Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2016 Aug 9;113(34):9599–9604. doi: 10.1073/pnas.1523116113

Acinetobacter baumannii phenylacetic acid metabolism influences infection outcome through a direct effect on neutrophil chemotaxis

Md Saruar Bhuiyan a,b, Felix Ellett c, Gerald L Murray a,b, Xenia Kostoulias a,b, Gustavo M Cerqueira a,b, Keith E Schulze d, Mohd Hafidz Mahamad Maifiah e, Jian Li e, Darren J Creek e, Graham J Lieschke c, Anton Y Peleg a,b,f,1
PMCID: PMC5003227  PMID: 27506797

Significance

Acinetobacter baumannii is one of the most significant hospital-acquired bacterial pathogens, able to cause life-threatening infections and develop resistance to all currently available antibiotic agents. Here, we established zebrafish as a model to study real-time interactions between innate immune cells and A. baumannii during infection. We identified a bacterial metabolic pathway that, when inhibited, leads to enhanced immune responses toward the bacteria, improving bacterial clearance and reducing severity of disease. The enhanced immune response was secondary to accumulation of a metabolic by-product, which acted as a direct, bacterial-mediated attractant of neutrophils, the key immune cell important in response to bacterial infections. These results pave the way for novel therapeutic targeting of bacterial metabolism to stimulate immune responses to fight off infection.

Keywords: Acinetobacter baumannii, zebrafish, neutrophils, chemotaxis, phenylacetate

Abstract

Innate cellular immune responses are a critical first-line defense against invading bacterial pathogens. Leukocyte migration from the bloodstream to a site of infection is mediated by chemotactic factors that are often host-derived. More recently, there has been a greater appreciation of the importance of bacterial factors driving neutrophil movement during infection. Here, we describe the development of a zebrafish infection model to study Acinetobacter baumannii pathogenesis. By using isogenic A. baumannii mutants lacking expression of virulence effector proteins, we demonstrated that bacterial drivers of disease severity are conserved between zebrafish and mammals. By using transgenic zebrafish with fluorescent phagocytes, we showed that a mutation of an established A. baumannii global virulence regulator led to marked changes in neutrophil behavior involving rapid neutrophil influx to a localized site of infection, followed by prolonged neutrophil dwelling. This neutrophilic response augmented bacterial clearance and was secondary to an impaired A. baumannii phenylacetic acid catabolism pathway, which led to accumulation of phenylacetate. Purified phenylacetate was confirmed to be a neutrophil chemoattractant. These data identify a previously unknown mechanism of bacterial-guided neutrophil chemotaxis in vivo, providing insight into the role of bacterial metabolism in host innate immune evasion. Furthermore, the work provides a potentially new therapeutic paradigm of targeting a bacterial metabolic pathway to augment host innate immune responses and attenuate disease.


The opportunistic Gram-negative bacterium, Acinetobacter baumannii, is now threatening our current antimicrobial armamentarium. This bacterium has a particular predilection for infecting patients with compromised innate immune defenses such as those in intensive care units, where it is responsible for a diverse range of infections including ventilator-associated pneumonia, bacteremia, and urinary tract, skin, and wound infection (1). Despite an increase in A. baumannii infections and outbreaks in health care facilities (1), relatively little is known about its pathogenesis. As with other Gram-negative bacteria, A. baumannii lipopolysaccharide plays a critical role in immune stimulation, particularly through Toll-like receptor 4 (TLR4) and CD14, leading to the production of the neutrophil chemotactic factor IL-8 (2) and the proinflammatory cytokine TNF-α (3). Mice lacking TLR4 and CD14 are more susceptible to A. baumannii pulmonary infection (3). Neutrophil recruitment is also critical, with neutrophil depletion being associated with more severe disease and greater bacterial burdens and dissemination (4, 5). The specific drivers of neutrophil trafficking during A. baumannii infection have not yet been defined.

Fundamental advances in the understanding of host–pathogen interactions have recently emerged through the use of the vertebrate model system Danio rerio (zebrafish) (6). The zebrafish is a tropical freshwater fish that has a remarkably similar immune system to humans, with elaborate innate and adaptive immune response pathways (7). As embryos, zebrafish rely solely on innate immune defenses, including soluble components such as opsonins, cytokines, chemokines, and complement, as well as the innate cellular repertoire of antigen presenting and phagocytic cells (7, 8). The establishment of a functional adaptive immune system is delayed to approximately 3 wk postfertilization (7). This distinction in immune development makes zebrafish embryos ideally suited to study host innate immune responses to bacterial pathogens (9, 10). High-resolution, real-time imaging enables the mechanistic dissection of how host innate immune cells migrate and respond to a bacterial pathogen in vivo (6). For example, work in zebrafish has led to a paradigm change in the understanding of the importance of macrophages harboring and disseminating mycobacterial infection (11, 12), and the conserved role for nerve growth factor β and its receptor tyrosine kinase TrkA signaling in pathogen-specific host immunity against Staphylococcus aureus (13).

In the present study, we exploited the advantages of zebrafish to better understand A. baumannii pathogenesis and interrogated bacterial factors that determine neutrophil behavior in vivo. We showed that A. baumannii causes a lethal systemic infection in zebrafish, and that bacterial drivers of disease are conserved between zebrafish and mammals. Neutrophils were the dominant phagocyte responders to A. baumannii infection, and we identified that the A. baumannii phenylacetic acid catabolism pathway is an important mechanism used by the bacteria to assist in immune evasion. Loss of function of this metabolic pathway led to by-product accumulation dominated by phenylacetate (PA), which acted as a potent bacterial chemoattractant. These data identify a previously unknown mechanism of bacterial-guided neutrophil behavior in vivo and provide an example of the interaction between bacterial metabolism and host immunology.

Results

Systemic Infection with Live A. baumannii Causes Lethal Disease in Zebrafish.

One of the most life-threatening forms of A. baumannii disease is bloodstream infection (1). As A. baumannii is not known to be a natural zebrafish pathogen, we assessed its capacity to cause disease in zebrafish embryos. A reference hospital-acquired A. baumannii strain [American Type Culture Collection (ATCC) 17978] was inoculated into the circulation of embryos 48 h postfertilization (hpf). As few as 300 cfu of bacteria caused lethal disease, with mortality dependent on the infecting inoculum (Fig. 1A). Similar findings were observed for other clinical A. baumannii strains (AB307, A9844, AB0059, ATCC 19606) (Fig. S1 A–D). Neither injection of washed, heat-killed bacteria (Fig. 1A) nor culture filtrates from exponential or stationary-phase growth caused disease. These data show that live bacterial cells are required for A. baumannii pathogenesis in zebrafish.

Fig. 1.

Fig. 1.

A. baumannii infection in zebrafish. (A) Survival after bloodstream infection with live A. baumannii (n = 30 embryos, three biological replicates; P value is a comparison of 3 × 102 and 1 × 103 cfu per embryo by log-rank test). (B) Time-lapse confocal scanning laser microscopy showing red neutrophils [Tg(lyz:DsRed)nz50] phagocytosing and clearing A. baumannii–GFP. (Scale bar: 20 µm.) (C) LUs after infection into the somatic muscle of zebrafish after adjustment for trauma (PBS solution injection; mean ± SEM, n = 5 per experiment, three biological replicates).

Fig. S1.

Fig. S1.

Zebrafish survival after bloodstream infection with clinical A. baumannii strains: (A) AB307, (B) A9844, (C) AB0059, and (D) ATCC 19606 (n = 30 embryos, three biological replicates; P value is a comparison of 3 × 102 and 1 × 102 cfu per embryo by log-rank test). (E) Bacterial density over time in zebrafish. At a lower infection inoculum, zebrafish were able to control and clear infection [median (range) of five homogenized embryos at each time point, pooled data from four biological replicates and compared using unpaired t test with Welch’s correction]. (F) When zebrafish were infected into the yolk sac, hypersusceptibility to lethal infection was observed (n = 30 embryos, three biological replicates; P value is a comparison of 1.6 × 102 and 1 × 103 cfu per embryo by log-rank test). (G) Histopathological section taken at 2 h through a localized somatic muscle infection with A. baumannii–GFP. Neutrophils are red fluorescent [Tg(lyz:DsRed)nz50] with DAP counterstain (white arrow indicates phagocytosed bacteria). (Scale bar: 40 µm.)

