Dietary restriction reveals sex-specific expression of the mTOR pathway genes in Japanese quails

Limited resources affect an organism’s physiology through the conserved metabolic pathway, the mechanistic target of rapamycin (mTOR). Males and females often react differently to nutritional limitation, but whether it leads to differential mTOR pathway expression remains unknown. Recently, we found that dietary restriction (DR) induced significant changes in the expression of mTOR pathway genes in female Japanese quails (Coturnix japonica). We simultaneously exposed 32 male and female Japanese quails to either 20%, 30%, 40% restriction or ad libitum feeding for 14 days and determined the expression of six key genes of the mTOR pathway in the liver to investigate sex differences in the expression patterns. We found that DR significantly reduced body mass, albeit the effect was milder in males compared to females. We observed sex-specific liver gene expression. DR downregulated mTOR expression more in females than in males. Under moderate DR, ATG9A and RPS6K1 expressions were increased more in males than in females. Like females, body mass in males was correlated positively with mTOR and IGF1, but negatively with ATG9A and RS6K1 expressions. Our findings highlight that sexes may cope with nutritional deficits differently and emphasise the importance of considering sexual differences in studies of dietary restriction.


Experimental animal management
Four weeks old Japanese quail (Coturnix japonica) chicks, containing both sexes, were obtained from a commercial quail breeder (Budai Fürjészet, Hungary) and housed in the Animal House of the Institute of Animal Science, Biotechnology and Nature Conservation of the University of Debrecen (Hungary).Birds were maintained in an experimental house until they reached maturity for an additional 4 weeks before being subjected to the acclimation of experimental conditions.At the age of 8 weeks, 32 male birds with similar body mass were selected for acclimation and assigned to individual cages alongside another 32 female birds from the same batch and reared in the same housing condition 32 .We kept them under ad libitum feed and water for 7 days of acclimation for individual living and the experimental room conditions.The experiment room was maintained under 24 ± 3 °C temperature, 60-75% relative humidity and 12:12 h Light:Dark daily photoperiod cycle.The basal feed for experimental quails was formulated as a breeder quail ration (20% crude protein; 12.13 MJ/kg metabolisable energy) based on corn, soybean, and wheat (Table S1) 34 .

Experimental design
Before the beginning of the experimental treatment, we measured daily feed offered and leftovers of individual birds for 7 days to estimate their daily feed intake.Feed was offered in a 200 g capacity plastic feeder designed to avoid feed spillage.We also measured the live body mass of each bird at the beginning and at the end of the acclimation period to analyse mass change.We aimed to start the experimental treatment once the birds had stopped growing.At the age of 9 weeks, where the experiment started, male and female birds were randomly allocated to four dietary treatments.The birds in each treatment group were provided with 80% (DR20), 70% (DR30), and 60% (DR40) of their average individual feed intake, while the control group was fed ad libitum (ADL).Males and females were kept in the same room and received identical dietary treatments.The average daily feed intake for the ADL, DR20, DR30 and DR40 during the acclimation period is reported in Supplementary Table S2.To control for any potential slight environmental variation of the cages (e.g.due to differences in light intensity), we divided the cages into eight blocks based on their vertical position in the cage system's staircase, and allocated the birds into these blocks.Each block consisted of an equal number of males and females from each treatment group.The experiment, for both male and female groups, was conducted for 14 days on the same

Measurements and sampling
We measured body mass at the beginning of the experiment (day 0) and on day 7 and 14 using a digital balance (± 0.1 g).On day 14 of the experiment, all birds were euthanised by cervical dislocation by professional veterinarians after sedation with midazolam (5 mg/mL, EGIS Pharmaceuticals PLC, Hungary) and immediately dissected for liver tissue sampling, starting 8:00 am in the morning.To minimise the short-term impact of feeding, we conducted measurements and sampling on an empty gut.To achieve this, we removed the feeders from all birds early in the morning (8:00 am) before the automatic lights were turned on.The collected liver tissue samples were placed in a collection tube, rapidly frozen on dry ice, immediately taken to the laboratory, and stored at − 80 °C until further assays.Male and female samples were collected at the same time and were handled in an identical way 32 .

