Abstract
Invasive species are a global scourge and often negatively impact native species. Understanding the expansion and dispersal limits of these species is essential. As previous studies have demonstrated increased locomotor performance for populations at the edge of the range of expanding populations, studies of locomotion including the anatomical and physiological traits underlying dispersal capacity are of interest. We focus here on an invasive population of Xenopus laevis introduced in France nearly forty years ago. Previous studies have demonstrated differences in mobility between populations from the centre and the edge of the invasive range, with individuals from the range edge possessing a higher endurance capacity. We test here whether range‐edge frogs show anatomical differences in organs or muscles underlying these observed differences of performance. We dissected 10 males and 10 females from central and range‐edge sites (40 animals in total) and measured the mass of their organs and the mass, the length, and the physiological cross‐sectional area (PCSA) of 28 hind limb muscles. Our results show anatomical differences with individuals from the range edge possessing heavier, longer and more forceful muscles. Moreover, females from the range edge had a heavier heart but lighter stomach than those of the centre of the range. Future studies comparing the morphology between native and invasive populations in other regions or for other species will be especially insightful to better understand the possible adaptive changes in invasive populations and the limits on dispersal capacity.
Keywords: anatomy, dispersal, frog, invasive species, locomotion, trade‐offs
Invasive Xenopus from the periphery of the range invest more in locomotor muscle, resulting in greater locomotor performance. This investment in locomotion has consequences on other organs, likely due to energetic trade‐offs.

Introduction
Invasive species are often introduced by human activities and can pose a significant threat for biodiversity (Alford & Richards, 1999; Gibbons et al. 2000; Clavero & García‐Berthou, 2005). Invaders often have dispersal traits that allow them to spread quickly, rapidly invading new ecosystems and often negatively affecting local species. Locomotion is a mechanical action defined by cycles of muscle contraction made possible by the metabolic energy produced. The architecture of a muscle is critical, as it determines its ability to produce and maintain power (Fukunaga et al. 1992; Burkholder et al. 1994). Blood flow rates and oxygen transfer also play a major role in locomotion (especially for endurance capacity) and their efficiency is directly affected by the cardiovascular system (i.e. the size of the heart and lungs; Farrell et al. 1990; Young et al. 2002). Moreover, energy supply to the muscles is limited by the digestive system, whose size is related to the maximal rate of energy assimilation (Weiner, 1992). Active dispersal through locomotion is thus determined by central organs (heart, lungs, digestive system), which provide energy and oxygen to the musculoskeletal system. Furthermore, allocation trade‐offs (Van Noordwijk & de Jong, 1986; Stearns, 1989) may come into play. If more resources are invested into dispersal, this may come at a cost to other traits such as reproductive output (Mole & Zera, 1993; Veasey et al. 2001; Hughes et al. 2003; Courant et al. 2017). Understanding these trade‐offs and how they can lead to an increase in dispersal capacity is therefore crucial in the management of invasive species.
Xenopus laevis is an anuran native from sub‐Saharan Africa that has become invasive on a global scale (Tinsley et al. 2009). This species impacts local fauna (Lafferty & Page, 1997; Lobos & Jaksic, 2005; Eggert & Fouquet, 2006; Robert et al. 2007; Lillo et al. 2011; Courant et al. 2018a,2018b) and their range has been suggested to likely increase under different climate change scenarios (Ihlow et al. 2016), making them of prime concern. Xenopus laevis was introduced in the department of Deux‐Sèvres, France, in the late 1980s (Fouquet, 2001). Their range has been increasing ever since and encompasses more than 207 km² (Measey et al. 2012), with a dispersal rate estimated at 0.5–2 km a year (Grosselet et al. 2006). Previous studies have shown that individuals at the dispersal front show a higher in vivo endurance capacity and a lower standard metabolic rate (SMR) than individuals from populations near the centre of the range (Louppe et al. 2017, 2018). Moreover, animals at the dispersal front show a lower investment in reproduction compared with animals from the centre of the range (Courant et al. 2017). However, the anatomical traits underlying the differences in locomotor performance and dispersal capacity remain poorly understood.
