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PIERRE-FRANÇOIS DUYCK, NIKOS A. KOULOUSSIS, NIKOS T. PAPADOPOULOS, SERGE QUILICI, JANE-LING WANG, CI-REN JIANG, HANS-GEORG MÜLLER, JAMES R. CAREY, Lifespan of a Ceratitis fruit fly increases with higher altitude, Biological Journal of the Linnean Society, Volume 101, Issue 2, October 2010, Pages 345–350, https://doi.org/10.1111/j.1095-8312.2010.01497.x
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Abstract
Variation in lifespan may be linked to geographic factors. Although latitudinal variation in lifespan has been studied for a number of species, altitude variation has received much less attention, particularly in insects. We measured the lifespan of different populations of the Natal fruit fly, Ceratitis rosa, along an altitudinal cline. For the different populations, we first measured the residual longevity of wild flies by captive cohort approach and compared the F1 generation from the same populations. We showed an increase in lifespan with higher altitude for a part of the data obtained. For the field-collected flies (F0) the average remaining lifespan increased monotonically with altitude for males but not for females. For the F1 generation, the longevity of both males and females of the highest-altitude population was longer than for the two other lower-altitude populations. This relationship between altitude and lifespan may be explained by the effects of temperature on reproduction. Reproductive schedules in insects are linked to temperature: lower temperature, which is characteristic of high-altitude sites, generally slows down reproduction. Because of a strong trade-off between reproduction and longevity, we therefore observed a longer lifespan for the high-altitude populations. Other hypotheses, such as different predation rates in the different sites, are also discussed.
INTRODUCTION
Variation in longevity in the wild may be caused by different external factors. Classical theories on the evolution of senescence predict that populations that have experienced external high mortality rates will senesce more quickly (Williams et al., 2006). For example, populations that have been subjected to high predation rate have evolved to a shorter lifespan (Reznick, Bryant & Holmes, 2006).
Variation in longevity may also be linked to geographic abiotic factors. Longevity in the wild may vary with latitude and altitude, in relation to temperature. Most studies on the relationship between senescence and geographic variation have been carried out in birds. Different studies have shown that the senescence rate among bird species increases with latitude, as expected because of slow life-histories at low latitudes (Fogden, 1972; Møller, 2007; Wiersma et al., 2007). The shorter lifespan in birds from temperate compared to tropical climates may be explained by birds having evolved a high basal metabolic rate linked to a high thermogenic capacity (Wiersma et al., 2007). However, in ectotherms, such as insects, lifespan usually increases with latitude, and this variation of lifespan within a species has been recently explained by the metabolic theory of ecology (Munch & Salinas, 2009).
Although latitudinal variation in lifespan has been studied for a number of species, variation with altitude, in particular in insects, has received much less attention, most likely because altitudinal clines involve shorter distances, with gene flow between populations probably being important (Karl, Janowitz & Fischer, 2008). In a study on grasshoppers in California, Tatar, Gray & Carey (1997) showed a decrease in longevity with high altitude. It was hypothesized that high elevation populations have evolved an accelerated senescence as a result of selection on reproductive schedules, which are potentially structured by severe winter conditions at the elevated sites. However reproductive schedules in insects are linked to temperature and lower temperature at high elevation sites should slow down reproduction. Experimentally increased reproductive activity is generally associated with a decreased lifespan (Williams, 1966; Gustafsson & Part, 1990; Chapman et al., 1998). Because of this strong trade-off between reproduction and longevity, a longer lifespan should be observed in high elevation places. In a site where winter conditions are not strong enough to stop reproduction, we predict an increase in lifespan with higher altitude.
