Introduction
Dietary restriction (DR) is also called calorie restriction (CR), and refers to a reduction in food intake without malnutrition. According to resource allocation theory, animals face a trade-off between the allocation of resources into reproduction and into individual growth/maintenance1, 2–3. This trade-off is reinforced when food conditions decline4,5. It is well established in gerontological research that many animals increase their lifespan when food is in suboptimal supply for growth or reproduction. It was first noted in the 1930s that food restriction significantly extends the lifespan of rodents6. DR extends lifespan in a remarkable range of organisms, including yeast, rotifers, spiders, worms, fish, mice, and rats7.
Studies on arthropods have demonstrated various effects of fasting and starvation : (1) prolonged developmental periods, reduced survival rates, and impaired fecundity (e.g., smaller offspring and lower egg viability); (2) species-specific starvation tolerance, such as the gradual decline in survival of apple woolly aphids versus precocious pupation in fall webworm larvae under starvation; (3) behavioral adaptations like migration, increased foraging activity, and neural regulation of feeding (e.g., AstA-NPF pathway); (4) contextual benefits, such as enhanced predatory capacity in natural enemies (e.g., Arma chinensis) after short-term fasting, improving biocontrol efficacy. These findings highlight the multifaceted strategies arthropods employ to cope with food scarcity8, 9, 10–11.
Emerging data show that its effect may also apply to non-human primates12. Additionally, DR can decrease the incidence and progression of many age-dependent diseases, including cardiovascular and cerebrovascular systems, cancer, Alzheimer’s disease and diabetes13, 14, 15–16. Dietary restriction can also prevent age-associated declines in psychomotor and spatial memory tasks in humans, as well as the loss of dendritic spines necessary for learning and improves the brain’s plasticity and ability for self-repair17, 18–19. However, beneficial effects in a mouse model for amyotrophic lateral sclerosis were not observed20.
The concept of DR has been expanded from initial calorie restriction (CR) to a wide range of diet-related interventions, including short-term starvation, intermittent fasting, and macronutrient restriction4. Intermittent fasting (IF; diets with reduced meal frequencies such as every-other-day-fasting) can also increase lifespan, even when there is little or no overall decrease in calorie intake9,21. An increasing number of physiological effects of CR and IF that may contribute to their abilities to increase lifespan have been documented in studies on rodents, monkeys, and humans22,23.
In our study, we used a phytoseiid predatory mite—Amblydromalus limonicus (Garman and McGregor)—to study the relationship between one-time (1 day) short-term fasting during early life (STFEL) and lifespan. We hypothesized that STFEL—especially in the facultative feeding larva—could extend the lifespan. This is a topic that has not been previously explored for most model animals. There is also limited information about the relationship between DR and lifespan of A. limonicus, one of the most important biocontrol agents for greenhouse pests24. The species was described in 1956 from citrus in California; its distribution range covers North and South America, Australia and New Zealand. It first caught the attention of biocontrol workers in the 1960s as a natural enemy of the spider mites (e.g. Oligonychus punicae (Hirst)) in avocados and other fruit trees. It is a generalist predatory mite with economic potential to control thrips and whiteflies in protected cultivation24, 25, 26–27. Hence, this species also has great applied importance. As the first systematic exploration of early-life dietary interventions in predatory arthropods, our work lays groundwork for developing physiological enhancement strategies in biocontrol applications.
Results
Immature survival and development
One-day fasting during each developmental stage had no significant impact on immature survival (Table 1). However, fasting for one day during the larval stage extended the larval duration threefold (Fig. 1) and significantly increased its escape rate (Table 2).
Table 1. Survival rates (%) of immature of Amblydromalus limonicus under control and four treatment conditions, which were: Fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Egg | Larva | Protonymph | Deutonymph | Egg to adult | |
---|---|---|---|---|---|
Control | 100.0 (n = 50) | 100.0 (n = 50) | 98.0 ± 2.0 (n = 49) | 91.8 ± 3.9 (n = 45) | 90.0 ± 4.2 (n = 45) |
T1 | 100.0 (n = 50) | 92.0 ± 3.8 (n = 46) | 84.8 ± 5.3 (n = 39) | 87.2 ± 5.3 (n = 34) | 68.0 ± 6.6 (n = 34) |
T2 | 100.0 (n = 50) | 98.0 ± 2.0 (n = 49) | 93.9 ± 3.4 (n = 46) | 84.8 ± 5.3 (n = 39) | 78.0 ± 5.9 (n = 39) |
T3 | 100.0 (n = 50) | 96.0 ± 2.8 (n = 48) | 91.7 ± 4.0 (n = 44) | 90.9 ± 4.3 (n = 40) | 80.0 ± 5.7 (n = 40) |
T4 | 100.0 (n = 50) | 98.0 ± 2.0 (n = 49) | 95.9 ± 2.8 (n = 47) | 87.2 ± 4.9 (n = 41) | 82.0 ± 5.4 (n = 41) |
χ2 | 5.94 | 7.50 | 1.55 | 7.74 | |
df | 4 | 4 | 4 | 4 | |
P | 0.20 | 0.11 | 0.82 | 0.10 |
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Fig. 1
The developmental time (days) of egg, larva, protonymph (N1) and deutonymph (N2) of Amblydromalus limonicus under control and four dietary restriction treatment conditions, which were fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Table 2. Escape rate (%) of A. limonicus under control and four treatment condition.
