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Article

Dietary Supplementation with Rhodotorula mucilaginosa Enhances Resistance to Aeromonas veronii Infection in Red Claw Crayfish (Cherax quadricarinatus)

1
Guangxi Key Laboratory for Polysaccharide Materials and Modifications, School of Marine Sciences and Biotechnology, Guangxi Marine Microbial Resources Industrialization Engineering Technology Research Center, Guangxi Minzu University, 158 University Road, Nanning 530008, China
2
Guangxi Key Laboratory for Aquatic Genetic Breeding and Healthy Aquaculture, Guangxi Academy of Fishery Sciences, 8 Qingshan Road, Nanning 530021, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2025, 15(13), 1912; https://doi.org/10.3390/ani15131912
Submission received: 27 May 2025 / Revised: 26 June 2025 / Accepted: 27 June 2025 / Published: 28 June 2025
(This article belongs to the Topic Advances in Infectious and Parasitic Diseases of Animals)

Simple Summary

In aquaculture, red claw crayfish (Cherax quadricarinatus) often die from Aeromonas veronii infection, leading to economic losses. This study aimed to find out whether adding different amounts of Rhodotorula mucilaginosa (0 g/kg, 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg) to their diet could help them fight off A. veronii infections. The experiment first involved feeding crayfish these different diets for 56 days, followed by exposing them to A. veronii for 7 days. The results show that crayfish fed diets with 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg of R. mucilaginosa had lower death rates. With this amount, the crayfish showed increased activity of several enzymes important for the immune system. Some key immune-related genes also became more active, while enzymes indicating liver damage decreased. In conclusion, R. mucilaginosa can significantly boost crayfish’s ability to resist A. veronii. Based on this experiment, adding 1.0 g/kg of R. mucilaginosa to the feed is the optimal choice.

Abstract

The objective of this study was to evaluate the effects of dietary supplementation with different levels of Rhodotorula mucilaginosa (0.0 g/kg, 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg) on resistance to Aeromonas veronii infection in red claw crayfish (Cherax quadricarinatus) (initial body weight of 0.13 ± 0.06 g). The investigation combined a 56-day feeding trial with a subsequent 7-day infection challenge to assess cumulative mortality, immune and antioxidant enzyme activities, and the relative expression of immune-related genes. During the A. veronii infection test, the cumulative mortalities for the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups were 44.44%, 38.89%, and 38.89%, respectively, all significantly lower (p < 0.05) than that of the control group (58.33%). Compared with the control group, after infection with A. veronii, the activities of acid phosphatase, alkaline phosphatase, catalase, and superoxide dismutase in the hepatopancreas and alkaline phosphatase, lysozyme in the hemolymph of red claw crayfish in the 1.0 g/kg group significantly increased (p < 0.05). The activities of aspartate aminotransferase and alanine aminotransferase in the hemolymph of red claw crayfish in the 1.0 g/kg group significantly decreased (p < 0.05). The relative expression levels of serine protease inhibitor, crustacean hyperglycemic hormone, anti-lipopolysaccharide factor, and superoxide dismutase genes in the hepatopancreas of red claw crayfish in the 1.0 g/kg group were significantly upregulated (p < 0.05). In conclusion, R. mucilaginosa could significantly improve the antibacterial ability of red claw crayfish against A. veronii. In this experimental context, the ideal addition level of R. mucilaginosa is determined to be 1.0 g/kg.

1. Introduction

The red claw crayfish (Cherax quadricarinatus) stands as one of the most globally prominent freshwater crustacean species in aquaculture, having secured its indispensable industrial status through a combination of advantageous traits. These include rapid growth rates, succulent flesh quality, and remarkable environmental resilience [1]. However, the progressive intensification of stocking densities and expansion of production scales have rendered red claw crayfish increasingly susceptible to diverse pathogenic incursions, thereby exacerbating the risks of disease transmission [2]. Notably, within high-density recirculating aquaculture systems, Aeromonas infections exhibit profoundly efficient transmission dynamics [3]. Aeromonas veronii, a Gram-negative facultative anaerobic bacterium distinguished by its remarkable environmental tenacity and disseminating capability, demonstrates robust proliferation under intensive aquacultural conditions, and this pathogen inflicts severe pathological sequelae through hepatopancreatic dysfunction and intestinal epithelial disruption in red claw crayfish [4].
A. veronii functions not only as a primary aquatic pathogen but also as an emerging zoonotic agent capable of inducing gastroenteritis and septicemia in humans, thereby posing dual menaces to public health and sustainable aquacultural development [5,6]. While conventional antibiotic therapies afford immediate disease control, their prolonged utilization harbors risks of fostering antimicrobial resistance and contaminating aquatic products, significantly impeding industry sustainability [7]. This scenario has thrust probiotics into a position of prominence as environmentally benign alternatives [8]. Empirical evidence demonstrates that probiotics augment red claw crayfish growth performance and disease resistance via multifaceted mechanisms that include pathogen growth inhibition, nutrient assimilation enhancement, gut microbiota modulation, and immune system potentiation [8].
Rhodotorula mucilaginosa, a burgeoning probiotic candidate, has attracted substantial interest owing to its rich repertoire of bioactive constituents that include carotenoids, polyunsaturated fatty acids, and functional enzymes [9]. R. mucilaginosa synthesized carotenoids, such as β-carotene and torularhodin, exhibit potent antioxidant properties and effectively scavenge reactive oxygen species to mitigate oxidative stress [10]. Additionally, its polyunsaturated fatty acids possess immunomodulatory attributes that enhance anti-inflammatory responses [11]. Study has confirmed that dietary supplementation with the R. mucilaginosa strain in Pacific white shrimp (Penaeus vannamei) significantly elevates growth parameters, immune indices, and resistance against Vibrio parahaemolyticus [12]. Notwithstanding these advancements, substantial knowledge gaps persist regarding the optimal dosage, mechanistic pathways, and context-dependent efficacy of R. mucilaginosa against A. veronii in red claw crayfish aquaculture systems. This study aims to systematically characterize the protective effects of R. mucilaginosa against A. veronii infection in red claw crayfish and thereby furnish a scientific basis for sustainable cultivation protocols.

2. Materials and Methods

2.1. Experimental Diets

The freeze-dried powder of R. mucilaginosa, supplied by Guangzhou Xinhaili Biotechnology Co., Ltd. (Guangzhou, China), contained over 1 × 1010 cells per gram. The nutritional profile of R. mucilaginosa (based on the wet weight) was as follows: 81.17% moisture, 9.27% crude protein, 4.45% crude lipid, 4.2% total triglycerides, 1.3% β-glucan, 1.4 mg/kg β-carotene, 1.0 mg/kg astaxanthin, and 172 mg/kg vitamin E. R. mucilaginosa was stored at −20 °C in a refrigerator.
The safety assessment of R. mucilaginosa was conducted following the methodology of Kang et al. [13]. Healthy juvenile crayfish (purchased from the South Propagation Base of Guangxi Academy of Fishery Sciences, Nanning, China; initial body weight: 1.10 ± 0.09 g and initial body length: 3.08 ± 0.12 cm) were randomly allocated into two groups (treatment and control), each with three replicates. A total of six aquaculture tanks (0.6 m × 0.6 m × 0.6 m) were used, with ten crayfish per tank. Water parameters were maintained as follows: water temperature of 26–28 °C, dissolved oxygen of 4.7–6.2 mg/L, ammonia nitrogen of 0–0.25 ppm, nitrite of 0–0.01 ppm, nitrate of 0–10 ppm, pH 7.6–7.8, and a natural photoperiod (10 h light:14 h dark). In the treatment group, R. mucilaginosa was added to maintain a concentration of 1 × 108 CFU/mL in the aquaculture water, whereas the control group received no bacterial supplementation. Daily management included renewing one-third of the water volume, removing bottom feces, replenishing 1 × 108 CFU/mL R. mucilaginosa (treatment group), and providing a basal diet. Juvenile crayfish were observed for 7 days to monitor feeding behavior and survival, with daily records of survival counts. By the end of the cultivation period, all red claw crayfish exhibited optimal growth and vitality, with no significant reduction in feeding activity. Both groups achieved a 100% survival rate.
All feed materials were of animal food grade and manufactured by Guangdong Hengxing Feed Industry Co., Ltd. (Zhanjiang, China). Fishmeal (Peruvian type, protein ≥ 65%) and soybean meal (protein ≥ 46%) were used as primary protein sources. Based on previous research [14] and safety assessment results (1 × 108 CFU/mL), experimental diets were formulated with varying concentrations of R. mucilaginosa. To prepare the feed with 35.20% crude protein and 7.84% crude lipids, specific amounts of freeze-dried R. mucilaginosa powder were incorporated into the basal feed and mixed thoroughly to achieve final concentrations of 0 g/kg, 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg. First, the basal feed was ground to a 60-mesh particle size using a hammer mill. Subsequently, the designated concentrations of R. mucilaginosa were added to the ground basal feed, and all mixtures were homogenized for 15 min in a drum mixer. Sterile distilled water was then added at a 40% (w/w) ratio to form a dough-like consistency. The moistened mixtures were extruded through a pellet mill to produce pellets with diameters of 1.00–1.50 mm. The feed pellets were air-dried at 30 °C until their moisture content dropped below 10 g/100 g. The dried pellets were then sealed in airtight bags and stored at −20 °C for later use. Fresh feed was prepared weekly. The specific ingredients of the experimental diets are listed in Table 1.
The viable count of R. mucilaginosa in feed was evaluated by plate counting [15]. A stock solution was prepared by vortexing 1 g of feed sample in 9 mL sterile normal saline. Serial dilutions (103–108) were made from the stock solution. For each dilution, 0.1 mL was plated onto sterile nutrient agar plates in triplicate. Plates were incubated anaerobically at 35 °C for 48 h. After incubation, colonies were counted, and random colonies were selected for identification to confirm R. mucilaginosa purity. The number of R. mucilaginosa colonies per plate was calculated. Post-counting, additional colonies were randomly chosen for strain identification and isolation. The calculation formula is as follows:
T h e   n u m b e r   o f   v i a b l e   R .   m u c i l a g i n o s a = B × C 10 × f
In the above formula, B represents the total number of colonies on nutrient agar plates, C denotes the number of R. mucilaginosa colonies identified from 10 randomly selected colonies, and f signifies the dilution factor.
According to the NA plate counting results, no viable R. mucilaginosa was detected in the control group diet. Conversely, the viable counts of R. mucilaginosa in the experimental diets supplemented with 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg were 0.89 × 106 CFU/g, 0.87 × 107 CFU/g, and 0.92 × 108 CFU/g, respectively.

