Conceived and designed the experiments: LBC CMB LL TWS. Performed the experiments: LBC MVA. Analyzed the data: LBC CMB. Contributed reagents/materials/analysis tools: TWS. Wrote the paper: LBC.
The effect of temperature on insect biology is well understood under constant temperature conditions, but less so under more natural, fluctuating conditions. A fluctuating temperature profile around a mean of 26°C can alter
We investigated the effects of large and small daily temperature fluctuations at low (16°C) and high (35–37°C) mean temperatures, after we identified these temperatures as being thresholds for immature development and/or adult reproduction under constant temperature conditions. We found that temperature effects on larval development time, larval survival and adult reproduction depend on the combination of mean temperature and magnitude of fluctuations. Importantly, observed degree-day estimates for mosquito development under fluctuating temperature profiles depart significantly (around 10–20%) from that predicted by constant temperatures of the same mean. At low mean temperatures, fluctuations reduce the thermal energy required to reach pupation relative to constant temperature, whereas at high mean temperatures additional thermal energy is required to complete development. A stage-structured model based on these empirical data predicts that fluctuations can significantly affect the intrinsic growth rate of mosquito populations.
Our results indicate that by using constant temperatures, one could under- or over-estimate values for numerous life-history traits compared to more natural field conditions dependent upon the mean temperature. This complexity may in turn reduce the accuracy of population dynamics modeling and downstream applications for mosquito surveillance and disease prevention.
The effects of constant temperatures on the life-history traits of
Numerous estimates and predictions of the effects of temperature on the stability of mosquito populations, expansion or contraction of geographic range, and vector competence have been published
Recent studies have shown that diurnal temperature range (DTR) can alter estimates of immature development in Anopheline and Aedine mosquitoes and their vector competence for malaria parasites and dengue viruses (DENV)
Such responses to temperature variation are not restricted to Aedine mosquitoes. Paaijmans et al.
Current knowledge on the effects of realistic temperature fluctuations on
We tested the effect of temperature on a number of life-history traits of
The amplitudes of the fluctuations used in the experiments were either
Using this empirical development time data, we calculated the required DDs for
We used
For each experiment, estimates of egg to pupa development time were made by rearing mosquitoes in replicate rearing cups, with 20 individuals per cup with 100 ml deionized water, hatched under vacuum to ensure minimal variation of hatching time. We tested between 13 and 20 replicate cups per temperature treatment. For each temperature, pre-warmed water was used to replenish the evaporated water every day at the same time that food was administered. We assessed survival daily (except for the first day, due to the fragility of the newly-hatched first instar larvae) by counting the number of remaining larvae left in each cup. Mean development time from egg hatch to pupation was recorded in hours or days. High temperature experiments (a mean of 26° and above) were scored every 6 hours from first pupation to the last and low temperature experiments (≤20°C) were scored once daily due to slower development rates. Median time from pupation to emergence was recorded to enable complete population dynamic estimates for subsequent modeling.
Based on a linear regression constructed from the rates of development for each rearing cup at constant temperatures between 16°C and 35°C, we calculated the minimum development threshold temperature, and subsequently determined the DD required for the KPP population
Mosquitoes assessed in experiments were all reared under the temperatures at which they were tested, with controlled densities in experimental cages. Between 10 and 18 females reared per temperature were each placed with a single male within 24 hours of emergence. We measured the length of time from emergence until the first blood meal (termed the pre-blood meal period), the time it took from the first blood meal to the first day eggs were observed (length of the first gonotrophic cycle) and the number of eggs that were laid (clutch size). Human blood (L.B.C.) was offered for 15 minutes every day from the start of the experiment, until two days after the first blood meal of each female, which allowed females two subsequent opportunities to feed to repletion. If a female had still not fed on the third day after the experiment began (or fifth day at the lower temperatures), she was removed from the analysis. Females at higher temperatures were allowed a minimum of seven days to lay eggs. At the cooler temperature treatments females were allowed 3 weeks.
The University of California at Davis Institutional Review Board determined that this experiment (allowing mosquitoes to take blood meals from people) did not meet the criteria for human subjects research and thus, did not require human subjects approval.
All analyses were conducted using JMP (SAS Inc., NC, USA). For immature traits, we used a Kaplan-Meier analysis (Log-rank tests) to assess the effect of temperature on development time and survival. We additionally used a multivariate Analysis of Variance (MANOVA) to determine the effect of temperature on mean development time (hatching to pupation) and percentage of larvae surviving to pupation for each cup. We then used univariate Analyses of Variance (ANOVA) as post-hoc tests to determine which individual traits were affected by these factors. Each test was performed both with and without the 26°C treatment from Carrington et al.
