Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Immunobiology. 2016 Jul 25;221(12):1362–1368. doi: 10.1016/j.imbio.2016.07.011

TGF-β signaling regulates resistance to parasitic nematode infection in Drosophila melanogaster

Ioannis Eleftherianos a,*, Julio Cesar Castillo a,b, Jelena Patrnogic a
PMCID: PMC5075508  NIHMSID: NIHMS806240  PMID: 27473342

Abstract

Over the past decade important advances have been made in the field of innate immunity; however, our appreciation of the signaling pathways and molecules that participate in host immune responses to parasitic nematode infections lags behind that of responses to microbial challenges. Here we have examined the regulation and immune activity of Transforming Growth Factor-beta (TGF-β) signaling in the model host Drosophila melanogaster upon infection with the nematode parasites Heterorhabditis gerrardi and H. bacteriophora containing their mutualistic bacteria Photorhabdus. We have found that the genes encoding the Activin and Bone Morphogenic Protein (BMP) ligands Dawdle (Daw) and Decapentaplegic (Dpp) are transcriptionally induced in flies responding to infection with the nematode parasites, containing or lacking their associated bacteria. We also show that deficient Daw or Dpp regulates the survival of D. melanogaster adults to the pathogens, whereas inactivation of Daw reduces the persistence of the nematodes in the mutant flies. These findings demonstrate a novel role for the TGF-β signaling pathways in the host anti-nematode immune response. Understanding the molecular mechanisms of host anti-nematode processes will potentially lead to the development of novel means for the efficient control of parasitic nematodes.

Keywords: Immunity, Infection, TGF-β

1. Introduction

Parasitic nematodes constitute one of the major threats to human health, causing diseases of major socioeconomic importance worldwide. Development of new control measures requires a better understanding of host factors that participate in the immune response against parasitic nematode infection. However, the lack of good animal models has limited investigations into mechanisms that hosts employ to oppose parasitic nematode attacks. The study of the interaction between invertebrate model hosts and nematode parasites provides insights into the processes underlying parasitic processes and host immunity, and complements the use of mammalian models by enabling whole-animal high throughput infection assays (Glavis-Bloom et al., 2012).

The fruit fly Drosophila melanogaster is well established as an outstanding model for studying innate immunity (Rämet, 2012). Elegant studies in D. melanogaster have led to the understanding of the NF-κB immune signaling pathways Toll and Immune Deficiency (Imd) that are activated in response to microbial infections (Hetru and Hoffmann, 2009; Kleino and Silverman, 2014; Lindsay and Wasserman, 2014). Immunity research in D. melanogaster has further shown that the c-Jun N-terminal kinase (JNK) and Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathways also act in either competing or cooperative modes to regulate immune effector genes in the fly (Delaney et al., 2006; Myllymäki and Rämet, 2014). Therefore it is possible that additional or alternative evolutionary conserved pathways might regulate the activity of certain host immune functions against pathogenic infections (Castillo et al., 2011; Buchon et al., 2014).

Transforming Growth Factor-beta (TGF-β) family members contribute to a large variety of biological functions by acting through pathways with high degree of conservation at the sequence and functional level with regard to their vertebrate counterparts, the Activin and Bone Morphogenic Protein (BMP) signaling branches (Schmierer and Hill, 2007). TGF-β signaling pathways consist of extracellular ligands, a restricted number of transmembrane receptors, intracellular signal transducers and nuclear readout genes (Weiss and Attisano, 2013). Molecular and functional analysis of TGF-β signaling core components in model systems has the potential to provide a deep understanding of their activity and exact role in modulating a diverge range of physiological processes as well as controlling different steps of complex interactions within the organism (Li et al, 2006). In the fruit fly D. melanogaster, the Activin and BMP signals are transduced via receptor and Smad phosphorylation events that are essentially identical to those described for vertebrate TGF-β family signaling (Zi et al., 2012; Peterson and O’Connor, 2014). Interestingly, it was previously shown that TGF-β superfamily signals modulate the D. melanogaster immune response to wounding and bacterial infection (Clark et al, 2011).

The nematode parasite Heterorhabditis gerrardi contains the mutualistic bacteria P. asymbiotica that are able to infect both insects and humans (Plichta et al, 2009; Weissfeld et al., 2005). Photorhabdus bacteria produce a wide range of toxins, virulence factors andhydrolytic enzymes (Bode, 2009; Costa et al, 2010; ffrench-Constant et al., 2007). Clinical isolates of P. asymbiotica have been recovered from patients in both the US and Australia (Gerrard et al., 2006; Wilkinson et al., 2010). In addition, the soil dwelling nematode parasite H. bacteriophora together with the bacteria Photorhabdus luminescens form a mutualistic complex that is pathogenic to insects (Ciche, 2007). P. luminescens bacteria are found in the gut of H. bacteriophora nematodes, which complete their life cycle in insect hosts (Waterfield et al., 2009). The H. bacteriophora infective juvenile stage is the only stage that is able tosurvive outside of the host and isrequired for insect infection (Ciche et al, 2006). Previous and recent work has demonstrated the power of using D. melanogaster for studying the molecular/genetic basis of insect immune responses against infections by entomopathogenic nematodes (Hallem et al., 2007; Wang et al., 2010; Hyrsl et al., 2011; Dobes et al., 2012; Castillo et al., 2012, 2013; Arefin et al, 2014, 2015; Peña et al., 2015; Kucerova et al., 2016).