2.2. Experimental Animals and Feeding Management

The red claw crayfish utilized in the experiment were obtained from the South Propagation Base of the Guangxi Academy of Fishery Sciences, located in Nanning, China. The initial body weight was 0.13 ± 0.06 g, and the initial body length was 0.58 ± 0.02 cm. Prior to the culture experiment, the crayfish were acclimated in the laboratory’s water recirculation system for 7 days. After acclimation, juveniles with a uniform body morphology, no limb abnormalities, a healthy appearance, and strong vitality, as well as in the intermolt stage, were selected for the experiment.
The experiment was designed with the following four groups based on dietary R. mucilaginosa concentrations: a control group (0 g/kg), a low-dose group (0.1 g/kg), a medium-dose group (1.0 g/kg), and a high-dose group (10.0 g/kg). Each group had three replicates, resulting in a total of 12 aquaculture tanks. Each tank contained 50 crayfish, yielding a total of 600 crayfish across all tanks. The experimental rearing tanks measured 1 m × 2 m × 1 m (length × width × height) with a water depth of 0.70 m. Each tank was equipped with 16 PVC pipes (diameter: 0.75 m and length: 0.40 m) as shelters. Aeration stones provided continuous aeration, while aquatic plants were introduced to simulate a natural ecological environment, thereby reducing stress responses and increasing dissolved oxygen levels for the crayfish. Environmental conditions were strictly regulated, as follows: water temperature of 26–28 °C, dissolved oxygen of 4.7–6.2 mg/L, ammonia nitrogen of 0–0.25 ppm, nitrite of 0–0.01 ppm, nitrate of 0–10 ppm, pH 7.6–7.8, and a natural photoperiod (10 h light:14 h dark).
During the formal rearing period, the growth status of each crayfish in every tank was monitored and recorded before each feeding, and mortality events were documented. The daily feeding amount was 5% of the crayfish’s body weight, adjusted according to the actual feeding behavior. Feedings occurred twice daily at 08:30 and 18:30, with each feeding consisting of two rounds separated by a 30 min interval. Every morning after feeding, crayfish excrement was promptly removed, and one-third of the water volume in the tanks was exchanged. The breeding trial lasted for 56 days.
After the official aquaculture period had concluded, a 7-day challenge experiment with A. veronii was conducted immediately. Thirty red claw crayfish were arbitrarily chosen from each group (with 10 red claw crayfish selected from each aquaculture tank), resulting in a total of 120 red claw crayfish. Previous experiments had established that the median lethal concentration (LC50) of A. veronii infecting red claw crayfish was 1.5 × 107 CFU/mL. The crayfish were then injected with a PBS suspension of A. veronii at this LC50 concentration into the second abdominal limb segment, with an injection volume of 0.1 mL. Following the injection, the challenged crayfish were returned to their designated rearing tanks according to the pre-established groups and cultured for 7 days, during which they were provided with a basic diet. Mortality was documented daily, and the cumulative mortality was then determined. The calculation of the mortality was based on the following formula:
C u m u l a t i v e   m o r t a l i t y = N u m b e r   o f   d e a d   c r a y f i s h I n i t i a l   n u m b e r   o f   c r a y f i s h × 100 %
Simultaneously with the cumulative mortality experiment, 60 red claw crayfish were randomly selected from each group (20 per aquaculture tank), resulting in a total of 240 crayfish. A uniform concentration of A. veronii (1.5 × 107 CFU/mL) was injected into the second abdominal limb segment of each crayfish. At 0 h, 24 h, 48 h, 72 h, and 96 h post-injection, three red claw crayfish were sampled from each tank using the method described in Section 2.3.

2.3. Sampling

A 1 mL disposable syringe was used to withdraw 300 μL of pre-cooled anticoagulant, which was then injected into the hemocoel at the base of the crayfish’s first abdominal segment for hemolymph collection. After needle withdrawal, the collected hemolymph was carefully transferred to a 1.5 mL Eppendorf tube. The sample was centrifuged at 1000× g for 10 min at 4 °C. The resulting supernatant was then carefully aspirated and transferred to a fresh Eppendorf tube for storage at −80 °C. Subsequently, the crayfish were transferred to a clean bench. Under sterile conditions, the red claw crayfish were carefully dissected, and the hepatopancreas was excised, immediately frozen in liquid nitrogen, and stored at −80 °C.

2.4. Determination of Biochemical Parameters and Antioxidant Enzyme Activities

To measure the biochemical parameters and antioxidant enzyme activities in the hepatopancreas of red claw crayfish, the samples were first thawed. They were rinsed with sterile saline and dried using filter paper. Next, 1 g of hepatopancreas tissue was precisely weighed and transferred into a 50 mL sterile, enzyme-free centrifuge tube. Nine volumes of physiological saline were added to the tube. The sample was then mechanically homogenized on ice and centrifuged at 1000 g for 10 min at 4 °C. The resulting supernatant was collected and diluted with physiological saline to prepare a 1% homogenate for analysis. The biochemical indices of hemolymph were directly detected using the hemolymph supernatant stored at −80 °C after centrifugation.
The contents of total protein (TP) and lysozyme (LZM) and the activities of alkaline phosphatase (AKP), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) in the hemolymph, as well as the activities of AKP, acid phosphatase (ACP), superoxide dismutase (SOD), and catalase (CAT) in the hepatopancreas, were measured using an ELISA analyzer (RT-6100, Rayto, Shenzhen, China) and assay kits. The measurements followed the instructions provided by Nanjing Jiancheng Bioengineering Institute (Nanjing, China). Detailed protocols can be accessed at http://www.njjcbio.com/ (accessed on 8 March 2025).
The TP content in the hemolymph was quantified using the BCA microplate method. The LZM content in the hemolymph was measured by turbidimetry. The AKP activity in the hemolymph was assessed via a micro-enzyme-linked immunosorbent assay. One unit of AKP activity was defined as the amount of enzyme that produces 1 mg of phenol from the substrate in 15 min at 37 °C, using 100 mL of hemolymph, equivalent to 1 King unit per gram of protein (King unit/gprot). The activities of AST (U/L) and ALT (U/L) in the hemolymph were also determined using the microplate method. The activities of AKP and ACP in the hepatopancreas were measured using a micro-enzyme-linked immunosorbent assay. The enzyme activities are expressed in King units per gram of protein (King unit/gprot). One King unit of AKP is defined as the amount of enzyme that produces 1 mg of phenol from the substrate in 15 min at 37 °C, while one King unit of ACP is defined as the amount of enzyme that produces 1 mg of phenol from the substrate in 30 min at 37 °C. The activity of SOD in the hepatopancreas was measured using the WST-1 method. One unit of SOD activity (U/mgprot) was defined as the amount of enzyme required to achieve 50% inhibition of superoxide radicals in a 1 mL reaction mixture containing 1 mg of tissue protein. The CAT activity in the hepatopancreas was determined by the ammonium molybdate method. One unit of CAT activity (U/mgprot) was defined as the amount of enzyme that decomposes 1 μmol of H2O2 per second per milligram of tissue protein.

2.5. Determination of Relative Expression Levels of Genes

According to the methods of Zhang et al. [16], the real-time quantitative polymerase chain reaction (RT-qPCR) was employed to determine the relative expression levels of serine protease inhibitor (spi), crustacean hyperglycemic hormone (chh), anti-lipopolysaccharide factor (alf), superoxide dismutase (sod), and β-actin in the hepatopancreas of red claw crayfish. β-actin was selected as the non-regulated internal reference gene. The forward and reverse primers for RT-qPCR were designed using Primer Premier 6.0 software, based on the mRNA sequences of red claw crayfish retrieved from the NCBI database. The synthesis of these primers was carried out by Shanghai Sangon Bioengineering Technology Co., Ltd. (Shanghai, China). For more detailed information regarding the primers, please refer to Table 2.
The brief steps of the RT-qPCR method are as follows: the hepatopancreas tissue of red claw crayfish was homogenized with sterile physiological saline at a 1:10 (w/v) ratio and centrifuged at 1000× g for 10 min at 4 °C to obtain the supernatant for RNA extraction. Total RNA was extracted using the Takara MiniBEST Universal RNA Extraction Kit (Takara Biomedical Technology, Beijing, China), with the concentration and purity measured by a NanoDrop-2000 spectrophotometer (Thermo Fisher Scientific, Waltham, Massachusetts, USA). RNA samples meeting the quality criteria (30–1000 ng/μL concentration and A260/A280 ratio of 1.9–2.1) were subjected to integrity verification through 1% agarose TAE gel electrophoresis using GelRed™ nucleic acid stain (UVP, Upland, CA, USA), where intact RNA displayed three distinct bands (28S, 18S, and 5S) with the 28S band intensity being more than twice that of 18S. cDNA was synthesized from 1000 ng total RNA using PrimeScript™ RT Master Mix (Takara) in a 20 μL reaction system containing 10 μL 2× Taqman PCR mix, 1 μL each of forward and reverse primers, RNA template, and DEPC-treated ddH2O, under the following thermal conditions: 30 °C for 10 min, 42 °C for 15 min, 95 °C for 5 min, and 5 °C for 5 min. RT-qPCR was performed using the Q2000B Real-Time PCR System (LongGene) with TB Green® Premix Ex Taq™ II (Tli RNaseH Plus, Takara) in a 20 μL reaction volume containing 2 μL cDNA, 10 μL 2× TB Green Premix, 6.4 μL DEPC water, and 0.8 μL each of forward and reverse primers. The RT-qPCR protocol consisted of initial denaturation at 95 °C for 30 s, followed by 40 cycles of 95 °C for 5 s and 60 °C for 20 s. All procedures were carried out under RNase-free conditions to ensure RNA integrity throughout the experimental process.