We applied a MANOVA to fecundity data (pre-blood meal period, length of the gonotrophic cycle and clutch size) to assess the effect of temperature in initial experiments and DTR in subsequent experiments on each female. ANOVAs were then used to determine which particular traits tested within the MANOVA were actually affected. As for the immature data, we included the 26°C data from Carrington et al.
We constructed a simple stage-structure matrix model
We first describe the results from the immature life-history traits (larval development time and larval/pupal survival) and DD calculations. This is followed by presentation of adult traits (length of pre-blood meal period, length of the first gonotrophic cycle, and the number of eggs in the first gonotrophic cycle). Within each section, we describe the combined results from experiments at constant temperatures first and then those with fluctuations. Finally, the predictions of the model are presented.
Larval density can influence development time, therefore we considered the effect of temperature jointly on development time and survival estimates using a multivariate analysis of variance (MANOVA). Temperature significantly influenced development time and survival (Wilk’s Λ14, 186 = 168.105, p<0.0001). Ancillary ANOVAs on these individual traits indicated that temperature impacted both traits (development time: F7, 94 = 612.02, p<0.0001; survival: F9, 135 = 364.87, p<0.0001). Development time was fastest at 35°C (mean development time 5.85 days ±0.133 SE), and slowest at 16°C (31.7 days ±0.48 SE). At this low temperature, the single longest time it took an individual to pupate was 92 days (it died shortly after pupation). As this individual was clearly an outlier (by more than 1 month), we excluded this individual from the analysis. None of the larvae survived until pupation at 12°C and 40°C, and as such, we were not able to obtain an estimate of development time for those treatments. Mean times until death, however, were 7.44 and 2.67 days, respectively. Less than 1% larval survival was observed for 39°C. A total of three larvae pupated at this temperature, although they were already dead at the time they were first observed. At 16°C and 38°C larval survival was also low (65.7% and 63.5% survival respectively). The highest larval survival was seen at 26°C (90.5%), closely followed by 30°C (88.6%) and 20°C (88.3%). Survival rates for pupae ranged between >80% for all temperatures between 20°C and 37°C. At 38°C only 11% of pupae survived to become adults, and they were small, feeble and inactive. Mean larval survival and development times are shown in
(A) Mean development time in days from egg hatching to pupation and (B) Mean percentage of larval survival across temperature ranges. Treatments with the same letter above each bar are not statistically different from each other according to a Tukey HSD post-hoc test. Note that 26°C was performed in the study by Carrington et al.
According to log-rank tests, temperature influenced larval development curves (χ2 = 2890.53, df = 9, p<0.0001), consistent with the results above. All temperature treatments were statistically different from each other in pair-wise analyses, except between the 20°C and 39°C treatments (χ2 = 2.11, df = 1, p = 0.146) and the 37°C and 38°C treatments (χ2 = 0.469, df = 1, p = 0.493).
Each color represents a temperatures treatment, indicated at the right. There was a slightly significant effect of temperature on development time (χ2 = 2551.02, df = 8, p<0.0001). Note that 26°C was performed in the study by Carrington et al.
MANOVA indicated that DTR influenced larval development time and survival at 16°C (Wilk’s Λ4, 82 = 4.781, p = 0.0019). ANOVAs demonstrate an effect of DTR on development time (F2, 42 = 7.23, p = 0.002;
(A and B) Estimates of development time for the high and low temperatures, respectively. (C and D) Percentage larval survival for the high and low temperature experiments, respectively. Error bars represent ±1 standard error of the mean. Treatments with the same letter above each bar are not statistically different from each other according to a Tukey HSD post-hoc test.
Log-rank tests confirm the effect of DTR on development rates at 16°C (χ2 = 44.45, df = 2, p<0.0001). The large DTR significantly reduced mean development time (30.7 days) compared to both the constant temperature (35.7 days; χ2 = 33.91, df = 1, p<0.0001) and small fluctuation (34.7 days; χ2 = 24.95, df = 1, p<0.0001). There was no difference between the small DTR and constant temperature regimes (χ2 = 0.714, df = 1, p = 0.397).
Temperatures beyond 37°C significantly lowered the survival of immature mosquitoes, and beyond 35°C there was a reduction in the ability of females to reproduce (see below). We therefore tested mosquitoes at a constant temperature of 35°C and two temperature regimes with small diurnal fluctuations (35°C and 37°C), representing the thresholds for development and reproduction, which each temperature regime treated as a nominal variable.