Here we have investigated the involvement of TGF-β signaling pathways in the D. melanogaster immune response against H. gerrardi and H. bacteriophora nematodes with or without their mutualistic Photorhabdus bacteria. We have found that the TGF-β ligands Daw and Dpp are transcriptionally activated in flies infected by Heterorhabditis and to a lesser extent by Photorhabdus, and that deficiencies in Dpp or Daw reduce the survival ability of the mutants in response to the nematodes. Characterization of the fly response to Heterorhabditis will potentially uncover novel evolutionary conserved host anti-nematode immune strategies.

2. Materials and methods

2.1. Fly stocks

The D. melanogaster strain w1118 was used as background control in all experiments. Flies carrying a transposon insertion in Daw (strain d05680, Exelixis) and a spontaneous mutation s1 in Dpp (strain 397, Bloomington) were used for infections. All fly strains were maintained and amplified for experimentation with approximately 2.5 g of Carolina Formula 4–24 Instant Drosophila media (Carolina Biological Supply), 10 mL of deionized water, and a dash of dry baker’s yeast granules. All stocks were maintained at 25 °C and a 12:12-h light:dark photoperiod. Male and female adult flies 7–10 days old were used in infection assays with nematodes and bacteria.

2.2. Nematodes and bacteria

Heterorhabditis gerrardi and H bacteriophora nematodes were amplified in fourth instar larvae of the wax moth Galleria mellonella using the water trap technique (White, 1927). Axenic nematodes were generated as previously described (Castillo et al., 2012; Eleftherianos et al, 2010b). To ensure that axenic Heterorhabditis nematodes were devoid of their associated Photorhabdus bacteria, the worms were homogenized and the nematode lysate was spread on agar plates. Fresh infective juveniles were collected and prepared through pelleting, washing and re-suspending in sterile distilled water (Castillo et al., 2012). Heterorhabditis infective juveniles with or without their corresponding Photorhabdus bacteria were used 1–2 weeks after collection from the water traps. For infections, nematode numbers were estimated by counting the average nematode density present in ten individual 50 μL drops of water using a stereomicroscope.

The pathogens Photorhabdus asymbiotica (strain Kingscliff) and P. luminescens subsp. Laumondii (strain TT01) were used for fly infections. Bacteria were cultured in sterile 50 mL conical tubes containing 10 mL of Luria-Bertani broth and incubated for 18–24 h at 30 °C on a rotary shaker at 265 rpm. Bacterial cultures were centrifuged at 4°C, and the resulting pellets were washed and resuspended in sterile phosphate-buffered saline (PBS). The bacterial density of the suspension was estimated with an optical density measurement (600 nm), using a spectrophotometer (NanoDrop™ 2000c – Thermo Fisher Scientific) and a 10× serial dilution plating technique.

2.3. Survival experiments

For nematode infections, H gerrardi and H bacteriophora nematodes were transferred into nested 5 mL cups (Solo, USA) containing filter papers (Whatman, USA) that supported 10 adult flies, as previously described (Castillo et al., 2012). A 1 mL solution containing approximately 1000 symbiotic or axenic Heterorhabditis nematodes was added to each container (100 infective juveniles/fly). Treatments involving sterile water only were used as negative controls. For bacterial infections, a PBS suspension (18.4 nl) containing cells of P. asymbiotica or P. luminescens was injected into the D. melanogster hemocoel at the lateral anterior aspect of the thorax through nano-injection (Nanoject II – Drummond Scientific CO., USA). The number of Photorhabdus cells delivered into each fly was approximately 5 × 102 CFUs. PBS injections were used as negative controls. Injections with Escherichia coli and Micrococcus luteus were used as positive controls to activate the fly immune signaling. All fly infection assays were conducted between 10:00 AM and 12:00 PM Flies infected by nematodes or bacteria as well as the uninfected controls were kept at 25 °C and survival experiments were conducted in triplicates.

2.4. Nematode load

Daw and Dpp mutants as well as background controls were infected with H gerrardi or H bacteriophora axenic or symbiotic nematodes, as described above. To estimate nematode load, flies were dissected at 24 h post infection and individual nematodes were counted using a tally counter and a stereomicroscope. Nematode load experiments were conducted three times and each assay involved the dissection of at least 15 individual flies infected with each type of nematode.