RNA extraction and the real-time quantitative PCR (qPCR)
Total RNA was isolated from the liver tissue using the TRIzol reagent, following the manufacturer's protocol, which included DNase treatment to prevent DNA contamination (Direct-zol™ RNA MiniPrep, Zymo Research Corporation, U.S).Briefly, 25-30 mg of sample was lysed in 600 µL of TRIzol reagent using a D1000 handheld homogeniser (Benchmark Scientific, USA), and then centrifuged at 16,000×g for 30 s at 4 °C to remove debris.The supernatant was then transferred into an RNase-free tube and thoroughly mixed with an equal amount of ethanol (95-100%).The mixture was then transferred into a Zymo-Spin™ IIC column on a collection tube and centrifuged at 16,000×g for 30 s.The flow-through was discarded, and the RNA pellet was washed using 400 µl of RNA wash buffer, repeating the centrifugation step.Next, a DNA digestion step was performed by adding 5 µL of DNase I (6 U/µL) and 75 µL of DNA digestion buffer and incubating at room temperature for 15 min to purify the RNA from DNA.After adding 400 µL of Direct-zol™ RNA PreWash, we centrifuged for 30 s and repeated this step.For the final wash, we added 700 µL of RNA wash buffer and centrifuged for 2 min to ensure the complete removal of the wash buffer.Finally, we collected the purified RNA by adding 50 µL of DNase/ RNase-Free water for further RNA quality and quantity check, and cDNA synthesis.The RNA concentration and purity were assessed using the HTX Synergy Multi-Mode Microplate Reader spectrophotometer (Agilent BioTek, BioTek Instruments Inc, USA).To verify RNA integrity, a 1% agarose gel electrophoresis was performed.
Reverse transcription was performed using the qScript cDNA synthesis kit, following the manufacturer's protocols (Quantabio Reagent Technologies, QIAGEN Beverly Inc., USA) in a PCRmax Alpha Thermal cycler (cole-Parmer Ltd., UK).To synthesise the 20 µL final volume cDNA, we used a reaction mix containing qScript cDNA SuperMix, 200 ng total RNA and RNase/DNase-free water.The thermal cycling during cDNA synthesis was 25 °C for 5 min (priming), 42 °C for 30 min (reverse transcription) and 85 °C for 5 min (reverse transcriptase inactivation).The cDNA samples were diluted tenfold and stored at − 20 °C for Real-time PCR.
To measure mRNA expression, Quantitative real-time PCR (qPCR) was performed using HOT FIREPo EvaGreen qPCR mix Plus (Solis BioDyne, Teaduspargi, Estonia).Intron-spanning gene-specific primer pairs for quails were designed using Oligo7 software and obtained from Integrated DNA Technologies (BVBA-Leuven, Belgium) (see Supplementary Table S3 for sequences of primers).We checked for target identity using Primer-Blast software of the National Centre for Biotechnology Information (NCBI) (http:// www.ncbi.nlm.nih.gov).The qPCR was performed using the following thermal conditions: 95 °C for 12 min (initial activation of the polymerase), 40 cycles of denaturation at 95 °C for 15 s, annealing at 60 °C for 20 s and elongation at 72 °C for 20 s.At the end of each run, the amplification specificity of each product was confirmed by melting curve analysis.Amplification and melting curve analysis (see Supplementary Fig. S1) and monitoring were performed using Agilent AreaMx Real-Time PCR System (Agilent Technologies, USA).
To identify a stable reference gene, we analysed commonly used genes in birds, namely beta-actin (ACTB), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and 18S ribosomal RNA (RN18S).We evaluated their stability and determined the most suitable reference gene, ACTB, by employing NormFinder, BestKeeper, and deltaCt algorithms 35 .The relative expression of mechanistic target of rapamycin (mTOR), ribosomal protein S6 kinase 1 (RPS6K1), autophagy-related 9A (ATG9A), growth hormone receptor (GHR), insulin-like growth factor 1 (IGF1) and its receptor (IGF1R) normalised to Beta-actin (ACTB) as reference gene was calculated using the efficiency corrected method 36,37 .The log of the expression ratio was used for statistical analyses of the relative mRNA expression, hereafter referred to as gene expression.To control for inter-plate variation, we repeated specific samples across plates for calibration.We used liver samples from male and female groups to analyse sex-specific expression.Samples from both sexes and all treatment groups were loaded on the same qPCR plate for each gene.