Leg length has been shown to be responsible for 77% of the inter‐individual variation in absolute maximal jump distance in Pelophylax kl. esculentus (Tejedo et al. 2000), suggesting that overall limb dimensions may be one of the principal drivers of dispersal capacity. On the other hand, James et al. (2005) found that a combination of the mass of the gastrocnemius, the total mass of the hind limb muscles, and pyruvate‐kinase activity together explain 62% of the inter‐individual variation in maximum jump distance in Hypsiboas bischoffi. This suggests that, in addition to variation in overall limb length variation, muscle mass and muscle contractile properties may also drive variation in dispersal capacity. Xenopus laevis relies mainly on aquatic locomotion but has been observed to migrate overland with maximum direct observed dispersal distances of up to 2 km (Measey, 2016). Consequently, differences in dispersal capacity between individuals from the centre and the front of the range should be reflected in traits that enhance dispersal capacity. Hind limb length has previously been demonstrated to be greater, for example, in animals from the range edge (Louppe et al. 2017). However, whether other anatomical differences exist remains to be tested.
Here, we compare the architecture of hind limb muscles and the mass of the major organs between individuals of X. laevis from the centre and the periphery of the range in France. As dispersal‐promoting traits should be selected for in range‐edge individuals (Chuang & Peterson, 2016), we predict differences in the force‐generating capacity of the limb muscles for range‐edge frogs. Moreover, we predict that organs involved in promoting sustained activity such as lungs or heart would be larger in animals from the range edge. Finally, we predict relatively larger muscles in males than females, given the known differences in size‐corrected performance between males and females in Xenopus frogs (Herrel et al. 2012).
Materials and methods
Animals and dissections
Xenopus laevis (n = 40) were sampled in April 2016 in the department of Deux‐Sèvres, France, euthanised as required by French law, fixed in formaldehyde, and stored in a 70% aqueous ethanol solution in the laboratory of Comparative Anatomy of the National Museum of Natural History in Paris, France. Forty animals were dissected, 10 males and 10 females from the centre of the range and 10 males and 10 females from the periphery of the range. Animals were dissected and organs were removed from the abdomen including the heart, the liver, the stomach, the lungs and the kidneys. Next we isolated 28 hind limb muscles: coccygeosacralis, coccygeoiliacus, iliacus externus, iliacus internus, tensor fascia latae, sartorius, glutaeus maximus, cruralis, semitendinosus, semimembranosus, gracilis major, gracilis minor, iliofemoralis, iliofibularis, adductor magnus, adductor longus, gemellus, pectineus, obturator internus, obturator externus, quadratus femoris, peroneus, tibialis anticus, tibialis posticus, gastrocnemius, extensor cruris, flexor tarsi anterior, flexor tarsi posterior. Muscles were identified and named following the nomenclature of Gaupp (1896). Muscles were stored in tubes filled with 70% ethanol.
Measurements
After removal of the excess ethanol, organs and muscles were weighed using an electronic balance (Mettler AE100; 109 g/0.1 mg). Muscle connective tissue was dissolved by placing the muscles in a petri dish with a 30% aqueous nitric acid (HNO3 30%) solution for 24–48 h. Afterwards, the nitric acid solution was removed and replaced with 50% aqueous glycerol (C3H8O3) to arrest the acid digestion. Muscle fibres were teased apart and placed on a black background with a scale. Twenty fibres were photographed for each muscle and measured using imagej 1.50i (Wayne Rasband, National Institutes of Health, USA). The mean fibre length was then calculated and used in our estimation of physiological cross‐sectional area (PCSA).
A muscular density of 1.06 g.cm−3 (Mendez & Keys, 1960) was used.
As some muscles (nine of 1120) reacted badly to nitric acid digestion, we were unable to obtain measurements of their fibre length. As fibre length scaled with snout‐vent length for all muscles, we used a linear regressions of fibre length on snout‐vent length (svl) to estimate the fibre lengths for these nine muscles.
Following previous authors (Calow & Alexander, 1973; Kargo & Rome, 2002; Přikryl et al. 2009) and our dissections we grouped our 28 muscle variables into 10 functional groups (Fig. 1): femur protractor (iliacus externus, iliacus internus, iliofemoralis), femur retractors (gemellus, obturator externus, semimembranosus, gracilis major, gracilis minor, iliofibularis), knee extensors (tensor fascia latae, cruralis, glutaeus maximus, extensor cruris), ankle extensors (gastrocnemius, tibialis posticus), knee flexors (iliofibularis, semitendinosus), ankle flexors (tibialis anticus, peroneus, flexor tarsi anterior, flexor tarsi posterior), femur adductors (adductor magnus, adductor longus, sartorius), gliding of the ilium along the sacrum (coccygeoiliacus), rotation of the femur (obturator internus), and stabilisers (ilium‐urostyle: coccygeosacralis; hip: pectineus, quadratus femoris). The mass and the PCSA of each muscle in a group were added to calculate the summed mass and PCSA. The mean fibre length from all muscles in a group was also calculated (Table 1).