Egg | larva | Protonymph | Deutonymph | Egg to adult | |
---|---|---|---|---|---|
Control | 0 (n = 50) | 2.0 ± 2.0 (n = 49) | 20.4 ± 5.8 (n = 39) | 17.9 ± 6.1 (n = 32) | 36.0 ± 6.8 (n = 32) |
T1 | 0 (n = 50) | 14.0 ± 4.9 (n = 43) | 2.3 ± 2.3 (n = 42) | 21.4 ± 6.3 (n = 33) | 34.0 ± 6.7 (n = 33) |
T2 | 0 (n = 50) | 0 (n = 50) | 12.0 ± 4.6 (n = 44) | 20.5 ± 6.1 (n = 35) | 30.0 ± 6.5 (n = 35) |
T3 | 0 (n = 50) | 2.0 ± 2.0 (n = 49) | 18.4 ± 5.5 (n = 40) | 17.5 ± 6.1 (n = 33) | 34.0 ± 6.7 (n = 33) |
T4 | 0 (n = 50) | 0 (n = 50) | 10.0 ± 4.2 (n = 45) | 20.0 ± 6.0 (n = 36) | 28.0 ± 6.3 (n = 36) |
χ2 | 20.06 | 8.47 | 0.29 | 0.99 | |
df | 4 | 4 | 4 | 4 | |
P | 0.00 | 0.08 | 0.99 | 0.91 |
Four treatments: Fasting for one day at the start of larva (T1), protonymph (T2), deutonymph (T3) and adult stage (T4).
Adult female reproductive parameters
The duration of the pre-oviposition period was very short (Table 3) and did not differ significantly among treatments (F = 0.546, df = 4, P = 0.703). Similarly, the week-long oviposition period showed no significant differences (F = 0.712, df = 4, P = 0.951). However, fasting of each stage for just one day significantly extended the duration of the post-oviposition period by 3–7 days on average (Table 3); larval fasting extended it (by 63%), which was significantly more than in other treatments (F = 77.726, df = 4, P < 0.001). Female daily reproductive rates and lifetime fecundities were not significantly different among the five groups (F = 0.173, df = 4, P = 0.951; F = 0.122, df = 4; P = 0.974; respectively) (Table 3).
Table 3. Effects of dietary restriction on reproductive lifespan and investment of female Amblydromalus limonicus under under control and four treatment conditions, which were: Fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Parameters | Control | T1 | T2 | T3 | T4 | P |
---|---|---|---|---|---|---|
Pre-oviposition period (d) | 1.3 ± 0.17a | 1.7 ± 0.21a | 1.4 ± 0.15a | 1.3 ± 0.17a | 1.3 ± 0.17a | 0.70 |
Ovi-position period (d) | 6.7 ± 0.37a | 6.5 ± 0.43a | 6.6 ± 0.31a | 6.3 ± 0.24a | 6.6 ± 0.29a | 0.95 |
Post-oviposition period (d) | 14.4 ± 0.34a | 23.5 ± 0.43b | 17.5 ± 0.31c | 18.0 ± 0.29c | 20.7 ± 0.44d | 0.00 |
Daily reproductive rate (Eggs/d) | 0.9 ± 0.02a | 1.0 ± 0.03a | 1.0 ± 0.03a | 1.0 ± 0.02a | 1.0 ± 0.02a | 0.95 |
Life time fecundity (eggs/female) | 6.2 ± 0.22a | 6.2 ± 0.31a | 6.3 ± 0.19a | 6.1 ± 0.26a | 6.3 ± 0.29a | 0.97 |
Values are mean ± SE. Value within the same row followed by the different letters are significantly different (P < 0.05, Tukey’s test).
Male and female lifespan
The lifespans of female A. limonicus (F = 507.005; df = 4; P = < 0.001) and male A. limonicus (F = 213.206; df = 4; P = < 0.001) were the longest when larvae were fasting for 1 day (Fig. 2). In all treatments, the females outlived the males (F = 156.080; df = 1; P < 0.001), but there was no significant interaction between treatments and sex (F = 1.94; df = 1; P = 0.108).
[See PDF for image]
Fig. 2
Average lifespan of male and female Amblydromalus limonicus under control and four dietary restriction treatment conditions, which were fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Relationship of body size (perimeter of dorsal shield) and longevity under short-term dietary restriction
We found significantly different perimeter shield values, relating to treatment (Table 4). The perimeter of the dorsal shield of control group was the longest, but the shortest for the T1 group –when each larva experienced fasting during its first day (F = 94.647; df = 4; P < 0.001) (Table 4). There were no significant differences in shield values between the sexes (Table 4). There was a significantly negative correlation between the perimeter of dorsal shield and lifespan, in both male (r = − 0.813, P < 0.001) and female (r = − 0.876, P < 0.001) mites (Fig. 3).
Table 4. Perimeter of dorsal shield of Amblydromalus limonicus under control and four dietary restriction treatment conditions, which were: Fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Control | T2 | T3 | T4 | T1 | P | |
---|---|---|---|---|---|---|
Dorsal shield of female | 1148.92 ± 13.39a | 1103.98 ± 1.98c | 1085.40 ± 1.76c | 1061.79 ± 2.57c | 987.88 ± 16.84b | P < 0.001 |
Dorsal shield of male | 1142.67 ± 6.92a | 1103.80 ± 1.90c | 1084.30 ± 2.08c | 1058.63 ± 3.93c | 946.08 ± 26.42b | P < 0.001 |
P | P = 0.406 | P = 0.404 | P = 0.402 | P = 0.409 | P = 0.386 |
Means ± SE within the same row followed by the different letters are significantly different (P < 0.05, Tukey’s test).
