Skip to main content
  • Research article
  • Open access
  • Published:

Spatial mosaic evolution of snail defensive traits

Abstract

Background

Recent models suggest that escalating reciprocal selection among antagonistically interacting species is predicted to occur in areas of higher resource productivity. In a putatively coevolved interaction between a freshwater snail (Mexipyrgus churinceanus) and a molluscivorous cichlid (Herichthys minckleyi), we examined three components of this interaction: 1) spatial variation in two putative defensive traits, crushing resistance and shell pigmentation; 2) whether abiotic variables or frequency of molariform cichlids are associated with spatial patterns of crushing resistance and shell pigmentation and 3) whether variation in primary productivity accounted for small-scale variation in these defensive traits.

Results

Using spatial autocorrelation to account for genetic and geographic divergence among populations, we found no autocorrelation among populations at small geographic and genetic distances for the two defensive traits. There was also no correlation between abiotic variables (temperature and conductivity) and snail defensive traits. However, crushing resistance and frequency of pigmented shells were negatively correlated with molariform frequency. Crushing resistance and levels of pigmentation were significantly higher in habitats dominated by aquatic macrophytes, and both traits are phenotypically correlated.

Conclusion

Crushing resistance and pigmentation of M. churinceanus exhibit striking variation at small spatial scales often associated with differences in primary productivity, substrate coloration and the frequency of molariform cichlids. These local geographic differences may result from among-habitat variation in how resource productivity interacts to promote escalation in prey defenses.

Background

Spatial variation in defensive traits is common in many antagonistic interactions [13]. The geographic mosaic theory of coevolution suggests that variation in ecological factors may underlie this patchiness in the phenotypic outcome of interactions, resulting in cold and hotspots of coevolution [2, 4, 5]. Despite evidence for coevolutionary cold and hotspots, very little evidence exists on how ecological conditions may enhance or constrain coevolution between antagonists. One current model suggests that coevolution might be related to gradients in resource productivity [6], with hotspots of coevolutionary selection associated with areas of high prey abundance. In specialist predator-prey interactions, predators have the greatest influence on prey phenotypes in geographic areas where the prey is most abundant whereas the predator exerts weaker selection in areas where prey are less abundant. Conditions of high prey abundance can occur when the abiotic environment is most favorable for prey metabolism or prey resources are of high quality/abundance. In the current study, we examine the effect of abiotic and biotic factors on spatial variation in the evolution of putative defensive traits of the freshwater snail Mexipyrgus churinceanus.

Mexipyrgus churinceanus as well as its polymorphic fish predator Herichthys minckleyi are endemic to the isolated Cuatro Ciénegas valley in the Mexican Chihuahuan desert (Fig. 1) and exhibit putatively co-evolved phenotypes [79]. These phenotypes may currently be coevolving because Mexipyrgus exhibits striking examples of morphological differentiation in shell morphology and pigmentation among habitats [[1012]; Fig. 2]. Herichthys minckleyi is also unusual because this cichlid fish exhibits two alternative pharyngeal jaw morphologies [[13, 14]; Fig. 2]. In "papilliform" H. minckleyi, the gill arches are modified into a gracile pharyngeal jaw and this morph is specialized to shred aquatic plants and detritus [15]. Alternatively, "molariforms" possess enlarged crushing molariform teeth and robust pharyngeal muscles [16] and are extremely proficient at crushing M. churinceanus [15]. Molariform cichlids are the primary snail-crushing predator in Cuatro Ciénegas.

Figure 1
figure 1

Collecting sites of Mexipyrgus churinceanus from spring-fed habitats in the Cuatro Ciénegas valley located in the center of the Chihuahuan desert of northeastern Mexico. These pools and streams are arrayed around the Sierra de San Marcos that bisects the center of the valley. Population numbers are shown on the map and referred to in Table 1.

Figure 2
figure 2

Representative images (A-C) of the hydrobiid snail, Mexipyrgus churinceanus, collected from nearby populations to illustrate small scale variation in size and shell pigmentation. Herichthys minckleyi papilliforms (right figure D) exhibit gill arches modified into more gracile pharyngeal jaws with small muscles and pointed teeth that are ineffective at crushing snails while H. minckleyi molariforms (left figure D) have robust muscles and enlarged crushing teeth on their pharyngeal jaws that seem clearly modified to crush snails. Figure E portrays heterogeneity in habitats with Nymphaea (top) and without Nymphaea (bottom).