Statistical analyses
All analyses were performed using R v. 4.2.2 38 .All images are processed using the 'ggplot' function and saved at 300 DPI using the 'ggsave' function, both from 'ggplot2' v.3.4.3 package 39 .We fitted models to analyse our data depending on the data source and relationship of variables.Akaike's information criterion corrected (AICc) 40 was used to choose the best-supported models (Tables S4, S7) and the final models utilised are described as follows.
To analyse the effect of dietary treatment on body mass of males across restriction time, we employed linear mixed-effects models.Here, we considered dietary restriction with four levels, time points with three levels and their interaction as fixed factors, while individual bird identity as random intercept.We included individual bird identity as random factor to control for the effect of repeated measures 41 .We used the function 'lmer' from 'lme4' package 42 1).We calculated mean body mass comparison of male birds among treatment groups within different time points (Table S5) and mean body mass comparison of male birds among time points (Table S6) within each treatment level using the function 'emmeans' with p < 0.05 significance level 44 .We used linear models to analyse the effect of treatments on liver gene expression in male Japanese quails.In this model, the expression of each gene was treated as a response variable, while the dietary treatments served as the explanatory variable.Statistical significance was assessed through one-way ANOVA (Table 3), and the means of the treatment group were computed using the function 'emmeans' with p < 0.05 significance level (Table S9).We performed a principal component analysis (PCA), to reduce the dimensionality of the gene expression data, to transform the original correlated gene expression variables into a set of linearly uncorrelated principal components.This was applied using 'prcomp' function from the 'stats' package 38 .PCA was used to avoid multicollinearity occurring between the predictor variables (gene expressions).We used 'ggbiplot' package 45 to visualise the pattern of the variables (gene expression) against the treatments groups.Furthermore, we used Kaiser's rule to select which PCs to retain for subsequent regression analysis 46 .Finally, the first two components, PC1 and PC2, met the Kaiser's rule and were used in linear regression against body mass (Table S12).
To compute differences between males and females and compare sex-specific responses to dietary restriction, we included previously reported data from a parallel experiment conducted in females, following the same protocols and conditions 32 .Using the male and female data, we employed linear mixed-effect models to analyse the sex-specific effects of dietary restriction on body mass, where sex, dietary treatment, time points and their interactions considered as fixed factors and individual bird identity as random factor.We used three-way ANOVA to analyse statistical significance (Table 2) and 'emmeans' to compute mean body mass of males and females at different dietary restriction levels across the time points (Table S8).We utilised linear models to analyse the sex-specific effects of dietary restriction on liver gene expression.We assessed the significance of the effects of sex, dietary treatment, and their interaction using a twoway ANOVA (Table 4) and means of males and females within treatment groups were computed using 'emmeans' with p < 0.05 significance level (Table S11).The experimental block did not significantly contribute to any of the models; therefore, we removed it from all the final models.

Ethical approval and consent to participate
The experiment was performed following the EU Directive "Legislation for the protection of animals used for scientific purposes" and after approval by the Ethical Committee for Animal Use of the University of Debrecen, Hungary (Protocol No. 5/2021/DEMAB).We confirm that all the methods were carried out in compliance with relevant institutional guidelines and regulations.Our research findings are presented following the ARRIVE guidelines.

Only severe dietary restriction reduces male body mass
The dietary restriction (DR) and its interaction with restriction period (weeks) had a significant effect on body mass in male quails (Table 1).All male quails from restricted groups showed a reduced trend in body mass compared to the quails from ADL group (Fig. 1).However, only quails from DR40 proved a statistically significant reduction in the first and second weeks (week 1: p = 0.02; week 2: p < 0.001; Table S5).When compared to their initial body mass, all male quails from restricted groups showed significantly reduced body mass on both week 1 and week 2, whereas only male quails from DR40 groups showed further mass reduction from week 1 to week 2 (p = 0.050; Table S6).