Figure 1.

Schematic drawing of the 28 hind limb muscles dissected. Colours represent functional groups. al, adductor longus; am, adductor magnus; ci, coccygeoiliacus; cr, cruralis; cs, coccygeosacralis; ec, extensor cruris; fta, flexor tarsi anterior; ftp, flexor tarsi posterior; ga, gastrocnemius; ge, gemellus; gm, glutaeus maximus; gr, gracilis major and minor; ie, iliacus externus; if, iliofemoralis; ifi, iliofibularis; ii, iliacus internus; oe, obturator externus; oi, obturator internus; pc, pectineus; pr, peronaeus; qu, quadratus femoris; sa, sartorius; sm, semimembranosus; st, semitendinosus; ta, tibialis anticus; tf, tensor fascia latae; tp, tibialis posticus.
Table 1.
Raw mean values ± standard deviations of the mass, length, and PCSA of each functional muscle groups in Xenopus laevis.
| n | fpro mass (g) | fretra mass (g) | ke mass (g) | ae mass (g) | kf mass (g) | af mass (g) | fadd mass (g) | frot mass (g) | igliding mass (g) | stab mass (g) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Centre | 20 | 0.90 ± 0.4 | 0.62 ± 0.29 | 1.32 ± 0.58 | 1.16 ± 0.52 | 0.63 ± 0.25 | 0.49 ± 0.2 | 0.82 ± 0.36 | 0.014 ± 0.014 | 0.21 ± 0.12 | 0.18 ± 0.09 |
| Periphery | 20 | 0.89 ± 0.46 | 0.63 ± 0.25 | 1.3 ± 0.6 | 1.19 ± 0.61 | 0.59 ± 0.28 | 0.5 ± 0.23 | 0.78 ± 0.34 | 0.010 ± 0.006 | 0.18 ± 0.08 | 0.17 ± 0.07 |
| n | fpro length (cm) | fretra length (cm) | ke length (cm) | ae length (cm) | kf length (cm) | af length (cm) | fadd length (cm) | frot length (cm) | igliding length (cm) | stab length (cm) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Centre | 20 | 1.54 ± 0.31 | 1.11 ± 0.18 | 1.27 ± 0.14 | 1.04 ± 0.11 | 1.13 ± 0.21 | 1.22 ± 0.15 | 1.58 ± 0.29 | 0.33 ± 0.07 | 1.83 ± 0.33 | 0.38 ± 0.08 |
| Periphery | 20 | 1.54 ± 0.32 | 1.19 ± 0.15 | 1.28 ± 0.17 | 1.05 ± 0.16 | 1.21 ± 0.25 | 1.29 ± 0.15 | 1.65 ± 0.23 | 0.32 ± 0.10 | 2.15 ± 0.35 | 0.41 ± 0.08 |
| n | fpro PCSA (cm²) | fretra PCSA (cm²) | ke PCSA (cm²) | ae PCSA (cm²) | kf PCSA (cm²) | af PCSA (cm²) | fadd PCSA (cm²) | frot PCSA (cm²) | Igliding PCSA (cm²) | stab PCSA (cm²) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Centre | 20 | 0.38 ± 0.11 | 0.43 ± 0.16 | 0.86 ± 0.32 | 0.76 ± 0.31 | 0.5 ± 0.14 | 0.34 ± 0.09 | 0.43 ± 0.12 | 0.04 ± 0.04 | 0.10 ± 0.04 | 0.82 ± 0.34 |
| Periphery | 20 | 0.39 ± 0.15 | 0.41 ± 0.13 | 0.85 ± 0.31 | 0.76 ± 0.27 | 0.44 ± 0.17 | 0.34 ± 0.13 | 0.39 ± 0.12 | 0.03 ± 0.02 | 0.08 ± 0.03 | 0.70 ± 0.24 |
ae, ankle extension; af, ankle flexion; fadd, femur adductor; fpro, femur protractor; fretra, femur retractor; frot, femur rotation; igliding, ilium gliding; ke, knee extension; kf, knee flexion; stab, stabilisers.