[See PDF for image]
Fig. 3
Body size and sex. (A) Correlations between the perimeter of dorsal shield and longevity of male Amblydromalus limonicus under dietary restriction. (B) Correlations between the perimeter of dorsal shield and lifespan of female A. limonicus under control conditions and dietary restriction for 1 day at the start of larva, protonymph (N1), deutonymph (N2) and adult stage.
Sex-specific response to short-term fasting
The Kaplan–Meier estimate of the survivor function showed that A. limonicus had the shortest survival time in the control group; and longer survival time when larvae experience 1-day fasting both in male and female (Fig. 4). Comparisons between any two treatments of survival time for male and female A. limonicus are shown in Table 5. Except for the comparison between T2 and T3 which showed no significance (P = 1.191 for male and P = 0.596 for female), all other comparisons between any two treatments of survival time had significant differences (P < 0.001), in full agreement with general patterns in lifespan duration between treatments (Fig. 2).
[See PDF for image]
Fig. 4
Survival functions. (A) Survivorship of male Amblydromalus limonicus subjected to dietary restriction under control conditions and four treatments; (B) Survivorship of female A. limonicus subjected to dietary restriction under control conditions and four treatments. The four dietary restriction treatment conditions were: Fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Table 5. Comparisons between any two treatments of survival time of male and female Amblydromalus limonicus under control and four dietary restriction treatment conditions, which were fasting for 1 day at the start of the larval (T1), protonymph (T2), deutonymph (T3) and adult (T4) stage.
Control | Control | T1 | T1 | T2 | T2 | T3 | T3 | T4 | T4 | ||
---|---|---|---|---|---|---|---|---|---|---|---|
Male | Control | χ2 = 19.937 | P = 0.000 | χ2 = 17.303 | P = 0.000 | χ2 = 17.456 | P = 0.000 | χ2 = 19.937 | P = 0.000 | ||
T1 | χ2 = 19.937 | P = 0.000 | χ2 = 20.934 | P = 0.000 | χ2 = 18.806 | P = 0.000 | χ2 = 18.606 | P = 0.000 | |||
T2 | χ2 = 17.303 | P = 0.000 | χ2 = 20.934 | P = 0.000 | χ2 = 1.713 | P = 1.191 | χ2 = 19.631 | P = 0.000 | |||
T3 | χ2 = 17.456 | P = 0.000 | χ2 = 18.806 | P = 0.000 | χ2 = 1.713 | P = 1.191 | χ2 = 16.489 | P = 0.000 | |||
T4 | χ2 = 19.937 | P = 0.000 | χ2 = 18.606 | P = 0.000 | χ2 = 19.631 | P = 0.000 | χ2 = 16.489 | P = 0.000 | |||
Female | Control | χ2 = 17.531 | P = 0.000 | χ2 = 23.469 | P = 0.000 | χ2 = 24.920 | P = 0.000 | χ2 = 32.068 | P = 0.000 | ||
T1 | χ2 = 17.531 | P = 0.000 | χ2 = 17.286 | P = 0.000 | χ2 = 17.347 | P = 0.000 | χ2 = 20.610 | P = 0.000 | |||
T2 | χ2 = 23.469 | P = 0.000 | χ2 = 17.286 | P = 0.000 | χ2 = 0.324 | P = 0.569 | χ2 = 31.663 | P = 0.000 | |||
T3 | χ2 = 24.920 | P = 0.000 | χ2 = 17.347 | P = 0.000 | χ2 = 0.324 | P = 0.569 | χ2 = 31.226 | P = 0.000 | |||
T4 | χ2 = 32.068 | P = 0.000 | χ2 = 20.610 | P = 0.000 | χ2 = 31.663 | P = 0.000 | χ2 = 31.226 | P = 0.000 |
Log Rank test was used in SPSS (P < 0.05).
Discussion
Although DR has been shown to retard aging and extend lifespan in a wide range of species7,8, DR or IF were often applied to experimental animals over an extended period of their lives. Studies on the effects of very short-term DR (< 5% of lifespan, and only once) have been attempted rarely. In this study, we showed very interesting effects of STFEL on the performance of the predatory mite species A. limonicus, which has a total lifespan of about a month.
The impact of DR, particularly fasting at various frequencies, on lifespan has been a topic of longstanding debate. Although some studies with poorly designed methods have yielded surprising results, most well-controlled studies confirmed that DR and fasting can prolong mean and maximum lifespan in many organisms—including dogs, rodents, worms, flies, yeasts, and prokaryotes28. It has been assumed that extended lifespan of DR evolved as an adaptive strategy to overcome the period during which food is in shortage29. Researchers have also predicted that, relative to the natural lifespan of organisms, the extended lifespan would be much more prominent in short-lived species than in the long-lived species30,31. Our study with the short-lived arthropod A. limonicus agreed with this: We found the mite’s lifespan was prolonged by almost 10 days (i.e. 37.7% of their total lifespan) when the larvae were fasted for 1 day.