Figure 1.
The effect of different dietary restriction levels on body mass of male Japanese quails across the twoweek restriction period.Data are represented by the mean ± SEM from 8 birds per group and were analysed using two-way ANOVA from linear mixed effect model.Means followed by common letters within time points are not significantly different at p < 0.05.ADL ad libitum, DR20 20% restriction, DR30 30% restriction, DR40 40% restriction.Initial, day 0; week 1, day 7; week 2, day 14.'ns' , not significant at p < 0.05; '*'significantly different at p < 0.05; '**'significantly different at p < 0.01.www.nature.com/scientificreports/

Dietary restriction exerts sex-specific effect on body mass
Over time, males and females exhibited distinct responses to dietary restriction, as indicated by a significant interaction between sex, treatment, and the restriction period (Table 2).Males showed significantly lower initial body mass than females in all treatment groups, and this difference persisted throughout the experiment in the ADL fed and moderately restricted (DR20) groups (Fig. 2, Table S8).However, the difference in body mass between males and females disappeared by the second week in the DR30 group and by the first week in the DR40 group (Fig. 2, Table S8).www.nature.com/scientificreports/

Dietary restriction affects mTOR signalling genes in the liver of males
The linear model indicated that DR significantly affected the expression of major genes responsible for liver mTOR signalling pathway in males (Table 3).Compared to the ADL group, all restricted groups showed significantly lower expression of hepatic mTOR and IGF1 genes.However, there was no significant variation among the restricted groups on both genes (Fig. 3a,d, Table S9).The expression of IGF1R also decreased with increasing severity of restriction, with the DR40 group showing a significantly lower value (p = 0.009) compared to the ADL group and a marginally lower value (p = 0.074) compared to the DR30 group (Fig. 3e, Table S9).Additionally, DR increased the expression of RPS6K1 and ATG9A genes (Fig. 3b,c, Table S9).In both genes, all the restricted groups showed significantly higher expression than the ADL group, while there was no significant difference among the restricted groups.While ANOVA showed significant treatment effect on GHR expression (Table 3), the pairwise comparisons showed no significant differences among treatment groups (Fig. 3f, Table S9).

Liver mTOR signalling genes showed sex-specific expression intensity
In order to explore how genes respond differently based on sex, we combined gene expression data from both males and females.As a result, the expression levels of the liver mTOR pathway genes showed significant variation between male and female groups in response to varying levels of DR over a period of two weeks (Table 4, Table S10).Females showed higher mTOR expression than the males in the ADL (p = 0.004) and DR20 (p = 0.018) groups, while no significant difference was observed between the sexes in the severely restricted groups (Fig. 4a, Table S11).Females exhibited higher RPS6K1 expression in the ADL fed group (p = 0.080), while lower in the DR20 (p = 0.003) and DR30 (p = 0.087) groups (Fig. 4b, Table S11).ATG9A showed lower expression in females compared to males, with significant differences observed at DR20 (p < 0.005) and DR30 (p < 0.001) groups (Fig. 4c, Table S11).Females showed higher IGF1 expression, with significant value in the ADL (p = 0.003), DR20 (p = 0.024) and DR40 (p < 0.001) groups (Fig. 4d, Table S11).Furthermore, females tended to exhibit higher IGF1R expression than the males at the severely restricted groups (p = 0.048; Fig. 4e, Table S11), while GHR showed no significant variation between the sexes (Fig. 4F, Table S11).

Principal components are associated with variation in body mass
To disentangle the complex interplay of liver gene expression of male quails, we employed principal component analysis (PCA).The PCA indicated that the first two principal components have eigenvalues greater than www.nature.com/scientificreports/ 1 (Table S12) and thus were retained for further regression analysis.These two components explained 69.0% (PC1 = 42.1% and PC2 = 26.9%) of the total variance.The analysis revealed that expression of mTOR, IGF1, RPS6K1 and ATG9A contribute significantly to PC1, influencing variation in different directions, while expression of IGF1R and GHR predominantly shaped PC2 (Table S13).The elliptical biplot indicated a clustering of liver mTOR and IGF1 genes expression around the control treatment, while RPS6K1 and ATG9A genes expression clustered around the groups received restricted treatments, aligning with their positive and negative influences on PC1, respectively (Fig. 5).Finally, we showed that PC1 showed a positive correlation with body mass, indicating a potential link between gene expressions resembling the control treatment and the body mass of quails after 2 weeks of DR.Conversely, PC2 displayed a negative association with body mass, suggesting a contrasting impact associated with gene expressed on the restricted groups (Table 5).