2.5. Gene transcription

Five adult flies from each experimental treatment were frozen at 3, 24 and 48 h post infection. Flies were homogenized using sterile plastic pestles and total RNA was extracted using the Pre-pEase RNA spin kit (USB) following the manufacturer’s instructions. RNA samples were re-suspended in 40 μL of sterile nuclease-free water. RNA concentration was measured at an optical density of 260 nm using a Nanodrop (Thermo Scientific). Complementary DNA (cDNA) synthesis was carried out using the High Capacity cDNA reverse transcription kit (Applied Biosystems), random hexamers and 500 ng of RNA sample as starting material in a total reaction volume of 20 μL following the manufacturer’s protocol. cDNA samples were diluted 1:10 in nuclease-free water and 1 μL was used as template for quantitative real-time RT-PCR (qRT-PCR) experiments using the EXPRESS SYBR GreenER kit with Premixed ROX (Invitrogen) and twin.tec real-time PCR 96-well plates on a Mastercycler ep realplex2 (Eppendorf). Primers for Daw (CG16987) and Dpp (CG9885) were purchased from Eurofin MWG Operon and the sequences and reaction conditions have been published before (Clark et al., 2011). For each sample, the amount of Daw or Dpp mRNA detected was normalized to mRNA values of the control housekeeping gene RpL32 (CG7939) (Castillo et al., 2013). Normalized data were used to quantify the relative level of Daw or Dpp mRNA according to cycling threshold analysis (DCt), hence data were expressed as the ratio 2CT(RpL32)/2CT(Gene). The data are presented as a ratio between infected versus uninfected flies (negative controls).

2.6. Statistical analysis

All values were expressed as means ± standard deviation. Statistics were performed using the GraphPad Prism6 software. Data from the survival experiments were statistically analyzed using a Log-rank (Mantel-Cox) and Chi-square tests. P values below 0.05 were considered statistically significant. For gene transcription, data were analyzed using a one-way analysis of variance with a Tukey post-hoc test for multiple comparisons. Nematode load data were processed using unpaired two-tailed t-test.

3. Results

3.1. Daw and dpp are upregulated in D. melanogaster upon infection with the pathogens

We used qRT-PCR to estimate the transcript levels of Daw and Dpp in w1118 adult flies at three time-points post infection with axenic or symbiotic H. gerrardi or H. bacteriophora nematodes, or injection with P. asymbiotica or P. luminescens bacteria. We also used untreated flies (baseline controls), flies injected with sterile PBS (injury controls), and flies injected with E. coli (Gram-negative) or M. luteus (Gram-positive) as inducers of the Imd and Toll signaling pathways, respectively. As previously shown (Clark et al., 2011), we found that Daw was significantly induced 24 h after infection with M. luteus, but not after infection with E. coli or injection with PBS (Fig. 1A). We also found high transcript levels of Daw in flies infected with symbiotic H. gerrardi and lower transcript levels in flies infected with axenic H. gerrardi or P. asymbiotica alone compared to flies injected with E. coli or M. luteus or to uninfected controls (Fig. 1A). We further observed that Dpp was transcribed at higher levels in flies infected with H. gerrardi or P. asymbiotica compared to control treatments, and that Dpp transcript levels were higher in flies infected with symbiotic nematodes than in those infected separately with axenic H. gerrardi or mutualistic P. asymbiotica (Fig. 1B). Similarly, we found higher Daw mRNA levels in flies infected with symbiotic H. bacteriophora compared to flies infected with axenic nematodes or P. luminescens only (Fig. 1C), and increased Dpp transcript levels in flies infected with axenic or symbiotic H. bacteriophora than in those injected with P. luminescens (Fig. 1D). These results indicate that TGF-κ signals are differentially regulated in D. melanogaster flies upon infection with parasitic nematodes and their mutualistic bacteria.

Fig. 1.

Fig. 1

Daw and Dpp mRNA levels are up-regulated in Drosophila melanogaster adult flies in response to infection with Heterorhabditis nematodes. Transcript levels of Daw (A, C), and Dpp (B, D) inD. melanogasterw1118 adult flies at 3, 24 and 48 h following infection with Heterorhabditis gerrardi (A, B), axenic (Hg) or symbiotic (Hg + Pa) nematodes or Photorhabdus asymbiotica (Pa) bacteria alone, or after infection with H bacteriophora (C, D) axenic (Hb) or symbiotic (Hb + Pl) nematodes or P. luminescens (Pl) bacteria only. Injection with Escherichia coli (Ec) and Micrococcus luteus (Ml) were used as positive controls for the induction of immune signaling. Daw and Dpp transcriptional up-regulation is shown as relative abundance of transcripts normalized to RpL32 and expressed as a ratio compared to flies (n = 3 individuals per experimental condition) injected with sterile PBS (negative control). Data analysis was performed by unpaired two-tailed t-test (GraphPad Prism6 software) and significant differences are indicated with asterisks (* P<0.05, ** P<0.01). NS denotes non-significant differences between experimental treatments. Bars show the means from three independent experiments and error bars represent standard deviations.