Temperature treatment significantly altered mosquito development time and survival according to MANOVA (Wilk’s Λ2, 42 = 13.393, p<0.0001). Development time and survival were both significantly affected by temperature treatments (F2, 42 = 9.394, p = 0.0004 and F2, 42 = 20.831, p<0.0001 respectively). Egg-to-pupae development time increased from 6.11 days at 35°C constant to 6.50 days with a small fluctuation at the same mean. Development time under small fluctuations at 37°C rose to 7.37 days. Adults emerging from the 37°C+small DTR treatment responded very similarly to those reared at a constant 38°C, in that they were inactive, weak, and died shortly after emergence. Only the 35°C constant and 37°C small DTR treatment were different from each other in mean development times (
Log-rank tests confirmed the overall effect of temperature on differing development curves at high temperatures (χ2 = 40.44, df = 2, p<0.0001), and pair-wise comparisons demonstrated that each curve was different from the other two treatments (p<0.005 in each test).
The minimum temperature threshold for development of the KPP population was estimated at 11.78°C based on the linear regression between 16°C and 35°C (R2 = 0.982). Based on this minimum threshold, we calculated that mosquitoes required an average of 126.38 (±1.49 SE) DD for larval development. We observed no difference between the calculated DDs for each of the five constant temperature regimes based on the means of each replicate cup (F4, 69 = 1.458, p = 0.224).
The addition of fluctuations did result in differences in degree-day requirements. For a 16°C mean temperature, effects of DTR on DD estimates were significant (F2, 39 = 5.47, p = 0.008). A small DTR reduced DDs by ∼4%, while a large DTR reduced DDs by 18%. DTR also influenced DD estimates around an intermediate mean of 26°C (F2, 45 = 8.02, p = 0.001), but in the opposite direction. There was a negligible difference between the small and constant temperature regimes (<1%), but 13% more DDs were required for mosquitoes to develop under the large DTR compared to constant temperatures. At the upper end of the scale, small fluctuations around a 35°C mean produced an 11% increase in DDs required to reach pupation (F1, 28 = 10.64, p = 0.002). We did not test the 37°C+small DTR treatment because 37°C was out of the range for linear development for this population.
Zero on the y-axis represents the estimated degree-days for constant temperature development, with the bars in either direction indicating the relative change in degree-days needed by mosquitoes under respective fluctuating temperature treatments to reach pupation. Asterisks indicate that the change is significantly different to the constant temperature control (p<0.01).
Ninety-eight females were assessed for three reproductive traits (pre-blood meal period, length of gonotrophic cycle and clutch size) in the first experiments, testing the effect of constant temperature from 16°C up to 37°C. According to a MANOVA, temperature influenced
(A) Mean number of days before a female took a blood meal from a human; (B) Mean length of the gonotrophic cycle (measured from the time of the first blood meal to the time the first eggs were laid); and (C) Mean number of eggs paid per female in their first gonotrophic cycle. Error bars represent ±1 standard error of the mean. Missing values in panels B and C for the 16°C and 37°C treatments are because no eggs were laid by any female. Treatments with the same letter above each bar are not statistically different from each other according to a Tukey HSD post-hoc test. Note that 26°C was performed in the study by Carrington et al.
When both small and large fluctuations were added to a mean temperature of 16°C, the number of females feeding increased from 50% to up to 100%. Consistent with the previous result at the 16°C constant temperature regime, females that blood fed failed to lay eggs after more than three weeks. Despite the increase in DTR and greater number of females that fed, all females in both the small and large DTR regimes failed to lay eggs after an allowed 3-week oviposition period.
Females from the highest temperature treatment (37°C+small DTR) responded very similarly to mosquitoes from the 38°C constant temperature treatment in the first experiments; all died within the first days after emergence. We had no blood feeding success at this temperature. At 35°C with small fluctuations and despite having daily access, no females were interested in feeding on human blood. They showed no attempts to move toward the blood source. Females from the 35°C constant treatment were the only ones to successfully take a blood meal, which occurred an average of 2 days (±0.24 SE) after emergence. The mean number of eggs laid was 25.5 eggs/female (±7.71 SE), after 5 days (±0.58 SE).
Using empirical data from this study, our deterministic model allowed us to collectively evaluate the impacts of all life-table parameters of
A temperature of 26°C with both small and large fluctuations, however, sustained population growth and our model predicts that the previously reported ‘negligible or slightly positive’ effects on mosquito life-history traits observed under small fluctuations
Percentages for each temperature treatment indicate the projected exponential population growth rates per day. Note that the y-axis is on a log2 scale, so that each successive horizontal line represents a doubling of the population size.
