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A PGRPLC1/Rel2-F axis controls Anopheles gambiae resistance to systemic infections with Gram-positive bacteria containing Lys-type peptidoglycan

  • Amani Audi,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

    Affiliation Department of Biology, American University of Beirut, Beirut, Lebanon

  • Suheir Zeineddine,

    Roles Formal analysis, Investigation, Validation

    Affiliation Department of Biology, American University of Beirut, Beirut, Lebanon

  • Sana Jaber,

    Roles Formal analysis, Investigation

    Current address: Biological and Chemical Sciences Department, Lebanese International University, Beirut, Lebanon.

    Affiliation Department of Biology, American University of Beirut, Beirut, Lebanon

  • Mike A. Osta

    Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

    mo07@aub.edu.lb

    Affiliation Department of Biology, American University of Beirut, Beirut, Lebanon

Abstract

In the Afrotropical malaria vector Anopheles gambiae s.l., the Imd pathway plays pleiotropic roles in immunity, including resistance to malaria parasites, that are mediated by its NF-κB transcription factor Rel2. Rel2 exists as a full-length form (Rel2-F) containing the Rel-homology domain (RHD) and the C-terminal inhibitory ankyrin (Ank) and death domains (DD), and a shorter alternatively spliced form (Rel2-S) proposed to encode a constitutively active protein containing only the RHD. Despite its important roles in immunity, there are still multiple uncertainties concerning the identity and function of key components of the pathway as well as its overall contribution to mosquito resistance to systemic bacterial infections. Here, we show that Rel2 is critical for limiting the burden of Gram-negative and Gram-positive bacterial proliferation in An. gambiae s.s. after systemic infections and this function is attributed to the endoproteolytic activation of Rel2-F in the fat body but not to Rel2-S. Interestingly, while Rel2-F activation in the fat body regulates Cecropin 1 and Defensin 1 expression, its activation in the midgut after oral infections is dispensable for their regulation. We provide direct evidence that PGRPLC1 is necessary and sufficient for Rel2-F activation in the fat body in response to infections with Gram-positive bacteria containing Lysine-type peptidoglycan, however sensing of Gram-negative bacteria and Gram-positive bacilli containing DAP-type peptidoglycan is more complex and may be mediated by various PGRPLC isoforms, indicating that the mosquito Imd pathway integrates distinct receptor modules to sense Gram-positive and Gram-negative bacterial infections.

Author summary

The Imd immune signaling pathway, broadly conserved in insects, is centered around antibacterial defense. In the malaria vector Anopheles gambiae, this pathway signals presumably through two isoforms of the NF-κB transcription factor Rel2, providing resistance also to malaria parasites. However, its molecular make-up suffers from several knowledge gaps, especially the relative contribution of each Rel2 isoform to antimicrobial defense. We provide evidence that during bacterial infections the mosquito Imd pathway signals only through the full-form Rel2 isoform, Rel2-F, whereas the short isoform Rel2-S does not seem to exhibit anti-bacterial roles. By probing Rel2-F cleavage dynamics in the fat body and midgut, we provide direct evidence on the identity of the pathway sensory receptors in the context of systemic and oral bacterial infections. Our findings contribute novel understanding about an immune pathway that constitutes an important intervention point for engineering malaria-resistant mosquitoes.

Introduction

The Imd immune signaling pathway is broadly conserved in insects and regulates a potent antimicrobial effector response through the activation of NF-κB family transcription factors [16]. Comparative genomic analysis of the malaria vector Anopheles gambiae and Drosophila melanogaster identified the conserved components of the mosquito Imd pathway, including the NF-κB transcription factor Rel2 which is the orthologue of Drosophila Relish [7]. Rel2 pathway has received significant attention in An. gambiae due to its role in providing resistance to the human malaria parasite P. falciparum [811]. An. gambiae Rel2 exists as a full-length form (Rel2-F) containing the Rel-homology domain (RHD) and the C-terminal ankyrin (Ank) and death domains (DD), and a shorter form (Rel2-S) generated by alternative splicing containing only the RHD [12]. Rel2-S does not seem to harbor a unique sequence permitting its specific silencing by RNA interference (RNAi), unlike Rel2-F that can be silenced specifically by a double-stranded RNA (dsRNA) complementary to its C-terminal sequence encoding Ank and DD [12]. Hence, Rel2-S function has always been indirectly deduced by comparing the RNAi phenotypes obtained after silencing both forms simultaneously (using a dsRNA complementary to the RHD) to those obtained after silencing specifically Rel2-F. This approach identified Rel2-S as the culprit of the anti-P. falciparum defense mediated by the Rel2 pathway [9,11]. The anti-bacterial function of the Rel2 pathway has not been well characterized in mosquitoes as most studies have focused on the use of survival assays to gauge Rel2 function in immune defense [8,12,13]. Survival assays do not measure the host ability to limit the microbial burden in tissues but rather host tolerance, defined as the strategy by which the negative impact of infection on host fitness is reduced [14,15]. Importantly, the relative contributions of Rel2-F and Rel2-S to bacterial clearance during systemic infections are still unclear.

In Drosophila, PGRP-LC and PGRP-LE function as receptors of the Imd pathway [1619] that recognize meso-diaminopimelic acid (DAP)-type peptidoglycan (PGN) of Gram-negative bacteria and several Gram-positive bacilli [2022] to trigger Relish activation. An. gambiae genome lacks PGRPLE but contains a PGRPLC gene which encodes three main protein isoforms (PGRPLC1, -LC2 and -LC3) generated by alternative splicing [23], like its ortholog in Drosophila [24]. Functional studies by RNAi associated An. gambiae PGRPLC with defense against Escherichia coli (DAP-type PGN) and Staphylococcus aureus [Lysine (Lys)-type PGN] infections; all 3 isoforms were required for mosquito survival to E. coli infections, whereas only PGRPLC1 and PGRPLC3 isoforms were required for survival to S. aureus infections, with the latter exhibiting the strongest RNAi phenotype in both infections [23]. In contrast, reporter gene assays utilizing the Cecropin 1 (Cec1) gene promoter identified PGRPLC1 as the main regulator of Cec1 expression in the mosquito 4a3A cell line but not the other two isoforms [25]. Structural modeling suggested that all mosquito PGRPLC isoforms can bind either DAP- or Lys-type PGN [23], however, only binding to DAP-type PGN was confirmed biochemically [26]. Hence, there remains significant uncertainty as to which PGRPLC isoform functions as the bona fide receptor of the mosquito Imd pathway and whether this pathway is activated by DAP- or Lys-type PGN, or both. This uncertainty is driven by the fact that assigning immune roles to mosquito PGRPs has been largely based on survival assays and there have been no attempts to correlate the functions of these receptors to the endoproteolytic activation of Rel2. Additionally, a reliable readout for An. gambiae Imd pathway activation is still lacking, since the antimicrobial peptides (AMPs) Cec1, Defensin 1 and Gambicin, commonly used to gauge pathway activation are also regulated by Toll/Rel1 pathway [10].

Here, we show using a panel of bacteria that Rel2 pathway plays a central role in the clearance of Gram-negative and Gram-positive bacteria from the hemocoel during septic infections and provide direct evidence that this is driven by Rel2-F endoproteolytic activation in the fat body and not by Rel2-S. We also show that PGRPLC1 is necessary and sufficient for Rel2-F activation in the fat body in response to infections with Gram-positive bacteria containing Lys-type PGN. However, sensing of Gram-negative bacteria and Gram-positive bacilli containing DAP-type PGN is more complex and may be mediated by various PGRPLC isoforms.

Results

Mosquito Rel2 pathway provides resistance against systemic infections with Gram-positive and Gram-negative bacteria

The contribution of Rel2 to anti-bacterial defense has been almost exclusively based on data obtained from mosquito survival assays [8,12,13], which measure host tolerance rather than resistance to infections. To determine the contribution of Rel2 to mosquito resistance to bacterial infections, adult female An. gambiae G3 mosquitoes were injected with double-stranded RNA complementary to Rel2 (dsRel2), then, 3 days later, challenged by intrathoracic injections of bacteria. DsRel2 mosquitoes injected with S. aureus and E. coli exhibited significant bacterial proliferation in tissues at early and late time points post-infection (pi) compared to dsLacZ control (Fig 1A and 1B). Of note, S. aureus was rapidly cleared from dsLacZ mosquitoes, being barely detected by day 6 pi, whereas significant numbers remained in dsRel2 mosquitoes at day 8 pi. This compromised ability of dsRel2 mosquitoes to clear bacteria from the hemocoel was also observed with septic infections established with a virulent Bacillus cereus strain (Fig 1D) and Enterococcus faecalis (Fig 1C), indicating that the Rel2 pathway provides broad-spectrum protection against infections with Gram-positive and Gram-negative bacteria.