Given considerable spatial variation in shell pigmentation and morphology, we hypothesize that several types of snail defenses have evolved in response to predation by molariform H. minckleyi. For instance, cryptic coloration against different benthic substrates may minimize detection by molariform cichlids. The abundance of emergent aquatic vegetation, such as Nymphaea water lilies, is highly variable in these aquatic habitats, and may be primarily responsible for the coloration of the substrate. Darker substrates dominate in areas with dense Nymphaea stands and light, marl-colored substrates occur in the absence of Nymphaea (Fig. 2). Unpigmented M. churinceanus may be more cryptic and common in habitats without Nymphaea whereas, in heavily vegetated habitats, snails with extensive shell pigmentation may dominate because they effectively match these darker substrates.

Shell pigmentation is not the only defense M. churinceanus may exhibit in response to molariform predation. Crushing resistance is likely the most functionally important component of shell defense against molariform H. minckleyi [15] because it allows snails to resist predation once detected. Because previous studies of defensive traits in gastropods indicate that shell size and shape both influence crushing resistance [17, 18], we first examine whether size or shape is a better predictor of variation in crushing resistance. Next, we assess potential causes of spatial divergence in Mexipyrgus defensive traits. The abiotic characteristics of Cuatro Ciénegas may be unusually favorable for the production of elaborate snail shells. The spring-fed habitats are geothermally heated and high in dissolved minerals [7]. For mollusks, higher temperatures permit elaboration of their shells because calcium carbonate is less soluble in warmer water [19, 20]. Maintaining robust shells is also physiologically cheap in constant aquatic environments with elevated mineral content [20, 21] especially since Ca++ availability is correlated with the availability of other dissolved minerals in Cuatro Ciénegas [22]. We examined whether spatial variation in temperature and conductivity are positively correlated with snail defensive traits.

Alternatively, variation in shell strength might be primarily a response to biotic influences. We address whether spatial variation in snail defenses is associated with two biotic factors: molariform frequency and resource productivity. If molariform H. minckleyi predation is the primary force driving spatial variation in snail defensive traits, we might predict that snail populations with higher frequencies of molariforms should exhibit greater crushing resistance and pigmentation. We also assess whether habitats with greater primary productivity promote escalation of defensive snail phenotypes. We determine whether, in habitats with greater abundance of Nymphaea, Mexipyrgus exhibits more shell pigmentation and crushing resistance. For Mexipyrgus, variation in resource productivity is likely to be driven by the abundance of Nymphaea because in habitats with greater primary productivity, there is a greater abundance of bacteria and fungi in the soft substrates in which Mexipyrgus feeds (Johnson, unpublished results). Increased resource availability probably allows greater investment in costly shell material, leading to the prediction that hotspots may occur in areas with greater food resources for snails.

A critical assumption of these population-based measures of phenotypic divergence is that they are statistically independent. This assumption may be violated because nearby snail populations may experience similar predation pressure because cichlids are more mobile than these brooding snails. To address this issue we assess whether the similarity of shell defensive traits among nearby populations can be attributed to either geographic proximity or genetic similarity [2325]. Genealogical relationships within species based on geographic and genetic distances among populations can be used in conjunction with spatial autocorrelation approaches to determine whether defensive structures of nearby populations are positively autocorrelated. A lack of spatial autocorrelation suggests that defenses are distributed in a mosaic-like fashion across the landscape. If phenotypic divergence in crushing resistance and pigmentation is the result of predator-prey interactions with H. minckleyi, and this divergence occurs at very small spatial scales in a geographically mosaic fashion, we predict there will be no significant positive autocorrelation at small spatial and genetic distances. In the current study, we determine genetic distances between snail populations from a previously published study of mtDNA sequence variation in Mexipyrgus [26].