To determine the ability of zebrafish to mount an effective response to A. baumannii bloodstream infection, we performed in vivo bacterial growth kinetic studies after infection with 1 × 103 cfu of A. baumannii per embryo (Fig. S1E). The bacterial burden increased to 20 h postinfection (hpi) but then subsided by 44 h to undetectable levels (Fig. S1E), suggesting that zebrafish can mount an innate immune response that clears an initially expanding bacterial population. Conversely, after inoculation of A. baumannii into the zebrafish yolk sac, a site devoid of innate immune cells (14), zebrafish were hypersusceptible to lethal disease (Fig. S1F), further supporting a role of innate immune responses in the defense against A. baumannii.

Protective Phagocyte Responses to A. baumannii Infection in Zebrafish.

In mammals, neutrophils play an important role in response and clearance of A. baumannii infection (4, 5). To examine phagocyte–A. baumannii interactions in zebrafish, we used transgenic embryos with fluorescently labeled leukocytes. Localized infection with GFP-expressing bacteria (A. baumannii) was established within somatic muscle. Within minutes of inoculation, neutrophils migrated to the site of A. baumannii infection, where they accumulated, phagocytosed bacteria, and then migrated away, clearing the bulk of infection by 4 h (Fig. 1B and Movie S1). Histopathology of the infection site confirmed neutrophilic phagocytosis of bacteria (Fig. S1G). Macrophages, which have also been shown to be important first responders to A. baumannii infection in mammals (15), were also recruited to the infection site but appeared to have less phagocytic activity (Movie S2), and similar numbers were seen with a tissue trauma control (PBS solution injection) (Fig. 1C). These data highlight the specificity of neutrophils in responding to pathogen-associated factors and macrophages in responding to tissue damage.

Within neutrophils, pathogen degradation typically occurs by hydrolytic enzymes within acidic phagolysosomes, whereas the remainder of the cytoplasm remains at neutral pH (16). To characterize the intracellular handling of A. baumannii following phagocytosis by neutrophils in vivo, we labeled A. baumannii with pHrodo-dextran, which emits red fluorescence only under low pH conditions. In Tg(mpx:GFP) zebrafish with green fluorescent neutrophils, red pHrodo-dependent fluorescence emerged within cytoplasmic vacuoles at 50 min postinfection (Fig. 2A, Fig. S2A, and Movie S3), confirming that intracellular handling and degradation of A. baumannii following neutrophil phagocytosis is within acidic phagolysosomes.

Fig. 2.

Fig. 2.

Neutrophils are indispensible for zebrafish survival from A. baumannii infection. (A) Phagocytosed A. baumannii (pHrodo-dextran stain, white arrow) is handled within acidic phagolysosomes within a neutrophilic vacuole at 50-min postinfection [Tg(mpx:GFP)il14 embryos with green fluorescent neutrophils were used]. (Scale bar: 20 μm.) Survival of neutrophil-depleted embryos (csf3r MO) (B) or macrophage-depleted embryos (irf8 MO) (C) after bloodstream infection with A. baumannii. Comparison is made vs. A. baumannii-infected embryos injected with control morpholino (Ctrl MO; P < 0.001; n = 30 embryos, three biological replicates).

Fig. S2.

Fig. S2.

(A) After phagocytosis, A. baumannii is handled within acidic phagolysosomes as shown by the red fluorescence (pHrodo-dextran stain) within a neutrophilic vacuole (white arrow) at 50 min postinfection [Tg(mpx:GFP)il14 embryos with green fluorescent neutrophils were used]. In each panel, the maximum-projection z-stack image (i) is supplemented by x (ii) and y projections (iii). (B) Whole-embryo neutrophil numbers were counted using ImageJ at 48 hpf. Neutrophil numbers were decreased in csf3r MO-injected embryos and increased in irf8 MO-injected embryos (n = 15 per group pooled from three independent experiments; error bars represent mean ± SD). (C) Whole-embryo macrophage numbers were counted by using ImageJ at 48 hpf. Macrophage numbers were decreased in irf8 MO-injected embryos and were unchanged in csf3r MO-injected embryos. Asterisks represent comparison between control MO and csf3r MO or irf8 MO (n = 15 per group pooled from three independent experiments; error bars represent mean ± SD; *P ≤ 0.05 and **P < 0.01, one-way ANOVA, Kruskal–Wallis test). (D) Zebrafish infected with the Acinetobacter quorum-sensing mutant (ΔabaI) showed greater survival compared with wild-type Acinetobacter (M2 strain) and the complemented strain (pabaI) in zebrafish (P value is a comparison of M2 and ΔabaI) and (E) a murine septicemia model (n = 15 per group; P value is a comparison of M2 and ΔabaI by log-rank test).

To further characterize the functional role of leukocytes in A. baumannii infection, we depleted zebrafish of neutrophils by knocking down the gene encoding the zebrafish ortholog of the granulocyte colony stimulating factor receptor [colony stimulating factor 3 receptor (csf3r)] (17). This led to greater susceptibility of zebrafish embryos to lethal A. baumannii infection (Fig. 2B). In contrast, irf8 knockdown, which depletes macrophages but expands the neutrophil population (18), did not impact on A. baumannii infection survival (Fig. 2C and Fig. S2 B and C). These data suggest a greater functional requirement for neutrophils than macrophages in controlling A. baumannii infection.

Bacterial Determinants of Virulence in Mammals Are Conserved in Zebrafish.

Although a number of bacterial virulence mechanisms are host-specific (19), some are likely conserved across a range of higher-order species, including insects, fish, and mammals (20). To assess the predictive potential of zebrafish for A. baumannii virulence, we first assessed A. baumannii mutants with deletions in genes that encode a sensor histidine kinase (ΔgacS) and a response regulator (ΔgacA), both of which have displayed marked attenuation for virulence in a murine septicemia model (21). A. baumannii ΔgacS and ΔgacA were significantly attenuated for virulence compared with wild-type A. baumannii in a zebrafish bloodstream infection model (Fig. 3A). Complementation by expressing the full-length copies of the deleted genes restored virulence to wild-type A. baumannii levels (Fig. 3A). Moreover, neutrophil depletion using the csf3r morpholino restored the virulence capabilities of A. baumannii ΔgacS (Fig. 3B), suggesting that the virulence attenuation of this mutant was neutrophil-dependent.

Fig. 3.

Fig. 3.

A. baumannii virulence is conserved between zebrafish and mammals. (A) Zebrafish survival after bloodstream infection with A. baumannii mutants defective in virulence regulation (ΔgacS and ΔgacA) and corresponding complemented strains (pgacS and pgacA; P value is comparison between ΔgacS and pgacS; n = 30 embryos, three biological replicates). (B) Neutrophil depletion using a csf3r morpholino (MO) restored the virulence of A. baumannii ΔgacS compared with zebrafish injected with a control morpholino (Ctrl MO; P < 0.001).

Quorum-sensing is an evolutionary conserved signaling mechanism between cells within a population that facilitates the control of growth, nutrient acquisition, virulence, and other biological processes in bacteria (22, 23). Quorum sensing is yet to be established as a virulence factor in Acinetobacter. We tested an Acinetobacter M2 mutant with a deletion of the autoinducer synthase gene (abaI), which is necessary for 3-hydroxy-C12-homoserine lactone production (24). Compared with wild-type Acinetobacter M2 infection, zebrafish infected with Acinetobacter ΔabaI had significantly greater survival (Fig. S2D). Virulence was partly restored with complementation. These findings were then corroborated in a mammalian septicemia model (Fig. S2E). Together, these data show that diverse intrinsic Acinetobacter virulence determinants are shared for infections in zebrafish and mammals, and support the use of zebrafish to study established, as well as new, mechanisms of Acinetobacter disease.