We tested this prediction along an altitudinal gradient in a tropical area (La Réunion, an island in the south-western Indian Ocean) using a Ceratitis fruit fly species. Ceratitis rosa is very closely genetically and ecologically related to the medfly, Ceratitis capitata (Malacrida et al., 1996; Torti et al., 1998; Baliraine et al., 2004; De Meyer et al., 2008), which is an important model species for ageing studies (Carey, 2001). Ceratitis rosa is present in Eastern and Southern Africa as well as in some Indian ocean islands (De Meyer et al., 2008). It invaded La Réunion in the mid-20th century and is now present in most parts of the island (Duyck, David & Quilici, 2006). Ceratitis rosa is able to develop in a wide range of temperatures and is therefore found from sea level up to an altitude of 1500 m. Pupae of this species survive better in humid compared to dry conditions (Duyck et al., 2006). As for other fruit fly species, the development and reproductive ability of C. rosa are linked to temperature, with lower temperature causing decreased ovarian maturation rates and therefore decreased fecundity (Duyck & Quilici, 2002).
The present study aimed to test the prediction that the lifespan of C. rosa increases with altitude. We measured the lifespan of different populations of C. rosa along an altitudinal cline. For the different populations, we first measured the residual longevity of wild flies by the captive cohort approach (Carey et al., 2008). Because differences in residual longevity may imply different longevities, a different age structure, or both, we measured lifespan and compared the F1 generation from the same populations.
MATERIAL AND METHODS
COLLECTION SITES
We collected males and females of C. rosa from three sites along a transect of altitude (300, 600, and 900 m) in La Réunion island (Indian Ocean, 21°20′S, 55°15′E) in December 2007 (Table 1). Each collection site consisted of a Creole garden with many fruit species and no insecticide applications. The seasonal characteristics of the sites varies systematically from low to high elevation, with decreasing temperature and increasing rainfall with increasing altitude (Table 1).
Climatic parameters at the three study sites
| . | Altitude (m) . | ||
|---|---|---|---|
| 300 . | 600 . | 900 . | |
| Mean annual temperature (°C) | 21.9 | 19.5 | 18.0 |
| Minimum temperature (°C) | 11.2 | 8.7 | 6.2 |
| Maximum temperature (°C) | 33.4 | 31.5 | 29.6 |
| Mean annual rainfall (mm) | 1100 | 1400 | 1700 |
| . | Altitude (m) . | ||
|---|---|---|---|
| 300 . | 600 . | 900 . | |
| Mean annual temperature (°C) | 21.9 | 19.5 | 18.0 |
| Minimum temperature (°C) | 11.2 | 8.7 | 6.2 |
| Maximum temperature (°C) | 33.4 | 31.5 | 29.6 |
| Mean annual rainfall (mm) | 1100 | 1400 | 1700 |
Climatic parameters at the three study sites
| . | Altitude (m) . | ||
|---|---|---|---|
| 300 . | 600 . | 900 . | |
| Mean annual temperature (°C) | 21.9 | 19.5 | 18.0 |
| Minimum temperature (°C) | 11.2 | 8.7 | 6.2 |
| Maximum temperature (°C) | 33.4 | 31.5 | 29.6 |
| Mean annual rainfall (mm) | 1100 | 1400 | 1700 |
| . | Altitude (m) . | ||
|---|---|---|---|
| 300 . | 600 . | 900 . | |
| Mean annual temperature (°C) | 21.9 | 19.5 | 18.0 |
| Minimum temperature (°C) | 11.2 | 8.7 | 6.2 |
| Maximum temperature (°C) | 33.4 | 31.5 | 29.6 |
| Mean annual rainfall (mm) | 1100 | 1400 | 1700 |
LIFESPAN MEASUREMENT
In each site, males and females fruit flies were collected for one day using 20 ‘Tephri-traps’ (Sorygar) with ‘3-lures’ (Suterra), a nitrogen-based food that is attractive for both sexes of various Ceratitis spp., but is more effective for females than males (Epsky et al., 1999). These live-caught flies were then transported to the laboratory. For each site, 92 flies (46 males and 46 females) were placed in individual containers for mortality measurement, whereas the remaining flies (N = 100–200) were placed together in a cage (30 × 30 × 30 cm) to construct the F1 cohort. In each cage, an egg laying device with spaced holes containing a piece of Citrus was used to collect eggs. Larvae were reared on an artificial diet (Duyck & Quilici, 2002). After adult emergence from pupae, 92 flies (46 males and 46 females) were placed in individual cages for mortality measurement. In total (F0 + F1), 552 flies were observed individually.