We address three questions concerning the evolution of defenses in Mexipyrgus. First, we examine spatial variation in two putative defensive traits, crushing resistance and shell pigmentation. Then, we tested whether abiotic or biotic variables account for spatial patterns of crushing resistance and shell pigmentation. Finally, we determine whether variation in primary productivity accounts for small-scale variation in these defensive traits.

Results

Spatial Variation of Shell Crushing Resistance and Pigmentation

Mean and standard errors of crushing resistance and shell size are presented in Table 1. The five linear morphological variables had high positive loadings (> 0.96) on the first principal component, and over 94% of the total variance was explained by this first PC, which we interpret as a measure of overall shell size. Overall shell size (PC1 scores) showed considerable variation among populations (Table 1). Covariance PCA analysis revealed one major shape component representing a contrast between aperture size and spire length. This shape component explained about 5% of the total variance, and individuals with positive scores for this component have relatively large apertures and shortened spires. Multiple regression analysis of crushing resistance revealed that shell size and shape were both significantly positively related to crushing resistance. Shell size explained most of the variation in crushing resistance (standardized β = 0.662, df = 1, 503; R2 = 43.9%, p < 0.0001), whereas shell shape explained little variation in crushing resistance (standardized β = 0.077, df = 2, 503; R2 = 0.006%, p = 0.02). We next used analysis of covariance to examine the effect of population on crushing resistance using size as a covariate. The interaction term (shell size by population) was not significant (p = 0.24), and there was a highly significant effect of population on size-adjusted crushing resistance (F = 6.3, df = 18, 467, p < 0.001). There was considerable spatial variation in size-adjusted crushing resistance, ranging from 42.3 Newtons in a Rio Mesquites population to 92.3 Newtons in a Tierra Blanca population (Fig. 3a). The correlograms of size-adjusted crushing resistance and all distance measures were not significant (see Fig. 4 for correlogram using cytochrome b distance), indicating the absence of autocorrelation among populations at any scale.

Table 1 Mean (95% CI) size-adjusted crushing resistance (SACR), mean PC1 scores (± 2 SE), molariform frequency (MF), and mean number of bands (NB) for 19 Mexipyrgus churinceanus populations.
Figure 3
figure 3

A) Average size-adjusted crushing resistance (95% Confidence Intervals) for M. churinceanus populations. B) Frequency of banded snails for M. churinceanus populations. Populations along the Y-axis are arranged on a transect from southwestern populations to the northern Rio Mesquite down to the southeastern lobe.

Figure 4
figure 4

A and B Relationship between Moran's I and cytochrome b pairwise distance classes (correlograms) for two Mexipyrgus traits: size-adjusted crushing resistance (triangles and dashed line) and frequency of pigmented shells (closed circles and solid line).

There was considerable variation in the frequency of pigmentation among populations (Fig. 3b) and there was a significant association between frequency of pigmentation and population of origin (likelihood ratio χ2 = 310.7, n = 19, p < 0.001). The correlograms of pigmentation frequency and all distance measures were not significant (see figure 4 for correlogram using cytochrome b distance classes), again indicating the absence of autocorrelation among populations at any scale.

Abiotic and Biotic Influences on Crushing Resistance and Pigmentation

There was no significant correlation between size-adjusted crushing and temperature (r = 0.32, n = 19, p = 0.19) or conductivity (r = -0.40, n = 19, p = 0.09). Similarly, there was no significant correlation between pigmentation frequency and temperature (r = -0.01, n = 19, p = 0.17) or conductivity (r = -0.23, n = 19, p = 0.13). In contrast, there were significant negative correlations between molariform frequency and both size-adjusted crushing resistance (r = -0.63, n = 10, p = 0.05; Fig. 5) and average frequency of pigmentation (r = -0.78, n = 10, p < 0.01; Fig. 5). Using mean population estimates, we examined the correlation between pigmentation patterns and crushing resistance. There was a highly significant positive correlation between number of bands and crushing resistance (r = 0.58, n = 19, p < 0.01).

Figure 5
figure 5

Relationship between frequency of molariform cichlids and both adjusted marginal mean crushing resistance (triangles and dashed line) and frequency of pigmented shells (circles and solid line).