2.6. Data Calculation and Statistics Analysis

In this study, all data were initially organized and processed using Microsoft Excel 2016. Subsequently, one-way ANOVA was performed using SPSS Statistics 25.0 to analyze the experimental results, followed by the generation of relevant graphical representations. Data normality was assessed using a normality test. For analyses involving two distinct categorical independent variables, two-way analysis of variance (ANOVA) or two-way repeated measures ANOVA was applied, followed by Tukey’s post hoc test or Bonferroni’s correction for multiple comparisons to determine significant differences among group means. The Shapiro–Wilk test was used to confirm the normality of the data distribution, while Levene’s test was employed to evaluate the homogeneity of variances. To identify significant intergroup differences, the least significant difference (LSD) test was utilized. GraphPad Prism 9 was utilized for generating the charts. The results of the significance tests are presented as “mean ± standard deviation” (mean ± SD). Different letters denote statistically significant differences (p < 0.05) among groups. Additionally, the relative expression levels of the spi, chh, alf, and sod genes from fluorescence quantification analysis were calculated using the 2−ΔΔCT method [17].

3. Results

3.1. Effects of Rhodotorula mucilaginosa on the Cumulative Mortality of Red Claw Crayfish Infected with Aeromonas veronii

The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of the homogeneity of variance across groups was satisfied (F = 0.604, p = 0.921), fulfilling a key prerequisite for analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 23.254, p < 0.001, η2 = 0.522) and treatment durations (F = 78.71, p < 0.001, η2 = 0.896) had highly significant main effects on the cumulative mortality rate of red clawed crayfish. However, the interaction between these two factors was not statistically significant (F = 1.147, p = 0.328). The model demonstrated strong explanatory power (R2 = 0.866), indicating that variations in the mortality rate were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 3 and Table 4.
After the injection of A. veronii, the mortality rate of the red clawed crayfish in each group kept increasing. Specifically, mortality ceased at 120 h post-injection for the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg treatment groups, whereas it stopped at 144 h for the control group. Throughout the challenge test period, the cumulative mortalities of the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg treatment groups were 44.44%, 38.89%, and 38.89%, respectively, which are significantly lower than that of the control group (58.33%) (p < 0.05), as shown in Figure 1.

3.2. Effects of Rhodotorula mucilaginosa on the Antioxidant and Immune Enzyme Activities in the Hemolymph and Hepatopancreas of Red Claw Crayfish Infected with Aeromonas veronii