Note that svl was not taken into account.
Statistical analyses
Each measurement was log10‐transformed before analyses to fulfil the assumptions of normality and homoscedasticity. The significance threshold was set at α = 0.05. All analyses were performed using SPSS V.23 (SPSS Inc., Chicago, IL, USA). Multivariate analyses of covariance (mancova) coupled to univariate analyses of covariance were performed on the log10‐transformed organ masses with log10‐ transformed snout‐vent length as a covariate to test for differences between centre and edge individuals and between the two sexes. Next, three different mancovas coupled to univariate analyses of covariance were performed on the log10‐transformed mass, length and PCSA data for the different functional groups, with sex and locality as fixed factors and the log10‐transformed snout‐vent length as a covariate.
Results
Organ mass
The mancova detected significant effects of SVL (F 3,10 = 29.6, P < 0.001), sex (F 3,10 = 3.39, P = 0.015) and locality (F 3,10 = 8.73, P < 0.001) but no interaction between sex and locality (F 3,10 = 1.57, P = 0.19). Given the significant sex effect we then tested for an effect of locality for each sex separately. For females, the heart and the stomach differed between the two localities (heart: F 1,10 = 6.1, P = 0.02; stomach: F 1,10 = 4.81, P = 0.04), with individuals from the periphery having a larger heart and individuals from the centre having a larger stomach (Fig. 2). Males showed significant differences in the mass of the liver (F 1,10 = 6.61, P = 0.02), with individuals from the centre having a larger liver (Fig. 2).
Figure 2.

Organ mass corrected by snout‐vent length for two populations and each sex. Symbols represent means ± standard errors. Circles represent females and squares, males. Filled symbols represent animals from the centre of the invasive range, open symbols depict the animals from the periphery. An asterisk linking two data points highlights statistically significant differences (P < 0.05).
Muscle architecture
The mancova on the mass of the functional groups showed a significant effect of SVL (F 3,10 = 35, P < 0.001) sex (F 3,10 = 2.4, P = 0.03) and locality (F 3,10 = 2.8, P = 0.01). The interaction between sex and locality was not significant (interaction: F 3,10 = 0.36, P = 0.95). Tests of between subject effects showed that locality had a significant effect on femur retractors (F 1,20 = 12, P < 0.01), both extensor groups (knee extensors: F 1,20 = 7, P < 0.01; ankle extensors: F 1,20 = 11, P < 0.01), and the ankle flexors (F 1,20 = 8.2, P < 0.01). Individuals from the periphery had heavier muscles than the ones from the centre (Fig. 3A). The sex effect was significant for femur retractors (F 1,20 = 4.6, P = 0.04), knee and ankle extensors, knee and ankle flexors (knee extensors: F 1,20 = 9.4, P < 0.01; ankle extensors: F 1,20 = 14, P < 0.01; knee flexors: F 1,20 = 4.3, P = 0.04; ankle flexors: F 1,20 = 7.6, P < 0.01) and femur adductors (F 1,20 = 7.7, P < 0.01). In each case, males had heavier muscles than females for a given size.
Figure 3.

(A) Summed mass of the 10 functional groups corrected by snout‐vent length for the two populations. (B) Average fibre length of the 10 functional groups corrected by snout‐vent length for the two populations. (C) Summed PCSA of the 10 functional groups corrected by snout‐vent length for the two populations. Symbols represent means ± standard errors. Filled symbols represent animals from the centre of the invasive range, open symbols animals from the periphery. An asterisk linking two data points highlights statistically significant differences (P < 0.05).
The mancova on the average fibre length was only significant for SVL and locality (SVL: F 3,10 = 14, P < 0.001; sex: F 3,10 = 1.4, P = 0.20; locality: F 3,10 = 4.9, P < 0.01; interaction: F 3,10 = 1.6, P = 0.15). Locality showed an effect on the fibre length of the femur retractors (F 1,20 = 7.9, P < 0.01), the ankle flexors (F 1,20 = 10, P < 0.01), the femur adductors (F 1,20 = 8.9, P < 0.01), the muscle responsible for the gliding of the ilium along the sacrum (F 1,20 = 28, P < 0.001), and the stabiliser group (F 1,20 = 9.6, P < 0.01), with individuals from the periphery having longer muscle fibres compared with the individuals from the centre (Fig. 3B). Only the femur protractors group showed a significant sex effect (F 1,20 = 6, P = 0.02), with males having longer muscle fibres in the protractors compared with females.