In the two of the three paired adjacent populations that differ in Nymphaea abundance (RM1/RM3 and Tio Candido S/N), crushing resistance was higher where Nymphaea was abundant (Figure 3a). For example, Tio Candido N had significantly higher size-adjusted crushing resistance than Tio Candido S (90.0 and 51.8, respectively; F = 20.82, df = 1, 58, p < 0.001). Similarly, RM1 had significantly higher crushing resistance than nearby RM3 (86.7 and 42.3, respectively; F = 58.62, df = 1, 38; p < 0.001). The Los Remojos populations did not differ significantly in size-adjusted crushing resistance (F = 0.12; df = 1, 30, p > 0.5). In the paired adjacent populations, the frequency of pigmented shells was significantly higher in darker versus lighter substrates in all 3 comparisons: Rio Mesquites 1 and 3 (90% versus 25%, likelihood ratio = 19.1, d.f. = 1, p < 0.001); Los Remojos N and S (83.3% versus 10%, likelihood ratio = 18.5, d.f. = 1, p < 0.001); and Tio Candido N and S (100% versus 40%, likelihood ratio = 33.1, d.f. = 1, p < 0.001).

Discussion

Pronounced geographic differences in prey defenses are probably common [5, 27]. While the unusually high crushing resistance of Mexipyrgus churinceanus in Cuatro Ciénegas and the presence of the molariform cichlids are suggestive of coevolutionary selection [8, 15], the current study provides three important insights. First, there is considerable small-scale spatial variation in crushing resistance and pigmentation that exhibits a mosaic distribution with no significant genetic or spatial autocorrelation. Also, there was a significant negative correlation between the frequency of molariforms and both size-adjusted crushing resistance and frequency of shell pigmentation, but no relationship between these defensive traits and the abiotic variables. Lastly, crushing resistance and pigmentation are significantly higher in habitats dominated by aquatic macrophytes.

To address whether prey defenses have evolved independently across the geographic range of Mexipyrgus churinceanus requires an assessment of phenotypic variation and the spatial autocorrelation of these traits among populations at small genetic and geographic distances. There is significant spatial variation in M. churinceanus crushing resistance and pigmentation at small spatial scales suggesting that certain factors may cause this mosaic distribution of snail defensive traits. In paired populations separated by very small linear and genetic distances, elevated crushing resistance occurs in habitats containing extensive Nymphaea stands. Crushing resistance is dramatically lower in light colored substrates lacking Nymphaea. Because Tio Candido and Rio Mesquites populations represent distinct lineages based on mtDNA sequence differentiation [26], it suggests that these represent convergent patterns of increased crushing resistance and tantalizingly suggests these differences may be driven by resource availability. In habitats with greater primary productivity, there is probably greater abundance of bacteria and fungi upon which Mexipyrgus feeds extensively (Johnson, unpublished results). Increased resource availability likely allows greater investment in costly shell material, and experiments that manipulate resource availability to test its effect on Mexipyrgus shell strength would provide a further test of this hypothesis.

Although there is considerable documentation of hotspots and coldspots in coevolved antagonistic interactions, how spatial processes and community composition promote coevolution and generate selection mosaics has received less attention. A recent study of herbivorous weevils and their Camellia host plant indicate that escalation in armaments only occurred in southern latitudes [3]. More northern host populations had reduced resistance but exploitation and damage by weevils was even greater in these populations, suggesting that some unknown ecological factor may constrain resistance in northern host populations. There has been speculation that the exaggerated shell form of Mexipyrgus is the result of coevolutionary interactions between endemic snails and the molluscivorous morph of H. minckleyi [8]. Surprisingly, there was a highly significant negative relationship between molariform frequency and size-adjusted crushing resistance among ten populations, suggesting that molariform fitness declines as snail crushing resistance increases. Molariform cichlids may have a greater fitness advantage in resource-poor environments where snail crushing resistance is lower, and the limited availability of plant material reduces papilliform fitness. In Nymphaea habitats, increased snail crushing resistance may reduce molariform fitness due to increased costs of crushing, while papilliform fitness is higher due to increased availability of plant material for shredding. We plan to experimentally test whether these alternative cichlid morphs have fitness trade-offs in different resource environments, and more quantitatively measure resources available to Mexipyrgus.