The experimental procedure was conducted in accordance with standard methods for the study of Tephtitidae longevity (Carey, 2003). The present study was conducted in the laboratory under a 12 : 12 h light/dark cycle at 25 ± 1 °C and 65 ± 10% relative humidity. Light was provided by daylight tubes. Individual cages consisted of a transparent plastic cup (height 12 cm, base diameter 5 cm, top diameter 7.5 cm), which was placed upside down, and glued to the lid of a plastic Petri dish (diameter 9 cm) with adult food [a mixture of yeast hydrolyzate (ICN Biochemicals) and sugar, 1 : 4] and water. Adult food was supplied ad libitum on the floor of the cage, and water was provided by a cotton wick that passed through a small hole in the Petri dish lid to an underlying Petri dish base, which was filled with water. A lateral window covered with mesh was perforated on the cup's side for ventilation. Mortality in each individual cage was recorded daily.
CALCULATIONS AND STATISTICAL ANALYSIS
Life expectancy at birth was calculated as
where lx is the fraction of the cohort alive at age x (Carey, 2001). Confidence intervals for life expectancy were estimated as the 2.5th and 97.5th percentiles of a bootstrap distribution resampled 1000 times (Efron & Tibshirani, 1993; Caswell, 2001).
After verification of normality, data longevities of the F0 and F1 generations were subjected to a two-way analysis of variance (ANOVA) that included the effects of the sex (males, females), altitude (300, 600, and 900 m), and interactions between the two factors.
RESULTS
For the F0 generation, ANOVA showed a significant effect of altitude and of interaction between sex and altitude, whereas no effect of sex on longevity was observed (Table 2). To further understand the effect of altitude on longevity, we compared the model with sex only to the complete model with sex, altitude, and interaction. This gave a global effect of altitude and sex × altitude on longevity, which was highly significant (F4,270 = 3.54, P = 0.008).
Analysis of variance tables for the captive cohort F0 (a) and the F1 generation. Significant effects (P < 0.05) are indicated in bold
| Source of variance . | d.f. . | Sum of squares . | Mean square . | F . | P . |
|---|---|---|---|---|---|
| Captive cohort F0 | |||||
| Sex | 1 | 3 107 | 3 107 | 0.79 | 0.373 |
| Altitude | 2 | 30 221 | 15 111 | 3.87 | 0.022 |
| Sex × Altitude | 2 | 25 196 | 12 598 | 3.22 | 0.041 |
| Residuals | 270 | 1 055 246 | |||
| F1 generation | |||||
| Sex | 1 | 3 087 | 3 087 | 0.38 | 0.5386 |
| Altitude | 2 | 170 589 | 85 294 | 10.48 | < 0.0001 |
| Sex × Altitude | 2 | 12 158 | 6 079 | 0.75 | 0.4749 |
| Residuals | 270 | 2 198 096 | 8 141 |
| Source of variance . | d.f. . | Sum of squares . | Mean square . | F . | P . |
|---|---|---|---|---|---|
| Captive cohort F0 | |||||
| Sex | 1 | 3 107 | 3 107 | 0.79 | 0.373 |
| Altitude | 2 | 30 221 | 15 111 | 3.87 | 0.022 |
| Sex × Altitude | 2 | 25 196 | 12 598 | 3.22 | 0.041 |
| Residuals | 270 | 1 055 246 | |||