Similar findings have been reported in other mites, such as Tetranychus urticae Koch, 18365, in which the female lifespan was prolonged by about 20% compared to individuals fed ad libitum. It should be noted that, in this study, the predatory mites were only starved for 1 day, which is different from some other studies where fasting lasted for a longer term. For example, in the study with T. urticae, the mites were subjected to IF throughout their adult stage. In comparison, our study highlighted that even short-term fasting in early life could have profound and long-lasting effects on the mites, and extend their lifespans in later life. Moreover, it is interesting that although starvation in different life stage all prolonged the lifespan of predatory mites in our current study, the most obvious effects was observed in mites which were fasted for 1 day in their larval stage. For A. limonicus, the larval stage is a facultative feeding stage—larvae can survive and develop to the next stage with or without feeding32,33. This study implied that plasticity in feeding during larval stage enabled the predatory mite to adapt much better when starvation occurred. It also further suggested that short-term DR in early life stages, and not necessarily long-term DR, is enough to induce beneficial effects in extending lifespan. This assumption is also supported by studies using the fruit fly as a model organism34, in which IF limited to middle life prolonged lifespan.
Some previous studies exploring the underlying mechanism of prolonged lifespan have pointed out that this benefit come at the cost of decreased lifetime fecundity, namely that there is a trade-off35. However, in our current study, the daily reproductive rate and lifetime fecundity did not differ across treatments. Additionally, no obvious changes in other reproductive parameters were found. The mites starved for 1 day all showed a similar pre-oviposition period and oviposition period. Only the post-reproductive duration differed among treatments, with the mites starved at the larval stage having the longest duration, and the control having the shortest—showing a similar trend to the total lifespan. These results indicated that the prolonged lifespan resulted mainly from the extend period in the post-reproductive stage. The conflict with Snell’s trade-off theory may be attributed to the fact that a post-reproductive lifespan is not prevalent and is rarely recorded in longevity studies36. Further studies with more attention to this life history trait are warranted to identify the relationship between longevity and post-reproductive lifespan.
In this study, we found that the body size of adult mites (as measured by the perimeter of their dorsal shield) differed significantly among treatments, being the longest in the control and shortest in the larval stage DR treatment, indicating starvation prolonged the larval stage and reduced the final body size of this predatory mite. Our study also found that the body size has a negative correlation with the longevity of predatory mites across treatments: The smaller mites lived longer than the bigger ones. These findings conflicted with those from a study with two-spotted spider mites, Tetranychus urticae Koch, in which no correlation was detected between body size and lifespan37. This divergence could result from the parameter for body size being different between these two studies: In Li and Zhang the body size were measured by the distance between the bases of paired sce setae on the prodorsal shield37; whereas we estimated body size by measuring the dorsal length of the shield because an increase in length of the dorsal shield does not always correspond with a proportional increase in dorsal shield width38. Therefore, we employed the perimeter of the dorsal shield suggested by Vangansbeke et al. in this study39. This indicator tends to be a better parameter to measure body size of mites to determine the influence of DR.
Our study indicates a positive correlation between fasting and escape rates in A. limonicus, likely reflecting its survival strategy under resource scarcity. Food deprivation may prompt migration to avoid competition or seek new resources, aligning with Vangansbeke et al. on cannibalism and Samaras et al. on pollen supplementation40,41. This highlights that maintaining stable food supplies (e.g., pollen or suitable prey) in biocontrol applications could reduce escape rates and improve efficacy.
The practical implications of these findings in our study for biological control programs can be emphasized as follows: (1) Optimizing mass-rearing protocols for predatory mites: The study shows that short-term fasting during the larval stage significantly extends lifespan. In large-scale production of A. limonicus, introducing a 1-day fasting period at the start of the larval stage (e.g., immediately after hatching) could be incorporated into rearing protocols to generate individuals with prolonged lifespans. Longer-lived predatory mites would maintain effective pest control over extended periods in the field, reducing the need for repeated releases and lowering associated costs while enhancing the sustainability of pest management11,42. (2) Targeting sensitive developmental stages for improved control efficiency: Given that the facultative-feeding larval stage is the most responsive to fasting-induced lifespan extension, biological control practices can focus on standardizing fasting interventions during this critical period. For example, by manipulating food availability at the larval stage in captive rearing, practitioners can select or enhance populations with enhanced longevity, ensuring that released mites exhibit prolonged survival and sustained predation pressure on target pests (e.g., spider mites, thrips), thus optimizing control efficacy43,44. (3) Cross-species applicability: The study highlights the potential of early-life dietary interventions to modulate lifespan in arthropods, a concept applicable to other biocontrol agents such as lady beetles, lacewings, and parasitoid wasps. Future research can investigate species-specific “sensitive periods” for dietary restriction, enabling the development of standardized fasting protocols to improve the field performance of diverse natural enemies. This approach promotes precision in biological control, reducing reliance on chemical pesticides and aligning with sustainable, environmentally friendly agricultural practices45. In conclusion, by investigating the impact of short-term DR on the lifespan of the predatory mite A. limonicus, we clarified that DR dramatically extended the lifespan of mites that experienced DR in their larval stage, extending their lifespan by up to 37.7%. Contrary to the trade-off theory35, there was no obvious cost in reproduction: The extended lifespan could be attributed mainly to a prolonged post-reproductive lifespan. A notable finding was the negative correlation between body size and longevity; mites starved during the larval stage were smaller and lived longer. This suggests that body size reduction may be an adaptive response to DR, promoting longevity. These results highlight the profound and lasting effects of short-term DR at specific life stages, without compromising reproductive success. This study has enhanced our understanding of DR-induced lifespan extension and emphasizes the importance of considering life stage and body size in aging research, for a range of species. More studies on short-term DR during different life stages using a wider range of taxa are needed to fully understand their effects on aging and lifespan.