The mancova performed on summed PCSA of the functional groups showed significant effects of SVL and locality (SVL: F 3,10 = 18, P < 0.001; sex: F 3,10 = 1.4, P = 0.2; locality: F 3,10 = 3.9, P < 0.01; interaction: F 3,10 = 1, P = 0.4). Differences were significant for the ankle extensors (F 1,20 = 6.4, P = 0.016) and the muscle responsible for the gliding of the ilium along the sacrum (F 1,20 = 13.9, P < 0.01), with individuals from the periphery having more forceful ankle extensors but a less forceful muscle driving the gliding of the pelvis (Fig. 3C). Only the ankle extensors showed a significant sex effect (F 1,20 = 5, P = 0.03), with males having a higher PCSA of the ankle extensors compared with females.
Discussion
Differential investment in organ mass
Females from the periphery have a significantly larger heart than do females from the centre of the range. This result is in accordance with our a priori hypothesis suggesting that traits important for locomotor performance, and especially endurance, should be more developed in individuals from the range edge. Indeed, in humans, endurance training is known to cause a hypertrophy of the heart with an increase specifically in the left ventricular mass and volume (see George et al. 2012). In contrast, in males no differences in heart mass were observed between individuals from the centre and the periphery of the range. Unexpectedly, males have a heart that is similar in size to that of females from the periphery despite their smaller overall size. In general, male X. laevis have a more nomadic behaviour and move more than females irrespective of the population (Courant, 2017), possibly because males actively engage in mate‐searching, whereas females remain more sedentary. Females on the range edge, however, show higher endurance and move more than females from the centre (Courant, 2017), imposing constraints on endurance capacity and thus possibly also heart mass. Females from the centre of the range also have larger stomachs, and males a larger liver, than females and males from the periphery. The stomach and liver have multiple functions, primarily linked to digestion; however, the liver especially also plays a role in storing and producing energy and in detoxification. Although these functions are likely critical to all individuals, the reduced size of these organs in individuals of the periphery of the range may be a reflection of an energetic trade‐off where animals from the periphery do not have enough resources to invest in both locomotor‐related traits and other organs. This is in accordance with the results of an earlier study that demonstrated allocation trade‐offs in X. laevis from France, with animals on the range edge investing less in reproduction than those at the centre of the range (Courant et al. 2017).
Muscle architecture
For each type of measurement (mass, length, PCSA), individuals of the range edge had higher mean values, suggesting that they have heavier muscles with longer fibres, but also a greater physiological cross‐sectional area (Fig. 3A–C). Previous studies (Louppe et al. 2017, 2018) have shown that individuals from the periphery have a greater stamina and a lower standard metabolic rate (SMR) for their body size. Larger muscles with longer fibres should result in greater power output and faster contractile velocity, traits that likely enhance jumping performance (James et al. 2007). However, whether frogs from the periphery of the range show enhanced jumping burst performance remains to be tested. Given the known trade‐off between endurance and burst performance in the closely related species X. tropicalis (Herrel & Bonneaud, 2012b), this may not be the case. Future studies investigating the contractile physiology of the limb muscles in animals from the centre and the periphery of the range will be important to better understand how the observed differences in muscle architecture may result in greater endurance capacity in range‐edge frogs.
Interestingly, the ankle extensor group was one of the two functional groups to show differences in force generating capacity (PCSA) between the two localities (Fig. 3C). This functional group is composed of the gastrocnemius and the tibialis posticus, muscles known to be important during swimming and jumping (Richards & Biewener, 2007). Our findings suggest that animals on the range edge, in addition to showing more overland movements and having greater endurance capacity may also swim more. If so, the range expansion by following aquatic water courses may be a neglected dispersal strategy in these frogs. Future studies examining differences in swimming speed and endurance between individuals from the centre and from the periphery of the range would be needed to test this idea. The coccygeoiliacus muscle was the only muscle to show opposite results, with individuals from the centre showing larger muscles (Fig. 3C). The sliding of the pelvis caused by the contraction of the coccygeoiliacus muscle was suggested as an anti‐predator adaptation when animals are breathing at the surface of the water (Videler & Jorna, 1985). Our results suggest that the individuals from the centre may contract their body more quickly if they have to escape a predator when breathing at the surface of water. Studies involving high‐speed recordings of escape behaviour could be performed to test this idea. In addition to the observed differences between centre and periphery, some differences were observed between the sexes, with males typically having larger and more forceful muscles. Previous studies have shown that size‐corrected limb dimensions were greater for males than females in X. laevis (Louppe et al. 2017) or X. tropicalis (Herrel et al. 2012). Our muscle architecture results corroborate the sex differences in these morphological traits, which may explain the greater size‐corrected locomotor performance in males than females.