In this study we expanded upon our recent work
An overall conclusion from our study is that due to the differences in mosquito life-history traits that we detected, better understanding of daily temperature variation on insect physiology will lead to improved vector control by local authorities and long-term management of vector-borne disease risk. It is important to note that in this context our results are specific to the mosquito population we studied and, although we do not expect the overall trends to vary significantly, detailed responses will likely vary among different
Development time estimates were highly temperature sensitive, and inversely related to temperature up to a maximum of 35°C. Beyond this threshold, the rate of development declined. The addition of a small DTR around 16°C and 35°C did not alter development time relative to the constant temperature control, but at 16°C a large DTR significantly accelerated development. A similar result demonstrating the importance of DTR magnitude was reported for a large DTR at 26°C
Although the mean temperature a mosquito is exposed to throughout the day may be the same across DTR treatments, as indicated by significant effects of DTR on our DD estimates, there appears to be an underlying physiological response of the mosquito to the daily variation in temperature that contributes to changes in the speed of development that is not observed under equivalent constant temperatures. Directionality of the change is dependent on mean temperature. At intermediate and high temperatures, both large and small fluctuations (at 26°C and 35°C respectively) resulted in mosquitoes needing a greater amount of thermal energy to reach pupation than under the constant temperature control. At low temperatures, however, large fluctuations significantly reduce this number of DDs, despite the exposure temperatures dropping below the minimum for development for portions of the day. We are unaware of any studies that have performed comparable experiments with realistic fluctuations in temperature in other species.
These results underline the importance of using appropriate temperature regimes when measuring population parameters in order to accurately describe mosquito life-history. Without considering this variation, it is possible that development rates of mosquitoes (and other insects) in nature are either under- or overestimated, dependent upon mean temperature.
High mean temperatures with fluctuations were detrimental for mosquito reproduction. The addition of even a small DTR to a 35°C mean temperature terminated reproduction, presumably because the maximum temperature reached during the day (∼39.7°C) was damaging to the mosquitoes. Initial testing demonstrated that mosquitoes did not reproduce at 16°C, but we hypothesised that the addition of fluctuations might rescue female reproduction. Despite an increase in blood feeding activity, there were no eggs laid by any female exposed to fluctuating temperatures around of mean of 16°C, suggesting that either this mean temperature or the extremely low overnight temperatures are detrimental to reproduction.
It is possible that the females that did not lay eggs in these experiments were in fact unmated; we did not physically observe all females copulate and we did not dissect ovaries to confirm insemination and egg development in the blood fed females. Future experiments would benefit from allowing females more time to lay eggs, and subsequently dissecting individuals to determine stages of egg development. Another possibility is that these low temperatures negatively impacted male fertility. This issue needs further examination. Although we cannot offer an explanation to the cause of failed reproduction, this result is biologically meaningful. In our experiment, we reproduced field conditions by rearing both sexes and allowing mating to occur at the temperatures at which they were tested.
Unfortunately, we were unable to test for statistical significance between temperature-DTR treatments at high and low temperatures for reproduction because no estimates were obtained. These descriptive results, however, strongly suggest that DTR at both upper and lower ends of the temperature scale can alter estimates of life-history traits relative to constant temperatures. Predictions of mosquito responses to temperature in the wild based on laboratory estimates should thus be made with caution. Despite a lack of reproduction it is important to note that the continued blood feeding of mosquitoes at these high and low temperatures may still allow for the transmission of mosquito-borne pathogens, including DENV which can be transmitted at temperatures as low as 13°C
Previous studies have shown that both temperature and humidity have the ability to alter fecundity estimates. Costa
Our model predicts population growth for
Our population dynamic model could only be run for each temperature when we obtained mosquito trait values after they completed each stage in the model. The lack of experimental data we obtained at particular high and low temperature-DTR combinations, which is a result in itself, meant that we were unable to obtain output at those temperature regimes. We did not assess the effect of fluctuations at constant 30°C and constant 20°C, which the model ranked as the most and least optimal conditions for population growth, respectively.
Modeling of
Fluctuating temperatures alter estimates of life-history traits in immature and adult
We thank William Reisen for continued practical support, access to containment facilities, and stimulating discussions, Alongkot Ponlawat for collecting and sending mosquito eggs. This research benefited from discussions with Matthew Thomas, Krijn Paaijmans, and working group members in the Research and Policy for Infectious Disease Dynamics (RAPIDD) program of the Science and Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health.