| F1 generation | |||||
| Sex | 1 | 3 087 | 3 087 | 0.38 | 0.5386 |
| Altitude | 2 | 170 589 | 85 294 | 10.48 | < 0.0001 |
| Sex × Altitude | 2 | 12 158 | 6 079 | 0.75 | 0.4749 |
| Residuals | 270 | 2 198 096 | 8 141 |
Analysis of variance tables for the captive cohort F0 (a) and the F1 generation. Significant effects (P < 0.05) are indicated in bold
| Source of variance . | d.f. . | Sum of squares . | Mean square . | F . | P . |
|---|---|---|---|---|---|
| Captive cohort F0 | |||||
| Sex | 1 | 3 107 | 3 107 | 0.79 | 0.373 |
| Altitude | 2 | 30 221 | 15 111 | 3.87 | 0.022 |
| Sex × Altitude | 2 | 25 196 | 12 598 | 3.22 | 0.041 |
| Residuals | 270 | 1 055 246 | |||
| F1 generation | |||||
| Sex | 1 | 3 087 | 3 087 | 0.38 | 0.5386 |
| Altitude | 2 | 170 589 | 85 294 | 10.48 | < 0.0001 |
| Sex × Altitude | 2 | 12 158 | 6 079 | 0.75 | 0.4749 |
| Residuals | 270 | 2 198 096 | 8 141 |
| Source of variance . | d.f. . | Sum of squares . | Mean square . | F . | P . |
|---|---|---|---|---|---|
| Captive cohort F0 | |||||
| Sex | 1 | 3 107 | 3 107 | 0.79 | 0.373 |
| Altitude | 2 | 30 221 | 15 111 | 3.87 | 0.022 |
| Sex × Altitude | 2 | 25 196 | 12 598 | 3.22 | 0.041 |
| Residuals | 270 | 1 055 246 | |||
| F1 generation | |||||
| Sex | 1 | 3 087 | 3 087 | 0.38 | 0.5386 |
| Altitude | 2 | 170 589 | 85 294 | 10.48 | < 0.0001 |
| Sex × Altitude | 2 | 12 158 | 6 079 | 0.75 | 0.4749 |
| Residuals | 270 | 2 198 096 | 8 141 |
For the F1 generation, ANOVA showed a strong effect of altitude, whereas no effect of sex or of sex × altitude was observed on longevity (Table 2).
Differences in life expectancies among populations were substantial, in the range 116–165 days for males and 106–173 days for females (Table 3). The life expectancy of F0 males showed a strong increase with increasing altitude, whereas no differences in the life expectancy of F0 females were observed. For F1 males and females, a higher life expectancy was observed at 900 m compared to 300 and 600 m.
Adult life expectancy (at capture for F0, at birth for F1) (days)
| Generation . | Sex . | Altitude (m) . | |||||
|---|---|---|---|---|---|---|---|
| 300 . | 600 . | 900 . | |||||
| F0 | Male | 116 | (101, 129) | 141 | (123, 159) | 165 | (147, 184) |
| Female | 146 | (128, 162) | 147 | (128, 165) | 148 | (129, 168) | |
| F1 | Male | 130 | (105, 154) | 117 | (90, 143) | 165 | (141, 188) |
| Female | 106 | (81, 130) | 113 | (85, 145) | 173 | (147, 201) | |
| Generation . | Sex . | Altitude (m) . | |||||
|---|---|---|---|---|---|---|---|
| 300 . | 600 . | 900 . | |||||
| F0 | Male | 116 | (101, 129) | 141 | (123, 159) | 165 | (147, 184) |
| Female | 146 | (128, 162) | 147 | (128, 165) | 148 | (129, 168) | |
| F1 | Male | 130 | (105, 154) | 117 | (90, 143) | 165 | (141, 188) |
| Female | 106 | (81, 130) | 113 | (85, 145) | 173 | (147, 201) | |
Confidence intervals were estimated as the 2.5th and 97.5th percentiles of a bootstrap distribution resampled 1000 times (Efron & Tibshirani, 1993; Caswell, 2001).
Adult life expectancy (at capture for F0, at birth for F1) (days)
| Generation . | Sex . | Altitude (m) . | |||||
|---|---|---|---|---|---|---|---|
| 300 . | 600 . | 900 . | |||||
| F0 | Male | 116 | (101, 129) | 141 | (123, 159) | 165 | (147, 184) |
| Female | 146 | (128, 162) | 147 | (128, 165) | 148 | (129, 168) | |
| F1 | Male | 130 | (105, 154) | 117 | (90, 143) | 165 | (141, 188) |
| Female | 106 | (81, 130) | 113 | (85, 145) | 173 | (147, 201) | |
| Generation . | Sex . | Altitude (m) . | |||||
|---|---|---|---|---|---|---|---|
| 300 . | 600 . | 900 . | |||||
| F0 | Male | 116 | (101, 129) | 141 | (123, 159) | 165 | (147, 184) |
| Female | 146 | (128, 162) | 147 | (128, 165) | 148 | (129, 168) | |
| F1 | Male | 130 | (105, 154) | 117 | (90, 143) | 165 | (141, 188) |
| Female | 106 | (81, 130) | 113 | (85, 145) | 173 | (147, 201) | |
Confidence intervals were estimated as the 2.5th and 97.5th percentiles of a bootstrap distribution resampled 1000 times (Efron & Tibshirani, 1993; Caswell, 2001).
DISCUSSION
Our prediction of increase in lifespan with higher altitude is partly verified in the present study. For field collected flies (F0), the average remaining lifespan of males monotonically increased with altitude, whereas the remaining lifespan of females was not influenced by the collection place. For the F1 generation, the longevity of both males and females of the highest-altitude (900 m) population was longer than for the two other lower-altitude populations (300 and 600 m). Because distances among sites are relatively low, gene flow among C. rosa populations may occur (Baliraine et al., 2004). However, differences in longevity among the F1 populations are assumed to have a genetic component. This relationship between altitude and lifespan may be explained by the effect of temperature on reproduction. Reproductive schedules in insects are linked to temperature: lower temperature, which is characteristic of high-altitude sites, generally slows down reproduction. This is the case for C. rosa, which show decreasing ovarian maturation rates, and therefore fecundity, with lower altitude (Duyck & Quilici, 2002). Because of the strong trade-off between reproduction and longevity, we therefore observed a longer lifespan for the high-altitude populations. Early in the 20th Century, Ripley & Hepburn (1930) observed that, at high altitudes in South Africa, the Natal fruit fly, was overwintering at the adult stage.
Other hypotheses could also explain such a pattern. For example, different predation rates may explain variation in senescence rates (Reznick et al., 2004; Reznick et al., 2006). Populations subjected to a lower predation rate may evolve a longer lifespan. This means that, in our case study, populations from the high-altitude site would have been exposed to lower predation rates. Although data are lacking on adult C. rosa natural enemies, such as ants, spiders or wasps, it is likely that they might be more abundant in warm low altitude areas. In addition, larval host-fruits and adult food have been shown to have effects on the life-history traits of Tephritidae, including longevity and fecundity (Brévault, Duyck & Quilici, 2008; Duyck et al., 2008). Because different altitudes result in different habitats with probably different host species and adult food sources, the differential longevities among sites may be also partly explained by these factors. These different hypotheses (i.e. temperature, natural enemies, and resources) may be combined to explain the observed effects of altitude.
Few studies have examined the effect of altitude on longevity in insect species. By contrast to the conclusions of the present study, Tatar et al. (1997) showed an inverse pattern of decreasing longevity with increasing altitude in Melanoplus grasshoppers. However, their findings may be a result of the species studied as well as the location where these species have evolved, leading to the requirement of accelerated reproductive schedules during the summer because of the severe winter conditions at the elevated sites. The results of the present study suggesting an increased longevity with altitude are in accordance with those obtained by Karl & Fischer (2009). Comparing populations of the butterfly Lycaena tityrus (Lycaenidae) from low and high altitudes, these authors showed an increased lifespan with higher altitude when insects were fed on a full diet. This trend of greater longevity in high-altitude populations has also been shown for Drosophila buzzatii Patterson & Wheeler (1942) (Norry et al., 2006) and for some amphibians (Morrison & Hero, 2003; Morrison, Hero & Browning, 2004).
