- 1Departamento de Biociências e Diagnóstico Bucal, Instituto de Ciência e Tecnologia, Universidade Estadual Paulista (UNESP), São José dos Campos, Brazil
- 2Department of Genetics, Microbiology and Immunology, Institute of Biosciences, Universidade Estadual Paulista (UNESP), Botucatu, Brazil
- 3Universidade Mogi das Cruzes, Mogi das Cruzes, Brazil
Introduction: Galleria mellonella is widely used as an in vivo model in microbiological and toxicological studies due to its reproducibility, low cost, and ease of handling. However, maintaining homogeneous laboratory colonies presents challenges. This study evaluated whether different incubation methods influence the larval immune response against Staphylococcus aureus, Candida albicans, and Escherichia coli.
Methods: Four experimental groups were established: (1) Traditional group (TG), eggs stored at 27°C; (2) Immediate group (IG), eggs stored at 16°C for 120 days before incubation at 27°C; (3) Gradual group (GG), temperature gradually reduced from 27°C to 16°C over 98 days, then increased back; and (4) Frozen group (FG), eggs stored at freezing temperatures.
Results and discussion: FG eggs were non-viable, and IG and GG showed delayed development. IG larvae were more susceptible to infections, while GG larvae resembled TG. Thus, GG can serve as an effective alternative rearing method.
1 Introduction
Understanding human infections and host-pathogen interactions relies heavily on research using animal models. Each year, millions of vertebrates are used in scientific experiments, with mice and rats being the most used species (Mukherjee et al., 2022). This practice has come under increasing scrutiny, leading to stricter ethical regulations and longer approval processes. The high costs and logistical complexities associated with vertebrate models have prompted researchers to explore alternative models, such as insects. Among these, Galleria mellonella, commonly known as the greater wax moth, has become an increasingly valuable alternative in vivo model in microbiological and toxicological research (Kling, 2020; Gallorini et al., 2024) due to its susceptibility to a wide range of human pathogens, including bacteria (e.g., Staphylococcus aureus) (Lyu et al., 2017; Zhao et al., 2019; Guevara et al., 2022; Ten et al., 2023; Gallorini et al., 2024; Yu et al., 2024) and fungi (e.g., Candida albicans) (Mylonakis et al., 2005; Eisenman et al., 2014; Benaducci et al., 2016; Rossoni et al., 2017; Jin et al., 2020; Meccatti et al., 2022; Jothi and Gowrishankar, 2024).
This invertebrate offers significant advantages over vertebrate models, including reduced costs, easier handling compared to other insects commonly used as alternative in vivo models (e.g., Drosophila melanogaster), and good adaptability to human physiological temperature (37°C) and laboratory conditions, which influence microbial virulence factors. Additionally, G. mellonella is suitable for large-scale studies and does not require ethical approval (Mukherjee et al., 2011; Kling, 2020; Ten et al., 2023; Gallorini et al., 2024). The immune system of G. mellonella shares significant similarities with the mammalian innate immune system, which enhances its reliability as an in vivo model in microbiological research (Ten et al., 2023; Gallorini et al., 2024). This similarity includes mechanisms such as phagocytosis by hemocytes and the production of antimicrobial peptides (Tsai et al., 2016; Gallorini et al., 2024). Further, the production of cytokine-like molecules (e.g., interleukins, interferon and Tumor necrosis factor) by G. mellonella increased after stimulation by fungal infection, suggesting their capacity of modulating their immune responses (Wrońska et al., 2024). These features indicate G. mellonella’s potential to elucidate mammalian immune responses to infections, making it a valuable in vivo model for studying microbial pathogenesis, host-pathogen interactions, and the efficacy and toxicity of antimicrobial treatments (Mukherjee et al., 2011; Champion et al., 2016; Rossoni et al., 2017; Andrea et al., 2019; Bugyna et al., 2023; Ten et al., 2023).
Despite these advantages, obtaining and maintaining G. mellonella can pose significant challenges. The limited commercial availability of G. mellonella with a specific genotype, raised under standardized conditions, restricts accessibility for many laboratories. Typically, larvae are sourced from independent breeders, resulting in an uncontrolled environment that leads to inconsistencies in genotypes, breeding conditions and maintenance (Mylonakis, 2008; de Jong et al., 2022). These variations can influence the quality, health and their susceptibility to infections, negatively affecting the consistency and reproducibility of experimental results (Tsai et al., 2016). A solution that different laboratories adopt to address these challenges is the in-lab rearing of G. mellonella.
Although the rearing of G. mellonella in the laboratory is considered simpler than the breeding and maintenance of vertebrates and even other invertebrates, it still poses significant challenges and requires substantial dedication from the team involved (Giammarino et al., 2024). Keeping these larvae in optimal conditions demands continuous and meticulous work, including thorough cleaning of the containers where the larvae are kept, as any lapse in this process can compromise the colony’s health and render it unusable for experiments. Additionally, monitoring food, humidity, and temperature is crucial to ensure the proper development of the larvae, as even slight variations can negatively impact their life cycle (Pereira et al., 2020).
Due to the cyclical nature of G. mellonella rearing and the difficulty of obtaining eggs regularly, laboratories that choose to maintain these larvae often need to sustain them continuously, even when the larvae are not being directly used in experiments. However, maintaining uninterrupted rearing can become a significant challenge, due the high consumption of materials, such as substrate and food, along with the time and effort required from the team to ensure optimal hygiene and management conditions. This reality places many laboratories in a difficult position (Jorjão et al., 2018b; de Jong et al., 2022).
Thus, this study evaluated the effects of different egg incubation methods on larval susceptibility to various pathogens (S. aureus, E. coli, and C. albicans), including the hemocyte response to these infections. By addressing these issues, we sought to facilitate larval rearing in the laboratory and the use of G. mellonella in experimental studies, ensuring more consistent results across studies and laboratories.