Discussion
Nutritional availability plays a crucial role in shaping an individual's phenotype in response to environmental conditions.The intricate interplay between an organism's genetic makeup and the availability of essential nutrients profoundly influences its overall fitness.This dynamic relationship has the power to modulate gene expression, thereby shaping phenotypic outcomes in various environmental contexts 47,48 .In natural conditions, organisms often face challenges such as food shortages, prompting them to make necessary molecular and physiological adjustments to cope with these adversities.Imbalances in nutrient intake can lead to altered gene expression patterns across various tissues, particularly the liver, thereby contributing to the plasticity of fitness outcomes [49][50][51] .In response to environmental cues, the expression levels of genes contribute to either the upregulation or downregulation of their respective proteins/peptides.Consequently, these proteins/peptides mediate the information received from variations in gene expression to influence fitness plasticity 52,53 .In the face of   www.nature.com/scientificreports/changing dietary conditions, liver signalling pathways undergo substantial alterations in gene expression levels, representing an adaption mechanism 51,54 .These transcriptional changes implicate a broad spectrum of biological processes including nutrient metabolism, protein synthesis and detoxification, thereby governing phenotypic plasticity 51,55 .Notably, nearly every gene involved in the mTOR signalling pathway demonstrates differential expression in the liver, exerting a profound influence on the overall functionality of the organisms.This ensures efficient utilisation of available nutrients 33,56 .
Organisms could show sex-specific responses to nutritional variability because of differences in reproductive investment 1,30 .Previously, in female Japanese quails we found that body mass and expression of genes mediating the mTOR signalling pathway are affected differently at different dietary restriction (DR) levels 32 .In the current study, we used an identical protocol to investigate the effect of different levels of DR on male Japanese quails, expecting a different response between males and females to nutrient availability.We found a significant effect of DR on hepatic gene expression, largely consistent with the picture in females, albeit different in magnitude for certain genes.
Despite a similar trend of change with females in all restricted groups, only the severely restricted (DR40) group showed significantly reduced body mass compared to the control group on both week 1 and week 2 (Fig. 1).The resource allocation strategies of male and female birds are shaped by their different reproductive roles and selective pressures.Female birds typically invest more resources in reproduction than males.In contrast, males usually focus more on attracting mates and competing with other males for access to females 57,58 .Therefore, the observed higher mass loss in females due to dietary restrictions may be due to their substantial investment in egg production, since the birds were laying eggs during our study 32 .The variation could be regulated by the mechanism of expression of genes governing nutrient-sensing pathway.www.nature.com/scientificreports/ The IGF1 and its receptors (IGF1R) are the crucial genes of interest in a nutrient-sensing pathway [59][60][61] .IGF-1 and its receptor, IGF1R, play pivotal roles in growth and development across a wide spectrum of organisms.IGF-1, mainly secreted in the liver, acts as a critical mediator of cell growth, differentiation, and survival.It exerts its effects by binding to its specific receptor, that triggers a cascade of signalling, mainly mTOR pathway, a pathway responsible for cellular proliferation 62,63 .The IGF-1/IGF1R axis also plays a pivotal role in sexual dimorphism, influencing the distinct physiological and morphological differences between males and females upon interaction with sex steroids [64][65][66] .In both sexes, expression of IGF1 and IGF1R genes was reduced in all restriction levels compared to the ADL group (Fig. 4d,e).The trend in IGF1 gene expression across the DR gradients in males mirrors our findings in females, albeit with lower expression levels in male groups.In the case of IGF1R gene expression, the pattern of change is similar in both sexes up to DR30 level, although males showed higher reduction at the severe restriction level (DR40) (Fig. 4e).Although little is known about the sex differences on the impact of DR on IGF1 gene expression, previous studies examining circulating IGF-1 have suggested that both the level and the influence of IGF-1 exhibit sex-based difference in mammals 65 and in birds 64,[67][68][69] .For instance, a study in chickens suggested a strong correlation between the plasma levels of IGF-1 and expression of the IGF1 gene in the liver [70][71][72][73] .Therefore, the evidence indicating sex-specific level of plasma IGF-1 could align with the hepatic gene expression patterns we observed.Reduced IGF1 gene expression due to DR also suggests a corresponding effect on circulating IGF-1 levels 71,72 .Therefore, the current study suggests sex-specific IGF1 gene expression but not treatment-specific differences between females and males.
We also tested the effect of DR on growth hormone receptor (GHR), a receptor protein that binds to the growth hormone to initiate IGF1 expression (Figs. 3, 4, Tables 3, 4).Contrary to findings in mammals and fish, where nutritional deficit reduces GHR expression and produces growth hormone resistance to limit IGF1 expression [74][75][76][77][78] , our results showed that GHR gene expression was significantly upregulated in the severely restricted groups in females while remaining marginal in males.The higher expression in females compared to males in the DR40 group coincided with what we observed in IGF1 expression, where males downregulated IGF1 expression more than did females.Feed restriction also increased GHR expression in chicken 79 .Therefore, the nutritional regulation of the hypothalamo-pituitary-somatotropic axis may be different in birds, which requires further research.