The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of the homogeneity of variance across groups was satisfied (F = 0.517, p = 0.891), fulfilling a key prerequisite for analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 104.497, p < 0.001, η2 = 0.887) and treatment durations (F = 47.097, p < 0.001, η2 = 0.825) had highly significant main effects on the ACP activity of red clawed crayfish. However, the interaction between these two factors was not statistically significant (F = 1.281, p = 0.267). The model demonstrated strong explanatory power (R2 = 0.894), indicating that variations in ACP activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 5 and Table 6.
Compared with the 0 h time point, infection with A. veronii significantly increased the activity of ACP in the hepatopancreas of red claw crayfish at specific time points across different R. mucilaginosa dosage groups. In the 0 g/kg and 10.0 g/kg groups, the ACP activity was significantly increased at 24 h and 48 h (p < 0.05), with the 0 g/kg group showing 28.4% and 20.1% increases at 24 h and 48 h respectively, while the 10.0 g/kg group exhibited 28.9% and 24.8% increases at the corresponding time points. In the 0.1 g/kg group, the ACP activity significantly increased by 21.0% at 24 h (p < 0.05). In the 1.0 g/kg group, the ACP activity showed significant increases of 21.6%, 15.9%, and 8.6% at 24 h, 48 h, and 72 h, respectively (p < 0.05). Compared with the 0 g/kg group, after infection with A. veronii, the activity of the ACP in the hepatopancreas of red claw crayfish significantly increased at the 0 h time point in the 0.1 g/kg and 1.0 g/kg groups (p < 0.05), with enhancements of 21.0% and 34.3%, respectively. At the 24 h and 96 h time points, the ACP activity significantly increased in the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups (p < 0.05), with the 0.1 g/kg group showing 12.9% and 19.5% increases, the 1.0 g/kg group demonstrating 28.0% and 38.7% increases, and the 10.0 g/kg group exhibiting 16.8% and 18.3% increases at these time points, respectively. At the 48 h time point, the ACP activity significantly increased by 30.8% and 21.1% in the 1.0 g/kg and 10.0 g/kg groups, respectively (p < 0.05). At the 72 h time point, the ACP activity significantly increased by 31.7% in the 1.0 g/kg group (p < 0.05), shown in Figure 2.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of the homogeneity of variance across groups was satisfied (F = 0.584, p = 0.872), fulfilling a key prerequisite for analysis of variance. Two-factor ANOVA revealed that R. mucilaginosa concentrations (F = 107.574, p < 0.001, η2 = 0.890), treatment durations (F = 147.687, p < 0.001, η2 = 0.937), and R. mucilaginosa concentrations × treatment durations (F = 4.663, p < 0.001, η2 = 0.583) had highly significant main effects on the AKP activity of red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.942), indicating that variations in the AKP activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, shown in Table 7 and Table 8.
Compared with the 0 h time point, infection with A. veronii significantly increased the activity of AKP in the hepatopancreas of red claw crayfish at specific time points across different R. mucilaginosa dosage groups. In the 0 g/kg and 0.1 g/kg groups, the AKP activity significantly increased at 24 h, 48 h, and 72 h (p < 0.05), with the 0 g/kg group showing increases of 32.0%, 26.2%, and 20.3%, while the 0.1 g/kg group exhibited increases of 51.9%, 45.8%, and 38.6% at these time points, respectively. In the 1.0 g/kg and 10.0 g/kg groups, the AKP activity significantly increased at 24 h, 48 h, 72 h, and 96 h (p < 0.05), with the 1.0 g/kg group demonstrating increases of 42.5%, 41.8%, 37.2%, and 17.2%, while the 10.0 g/kg group showed increases of 50.7%, 47.2%, 40.7%, and 20.9% at these time points, respectively. Compared with the 0 g/kg group, after infection with A. veronii, the activity of the AKP in the hepatopancreas of red claw crayfish significantly increased by 24.9% at the 0 h time point in the 1.0 g/kg group (p < 0.05). At the 24 h, 48 h, and 72 h time points, the AKP activity significantly increased in the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups (p < 0.05), with increases of 28.5%, 36.4%, and 32.5% at 24 h; 25.8%, 40.8%, and 33.3% at 48 h; and 22.2%, 40.8%, and 30.7% at 72 h, respectively. At the 96 h time point, the AKP activity significantly increased by 34.2% and 22.2% in the 1.0 g/kg and 10.0 g/kg groups, respectively (p < 0.05), as shown in Figure 3.
The homogeneity of the variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of the variance across groups was satisfied (F = 0.448, p = 0.949), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 38.065, p < 0.001, η2 = 0.741) and treatment durations (F = 70.594, p < 0.001, η2 = 0.876) had highly significant main effects on the CAT activity of red clawed crayfish. However, the interaction between these two factors was not statistically significant (F = 0.995, p = 0.471). The model demonstrated strong explanatory power (R2 = 0.868), indicating that the variations in the CAT activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 9 and Table 10.
Compared with the 0 h time point, infection with A. veronii significantly increased the activity of CAT in the hepatopancreas of red claw crayfish at specific time points across different R. mucilaginosa dosage groups. In the 0 g/kg and 0.1 g/kg groups, CAT activity was significantly increased at 24 h and 48 h (p < 0.05), with the 0 g/kg group showing 55.6% and 46.9% increases and the 0.1 g/kg group exhibiting 55.2% and 52.9% increases at these time points, respectively. In the 1.0 g/kg and 10.0 g/kg groups, the CAT activity significantly increased at 24 h, 48 h, and 72 h (p < 0.05), with the 1.0 g/kg group demonstrating increases of 47.8%, 40.0%, and 24.6%, while the 10.0 g/kg group showed increases of 51.3%, 41.8%, and 21.8% at these time points, respectively. Compared with the 0 g/kg group, after infection with A. veronii, the activity of CAT in the hepatopancreas of red claw crayfish significantly increased at the 0 h and 48 h time points in the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups (p < 0.05), with increases of 27.6%, 45.9%, and 38.7% at 0 h and 35.7%, 38.9%, and 32.8% at 48 h respectively. At the 24 h, 72 h, and 96 h time points, the CAT activity significantly increased in the 1.0 g/kg and 10.0 g/kg groups (p < 0.05), with increases of 36.5% and 32.9% at 24 h, 45.1% and 35.5% at 72 h, and 38.3% and 32.8% at 96 h, respectively, as shown in Figure 4.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across groups was satisfied (F = 1.042, p = 0.482), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 48.854, p < 0.001, η2 = 0.786) and treatment durations (F = 368.024, p < 0.001, η2 = 0.974) had highly significant main effects on the SOD activity of red clawed crayfish. The interaction between these two factors was significant (F = 2.536, p = 0.014, η2 = 0.432). The model demonstrated strong explanatory power (R2 = 0.965), indicating that the variations in SOD activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 11 and Table 12.
Compared with the 0 h time point, infection with A. veronii significantly increased the activity of SOD in the hepatopancreas of red claw crayfish at specific time points across different R. mucilaginosa dosage groups. In the 0 g/kg, 0.1 g/kg, and 1.0 g/kg groups, the SOD activity significantly increased at 24 h, 48 h, 72 h, and 96 h (p < 0.05), with the 0 g/kg group showing increases of 45.1%, 30.0%, 27.7%, and 17.3%, the 0.1 g/kg group exhibiting increases of 38.5%, 22.3%, 23.2%, and 11.0%, and the 1.0 g/kg group demonstrating increases of 38.2%, 24.0%, 22.0%, and 17.4% at these time points, respectively. In the 10.0 g/kg group, the SOD activity was significantly increased at 24 h, 48 h, and 72 h (p < 0.05), with increases of 35.1%, 18.0%, and 10.6%, respectively. Compared with the 0 g/kg group, after infection with A. veronii, the activity of SOD in the hepatopancreas of red claw crayfish significantly increased at the 0 h, 24 h, 48 h, and 96 h time points in the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups (p < 0.05), with increases of 14.7%, 19.1%, and 19.0% at 0 h; 4.3%, 8.9%, and 4.2% at 24 h; 5.2%, 12.1%, and 5.1% at 48 h; and 8.2%, 19.3%, and 7.5% at 96 h, respectively. At the 72 h time point, the SOD activity significantly increased by 9.5% and 12.8% in the 0.1 g/kg and 1.0 g/kg groups, respectively (p < 0.05), as shown in Figure 5.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across groups was satisfied (F = 0.613, p = 0.822), fulfilling a key prerequisite for the analysis of variance. The two-factor ANOVA revealed that R. mucilaginosa concentrations (F = 200.358, p < 0.001, η2 = 0.938), treatment durations (F = 458.341, p < 0.001, η2 = 0.979), and R. mucilaginosa concentrations × treatment durations (F = 10.695, p < 0.001, η2 = 0.762) had highly significant main effects on the TP content of the red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.977), indicating that variations in the TP content were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 13 and Table 14.
Compared with the 0 h time point, A. veronii infection resulted in a significant decrease (10.1%) in hemolymph TP content at 96 h in the 0.1 g/kg group (p < 0.05). The 1.0 g/kg group showed significant increases in the TP content of 17.1% at 24 h and 12.9% at 48 h post-infection (p < 0.05). In the 10.0 g/kg group, the TP content was significantly elevated by 16.7% at 24 h (p < 0.05). The treatment groups exhibited significantly elevated TP content relative to the 0 g/kg control at multiple post-infection time intervals, with the 0.1, 1.0, and 10.0 g/kg groups showing increases of 9.9%, 14.5%, and 9.2% at 0 h, 10.1%, 26.2%, and 15.5% at 48 h and 15.9%, 26.2%, and 17.0% at 72 h, respectively (p < 0.05), while the 1.0 and 10.0 g/kg groups maintained significantly higher levels at 24 h (24.2% and 19.2%) and 96 h (14.0% and 10.1%) (p < 0.05), as shown in Figure 6.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across groups was satisfied (F = 0.678, p = 0.795), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that R. mucilaginosa concentrations (F = 2017.012, p < 0.001, η2 = 0.993), treatment durations (F = 788.309, p < 0.001, η2 = 0.987), and R. mucilaginosa concentrations × treatment durations (F = 90.450, p < 0.001, η2 = 0.964) had highly significant main effects on the AKP activity of red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.974), indicating that variations in the AKP activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, shown in Table 15 and Table 16.
A comparative analysis revealed that A. veronii infection induced significant temporal increases in hemolymph AKP activity across R. mucilaginosa dosage groups (Figure 7). The 0 g/kg group showed 16.4%, 11.5%, and 5.0% elevations at 24 h, 48 h, and 72 h, respectively (p < 0.05). More pronounced enhancements were observed in the supplemented groups, as follows: 0.1 g/kg (29.9%, 27.6%, 22.1%, 17.9%), 1.0 g/kg (50.7%, 44.8%, 43.4%, 38.0%), and 10.0 g/kg (41.2%, 36.8%, 30.3%, 24.0%) at corresponding time points (24–96 h) (p < 0.05). Compared with the 0 g/kg group, after infection with A. veronii, the activity of the AKP in the hemolymph of red claw crayfish significantly increased at the 0 h, 24 h, 48 h, 72 h, and 96 h time points in the 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups (p < 0.05), with enhancements of 8.3%, 15.4%, and 9.5% at 0 h; 23.1%, 50.1%, and 36.4% at 24 h; 25.1%, 47.2%, and 40.0% at 48 h; 24.8%, 49.6%, and 33.6% at 72 h; and 23.2%, 46.4%, and 29.8% at 96 h, respectively, as shown in Figure 7.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 0.491, p = 0.907), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 52.406, p < 0.001, η2 = 0.979) and treatment durations (F = 155.019, p < 0.001, η2 = 0.939) had highly significant main effects on the LZM activity of red clawed crayfish. The interaction between these two factors was significant (F = 3.353, p = 0.002, η2 = 0.501). The model demonstrated strong explanatory power (R2 = 0.931), indicating that variations in the LZM activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 17 and Table 18.
Compared with the 0 h time point, infection with A. veronii significantly increased the activity of the LZM in the hemolymph of red claw crayfish at specific time points across different R. mucilaginosa dosage groups. In the 0 g/kg, 1.0 g/kg, and 10.0 g/kg groups, the LZM activity significantly increased at 24 h, 48 h, and 72 h (p < 0.05), with the activity in the 0 g/kg group being enhanced by 36.8%, 31.0%, and 21.2% at the three time points, the 1.0 g/kg group by 23.4%, 19.4%, and 11.6%, and the 10.0 g/kg group by 27.7%, 22.7%, and 8.3%, respectively. In the 0.1 g/kg group, the LZM activity significantly increased at 24 h, 48 h, 72 h, and 96 h (p < 0.05), with elevations of 33.7%, 29.2%, 25.8%, and 21.8%, respectively. Compared with the 0 g/kg group, after infection with A. veronii, the activity of the LZM in the hemolymph of red claw crayfish significantly increased at the 0 h and 24 h time points in the 1.0 g/kg and 10.0 g/kg groups (p < 0.05), showing enhancements of 25.0% and 19.2% at 0 h and 9.0% and 7.6% at 24 h, respectively. At the 48 h time point, the LZM activity significantly increased by 12.4% in the 1.0 g/kg group (p < 0.05). At the 72 h time point, the LZM activity significantly increased in the 0.1 g/kg (10.9%) and 1.0 g/kg (15.8%) groups (p < 0.05). At the 96 h time point, the LZM activity was significantly increased in the 0.1 g/kg (19.0%), 1.0 g/kg (21.9%), and 10.0 g/kg (16.1%) groups (p < 0.05), as shown in Figure 8.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 0.752, p = 0.720), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 53.786, p < 0.001, η2 = 0.801) and treatment durations (F = 60.722, p < 0.001, η2 = 0.859) had highly significant main effects on the AST activity of red clawed crayfish. The interaction between these two factors was significant (F = 2.160, p = 0.034, η2 = 0.393). The model demonstrated strong explanatory power (R2 = 0.875), indicating that variations in the AST activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 19 and Table 20.
Relative to the baseline measurements at 0 h, the hemolymph AST activity in red claw crayfish exhibited significant elevation at designated intervals following A. veronii infection, with variations observed among distinct dosage cohorts of R. mucilaginosa supplementation. Within the 0 g/kg group, enzymatic activity demonstrated statistically substantial rises (p < 0.05) of 43.5%, 32.0%, 28.0%, and 28.4% at 24 h, 48 h, 72 h, and 96 h post-infection respectively. The experimental groups receiving 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg dosages displayed marked AST activation (p < 0.05) during the 24 h, 48 h, and 72 h examinations, with the 0.1 g/kg cohort showing increments of 53.0%, 47.6%, and 41.7% and the 1.0 g/kg group demonstrating 61.9%, 50.5%, and 30.7% enhancements; while the 10.0 g/kg supplementation yielded 60.2%, 52.8%, and 37.0% augmented activity at corresponding timepoints. When benchmarked against the untreated control, A.-veronii-challenged crayfish administered with 0.1 g/kg, 1.0 g/kg, or 10.0 g/kg R. mucilaginosa manifested statistically significant suppression (p < 0.05) of hemolymph AST levels at 0 h (52.3%, 116.3%, and 79.0% reduction, respectively), 48 h (17.4%, 57.6%, and 24.3%), 72 h (23.3%, 108.0%, and 56.4%), and 96 h (126.4%, 232.8%, and 185.1%), indicating dose-dependent modulation of enzymatic response. Notably, a singular 45.7% diminution (p < 0.05) was recorded exclusively in the 1.0 g/kg treatment group at 24 h, as visually documented in Figure 9.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of the homogeneity of variance across groups was satisfied (F = 0.718, p = 0.765), fulfilling a key prerequisite for analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 69.984, p < 0.001, η2 = 0.840) and treatment durations (F = 32.677, p < 0.001, η2 = 0.766) had highly significant main effects on the ALT activity of red clawed crayfish. However, the interaction between these two factors was not statistically significant (F = 1.933, p = 0.059). The model demonstrated strong explanatory power (R2 = 0.854), indicating that variations in the ALT activity were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 21 and Table 22.
Relative to the baseline measurements at 0 h, A. veronii infection induced a statistically significant reduction (p < 0.05) in hemolymph ALT activity by 21.8% at 96 h in the 0 g/kg group. Conversely, the 0.1 g/kg R. mucilaginosa supplementation group exhibited marked declines (p < 0.05) in the enzymatic activity—31.0%, 15.5%, and 11.8%—at 24 h, 48 h, and 72 h post-infection, respectively. In the 1.0 g/kg group, the ALT activity was significantly increased by 25.5% at 24 h (p < 0.05). The highest dosage group (10.0 g/kg) demonstrated significant attenuation (p < 0.05) of ALT activity, with reductions of 26.3% and 19.6% recorded at 24 h and 48 h, respectively. When benchmarked against the untreated control, A.-veronii-infected crayfish receiving R. mucilaginosa exhibited dose-dependent suppression (p < 0.05) of ALT activity at 0 h (45.8%, 77.4%, and 56.9% reductions for 0.1 g/kg, 1.0 g/kg, and 10.0 g/kg groups), 48 h (16.0%, 41.3%, and 18.9%), 72 h (15.4%, 36.6%, and 28.6%), and 96 h (28.5%, 48.6%, and 39.8%), underscoring the probiotic’s regulatory effects across multiple temporal phases. Notably, at 24 h post-infection, the 1.0 g/kg and 10.0 g/kg groups displayed further ALT inhibition (p < 0.05) by 39.5% and 22.1%, respectively, as illustrated in Figure 10.