Materials and methods
Mite cultures
The laboratory culture of A. limonicus used in this paper originated from mites found on greenhouse capsicum leaves in 2012 in South Auckland, New Zealand, and was maintained in a cabinet set at 25 ± 1 °C, 85 ± 5% RH and a 16:8 h light: dark (L: D) photoperiod at Manaaki Whenua—Landcare Research, Auckland, New Zealand. Predatory mites were reared on a black plastic arena (7 × 7 cm) on a wet sponge in a plastic tray containing water to prevent mites from escaping and to provide access to water46,47. Several 3–4 cm pieces of black sewing thread dusted with fresh pollen of oriental cattail–Typha orientalis C. Presl were placed around the margin of the rearing arenas to serve as feeding stations and oviposition substrate. These black sewing threads were covered with some squares of small white cloth of similar sizes with fresh T. orientalis pollen to fed A. limonicus. Fresh pollen of T. orientalis was collected from a reserve in St Johns, Auckland. It was dried in an oven at 35 °C for 2 d and then stored at − 18 °C for the experiment48. Fresh pollen, dusted threads and white cloth squares were added to the rearing unit every other day, and mouldy ones were removed when they were detected.
Methods and experiment
A modified Munger cell (upper diameter 6 mm, lower diameter 3 mm, height 3 mm), as described in detail by Liu and Zhang was used to rear individual mites in this experiment24. Water was provided to the mites by plugging a piece of tissue paper wick soaked in tap water through a hole in the bottom of the cell. To prepare cohorts of A. limonicus eggs (all 1-d old), groups of 10–20 young gravid females of A. limonicus were transferred to new black plastic arenas with pollen-dusted pieces of black sewing thread and white cloth. Eggs laid within the same 24 h were then transferred individually to these Munger cells. In total, 250 of these Munger cells, each containing 1 mite egg were prepared and assigned to either a control group, or to one of four treatment groups. Each treatment group involved fasting for 1 day at the start of a different feeding stage e.g. (i) larva—T1, (ii) protonymph—T2, (iii) deutonymph—T3, and (iv) adult—T4. There were 50 replicates per treatment.
In the control, mites were fed every day without fasting throughout their lifespan. Treatment 1 (T1) was for larval fasting (mites were fed pollen every day except the first day of the larval stage). Treatment 2 (T2) was for protonymph fasting (mites were fed pollen every day except the first day of the protonymph stage). Treatment 3 (T3) was for deutonymph fasting (mites were fed pollen every day except the first day of the deutonymphal stage). Treatment 4 (T4) was for adult fasting (mites were fed pollen every day except the first day of the adult stage). During the experiment, the survival of each mite was checked every 24 h, until all mites were dead. The number of mites escaped from the cell was also recorded and the escape rate was calculated as the proportion of mites that escaped from the cell in each treatment. The number of eggs laid by each female was also recorded each day. For all treatments and control, pieces of black sewing thread dusted with fresh pollen were added every other day until the adult mite died. Then all mites were mounted in Hoyer’s medium and dried in an oven 45 °C for 1 wk.
Measurement method
All specimens were examined, measured, and photographed with a Nikon eclipse Ni 90 microscope. All measurements are provided in micrometers. The measuring method follows Ma et al., except in the larval stage, the dorsal length was measured from j1 to the middle point of Z4 to Z4 (due to the fact that the larva does not have a single shield covering the whole idiosoma). Each measurement shows the average (minimum–maximum)49.
Statistical analysis
The survival time of A. limonicus (using the Kaplan–Meier estimate of the survivor function) were analyzed in Genstat® 18 statistics software (VSN International Limited, https://vsni.co.uk/software/genstat/). Other analyses were carried out using SPSS® 27.0 statistics software (SPSS Inc., Chicago, IL, USA). One-way ANOVAs and multiple comparisons and Tukey tests were used to analyze the female reproductive parameters, including: The pre-oviposition period, oviposition period, post-oviposition period, daily reproductive rate, and life time fecundity; all of these parameters were compared with dietary regimes as the main factor. The distribution of data for each parameter was checked to find whether they met the assumption of normal distribution before analysis. Log Rank test was used to compare between any two treatments of survival time of male (or female) A. limonicus under control and four dietary restriction treatment conditions.
Acknowledgements
The authors would like to thank Dr Jianfeng Liu and Dr Guangyun Li (The University of Auckland) for assistances in experimental support in the laboratory and statistical analyses in this paper. Helen O’Leary (Manaaki Whenua Landcare Research) kindly edited the draft of this manuscript and provided many useful comments, which are greatly appreciated.
Author contributions
ZQZ: Conceptualization; PYP: Writing—original draft; ZQZ: Writing—review and editing; PYP: Data curation; PYP: Methodology; ZQZ: Resources; ZQZ: Supervision; ZQZ: Funding acquisition.
Funding
Pei-Ying Peng’s visit to Manaaki Whenua Landcare Research, Auckland, New Zealand (where this experiment was conducted) was supported by a joint scholarship from the Guizhou University and Bureau of Education of Guizhou Province. Zhi-Qiang Zhang’s research on New Zealand mites was supported mainly by Strategic Science Investment Funding for Crown Research Institutes from the Ministry of Business, Innovation and Employment’s Science and Innovation Group.
Data availability
All data generated during this study are included in this published article.