Although we have demonstrated significant differences in organ mass and muscle architecture between populations, the selective mechanisms underlying these differences remain poorly understood. Different processes such as natural selection, ‘spatial sorting’ (Shine et al. 2011), plasticity or epigenetic factors could all underlie the observed changes. Additional work is clearly needed to identify the role that these processes may play in driving the observed divergence in range‐edge frogs. Moreover, multiple environmental factors may have an impact on amphibians when they reach the adult stage (Álvarez & Nicieza, 2002; Měráková & Gvoždík, 2009). Previous studies highlighted that temperature, quantity of food, predation and desiccation during development may all have an effect on growth and hind limb size (Gomez‐Mestre et al. 2010; Tejedo et al. 2010). Knowing that hind limb length strongly impacts exertion capacity, swimming speed and jump force (Herrel & Bonneaud, 2012a,2012b; Herrel et al. 2012, 2014; Louppe et al. 2017) and understanding how environmental factors impact muscle development appears critical.
In summary, we demonstrated anatomical differences in range‐edge vs. range‐centre individuals of invasive French X. laevis. Our results show greater allocation to organs and muscles important to locomotion at the range edge. In contrast, animals from the centre of the range appear to invest more in the digestive system, possibly reflecting an allocation trade‐off. Future studies investigating the physiology of the locomotor muscles will be particularly insightful in linking the observed differences in muscle architecture to whole‐organism endurance capacity.
Acknowledgements
This research was funded by an ERA‐Net BiodivERsA grant INVAXEN, with the national funders ANR, DFG, BELSPO and FCT, as part of the 2013 BiodivERsA call for research proposals. INVAXEN ‘Invasive biology of Xenopus laevis in Europe: ecology, impact and predictive models’ project ANR‐13‐EBID‐0008‐01. Research and capture permits were provided by the Préfet of the Deux‐Sèvres department.
References
- Alford RA, Richards SJ (1999) Amphibian declines: A problem in applied ecology. Ann Rev Ecol Syst 30, 133–165. [Google Scholar]
- Álvarez D, Nicieza AG (2002) Effects of induced variation in anuran larval development on postmetamorphic energy reserves and locomotion. Oecologia 131, 186–195. [DOI] [PubMed] [Google Scholar]
- Burkholder TJ, Fingado B, Baron S, et al. (1994) Relationship between muscle fiber types and sizes and muscle architectural properties in the mouse hindlimb. J Morphol 221, 177–190. [DOI] [PubMed] [Google Scholar]
- Calow LJ, Alexander RMN (1973) A mechanical analysis of a hind leg of a frog (Rana temporaria). J Zool 171, 293–321. [Google Scholar]
- Chuang A, Peterson CR (2016) Expanding population edges: theories, traits, and trade‐offs. Global Change Biol 22, 494–512. [DOI] [PubMed] [Google Scholar]
- Clavero M, García‐Berthou E (2005) Invasive species are a leading cause of animal extinction. Trends Ecol Evol 20, 110. [DOI] [PubMed] [Google Scholar]
- Courant J (2017) Biologie de l'invasion de Xenopus laevis en Europe: adaptations physiologiques et effets écologiques. Dissertations. Ecole doctorale Sciences de la nature et de l'Homme. Evolution et écologie (Paris). [Google Scholar]
- Courant J, Secondi J, Bereiziat V, et al. (2017) Resources allocated to reproduction decrease at the range edge of an expanding population of an invasive amphibian. Biol J Linn Soc 122, 157–165. [Google Scholar]
- Courant J, Secondi J, Vollette J, et al. (2018a) Assessing impacts of the invasive Xenopus laevis on amphibians in western France. Amph Rept 39, 219–227. [Google Scholar]
- Courant J, Vollette E, Herrel A (2018b) Changes in the aquatic macro‐invertebrate communities through the expanding range of an invasive anuran. Food Webs 17, e00098. [Google Scholar]