An A. baumannii Global Virulence Regulator Drives Extravascular Neutrophil Migration Patterns During Infection.

We have shown that neutrophils orchestrate a coordinated response to a localized A. baumannii infection including rapid migration to the site of infection, phagocytosis, and bacterial processing within phagolysosomes, followed by migration away. Thus far, infection model studies have concentrated on host-derived factors that determine neutrophil chemotaxis such as IL-8, leukotriene B4, C5a, and hydrogen peroxide (2, 10, 25, 26). Less is known about bacterial factors that directly drive neutrophil migratory patterns and trafficking. During localized tissue infections into the zebrafish somatic muscle, we observed a difference in neutrophil behavior with the A. baumannii ΔgacS mutant. Although the neutrophils migrated to the infection site and phagocytosed bacteria, they failed to migrate away as occurred in wild-type A. baumannii infection (Fig. 4A and Movie S4). This resulted in persisting clusters of neutrophils at the infection site until 48 hpi (Fig. 4B and Fig. S3A). Importantly, complementation of ΔgacS restored neutrophil migratory patterns to those of wild-type (Fig. 4B). As a control, other virulence-attenuating A. baumannii deletion mutants (ΔabaI and ΔargH) were tested but showed wild-type neutrophil migratory patterns (Fig. 4B), highlighting the specificity of this response to A. baumannii ΔgacS. To control for site of infection, we also infected zebrafish in the otic vesicle, which, under normal conditions, is devoid of neutrophils, but is another established site for studying a localized infection. Similar findings were observed (Fig. 4C and Fig. S3B).

Fig. 4.

Fig. 4.

Altered in vivo neutrophil migratory patterns during A. baumannii infection. (A) Localized somatic muscle infection with A. baumannii ΔgacS led to greater neutrophil units at the site of infection and a loss of migration away compared with wild-type A. baumannii infection (mean ± SEM from three biological replicates). (B) Neutrophil units at the site of a localized somatic muscle infection 48 hpi showed restoration of neutrophil numbers with gacS complementation (pgacS) and no abnormalities with other A. baumannii virulence-associated mutants (ΔargH, ΔabaI; mean ± SEM, three biological replicates). (C) Infection of the otic vesicle (red circle) with wild-type A. baumannii (i) and ΔgacS (ii) imaged at 48 hpi. (Magnification: 10×.) (D) Cell tracking analysis of neutrophil movement after infection with WT and ΔgacS strains. A chemotactic index (red, movement toward infection; blue, movement away) and velocity (thickness of the line) are indicated (representative experiment from five biological replicates). Asterisks in A and B denote comparison between wild-type A. baumannii and ΔgacS (*P ≤ 0.05).

Fig. S3.

Fig. S3.

(A) Localized somatic muscle infection (red rectangle) imaged at 48 hpi with wild-type A. baumannii (ATCC 17978) (i), ΔgacS (ii), and the complemented strain (pgacS) (iii). (B) Infection into the otic vesicle (red circle) with A. baumannii ΔargH and ΔabaI at 48 hpi showing no evidence of neutrophil clustering. (C) Cell-tracking analysis of neutrophil movement after infection with WT and ΔgacS strains. A chemotactic index (red, movement toward infection; blue, movement away) and velocity (thickness of the line) are indicated (representative experiment from five biological replicates). This image is an enlarged version of Fig. 4D for a clearer view of the cell-tracking analysis. (Magnification: 10×.)

To characterize neutrophil dynamics in more detail, we used time-lapse confocal microscopy and 3D cell tracking software to quantify neutrophil migratory parameters (Fig. 4D and Fig. S3C). Following infection with wild-type A. baumannii, neutrophils migrated to and from the site of infection consistently during the 5-h observation period (Fig. 4D). However, following infection with A. baumannii ΔgacS, there was intense neutrophil migration to the site of infection during the first 75 min, followed by minimal further neutrophil ingress or egress for the remainder of the observation period (Fig. 4D). To determine if this neutrophil response coincided with increased host-derived chemotactic stimuli, we quantified at 1 h and 12 h after tail muscle infection the expression of mRNA encoding the chemokine IL-8, which is an established host-derived chemotaxin in tissue infection (2), and leukotriene A4 (LTA4) hydrolase that converts LTA4 to LTB4 (27). The expression of both mRNAs increased with infection, but no difference was seen between wild-type and A. baumannii ΔgacS (Fig. S4A). Collectively, these data indicate the presence of a strong and persistent chemoattractant in A. baumannii ΔgacS infection driving vigorous neutrophil influx followed by migratory arrest, and opens the possibility that this is bacterially derived.

Fig. S4.

Fig. S4.

(A) Relative gene expression of IL-8 and Lta4H in wild-type A. baumannii (ATCC 17978) and ΔgacS-infected zebrafish embryos at 1 and 12 hpi. Compared with uninfected embryos, mRNA for IL-8 and Lta4H was increased, but there was no significant difference between wild-type A. baumannii and ΔgacS-infected embryos. Experiments were performed at least in triplicate with three biological replicates (mean ± SEM). (B) Neutrophil clustering was not seen for an A. baumannii mutant involving another GacS-regulated gene (csuD) in a somatic muscle (red rectangle) (i) or otic vesicle (red circle) (ii) infection at 48 hpi. (C) Neutrophil chemotaxis was seen, but dwelling was not observed for heat-killed A. baumannii ΔpaaA (HK ΔpaaA) infection at 48 hpi. (Magnification: B and C, 10×.)

Neutrophil Dwelling in A. baumannii Infected Tissue Is Mediated by an Impaired Phenylacetic Acid Catabolic Pathway.

A. baumannii GacS is a global virulence regulator, controlling 674 genes across diverse functions (21). Interestingly, after deletion of A. baumannii gacS, the genes with greatest repression (as much as 200-fold) belonged to a single operon made up of 15 coding sequences known as the paa operon (21). The function of this operon is to degrade aromatic compounds such as PA, which is derived from phenylalanine, to form acetyl- and succinyl-CoA used in the TCA cycle (28). We therefore hypothesized that A. baumannii ΔgacS is altering neutrophil responses through repression of the paa operon, leading to accumulation of aromatic compounds and subsequent bacterial-driven chemoattraction.

To test whether the ΔgacS-mediated neutrophil response is caused by loss of the PA catabolic pathway, we induced a localized infection in the zebrafish otic vesicle with an early PA pathway A. baumannii mutant (ΔpaaA). As shown in Fig. 5A, neutrophil responses were the same as that seen for A. baumannii ΔgacS (Fig. 4C), with prolonged neutrophil dwelling at the site of infection compared with wild-type A. baumannii. The phenotype was restored to wild-type levels with complementation (ppaaA) (Fig. 5A). Consistent with there being neutrophil relocation and clustering in the otic vesicle and not local neutrophil proliferation, we documented that neutrophil aggregation in the otic vesicle during A. baumannii ΔpaaA infection was concurrent with reduction of neutrophils normally resident in the caudal hematopoietic tissue (Fig. 5B). Highlighting the specificity of this neutrophilic response to A. baumannii ΔpaaA, we infected zebrafish with another isogenic A. baumannii mutant with a deletion in a GacS-regulated gene csuD (21). No difference in neutrophil trafficking compared with wild-type was seen (Fig. S4B).

Fig. 5.

Fig. 5.