Declarations
Ethical approval
This experiment reports research not using live vertebrates and higher invertebrates.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
1. Sohal, RS; Weindruch, R. Oxidative stress, caloric restriction, and aging. Science; 1996; 273, pp. 59-63.1996Sci..273..59S1:STN:280:DyaK283nsFGruw%3D%3D [DOI: https://dx.doi.org/10.1126/science.273.5271.59] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8658196][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2987625]
2. Heilbronn, LK; Ravussin, E. Calorie restriction and aging: Review of the literature and implications for studies on humans. Am. J. Clin. Nutr.; 2003; 78, pp. 361-369.1:CAS:528:DC%2BD3sXntFekurw%3D [DOI: https://dx.doi.org/10.1093/ajcn/78.3.361] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12936916]
3. Koubova, J; Guarente, L. How does calorie restriction work?. Genes Dev.; 2003; 17, pp. 313-321.1:CAS:528:DC%2BD3sXhtF2mtL4%3D [DOI: https://dx.doi.org/10.1101/gad.1052903] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12569120]
4. Lee, C; Longo, V. Dietary restriction with and without caloric restriction for healthy aging. F1000Res; 2016; 5, 117. [DOI: https://dx.doi.org/10.12688/f1000research.7136.1]
5. Li, GY; Zhang, ZQ. The sex-and duration-dependent effects of intermittent fasting on lifespan and reproduction of spider mite Tetranychus urticae. Front. Zool.; 2019; 16, pp. 1-10. [DOI: https://dx.doi.org/10.1186/s12983-019-0310-4]
6. McCay, CM; Cromwell, MF; Maynard, LA. The effect of retarded growth upon the length of lifespan and upon the ultimate body size. J. Nutr.; 1935; 10, pp. 63-79.1:CAS:528:DyaA2MXmtFCgug%3D%3D
7. Weindruch, RH; Walford, RL. The Retardation of Aging and Disease by Dietary Restriction; 1988; Charles C Thomas Publisher: pp. 241-246.
8. Du, TH et al. Influence of starvation on the activity ability of Bactrocera minax. Chin. J. Appl. Entomol.; 2019; 56, pp. 472-478. [DOI: https://dx.doi.org/10.7679/j.issn.2095-1353.2019.055]
9. Xu, XL; He, SQ; Wu, JX. The effect of starvation and subsequent feeding on the reproductive potential of the grain aphid Sitobionavenae. Entomol. Exp. Appl.; 2012; 144, pp. 294-300.
10. Zhang, DW et al. Insect behavior and physiological adaptation mechanisms under starvation stress. Front. Physiol.; 2019; 10, 163.2019pgrb.book...Z [DOI: https://dx.doi.org/10.3389/fphys.2019.00163] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30890949][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6411660]
11. Zhang, HP et al. Effects of short term starvation on longevity, fecundity and predation of Arma chinensis (Hemiptera: Pentatomidae). Chin. J. Biol. Control; 2017; 33, pp. 159-164.
12. Lane, MA et al. Caloric restriction in primates. Ann. NY Acad. Sci.; 2001; 928, pp. 287-295.2001NYASA.928.287L1:STN:280:DC%2BD38%2FntVSitA%3D%3D [DOI: https://dx.doi.org/10.1111/j.1749-6632.2] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11795520]
13. Anson, RM et al. Intermittent fasting dissociates beneficial effects of dietary restriction on glucose metabolism and neuronal resistance to injury from calorie intake. Proc. Natl. Acad. Sci. USA; 2003; 100, pp. 6216-6220.2003PNAS.100.6216A1:CAS:528:DC%2BD3sXjvFOlu7w%3D [DOI: https://dx.doi.org/10.1073/pnas.1035720100] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12724520][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC156352]
14. Mattson, MP; Wan, RQ. Beneficial effects of intermittent fasting and caloric restriction on the cardiovascular and cerebrovascular systems. J. Nutr. Biochem.; 2005; 16, pp. 129-137.1:CAS:528:DC%2BD2MXhslCmsLw%3D [DOI: https://dx.doi.org/10.1016/j.jnutbio.2004.12.007] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15741046]
15. Wang, J et al. Caloric restriction attenuates beta-amyloid neuropathology in a mouse model of Alzheimer’s disease. Faseb J.; 2005; 19, pp. 659-661.1:CAS:528:DC%2BD2MXjtFaksLc%3D [DOI: https://dx.doi.org/10.1096/fj.04-3182fje] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15650008]
16. Klebanov, S. Can short-term dietary restriction and fasting have a long-term anticarcinogenic effect?. Interdiscip. Top. Gerontol.; 2007; 35, pp. 176-192.1:CAS:528:DC%2BD2sXjvFWnt7s%3D [DOI: https://dx.doi.org/10.1159/000096562] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17063039]
17. Ingram, DK et al. Dietary restriction benefits learning and motor performance of aged mice. J. Gerontol.; 1987; 42, pp. 78-81.1:STN:280:DyaL2s%2FosVGitA%3D%3D [DOI: https://dx.doi.org/10.1093/geronj/42.1.78] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/3794202]
18. Moroi-Fetters, SE et al. Dietary restriction suppresses age-related changes in dendritic spines. Neurobiol. Aging; 1989; 10, pp. 317-322.1:STN:280:DyaK3c%2FksVCmug%3D%3D [DOI: https://dx.doi.org/10.1016/0197-4580(89)90042-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2682315]
19. Mattson, MP. Neuroprotective signaling and the aging brain: Take away my food and let me run. Brain Res.; 2000; 886, pp. 47-53.1:CAS:528:DC%2BD3cXovFGktL8%3D [DOI: https://dx.doi.org/10.1016/s0006-8993(00)02790-6] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11119686]