Another gene of interest within the nutrient-sensing pathway is the mTOR, which plays a role in nuclear transcription and lysosomal translation.The impact of DR on the mTOR signalling pathway, a crucial molecular marker in nutrient sensing, was significant.This effect is achieved by modulating the expression of specific genes based on their function 80,81 .The present study in male quails revealed that in comparison to the ADL group, mTOR gene expression was decreased similarly across all restriction levels (Fig. 3a).This pattern is different from that of in females, where the reduction of mTOR expression intensified with increased levels of restriction.Furthermore, while females exhibit significantly higher mTOR expression in the ad libitum-fed and moderately restricted (DR20) groups than males, the difference between the sexes disappeared in the severely restricted (DR30 and DR40) groups (Fig. 4a).This indicates that similar to body mass (Fig. 2), the effect of DR was stronger on female birds than on males, which may be due to physiological, morphological, and hormonal differences and reproduction strategies between the sexes 21,82,83 .The females' need for more food than males to maintain the larger body mass and egg production may force their mTOR expression to respond strongly to restriction.This is evidence to suggest that the mTOR gene expression mediates the effect of DR on body mass.The principal components analysis also provides evidence that mTOR is one of the major contributors to PC1, which positively explains body mass in both males (Fig. 5, Table 5) and females 32 .Notably, the association appears to be stronger in females.
Another gene downstream of mTOR is ATG9A, which initiates the formation of autophagosomes for the degradation of cellular contents in response to nutritional deficiency [83][84][85] .Our finding demonstrated that the expression of the ATG9A gene was upregulated in all the restricted groups compared to the ADL-fed group in both females and males (Fig. 4c), in stark contrast to the effect observed on the mTOR and IGF1 genes.The ATG9A expression level was higher in males in the DR20 and DR30 groups.The effect of DR is consistent with previous studies from other organisms 86,87 .However, the pattern of changes across restriction levels was different: males showed a pronounced increase at all restriction levels, while females showed a significant increase only at the severely restricted level, resulting in significant sex differences in the DR20 and DR30 groups (Fig. 4c).At the expense of anabolic progressions and stress, DR has a critical role in maintaining pathways required to retain cellular function.In conditions of scarce resources, autophagy serves as a cytoprotective mechanism through recycling of damaged organelles and malformed proteins, a process in which cells break down their components to provide energy and nutrients 88,89 .DR upregulates autophagy, one way, through inhibition of mTOR activity that facilitates the nuclear localisation of Transcription Factor EB (TFEB), the ATG transcription factors in the nucleus 90,91 .Accordingly, the lower mTOR expression in both males and females may have a significant contribution to the upregulation of ATG9A expression (Fig. S2).However, the pronounced increase in ATG9A expression, specifically in males, may contribute to the rapid recycling of cytoplasmic waste and supply it as energy and amino acids for other cellular activities.The process could potentially contribute to keep the pace of mTOR expression through a positive feedback mechanism, as we observed sustained expression levels across all restriction groups and relatively lower body mass loss in males.In females, there was a moderate increase in ATG9A expression and a rapid reduction in mTOR.
The other gene of interest we studied is the RPS6K1, a gene situated downstream of mTOR.Our study showed that DR upregulates the expression of RPS6K1 in both males and females (Fig. 4b).The result contradicted our assumption that DR would have a downregulating role.The pattern of increase was more pronounced in males in the DR20 and DR30 groups.Since RPS6K1 plays a critical role in ribosomal translation 92,93 , its gene expression would contribute to maintaining the level of the respective kinase for phosphorylation.This, in turn, would help reduce the loss of body mass that we observed in females but less in males.www.nature.com/scientificreports/ In conclusion, our study revealed that dietary restriction affects body mass and the expression of critical genes governing the mTOR pathway in male Japanese quails.These results corroborate the general gene expression patterns seen in females 32 .However, for the first time in birds, we provide evidence that the fine-scale regulation of the mTOR pathway is sex-specific, as seen in the differential expression of most of the genes studied.Female birds exhibited higher body mass and more intensive mass loss than males and demonstrated intensified reduction in mTOR gene expression with increasing restriction levels.These findings align with females' larger body size and reproductive investment.In contrast, males exhibited a more pronounced upregulation in ATG9A gene expression, potentially aiding their ability to avoid severe body mass loss.This suggests that males may have a higher capacity for cellular waste recycling and energy utilisation under dietary restriction conditions.The anabolic genes of RPS6K1 and GHR showed sex-specifically intensified expression in the restricted groups, contrary to our assumption.These sex-specific responses shed light on the intricate interplay between nutrient availability, gene expression, and body size, highlighting the importance of considering sexual dimorphism in studies of dietary restriction, and animal physiology in general.

Figure 3 .
Figure3.Effects of dietary restriction on expression of genes mediating nutrient availability in male Japanese quails.(a) mTOR, mechanistic target of rapamycin, (b) RPS6K1, ribosomal protein S6 kinase 1, (c) ATG9A, autophagy-related 9A, (d) IGF1, insulin-like growth factor 1, (e) IGF1R, insulin-like growth factor 1 receptor, (f) GHR, growth hormone receptor.Relative mRNA expression is analysed in log of fold change.Data are represented by the mean ± SEM from 8 birds per group.The Tukey test was used as a post hoc test at p < 0.05 significance level.Means followed by a common letter are not significantly different at p < 0.05.ADL ad libitum, DR20 20% restriction, DR30 30% restriction, DR40 40% restriction.

Figure 5 .
Figure 5.A biplot of PCA for the liver gene expression and body mass in Japanese quails treated with different dietary restriction levels for 2 weeks.Clustering is based on dietary restriction levels and a dimensional indication of genes in line with the restriction levels.The ellipsoids are defined by the treatment groups.ADL ad libitum, DR20 20% restriction, DR30 30% restriction, DR40 40% restriction, mTOR mechanistic target of rapamycin, RPS6K1 ribosomal protein S6 kinase 1, ATG9A autophagy-related 9A, IGF1 insulin-like growth factor 1, IGF1R insulin-like growth factor 1 receptor, GHR growth hormone receptor. https://doi.org/10.1038/s41598-024-58487-9

Table
to define both fixed and random effects and estimate model parameters.Additionally, we employed

Table 1 .
ANOVA output of the linear mixed-effect model indicating the effect dietary restriction on body mass across the two-week restriction period of male Japanese quails.K number of parameters, logLik loglikelihood, AICc Akaike's information criterion corrected, LRT likelihood ratio test, Sum sq sum of squares, Mean sq mean squar, NumDF Numerator df, DenDF Denominator df, df degree of freedom.

Table 2 .
Output of three-way ANOVA of the linear mixed-effect model, lmer(body mass ~ treatment × sex × week + (1|birdID)), indicating the effects of dietary restriction on body mass across the 2-week restriction period.K number of parameters, logLik log-likelihood, AICc Akaike's information criterion corrected, LRT likelihood ratio test, Sum sq sum of squares, Mean sq mean squar, NumDF Numerator df, DenDF Denominator df, df degree of freedom.

Table 5 .
Summary of multiple linear regression model to estimate the change in body mass of male Japanese quails with principal components.