2 Materials and methods
2.1 Experimental groups
In this study, four experimental groups were designed to simulate different conditions for maintaining and activating G. mellonella eggs: traditional, immediate, gradual, and frozen. A more detailed schematic of these conditions is presented in Figure 1. Eggs collection across the four experimental groups was conducted uniformly. Colored paper containing eggs recently laid by the female moths created in the invertebrate laboratory of the Microbiology and Immunology laboratory of ICT/Unesp., using the conventional protocol (Jorjão et al., 2018b) was collected and divided into four equal parts, with each part assigned to one of the experimental groups. Since the quantity and quality of food significantly affect larval weight, fecundity, and overall growth rates (Champion et al., 2018; Firacative et al., 2020; Hickin et al., 2021), all groups were fed with the same protein-rich diet (Jorjão et al., 2018b). Furthermore, the relative humidity and photoperiod conditions were maintained consistently across all experimental groups (Jorjão et al., 2018b). However, different methodologies for the incubation and conditioning of the eggs were employed for each experimental group.

Figure 1. Timeline of experimental parameters and incubation conditions applied to the eggs in the traditional (TG) (A); immediate (IG) (B); gradual (GG) (C); and frozen (FG) (D) groups during weekly monitoring.
In addition, images of each experimental group were taken every 7 days using a Zeiss Stemi 2000-C Stereo Microscope. Images of intact, hatched, or damaged eggs were captured at 16x magnification, while images of larvae and pupae were captured at 6.5x.
2.1.1 Traditional group (TG)
In TG, the conventional egg conditioning protocol was followed (Jorjão et al., 2018b), which has been used by our laboratory for over 10 years. After collecting the eggs, they were placed in a matte white plastic container along with the wax and feed. The container was then incubated at 27°C and monitored weekly until the eggs hatched.
2.1.2 Immediate group (IG)
In this group, the temperature was abruptly changed. After collecting the eggs, they were placed, along with the wax and feed, in a matte white plastic container. The container was then incubated at 16°C and maintained at this temperature for 120 days and monitored weekly. Following this period, the eggs were incubated at 27°C and monitored weekly to check for larval hatching. This group represents the urgent need to interrupt the rearing process by storing the eggs at low temperatures for extended periods.
2.1.3 Gradual group (GG)
In the GG, the temperature was initially decreased and then gradually increased. After the eggs were collected, they were placed in a matte white plastic container along with wax and feed. The container was initially incubated at 27°C, with a gradual reduction of 0.5°C per day (for easier adaptation to temperature changes) until it reached 16°C over 22 days. The eggs were then maintained at 16°C for an additional 76 days, totaling 98 days of incubation, with weekly monitoring. After the incubation period, the temperature was gradually increased by 0.5°C daily up to 27°C, totaling another 22 days, resulting in a final cycle of 120 days, with daily monitoring for signs of hatching. Once the temperature stabilized at 27°C, weekly monitoring was continued to observe larval hatching.
This group represents a planned strategy involving the gradual reduction of temperature, followed by long-term storage at lower temperatures. The culture is then reactivated by gradually increasing the temperature to ideal experimental conditions.
2.1.4 Frozen group (FG)
In the FG, the eggs were initially frozen and then reactivated. For this, after collection, the eggs were placed in a matte white plastic container along with the wax and feed. The container was then stored in a freezer at −4°C for 120 days. Following this period, food was provided for the eggs, and the temperature was raised to 27°C. The eggs were monitored weekly for 3 months to check for larval hatching. This group was created to simulate an attempt to abruptly stop the culture by freezing the eggs. The culture was then reactivated by rapidly raising the temperature to the ideal experimental conditions.
2.2 Evaluation of the effects of different egg incubation methods on the response of G. mellonella to infections by Candida albicans, Escherichia coli and Staphylococcus aureus
After the eggs from the different experimental groups hatched, G. mellonella larvae were conventionally fed with feed and wax, that is, three times a week the larvae were cleaned, and the food was replaced with fresh food. Then, 15 larvae (per group) weighing between 200 and 250 mg were selected to evaluate the impacts of egg storage conditions on hemocyte recruitment and the susceptibility of larvae to experimental infection. Larvae from TG, IG and GG were divided into 5 groups: (i) without intervention, (ii) inoculation with PBS, (iii) inoculation with Candida albicans, (iv) inoculation with Escherichia coli, and (v) inoculation with Staphylococcus aureus.
2.2.1 Microorganism cultivation
We used reference strains of Candida albicans ATCC 18804, Escherichia coli ATCC 25922, and Staphylococcus aureus ATCC 6538. Candida albicans was cultivated on Sabouraud dextrose agar (SDA; Kasvi, Pinhais, Brazil), while E. coli and S. aureus were cultivated on Mueller–Hinton (MH; Himedia, Mumbai, India) agar and Brain Heart Infusion (BHI) agar (Kasvi), respectively. All cultures were incubated for 48 h at 37°C.
2.2.2 Survival curves of G. mellonella
The susceptibility of Galleria mellonella larvae to microbial infection was evaluated using survival curve assays. Isolated colonies of C. albicans, E coli, and S. aureus, previously grown for 48 h at 37°C on SDA, MH and BHI agar, respectively, were transferred to BHI broth (Kasvi) for S. aureus and E. coli strains, and to Yeast Peptone Dextrose (YPD; Difco, Detroit, MI, USA) broth for C. albicans, followed by incubation at 37°C for 24 h. After this period, microbial suspensions were prepared in PBS and all microorganisms were standardized to 108 cells/mL. Then, the larvae were inoculated with 10 μL of PBS (control group), C. albicans, E. coli or S. aureus, according to each experimental group, by injection into the last right proleg using a 10 μL 26G Hamilton syringe (Hamilton Company, Reno, Nevada, USA). A control group of non-infected (NI) larvae was included. Each experimental group consisted of 15 randomly selected larvae. Survival rates were monitored every 24 h for over a period of 7 days. The larvae were considered dead when no movement was observed after gentle prodding (Ribeiro et al., 2017).