3.2. Daw loss-of-function mutant flies are sensitive to infection by nematodes and their bacteria

We assessed the ability of Daw and Dpp loss-of-function mutant flies to survive the infection of nematode parasites and their mutualistic bacteria, separately or together. We found that Daw mutants succumbed faster to infection with axenic H. gerrardi, symbiotic H. gerrardi, or P. asymbiotica compared to background control flies (Fig. 2A). However, Dpp mutants were more susceptible to infection with axenic or symbiotic H. gerrardi, but not to infection with P. asymbiotica alone, compared to controls (Fig. 2B). We also found that Daw mutant flies were more sensitive to axenic and symbiotic H. bacteriophora nematodes as well as to P. luminescens bacteria than the controls (Fig. 2C). Interestingly, Dpp mutants were more susceptible to infection with axenic H. bacteriophora, but not to infection with symbiotic nematodes or P. luminescens alone, than the control flies (Fig. 2D). Infections with E. coli andM. luteus did not affect the survival of TGF-β mutants compared to background controls (Fig. S1). These results demonstrate that Daw and Dpp activity can modulate the survival of D. melanogaster flies to infection with parasitic nematodes and their mutualistic bacteria.

Fig. 2.

Fig. 2

Drosophila melanogaster Daw and Dpp deficient flies are sensitive to infection with Heterorhabditis nematodes. Survival of 7–10 day old loss-of-function mutants for Daw (A, C) and Dpp (B, D) following infection with (A, B) Heterorhabditis gerrardi axenic (Hg) or symbiotic (Hg + Pa) nematodes or intrathoracic injection with Photorhabdus asymbiotica (Pa) bacteria alone, or after infection with H. bacteriophora (C, D) axenic (Hb) or symbiotic (Hb + Pl) nematodes or injection with P. luminescens (Pl) bacteria alone (n = 20 flies per experimental condition). w1118 was used as the background strain (Control). Mutant and background flies treated with water only or injected with sterile PBS served as negative controls for nematode infections and bacterial injections, respectively. Survival was monitored for a week at daily intervals. Differences between survival curves were analyzed using Log-Rank test (GraphPad Prism6 software) and the values represent percent survival forthe infected and uninfected flies. Significant differences are indicated with asterisks (*P<0.01, **P< 0.001). The means from three independent experiments are shown and error bars represent standard errors.

3.3. Daw mutants support nematode persistence

We then determined the numbers of nematode parasites contained in Daw and Dpp mutant flies and their background controls. We found that Daw mutants contained significantly higher numbers of axenic or symbiotic H. gerrardi (Fig. 3A) and H. bacteriophora (Fig. 3B) nematodes compared to control flies one day after infection with the parasites. However, there were no significant differences in the nematode load between Dpp mutants and background controls (Fig. 3A, B). Interestingly, TGF-β mutant flies and control individuals contained similar numbers of axenic or symbiotic Heterorhabditis nematodes (Fig. 3A, B). These results imply that Daw, but not Dpp, acts as resistance regulator against infection by parasitic nematodes in D. melanogaster flies.

Fig. 3.

Fig. 3

Drosophila melanogaster Daw, but not Dpp, deficient flies contain high numbers of Heterorhabditis nematodes. Numbers of Heterorhabditis gerrardi (A) axenic (Hg) and symbiotic (Hg + Pa) nematodes, H. bacteriophora (B) axenic (Hb) and symbiotic (Hb + Pl) nematodes in 7–10 day old loss-of-function mutant flies for Daw and Dpp at 24 h following infection with the parasites(n = 10–17 flies per experimental condition). w1118 was used as the background strain (Control). Differences in nematode load between the TGF-β mutants and the control flies were analyzed by unpaired two-tailed t-test (GraphPad Prism6 software) and significant differences are indicated with asterisks (* P< 0.05, ** P< 0.01). NS denotes non-significant differences between experimental treatments and horizontal bars show the mean values.

4. Discussion

Studying the activation of signaling pathways in animal models, such as D. melanogaster, upon infection with pathogenic organisms provides an efficient strategy for understanding the molecular events that take place in the host during the infection process and the interaction between certain signaling components with pathogen virulence factors (Bier and Guichard, 2012). Heterorhabditis parasitic nematodes together with D. melanogaster and other insect models have started to generate important information on host anti-nematode immune signaling and the genetic basis of factors that participate in anti-nematode immune function (Castillo et al., 2011). In D. melanogaster larvae, infection with the H. bacteriophora-P. luminescens complex, but not with the nematodes alone, activates the Toll and Imd pathways as shown by the induction of genes encoding antimicrobial peptides (Hallem et al., 2007). However, inactivating Toll and/or Imd immune signaling does not affect the ability of the mutant flies to survive infection by H. bacteriophora, implying the potential involvement of other signaling pathways in the response against parasitic nematodes.