- Eggert C, Fouquet A (2006) A preliminary biotelemetric study of a feral invasive Xenopus laevis population in France. Alytes 23, 144. [Google Scholar]
- Farrell AP, Johansen JA, Steffensen JF, et al. (1990) Effects of exercise training and coronary ablation on swimming performance, heart size, and cardiac enzymes in rainbow trout, Oncorhynchus mykiss . Canad J Zool 68, 1174–1179. [Google Scholar]
- Fouquet A (2001) Des clandestins aquatiques. Zamenis 6, 10–11. [Google Scholar]
- Fukunaga T, Roy RR, Shellock FG, et al. (1992) Physiological cross‐sectional area of human leg muscles based on magnetic resonance imaging. J Orthop Res 10, 928–934. [DOI] [PubMed] [Google Scholar]
- Gaupp E (1896) Anatomie des Frosches. I. Lehre vom Skelet und vom Muskelsystem. Braunschweig: Friedrich Vieweg und Sohn. [Google Scholar]
- George K, Whyte GP, Green DJ, et al. (2012) The endurance heart: acute stress and chronic adaptation. Br J Sports Med 46, 29–36. [DOI] [PubMed] [Google Scholar]
- Gibbons JW, Scott DE, Ryan TJ, et al. (2000) The global decline of reptiles, déjà vu amphibians. Bioscience 50, 653–666. [Google Scholar]
- Gomez‐Mestre I, Saccoccio VL, Iijima T, et al. (2010) The shape of things to come: linking developmental plasticity to post‐metamorphic morphology in anurans. J Evol Biol 23, 1364–1373. [DOI] [PubMed] [Google Scholar]
- Grosselet O, Thirion JM, Grillet P, et al. (2006) Le xénope lisse, une nouvelle espèce invasive en France. Le Courrier de la Nature 225, 22–27. [Google Scholar]
- Herrel A, Bonneaud C (2012a) Temperature dependence of locomotor performance in the tropical clawed frog, Xenopus tropicalis . J Exp Biol 215, 2465–2470. [DOI] [PubMed] [Google Scholar]
- Herrel A, Bonneaud C (2012b) Trade‐offs between burst performance and maximal exertion capacity in a wild amphibian, Xenopus tropicalis . J Exp Biol 215, 3106–3111. [DOI] [PubMed] [Google Scholar]
- Herrel A, Gonwouo LN, Fokam EB, et al. (2012) Intersexual differences in body shape and locomotor performance in the aquatic frog, Xenopus tropicalis . J Zool 287, 311–316. [Google Scholar]
- Herrel A, Vasilopoulou‐Kampitsi M, Bonneaud C (2014) Jumping performance in the highly aquatic frog, Xenopus tropicalis: sex‐specific relationships between morphology and performance. PeerJ 2, e661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hughes CL, Hill JK, Dytham C (2003) Evolutionary trade‐offs between reproduction and dispersal in populations at expanding range boundaries. Proc R Soc Lond B Biol Sci 270(Suppl 2), 147–150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ihlow F, Courant J, Secondi J, et al. (2016) Impacts of climate change on the global invasion potential of the African clawed frog Xenopus laevis . PLoS One 11, e0154869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- James RS, Wilson RS, de Carvalho JE, et al. (2005) Interindividual differences in leg muscle mass and pyruvate kinase activity correlate with interindividual differences in jumping performance of Hyla multilineata . Physiol Biochem Zool 78, 857–867. [DOI] [PubMed] [Google Scholar]
- James RS, Navas CA, Herrel A (2007) How important are skeletal muscle mechanics in setting limits on jumping performance? J Exp Biol 210, 923–933. [DOI] [PubMed] [Google Scholar]
- Kargo WJ, Rome LC (2002) Functional morphology of proximal hindlimb muscles in the frog Rana pipiens . J Exp Biol 205, 1987–2004. [DOI] [PubMed] [Google Scholar]
- Lafferty KD, Page CJ (1997) Predation on the endangered tidewater goby, Eucyclogobius newberryi, by the introduced African clawed frog, Xenopus leavis, with notes on the frog's parasites. Copeia 1997, 589–592. [Google Scholar]
- Lillo F, Furane FP, Valvo ML (2011) Can the introduction of Xenopus laevis affect native amphibian populations? Reduction of reproductive occurrence in presence of the invasive species. Biol Inv 13, 1533–1541. [Google Scholar]