Microspatial variation in Mexipyrgus shell pigmentation is also associated with different substrate coloration and there is no evidence of genetic or spatial autocorrelation among populations. In the three geographically-paired populations, snails with pigmented bands were significantly more common in Nymphaea habitats and unbanded snails were more common where the benthic substrate was light and marled- colored. Unbanded snails are probably more cryptic against lighter benthic substrates and banded snails are more cryptic against the darker substrates found in association with Nymphaea. This type of background matching by prey under selection from highly visual predators is common in many organisms [2830] and experimental evidence that banding patterns are cryptic against different substrate backgrounds would be an interesting line of further research.

The positive relationship between the two snail traits across environments suggest that pigmentation and crushing resistance may represent phenotypically-correlated traits. In resource-poor environments where Nymphaea is absent, investment in crushing resistance may be constrained due to resource limitation, so that crypsis is the most effective defense against molariform predation. We suspect that investment in shell pigmentation is not as costly as having more robust shells, and that snails are capable of inexpensively modifying their pigmentation in Nymphaea habitats to increase crypsis. Whether correlational selection acts on pigmentation patterns and shell strength in these habitats requires a deeper understanding of the phenotypic plasticity in both traits. One hypothesis is that increased pigmentation in these environments does not increase background matching, and pigmentation only increases due to correlational selection on crushing resistance. This hypothesis could be easily refuted if predation success on banded shells is less in Nymphaea habitats. Given evidence for inducible defenses in snails [3133], we also need to assess the heritability and phenotypic plasticity of crushing resistance and pigmentation.

Conclusion

Spatial variation in two prey defense traits, crushing resistance and shell pigmentation, exhibits striking variation at small spatial scales often associated with habitat differences in primary productivity and substrate coloration. These local geographic differences may result from among-habitat variation in how resource productivity interacts to promote escalation in prey defenses. Because molariform H. minckleyi undoubtedly use their jaws to crush snails, Cuatro Ciénegas may represent an ideal system for investigating mosaic predator-prey coevolution. In future studies, we plan to examine local adaptation of molariforms, escalation of molariform traits in resource rich environments, and heritability and phenotypic plasticity of both crushing resistance and pigmentation across resource gradients.

Methods

Spatial Variation and Autocorrelation of Shell Crushing Resistance and Pigmentation

We sampled nineteen sites containing Mexipyrgus churinceanus from various drainages throughout the entire Cuatro Ciénegas basin (Fig. 1; Table 1). Five linear shell measurements (shell length, shell width, spire height, and aperture length and width) commonly used in gastropod studies [25, 31, 34] were measured using Image-Pro Express. All morphological traits were log10-transformed prior to analysis. Crushing resistance of adult Mexipyrgus churinceanus was measured in 19 populations. The snails were placed in water, transferred to the laboratory, and crushed within 4 hours of collection. Snails were crushed between two plates of a Chatillon DFM50 force gauge with an automated Chatillon LTMCM-6 stand. The mobile force plate was set at 2.54 cm/min crushing speed. The force in Newtons needed to crush the snail at the time of shell failure was recorded. To characterize shell size, we conducted a principal components analysis of log10-transformed linear shell measurements. To characterize shell shape, we performed a covariance PCA [35], which finds shape components that are separate from size. Covariance PCA analysis was conducted in ADE-4 [36], and PCA shape scores were obtained by an R program subroutine provided by A. Bellido. Using these PCA measures of size and shape, we conducted a stepwise multiple regression to assess whether size and shape explained significant variation in crushing resistance. Based on evidence that size explained considerable variation in crushing resistance (see Results), we next examined population-level variation in size-adjusted crushing resistance. We used analysis of covariance of crushing resistance under the following model: PCA size as a covariate, population as a main fixed effect, and an interaction term. We tested for homogeneity of slopes using the interaction term. Given a non-significant interaction term, we then conducted a two-way ANCOVA to assess whether there was a significant effect of population. We used the estimated marginal means as a measure of size-adjusted crushing resistance for each population in spatial autocorrelation analyses described next.