2.2.3 Hemocyte recruitment
For hemocyte recruitment, the hemolymph was collected 6 h after inoculation. The larvae were immobilized in an ice-cold Petri dish for 30 min and a small incision was made in the ventral side in a cephalocaudal direction using a scalpel. Subsequently, the hemolymph was removed, transferred to ice-cold microtubes containing isotonic phosphate solution [IPS; 2% sodium chloride, 100 mM glucose, 30 mM sodium citrate, 10 mM ethylenediaminetetraacetic acid salt dihydrate (EDTA), 26 mM citric acid monohydrate] medium in a ratio of 1:99 (hemolymph:IPS), and then 10 μL were placed in the hemocytometer for hemocyte quantification (Figueiredo-Godoi et al., 2019). At least four fields were analysed for each larval hemolymph sample.
2.3 Statistical analysis
The hemocyte recruitment was statistically analyzed using one-way analysis of variance (ANOVA), followed by Tukey’s test. Statistical analysis of G. mellonella survival curve was performed using the log-rank test (Mantel-Cox). All analysis were performed using GraphPad Prism 6 Program (GraphPad Software, Inc., La Jolla, CA, USA). Values of p < 0.05 were considered statistically significant.
3 Results
3.1 Effects of the egg conditioning method on TG larvae
In Figure 2A it is possible to observe the eggs recently collected from the TG. After the incubation period, eggs hatched and transferred to wax with food 7 days after collection. However, analysis by optical microscopy did not reveal larvae (Figure 2B). After 14 days, most of the eggs hatched and larvae were observed moving through the feed and wax under a microscope (Figure 2C). However, during this period, handling the contents is still not recommended to avoid damaging the newly hatched larvae. After 21 days, the larvae were visible to the naked eye (Figure 2D). At this stage, the containers where the larvae are kept must be cleaned to prevent dirt and moisture from accumulating. The larvae reached the penultimate larval instar after 28 days (Figure 2E). The last larval instar and weight required for experimental use (200–250 mg) were achieved between 35 and 42 days (Figure 2F). The first pupae emerged after 42 days (Figure 2G), and all larvae had transformed into pupae after 49 days (Figure 2H). During the analysis period, 95% of the eggs hatched and the larvae were intact, active, with excellent cocoon formation, and without dark pigments or striking lines.

Figure 2. Monitoring of the development of Galleria mellonella eggs from the TG. Monitoring of the development of G. mellonella eggs from the traditional group (TG) over 49 days. Image (at magnification of 16x and 6.5x) sequence shows the developmental stages of G. mellonella, from eggs to pupae formation. The TG was monitored at 1 (A), 7 (B), 14 (C), 21 (D), 28 (E), 35 (F), 42 (G), and 49 (H) days.The recorded stages include eggs, larvae and pupae. The evolution of morphological characteristics at each stage are indicated with arrows of different colors. Orange: intact eggs; blue: hatched eggs; green: damaged eggs; black: larval migration; yellow: adult larvae; and red: pupa.
3.2 Effects of the egg conditioning method on IG larvae
After collecting (Figure 3A), the eggs were incubated at 27°C, and the day count began immediately. During the first 7 days, 95% of the eggs remained intact, while a small percentage hatched, with the larvae transferring between the feed and the wax (Figure 3B). At this stage, the larvae clustered together and looked like a yellowish-white powder. This powdery appearance signals the migration of first-instar larvae toward the food source. However, they remain undetectable even under optical microscopy, as they are embedded within the wax and feed. However, these larvae were not yet visible under the optical microscope at the magnification used (16X). After 14 days, approximately 50% of the eggs remained intact, and the hatched larvae showed slow growth, still represented by something similar to a yellowish-white powder under optical microscopy (Figure 3C).

Figure 3. Monitoring of the development of Galleria mellonella eggs from the IG. Monitoring of the development of G. mellonella eggs from the immediate group (IG) over the days. Image (at magnification of 16x and 6.5x) sequence shows the developmental stages of G. mellonella, from eggs to pupae formation. The IG was monitored at 1 (A), 7 (B), 14 (C), 21 (D), 28 (E), 35 (F), 42 (G), 49 (H), 56 (I), and 63 (J) days. The recorded stages include eggs, larvae and pupae. The evolution of morphological characteristics at each stage are indicated with arrows of different colors. Orange: intact eggs; blue: hatched eggs; green: damaged eggs; black: larval migration; yellow: adult larvae; and red: pupa.
After 21 days, 80% of the eggs had hatched (Figure 3D), while the remaining 20% did not hatch by the 28-day mark, suggesting a lack of viability (Figure 3E). At this stage, some larvae were observed under the microscope, while most still appeared as a yellowish-white powder, indicating reduced metabolism compared to the TG. While some larvae displayed greater growth at 35 days, others remained very small (Figure 3F). After 42 days, some adult larvae were visible, while others remained at an early larval stage (Figure 3G). Although all larvae were active and intact, some displayed different coloring with well-defined lines, suggesting compromised health. The first pupae appeared after 49 days (Figure 3H) however, at 56 days there were still larvae and pupae (Figure 3I), and complete pupation was observed after 63 days (Figure 3J).