- Lobos G, Jaksic FM (2005) The ongoing invasion of African clawed frogs (Xenopus laevis) in Chile: Causes of concern. Biodivers Conserv 14, 429–439. [Google Scholar]
- Louppe V, Courant J, Herrel A (2017) Differences in mobility at the range edge of an expanding invasive population of Xenopus laevis in the west of France. J Exp Biol 220, 278–283. [DOI] [PubMed] [Google Scholar]
- Louppe V, Courant J, Videlier M, et al. (2018) Differences in standard metabolic rate at the range edge versus the center of an expanding invasive population of Xenopus laevis in the West of France. J Zool 305, 163–172. [Google Scholar]
- Measey GJ (2016) Overland movement in African clawed frogs (Xenopus laevis): a systematic review. PeerJ 4, e2474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Measey GJ, Rödder D, Green SL, et al. (2012) Ongoing invasions of the African clawed frog, Xenopus laevis: a global review. Biol Inv 14, 2255–2270. [Google Scholar]
- Mendez J, Keys A (1960) Density and composition of mammalian muscle. Metabolism 9, 184–188. [Google Scholar]
- Měráková E, Gvoždík L (2009) Thermal acclimation of swimming performance in newt larvae: The influence of diel temperature fluctuations during embryogenesis. Funct Ecol 23, 989–995. [Google Scholar]
- Mole S, Zera AJ (1993) Differential allocation of resources underlies the dispersal‐reproduction trade‐off in the wing‐dimorphic cricket, Gryllys rubens . Oecologia 93, 121. [DOI] [PubMed] [Google Scholar]
- Přikryl T, Aerts P, Havelková P, et al. (2009) Pelvic and thigh musculature in frogs (Anura) and origin of anuran jumping locomotion. J Anat 214, 100–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richards CT, Biewener AA (2007) Modulation of in vivo muscle power output during swimming in the African clawed frog (Xenopus laevis). J Exp Biol 210, 3147–3159. [DOI] [PubMed] [Google Scholar]
- Robert J, Abramowitz L, Gantress J, et al. (2007) Xenopus laevis: a possible vector of Ranavirus infection? J Wildl Dis 43, 645–652. [DOI] [PubMed] [Google Scholar]
- Shine R, Brown GP, Phillips BL (2011) An evolutionary process that assembles phenotypes through space rather than through time. Proc Natl Acad Sci U S A 108, 5708–5711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stearns SC (1989) Trade‐offs in life‐history evolution. Funct Ecol 3, 259–268. [Google Scholar]
- Tejedo M, Semlitsch RD, Hotz H (2000) Differential morphology and jumping performance of newly metamorphosed frogs of the hybridogenetic Rana esculenta complex. J Herpetol 34, 201–210. [Google Scholar]
- Tejedo M, Marangoni F, Pertoldi C, et al. (2010) Contrasting effects of environmental factors during larval stage on morphological plasticity in post‐metamorphic frogs. Clim Res 43, 31–39. [Google Scholar]
- Tinsley R, Minter L, Measey J, et al. (2009) Xenopus laevis . The IUCN Red List of Threatened Species 2009: e.T58174A11730010. 10.2305/iucn.uk.2009.rlts.t58174a11730010.en. [DOI]
- Van Noordwijk AJ, de Jong G (1986) Acquisition and allocation of resources: their influence on variation in life history tactics. Am Nat 128, 137–142. [Google Scholar]
- Veasey JS, Houston DC, Metcalfe NB (2001) A hidden cost of reproduction: the trade‐off between clutch size and escape take‐off speed in female zebra finches. J Anim Ecol 70, 20–24. [Google Scholar]
- Videler J, Jorna J (1985) Functions of the sliding pelvis in Xenopus laevis . Copeia 1985, 251–254. [Google Scholar]
- Weiner J (1992) Physiological limits to sustainable energy budgets in birds and mammals: ecological implications. Trends Ecol Evol 7, 384–388. [DOI] [PubMed] [Google Scholar]
- Young LE, Marlin DJ, Deaton C, et al. (2002) Heart size estimated by echocardiography correlates with maximal oxygen uptake. Equine Vet J 34(S34), 467–471. [DOI] [PubMed] [Google Scholar]