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Fig 1. Rel2 pathway is essential for resisting systemic bacterial infections.

Bacterial proliferation assays conducted on whole mosquitoes injected with (A) S. aureus (OD600 = 0.4), (B) E. coli (OD600 = 0.4), (C) E. faecalis (OD600 = 0.08), and (D) B. cereus (OD600 = 1). Batches of 6 whole mosquitoes each were homogenized in LB medium at the indicated time points after infection, and colony forming units (CFU) were scored on selective media. Data are presented as boxes and whiskers with medians and interquartile ranges. Each point on the scatter plot represents the mean LOG2 transformed CFU per mosquito in a given batch. Statistical analysis comparing bacterial proliferation in dsRel2 (blue bars) versus dsLacZ (grey bars) at every indicated time point was performed using Mann-Whitney test in (A) and (D), and two-tailed Welch’s t-test in (B) and (C). with P-values less than 0.05 considered significant. ****, P < 0.0001; *** P < 0.001. Data shown are from (A) 2, and (B-D) 3 independent experiments. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.g001

Resistance to systemic infections requires Rel2-F endoproteolytic cleavage in the fat body

DsRel2 is complementary to a region in the RHD that is shared by Rel2-F and Rel2-S, therefore it silences both transcripts (Fig 2A and [12]). To investigate which of these two transcripts is the main contributor to mosquito anti-bacterial defense, we opted to specifically silence each of these transcripts independently. To specifically silence Rel2-F, we utilized dsRel2-F that targets a sequence in the region encoding the ankyrin domain (Fig 2A), as previously described [12]. However, the specific silencing of Rel2-S has not been described so far, as it is thought to be identical in sequence to Rel2-F, with the exception that it lacks the sequences encoding the ankyrin and death domains [12]. Since we could not find any nucleotide sequence for Rel2-S in the literature nor in the databases, we performed 3′ RACE to try to identify any unique sequence in the 3′ end of Rel2-S that could be leveraged for the specific silencing of this transcript; if there exist any significant sequence divergence between both transcripts, it is expected to be towards the 3′ end (Fig 2A). Interestingly, we identified a contiguous sequence of 130 nucleotides at the distal 3′ end of Rel2-S that is unique to this transcript, of which 46 nucleotides are predicted to be coding while the rest are in 3′ UTR (Figs 2A and S1). We designed dsRel2-S that is complementary to this region (Fig 2A) to silence specifically Rel2-S and showed that dsRel2-S indeed silences Rel2-S but not Rel2-F (Fig 2B). We also showed that both transcripts are significantly upregulated in the fat body at 6 hours (h) pi with S. aureus (Fig 2B). Interestingly, dsRel2 and dsRel2-F mosquitoes exhibited similar compromised abilities to clear S. aureus (Fig 2C) and E. coli (Fig 2D) infections, whereas dsRel2-S mosquitoes cleared the bacteria as efficiently as the dsLacZ control group. Additionally, at 6 hpi with S. aureus, dsRel2-S mosquitoes showed normal Cec1 (Fig 2E) and Defensin 1 (Def1) (S2 Fig) expression in the fat body, whereas Cec1 and Def1 expression was significantly reduced in dsRel2 and dsRel2-F mosquitoes. Altogether, these results suggest that Rel2-S does not play a role in defense against septic bacterial infections.

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Fig 2. Rel2-F undergoes activation cleavage and is essential for resisting systemic bacterial infections.

(A) Schematic drawing of the structural organization of Rel2-F and Rel2-S transcripts based on Vectorbase prediction and the previous study of Meister et al. [12]. Exons (boxes), introns (lines) and protein domains (in color) are shown. RHD, Rel homology domain; Ank, ankyrin domain: DD, death domain. Putative cleavage sites are indicated by scissors and regions targeted by the dsRNAs used to silence both forms (dsRel2), the full form (dsRel2-F) and the short form (dsRel2-S) are indicated by red lines. The sequence of 130 nucleotides unique to Rel2-S exon 7 is shown. (B) QRT-PCR showing Rel2-F and Rel2-S relative expression in the fat body after S. aureus (OD600 = 3) and PBS (control) injections, and the specificity of dsRel2-S silencing. Data are presented as mean ± SEM from 5 different biological experiments (shown in different colors). Statistical significance of the observed differences was calculated using one-way ANOVA followed by Dunnett’s multiple comparisons test. (C-D) Bacterial CFU counts in whole mosquitoes injected with (C) S. aureus (OD600 = 1) and (D) E. coli (OD600 = 1) in the indicated mosquito genotypes. Data from 3 independent experiments are presented as boxes and whiskers with medians and interquartile ranges. Each dot represents the LOG2 transformed mean CFU per mosquito in a given batch of 6 mosquitoes. Statistical analysis was performed using Kruskal-Wallis test followed by Dunn’s multiple comparisons test. (E) Cecropin 1 (Cec1) expression measured by qRT-PCR in the fat body of the indicated mosquito genotypes after injection with S. aureus (OD600 = 3) or sterile PBS (control). Data are presented as mean ± SEM from 5 independent experiments (shown in different colors). Statistical analysis is as in panel B. (F-G) Western blots showing Rel2-F endoproteolytic cleavage in the fat body after S. aureus (OD600 = 3) injection of (F) dsRNA-treated mosquitoes and (G) wildtypes. β-actin was used as loading control. Each lane contains fat body extracts equivalent to 2 mosquito abdomens (excluding guts and ovaries). Each image is representative of 2 independent experiments. (H-I) Western blots showing Rel2-F cleavage in fat body of mosquitoes at 6 hpi with (H) live (Li) or heat-inactivated (Hi) S. aureus (OD600 = 3), E. coli (OD600 = 3) and B. cereus (OD600 = 2) and (I) with live S. aureus (Sa), E. coli (Ec) at the same OD as in panel H, and with purified polymeric S. aureus and E. coli peptidoglycan (PGN). The graph bar in panel H represents the normalized p90/p135 band density with respect to β-actin (loading control) from 4 independent biological experiments. Statistical analysis was performed using two-tailed Welch’s t-test. The figure in panel I is representative of at least 2 independent biological experiments. Red triangles correspond to Rel2-p135 and Rel2-p90. ****, P < 0.0001; ***, P < 0.001; **, P < 0.01; *, P < 0.05. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.g002

It remains unclear whether activation of mosquito Rel2-F requires its endoproteolytic cleavage to release the inhibitory ankyrin and death domains, like its Drosophila orthologue Relish [27,28]. Using a Rel2-specific antibody raised against the RHD, we show that S. aureus infection triggered Rel2-F endoproteolytic cleavage in the fat body resulting in a 90 kDa (Rel2-p90) cleaved product corresponding in size to Rel2-F lacking the ankyrin and death domains (Fig 2F). Treating mosquitoes with dsRel2 or dsRel2-F strongly reduced Rel2-F full (p135) and cleaved (p90) forms in the fat body to similar extents (Fig 2F). Rel2-S is expected to encode a constitutively active transcription factor of similar size to the cleaved Rel2-F p90 form, since it lacks the ankyrin and death domains. However, silencing Rel2-S did not reduce p90 protein levels in the fat body (Fig 2F), indicating that Rel2-S protein is not expressed in the fat body during bacterial infections, in agreement with its RNAi phenotypes that show no role in bacterial clearance nor in regulating Cec1 and Def1 expression. Rel2-F cleavage in the fat body peaks between 6 and 12 hpi, returning to basal levels by 24 hpi (Fig 2G), indicating that Rel2 activation is subject to tight temporal regulation. Rel2-F cleavage was efficiently induced by bacteria containing Lys-type (S. aureus) and DAP-type PGN (E. coli, B. cereus) (Fig 2H). Injecting heat-inactivated bacteria dramatically reduced Rel2-F cleavage which was almost abolished with heat-inactivated S. aureus and B. cereus (Fig 2H), indicating that bacterial proliferation is likely important for efficient Rel2-F activation. Of note, although septic infection is clearly upregulating Rel2-F protein, the increase in p135 (full form) levels is always modest because it is rapidly cleaved to p90 (Fig 2F and 2G). Injecting pure polymeric S. aureus and E. coli PGN efficiently triggered Rel2-F cleavage indicating that PGN is indeed the inducer of the Imd pathway (Fig 2I).