By contrast to the conclusions of the present study, investigations in birds from a tropical warm environment have reported a longer lifespan compared to birds from a temperate cold environment (Fogden, 1972; Møller, 2007; Wiersma et al., 2007). This may be explained by the fact that, contrary to insects, birds are homeothermic organisms. In cold environments, birds likely have evolved metabolic machinery with a high thermogenic capacity, which may mandate a high basal metabolic rate (Wiersma et al., 2007). Møller (2007) showed that the senescence rate among bird species increases with increasing latitude, and therefore with decreasing temperature. This relationship in birds is explained by the hypothesis that tropical birds have evolved life-history traits indicative of a slow rate of ageing linked to a reduced basal metabolic rate (Wiersma et al., 2007).
Surprisingly, for some of the cohorts, life expectancy was longer for the F0 generation than the mean captive lifespan of the F1 generation. A possible interpretation for this might be that adults trapped in the field (F0) were generally young and their early experience in the field was beneficial and increased their longevity. For example adults in the field may have found some nutrients that we did not provide under laboratory conditions. This is in accordance with the findings of Carey et al. (2008) who showed that the lifespans of a fraction of once-wild flies would exceed the lifespans of any never-wild flies. It was hypothesized that there is a window in the early adulthood of the medfly when the presence of certain amounts or types of bacteria in the diet is important and that wild flies have access to these bacteria, whereas reference flies in the laboratory do not, as shown for Drosophila (Brummel et al., 2004). Another possible explanation relates to demographic selection arguments (Vaupel & Carey, 1993). Field flies may have died easily during a certain period in their early life and most of the captured flies had already passed that period. Therefore, captured F0 flies could represent a selected cohort for which all short-lived flies have already died before the beginning of the experiment. However, this selection argument would change the frequency of the older flies but not their absolute lifespans – see Carey et al. (2008) for a complete discussion on this point.
A significant interaction between sex and altitude on longevity has been shown for the F0 generation because there is no effect of altitude on females, whereas increasing longevity is observed with increasing altitude in males. Differences between the F0 and F1 generations may reflect differences in longevity, in age structure, or both. The data obtained in the present study suggest that the age structure in the trap (F0) is modified compared to a population at equilibrium. For example, Kouloussis et al. (2009) showed that the age structure of fruit flies may be modified by both season and trapping method. The unchanged longevity for the F0 females might be explained by the response of females to the ‘3-lures’ attractant. In other Tephritidae species, the response of females to various attractants was shown to depend on their physiological stage (Kendra et al., 2005; Rousse et al., 2005). Although the different female populations originated from different habitats, their average physiological stage would be similar, and therefore their residual lifespan under laboratory conditions was not different.
Very few studies are available on the effect of altitude on longevity. Our prediction of an increase in lifespan with higher altitude has been partly verified in the present study and could invoke a temperature trade-off with reproduction. The effects of altitude variation in lifespan not only have theoretical implications for the understanding of lifespan evolution, but also have practical implications regarding the possible adaptation of ectotherms to climate warming (Tewksbury, Huey & Deutsch, 2008).
ACKNOWLEDGEMENTS
This research was supported by NIA/NIH grants P01 AG022500-01 and P01 AG08761-10. The research of Jane-Ling Wang is partially supported by a NIH grant 1R01AG025218-01. We thank Mathilde HOARAU, Serge GLENAC, and Jim PAYET for technical assistance and the anonymous referees for their helpful suggestions on the manuscript.