3.3 Effects of the egg conditioning method on GG larvae
After collecting the eggs (Figure 4A), they were incubated, and in this group, the day count began when the eggs were stored at 27°C. During the first 7 days, 97% of the eggs remained intact, while a small percentage hatched, and the larvae moved toward the feed (Figure 4B). At this stage, the larval structure was not yet visible under optical microscopy at 16X magnification; only a material resembling a yellowish-white powder could be observed. After 14 days, 85% of the eggs had not hatched, and the newly hatched larvae displayed slow growth compared to TG (Figure 4C). After 21 days, larvae continued to show slow growth, with approximately 60% of the eggs still unhatched (Figure 4D). After 28 days, 95% of the eggs had hatched, while 5% were still intact, indicating nonviability of those eggs (Figure 4E). At this point, the larval morphology of some was visible under light microscopy, but most remained as a yellowish-white powder, exhibiting remarkably slower growth than TG but similar to IG. A few more developed larvae were observed between 35 and 42 days (Figures 4F,G), though most retained their yellowish-white powdery appearance. After 49 days, the larvae began to grow, reaching a size visible to the naked eye (Figure 4H). Adult larvae were observed after 56 days (Figure 4I), and they reached a size suitable for the experiment after 63 days (Figure 4J). The first pupae were seen after 70 days (Figure 4K), with all larvae transforming into pupae by 77 days (Figure 4L). Like the TG, the larvae in the GG were intact, active, free of dark pigments or lines, and exhibited excellent cocoon formation at the appropriate stages.

Figure 4. Monitoring of the development of Galleria mellonella eggs from the GG. Monitoring of the development of G. mellonella eggs from the gradual group (GG) over the days. Image (at magnification of 16x and 6.5x) sequence shows the developmental stages of G. mellonella, from eggs to pupae formation. The GG was monitored at 1 (A), 7 (B), 14 (C), 21 (D), 28 (E), 35 (F), 42 (G), 49 (H), 56 (I), 63 (J), 70 (K) and 77 (L) days. The evolution of morphological characteristics at each stage are indicated with arrows of different colors. Orange: intact eggs; blue: hatched eggs; green: damaged eggs; black: larval migration; yellow: adult larvae; and red: pupa.
3.4 Effects of the egg conditioning method on FG
In this group, the eggs were monitored for 90 days but did not hatch, indicating that the conditioning method likely hindered the eggs’ ability to hatch and prevented the subsequent larval growth.
In addition, the effects of egg conditioning in different groups were summarized in the Table 1.

Table 1. Effects of egg conditioning methods – traditional group (TG), immediate group (IG), gradual group (GG) and frozen group (FG) – on the percentage (%) of egg, larvae and pupae of Galleria mellonella during weekly monitoring.
3.5 Effects of egg conditioning method on survival after infection
Larvae infected with E. coli exhibited survival rates of 46.6, 6.6, and 33% for TG, IG, and GG, respectively (Figure 5A). The survival rates after infection with C. albicans were 40% in TG, 13.3% in IG and 33% in GG (Figure 5B). The infection of larvae with S. aureus resulted in survival rates of 40, 26 and 40% for TG, IG and GG, respectively (Figure 5C). Non-infected (NI) larvae maintained 100% survival over the 168 h period (data not shown). Larvae grown according to the IG methodology exhibited the lowest survival rate against the three pathogens. Although the TG showed the highest survival rates, no statistically significant difference was observed between the groups.

Figure 5. Survival curves after infection. Survival curve of G. mellonella from groups under different conditions: Traditional group (TG - green), Immediate group (IG - pink) and Gradual group (GG - blue), following infection with E. coli (A), C. albicans (B) and S. aureus (C), for evaluation of the susceptibility of larvae to microbial infection. Statistical analyses were performed using the log-rank test (Mantel-Cox) (p < 0.05).
3.6 Effects of egg conditioning method on hemocyte recruitment
The concentration of hemocytes in the hemolymph was affected by the inoculated microorganism and the conditioning method. In C. albicans infection, the mean hemocyte count was 31.25 × 106 hemocytes/mL, 10.25 × 106 hemocytes/mL, and 25.83 × 106 hemocytes/mL in TG, IG and GG, respectively. Hemocyte recruitment was 47.75 × 106 hemocytes/mL for TG, 25.5 × 106 hemocytes/mL in IG and 31.17 × 106 hemocytes/mL for GG after infection with E. coli. Infection with S. aureus resulted in a hemocyte recruitment of 44 × 106 hemocytes/mL, 17,5 × 106 hemocytes/mL, and 36,5 × 106 hemocytes/mL for TG, IG and GG, respectively (Figure 6). The IG presented significantly lower counts of hemocytes compared to the TG. In contrast, GG showed no statistically significant difference to TG, however differed from IG when inoculated with C. albicans and E. coli.

Figure 6. Hemocyte recruitment. Hemocyte recruitment after infection with E. coli, C. albicans and S. aureus: The hemolymph was recovered for the hemocyte count from the Traditional group (TG - green), Immediate group (IG - pink) and Gradual group (GG - blue). Statistical analyses were performed using one-way analysis of variance (ANOVA), followed by Tukey’s test. Different letters represent statistically significant differences (p < 0.05).
4 Discussion
The G. mellonella model has been widely used for studies in biomedical research (Gallorini et al., 2024; Benaducci et al., 2016; Lyu et al., 2017; Rossoni et al., 2017). However, maintaining this colony in the laboratory with consistent quality for research is challenging, mainly due to the need for continuous maintenance (Jorjão et al., 2018b; de Jong et al., 2022). In this study, we evaluated the effects of four egg conditioning methods (TG, IG, GG and FG) on the development and quality of the larvae produced. Furthermore, we studied the impact of these different conditioning methods on the susceptibility of larvae to infections by microorganisms (yeasts, and Gram-positive and -negative bacteria) and on the recruitment of hemocytes.
Viability analysis revealed that FG eggs failed to hatch throughout the entire experimental period (90 days), indicating a lack of viability after the applied conditioning and incubation methods. This finding is consistent with the practices of beekeepers, who use cold chambers or freezers set at temperatures between −7°C and −15°C for 2 to 4.5 h (h) to treat combs infested with G. mellonella eggs (Yadav and Kaushik, 2017). This method effectively transforms infested combs into marketable products (Kwadha et al., 2017). In contrast, TG, IG, and GG demonstrated egg hatching viability starting on day 7, following the stabilization of temperature and food conditions. Although the initial hatching among the groups was similar, there was a significant difference in the proportion of hatched eggs over time. The TG exhibited a more uniform hatching pattern, with most eggs hatching (≅95%) within a short period, corroborating the findings of Cardoso et al. (2007) who observed that eggs stored at 27 and 22°C maintained approximately 97% viability. On the other hand, IG and GG showed a broader distribution of hatching: GG reached a hatching rate of ≅95% within 28 days, while IG achieved ≅80% hatching within 21 days. This variation in hatching time is also observed in nature, where environmental factors can influence the hatching period, which may range from 3 to 30 days (Kwadha et al., 2017). Previous studies demonstrated a slowdown in metabolism and development of G. mellonella eggs and larvae stored at low temperatures (Cymborowski, 2000; Cardoso et al., 2007).