PA is a bacterial-driven chemoattractant. (A) Neutrophil accumulation imaged 48 hpi of the otic vesicle (red circle). (B) The observed neutrophil clustering was associated with a reduction in neutrophils normally resident in the caudal hematopoietic tissue assessed at 48 h. The functional effect of this neutrophilic response to A. baumannii ΔpaaA infection was a reduced bacterial burden (C) and increased zebrafish survival (D) compared with wild-type A. baumannii and the complemented strain (ppaaA; P value is a comparison of ΔpaaA and ppaaA by log-rank test). (E) Attraction of neutrophils to the otic vesicle 6 hpi of culture filtrate. (F) Concentration of PA in culture filtrates. (G) Injection of purified PA into the otic vesicle was sufficient to attract a greater number of neutrophils within 2 h of injection compared with PBS solution. (H) Neutrophil chemotaxis toward PA (0.05 M) in an ex vivo neutrophil transwell migration assay using mouse-derived neutrophils. fMLP was used as a positive control. For all experiments, column bars represent the mean ± SEM, performed at least in triplicate, and the asterisks denote comparison between wild-type A. baumannii and ΔpaaA for B, C, and F, between LB and wild-type, ΔpaaA, and ppaaA for E, and between PA and PBS control for G and H; letter ϕ denotes comparison between wild-type and ΔpaaA for E by one-way ANOVA (Kruskal–Wallis test, *P ≤ 0.05, **P < 0.01, and ФP ≤ 0.05). (Magnification: 10×.)

To determine the functional impact of this neutrophil dwelling response on bacterial survival, we assessed bacterial densities at 6 hpi for wild-type A. baumannii, ΔpaaA, and complement strains (all grow similarly in vitro). Significantly fewer bacteria were found for ΔpaaA (Fig. 5C), and this was associated with attenuated virulence for the ΔpaaA mutant compared with wild-type and complement strains (Fig. 5D). Together, these data indicate that the A. baumannii PA catabolic pathway is important in mediating neutrophil chemotaxis and tissue responses to acute infection, and may be a mechanism by which A. baumannii uses for immune evasion and disease progression.

PA Mediates Neutrophil Chemotaxis.

To confirm whether a metabolic by-product was accumulating in the tissues after infection with A. baumannii ΔpaaA, we first injected the otic vesicle of zebrafish with A. baumannii culture filtrate taken from stationary-phase in vitro growth (Fig. 5E). Neutrophil chemotaxis and dwelling occurred with supernatant taken from A. baumannii ΔpaaA, whereas neutrophil chemotaxis was less with supernatant from wild-type and complemented A. baumannii strains (Fig. 5E). Interestingly, injection of washed, heat-killed A. baumannii ΔpaaA caused neutrophil chemotaxis, but neutrophil dwelling was not observed (Fig. S4C), indicating that metabolism from live bacteria is required for the production of the causative factor.

To identify the molecule responsible for the observed neutrophil responses, we performed untargeted global metabolomics by MS on culture filtrate taken from wild-type A. baumannii, ΔpaaA and the complemented strain. In total, more than 1,600 metabolite features were detected, and the only metabolite that showed a significant accumulation (more than twofold; P < 0.05) in A. baumannii ΔpaaA compared with the wild-type and complemented strains was putatively identified as PA (Fig. S5 and Dataset S1). Subsequent identification and accurate quantification of PA by using targeted liquid chromatography (LC)/MS confirmed fourfold accumulation of PA in ΔpaaA supernatant compared with wild-type (Fig. 5F). PA is an intermediate product of the bacterial phenylalanine metabolic pathway, and a direct substrate of paaA. To confirm that PA was the causative driver of the observed neutrophil tissue responses, we injected purified PA (Sigma) into the otic vesicle of zebrafish at varying concentrations. This showed a bell-curve dose–response relationship characteristic of chemoattractants (29), with a concentration as low as 3.4 ng per embryo having an effect, and peaking at 37 ng per embryo (Fig. S6A). Neutrophil migration was seen within 2 hpi (Fig. 5G). When purified PA was added to wild-type culture filtrate and injected into the otic vesicle of zebrafish, we observed the same neutrophil trafficking characteristics as observed for infection with A. baumannii ΔpaaA (Fig. S6B). Furthermore, the addition of purified PA to wild-type A. baumannii cells before infection led to greater embryo survival compared with infection with wild-type A. baumannii alone (Fig. S6C). Finally, to determine if PA was acting directly on neutrophils rather than through stimulation of endogenous cytokines, and to assess whether this effect was observed with mammalian neutrophils, we performed ex vivo neutrophil migration assays by using murine bone marrow-derived neutrophils. Purified PA caused significantly greater neutrophil transmigration compared with the control (Fig. 5H). Together, these data confirm that, in the absence of a functional PA catabolic pathway, PA accumulates with live bacterial cells and then acts as a bacterial-driven neutrophil chemoattractant.

Fig. S5.

Fig. S5.

(A) Relative metabolite levels in the supernatant of ΔpaaA mutant relative to the wild-type (blue) or the complemented strain ppaaA (red). A total of 1,626 unique metabolite features were detected. Putative identifications were based on accurate mass (IDEOM software). Metabolites that were significantly different in the mutant compared with WT and complemented strains (ppaaA) are shown. PA was the only metabolite with more than twofold difference compared with WT and complement strain. (B) PA levels were higher in the supernatant of the paaA mutant strain (ΔpaaA) compared with the WT and complemented strain. Mean ± SD of LC/MS peak intensities (n = 4). (C) Overlay of extracted ion chromatograms for PA in culture supernatant samples [n = 4 for each of WT (light blue), ΔpaaA (red), and ppaaA (dark blue)] from HILIC-MS metabolomics data. The QC (green) represents a pooled metabolite extract that was analyzed periodically throughout the batch to confirm assay reproducibility. (D) Raw LC/MS data from quantitative analysis of ΔpaaA culture media with C18 reversed-phase chromatography showing precise coelution of PA (blue) with 13C2-PA internal standard (red; Upper) and high-resolution mass spectra of PA (m/z 135.0455) and 13C2-PAA (m/z 137.0522; Lower).

Fig. S6.

Fig. S6.

(A) Neutrophil chemotactic response to varying concentrations of purified PA injected into the zebrafish otic vesicle and quantified at 6 hpi. (B) The addition of PA (37 ng) to culture filtrate from wild-type A. baumannii was sufficient to elicit a neutrophil clustering response after injection into the otic vesicle (red circle) at 48 hpi. (Magnification: 10×.) (C) Survival after bloodstream infection with live wild-type A. baumannii mixed with PA led to greater survival of embryos compared with infection with wild-type A. baumannii alone (n = 30 embryos, three biological replicates; P < 0.001, log-rank test).

Discussion

A. baumannii continues to be a problematic Gram-negative bacterial pathogen within health care institutions, with reports of pandrug resistance threatening our modern-day antibiotic armamentarium. As a consequence, we urgently require an improved understanding of the interactions between A. baumannii and the host during acute infection to provide the foundations for future therapeutic strategies. We developed a zebrafish model to study the molecular mechanisms of A. baumannii–host interactions. Through use of real-time fluorescent microscopy and cell tracking, we demonstrated an interaction between bacterial metabolism and host innate immune response. Inhibition of the A. baumannii phenylacetic acid catabolism pathway led to the accumulation of PA as a metabolic by-product, which was shown to be a direct bacterial-driven chemoattractant, causing neutrophils to avidly migrate to the site of infection and dwell. The functional impact of this pronounced neutrophilic response was a reduction in bacterial burden and attenuated disease. Targeting a metabolic pathway with the intention of augmenting host innate immune response provides a potentially new paradigm for the treatment of challenging superbugs such as A. baumannii.

Zebrafish have now been used as a model to study the pathogenesis of diverse infectious diseases (9, 30–33). Bacteria such as Mycobacterium marinum, Salmonella enterica serovar Typhimurium, S. aureus, and Shigella flexneri have all displayed inoculum-dependent acute lethality in zebrafish, with survival correlating with bacterial growth in the host. By testing defined A. baumannii mutants, we were able to show that, for some virulence factors, virulence in zebrafish correlated with that observed in a mammalian model. A. baumannii GacS is a two-component signal transduction system that is essential for disease in a mouse septicemia model (21); likewise, mutants in this system were highly attenuated for disease in zebrafish. We also showed that quorum sensing is required for A. baumannii virulence in zebrafish and a mammalian host. These data support the utility of zebrafish as a facile, in vivo model for the study of new, as well as established, bacterial virulence mechanisms, and strengthen the idea that conservation of bacterial virulence may exist across a range of multicellular eukaryotic species.