TGF-β superfamily secreted factors perform crucial regulatory roles in both vertebrates and invertebrates because they are expressed ubiquitously in multiple tissues during animal development (Massagué, 2012). However, TGF-β expression levels are often elevated during parasitic nematode infections in mammals (Finlay et al., 2014). This could be attributed to host homeostasis to limit the pathological effects due to immune activation, nematode induction of host TGF-β, or production of TGF-β homologs by the parasites to interfere with host immunity (Johnston et al., 2016). The role of TGF-β superfamily signals in the immune response of D. melanogaster adult flies to wounding and bacterial infection has been explored previously (Clark et al., 2011). Daw and Dpp were shown to be differentially regulated by immune challenge and they perform certain immune functions in the fly. Daw is activated by the Toll pathway, it is downregulated by wounding, and it suppresses the melanization response following infection by Listeria monocytogenes. Dpp is activated by wounding and infection by Micrococcus luteus, and represses AMP expression following wounding and in the absence of infection. We have also recently provided preliminary evidence that Daw and Gbb, which encodes the extracellular BMP ligand Glass bottom boat, are transcriptionally upregulated upon infection with H. bacteriophora nematodes (Castillo et al., 2013).

Here we have confirmed and extended previous findings in mammals and D. melanogaster by showing the involvement of two TGF-β ligands, Daw (which is distantly related to vertebrate activin ligands) and Dpp (the homolog of vertebrate BMP-2 and BMP-4) in the immune response of the fly against two species of the nematode parasite Heterorhabditis. We have shown that i) Daw and Dpp genes are strongly upregulated in D. melanogaster flies upon infection with H. gerrardi and H. bacteriophora nematodes carrying or lacking their related Photorhabdus bacteria, ii) Daw and Dpp loss-of-function mutant flies are sensitive to infection with either Heterorhabditis species, and iii) Daw, but not Dpp, mutants are able to harbor increased numbers of nematode parasites. These findings point out a key role for the participation of TGF-β signals in the regulation of the fly anti-nematode immune response.

Daw and Dpp are transcriptionally upregulated in pericardial nephrocytes, salivary glands and a subset of hemocytes in uninfected flies (Clark et al., 2011), and we have found that both ligands are strongly induced in flies infected with Heterorhabditis nematodes and in some cases with Photorhabdus bacteria. We suspect that Daw and Dpp, and probably other extracellular Activin and BMP ligands, are probably induced in certain hemocyte types that interact with the pathogens during the infection process (Au et al., 2004; Castillo et al., 2011; Eleftherianos et al, 2010a). However, we cannot exclude the possibility that TGF-β signals might be activated in other tissues, such as the midgut, which is one of the target tissues for Photorhabdus and possibly for their cognate nematode parasites (Silva et al., 2002; Castillo et al, 2011). Indeed, BMP components, including Dpp and Gbb, were recently shown to be strongly upregulated in the midgut of adult flies after oral infection with Erwinia carotovora, and depletion of Dpp in intestinal progenitor cells results in reduced fly viability upon Pseudomonas entomophila ingestion (Zhou et al, 2015). In addition, Dpp expression in enteroblasts is involved in regulating intestinal stem cells by modulating the activation of several signaling pathways in a non-autonomous manner, suggesting that BMP signaling participates actively in maintaining gut homeostasis in response to pathogenic infections.

We also suspect that the increased susceptibility to nematode infection and high nematode load could be due to reduced function of hemocytes (e.g. lower hemocyte numbers, reduced hemocyte viability, aggregation, nodule formation), which form the primary mediators of the insect immune response against parasites (Honti et al., 2014). Reduced hemocyte activity in Daw mutants could further result in impaired encapsulation response against the nematodes that would in turn increase the number of free parasites in the infected flies. Notably, Dpp mutants proved sensitive to Heterorhabditis infection, but they contain similar numbers of nematodes as the control flies. One explanation for this result could be that cellular immune functions are not essential for nematode persistence in the Dpp flies. Alternatively, defects in cellular immunity in Dpp mutants could be possibly counterbalanced by enhanced humoral immune activity that is mainly regulated by NF-κB immune signaling (Ligoxygakis, 2013). Confirming or disproving these possibilities will be a major aspect of our future studies.

Since Daw and Dpp are upregulated in D. melanogaster wild-type flies upon infection with Heterorhabditis and Photorhabdus and they are secreted signals (Clark et al., 2011), they may function in a systemic manner to regulate target genes in certain fly tissues or interfere with the expression of genes that are controlled by specific immune signaling pathways. Therefore, future work will focus on determining the transcription levels of TGF-β ligands in various tissues of flies infected with axenic or symbiotic Heterorhabditis nematodes, or Photorhabdus bacteria alone. If Daw, Dpp or other TGF-β components are induced in the fly gut upon nematode infection, we will assess their role in regulating fly survival by interfering with their expression specifically in the gut and whether they contribute to tissue regeneration in response to the parasites. We will also examine the activation of immune pathways by interfering with BMP or Activin signaling in infected and uninfected flies and we will estimate TGF-β signaling regulation in fly mutants for components of immune pathways following infection with the pathogens.