3.3. Effects of Rhodotorula mucilaginosa on the Relative Expression Levels of Antioxidant- and Immune-Related Genes in the Hepatopancreas of Red Claw Crayfish Infected with Aeromonas veronii

The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 1.326, p = 0.329), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that R. mucilaginosa concentrations (F = 153.178, p < 0.001, η2 = 0.920), treatment durations (F = 36.672, p < 0.001, η2 = 0.986), and R. mucilaginosa concentrations × treatment durations (F = 6.184, p < 0.001, η2 = 0.650) had highly significant main effects on the spi gene expression of red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.918), indicating that variations in spi gene expression were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 23 and Table 24.
Relative to the baseline levels at 0 h, A. veronii challenge induced statistically significant upregulation (p < 0.05) of hepatopancreatic spi gene expression across all supplemented groups (0.1, 1.0, and 10.0 g/kg R. mucilaginosa), with the 0.1 g/kg cohort exhibiting increases of 50.2%, 38.6%, and 40.9% and the 1.0 g/kg group demonstrating 50.9%, 31.2%, and 43.5% elevations; while the 10.0 g/kg group showed more moderate upregulations of 34.2%, 25.2%, and 34.3% at 24 h, 48 h, and 72 h, respectively. When compared with untreated controls, the 1.0 g/kg supplementation group displayed particularly pronounced transcriptional activation (p < 0.05) of the spi gene following A. veronii infection, with expression levels augmented by 36.8% and 51.1% at the initial (0 h) and terminal (96 h) observation periods, respectively. The 24 h post-infection interval revealed striking upregulation (p < 0.05) in both the 0.1 g/kg (52.4% increase) and 1.0 g/kg (68.4% increase) treatment groups, indicating particularly robust early-phase genetic responses in these cohorts. Subsequent examinations at 48 h and 72 h documented sustained transcriptional enhancement (p < 0.05) across all experimental groups, with 48 h measurements showing 33.6%, 61.2%, and 29.1% increases for 0.1, 1.0, and 10.0 g/kg doses, respectively, while 72 h analyses revealed further upregulation of 45.2%, 62.5%, and 37.5% in corresponding treatment groups, as visually summarized in Figure 11.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 0.645, p = 0.825), fulfilling a key prerequisite for analysis of variance. Two-factor ANOVA revealed that both the R. mucilaginosa concentrations (F = 63.661, p < 0.001, η2 = 0.827) and treatment durations (F = 24.067, p < 0.001, η2 = 0.706) had highly significant main effects on the sod gene expression of red clawed crayfish. The interaction between these two factors was significant (F = 3.380, p = 0.002, η2 = 0.504). The model demonstrated strong explanatory power (R2 = 0.840), indicating that variations in the sod gene expression were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 25 and Table 26.
Relative to the baseline measurements at 0 h, A. veronii infection induced statistically significant upregulation (p < 0.05) of the hepatopancreatic sod gene expression in both the 0.1 g/kg (23.6%, 20.0%, and 13.5% increases) and 10.0 g/kg (28.0%, 22.9%, and 21.9% increases) treatment groups at 24 h, 48 h, and 72 h post-infection, respectively, demonstrating dose-dependent transcriptional activation patterns. The 1.0 g/kg supplementation group exhibited prolonged upregulation (p < 0.05) of the sod expression, with elevations of 31.1% at 24 h, 23.6% at 48 h, 18.3% at 72 h, and 12.1% at 96 h, indicating sustained oxidative stress response throughout the experimental period. When benchmarked against untreated controls, all R.-mucilaginosa-supplemented groups showed significant enhancement (p < 0.05) in sod expression following A. veronii challenge, as follows: at 24 h (22.2%, 41.0%, and 23.5% for 0.1, 1.0, and 10.0 g/kg, respectively), 48 h (18.6%, 34.4%, and 18.1%), and 72 h (12.7%, 30.4%, and 17.7%), with the 1.0 g/kg dose consistently eliciting the most pronounced transcriptional response across these timepoints. A late-stage upregulation (p < 0.05) of 24.9% was uniquely observed in the 1.0 g/kg group at 96 h, suggesting prolonged antioxidant system activation at this optimal probiotic concentration, as visually documented in Figure 12.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 0.692, p = 0.781), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that R. mucilaginosa concentrations (F = 76.809, p < 0.001, η2 = 0.852), treatment durations (F = 82.211, p < 0.001, η2 = 0.892), and R. mucilaginosa concentrations × treatment durations (F = 12.943, p < 0.001, η2 = 0.795) had highly significant main effects on the chh gene expression of red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.922), indicating that variations in the chh gene expression were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 27 and Table 28.
Relative to the baseline levels at 0 h, A. veronii infection induced statistically significant upregulation (p < 0.05) of the hepatopancreatic chh gene expression in the 0.1 g/kg group, with increases of 34.2% at 24 h and 26.0% at 48 h post-infection, demonstrating early-phase endocrine response modulation. The 1.0 g/kg supplementation cohort exhibited pronounced chh transcriptional activation (p < 0.05), showing 44.0% elevation at 24 h followed by progressive decreases to 22.5% at 48 h and 8.7% at 72 h, indicating dose-dependent temporal expression patterns. The high-dose (10.0 g/kg) group displayed sustained chh upregulation (p < 0.05) with 34.9%, 24.9%, and 14.5% increases at 24 h, 72 h, and 96 h, respectively, revealing prolonged endocrine system stimulation at elevated probiotic concentrations. When compared with the untreated controls, the 1.0 g/kg group demonstrated significant chh enhancement (p < 0.05) at baseline (0 h, 11.2%) and later stages (72 h, 18.9%; 96 h, 17.6%), suggesting this intermediate dosage optimally primes and maintains crustacean hyperglycemic hormone production. Comparative analysis revealed consistent chh upregulation (p < 0.05) across all supplemented groups during peak response periods, as follows: at 24 h (33.3%, 50.3%, and 35.1% for 0.1, 1.0, and 10.0 g/kg, respectively) and 48 h (25.1%, 31.2%, and 25.2%), with the 1.0 g/kg dose eliciting the maximal transcriptional response, as visually documented in Figure 13.
The homogeneity of variance test (Brown–Forsythe test) indicated that the assumption of homogeneity of variance across the groups was satisfied (F = 0.664, p = 0.806), fulfilling a key prerequisite for the analysis of variance. Two-factor ANOVA revealed that the R. mucilaginosa concentrations (F = 148.873, p < 0.001, η2 = 0.918), treatment durations (F = 137.888, p < 0.001, η2 = 0.932), and R. mucilaginosa concentrations × treatment durations (F = 24.759, p < 0.001, η2 = 0.881) had highly significant main effects on the alf gene expression of red clawed crayfish. The model demonstrated strong explanatory power (R2 = 0.956), indicating that variations in the alf gene expression were primarily independently influenced by R. mucilaginosa concentrations and treatment durations, as shown in Table 29 and Table 30.
Relative to the baseline levels at 0 h, A. veronii infection induced significant upregulation (p < 0.05) of the hepatopancreatic alf gene expression in the 0.1 g/kg group, showing progressive increases of 36.6% at 24 h, 22.9% at 48 h, and 15.3% at 72 h post-infection. Both the 1.0 g/kg and 10.0 g/kg groups exhibited marked alf upregulation (p < 0.05) during early infection stages, with the 1.0 g/kg group demonstrating 49.5% and 20.3% increases at 24 h and 48 h, respectively, while the 10.0 g/kg group showed 37.2% and 19.9% elevations at the corresponding timepoints. When compared with the untreated controls, the 1.0 g/kg group displayed significant baseline enhancement (p < 0.05) of the alf expression (17.9% increase at 0 h), suggesting pre-infection priming effects at this optimal dosage. During the peak response periods (24 h and 48 h), all supplemented groups showed significant alf activation (p < 0.05), as follows: at 24 h (40.1%, 58.6%, and 37.9% for 0.1, 1.0, and 10.0 g/kg, respectively) and 48 h (27.1%, 34.5%, and 20.6%), with the 1.0 g/kg dose consistently eliciting maximal response. Late-phase analyses revealed sustained alf upregulation (p < 0.05) in the 0.1 g/kg (19.9% at 72 h; 9.0% at 96 h) and 1.0 g/kg (23.1% at 72 h; 22.0% at 96 h) groups, demonstrating prolonged genetic activation particularly at the intermediate dosage, as illustrated in Figure 14.