Zebrafish and humans share very similar immune systems in terms of cellular anatomy and genetic regulation (6). Young zebrafish embryos (< 3 wk post fertilization) rely solely on innate immunity, which makes them ideal for the study of initial host responses to bacterial pathogens. By using several lines of evidence, we showed that innate immune cells, particularly neutrophils, were indispensible for zebrafish survival from A. baumannii infection. A lower inoculum of A. baumannii administered i.v. was cleared by zebrafish after ∼44 h, whereas administration of the same dose into the yolk sac (devoid of phagocytic cells) was lethal. In a localized somatic muscle infection, neutrophils predominated as infection-specific first responders and showed greater phagocytic function than macrophages. Finally, selective depletion of zebrafish neutrophils increased susceptibility to acute lethal infection, whereas depletion of macrophages had no significant effect. Neutrophil depletion also restored the virulence of bacterial mutants that were attenuated for disease. These data support findings observed in mammalian hosts whereby depletion of neutrophils exacerbated A. baumannii infection (5, 34), whereas macrophage depletion had a limited impact on disease (15).

An impressive feature of zebrafish is the ability to visualize real-time infection dynamics at the cellular level, made possible by their optical transparency and the availability of well-characterized transgenic reporter fish lines that selectively fluoresce host innate immune cells. By using fluorophore-marked bacteria, we used high-resolution, time-course imaging experiments to delineate individual leukocyte responses to A. baumannii invasion in vivo, and, more specifically, study the drivers of neutrophil migration during an acute infection. For one of our bacterial mutants (ΔgacS), we observed that neutrophils avidly migrated to the site of infection and then failed to migrate away as seen with wild-type bacterial infection. By using a series of isogenic A. baumannii mutants, we showed that a mutant in the phenylacetic acid catabolism pathway mirrored the phenotype observed with ΔgacS. ΔpaaA culture filtrate alone was sufficient to replicate the phenotype, but this was abolished with infection of washed, heat-killed ΔpaaA cells, both suggesting that a bacterial-driven metabolic by-product was responsible for the altered neutrophil behavior.

Bacterial-guided leukocyte chemotaxis has thus far been well described for molecules such as LPS, lipopeptides, peptidoglycan, flagellin, and nucleic acids (35). However, these microorganism-associated molecular patterns lead to leukocyte recruitment indirectly via Toll-like receptors and activation of chemokines (e.g., IL-8). Very little is known about directly acting bacterial factors that drive neutrophil recruitment and behavior. By using global metabolomic analyses of culture supernatants, we showed that PA was significantly and specifically increased for the ΔpaaA mutant compared with supernatants taken from wild-type and complemented bacteria. To confirm the independent effect of this metabolite on neutrophil migration, purified PA was injected into the otic vesicle of zebrafish. Neutrophil chemotaxis and dwelling was observed. Purified PA was also sufficient to recreate the phenotype when added to culture supernatant from wild-type bacteria. These observations were then extended using ex vivo mammalian neutrophils, which showed that purified PA was independently capable of inducing neutrophil recruitment. Together, these data confirmed the role of PA as a direct bacterial-driven chemoattractant for zebrafish and mammalian neutrophils.

The role of PA in bacterial metabolism has not been fully elucidated. In Burkholderia cenocepacia, a Gram-negative pathogen related to A. baumannii, deletion of genes in the phenylalanine degradation pathway (paaABCDE) led to accumulation of phenylacetic acid and inhibited bacterial quorum sensing (36). Virulence attenuation has also been shown with disruption of the paa catabolic pathway; however, the mechanism of this remains unclear (37). Here we propose a mechanism that is driven by augmentation of host innate immune response. By deleting the A. baumannii phenylacetic acid catabolism pathway, an accumulation of PA ensues that enhances neutrophil migration and clustering at the site of infection, leading to greater bacterial killing and improved host survival. The significance of these data are that inhibition of this bacterial metabolic pathway could form a novel adjunctive therapy. The global emergence of antimicrobial resistance has led to a desperate need in identifying antimicrobials with new mechanisms of action. Augmentation of host immune responses to a bacterial pathogen could provide an alternative treatment strategy in the face of extreme drug-resistant and pandrug-resistant Gram-negative bacteria such as A. baumannii.

Methods and Materials

Bacterial Strains and Growth Conditions.

A. baumannii strains (Table S1) were grown in LB liquid or solid media at 37 °C supplemented with carbenicillin (150 μg/mL) or kanamycin (50 μg/mL) as appropriate. GFP expression and complementation of Acinetobacter M2 ΔabaI and ATCC 17978ΔpaaA were performed by using pWH1266 as described elsewhere (38). Primers used for this study are shown in Table S2.

Table S1.

Acinetobacter strains used in the study

Strain Description Source
A. baumannii ATCC 17978::GFP WT A. baumannii containing pWH1266::GFP (21)
A. baumannii 17978ΔgacS gacS mutant (21)
A. baumannii 17978 pgacS gacS mutant complemented with pWH1266::gacS (21)
A. baumannii 17978ΔgacA gacA mutant (21)
A. baumannii 17978 pgacA gacA mutant complemented with pWH1266::gacA (21)
A. baumannii 17978ΔpaaA paaA mutant (21)
A. baumannii 17978 ppaaA paaA mutant complemented with pWH1266::paaA This study
A. baumannii 17978ΔcsuD csuD mutant (21)
Acinetobacter strain M2 M2 WT (38)
Acinetobacter strain M2ΔabaI abaI mutant (38)
Acinetobacter strain M2 pabaI abaI mutant complemented with pWH1266::abaI This study

Table S2.

Primers used in this study

Gene name Direction Primer
Quantitative RT-PCR primers for IL-8 and Lta4H
 β-actin Forward TGCGTCTGGATCTAGCTGGT
Reverse GTGGTGGTGAAGCTGTAGCC
 IL-8 Forward TTTTCCTGGCATTTCTGACC
Reverse CGTCGGCTTTCTGTTTCAAT
 LTa4H Forward CTGTGTTGGCTGGAGACAGA
Reverse AATGCTCCCAAGTCCTGTTG
Primers for complementation of paaA and abaI gene
 paaA Forward GGTACTGCCGGGCCTCTTGCGGGATGACCAAACTCCTTTTTTATGTGA
Reverse TGGCGATGCTGTCGGAATGGACGATTTAAGCCACTTTGTTCGCTTC
 abaI Forward GGTACTGCCGGGCCTCTTGCGGGATATTAAGTCAAACCTTCTCTTAGAAACC
Reverse TGGCGATGCTGTCGGAATGGACGATTTAGATATCAATCAAGCATGCAAA

Zebrafish Strains and Maintenance.

Wild-type Tübingen, Tg(lyz:DsRed)nz50 (39), Tg(mpeg1:mCherry)gl23 (40), Tg(mpx:GFP)il14 (41), and Tg(mpeg1:Gal4FF)gl25 × Tg(UAS-E1b:Eco.NsfB-mCherry)c264 zebrafish embryos were maintained in the Monash University FishCore facility according to standard protocols (SI Materials and Methods).

Microinjection of A. baumannii into Zebrafish Embryos.

Overnight bacterial cultures were adjusted to OD600 of 1, washed, and resuspended in 2% (wt/vol) polyvinylpyrrolidone in PBS solution. Microinjections were performed at 48 hpf, and all inocula were confirmed by colony counts (42, 43). Embryos were monitored daily for survival to 96 hpi, and survival analyses were performed by using the Kaplan–Meier method. The Mantel–Cox test was used for statistical significance (P < 0.05). A range of 500–800 cfu of bacteria were injected into the muscle or otic vesicle for neutrophil and macrophage migration assays. Methods for in vivo A. baumannii growth kinetics and quantitative real-time PCR are shown in SI Materials and Methods.

Morpholino Depletion of cfs3r and irf8.