Results from such studies, in combination with recently acquired information concerning factors in D. melanogaster with anti-nematode activity (Wang et al., 2010; Hyrsl et al., 2011; Kucerova et al, 2016) and genome-wide transcriptome analysis of the D. melanogaster response to parasitic nematode infection (Arefin et al, 2014; Castillo et al, 2015), will undoubtedly provide critical knowledge on novel immune mechanisms against nematode parasites and clarify some of the underlying rules about how hosts regulate anti-nematode and antibacterial immune function.

Supplementary Material

1

Acknowledgments

We thank members of the Department of Biological Sciences at GWU for critical reading of the manuscript. The research herein was supported by NIH grants 1R01AI110675-01 and 1R56AI110675-01.

Abbreviations

TGF-β

transforming Growth Factor-beta

BMP

Bone Morphogenic Protein

Dpp

decapentaplegic

Daw

Dawdle

NF-κB

nuclear factor-kappa beta

JNL

c-Jun N-terminal kinase

JAK/STAT

Janus kinase/signal transducer and activator of transcription

PBS

phosphate-buffered saline

Appendix A. Supplementary data

Supplementary data associated with this article can be found, in the online version, at http://dx.doi.org/10.1016/j.imbio.2016.07.011.

Footnotes

Conflict of interest

The authors declare that they have no competing financial interests.

References

  1. Arefin B, Kucerova L, Dobes P, Markus R, Strnad H, Wang Z, Hyrsl P, Zurovec M, Theopold U. Genome-wide transcriptional analysis of Drosophila larvae infected by entomopathogenic nematodes shows involvement of complement, recognition and extracellular matrix proteins. J Innate Immun. 2014;6:192–204. doi: 10.1159/000353734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Arefin B, Kucerova L, Krautz R, Kranenburg H, Parvin F, Theopold U. Apoptosis in hemocytes induces a shift in effector mechanisms in the Drosophila immune system and leads to a pro-inflammatory state. PLoS One. 2015;10:e0136593. doi: 10.1371/journal.pone.0136593. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Au C, Dean P, Reynolds SE, ffrench-Constant R. Effect of the insect pathogenic bacterium Photorhabdus on insect phagocytes. Cell Microbiol. 2004;6:89–95. doi: 10.1046/j.1462-5822.2003.00345.x. [DOI] [PubMed] [Google Scholar]
  4. Bier E, Guichard A. Deconstructing host-pathogen interactions in Drosophila. Dis Model Mech. 2012;5:48–61. doi: 10.1242/dmm.000406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bode HB. Entomopathogenic bacteria as a source of secondary metabolites. Curr Opin Chem Biol. 2009;13:224–230. doi: 10.1016/j.cbpa.2009.02.037. [DOI] [PubMed] [Google Scholar]
  6. Buchon N, Silverman N, Cherry S. Immunity in Drosophila melanogaster—from microbial recognition to whole-organism physiology. Nat Rev Immunol. 2014;14:796–810. doi: 10.1038/nri3763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Castillo JC, Reynolds SE, Eleftherianos I. Insect immune responses to nematode parasites. Trends Parasitol. 2011;27:537–547. doi: 10.1016/j.pt.2011.09.001. [DOI] [PubMed] [Google Scholar]
  8. Castillo JC, Shokal U, Eleftherianos I. A novel method for infecting Drosophila adult flies with insect pathogenic nematodes. Virulence. 2012;3:339–347. doi: 10.4161/viru.20244. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Castillo JC, Shokal U, Eleftherianos I. Immune gene transcription in Drosophila adult flies infected by entomopathogenic nematodes and their mutualistic bacteria. J Insect Physiol. 2013;59:179–185. doi: 10.1016/j.jinsphys.2012.08.003. [DOI] [PubMed] [Google Scholar]
  10. Castillo JC, Creasy T, Kumari P, Shetty A, Shokal U, Tallon LJ, Eleftherianos I. Drosophila anti-nematode and antibacterial immune regulators revealed by RNA-Seq. BMC Genomics. 2015;16:519. doi: 10.1186/s12864-015-1690-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Ciche TA, Darby C, Ehlers RU, Forst S, Goodrich-Blair H. Dangerous liaisons: the symbiosis of entomopathogenic nematodes and bacteria. Biol Control. 2006;38:22–46. [Google Scholar]
  12. Ciche T. The biology and genome of Heterorhabditis bacteriophora. WormBook. 2007:1–9. doi: 10.1895/wormbook.1.135.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Clark RI, Woodcock KJ, Geissmann F, Trouillet C, Dionne MS. Multiple TGF-β superfamily signals modulate the adult Drosophila immune response. Curr Biol. 2011;21:1672–1677. doi: 10.1016/j.cub.2011.08.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Costa SC, Chavez CV, Jubelin G, Givaudan A, Escoubas JM, Brehélin M, Zumbihl R. Recent insight into the pathogenicity mechanisms of the emergent pathogen Photorhabdus asymbiotica. Microbes Infect. 2010;12:182–189. doi: 10.1016/j.micinf.2009.12.003. [DOI] [PubMed] [Google Scholar]
  15. Delaney JR, Stoven S, Uvell H, Anderson KV, Engström Y, Mlodzik M. Cooperative control of Drosophila immune responses by the JNK and NF-kappa B signaling pathways. EMBO J. 2006;25:3068–3077. doi: 10.1038/sj.emboj.7601182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Dobes P, Wang Z, Markus R, Theopold U, Hyrsl P. An improved method for nematode infection assays in Drosophila larvae. Fly. 2012;6:75–79. doi: 10.4161/fly.19553. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Eleftherianos I, ffrench-Constant RH, Clarje DJ, Dowling AJ, Reynolds SE. Dissecting the immune response to the entomopathogen Photorhabdus. Trends Parasitol. 2010a;18:552–560. doi: 10.1016/j.tim.2010.09.006. [DOI] [PubMed] [Google Scholar]
  18. Eleftherianos I, Joyce S, ffrench-Constant RH, Clarke DJ, Reynolds SE. Probing the tri-trophic interaction between insects, nematodes and Photorhabdus. Parasitology. 2010b;137:1695–1706. doi: 10.1017/S0031182010000508. [DOI] [PubMed] [Google Scholar]
  19. Finlay CM, Walsh KP, Mills KH. Induction of regulatory cells by helminth parasites: exploitation for the treatment of inflammatory diseases. Immunol Rev. 2014;259:206–230. doi: 10.1111/imr.12164. [DOI] [PubMed] [Google Scholar]
  20. Gerrard JG, Joyce SA, Clarke DJ, ffrench-Constant RH, Nimmo GR, Looke DF, Feil EJ, Pearce L, Waterfield NR. Nematode symbiont for Photorhabdus asymbiotica. Emerg Infect Dis. 2006;12:1562–1564. doi: 10.3201/eid1210.060464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Glavis-Bloom J, Muhammed M, Mylonakis E. Of model hosts and man: using Caenorhabditis elegans, Drosophila melanogaster and Galleria mellonella as model hosts for infectious disease research. Adv Exp Med Biol. 2012;710:11–17. doi: 10.1007/978-1-4419-5638-5_2. [DOI] [PubMed] [Google Scholar]
  22. Hallem EA, Rengarajan M, Ciche TA, Sternberg PW. Nematodes, bacteria, and flies: a tripartite model for nematode parasitism. Curr Biol. 2007;17:898–904. doi: 10.1016/j.cub.2007.04.027. [DOI] [PubMed] [Google Scholar]
  23. Hetru C, Hoffmann JA. NF-kappaB in the immune response of Drosophila. Cold Spring Harb Perspect Biol. 2009;1:a000232. doi: 10.1101/cshperspect.a000232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Honti V, Csordás G, Kurucz É, Márkus R, Andó I. The cell-mediated immunity of Drosophila melanogaster: hemocyte lineages, immune compartments, microanatomy and regulation. Dev Comp Immunol. 2014;42:47–56. doi: 10.1016/j.dci.2013.06.005. [DOI] [PubMed] [Google Scholar]
  25. Hyrsl P, Dobes P, Wang Z, Hauling T, Wilhelmsson C, Theopold U. Clotting factors and eicosanoids protect against nematode infections. J Innate Immun. 2011;3:65–70. doi: 10.1159/000320634. [DOI] [PubMed] [Google Scholar]
  26. Johnston CJ, Smyth DJ, Dresser DW, Maizels RM. TGF-β intolerance, development and regulation of immunity. Cell Immunol. 2016;299:14–22. doi: 10.1016/j.cellimm.2015.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Kleino A, Silverman N. The Drosophila IMD pathway in the activation of the humoral immune response. Dev Comp Immunol. 2014;42:25–35. doi: 10.1016/j.dci.2013.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kucerova L, Broz V, Arefin B, Maaroufi HO, Hurychova J, Strnad H, Zurovec M, Theopold U. The Drosophila chitinase-like protein IDGF3 is involved in protection against nematodes and in wound healing. J Innate Immun. 2016;8:199–210. doi: 10.1159/000442351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Li MO, Wan YY, Sanjabi S, Robertson AKL, Flavell RA. Transforming growth factor-β regulation of immune responses. Annu Rev Immunol. 2006;24:99–146. doi: 10.1146/annurev.immunol.24.021605.090737. [DOI] [PubMed] [Google Scholar]
  30. Ligoxygakis P. Genetics of immune recognition and response in Drosophila host defense. Adv Genet. 2013;83:71–97. doi: 10.1016/B978-0-12-407675-4.00002-X. [DOI] [PubMed] [Google Scholar]
  31. Lindsay SA, Wasserman SA. Conventional and non-conventional Drosophila toll signaling. Dev Comp Immunol. 2014;42:16–24. doi: 10.1016/j.dci.2013.04.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Massagué J. TGFβ signalling in context. Nat Rev Mol Cell Biol. 2012;13:616–630. doi: 10.1038/nrm3434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Myllymäki H, Rämet M. JAK/STAT pathway in Drosophila immunity. Scand J Immunol. 2014;79:377–385. doi: 10.1111/sji.12170. [DOI] [PubMed] [Google Scholar]
  34. Peña JM, Carrillo MA, Hallem EA. Variation in the susceptibility of Drosophila to different entomopathogenic nematodes. Infect Immun. 2015;83:1130–1138. doi: 10.1128/IAI.02740-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Peterson AJ, O’Connor MB. Strategies for exploring TGF-β signaling in Drosophila. Methods. 2014;68:183–193. doi: 10.1016/j.ymeth.2014.03.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Plichta KL, Joyce SA, Clarke D, Waterfield N, Stock SP. Heterorhabditis gerrardi n. sp (Nematoda: Heterorhabditidae): the hidden host of Photorhabdus asymbiotica (Enterobacteriaceae: gamma-Proteobacteria) J Helminthol. 2009;83:309–320. doi: 10.1017/S0022149X09222942. [DOI] [PubMed] [Google Scholar]
  37. Rämet M. The fruit fly Drosophila melanogaster unfolds the secrets of innate immunity. Acta Paediatr. 2012;101:900–905. doi: 10.1111/j.1651-2227.2012.02740.x. [DOI] [PubMed] [Google Scholar]
  38. Schmierer B, Hill CS. TGFbeta-SMAD signal transduction: molecular specificity and functional flexibility. Nat Rev Mol Cell Biol. 2007;8:970–982. doi: 10.1038/nrm2297. [DOI] [PubMed] [Google Scholar]
  39. Silva CP, Waterfield NR, Daborn PJ, Dean P, Chilver T, Au CP, Sharma S, Potter U, Reynolds SE, ffrench-Constant RH. Bacterial infection of a model insect: Photorhabdus luminescens and Manducasexta. Cell Microbiol. 2002;4:329–339. doi: 10.1046/j.1462-5822.2002.00194.x. [DOI] [PubMed] [Google Scholar]
  40. Wang Z, Wilhelmsson C, Hyrsl P, Loof TG, Dobes P, Klupp M, Loseva O, Mörgelin M, Iklé J, Cripps RM, Herwald H, Theopold U. Pathogen entrapment by transglutaminase–a conserved early innate immune mechanism. PLoS Pathog. 2010;6:e1000763. doi: 10.1371/journal.ppat.1000763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Waterfield NR, Ciche T, Clarke D. Photorhabdus and a host of hosts. Annu Rev Microbiol. 2009;63:557–574. doi: 10.1146/annurev.micro.091208.073507. [DOI] [PubMed] [Google Scholar]
  42. Weiss A, Attisano L. The TGFbeta superfamily signaling pathway. Wiley Interdiscip Rev Dev Biol. 2013;2:47–63. doi: 10.1002/wdev.86. [DOI] [PubMed] [Google Scholar]
  43. Weissfeld AS, Halliday RJ, Simmons DE, Trevino EA, Vance PH, O’Hara CM, Sowers EG, Kern R, Koy RD, Hodde K, Bing M, Lo C, Gerrard J, Vohra R, Harper J. Photorhabdus asymbiotica, a pathogen emerging on two continents that proves that there is no substitute for a well-trained clinical microbiologist. J Clin Microbiol. 2005;43:4152–4155. doi: 10.1128/JCM.43.8.4152-4155.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. White GF. A method for obtaining infective nematode larvae from cultures. Science. 1927;66:302–303. doi: 10.1126/science.66.1709.302-a. [DOI] [PubMed] [Google Scholar]
  45. Wilkinson P, Paszkiewicz K, Moorhouse A, Szubert JM, Beatson S, Gerrard J, Waterfield NR, ffrench-Constant RH. New plasmids and putative virulence factors from the draft genome of an Australian clinical isolate of Photorhabdus asymbiotica. FEMS Microbiol Lett. 2010;309:136–143. doi: 10.1111/j.1574-6968.2010.02030.x. [DOI] [PubMed] [Google Scholar]
  46. Zhou J, Florescu S, Boettcher AL, Luo L, Dutta D, Kerr G, Cai Y, Edgar BA, Boutros M. Dpp/Gbb signaling is required for normal intestinal regeneration during infection. Dev Biol. 2015;399:189–203. doi: 10.1016/j.ydbio.2014.12.017. [DOI] [PubMed] [Google Scholar]
  47. Zi Z, Chapnick DA, Liu X. Dynamics of TGF-β/Smad signaling. FEBS Lett. 2012;586:1921–1928. doi: 10.1016/j.febslet.2012.03.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. ffrench-Constant RH, Dowling A, Waterfield NR. Insecticidal toxins from Photorhabdus bacteria and their potential use in agriculture. Toxicon. 2007;49:436–451. doi: 10.1016/j.toxicon.2006.11.019. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

1

RESOURCES