PGRPLC1 induces Rel2-F cleavage in response to infections with Gram-positive bacteria containing Lysine-type peptidoglycan

Functional genetic studies and gene reporter assays in An. gambiae mosquitoes and cell lines, respectively, proposed PGRPLC as the putative receptor of the Imd/Rel2 pathway in response to infections with Gram-positive and Gram-negative bacteria, but PGRPLC function has not been directly linked to Rel2 activation [23,25]. Furthermore, it remains controversial which of the three main PGRPLC isoforms (LC1, LC2 or LC3) is the sensor of Lysine-type PGN of Gram-positive bacteria and DAP-type PGN of Gram-negative bacteria and some Gram-positive bacilli, as mosquito survival assays implicated all 3 isoforms to different extents in defense against S. aureus and E. coli infections, with PGRPLC3 exhibiting the strongest RNAi phenotype [23]. Also, in silico structural modeling suggested that all isoforms can bind both PGN types [23], and pull-down assays showed that recombinant PGRPLC1 and PGRPLC3 ectodomains interact with DAP-type PGN [26]. Here, we leveraged Rel2-F activation cleavage in the fat body as a readout to investigate which of the PGRPLC isoforms is responsible for sensing infections with Lys- and DAP-type PGN-containing bacteria. We used the same dsRNA templates described by Rodgers et al. [26] to silence the different isoforms. Silencing PGRPLC1, but not PGRPLC2 or PGRPLC3, almost abolished Rel2-F cleavage at 6 hpi with S. aureus, with concomitant enrichment of its p135 full-form (Fig 3A). Co-silencing PGRPLC1 and PGRPLC3, which was previously proposed to be the main isoform involved in anti-bacterial defense [23], gave the same phenotype as PGRPLC1 silencing (Fig 3A). PGRPLC1 kd inhibited significantly Rel2-F cleavage in the fat body after infections with S. aureus and E. faecalis (contain Lys-type PGN) but not with E. coli, S. marcescens, or B. cereus, all of which contain DAP-type PGN (Fig 3B). Furthermore, PGRPLC1 kd reduced significantly mosquito resistance to S. aureus infections (Fig 3C) and S. aureus-induced Cec1 (Fig 3D) and Def1 (Fig 3E) upregulation to similar levels as dsRel2, whereas PGRPLC3 kd exhibited similar RNAi phenotypes as dsLacZ control (Fig 3C and 3D). Neither PGRPLC1 nor PGRPLC3 kd, however, reduced Cec1 expression after E. coli infections (Fig 3F). Altogether, these results indicate that PGRPLC1 is the bona fide receptor of the Imd pathway in response to infections with Gram-positive bacteria containing Lys-type PGN.

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Fig 3. PGRPLC1 controls Rel2-F activation after infections with Lys-type PGN-containing bacteria.

(A-B) Western blots showing Rel2-F cleavage in the indicated gene knockdowns after infection with (A) S. aureus (OD600 = 3), (B) S. aureus (Sa, OD600 = 3), E. faecalis (Ef, OD600 = 3), E. coli (Ec, OD600 = 3), S. marcescens (Sm, OD600 = 1) and B. cereus (Bc, OD600 = 2). Each lane contains fat body extracts equivalent to 2 mosquito abdomens (excluding gut and ovaries). The graph bars represent the normalized p90/p135 band density at the 6-hour time point with respect to β-actin (loading control) from 3 and 4 independent experiments (shown in different colors) in panels A and B, respectively. Statistical analysis in panel A was performed using One-way ANOVA followed by Dunnett’s multiple comparisons test and in panel B using the two-tailed Welch’s t-test by comparing the means of the two groups in each infection. Red triangles correspond to Rel2-p135 and Rel2-p90. (C) Bacterial CFU counts in whole mosquito homogenates injected with S. aureus (OD600 = 1). Data from 2 independent experiments are presented as boxes and whiskers with medians and interquartile ranges. Each dot represents the LOG2 transformed mean CFU per mosquito in a given batch of 6 mosquitoes. Statistical analysis was performed using One-way ANOVA followed by Dunnett’s multiple comparisons test. (D-F) QRT-PCR analysis of (D and F) Cec1 and (E) Def1 expression measured in the fat body of the indicated mosquito genotypes after injection with S. aureus (OD600 = 3) or E. coli (OD600 = 3). Data are presented as mean ± SEM from 5, 5 and 6 independent experiments (shown in different colors), respectively. Statistical analysis was performed using One-way ANOVA followed by Dunnett’s multiple comparisons test. ****, P < 0.0001; *** P < 0.001; ** P < 0.01; * P < 0.05. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.g003

The fact that Rel2-F cleavage was not altered in dsPGRPLC1 mosquitoes infected with bacteria containing DAP-type PGN prompted us to test whether the other two isoforms function in concert to sense these bacterial infections. Silencing the PGRPLC isoforms individually or in different pairwise combinations did not inhibit Rel2-F cleavage in response to E. coli infections (Fig 4A and 4C). We then tested whether silencing all isoforms simultaneously by injecting a dsRNA mixture containing dsPGRPLC1, dsPGRPLC2 and dsPGRPLC3 or a dsRNA that targets an exon common to the PGRP domains of all possible PGRPLC isoforms (dsPGRPLC, [29]), would inhibit Rel2-F cleavage after E. coli infections. Interestingly, whereas Rel2-F cleavage was strongly inhibited in dsPGRPLC mosquitoes concomitant with a clear enrichment in p135 (Fig 4B), it was relatively moderately inhibited in dsPGRPLC1/LC2/LC3 mosquitoes (Fig 4C). DsPGRPLC mosquitoes exhibited significant proliferation of E. coli (Fig 4D) which was not observed in dsPGRPLC1 or dsPGRPLC3 mosquitoes (Fig 4E). Also, E. coli-induced Cec1 and Def1 upregulation were systematically reduced in dsPGRPLC compared to dsLacZ mosquitoes in all experiments (Fig 4F and 4G). In contrast, Cec1 expression in E. coli-infected mosquitoes treated with different dsRNA pairwise combinations of the main PGRPLC isoforms or with the dsPGRPLC1/LC2/LC3 mixture was similar to that in dsLacZ controls (Fig 4H). Altogether, these results suggest that PGRPLC is involved in sensing DAP-type PGN, however several isoforms seem to be redundantly involved in that process. Among all tested PGRP isoforms, PGRPLC1 and PGRPLC3 exhibited excellent silencing efficiencies in single gene knockdowns by RNAi reaching ~80% and ~90%, respectively, whereas PGRPLC2 showed a more modest silencing efficiency ranging between 25 and 40% (S3A Fig). The dsPGRPLC1/LC2/LC3 mixture exhibited slightly better gene silencing efficiencies of the 3 main PGRPLC isoforms than dsPGRPLC (S3B Fig).

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Fig 4. Rel2-F activation cleavage in response to E. coli infections requires PGRPLC.

(A-C) Western blots showing Rel2-F cleavage in the indicated gene knockdowns and time post-infection with E. coli (OD600 = 3). β-actin was used as loading control. Each lane contains fat body extracts equivalent to 2 mosquito abdomens (excluding gut and ovaries). Each image is representative of (A) 2, (B) 3 and (C) 3 independent experiments. The graph bars in panels B and C represent the normalized p90/p135 band density. Statistical analysis was performed using the two-tailed Welch’s t-test in panel B and Kruskal-Wallis test followed by Dunn’s multiple comparisons test in panel C. *, P < 0.05. Red triangles correspond to Rel2-p135 and Rel2-p90. (D-E) Bacterial CFU counts in whole mosquito homogenates in the indicated gene knockdowns after injection with E. coli (OD600 = 1). Data from 2 independent experiments are presented as boxes and whiskers with medians and interquartile ranges. Each dot represents the LOG2 transformed mean CFU per mosquito in a given batch of 6 mosquitoes. Statistical analysis was performed using Kruskal-Wallis test followed by Dunn’s multiple comparisons test. (F-H) QRT-PCR analysis of (F and H) Cecropin 1 (Cec1) and (G) Defensin 1 (Def1) expression in the fat body of the indicated mosquito genotypes at 6 hpi with E. coli (OD600 = 3) or injection of sterile PBS (control). Data are presented as mean ± SEM from 7, 6 and 5 independent experiments (shown in different colors) in panels F, G and H, respectively. Statistical analysis was performed using One-way ANOVA followed by Dunnett’s multiple comparison test. ****, P < 0.0001; ***, P < 0.001; **, P < 0.01; *, P < 0.05. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.g004

PGRPLB does not regulate the mosquito Imd pathway in the fat body during septic infections

Drosophila PGRP-LB negatively regulates the Imd pathway in systemic and local gut infections with Gram-negative bacteria [3032]. In An. coluzzii, PGRPLB silencing enhanced Cec1 expression in the fat body of naïve mosquitoes at 6 days post-silencing and of blood-fed mosquitoes at 3 days post-blood ingestion, suggesting that it may play a similar role to its Drosophila ortholog [29], however, its role in regulating the Imd pathway during systemic bacterial infections has not been investigated. Here, we show that PGRPLB silencing did not enhance Rel2-F activation cleavage during systemic infections with S. aureus (Fig 3A) and E. coli (Fig 4A); although Rel2 p90 was apparently enriched in E. coli infections, this pattern was not systematically observed (S4C Fig). These results agree with the lack of effect on Cec1 regulation in PGRPLB silenced mosquitoes at 6 hpi with S. aureus (Fig 3D) and E. coli (Fig 3F), and the fact that dsPGRPLB mosquitoes did not exhibit enhanced clearance of S. aureus (Fig 3C) and E. coli (Fig 4E) at 24 hpi. We then asked whether this absence of regulation over Cec1 is probably due to the early time point (6 hpi) at which it was assessed, especially that PGRPLB is a negative regulator, and its activity may be more pronounced at later time points to prevent extended activation of the Imd/Rel2 pathway. However, PGRPLB kd did not alter Cec1 expression in the fat body at 72 hpi with S. aureus (S4A Fig), nor did it prolong Rel2-F activation cleavage at 24 hpi with S. aureus (S4B Fig) and E. coli (S4C Fig). The mosquito midgut microbiota undergoes dramatic proliferation after a blood meal [23,33], which prompted us to test whether PGRPLB could be negatively regulating the Imd pathway in the fat body in response to PGN fragments that might leak from the distended midgut after blood feeding. Surprisingly, Rel2-F expression in the fat body at 6, 15 and 24 hours after a blood meal was similar to that in sugar-fed mosquitoes and the cleaved p90 form was barely detected only at 6h post-blood feeding (S5A-S5C Fig). PGRPLB silencing did not enhance Rel2-F expression nor cleavage after blood feeding (S5B and S5C Fig). Again, we did not detect a protein product for Rel2-S in the fat body of blood-fed mosquitoes. Altogether, these results suggest that the Imd pathway does not seem to be induced in the fat body after a blood meal.

Rel2-F cleavage in the midgut after oral infections requires PGRPLC

The Imd/Rel2 pathway is also active in the Anopheles midgut where it provides resistance to invading Plasmodium parasites [811], controls gut microbiota proliferation [23] and regulates peritrophic matrix formation [34]. To determine whether Rel2-F exhibits similar activation cleavage dynamics in the midgut as in the fat body, we first fed mosquitoes on S. marcescens containing sugar pads and monitored Rel2-F cleavage in mosquito midguts dissected at 12 hours post-continuous feeding on the bacteria. The p90 form was clearly more pronounced in the midguts of S. marcescens-fed dsLacZ mosquitoes than in the sugar-fed groups which exhibited basal levels of p90, probably triggered by the microbiota (Fig 5A-5C). Both, the p90 and p135 forms of Rel2 were strongly reduced in S. marcescens-fed dsRel2 and dsRel2-F but not in dsRel2-S mosquitoes (Fig 5A), recapitulating the results obtained in the fat body that Rel2-S is not translated under the tested experimental conditions. The individual silencing of the 3 main PGRPLC isoforms did not inhibit Rel2-F cleavage in response to S. marcescens oral infections (Fig 5C) nor did it alter Cec1 expression at 12 hpi with S. marcescens (Fig 5D). Interestingly, injecting mosquitoes with dsPGRPLC (Fig 5B) but not the dsPGRPLC1/LC2/LC3 mixture (Fig 5C) strongly inhibited Rel2-F cleavage after oral S. marcescens infections with concomitant enrichment of the full form, indicating that PGRPLC controls REL2-F activation cleavage in the gut after sensing Gram-negative bacteria. Even in naïve, sugar-fed mosquitoes, dsPGRPLC inhibited the basal cleavage of Rel2-F probably triggered by the microbiota, as shown by the enrichment of Rel2-p135 (Fig 5B). In the midgut, the Rel2-F full form appears as two bands; the typical 135 kDa band that is also detected in the fat body and another band at ~125 kDa that is only detected in midgut extracts. This lower band could be generated either by cleavage of p135 by gut enzymes during extraction or by tissue-specific alternative splicing at the 5′ end of Rel2-F which was previously shown to contain two alternative 5′ exons [12]. Cec1 and Def1 expression were not significantly upregulated in the midgut after S. marcescens infections and their expression does not appear to be regulated by Rel2 (Fig 5D and 5E). This contrasts with their strong upregulation in the fat body after systemic infections in a Rel2-dependent manner (Figs 2E, S2, 3D and 3E).

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Fig 5. PGRPLC controls Rel2-F cleavage in the midgut after oral infections.

(A-C) Western blots showing Rel2-F cleavage in the midgut of the indicated mosquito genotypes after feeding on sugar or on S. marcescens (Sm, OD600 = 15) for 12 hours. β-actin was used as loading control. Each lane contains extracts from 5 mosquito midguts (including cardia, anterior and posterior midguts). The images shown are representative of 2, 2 and 4 independent experiments in panels A, B (both shown) and C, respectively. The bar graph under the western blot in panel C represents the normalized p90/p135 band density with respect to β-actin (loading control). The bars in the graph align with their corresponding lanes in the western blot above. Data are presented as mean ± SEM from 4 independent experiments (shown in different colors). Statistical analysis was performed using using One-way ANOVA followed by Dunnett’s multiple comparisons test. Red triangles indicate Rel2-p135 and Rel2-p90. Asterisks (*) refer to Rel2 bands generated likely by enzymatic activity in the midgut during extraction. (D) Cec1 and (E) Def1 expression measured by qRT-PCR in the midguts (including cardia, anterior and posterior midguts) of the indicated mosquito genotypes after oral infections with S. marcescens (OD600 = 15). Data are presented as mean ± SEM from 4 independent experiments (shown in different colors). Statistical analysis was performed using One-way ANOVA followed by Dunnett’s multiple comparisons test. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.g005

Discussion

The Imd pathway is a central arm of insect antimicrobial immunity that deals primarily with bacterial infections [35,36]. Here, we show that the An. gambiae Imd/Rel2 pathway is a central player in resistance to bacterial infections since Rel2 silencing compromised the mosquito ability to clear systemic infections with both Gram-positive and Gram-negative bacteria. Rel2-F mediates the anti-bacterial resistance and undergoes endoproteolytic cleavage in the fat body in response to systemic infections that peaked at 6 hpi, returning to basal levels at 24 hpi, suggesting that the pathway is tightly regulated. Rapid activation of the Imd pathway has been also described in Drosophila [27,37]. It has been proposed that Relish is rapidly activated to control fast-replicating microbes like bacteria in the fly tissues [38,39], in contrast to the anti-fungal Toll pathway that is activated within hours with AMP expression peaking at 24 hpi and persisting for days [40]. Our work also suggests that Rel2-S, a minor splice variant of Rel2, does not seem to be translated neither in the fat body nor in the midgut under the experimental conditions tested herein. This explains why Rel2-S silencing did not alter mosquito resistance to bacterial infections nor antimicrobial peptide expression. Indeed many genes generate splice variants that are not translated and appear to be generated from noise in the splicing machinery [41,42]. Nevertheless, this result was surprising since Rel2-S has been associated with defense against P. falciparum in An. gambiae mosquitoes [9,11]. This role for Rel2-S has been indirectly deduced by comparing the RNAi phenotypes of dsRel2 (that silences both Rel2-S and Rel2-F) and dsRel2-F [9,11], since, prior to our work, there has been no attempt to specifically silence Rel2-S. Since a functional role for Rel2-S has been proposed, so far, only in the context of Plasmodium infections, it remains possible that Rel2-S is transiently expressed in the midgut during blood feeding to regulate the microbiota proliferation and/or certain aspects of the midgut physiology, which we could not assess by western blot due to technical hurdles associated with the masking effect of blood bolus proteins. Future work should assess the relative contributions of Rel2-F and Rel2-S to regulating the microbiota and midgut physiology in response to blood feeding. Interestingly, blood feeding did not trigger Rel2-F cleavage in the fat body despite the blood meal-induced dramatic proliferation of the midgut microbiota [23,33], suggesting that either the distended midgut does not leak during a blood meal or that PGRP amidases neutralize the immunostimulatory PGN in the midgut lumen as shown in Drosophila [30,31,43,44].

We show that PGRPLC1 is the bona fide receptor of the Imd pathway in the context of infections with Gram-positive bacteria containing Lys-type PGN, since its knockdown abolished Rel2-F activation cleavage, reduced Cec1 and Def1 upregulation in the fat body and triggered significant bacterial proliferation in the hemolymph after S. aureus infections. Our results are in line with a previous study showing that PGRPLC1 is the main regulator of Cec1 promoter in the An. gambiae 4a3A cell line [25]. In contrast, Meister et al have previously shown that silencing the 3 main PGRPLC isoforms simultaneously and not PGRPLC1 alone was required to inhibit Cec1 upregulation [23]. A plausible explanation for this discrepancy is that in their study, Cec1 expression was gauged in whole mosquito extracts and at 3 hpi with S. aureus [23], whereas we scored Cec1 expression at 6 hpi in the fat body. At 3 hpi, Cec1 expression in the fat body might not have peaked enough to allow the detection of a clear phenotype with PGRPLC1 kd, in addition to masking effects from the relatively high, constitutive expression levels of Cec1 in the midgut. Rel2-F was also cleaved in the fat body and midgut after infections with bacteria containing DAP-type PGN in a PGRPLC-dependent manner, however, sensing of DAP-type PGN seems to be goverened by multiple PGRPLC isoforms. This is supported by a previous work showing that the recombinant ectodomains of PGRPLC1 and PGRPLC3 co-precipitated with polymeric DAP-type PGN of E. coli, whereas PGRPLC2 and PGRPLC3 bound to the E. coli peptidoglycan monomer, tracheal cytotoxin [26], inferring that all isoforms might be involved in sensing Gram-negative bacteria. Furthermore, the fact that dsPGRPLC was relatively slightly less efficient in silencing all 3 main isoforms than the dsPGRPLC1/LC2/LC3 mixture, yet it was more efficient in inhibiting Rel2-F cleavage in the fat body and midgut as well as the upregulation of Cec1 and Def1 in the fat body, suggests that additional PGRPLC isoforms with hybrid domains may also be involved in sensing DAP-type PGN. This relaxed mode of recognition may not be suprising since the majority of the mosquito gut microbiota are Gram-negative bacteria, which predicts that infections triggered by crossing the midgut will likely be inflicted by these Gram-types. The PGRPLC gene was previously reported to harbor a complex architecture encoding, in addition to the 3 major isoforms, also transcripts with hybrid PGRP domains, such as an LC2/LC3 hybrid [23]. This is possible because the PGRP domain of each of the major isoforms is encoded by one exon shared by all isoforms and two variable exons [23]. Our results suggest that dsPGRPLC, which targets the exon common to all isoforms [23], gives better RNAi phenotypes than the dsPGRPLC1/LC2/LC3 mixture, probably by sufficiently inhibiting all possible transcripts, whereas PGRPLCs with hybrid domains may escape, at least partially, silencing by the isoform-specific dsRNA mixture. A more thorough sequencing of the PGRPLC gene transcripts will be required to clarify this discrepancy.

In the midgut, although Rel2-F is cleaved following oral infections with S. marcescens in a PGRPLC-dependent manner, it does not seem to regulate Cec1 nor Def1 expression. In fact, oral infections did not upregulate Cec1 nor Def1 in the midgut, suggesting that these, and possibly other, AMPs are constitutively expressed at sufficient levels and that higher levels may damage the microbiota. However, since our midgut samples included the cardia, anterior and posterior midguts, we cannot exclude that antimicrobial peptide expression in the midgut may be driven by Rel2-F in a more compartmentalized manner. Since Rel2-F regulates AMP expression in the fat body during systemic infections but not in the midgut during oral infections, raises the question whether the transcriptional programs triggered by the Imd/Rel2 pathway in these two immune tissues are only partially overlapping. Tissue-specific transcriptomic analysis in Rel2 kd mosquitoes will be required to address this point.

Studies in D. melanogaster [30,31] and An. coluzzii [29] identified a role for PGRPLB in negatively regulating the Imd pathway, however, in the latter species, this role was investigated only in the context of naïve and blood-fed mosquitoes. It is intriguing that we have not observed any effect of PGRPLB kd on Cec1 expression nor on the kinetics of Rel2-F activation cleavage in the fat body and midgut after bacterial infections, despite the fact that PGRPLB is expressed in both tissues according to our previous RNAseq data [45]. Gendrin et al showed that PGRPLB silencing in naïve An. coluzzii mosquitoes enhanced Cec1 expression in the fat body at 6 days post-dsPGRPLB injection [29]. The latest time point at which we measured Cec1 expression in the fat body of bacteria-infected dsPGRPLB mosquitoes is 3 days pi. At this time point, mosquitoes still harbour significant numbers of bacteria, according to our time-course bacterial proliferation assays, which we speculate may overwhelm PGRPLB activity. PGRPLB function may be more important at later time points to shut down the response as bacterial numbers decrease in the tissues. Rel2-F was expressed at basal levels in the fat body until 24 hours after blood feeding with no evidence of cleavage taking place, and this pattern did not change after silencing PGRPLB. Our results agree with a previous report showing that PGRPLB does not regulate Cec1 expression in the fat body of An. coluzzii at early time points post blood-feeding [29]. Although a blood meal triggers dramatic proliferation of the mosquito midgut microbiota [23,33], it would be premature to conclude at this stage that PGRPLB does not play a role in preventing the systemic activation of the Imd pathway in response to midgut bacterial proliferation, since we have not measured Rel2-F cleavage and Cec1 expression in the fat body after feeding mosquitoes on bacteria or on purified PGN. PGRPLB does not seem to regulate Cec1 expression in the midgut in response to oral infections, which is in line with the study of Gendrin et al who reported an absence of control over Cec1 in sugar and blood-fed mosquito midguts [29]. These results contrast with the role of PGRP-LB in Drosophila where it negatively regulates the Imd pathway in both systemic and local immune responses [30,31]. PGRPLB knockout flies showed prolonged (till day 4) Diptericin gene expression after septic infections with Gram-negative bacteria containing DAP-type PGN [30], which we did not observe in our system. Importantly, while Drosophila PGRP-LB exists as cytosolic and secreted isoforms [32], the An. gambiae PGRPLB is predicted to be membrane bound which could possibly limit its accessibility to released PGN fragments. However, it is currently difficult to draw accurate conclusions on An. gambiae PGPRLB, first because it is not clear whether it functions as an amidase for DAP-type or Lys-type PGN, and second because its silencing efficiency was modest approximating 35%, similar to what has been previously reported [29].

The cleavage of Rel2-F in the fat body is much more efficient with live than heat-inactivated bacteria, suggesting that the mosquito Imd pathway is likely activated by peptidoglycan fragments that are released from dividing cells through the activity of bacterial enzymes, such as autolysins, or host enzymes, like lysozyme [46,47]. Vaz et al have shown that recombinant Drosophila PGRP-LC and -SA can also engage peptidoglycan on the surface of Gram-positive bacteria in vitro especially in the absence of wall teichoic acids [48]. The fact that polymeric PGN of both E. coli and S. aureus triggered Rel2-F cleavage and since heat-inactivation is likely damaging to PGN [49], we cannot exclude that heat-inactivation may have also disrupted the direct interaction of mosquito PGRPLC with peptidoglycan exposed on the surface of Gram-positive bacteria.

The observation that polymeric PGN from S. aureus and E. coli triggers Rel2-F cleavage in the fat body agrees with a previous report showing that recombinant PGRPLC1 and PGRPLC3 bind polymeric DAP-type PGN of E. coli [26]. It is also possible that the activity of lysozyme on the injected polymeric PGN generated muropeptides that activated PGRPLC. Unfortunately, we were not able to secure muropeptides to compare their effects on Rel2-F cleavage to that of polymeric PGN.

In conclusion, our findings contribute to better understanding of the molecular make-up of the An. gambiae Imd pathway that plays an essential role in resistance to malaria parasites. A more refined understanding of immune pathways in vectors of disease will better guide genetic efforts to engineer parasite-refractory genotypes.

Materials and methods

Ethics statement

This study was carried out according to the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health (Bethesda, USA). The animal protocol was approved by the Institutional Animal Care and Use Committee IACUC of the American University of Beirut (permit number 24-06-630). The IACUC complies with the Public Health Service Policy on the Humane Care and Use of Laboratory Animals (USA) and adopts the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health.

Rearing of An. gambiae mosquitoes

All experiments were performed on adult female Anopheles gambiae G3 strain mosquitoes. Mosquitoes were maintained in our insectary at 27 °C (± 0.5) and 75% (± 5%) humidity, with a 12-hour day-night cycle. Adults were maintained on 10% sucrose and were fed on BALB-c mice anesthetized using a ketamine/xylazine mixture for egg laying.

Double stranded RNA synthesis and gene silencing by RNAi

DNA amplification of target genes was performed using T7 flanked primers listed in S1 Table. Gene-specific double-stranded RNAs (dsRNAs) were synthesized from T7-tagged purified PCR amplicons using the T7 RiboMax Express Large Scale RNA production system (Promega) according to the manufacturer’s instructions and purified as previously described [50]. Gene silencing by RNAi was performed by injecting 1–3-days-old adult female mosquitoes anesthetized over CO2 with 69 nl of a 3.5 μg/μl dsRNA solution for single gene knockdowns, 138 nl of a 1:1 mixture of two dsRNAs at 3.5 μg/μl each for double gene knockdowns, or 138 nl of a 1:1:1 mixture of three dsRNAs at 5 μg/μl each for triple gene knockdowns. Injections were done using a Drummond Nanoject II nanoliter injector.

Bacterial infections and proliferation assays

The bacteria used in this study include, E. coli (GFP-expressing, ampicillin-resistant; [51]), S. marcescens strain DB11 (RFP-expressing, gentamycin-resistant; [52]), B. cereus (GFP-expressing, erythromycin-resistant; Kind gift from Dr. Laure Chamy, USJ), S. aureus (GFP-expressing, chloramphenicol-resistant; [53]) and E. faecalis (kind gift from Dr. Antoine Abou Fayad, AUB Medical School). Bacteria were cultured overnight, washed and resuspended in sterile 1x phosphate-buffered saline (PBS) before use. Septic infections were performed by intrathoracic microinjection of mosquitoes with 69 nL of live bacterial suspensions at varying OD600 values (as specified in figure legends). Bacterial infections were performed 3 days post dsRNA-injection into mosquitoes. For infections using heat-killed bacteria, bacterial suspensions were incubated at 70°C for 10 minutes, and successful inactivation was confirmed by plating on Luria-Bertani (LB) agar supplemented with the appropriate antibiotic. For oral infections, mosquitoes were fed on sugar pads containing 3% sucrose solution and S. marcescens (OD600 = 15). Mosquitoes were starved for 8 hours before feeding on a 3% sucrose solution (control) or on S. marcescens-containing sugar pads for 12 hours. A food colorant was added to the pads to aid in sorting fed mosquitoes, which were then used in subsequent experiments. To assess mosquito resistance to bacterial infections, bacterial proliferation was measured in whole mosquito homogenates. Briefly, at designated time points post-infection, batches each of six bacteria-infected mosquitoes per genotype were homogenized in 500 µl LB broth. The homogenates were serially diluted, and 10 µl from each dilution was plated onto LB agar containing the appropriate antibiotic or on Selective Enterococcus Agar for E. faecalis. After overnight incubation at 37°C, bacterial Colony-Forming Units (CFUs) were quantified under a fluorescent stereoscope. All raw CFU data are listed in S2 Table.

Western blot analysis

To assess the cleavage profile of Rel2-F in the mosquito fat body, abdomens (excluding the guts and the ovaries) were dissected in sterile 1x PBS from wild-type or dsRNA-treated adult female mosquitoes at different time points post-injection with E. coli (OD600 = 3), S. marcescens (OD600 = 1), B. cereus (OD600 = 2), S. aureus (OD600 = 3) or E. faecalis (OD600 = 3), from blood-fed mosquitoes, or from mosquitoes injected with pure peptidoglycan from S. aureus (Invivogen, cat# tlrl-pgns2)) or E. coli (Invivogen, cat# tlrl-kipgn) resuspended in endotoxin-free water at concentrations of 2 and 4 mg/ml. Abdomens were dissected from 6 mosquitoes per sample, homogenized in 60 μl of 1x Laemmli buffer for 1 min using a micro-pestle to lyse fat body cells, then centrifuged at 13000 g for 10 minutes at 4°C. Supernatants were collected into new tubes and 20 μl of each protein extract (equivalent to 2 abdomens) was supplemented with 5% β-Mercaptoethanol, boiled for 3 min and resolved by SDS-PAGE.

To assess the cleavage profile of Rel2-F in mosquito midguts (including cardia, anterior and posterior midgut), a group of 6 dsRNA-treated adult female mosquitoes fed with 3% sugar or S. marcescens-containing sugar pads were dissected in cold sterile 1x PBS supplemented with 1x protease inhibitor (PI) cocktail (Roche), then homogenized using micro-pestle in 30 μl of 1x Laemmli buffer containing PI for 30 secs. Samples were immediately boiled for 5 min to inhibit gut proteases, then centrifuged at 13000 g for 10 minutes at 4°C. Supernatants were collected into new tubes, supplemented with 5% β-Mercaptoethanol and resolved by SDS-PAGE.

All protein extracts were resolved using 8–10% gradient SDS-PAGE and wet transferred into immunoblot PVDF membranes using the BioRad Mini Trans-Blot Cell. Membranes were blocked with 1x PBS containing 0.05% Tween 20 and 3% milk for 1 hour at room temperature, followed by an overnight incubation at 4°C with the primary antibodies rabbit αRel2 (1:1000; produced by BOSTER) and mouse αActin (1:3000). Anti-rabbit or anti-mouse IgG horseradish peroxidase-conjugated secondary antibodies were used at 1:14000 and 1:6000 dilutions, respectively. Western blots were revealed with BioRad Clarity Max western ECL substrate and imaged using ChemiDoc MP (BioRad). Where indicated, band quantification was performed using Image Lab software. The raw data for the normalized Rel2 p90/p135 band densities are listed in S3 Table.

RNA extraction and Real-Time PCR

Total RNA was extracted from 15 mosquito abdomens (excluding guts and ovaries) and 25 mosquito midguts (including cardia, anterior and posterior midguts) to assess Cec1 and Def1 gene expression in fat body and midguts, respectively, at the designated time points. To determine gene silencing efficiency, total RNA was extracted from 15 whole mosquitoes per gene knockdown at 3 days post-dsRNA injection. All tissues were collected and homogenized in TRIzol reagent (Invitrogen) and total RNA was extracted and purified as previously described [50]. First-strand cDNA was produced from 0.5-1 μg of total RNA using the iScript cDNA synthesis kit (Bio-Rad). QRT-PCR was performed in a CFX96 real-time detection system (Bio-Rad) using SYBR Green JumpStart Taq Ready Mix (Sigma-Aldrich) according to the manufacturer’s instructions. The An. gambiae ribosomal S7 gene was used as an endogenous control for normalization, and relative gene expression values were calculated using the comparative CT method. Primers used in qRT-PCR are listed in S1 Table. All raw gene expression data are listed in S4 Table.

Amplification of the 3′ end of Rel2-S transcript

The 3′ end of Rel2-S cDNA was amplified using the 3′ RACE system for rapid amplification of cDNA ends (Invitrogen) according to the manufacturer’s instructions. Briefly, total RNA was extracted from the abdomens of 15 S. aureus-infected mosquitoes at 6 hpi using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. Contaminant genomic DNA was removed by treatment with the RNAse-free DNAse I (Thermo Scientific). cDNA synthesis was performed using an oligo-dT containing adapter primer, as described by the RACE kit. The 3′ ends of Rel2-F and Rel2-S transcripts were amplified by PCR using a Rel2-specific primer (5′-GCCATTCCGGAAGGTCAAGA-3′) that anneals to the shared RHD sequence of both transcripts and a universal amplification primer that anneals to the oligo-dT containing adaptor primer (provided by the kit). The PCR generated 2 main amplicons, one at ~1800 bp which corresponds indeed to the size expected for Rel2-F and a second of ~ 600 bp that corresponds to Rel2-S (S6 Fig). The two Rel2 amplicons were gel-purified, cloned into the pGEM-T and approximately 600 bp were sequenced from their 3′ end to identify potential sequences unique to Rel2-S.

Supporting information

S1 Table. List of primers used for dsRNA synthesis and qRT-PCR.

https://doi.org/10.1371/journal.ppat.1013527.s001

(DOCX)

S2 Table. Raw LOG2 transformed data of all CFU assays.

https://doi.org/10.1371/journal.ppat.1013527.s002

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S3 Table. Raw data of all the normalized p90/p135 band densities.

https://doi.org/10.1371/journal.ppat.1013527.s003

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S4 Table. Raw LOG2 transformed data of all Cec1 and Def1 expression analysis.

https://doi.org/10.1371/journal.ppat.1013527.s004

(XLSX)

S1 Fig. Alignment of the partial sequences of Rel2-S and Rel2-F.

The last 3′ terminal 606 nucleotides of Rel2-S identified by 3′ RACE (including the 3′UTR) were aligned with their corresponding region in Rel2-F (spanning exons 5 (partially), 6 and 7). In bold are the 130 nucleotides at the distal 3′ end of Rel2-S that are unique to this transcript, of which 46 nucleotides are coding while the rest are in 3′ UTR. The stop codon in Rel2-S is shown in red.

https://doi.org/10.1371/journal.ppat.1013527.s005

(TIF)

S2 Fig. Silencing Rel2 and Rel2-F compromises S. aureus-induced Defensin 1 expression in the fat body.

Defensin 1 (Def1) expression measured by qRT-PCR in the fat body of the indicated mosquito genotypes after injection with S. aureus (OD600 = 3) or sterile PBS (control). LOG2 transformed data are presented as mean ± SEM from 6 independent experiments (shown in different colors). Statistical analysis was performed using the two-tailed Mann-Whitney. **, P < 0.01.

https://doi.org/10.1371/journal.ppat.1013527.s006

(TIF)

S3 Fig. PGRPLC and PGRPLB gene silencing efficiencies in sugar-fed mosquitoes.

(A) The relative expression of the shown PGRPLC isoforms and of PGRPLB in single gene knockdowns was scored in sugar-fed whole mosquitoes at day 3 post-injection of the respective dsRNA and compared to the basal level expression in dsLacZ-injected control mosquitoes. Data shown are from 6 (PGRPLC1), 5 (PGRPLC2, PGRPLC3), and 4 (PGRPLB) independent biological experiments. (B) Relative expressions of PGRPLC1, PGRPLC2 and PGRPLC3 in sugar-fed whole mosquitoes at day 3 post-injection of dsPGRPLC (that targets a common exon in all PGRPLC splice variants) or a dsRNA mixture of dsPGRPLC1, dsPGRPLC2 and dsPGRPLC3. Data shown are from at least 4 independent biological experiments. Shown are mean values (± SEM).

https://doi.org/10.1371/journal.ppat.1013527.s007

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S4 Fig. PGRPLB does not regulate Rel2 activation in the fat body during systemic bacterial infections.

(A) Cecropin 1 (Cec1) expression measured by qRT-PCR in the fat body of the indicated mosquito genotypes at 72 hpi with S. aureus (OD600 = 3) or injection of sterile PBS (control). Data are represented as mean ± SEM from 5 independent experiments (shown in different colors). Statistical analysis was performed using One-way ANOVA followed by Dunnett’s multiple comparison test. ***, P < 0.001. (B-C) Western blot analysis showing Rel2-F cleavage in the indicated gene knockdowns and times post-infection with (B) S. aureus (OD600 = 3) and (C) E. coli (OD600 = 3). β-actin was used as loading control. Each lane contains fat body extracts equivalent to 2 mosquito abdomens (excluding gut and ovaries). Red triangles indicate Rel2-p135 and Rel2-p90. The bar graphs in panels B and C represent the normalized p90/p135 band density from 4 and 3 independent experiments (shown in different colors), respectively. Statistical analysis was performed using the two-tailed Welch’s t-test. ns, non-significant.

https://doi.org/10.1371/journal.ppat.1013527.s008

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S5 Fig. Blood feeding does not activate Rel2-F in the fat body.

Western blot analysis showing Rel2-F cleavage in the indicated gene knockdowns at (A) 6 hours, (B) 15 hours, and (C) 24 hours post-blood feeding. β-actin was used as loading control. Each lane contains fat body extracts equivalent to 2 mosquito abdomens (excluding gut and ovaries). Each image is representative of 2 independent experiments. Red triangles indicate Rel2-p135 and Rel2-p90.

https://doi.org/10.1371/journal.ppat.1013527.s009

(TIF)

S6 Fig. Identification of the 3′ end of Rel2-S transcript by 3′ RACE.

(A) Strategy of amplification of the 3′ end of Rel2-S transcript. UAP; universal amplification primer. (B) cDNA generated by 3′ RACE from total RNA isolated from the abdomens of naïve or S. aureus (OD600 = 3) infected mosquitoes.

https://doi.org/10.1371/journal.ppat.1013527.s010

(TIF)

Acknowledgments

We thank Kamal A. Shair Central Research Laboratory for providing free access to their equipment. We like to thank our lab assistant Sara Haj Youssef for mosquito rearing. We also thank Dr. Laure El Chamy from Saint Joseph University and Dr. Antoine Abou Fayad from AUB medical school for providing the B. cereus and E. faecalis strains, respectively.

References

  1. 1. Evans JD, Aronstein K, Chen YP, Hetru C, Imler J-L, Jiang H, et al. Immune pathways and defence mechanisms in honey bees Apis mellifera. Insect Mol Biol. 2006;15(5):645–56. pmid:17069638
  2. 2. Irving P, Troxler L, Heuer TS, Belvin M, Kopczynski C, Reichhart JM, et al. A genome-wide analysis of immune responses in Drosophila. Proc Natl Acad Sci U S A. 2001;98(26):15119–24. pmid:11742098
  3. 3. Sackton TB, Lazzaro BP, Schlenke TA, Evans JD, Hultmark D, Clark AG. Dynamic evolution of the innate immune system in Drosophila. Nat Genet. 2007;39(12):1461–8. pmid:17987029
  4. 4. Tanaka H, Ishibashi J, Fujita K, Nakajima Y, Sagisaka A, Tomimoto K, et al. A genome-wide analysis of genes and gene families involved in innate immunity of Bombyx mori. Insect Biochem Mol Biol. 2008;38(12):1087–110. pmid:18835443
  5. 5. Waterhouse RM, Kriventseva EV, Meister S, Xi Z, Alvarez KS, Bartholomay LC, et al. Evolutionary dynamics of immune-related genes and pathways in disease-vector mosquitoes. Science. 2007;316(5832):1738–43. pmid:17588928
  6. 6. Zou Z, Evans JD, Lu Z, Zhao P, Williams M, Sumathipala N, et al. Comparative genomic analysis of the Tribolium immune system. Genome Biol. 2007;8(8):R177. pmid:17727709
  7. 7. Christophides GK, Zdobnov E, Barillas-Mury C, Birney E, Blandin S, Blass C. Immunity-related genes and gene families in Anopheles gambiae. Science. 2002;298(5591):159–65.
  8. 8. Dong Y, Das S, Cirimotich C, Souza-Neto JA, McLean KJ, Dimopoulos G. Engineered anopheles immunity to Plasmodium infection. PLoS Pathog. 2011;7(12):e1002458. pmid:22216006
  9. 9. Garver LS, Bahia AC, Das S, Souza-Neto JA, Shiao J, Dong Y, et al. Anopheles Imd pathway factors and effectors in infection intensity-dependent anti-Plasmodium action. PLoS Pathog. 2012;8(6):e1002737. pmid:22685401
  10. 10. Garver LS, Dong Y, Dimopoulos G. Caspar controls resistance to Plasmodium falciparum in diverse anopheline species. PLoS Pathog. 2009;5(3):e1000335. pmid:19282971
  11. 11. Mitri C, Jacques J-C, Thiery I, Riehle MM, Xu J, Bischoff E, et al. Fine pathogen discrimination within the APL1 gene family protects Anopheles gambiae against human and rodent malaria species. PLoS Pathog. 2009;5(9):e1000576. pmid:19750215
  12. 12. Meister S, Kanzok SM, Zheng XL, Luna C, Li TR, Hoa NT. Immune signaling pathways regulating bacterial and malaria parasite infection of the mosquito Anopheles gambiae. Proc Natl Acad Sci U S A. 2005;102(32):11420–5.
  13. 13. Antonova Y, Alvarez KS, Kim YJ, Kokoza V, Raikhel AS. The role of NF-kappaB factor REL2 in the Aedes aegypti immune response. Insect Biochem Mol Biol. 2009;39(4):303–14. pmid:19552893
  14. 14. Ayres JS, Schneider DS. Tolerance of infections. Annu Rev Immunol. 2012;30:271–94.
  15. 15. Medzhitov R, Schneider DS, Soares MP. Disease tolerance as a defense strategy. Science. 2012;335(6071):936–41. pmid:22363001
  16. 16. Choe K-M, Werner T, Stöven S, Hultmark D, Anderson KV. Requirement for a peptidoglycan recognition protein (PGRP) in Relish activation and antibacterial immune responses in Drosophila. Science. 2002;296(5566):359–62. pmid:11872802
  17. 17. Gottar M, Gobert V, Michel T, Belvin M, Duyk G, Hoffmann JA, et al. The Drosophila immune response against Gram-negative bacteria is mediated by a peptidoglycan recognition protein. Nature. 2002;416(6881):640–4. pmid:11912488
  18. 18. Neyen C, Poidevin M, Roussel A, Lemaitre B. Tissue- and ligand-specific sensing of gram-negative infection in drosophila by PGRP-LC isoforms and PGRP-LE. J Immunol. 2012;189(4):1886–97. pmid:22772451
  19. 19. Takehana A, Yano T, Mita S, Kotani A, Oshima Y, Kurata S. Peptidoglycan recognition protein (PGRP)-LE and PGRP-LC act synergistically in Drosophila immunity. EMBO J. 2004;23(23):4690–700.
  20. 20. Kaneko T, Goldman WE, Mellroth P, Steiner H, Fukase K, Kusumoto S, et al. Monomeric and polymeric gram-negative peptidoglycan but not purified LPS stimulate the Drosophila IMD pathway. Immunity. 2004;20(5):637–49. pmid:15142531
  21. 21. Kaneko T, Yano T, Aggarwal K, Lim JH, Ueda K, Oshima Y. PGRP-LC and PGRP-LE have essential yet distinct functions in the drosophila immune response to monomeric DAP-type peptidoglycan. Nat Immunol. 2006;7(7):715–23.
  22. 22. Stenbak CR, Ryu J-H, Leulier F, Pili-Floury S, Parquet C, Hervé M, et al. Peptidoglycan molecular requirements allowing detection by the Drosophila immune deficiency pathway. J Immunol. 2004;173(12):7339–48. pmid:15585858
  23. 23. Meister S, Agianian B, Turlure F, Relógio A, Morlais I, Kafatos FC, et al. Anopheles gambiae PGRPLC-mediated defense against bacteria modulates infections with malaria parasites. PLoS Pathog. 2009;5(8):e1000542. pmid:19662170
  24. 24. Werner T, Borge-Renberg K, Mellroth P, Steiner H, Hultmark D. Functional diversity of the Drosophila PGRP-LC gene cluster in the response to lipopolysaccharide and peptidoglycan. J Biol Chem. 2003;278(29):26319–22. pmid:12777387
  25. 25. Lin H, Zhang L, Luna C, Hoa NT, Zheng L. A splice variant of PGRP‐LC required for expression of antimicrobial peptides in Anopheles gambiae. Insect Science. 2007;14(3):185–92.
  26. 26. Rodgers FH, Cai JA, Pitaluga AN, Mengin-Lecreulx D, Gendrin M, Christophides GK. Functional analysis of the three major PGRPLC isoforms in the midgut of the malaria mosquito Anopheles coluzzii. Insect Biochem Mol Biol. 2020;118:103288.
  27. 27. Stöven S, Ando I, Kadalayil L, Engström Y, Hultmark D. Activation of the Drosophila NF-kappaB factor Relish by rapid endoproteolytic cleavage. EMBO Rep. 2000;1(4):347–52. pmid:11269501
  28. 28. Stoven S, Silverman N, Junell A, Hedengren-Olcott M, Erturk D, Engstrom Y, et al. Caspase-mediated processing of the Drosophila NF-kappaB factor Relish. Proc Natl Acad Sci U S A. 2003;100(10):5991–6. pmid:12732719
  29. 29. Gendrin M, Turlure F, Rodgers FH, Cohuet A, Morlais I, Christophides GK. The Peptidoglycan Recognition Proteins PGRPLA and PGRPLB Regulate Anopheles Immunity to Bacteria and Affect Infection by Plasmodium. J Innate Immun. 2017;9(4):333–42. pmid:28494453
  30. 30. Paredes JC, Welchman DP, Poidevin M, Lemaitre B. Negative regulation by amidase PGRPs shapes the Drosophila antibacterial response and protects the fly from innocuous infection. Immunity. 2011;35(5):770–9. pmid:22118526
  31. 31. Zaidman-Rémy A, Hervé M, Poidevin M, Pili-Floury S, Kim M-S, Blanot D, et al. The Drosophila amidase PGRP-LB modulates the immune response to bacterial infection. Immunity. 2006;24(4):463–73. pmid:16618604
  32. 32. Charroux B, Capo F, Kurz CL, Peslier S, Chaduli D, Viallat-Lieutaud A, et al. Cytosolic and Secreted Peptidoglycan-Degrading Enzymes in Drosophila Respectively Control Local and Systemic Immune Responses to Microbiota. Cell Host Microbe. 2018;23(2):215-228.e4. pmid:29398649
  33. 33. Dong Y, Manfredini F, Dimopoulos G. Implication of the mosquito midgut microbiota in the defense against malaria parasites. PLoS Pathog. 2009;5(5):e1000423. pmid:19424427
  34. 34. Song X, Zhou H, Wang J. Cell wall components of gut commensal bacteria stimulate peritrophic matrix formation in malaria vector mosquitoes through activation of the IMD pathway. PLoS Biol. 2025;23(1):e3002967. pmid:39761205
  35. 35. Fogaça AC, Sousa G, Pavanelo DB, Esteves E, Martins LA, Urbanová V, et al. Tick Immune System: What Is Known, the Interconnections, the Gaps, and the Challenges. Front Immunol. 2021;12:628054. pmid:33737931
  36. 36. Liegeois S, Ferrandon D. Sensing microbial infections in the Drosophila melanogaster genetic model organism. Immunogenetics. 2022;74(1):35–62. pmid:35092465
  37. 37. Georgel P, Naitza S, Kappler C, Ferrandon D, Zachary D, Swimmer C, et al. Drosophila immune deficiency (IMD) is a death domain protein that activates antibacterial defense and can promote apoptosis. Dev Cell. 2001;1(4):503–14. pmid:11703941
  38. 38. Cammarata-Mouchtouris A, Acker A, Goto A, Chen D, Matt N, Leclerc V. Dynamic regulation of NF-kappaB response in innate immunity: the case of the IMD pathway in Drosophila. Biomedicines. 2022;10(9).
  39. 39. Kleino A, Silverman N. The Drosophila IMD pathway in the activation of the humoral immune response. Dev Comp Immunol. 2014;42(1):25–35. pmid:23721820
  40. 40. Lemaitre B, Reichhart JM, Hoffmann JA. Drosophila host defense: differential induction of antimicrobial peptide genes after infection by various classes of microorganisms. Proc Natl Acad Sci U S A. 1997;94(26):14614–9. pmid:9405661
  41. 41. Melamud E, Moult J. Stochastic noise in splicing machinery. Nucleic Acids Res. 2009;37(14):4873–86. pmid:19546110
  42. 42. Saudemont B, Popa A, Parmley JL, Rocher V, Blugeon C, Necsulea A, et al. The fitness cost of mis-splicing is the main determinant of alternative splicing patterns. Genome Biol. 2017;18(1):208. pmid:29084568
  43. 43. Bischoff V, Vignal C, Duvic B, Boneca IG, Hoffmann JA, Royet J. Downregulation of the Drosophila immune response by peptidoglycan-recognition proteins SC1 and SC2. PLoS Pathog. 2006;2(2):e14. pmid:16518472
  44. 44. Guo L, Karpac J, Tran SL, Jasper H. PGRP-SC2 promotes gut immune homeostasis to limit commensal dysbiosis and extend lifespan. Cell. 2014;156(1–2):109–22. pmid:24439372
  45. 45. Dekmak AS, Yang X, Zu Dohna H, Buchon N, Osta MA. The route of infection influences the contribution of key immunity genes to antibacterial defense in Anopheles gambiae. J Innate Immun. 2020;1–20.
  46. 46. Chaput C, Boneca IG. Peptidoglycan detection by mammals and flies. Microbes Infect. 2007;9(5):637–47. pmid:17383922
  47. 47. Humann J, Lenz LL. Bacterial peptidoglycan degrading enzymes and their impact on host muropeptide detection. J Innate Immun. 2009;1(2):88–97. pmid:19319201
  48. 48. Vaz F, Kounatidis I, Covas G, Parton RM, Harkiolaki M, Davis I, et al. Accessibility to Peptidoglycan Is Important for the Recognition of Gram-Positive Bacteria in Drosophila. Cell Rep. 2019;27(8):2480-2492.e6. pmid:31116990
  49. 49. Cebrian G, Condon S, Manas P. Physiology of the Inactivation of Vegetative Bacteria by Thermal Treatments: Mode of Action, Influence of Environmental Factors and Inactivation Kinetics. Foods. 2017;6(12).
  50. 50. Zakhia R, Osta MA. CLIPA7 exhibits pleiotropic roles in the Anopheles gambiae immune response. J Innate Immun. 2022;1–16.
  51. 51. Labrousse A, Chauvet S, Couillault C, Kurz CL, Ewbank JJ. Caenorhabditis elegans is a model host for Salmonella typhimurium. Curr Biol. 2000;10(23):1543–5. pmid:11114526
  52. 52. Nehme NT, Liégeois S, Kele B, Giammarinaro P, Pradel E, Hoffmann JA, et al. A model of bacterial intestinal infections in Drosophila melanogaster. PLoS Pathog. 2007;3(11):e173. pmid:18039029
  53. 53. Malone CL, Boles BR, Lauderdale KJ, Thoendel M, Kavanaugh JS, Horswill AR. Fluorescent reporters for Staphylococcus aureus. J Microbiol Methods. 2009;77(3):251–60. pmid:19264102