Antisense morpholino oligomers (MOs) directed at csf3r (30) and irf8 (18) were purchased from Gene Tools. Volumes of 1 nL were microinjected into the yolk of one-cell embryos, delivering MOs at the following final concentration in distilled water: 25 μM of csf3rATG MO and 25 μM of irf8ATG MO. A standard control MO was used as a negative control.

Leukocyte Enumeration.

Leukocyte units (LUs), a surrogate parameter proportional to leukocyte numbers determined by analysis of digital images, were computed as previously described and validated (43). When appropriate, LUs are referred to as “neutrophil units” or “macrophage units.” Leukocyte numbers were referred to when the total number of neutrophils was counted. A Mann–Whitney test was used for statistical significance (P < 0.05).

Microscopy and Image Processing.

For microscopy, zebrafish were immobilized in 1% low melting temperature agar. Routine bright-field and fluorescence imaging was performed by using a Zeiss Lumar V12 stereo dissecting microscope with an AxioCam MRm camera running AxioVision 4.8 software. Confocal microscopy was performed with a Zeiss LSM 710 device with a Plan-Apochromat 20×, 0.8 N.A. objective, and Zen software (v4.0) (SI Materials and Methods). Images were processed in Imaris (Bitplane) for cell-tracking mode, and data were analyzed in the R program using ggplot2 (26). Vibratome sectioning, histopathology, and pHrodo staining are described in SI Materials and Methods.

Murine Disseminated Infection Model.

The model was performed as described previously (21) using female BALB/c mice aged 6–8 wk (n = 15 per group) infected via intraperitoneal injection (SI Materials and Methods). Animal protocols were approved by the Monash University Animal Ethics Committee.

Metabolomics.

Metabolite samples were prepared from cell culture supernatants by solvent extraction and analyzed by LC/MS with hydrophilic interaction liquid chromotography (HILIC) and high-resolution accurate MS (44) (SI Materials and Methods). Metabolomics data were analyzed with the IDEOM software (45), and PA abundance confirmed with Tracefinder (Thermo). Quantification of PA was confirmed by using a complementary analytical method, reversed-phase chromatography coupled to high-resolution MS (Q-Exactive; Thermo; SI Materials and Methods).

Ex Vivo Neutrophil Chemotaxis Assay.

Neutrophils were isolated from the bone marrow of C57BL/6 mice by Histopaque density gradient centrifugation, and chemotaxis was performed as described previously (46) (SI Materials and Methods).

SI Materials and Methods

Zebrafish Strains and Maintenance.

Embryos were grown in E3 medium (5 mM NaCl, 0.17 mM KCl, 0.33 mM CaCl2, 0.33 mM MgSO4, equilibrated to pH 7.0) at 28 °C. For microinjection and imaging, embryos were anesthetized in E3 medium containing 0.02% Tricaine (ethyl 3-aminobenzoate). Embryos for microscopy were also maintained in E3 medium containing 0.003% (wt/vol) 1-phenyl 2-thiourea from 12 hpf to prevent pigmentation.

In Vivo Acinetobacter baumannii Growth Kinetics.

Zebrafish embryos (48 hpf) were infected with A. baumannii via the circulation with a lower inoculum (1 × 103 cfu per embryo) and at 0, 2, 8, 20, 32, 44, 56, and 78 hpi. Five embryos were randomly selected for cfu enumeration. Embryos were pooled and homogenized, serially diluted, and plated onto solid LB media with carbenicillin (150 μg/mL) antibiotics for calculation of cfu per embryo. Three independent experiments were performed.

Quantitative RT-PCR.

RNA was isolated from 4 hpi embryos by using TRIzol Reagent (Life Technologies) following the manufacturer’s instructions. Purified RNA was subjected to on-column treatment with RNase-free DNase I (Qiagen) according to the manufacturer’s instructions. A total of 2 μg of RNA was used in a reverse transcription reaction by using SuperScript III (Life Technologies) and random decamers per the manufacturer’s instructions. The resulting cDNA was diluted three times for use in quantitative real-time PCR. Each 20-μL reaction mixture contained 2.5 μL of cDNA, 50-nM concentrations of each gene-specific primer (listed in Table S2), and 10 μL of SYBR Green PCR Master Mix (ABI). Real-time PCR was performed on a BioRad thermocycler. Known concentrations of A. baumannii ATCC 17978 genomic DNA were used to construct a gene-specific standard curve so that the concentration of template in each reaction mixture could be determined. Quantitation was performed on triplicate wells. All reactions were normalized against β-actin, and melting curve analysis confirmed the presence of only one PCR product. Significance was determined by using a t test with a significance threshold of P ≤ 0.05.

Microscopy and Image Processing.

Confocal microscopy was performed with a Zeiss LSM 710 with a Plan-Apochromat 20×, 0.8 N.A. objective running Zen software (v4.0). Images were 12-bit, 512 × 512 pixels. Z-depth ranged from 48 to 58 slices with Z-intervals optimized for 1:1:1 X:Y:Z reconstruction. Time intervals were optimized for each experiment and ranged from 10 to 30 s. Excitation laser wavelengths were 489 nm for EGFP and 561 nm for mCherry and DsRed. Emission detection used a BP495-555 filter for EGFP emission and a LP575 filter for mCherry and DsRed emission.

Vibratome Sectioning and Histopathology.

Embryos were fixed in 2% paraformaldehyde overnight at 4 °C, washed in PBS solution, and embedded in 4% low-melting-point agarose/E3 medium. When it had become solid, the agarose block was mounted onto a Vibratome chuck with a cyanoacrylate adhesive. The holding chamber was filled with PBS solution, and 250-μm transverse sections were cut by using a Leica V1200S Vibratome. For visualization of the nuclei, the sections were stained with NucBlue Live Ready Probes reagent (Life Technologies) per the manufacturer’s instructions. Sections were imaged by using a Leica Sp5 confocal laser scanning microscope.

pHrodo Staining.

Overnight cultures of A. baumannii were washed twice in PBS solution, suspended in 0.08% paraformaldehyde/PBS solution, and incubated at 37 °C for 30 min. Bacteria were then transferred to 2–8 °C for 15–20 min. The bacteria were washed twice in PBS solution and resuspended in carbonate buffer (pH 8.4). pHrodo (Invitrogen) was added at final concentration of 0.1 mM and incubated at room temperature for 45 min in the dark. The bacteria were washed once in 750 μL of HBSS before being resuspended in HBSS. The stained cells were stored at 4 °C in the dark until required.

Murine Disseminated Infection Model.

Overnight cultures of M2 W/T, M2ΔabaI, and the complemented strain (M2 pabaI) were prepared with an equal volume of 10% porcine mucin. Female BALB/c mice aged 6–8 wk (n = 15 per group) were infected via intraperitoneal injection with 5 × 104 cfu of wild-type or mutant bacteria. Mice were monitored for clinical signs of illness and euthanized when necessary. Time to euthanasia was assessed by Kaplan–Meier method, and the Mantel–Cox test was used to determine statistical significance (P < 0.05).

Metabolomics.

Culture supernatants from overnight bacterial cultures in LB media from four independent biological replicates were prepared by membrane filtration (0.22 µm) and stored at −80 °C. Before analysis, samples were thawed, and 10-µL sample was extracted with 250 µL extraction solvent (chloroform/methanol/water; 1:3:1). Samples were mixed thoroughly by vortex and centrifuged at 15,000 × g for 10 min to remove particulates before analysis by LC/MS.

Metabolomics samples were analyzed by HILIC chromatography coupled to high-resolution MS based on the pHILIC-AC method (44). The chromatography used a Dionex RSLC U3000 HPLC system (Thermo) with a 150 × 4.6 mm × 5 µm ZIC-pHILIC column (Merck). The mobile phase consisted of 20 mM ammonium carbonate (A) and acetonitrile (B), with a gradient from 80% B to 50% B (15 min), wash at 5% B (18–21 min) and reequilibration at 80% B (24–32 min). Mass spectra were collected on a Q-Exactive Orbitrap mass spectrometer operating at high resolution (35,000) with positive and negative mode electrospray (rapid switching). Source conditions were sheath gas 25, auxiliary gas 12, spray voltage 3.5 kV, probe temperature 150 °C, capillary temperature 320 °C, and S-lens RF level 55 eV. All samples were analyzed in a single batch with pooled quality control samples throughout the batch, and four external standard compounds were included in all samples. Standards mixtures containing more than 200 authentic metabolites were analyzed with the batch to aid metabolite identification.