4. Discussion

Infectious diseases are the main obstacle to shrimp culture, and infectious diseases caused by Aeromonas cause significant economic losses to the intensive culture of shrimp [18]. This research showed that R. mucilaginosa greatly enhanced the survival rate of red claw crayfish after infection with A. veronii. The enhanced host defense may be attributed to the following two synergistic mechanisms: First, immunostimulation via β-glucans, which directly bind to and activate macrophages, neutrophils, and natural killer (NK) cells, thereby potentiating both cellular and humoral immunity [19]. Second, astaxanthin, a type of ketocarotenoid, provides antioxidant defense by acting as a reducing ketone. It stabilizes reactive oxygen species, such as hydrogen peroxide, hydroxyl radicals, and superoxide anions, by transforming these radicals into stable compounds. In doing so, it effectively halts the chain reactions initiated by free radicals [20]. The finding was consistent with previous study on giant freshwater prawns (Macrobrachium rosenbergii), where the addition of Lactobacillus plantarum improved survival rates when faced with an Aeromonas hydrophila challenge, collectively underscoring the efficacy of microbial-derived immunostimulants in aquaculture [21].
Adding probiotics to the feed can enhance the body’s resistance to pathogenic bacteria, and detecting immune indicators is an important means to evaluate the host’s immune ability [22]. In this study, it was found that after the red claw crayfish added with R. mucilaginosa were infected by A. veronii, the activities of AKP and LZM in the hemolymph and the activities of SOD, CAT, AKP, and ACP in the hepatopancreas increased rapidly in a short amount of time and reached the highest point at 24 h, which is significantly different from the control group. Then, the enzyme activities gradually returned to normal levels, indicating that R. mucilaginosa can quickly mobilize the secretion and synthesis of immune and antioxidant enzymes in the body of red claw crayfish when facing the attack of A. veronii and improve the body’s ability to respond to pathogen attacks. The dynamic changes in these immune indices, which first increase and then decrease, reflect the complex immune regulatory mechanisms during the interaction between the organism and pathogens. In the early stage of A. veronii infection, pathogen-associated molecular patterns (PAMPs) are recognized by pattern recognition receptors (PRRs) in red claw crayfish, rapidly activating the innate immune system [23], and the activities of AKP, ACP, and LZM increase rapidly. Meanwhile, the activities of antioxidant enzymes such as SOD and CAT in the hepatopancreas are significantly enhanced, which can effectively scavenge excessive reactive oxygen species (ROS) induced by pathogen infection and alleviate oxidative stress damage. This is consistent with the mechanism that the organism activates the antioxidant defense system by upregulating the activity of key enzymes (SOD, CAT, GPx, and GST) [24]. As the immune response progresses, the immune regulatory mechanism in red claw crayfish initiates negative feedback regulation to avoid damage to its own tissues caused by excessive immune responses [25]. On the one hand, the excessive production of ROS and immune regulatory factors triggers intracellular antioxidant and anti-inflammatory signaling pathways, inhibiting the continuous expression of immune enzymes and antioxidant enzymes [26]; on the other hand, with the gradual elimination of A. veronii by the organism, the immune pressure decreases, causing the activity of related enzymes to gradually return to normal levels, and the organism re-enters immune homeostasis [27].
This study further demonstrated that during the same experimental period, the R. mucilaginosa groups exhibited significantly elevated activities of key immune-related enzymes—including hepatopancreatic ACP, AKP, CAT, and SOD, as well as hemolymph AKP and LMZ—compared with the control group, with the 1.0 g/kg group showing particularly pronounced enhancements, indicating that R. mucilaginosa effectively augments the innate immune capacity of red claw crayfish through comprehensive modulation of immunoenzymatic systems, an effect likely mediated by bioactive components such as β-glucans and astaxanthin which function dually as pathogen-associated molecular patterns (PAMPs) recognized by host pattern recognition receptors (e.g., Toll-like receptors) to activate downstream innate immune pathways (Toll/IMD) and subsequently upregulate immune enzyme expression [28], while simultaneously serving as immunostimulants that induce controlled reactive oxygen species (ROS) generation leading to compensatory increases in antioxidant enzymes (CAT and SOD) to maintain redox homeostasis, thereby establishing a robust immunophysiological defense network in the crustacean host [29].
This study also revealed that within 24 h following the attack, the activities of ALT and AST in the hemolymph of the four groups of red claw crayfish showed an increase. Subsequently, at the 48 h mark, these activities started to decline, with the enzyme activities slowly returning to normal levels over time. During various stages, the hemolymph of the red claw crayfish in the treatment groups supplemented with R. mucilaginosa showed lower ALT and AST activities compared with the control group. This may be because pathogen infection disrupts the normal tissue structure and function of the hepatopancreas. When the hepatopancreas is damaged, intracellular ALT and AST leak in large quantities into the hemolymph, thereby causing the activity of these two enzymes in the hemolymph to increase [30]. R. mucilaginosa may reduce the degree of hepatopancreas damage and alleviate the stress level in red claw crayfish by activating the immune system, thereby decreasing the activity of ALT and AST in the hemolymph [31].
This study revealed a characteristic dynamic pattern in the hemolymph ALT and AST activities of red claw crayfish following A. veronii infection, exhibiting an increase peaking at 24 h post-infection followed by gradual decline until returning to baseline levels by 96 h, reflecting the typical physiological stress response of crustaceans to pathogenic challenge where early-stage infection (24 h) induces hepatopancreatic tissue damage leading to elevated ALT/AST activities, while subsequent immunological activation (48–96 h) progressively mitigates tissue damage [32]. Notably, the R. mucilaginosa-supplemented groups (particularly the 1.0 g/kg dose) maintained significantly lower ALT/AST activities than controls throughout, attributable to dual protective mechanisms, as follows: (1) yeast-derived β-glucans enhancing hemocyte phagocytic capacity through Toll receptor activation [33], thereby reducing direct hepatopancreatic damage by pathogens, and (2) astaxanthin and other antioxidants alleviating oxidative stress via ROS scavenging [34]. These findings align with Grandiosa et al. [35] report of probiotic-enhanced immunity in Vibrio-splendidus-challenged New Zealand black-footed abalone (Haliotis iris) and Surawut et al. [36] demonstration that a Bacillus subtilis, B. licheniformis, and B. megaterium consortium ameliorated hepatopancreatic necrosis severity in Vibrio-parahaemolyticus-infected whiteleg shrimp by boosting immune responses.
This study further revealed that following the challenge, the expression levels of alf, spi, and chh genes in the hepatopancreas of red claw crayfish, which were supplemented with R. mucilaginosa in the treatment groups, exhibited a temporary increase. These levels showed significant differences compared with those in the control group across various time points. This may be because when the red claw crayfish is stimulated by bacteria, it will promote the expression of alf to produce antibacterial peptides to resist bacterial infection, inhibit the growth and reproduction of bacteria, reduce the damage of bacteria to the body tissues of the shrimp and reduce the severity of infection, thus increasing the survival rate [37]. The up-regulation of chh gene expression may be because the chh gene regulates energy metabolism and can provide energy support for the body to respond to infection [25]. The up-regulation of the spi gene may be because the shrimp body inhibits the protease activity of pathogenic bacteria to prevent the damage of bacteria to the body tissues of the shrimp, thus increasing the survival rate [25]. The up-regulation of sod gene expression in the hepatopancreas of the red claw crayfish may be because the immune response of the red claw crayfish is activated after being infected by A. veronii, and the innate immune system is activated to up-regulate the expression of sod gene to reduce oxidative damage [38].
This study further demonstrated that R. mucilaginosa supplementation significantly potentiated this immune response process, with the 1.0 g/kg group showing marked upregulation in the relative expression levels of immune-related genes spi, chh, sod, and alf, likely attributable to the yeast’s capacity to activate immunocytes and stimulate cytokine production along with other immunomodulatory mediators that regulate gene expression, thereby enhancing the host’s pathogen-responsive capacity [39]. The astaxanthin component of the red yeast may provide additional protection against ROS-induced oxidative damage, preventing the downregulation of antioxidant genes [40] while concurrently stimulating the expression of oxidative damage repair-associated genes. These observations align with previous reports on white shrimp (Penaeus vannamei) [41] and giant tiger prawn (Penaeus monodon) [42]. Wang et al. [43] discovered that R. mucilaginosa can enhance the immune enzyme activity in Atlantic salmon (Salmo salar) following infection by Aeromonas salmonicida, thereby strengthening their immune response. This finding aligns with the outcomes of the current study.

5. Conclusions

In summary, regarding resistance against A. veronii, R. mucilaginosa was able to enhance the antibacterial defenses of red claw crayfish. In this experimental context, the ideal addition level of R. mucilaginosa was determined to be 1.0 g/kg. Future research will refine this dosage by incorporating a narrower gradient (e.g., 0.8 g/kg and 1.2 g/kg) to determine the most effective addition amount for practical application. These findings will provide a solid scientific foundation for developing efficient compound probiotic feed specifically tailored for red claw crayfish.

Author Contributions

Conceptualization, Q.Z. (Qin Zhang), Y.L. and H.Y.; Methodology, Q.Z. (Qin Zhang), L.M., H.L., L.L., Q.Z. (Qinghui Zeng), D.W., R.W., T.T., Y.L. and H.Y.; Investigation, Q.Z. (Qin Zhang),L.M., H.L., L.L., Q.Z. (Qinghui Zeng), D.W., R.W., T.T., Y.L. and H.Y.; Data curation, Q.Z. (Qin Zhang),L.M., Y.L. and H.Y.; Funding acquisition, Y.L. and H.Y.; Writing—original draft preparation, L.M.; Writing—review and editing, Q.Z. (Qin Zhang) and L.M.; Funding acquisition, Q.Z. (Qin Zhang); Supervision, L.M.; Validation, Q.Z. (Qin Zhang), L.M., H.L., L.L., Q.Z. (Qinghui Zeng), D.W., R.W., T.T., Y.L. and H.Y.; Visualization, Q.Z. (Qin Zhang), L.M., H.L., L.L., Q.Z. (Qinghui Zeng), D.W., R.W., T.T., Y.L. and H.Y.; Formal analysis, Q.Z. (Qin Zhang), L.M., Y.L. and H.Y.; Software, L.M.; Project administration, Y.L. and H.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Guangxi Science and Technology Base and Talent Special Project (GuikeAD24010034) and Scientific Research Fund for the Introduction of Excellent Talents in Guangxi University for Nationalities (2018KJQD14).