20. Pedersen, WA; Mattson, MP. No benefit of dietary restriction on disease onset or progression in amyotrophic lateral sclerosis Cu/Zn-superoxide dismutase mutant mice. Brain Res.; 1999; 833, pp. 117-120.1:CAS:528:DyaK1MXkt1CrsbY%3D [DOI: https://dx.doi.org/10.1016/s0006-8993(99)01471-7] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10375685]
21. Goodrick, CL et al. Effects of intermittent feeding upon body weight and lifespan in inbred mice: Interaction of genotype and age. Mech. Ageing Dev.; 1990; 55, pp. 69-87.1:STN:280:DyaK3czosVaisg%3D%3D [DOI: https://dx.doi.org/10.1016/0047-6374(90)90107-q] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2402168]
22. Weindruch, R; Sohal, RS. Seminars in medicine of the Beth Israel Deaconess Medical Center. Caloric intake and aging. N. Engl. J. Med.; 1997; 337, pp. 986-994.1:CAS:528:DyaK2sXmslyitLo%3D [DOI: https://dx.doi.org/10.1056/NEJM199710023371407] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/9309105][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851235]
23. Mattson, MP; Chan, SL; Duan, W. Modification of brain aging and neurodegenerative disorders by genes, diet and behavior. Physiol. Rev.; 2002; 82, pp. 637-672.1:CAS:528:DC%2BD38XlslCmtrc%3D [DOI: https://dx.doi.org/10.1152/physrev.00004.2002] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12087131]
24. Liu, JF; Zhang, ZQ. Development, survival and reproduction of a New Zealand strain of Amblydromalus limonicus (Acari: Phytoseiidae) on Typha orientalis pollen, Ephestia kuehniella eggs, and an artificial diet. Int. J. Acarol.; 2017; 43, pp. 153-159. [DOI: https://dx.doi.org/10.1080/01647954.2016.1273972]
25. Van Lenteren, JC. The state of commercial augmentative biological control: Plenty of natural enemies, but a frustrating lack of uptake. Biocontrol; 2012; 57, pp. 1-20. [DOI: https://dx.doi.org/10.1007/s10526-011-9395-1]
26. McMurtry, JA; Moraes, GJD; Sourassou, NF. Revision of the lifestyles of phytoseiid mites (Acari: Phytoseiidae) and implications for biological control strategies. Syst. Appl. Acarol.; 2013; 18,
27. Xu, Y; Zhang, ZQ. Amblydromalus limonicus: A “new association” predatory mite against an invasive psyllid (Bactericera cockerelli) in New Zealand. Syst. App. Acarol.; 2015; 20, pp. 375-382. [DOI: https://dx.doi.org/10.11158/saa.20.4.3]
28. Fontana, L; Partridge, L; Longo, VD. Extending healthy lifespan—from yeast to humans. Science; 2010; 328, pp. 321-326.2010Sci..328.321F1:CAS:528:DC%2BC3cXks1Snsro%3D [DOI: https://dx.doi.org/10.1126/science.1172539] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20395504][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607354]
29. De Cabo, R et al. The search for antiaging interventions: From elixirs to fasting regimens. Cell; 2014; 157, pp. 1515-1526.1:CAS:528:DC%2BC2cXhtVCisrfO [DOI: https://dx.doi.org/10.1016/j.cell.2014.05.031] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24949965][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4254402]
30. Colman, RJ et al. Caloric restriction delays disease onset and mortality in rhesus monkeys. Science; 2009; 325, pp. 201-204.2009Sci..325.201C1:CAS:528:DC%2BD1MXos1SrtL0%3D [DOI: https://dx.doi.org/10.1126/science.1173635] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19590001][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812811]
31. Mattison, JA et al. Impact of caloric restriction on health and survival in rhesus monkeys from the NIA study. Nature; 2012; 489, pp. 318-321.2012Natur.489.318M1:CAS:528:DC%2BC38Xht1KkurnK [DOI: https://dx.doi.org/10.1038/nature11432] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22932268]
32. Zhang, ZQ; Croft, BA. A comparative life history study of immature Amblyseius fallacis, Amblyseius andersoni, Typhlodromus occidentalis and Typhlodromus pyri (Acari: Phytoseiidae) with a review of larval feeding patterns in the family. Exp. Appl. Acarol.; 1994; 18, pp. 631-657. [DOI: https://dx.doi.org/10.1007/BF00051532]
33. Liu, W; Zhang, K; Zhang, ZQ. Larval feeding types shape the predation aggression of predatory mites in both intraspecific and interspecific encounters. Syst. Appl. Acarol.; 2023; 28, pp. 1272-1282. [DOI: https://dx.doi.org/10.11158/saa.28.7.6]
34. Catterson, JH et al. Short-term, intermittent fasting induces long-lasting gut health and TOR-independent lifespan extension. Curr. Biol.; 2018; 28, pp. 1714-1724.e4.1:CAS:528:DC%2BC1cXpslaqs7g%3D [DOI: https://dx.doi.org/10.1016/j.cub.2018.04.015] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29779873][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988561]
35. Snell, TW. Rotifers as models for the biology of aging. Int. Rev. Hydrobiol.; 2014; 99, pp. 84-95.1:CAS:528:DC%2BC2cXks1Sit74%3D [DOI: https://dx.doi.org/10.1002/iroh.201301707] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24791148][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4004354]
36. Kuszewska, K; Woloszczuk, A; Woyciechowski, M. Reproductive cessation and post-reproductive lifespan in honeybee workers. Biology; 2024; 13, 287.1:CAS:528:DC%2BB2cXhtlajt7jO [DOI: https://dx.doi.org/10.3390/biology13050287] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38785769][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11117506]
37. Li, GY; Zhang, ZQ. Does size matter? Fecundity and longevity of spider mites (Tetranychusurticae) in relation to mating and food availability. Syst. Appl. Acarol.; 2018; 23, pp. 1796-1808. [DOI: https://dx.doi.org/10.11158/saa.23.9.6]
38. Toyoshima, S; Amano, H. Effect of prey density on sex ratio of two predacious mites, Phytoseiulus persimilis and Amblyseius womersleyi (Acari: Phytoseiidae). Exp. Appl. Acarol.; 1998; 22, pp. 709-723. [DOI: https://dx.doi.org/10.1023/A:1006093424452]
39. Vangansbeke, D et al. Performance of the predatory mite Amblydromaluslimonicus on factitious foods. Biocontrol; 2014; 59, pp. 66-67. [DOI: https://dx.doi.org/10.1007/s10526-013-9548-5]
40. Vangansbeke, D et al. Food supplementation affects interactions between a phytoseiid predator and its omnivorous prey. Biocontrol; 2014; 76, pp. 95-100. [DOI: https://dx.doi.org/10.1016/j.biocontrol.2014.06.001]
41. Samaras, K et al. Pollen provisioning enhances the performance of Amblydromaluslimonicus on an unsuitable prey. Front. Ecol. Evol.; 2019; 7, 122. [DOI: https://dx.doi.org/10.3389/fevo.2019.00122]
42. Xu, Y et al. Early life food-intake modulates effects of diet restriction on lifespan and fecundity in later life in a predatory mite (Acari: Phytoseiidae). Curr. Zool.; 2024; [DOI: https://dx.doi.org/10.1093/cz/zoae047] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/40620589][PubMedCentral: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227415]
43. Ghazy, NA et al. The effects of prestarvation diet on starvation tolerance of the predatory mite Neoseiulus californicus (Acari: Phytoseiidae). Physiol. Entomol.; 2015; 40, pp. 296-303.1:CAS:528:DC%2BC2MXhvVyitL3E [DOI: https://dx.doi.org/10.1111/phen.12114]
44. Wei, XY; Li, GY; Zhang, ZQ. Prey life stages modulate effects of predation stress on prey lifespan, development, and reproduction in mites. Insect Sci.; 2023; 30, pp. 844-856. [DOI: https://dx.doi.org/10.1111/1744-7917.13124] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36271685]
45. Boggs, CL; Niitepõld, K. Effects of larval dietary restriction on adult morphology, with implications for flight and life history. Entomol. Exp. Appl.; 2016; 159, pp. 189-196. [DOI: https://dx.doi.org/10.1111/eea.12420]
46. Overmeer, WPJ. Helle, W; Sabelis, MW. Spider mites, their biology, natural enemies and control. Spider Mites, Their Biology, Natural Enemies and Control; 1985; Elsevier Science: pp. 161-170.
47. Lee, MH; Zhang, ZQ. Habitat structure and its influence on populations of Amblydromalus limonicus (Acari: Phytoseiidae). Syst. Appl. Acarol.; 2016; 21, pp. 1361-11378. [DOI: https://dx.doi.org/10.11158/saa.21.10.7]
48. Kar, F; Lin, S; Zhang, ZQ. Neocypholaelapsnovaehollandiae Evans (Acari: Ameroseiidae) rediscovered: experiments on its life history and behaviour. N.Z. Entomol.; 2015; 38, pp. 126-133. [DOI: https://dx.doi.org/10.1080/00779962.2015.1043043]
49. Ma, M; Fan, QH; Li, SC. Typhlodromus Scheuten (Acari: Phytoseiidae) from Shanxi province of China. Syst. Appl. Acarol.; 2016; 21, pp. 1614-1630. [DOI: https://dx.doi.org/10.11158/saa.21.12.3]
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Abstract
Dietary restriction is one of the most effective and reproducible dietary interventions known to regulate aging and increase the healthy lifespan in various model organisms, ranging from the unicellular yeast to worms, flies, rodents, and primates. This study examined the effects of short-term fasting during early life (STFEL) on longevity in the phytoseiid predatory mite Amblydromalus limonicus, hypothesizing that STFEL—especially at the facultative feeding larval stage—would extend lifespan. Experimental mites were divided into a control group with no fasting and four treatment groups subjected to 1-day fasting at the start in different developmental stages: Larval (T1), protonymph (T2), deutonymph (T3), and adult (T4). Results demonstrate that STFEL could significantly extends lifespan, with the most pronounced effects observed when fasting occurred at the start of the larval stage compared to other periods. These findings highlight the adaptive role of facultative feeding larvae and provide a foundation for developing physiological enhancement strategies in biocontrol applications.
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Details
1 Qujing Medical College, Institute of Microbiology, Qujing, China (GRID:grid.458488.d) (ISNI:0000 0004 0627 1442)
2 Manaaki Whenua Landcare Research Group, Bioeconomy Science Institute, Auckland, New Zealand (GRID:grid.419186.3) (ISNI:0000 0001 0747 5306); The University of Auckland, School of Biological Sciences, Auckland, New Zealand (GRID:grid.9654.e) (ISNI:0000 0004 0372 3343)