Metabolomics data were analyzed with the open-source IDEOM software. Briefly, raw data were converted to mzXML format and peaks extracted with XCMS. Samples were aligned and filtered with mzMatch and saved as peakML format, and peak data imported to the IDEOM Excel interface. Data were filtered with a relative standard deviation (RSD) threshold of 30%, intensity threshold of 100,000, and the default IDEOM (version 20) settings for other filters. Metabolites were putatively identified based on exact mass and retention time by using a 2-ppm mass window after data-dependent recalibration and retention times from authentic standards where available, or predicted retention times for other metabolites. Annotations from the EcoCyc database were used to prioritize known bacterial metabolites among isomers. Metabolite identifications are based on this automated process and can be considered level-2 identifications according to the Metabolomics Standards Initiative. Semiquantitative analysis based on LC/MS peak height was performed between the mutant strain and each of the wild-type and complemented strains by using Welch’s t test (α = 0.05) for all putative metabolites. Relative quantification of PA was confirmed by manual integration of peak areas with TraceFinder software (Thermo Fisher Scientific).

Accurate quantification and identification of PA in culture supernatants was confirmed by comparison with authentic standards by using a complementary analytical method, reversed-phase chromatography (Kinetex EVO C18 2.6 µm, 50 × 3 mm; Phenomenex) coupled to high-resolution MS (Q-Exactive; Thermo Fisher Scientific). The mobile phase consisted of 0.01% formic acid (A) and methanol (B), starting at 30% B from 0 to 0.5 min, to 70% (0.6 min), 90% (2 min), 90% (3.1 min), 30% (3.2 min), and 30% (5 min). The flow rates were 0.4 mL/min from 0 to 2.3 min and 0.6 mL/min from 2.3 to 5 min. Accurate quantification of PA (m/z 135.0452, retention time = 1.97 min) was achieved by using an external calibration curve with 13C2-PA (m/z 137.0519) as the internal standard.

Ex Vivo Neutrophil Chemotaxis Assay.

Briefly, bone marrow was collected and resuspended in chemotaxis buffer (in 50 mL of buffer: 23.7 mL of RPMI medium, 23.7 mL HBSS, 2% FBS, 2% glutamine, and 1% penicillin/streptomycin), and red blood cells were lysed with lysis buffer. Migration assays were performed in 96-well plates (Corning) with a known concentration of PA (Sigma, catalog no. P16621) in the lower well, and neutrophils were added to the insert, which goes on top of the chemotaxis buffer. Neutrophils migrate to the bottom of the well in response to a direct chemotactic stimulation. A chemotaxis index was calculated based on the number of neutrophils that migrate to the test well divided by the number of neutrophils that migrate to the control well, which contains media only. At least five independent experiments were performed.

Supplementary Material

Supplementary File
Download video file (1.1MB, m4v)
Supplementary File
Download video file (830.8KB, mp4)
Supplementary File
Download video file (1.3MB, mp4)
Supplementary File
Download video file (1.8MB, mp4)
Supplementary File

Acknowledgments

We thank Dr. Connie Wong and Alyce Nicholls for supporting the chemotaxis assay; Monash Micro Imaging for use of the imaging facilities; Monash FishCore facilities for the care and maintenance of zebrafish; and Max Cryle and Matthew Belousoff for assistance with the metabolomics assays. This work was supported by an Australian National Health and Medical Research Council (NHMRC) Career Development fellowship (to A.Y.P. and D.J.C.), and an Australian Leadership Award by the Australian government (to M.S.B.). G.J.L. is an NHMRC Senior Research Fellow. The Australian Regenerative Medicine Institute is supported by funds from the State Government of Victoria and the Australian Federal Government.

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1523116113/-/DCSupplemental.