Institutional Review Board Statement

The animal study protocol was approved by the Ethics Committee of Guangxi Minzu University, Nanning, China (protocol code: GXMZU-2023–018 and approved on 16 May 2023).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author(s) upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. The effects of Rhodotorula mucilaginosa on the cumulative mortality of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3).
Figure 1. The effects of Rhodotorula mucilaginosa on the cumulative mortality of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3).
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Figure 2. The effects of Rhodotorula mucilaginosa on the activity of acid phosphatase (ACP) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 2. The effects of Rhodotorula mucilaginosa on the activity of acid phosphatase (ACP) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 3. The effects of Rhodotorula mucilaginosa on the activity of alkaline phosphatase (AKP) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 3. The effects of Rhodotorula mucilaginosa on the activity of alkaline phosphatase (AKP) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 4. The effects of Rhodotorula mucilaginosa on the activity of catalase (CAT) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 4. The effects of Rhodotorula mucilaginosa on the activity of catalase (CAT) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 5. The effects of Rhodotorula mucilaginosa on the activity of superoxide dismutase (SOD) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 5. The effects of Rhodotorula mucilaginosa on the activity of superoxide dismutase (SOD) in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 6. The effects of Rhodotorula mucilaginosa on the content of total protein (TP) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 6. The effects of Rhodotorula mucilaginosa on the content of total protein (TP) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 7. The effects of Rhodotorula mucilaginosa on the activity of alkaline phosphatase (AKP) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 7. The effects of Rhodotorula mucilaginosa on the activity of alkaline phosphatase (AKP) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
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Figure 8. The effects of Rhodotorula mucilaginosa on the activity of lysozyme (LZM) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All the data are presented as mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 8. The effects of Rhodotorula mucilaginosa on the activity of lysozyme (LZM) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All the data are presented as mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g008
Figure 9. The effects of Rhodotorula mucilaginosa on the activity of aspartate aminotransferase (AST) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 9. The effects of Rhodotorula mucilaginosa on the activity of aspartate aminotransferase (AST) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g009
Figure 10. The effects of Rhodotorula mucilaginosa on the activity of alanine aminotransferase (ALT) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 10. The effects of Rhodotorula mucilaginosa on the activity of alanine aminotransferase (ALT) in the hemolymph of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g010
Figure 11. The effects of Rhodotorula mucilaginosa on the relative expression levels of the serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 11. The effects of Rhodotorula mucilaginosa on the relative expression levels of the serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All the data are presented as mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g011
Figure 12. The effects of Rhodotorula mucilaginosa on the relative expression levels of the superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 12. The effects of Rhodotorula mucilaginosa on the relative expression levels of the superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g012
Figure 13. The effects of Rhodotorula mucilaginosa on the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 13. The effects of Rhodotorula mucilaginosa on the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g013
Figure 14. The effects of Rhodotorula mucilaginosa on the relative expression levels of the anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Figure 14. The effects of Rhodotorula mucilaginosa on the relative expression levels of the anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish infected with Aeromonas veronii. All data are presented as the mean ± SD (n = 3). In the graph, different superscript lowercase letters indicate statistically significant differences (p < 0.05) among the values across the different groups at the same time. Different superscript capital letters indicate statistically significant differences (p < 0.05) among the values across different times within the same group.
Animals 15 01912 g014
Table 1. The composition of the experimental diets for red claw crayfish (g / kg of the dried diet).
Table 1. The composition of the experimental diets for red claw crayfish (g / kg of the dried diet).
IngredientR. mucilaginosa Levels (g/kg)
00.11.010.0
R. mucilaginosa00.101.0010.00
Fish meal485.00485.00485.00485.00
Soybean meal119.30119.20118.30109.30
Sorghum flour106.50106.50106.50106.50
Wheat flour139.00139.00139.00139.00
Corn flour45.0045.0045.0045.00
Soy lecithin10.0010.0010.0010.00
Fish oil15.2015.2015.2015.20
Gelatin20.0020.0020.0020.00
Calcium carbonate10.0010.0010.0010.00
Choline chloride5.005.005.005.00
Mineral premixes a20.0020.0020.0020.00
Vitamin premixes b20.0020.0020.0020.00
Vitamin C c5.005.005.005.00
Proximal composition (% Dry Matter)
Dry material92.5692.5692.5692.56
Ash7.767.767.767.76
Ethereal extract7.407.407.407.40
Crude protein35.2035.2035.2035.20
Crude lipid7.847.847.847.84
Fiber3.433.433.433.43
a Mineral premixes (mg/kg): KCl, 0.5; MgSO4·7H2O, 0.5; ZnSO4·7H2O, 0.09; MnCl2·4H2O, 0.0234; CuSO4·5H2O, 0.005; KI, 0.005; CoCl2·2H2O, 0.0025; Na2HPO4, 2.37. b Vitamin premixes (mg/kg): vitamin B12, 0.02; vitamin A acetate, 5000 IU; vitamin D3, 4000 IU; α-tocopherol acetate, 100 IU; menadione, 5; thiamine HCl, 60; riboflavin, 25; pyridoxine HCl, 50; folic acid, 10; dl-capantothenic acid, 75; nicotinic acid, 5; biotin, 1; inositol, 5. c Vitamin C was provided as ascorbyl phosphate (stabilized form, 35% active ingredient).
Table 2. Primer sequences for RT-qPCR in red claw crayfish.
Table 2. Primer sequences for RT-qPCR in red claw crayfish.
GenePrimer Sequence (5′→3′)Amplicon Size (bp)Tm (°C)Gene Bank
β-Actin  1F: CGCCTGTCCGCTGGAATAAT13560XM_053800817.1
R: ACGATGGAAGGGAAGACAGC
Alp  2F: GGACGCTCTACTGGCATTGTTACC11160XM_053798842.1
R: GTCGTTGATGTCGTCGTCACTCTC
Chh  3F: TCTCCGCTCAGCCCTCTACAATG9160XM_053788088.1
R: AGTGAACGCCCAGAACACACCG
Spi  4F: TGGTCAACGCAGCTTACTTCAAGG14760XM_053782018.1
R: TGGAGTGGACTAGCCTGAGATTGG
Sod  5F: TGACCTCGGTGACGGCTGTAAG9260XM_053774464.1
R: CAGCGTGGCGTTCTAAGTCATAGG
F: forward primer. R: reverse primer. 1 β-Actin: non-regulated reference gene. 2 Spi: serine protease inhibitor. 3 Chh: crustacean hyperglycemic hormone. 4 Alf: anti-lipopolysaccharide factor. 5 Sod: superoxide dismutase.
Table 3. The variance homogeneity test of cumulative mortality of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 3. The variance homogeneity test of cumulative mortality of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.6043135.3890.921
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusts for degrees of freedom.
Table 4. The two-way ANOVA with the Tukey post hoc test of the cumulative mortality of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 4. The two-way ANOVA with the Tukey post hoc test of the cumulative mortality of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations0.31830.10623.2540.0000.522
Treatment durations2.51170.35978.710.0000.896
R. mucilaginosa concentrations × Treatment durations0.11210.0051.1470.3280.273
Error0.292640.005
Total variation3.2395
Note: R2 = 0.866.
Table 5. The variance homogeneity test of acid phosphatase (ACP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 5. The variance homogeneity test of acid phosphatase (ACP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.517198.7020.891
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusts for degrees of freedom.
Table 6. The two-way ANOVA with Tukey post hoc test of the acid phosphatase (ACP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 6. The two-way ANOVA with Tukey post hoc test of the acid phosphatase (ACP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations3544.28431181.428104.4970.0000.887
Treatment durations2129.9054532.47647.0970.0000.825
R. mucilaginosa concentrations × Treatment durations173.7631214.481.2810.2670.278
Error452.2334011.306
Total variation6300.18659
Note: R2 = 0.894.
Table 7. The variance homogeneity test of alkaline phosphatase (AKP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 7. The variance homogeneity test of alkaline phosphatase (AKP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.5841917.6070.872
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusts for degrees of freedom.
Table 8. The two-way ANOVA with Tukey post hoc test of alkaline phosphatase (AKP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 8. The two-way ANOVA with Tukey post hoc test of alkaline phosphatase (AKP) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations1736.3513578.784107.5740.0000.890
Treatment durations3178.4214794.605147.6870.0000.937
R. mucilaginosa concentrations × Treatment durations301.0931225.0914.6630.0000.583
Error215.213405.38
Total variation5431.07859
Note: R2 = 0.942.
Table 9. The variance homogeneity test of catalase (CAT) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 9. The variance homogeneity test of catalase (CAT) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.4481914.6310.949
Note: The variance homogeneity test of the variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 10. The two-way ANOVA with the Tukey post hoc test of the catalase (CAT) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 10. The two-way ANOVA with the Tukey post hoc test of the catalase (CAT) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations656.933218.97738.0650.0000.741
Treatment durations1624.4264406.10670.5940.0000.876
R. mucilaginosa concentrations × Treatment durations68.654125.7210.9950.4710.230
Error230.108405.753
Total variation2580.11859
Note: R2 = 0.868.
Table 11. The variance homogeneity test of superoxide dismutase (SOD) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 11. The variance homogeneity test of superoxide dismutase (SOD) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
1.0421912.8410.482
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 12. The two-way ANOVA with Tukey post hoc test of superoxide dismutase (SOD) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 12. The two-way ANOVA with Tukey post hoc test of superoxide dismutase (SOD) activity in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations772.3353257.44548.8540.0000.786
Treatment durations7757.46641939.366368.0240.0000.974
R. mucilaginosa concentrations × Treatment durations160.3611213.3632.5360.0140.432
Error210.787405.27
Total variation8900.94959
Note: R2 = 0.965.
Table 13. The variance homogeneity test of the total protein (TP) content in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 13. The variance homogeneity test of the total protein (TP) content in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.613198.6010.822
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 14. The two-way ANOVA with Tukey post hoc test of the total protein (TP) content in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 14. The two-way ANOVA with Tukey post hoc test of the total protein (TP) content in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations4654.96631551.655200.3580.0000.938
Treatment durations14,198.31843549.58458.3410.0000.979
R. mucilaginosa concentrations × Treatment durations993.9541282.8310.6950.0000.762
Error309.776407.744
Total variation20,157.01459
Note: R2 = 0.977.
Table 15. The variance homogeneity test of the alkaline phosphatase (AKP) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 15. The variance homogeneity test of the alkaline phosphatase (AKP) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.6781917.860.795
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 16. The two-way ANOVA with Tukey post hoc test of the alkaline phosphatase (AKP) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 16. The two-way ANOVA with Tukey post hoc test of the alkaline phosphatase (AKP) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations2533.8873844.6292017.0120.0000.993
Treatment durations1320.4264330.106788.3090.0000.987
R. mucilaginosa concentrations × Treatment durations454.5141237.87690.4500.0000.964
Error16.75400.419
Total variation4325.57759
Note: R2 = 0.974.
Table 17. The variance homogeneity test of the lysozyme (LZM) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 17. The variance homogeneity test of the lysozyme (LZM) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.491198.6470.907
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 18. The two-way ANOVA with Tukey post hoc test of the lysozyme (LZM) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 18. The two-way ANOVA with Tukey post hoc test of the lysozyme (LZM) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations27,047.63239015.87752.4060.0000.797
Treatment durations106,676.994426,669.248155.0190.0000.939
R. mucilaginosa concentrations × Treatment durations6922.77912576.8983.3530.0020.501
Error6881.52440172.038
Total variation147,528.92959
Note: R2 = 0.931.
Table 19. The variance homogeneity test of the aspartate aminotransferase (AST) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 19. The variance homogeneity test of the aspartate aminotransferase (AST) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.7521912.1970.720
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 20. The two-way ANOVA with Tukey post hoc test of the aspartate aminotransferase (AST) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 20. The two-way ANOVA with Tukey post hoc test of the aspartate aminotransferase (AST) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations27.52439.17553.7860.0000.801
Treatment durations41.432410.35860.7220.0000.859
R. mucilaginosa concentrations × Treatment durations4.422120.3692.160.0340.393
Error6.823400.171
Total variation80.20159
Note: R2 = 0.875.
Table 21. The variance homogeneity test of the alanine aminotransferase (ALT) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 21. The variance homogeneity test of the alanine aminotransferase (ALT) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.7181922.020.765
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 22. The two-way ANOVA with Tukey post hoc test of alanine aminotransferase (ALT) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 22. The two-way ANOVA with Tukey post hoc test of alanine aminotransferase (ALT) activity in the hemolymph of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations2.52130.8469.9840.0000.840
Treatment durations1.5740.39232.6770.0000.766
R. mucilaginosa concentrations × Treatment durations0.278120.0231.9330.0590.367
Error0.48400.012
Total variation4.84959
Note: R2 = 0.854.
Table 23. The variance homogeneity test of relative expression levels of the serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 23. The variance homogeneity test of relative expression levels of the serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
1.3261910.2320.329
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 24. The two-way ANOVA with Tukey post hoc test of the relative expression levels of serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 24. The two-way ANOVA with Tukey post hoc test of the relative expression levels of serine protease inhibitor (spi) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations16.27735.426153.1780.0000.920
Treatment durations5.19641.29936.6720.0000.786
R. mucilaginosa concentrations × Treatment durations2.628120.2196.1840.0000.650
Error1.417400.035
Total variation25.51859
Note: R2 = 0.918.
Table 25. The variance homogeneity test of the relative expression levels of superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 25. The variance homogeneity test of the relative expression levels of superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.6451918.1290.825
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 26. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 26. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the superoxide dismutase (sod) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations1.52630.50963.6610.0000.827
Treatment durations0.76940.19224.0670.0000.706
R. mucilaginosa concentrations × Treatment durations0.324120.0273.380.0020.504
Error0.32400.008
Total variation2.93859
Note: R2 = 0.840.
Table 27. The variance homogeneity test of the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 27. The variance homogeneity test of the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.6921916.5590.781
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 28. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 28. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the crustacean hyperglycemic hormone (chh) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations1.25430.41876.8090.0000.852
Treatment durations1.7940.44782.2110.0000.892
R. mucilaginosa concentrations × Treatment durations0.845120.0712.9430.0000.795
Error0.218400.005
Total variation4.10759
Note: R2 = 0.922.
Table 29. The variance homogeneity test of relative expression levels of anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 29. The variance homogeneity test of relative expression levels of anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Fdf1df2p
0.6641916.9110.806
Note: The variance homogeneity test of variance was assessed using the Brown–Forsythe test, which is based on the median and adjusted for degrees of freedom.
Table 30. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Table 30. The two-way ANOVA with Tukey post hoc test of the relative expression levels of the anti-lipopolysaccharide factor (alf) gene in the hepatopancreas of red claw crayfish across varying Rhodotorula mucilaginosa concentrations and treatment durations.
Source of VariationSSdfMSFpη2
R. mucilaginosa concentrations2.31830.773148.8730.0000.918
Treatment durations2.86340.716137.8880.0000.932
R. mucilaginosa concentrations × Treatment durations1.542120.12924.7590.0000.881
Error0.208400.005
Total variation6.93159
Note: R2 = 0.956.
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MDPI and ACS Style

Zhang, Q.; Meng, L.; Lu, H.; Li, L.; Zeng, Q.; Wang, D.; Wang, R.; Tong, T.; Liu, Y.; Yang, H. Dietary Supplementation with Rhodotorula mucilaginosa Enhances Resistance to Aeromonas veronii Infection in Red Claw Crayfish (Cherax quadricarinatus). Animals 2025, 15, 1912. https://doi.org/10.3390/ani15131912

AMA Style

Zhang Q, Meng L, Lu H, Li L, Zeng Q, Wang D, Wang R, Tong T, Liu Y, Yang H. Dietary Supplementation with Rhodotorula mucilaginosa Enhances Resistance to Aeromonas veronii Infection in Red Claw Crayfish (Cherax quadricarinatus). Animals. 2025; 15(13):1912. https://doi.org/10.3390/ani15131912

Chicago/Turabian Style

Zhang, Qin, Liuqing Meng, Haoliang Lu, Luoqing Li, Qinghui Zeng, Dapeng Wang, Rui Wang, Tong Tong, Yongqiang Liu, and Huizan Yang. 2025. "Dietary Supplementation with Rhodotorula mucilaginosa Enhances Resistance to Aeromonas veronii Infection in Red Claw Crayfish (Cherax quadricarinatus)" Animals 15, no. 13: 1912. https://doi.org/10.3390/ani15131912

APA Style

Zhang, Q., Meng, L., Lu, H., Li, L., Zeng, Q., Wang, D., Wang, R., Tong, T., Liu, Y., & Yang, H. (2025). Dietary Supplementation with Rhodotorula mucilaginosa Enhances Resistance to Aeromonas veronii Infection in Red Claw Crayfish (Cherax quadricarinatus). Animals, 15(13), 1912. https://doi.org/10.3390/ani15131912

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