The storage conditions of FG impacted not only the hatching of the eggs but also the larval development. In the IG and GG, a heterogeneous larval profile, i.e., larvae at different stages of development, was observed at each time point. In contrast, TG exhibited homogeneous development, resulting in synchronous larval development. This lack of uniformity in larval stages can be a challenge for scientific research, which often requires many larvae at the same instar to ensure experimental standardization and reproducibility of results (Firacative et al., 2020).
During development, we observed healthy, active, uniform larvae, free of pigmentation signs and well-formed cocoons in the TG and GG larvae. The IG larvae also showed similar movement and cocoon formation to those in the TG and GG. However, these larvae exhibited significant melanization spots. The activation of the melanization pathways occurs inside the nodules in response to stressful stimuli, such as inadequate environmental conditions or bacterial or fungal infection (Gallorini et al., 2024; Guevara et al., 2022; Ten et al., 2023; Yu et al., 2024; Jothi and Gowrishankar, 2024). Furthermore, melanization serves as a disease marker and a parameter for determining the health index of larvae in survival curve analysis. Therefore, larvae showing signs of melanization should be discarded (Loh et al., 2013; Wang et al., 2023).
The developmental stages of G. mellonella can also be affected by temperature fluctuations. Roversi et al. (2008) demonstrated that eggs stored at temperatures below 20°C, even with cryoprotective agents, such as polyethylene glycol, experience a drastic reduction in viability. Indeed, we observed that eggs from FG did not hatch and larvae from IG exhibited a delayed development compared with larvae constantly maintained at 27°C (TG). Analyses of the larvae’s nervous system suggested that the arrest of larval development might be due to the inhibition of their prothoracic glands (Cymborowski, 2000). On the other hand, larvae usually do not spin cocoons or pupate at high temperatures (i.e., 40°C), probably due to hormonal imbalances (Stairs, 1978). In this study, the onset of pupation was slower in IG and GG as expected, with the first pupae observed on 49th and 70th days, respectively. In TG, the first pupa was observed on 42nd day, and all larvae had completed pupation after 49 days. The exclusive presence of pupae was observed on 63rd day in IG and on 77th day in GG. Altogether, these data demonstrate a delayed larval development and pupation in IG and GG compared with TG. This delay varied between 7 and 28 days for the emergence of the first pupa, and between 14 and 28 days for complete pupation of the group. A previous comparative study demonstrated that larvae of G. mellonella kept at 18°C exhibited reduced body weight and were unable to pupate (Cymborowski, 2000), corroborating the findings of this study. However, the larvae resumed development and successfully formed pupae when transferred to 30°C (Cymborowski, 2000). This result contrasts with the larvae in the present study, which, even when maintained at 27°C, showed slower metabolic activity and delayed development.
Therefore, we studied the effects of different conditioning and incubation protocols on the susceptibility of G. mellonella larvae to pathogens and on the recruitment of hemocytes. Although the survival curve showed no statistically significant differences, the IG exhibited the lowest survival rate following infection with all tested pathogens. Furthermore, hemocyte recruitment was significantly lower in the IG compared with TG when infected with C. albicans, S. aureus, or E. coli, and in the GG for infections with C. albicans and E. coli. The increase in the number of larval hemocytes is an important indicator of an active immune response, exhibiting protective effects against infection with C. albicans (de Barros et al., 2019; Rossoni et al., 2019), S. aureus (Sheehan et al., 2020; Alnezary et al., 2023) and E. coli (Jorjão et al., 2018a; Guerrieri et al., 2019). Hemocytes are cells found in the hemolymph that are responsible for the larva’s cellular immune response, which involves phagocytosis, encapsulation, and coagulation of foreign bodies, including pathogens (Jorjão et al., 2018b; Pereira and Rossi, 2020).
As observed in our study, changes in the storage temperature of G. mellonella eggs and larvae can also impact the susceptibility of the larvae to microbial pathogens. Browne et al. (2015) demonstrated that incubation of G. mellonella larvae at 15°C for up to 10 weeks reduced their survival in experimental infection with C. albicans and S. aureus. The increased susceptibility of the insect was related to a significant reduction in the hemocyte count, as well as in the enzymatic levels of phenoloxidase, the main effector of the melanization process. Conversely, shorter incubation periods (approximately 24 h) appear to have opposite outcomes to those of longer periods. G. mellonella larvae incubated at 4 or 37°C for 24 h prior to infection assays demonstrated reduced susceptibility to C. albicans. This phenotype was explained by an increase in hemocyte density and expression of the main antimicrobial peptides (AMPs), with a peak in expression of these peptides 24 h post-incubation (Mowlds and Kavanagh, 2008). Antimicrobial peptides (AMPs) are a group of proteins mainly produced in the body fat and display a broad-spectrum activity against bacteria, fungi, parasites, and viruses (Andrejko et al., 2021). In G. mellonella, AMPs such as gallerimycin and galiomycin play a fundamental role in survival against C. albicans infection (de Barros et al., 2021). Increased expression of the AMPs gloverin and cecropin has also been associated with enhanced immune protection during experimental E. coli infections (Leuko and Raivio, 2012). In addition, the synthetic AMP IKR18 has demonstrated significant anti-infective activity against S. aureus, including methicillin-resistant Staphylococcus aureus (MRSA) strains (Ramalho et al., 2022), highlighting the broad-spectrum antimicrobial potential of AMPs. The maintenance of larvae at 48°C for 24 h also increased the resistance of G. mellonella to infection by the fungal pathogen Aspergillus fumigatus, probably due to the increase in hemocyte recruitment, the expression of AMPs and the prophenoloxidase enzymatic activity. In contrast, longer incubation periods (48 to 72 h) resulted in a decrease in these protective factors for G. mellonella (Browne et al., 2014).
In summary, our findings demonstrated that different egg conditioning strategies directly affected the larval phenotype and hemocyte recruitment in G. mellonella larvae. While storage at low temperatures resulted in the absence of viability, abrupt temperature changes impaired larval development and hemocyte response. Surprisingly, gradual temperature conditioning methods preserved larval viability and immune function. Then, we suggest that, in cases where conventional rearing methodologies (such as those used in TG) are unfeasible, gradual and controlled temperature changes (as in GG) could be implemented. Among the methodologies tested, larvae from TG and GG exhibited comparable phenotype profiles, indicating similar responses under experimental conditions.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author contributions
PC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. PL: Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. FS: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. JR: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. JJ: Funding acquisition, Project administration, Writing – review & editing. MG: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Validation, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP (2024/04696-4).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The authors declare that no Gen AI was used in the creation of this manuscript.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Alnezary, F. S., Almutairi, M. S., Alhifany, A. A., and Almangour, T. A. (2023). Assessing Galleria mellonella as a preliminary model for systemic Staphylococcus aureus infection: evaluating the efficacy and impact of vancomycin and Nigella sativa oil on gut microbiota. Saudi Pharm. J. 31:101824. doi: 10.1016/j.jsps.2023.101824
Andrea, A., Krogfelt, K. A., and Jenssen, H. (2019). Methods and challenges of using the greater wax moth (Galleria mellonella) as a model organism in antimicrobial compound discovery. Microorganisms 7:85. doi: 10.3390/MICROORGANISMS7030085
Andrejko, M., Mak, P., Siemińska-Kuczer, A., Iwański, B., Wojda, I., Suder, P., et al. (2021). A comparison of the production of antimicrobial peptides and proteins by galleria mellonella larvae in response to infection with two Pseudomonas aeruginosa strains differing in the profile of secreted proteases. J. Insect Physiol. 131:104239. doi: 10.1016/j.jinsphys.2021.104239
Benaducci, T., Sardi, J. D. C., Lourencetti, N. M., Scorzoni, L., Gullo, F. P., Rossi, S. A., et al. (2016). Virulence of Cryptococcus sp. biofilms in vitro and in vivo using Galleria mellonella as an alternative model. Front. Microbiol. 7:290. doi: 10.3389/FMICB.2016.00290
Browne, N., Surlis, C., and Kavanagh, K. (2014). Thermal and physical stresses induce a short-term immune priming effect in galleria mellonella larvae. J. Insect Physiol. 63, 21–26. doi: 10.1016/j.jinsphys.2014.02.006
Browne, N., Surlis, C., Maher, A., Gallagher, C., Carolan, J. C., Clynes, M., et al. (2015). Prolonged pre-incubation increases the susceptibility of galleria mellonella larvae to bacterial and fungal infection. Virulence 6, 458–465. doi: 10.1080/21505594.2015.1021540
Bugyna, L., Kendra, S., and Bujdáková, H. (2023). Galleria mellonella—a model for the study of aPDT—prospects and drawbacks. Microorganisms 11:1455. doi: 10.3390/MICROORGANISMS11061455
Cardoso, A. C., Prata, M. C. D. A., Furlong, J., and Prezoto, F. (2007). Exigências térmicas de estágios imaturos de Galleria mellonella L. (Lepidoptera: Pyralidae). Neotrop. Entomol. 36, 657–661. doi: 10.1590/S1519-566X2007000500004
Champion, O. L., Titball, R. W., and Bates, S. (2018). Standardization of G. mellonella larvae to provide reliable and reproducible results in the study of fungal pathogens. J. Fungi 4:108. doi: 10.3390/jof4030108
Champion, O. L., Wagley, S., and Titball, R. W. (2016). Galleria mellonella as a model host for microbiological and toxin research. Virulence 7, 840–845. doi: 10.1080/21505594.2016.1203486
Cymborowski, B. (2000). Temperature-dependent regulatory mechanism of larval development of the wax moth (Galleria mellonella). Acta Biochim. Pol. 47, 215–221. doi: 10.18388/abp.2000_4080
de Barros, P. P., Rossoni, R. D., de Camargo Ribeiro, F., Silva, M. P., de Souza, C. M., Jorge, A. O. C., et al. (2019). Two sporulated Bacillus enhance immunity in Galleria mellonella protecting against Candida albicans. Microb. Pathog. 132, 335–342. doi: 10.1016/j.micpath.2019.05.023
de Barros, P. P., Rossoni, R. D., Garcia, M. T., Kaminski, V. D. L., Loures, F. V., Fuchs, B. B., et al. (2021). The anti-biofilm efficacy of Caffeic acid Phenethyl Ester (CAPE) in vitro and a murine model of Oral candidiasis. Front. Cell. Infect. Microbiol. 11:700305. doi: 10.3389/fcimb.2021.700305
de Jong, A. W., van Veldhuizen, D., Groot, A. T., and Hagen, F. (2022). Standardized methods to rear high-quality Galleria mellonella larvae for the study of fungal pathogens. Entomol. Exp. Appl. 170, 1073–1080. doi: 10.1111/eea.13237
Eisenman, H. C., Duong, R., Chan, H., Tsue, R., and McClelland, E. E. (2014). Reduced virulence of melanized Cryptococcus neoformans in Galleria mellonella. Virulence 5, 611–618. doi: 10.4161/VIRU.29234
Figueiredo-Godoi, L. M. A., Menezes, R. T., Carvalho, J. S., Garcia, M. T., Segundo, A. G., Jorge, A. O. C., et al. (2019). Exploring the Galleria mellonella model to study antifungal photodynamic therapy. Photodiagn. Photodyn. Ther. 27, 66–73. doi: 10.1016/j.pdpdt.2019.05.010
Firacative, C., Khan, A., Duan, S., Ferreira-Paim, K., Leemon, D., and Meyer, W. (2020). Rearing and maintenance of Galleria mellonella and its application to study fungal virulence. J. Fungi 6:130. doi: 10.3390/jof6030130
Gallorini, M., Marinacci, B., Pellegrini, B., Cataldi, A., Dindo, M. L., Carradori, S., et al. (2024). Immunophenotyping of hemocytes from infected Galleria mellonella larvae as an innovative tool for immune profiling, infection studies and drug screening. Sci. Rep. 14, 759–711. doi: 10.1038/s41598-024-51316-z
Giammarino, A., Bellucci, N., and Angiolella, L. (2024). Galleria mellonella as a model for the study of fungal pathogens: advantages and disadvantages. Pathogens 13:233. doi: 10.3390/pathogens13030233
Guerrieri, C. G., Pereira, M. F., Galdino, A. C. M., Santos, A. L. S. D., Elias, W. P., Schuenck, R. P., et al. (2019). Typical and atypical Enteroaggregative Escherichia coli are both virulent in the Galleria mellonella model. Front. Microbiol. 10:1791. doi: 10.3389/fmicb.2019.01791
Guevara, M. A., Francis, J. D., Lu, J., Manning, S. D., Doster, R. S., Moore, R. E., et al. (2022). Streptococcus agalactiae cadD is critical for pathogenesis in the invertebrate Galleria mellonella model. ACS Infect. Dis. 8, 2405–2412. doi: 10.1021/acsinfecdis.2c00453
Hickin, M., Nadel, H., Schal, C., and Cohen, A. C. (2021). Optimization of a diet for the greater wax moth (Lepidoptera: Pyralidae) using full factorial and mixture design. J. Econ. Entomol. 114, 1091–1103. doi: 10.1093/jee/toab039
Jin, J. H., Lee, K. T., Hong, J., Lee, D., Jang, E. H., Kim, J. Y., et al. (2020). Genome-wide functional analysis of phosphatases in the pathogenic fungus Cryptococcus neoformans. Nat. Commun. 11, 1–17. doi: 10.1038/s41467-020-18028-0
Jorjão, A. L., de Oliveira, F. E., Leão, M. V. P., Jorge, A. O. C., and de Oliveira, L. D. (2018a). Effect of Lactobacillus rhamnosus on the response of Galleria mellonella against Staphylococcus aureus and Escherichia coli infections. Arch. Microbiol. 200, 383–389. doi: 10.1007/s00203-017-1441-7
Jorjão, A. L., Oliveira, L. D., Scorzoni, L., Figueiredo-Godoi, L. M. A., Cristina, A. P. M., Jorge, A. O. C., et al. (2018b). From moths to caterpillars: ideal conditions for Galleria mellonella rearing for in vivo microbiological studies. Virulence 9, 383–389. doi: 10.1080/21505594.2017.1397871
Jothi, R., and Gowrishankar, S. (2024). Synergistic anti-virulence efficacy of citral and carvacrol against mixed vaginitis causing Candida albicans and Gardnerella vaginalis: an in vitro and in vivo study. J. Antibiot. 77, 436–453. doi: 10.1038/s41429-024-00728-0
Kwadha, C. A., Ong’amo, G. O., Ndegwa, P. N., Raina, S. K., and Fombong, A. T. (2017). The biology and control of the greater wax moth, Galleria mellonella. Insects 8:61. doi: 10.3390/insects8020061
Leuko, S., and Raivio, T. L. (2012). Mutations that impact the Enteropathogenic Escherichia coli Cpx envelope stress response attenuate virulence in Galleria mellonella. Infect. Immun. 80, 3077–3085. doi: 10.1128/IAI.00081-12
Loh, J. M., Adenwalla, N., Wiles, S., and Proft, T. (2013). Galleria mellonella larvae as an infection model for group a streptococcus. Virulence 4, 419–428. doi: 10.4161/viru.24930
Lyu, Y., Yang, X., Goswami, S., Gorityala, B. K., Idowu, T., Domalaon, R., et al. (2017). Amphiphilic tobramycin-lysine conjugates sensitize multidrug resistant gram-negative Bacteria to rifampicin and minocycline. J. Med. Chem. 60, 3684–3702.
Meccatti, V. M., Figueiredo-Godoi, L. M. A., Pereira, T. C., de Lima, P. M. N., Abu Hasna, A., Senna, L. B., et al. (2022). The biocompatibility and antifungal effect of Rosmarinus officinalis against Candida albicans in galleria mellonella model. Sci. Rep. 12, 1–8. doi: 10.1038/s41598-022-19425-9
Mowlds, P., and Kavanagh, K. (2008). Effect of pre-incubation temperature on susceptibility of Galleria mellonella larvae to infection by Candida albicans. Mycopathologia 165, 5–12. doi: 10.1007/s11046-007-9069-9
Mukherjee, K., Domann, E., and Hain, T. (2011). The greater wax moth Galleria mellonella as an alternative model host for human pathogens. In: Insect Biotechnology. ed. A. Vilcinskas. Biologically-Inspired Systems, 2, Dordrecht: Springer.
Mukherjee, P., Roy, S., Ghosh, D., and Nandi, S. K. (2022). Role of animal models in biomedical research: a review. Lab. Anim. Res. 38:18. doi: 10.1186/s42826-022-00128-1
Mylonakis, E. (2008). Galleria mellonella and the study of fungal pathogenesis: making the case for another genetically tractable model host. Mycopathologia 165, 1–3. doi: 10.1007/s11046-007-9082-z
Mylonakis, E., Moreno, R., El Khoury, J. B., Idnurm, A., Heitman, J., Calderwood, S. B., et al. (2005). Galleria mellonella as a model system to study Cryptococcus neoformans pathogenesis. Infect. Immun. 73, 3842–3850. doi: 10.1128/IAI.73.7.3842-3850.2005
Pereira, M. F., and Rossi, C. C. (2020). Overview of rearing and testing conditions and a guide for optimizing Galleria mellonella breeding and use in the laboratory for scientific purposes. APMIS 128, 607–620. doi: 10.1111/apm.13082
Pereira, M. F., Rossi, C. C., da Silva, G. C., Rosa, J. N., and Bazzolli, D. M. S. (2020). Galleria mellonella as an infection model: an in-depth look at why it works and practical considerations for successful application. Pathog. Dis. 78:ftaa056. doi: 10.1093/femspd/ftaa056
Ramalho, S. R., de Cássia Orlandi Sardi, J., Júnior, E. C., Marchetto, R., Wender, H., Vargas, L. F. P., et al. (2022). The synthetic antimicrobial peptide IKR18 displays anti-infectious properties in Galleria mellonella in vivo model. Biochim. Biophys. Acta Gen. Subj. 1866:130244. doi: 10.1016/j.bbagen.2022.130244
Ribeiro, F. C., de Barros, P. P., Rossoni, R. D., Junqueira, J. C., and Jorge, A. O. C. (2017). Lactobacillus rhamnosus inhibits Candida albicans virulence factors in vitro and modulates immune system in Galleria mellonella. J. Appl. Microbiol. 122, 201–211. doi: 10.1111/jam.13324
Rossoni, R. D., De Barros, P. P., Lopes, L. A. D. C., Ribeiro, F. C., Nakatsuka, T., Kasaba, H., et al. (2019). Effects of surface pre-reacted glass-ionomer (S-PRG) eluate on Candida spp.: antifungal activity, anti-biofilm properties, and protective effects on Galleria mellonella against C. albicans infection. Biofouling 35, 997–1006. doi: 10.1080/08927014.2019.1686485
Rossoni, R. D., Fuchs, B. B., De Barros, P. P., Dos Santos Velloso, M., Jorge, A. O. C., Junqueira, J. C., et al. (2017). Lactobacillus paracasei modulates the immune system of Galleria mellonella and protects against Candida albicans infection. PLoS One 12:e0173332. doi: 10.1371/JOURNAL.PONE.0173332
Roversi, P. F., Cosi, E., and Irdani, T. (2008). Chill sensitivity and cryopreservation of eggs of the greater wax moth Galleria mellonella (Lepidoptera: Pyralidae). Cryobiology 56, 1–7. doi: 10.1016/j.cryobiol.2007.09.002
Sheehan, G., Konings, M., Lim, W., Fahal, A., Kavanagh, K., and van de Sande, W. W. J. (2020). Proteomic analysis of the processes leading to Madurella mycetomatis grain formation in Galleria mellonella larvae. PLoS Negl. Trop. Dis. 14:e0008190. doi: 10.1371/journal.pntd.0008190
Stairs, G. R. (1978). Effects of a wide range of temperatures on the development of Galleria mellonella and its specific Baculovirus. Environ. Entomol. 7, 297–299. doi: 10.1093/ee/7.2.297
Ten, K. E., Muzahid, N. H., Rahman, S., and Tan, H. S. (2023). Use of the waxworm Galleria mellonella larvae as an infection model to study Acinetobacter baumannii. PLoS One 18:e0283960. doi: 10.1371/JOURNAL.PONE.0283960
Tsai, C. J. Y., Loh, J. M. S., and Proft, T. (2016). Galleria mellonella infection models for the study of bacterial diseases and for antimicrobial drug testing. Virulence 7, 214–229. doi: 10.1080/21505594.2015.1135289
Wang, S., Yin, Y., Zai, X., Gu, Y., Guo, F., Shao, F., et al. (2023). A novel Galleria mellonella experimental model for zoonotic pathogen Brucella. Virulence 14:2268496. doi: 10.1080/21505594.2023.2268496
Wrońska, A. K., Kaczmarek, A., Sobich, J., and Boguś, M. I. (2024). The effect of infection with the entomopathogenic fungus Conidiobolus coronatus (Entomopthorales) on eighteen cytokine-like proteins in Galleria mellonella (Lepidoptera) larvae. Front. Immunol. 15:1385863. doi: 10.3389/FIMMU.2024.1385863
Yadav, S., and Kaushik, H. D. (2017). “Diseases and enemies of honeybees” in Industrial entomology. ed. Omkar. (Singapore: Springer Singapore), 67–108.
Yu, H., Xu, Y., Imani, S., Zhao, Z., Ullah, S., and Wang, Q. (2024). Navigating ESKAPE pathogens: considerations and caveats for animal infection models development. ACS Infect. Dis. 10, 2336–2355. doi: 10.1021/acsinfecdis.4c00007
Keywords: Galleria mellonella , colony cultivation, incubation, breeding, egg activation
Citation: Carmo PHF, de Lima PMN, Silva FA, Ribeiro JL, Junqueira JC and Garcia MT (2025) Impact of egg incubation on hemocyte recruitment and susceptibility of Galleria mellonella larvae to pathogens. Front. Microbiol. 16:1611104. doi: 10.3389/fmicb.2025.1611104
Edited by:
Axel Cloeckaert, Institut National de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE), FranceReviewed by:
Maria Ligia Rodrigues Macedo, Federal University of Mato Grosso do Sul, BrazilSalvatore Walter Papasergi, National Research Council (CNR), Italy
Copyright © 2025 Carmo, de Lima, Silva, Ribeiro, Junqueira and Garcia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Maíra Terra Garcia, bWFpcmEuZ2FyY2lhQHVuZXNwLmJy
†These authors have contributed equally to this work and share first authorship