References

  • 1.Peleg AY, Seifert H, Paterson DL. Acinetobacter baumannii: Emergence of a successful pathogen. Clin Microbiol Rev. 2008;21(3):538–582. doi: 10.1128/CMR.00058-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Deng Q, et al. Localized bacterial infection induces systemic activation of neutrophils through Cxcr2 signaling in zebrafish. J Leukoc Biol. 2013;93(5):761–769. doi: 10.1189/jlb.1012534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Knapp S, et al. Differential roles of CD14 and toll-like receptors 4 and 2 in murine Acinetobacter pneumonia. Am J Respir Crit Care Med. 2006;173(1):122–129. doi: 10.1164/rccm.200505-730OC. [DOI] [PubMed] [Google Scholar]
  • 4.Breslow JM, et al. Innate immune responses to systemic Acinetobacter baumannii infection in mice: Neutrophils, but not interleukin-17, mediate host resistance. Infect Immun. 2011;79(8):3317–3327. doi: 10.1128/IAI.00069-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.van Faassen H, et al. Neutrophils play an important role in host resistance to respiratory infection with Acinetobacter baumannii in mice. Infect Immun. 2007;75(12):5597–5608. doi: 10.1128/IAI.00762-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tobin DM, May RC, Wheeler RT. Zebrafish: A see-through host and a fluorescent toolbox to probe host-pathogen interaction. PLoS Pathog. 2012;8(1):e1002349. doi: 10.1371/journal.ppat.1002349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Lieschke GJ, Trede NS. Fish immunology. Curr Biol. 2009;19(16):R678–R682. doi: 10.1016/j.cub.2009.06.068. [DOI] [PubMed] [Google Scholar]
  • 8.Henry KM, Loynes CA, Whyte MK, Renshaw SA. Zebrafish as a model for the study of neutrophil biology. J Leukoc Biol. 2013;94(4):633–642. doi: 10.1189/jlb.1112594. [DOI] [PubMed] [Google Scholar]
  • 9.Mostowy S, et al. The zebrafish as a new model for the in vivo study of Shigella flexneri interaction with phagocytes and bacterial autophagy. PLoS Pathog. 2013;9(9):e1003588. doi: 10.1371/journal.ppat.1003588. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tobin DM, et al. Thelta4h locus modulates susceptibility to mycobacterial infection in zebrafish and humans. Cell. 2010;140(5):717–730. doi: 10.1016/j.cell.2010.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Adams KN, et al. Drug tolerance in replicating mycobacteria mediated by a macrophage-induced efflux mechanism. Cell. 2011;145(1):39–53. doi: 10.1016/j.cell.2011.02.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Davis JM, Ramakrishnan L. The role of the granuloma in expansion and dissemination of early tuberculous infection. Cell. 2009;136(1):37–49. doi: 10.1016/j.cell.2008.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hepburn L, et al. Innate immunity. A Spaetzle-like role for nerve growth factor β in vertebrate immunity to Staphylococcus aureus. Science. 2014;346(6209):641–646. doi: 10.1126/science.1258705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Crowhurst MO, Layton JE, Lieschke GJ. Developmental biology of zebrafish myeloid cells. Int J Dev Biol. 2002;46(4):483–492. [PubMed] [Google Scholar]
  • 15.Qiu H, et al. Role of macrophages in early host resistance to respiratory Acinetobacter baumannii infection. PLoS One. 2012;7(6):e40019. doi: 10.1371/journal.pone.0040019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Cech P, Lehrer RI. Phagolysosomal pH of human neutrophils. Blood. 1984;63(1):88–95. [PubMed] [Google Scholar]
  • 17.Liongue C, Hall CJ, O’Connell BA, Crosier P, Ward AC. Zebrafish granulocyte colony-stimulating factor receptor signaling promotes myelopoiesis and myeloid cell migration. Blood. 2009;113(11):2535–2546. doi: 10.1182/blood-2008-07-171967. [DOI] [PubMed] [Google Scholar]
  • 18.Li L, Jin H, Xu J, Shi Y, Wen Z. Irf8 regulates macrophage versus neutrophil fate during zebrafish primitive myelopoiesis. Blood. 2011;117(4):1359–1369. doi: 10.1182/blood-2010-06-290700. [DOI] [PubMed] [Google Scholar]
  • 19.Morgan E, et al. Identification of host-specific colonization factors of Salmonella enterica serovar Typhimurium. Mol Microbiol. 2004;54(4):994–1010. doi: 10.1111/j.1365-2958.2004.04323.x. [DOI] [PubMed] [Google Scholar]
  • 20.Rahme LG, et al. Common virulence factors for bacterial pathogenicity in plants and animals. Science. 1995;268(5219):1899–1902. doi: 10.1126/science.7604262. [DOI] [PubMed] [Google Scholar]
  • 21.Cerqueira GM, et al. A global virulence regulator in Acinetobacter baumannii and its control of the phenylacetic acid catabolic pathway. J Infect Dis. 2014;210(1):46–55. doi: 10.1093/infdis/jiu024. [DOI] [PubMed] [Google Scholar]
  • 22.Slamti L, Lereclus D. A cell-cell signaling peptide activates the PlcR virulence regulon in bacteria of the Bacillus cereus group. EMBO J. 2002;21(17):4550–4559. doi: 10.1093/emboj/cdf450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zhu J, et al. Quorum-sensing regulators control virulence gene expression in Vibrio cholerae. Proc Natl Acad Sci USA. 2002;99(5):3129–3134. doi: 10.1073/pnas.052694299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Niu C, Clemmer KM, Bonomo RA, Rather PN. Isolation and characterization of an autoinducer synthase from Acinetobacter baumannii. J Bacteriol. 2008;190(9):3386–3392. doi: 10.1128/JB.01929-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.de Oliveira S, et al. Cxcl8 (IL-8) mediates neutrophil recruitment and behavior in the zebrafish inflammatory response. J Immunol. 2013;190(8):4349–4359. doi: 10.4049/jimmunol.1203266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lämmermann T, et al. Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo. Nature. 2013;498(7454):371–375. doi: 10.1038/nature12175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Haeggström JZ, Funk CD. Lipoxygenase and leukotriene pathways: Biochemistry, biology, and roles in disease. Chem Rev. 2011;111(10):5866–5898. doi: 10.1021/cr200246d. [DOI] [PubMed] [Google Scholar]
  • 28.Teufel R, et al. Bacterial phenylalanine and phenylacetate catabolic pathway revealed. Proc Natl AcadSci USA. 2010;107(32):14390–14395. doi: 10.1073/pnas.1005399107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Schiffmann E, Corcoran BA, Wahl SM. N-formylmethionyl peptides as chemoattractants for leucocytes. Proc Natl Acad Sci USA. 1975;72(3):1059–1062. doi: 10.1073/pnas.72.3.1059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Palha N, et al. Real-time whole-body visualization of Chikungunya virus infection and host interferon response in zebrafish. PLoS Pathog. 2013;9(9):e1003619. doi: 10.1371/journal.ppat.1003619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Prajsnar TK, Cunliffe VT, Foster SJ, Renshaw SA. A novel vertebrate model of Staphylococcus aureus infection reveals phagocyte-dependent resistance of zebrafish to non-host specialized pathogens. Cell Microbiol. 2008;10(11):2312–2325. doi: 10.1111/j.1462-5822.2008.01213.x. [DOI] [PubMed] [Google Scholar]
  • 32.Runft DL, et al. Zebrafish as a natural host model for Vibrio cholerae colonization and transmission. Appl Environ Microbiol. 2014;80(5):1710–1717. doi: 10.1128/AEM.03580-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.van der Sar AM, et al. Zebrafish embryos as a model host for the real time analysis of Salmonella typhimurium infections. Cell Microbiol. 2003;5(9):601–611. doi: 10.1046/j.1462-5822.2003.00303.x. [DOI] [PubMed] [Google Scholar]
  • 34.Gandhi JA, et al. Alcohol enhances Acinetobacter baumannii-associated pneumonia and systemic dissemination by impairing neutrophil antimicrobial activity in a murine model of infection. PLoS One. 2014;9(4):e95707. doi: 10.1371/journal.pone.0095707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bloes DA, Kretschmer D, Peschel A. Enemy attraction: Bacterial agonists for leukocyte chemotaxis receptors. Nat Rev Microbiol. 2015;13(2):95–104. doi: 10.1038/nrmicro3390. [DOI] [PubMed] [Google Scholar]
  • 36.Pribytkova T, et al. The attenuated virulence of a Burkholderia cenocepacia paaABCDE mutant is due to inhibition of quorum sensing by release of phenylacetic acid. Mol Microbiol. 2014;94(3):522–536. doi: 10.1111/mmi.12771. [DOI] [PubMed] [Google Scholar]
  • 37.Law RJ, et al. A functional phenylacetic acid catabolic pathway is required for full pathogenicity of Burkholderia cenocepacia in the Caenorhabditis elegans host model. J Bacteriol. 2008;190(21):7209–7218. doi: 10.1128/JB.00481-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Tomaras AP, Flagler MJ, Dorsey CW, Gaddy JA, Actis LA. Characterization of a two-component regulatory system from Acinetobacter baumannii that controls biofilm formation and cellular morphology. Microbiology. 2008;154(pt 11):3398–3409. doi: 10.1099/mic.0.2008/019471-0. [DOI] [PubMed] [Google Scholar]
  • 39.Hall C, Flores MV, Storm T, Crosier K, Crosier P. The zebrafish lysozyme C promoter drives myeloid-specific expression in transgenic fish. BMC Dev Biol. 2007;7:42. doi: 10.1186/1471-213X-7-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Ellett F, Pase L, Hayman JW, Andrianopoulos A, Lieschke GJ. mpeg1 promoter transgenes direct macrophage-lineage expression in zebrafish. Blood. 2011;117(4):e49–e56. doi: 10.1182/blood-2010-10-314120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Renshaw SA, et al. A transgenic zebrafish model of neutrophilic inflammation. Blood. 2006;108(13):3976–3978. doi: 10.1182/blood-2006-05-024075. [DOI] [PubMed] [Google Scholar]
  • 42.Benard EL, et al. Infection of zebrafish embryos with intracellular bacterial pathogens. J Vis Exp. 2012;Mar 15(61):61. doi: 10.3791/3781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Ellett F, Lieschke GJ. Computational quantification of fluorescent leukocyte numbers in zebrafish embryos. Methods Enzymol. 2012;506:425–435. doi: 10.1016/B978-0-12-391856-7.00046-9. [DOI] [PubMed] [Google Scholar]
  • 44.Zhang T, Creek DJ, Barrett MP, Blackburn G, Watson DG. Evaluation of coupling reversed phase, aqueous normal phase, and hydrophilic interaction liquid chromatography with Orbitrap mass spectrometry for metabolomic studies of human urine. Anal Chem. 2012;84(4):1994–2001. doi: 10.1021/ac2030738. [DOI] [PubMed] [Google Scholar]
  • 45.Creek DJ, Jankevics A, Burgess KE, Breitling R, Barrett MP. IDEOM: An Excel interface for analysis of LC-MS-based metabolomics data. Bioinformatics. 2012;28(7):1048–1049. doi: 10.1093/bioinformatics/bts069. [DOI] [PubMed] [Google Scholar]
  • 46.Green TD, et al. Directed migration of mouse macrophages in vitro involves myristoylated alanine-rich C-kinase substrate (MARCKS) protein. J Leukoc Biol. 2012;92(3):633–639. doi: 10.1189/jlb.1211604. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Supplementary File
Download video file (1.1MB, m4v)
Supplementary File
Download video file (830.8KB, mp4)
Supplementary File
Download video file (1.3MB, mp4)
Supplementary File
Download video file (1.8MB, mp4)
Supplementary File

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES