinetobacter baumannii. J Bacteriol 197:2027–2035. doi: 10.1128/JB.00131-15. [DOI] [PMC free article] [PubMed] [Google Scholar]

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