We used spatial autocorrelation analyses to examine both the independence of population estimates of crushing resistance and pigmentation, and whether defensive traits change in mosaic fashion at small spatial scales,. We used Moran's I to test for correlations among populations for two defensive traits (size-adjusted crushing resistance and frequency of pigmented shells), and whether these correlations change as a function of geographic and/or genetic distance. Under the spatial mosaic hypothesis, we predicted no positive autocorrelations of geographically-adjacent or genetically-similar populations. We estimated Moran's I using Passage [37]. Moran's I is a measure of autocorrelation, with positive autocorrelations indicating genetically-similar or geographically-proximate populations are similar in defensive traits [23, 25]. We constructed plots of geographic and genetic distances against size-adjusted crushing resistance and percentages of pigmented snails (correlograms) using classes of geographic and genetic distances. We used an equal number of pairs of points for each distance class. We used GPS to determine latitude and longitude of each population and then calculated the surface distance between them in order to produce a geographic distance matrix of the Cuatro Ciénegas populations [38]. Pairwise genetic distances between populations were determined from a previously published paper on mtDNA cytochrome b sequence variation [26] using a distance matrix employing the number of pairwise differences.

Abiotic and Biotic Influences on Load Strength and Pigmentation

To assess the potential influence of abiotic factors on shell strength, we measured temperature and conductivity in the 19 populations (Oakton hand-held conductivity meter Tampa, FL). Conductivity measures were temperature compensated. Above ground flow connects a few of the populations examined here, but the abiotic factors of each are influenced by large discharge from separate isothermal springs [7]. Therefore, the abiotic factors of the 19 populations should be fairly constant, and our measurements should be representative of the temperatures and conductivity populations experience during the entire year. We determined correlations between population means of putative defensive traits (size-adjusted load strength, frequency of pigmented shells) and both temperature and conductivity.

To estimate the relationship between frequency of molariforms and both size-adjusted crushing resistance and frequency of pigmented shells, the frequency of molariforms in ten populations was obtained from two sources. The frequency in Mojarral Oeste, North Tio Candido, Tio Candido, Los Remojos Negro, and Los Remojos Blanco was estimated in 2001 by Kloeppel [22], and was estimated in 2001 in Juan Santos and determined for Churince and Mojarral Este Alta in 2003 from samples reported in Hulsey et al [15]. Fish were considered molariform if they exhibited at least one molariform tooth. The correlation between these molariform frequencies and both size-adjusted crushing resistance and frequency of pigmented shells was then determined.

To address whether the presence or absence of Nymphaea is associated with variation in snail crushing resistance and pigmentation, we compared the crushing resistance (Analysis of Variance) and frequency of banded snails (Log likelihood tests) in three pairs of adjacent populations in the Rio Mesquites, Los Remojos, and Tio Candido. These paired populations are in very close proximity to one another (0.83 km, 0.05 km, and 0.48 km, respectively). In these paired populations, substrate coloration differed dramatically due to the presence or absence of Nymphaea beds. We also examined the phenotypic correlation between mean population estimates of the number of bands and crushing resistance. We conducted all statistical analyses in SPSS [39].

References

  1. Lively CM: Migration, virulence, and the geographic mosaic of adaptation by parasites. American Naturalist. 1999, 153: S34-S47. 10.1086/303210.

    Article  Google Scholar 

  2. Thompson JN: The geographic mosaic of coevolution. 2005, Chicago: University of Chicago Press

    Google Scholar 

  3. Toju H, Sota T: Imbalance of predator and prey armament:geographic clines in phenotypic interface and natural selection. American Naturalist. 2006, 167: 105-117. 10.1086/498277.

    Article  PubMed  Google Scholar 

  4. Benkman CW, Holimon WC, Smith JW: The influence of a competitor on the geographic mosaic of coevolution between crossbills and lodgepole pine. Evolution. 2001, 55: 282-294. 10.1554/0014-3820(2001)055[0282:TIOACO]2.0.CO;2.

    Article  CAS  PubMed  Google Scholar 

  5. Brodie ED, Ridenhour BJ, Brodie ED: The evolutionary response of predators to dangerous prey: hotspots and coldspots in the geographic mosaic of coevolution between garter snakes and newts. Evolution. 2002, 56: 2067-2082. 10.1554/0014-3820(2002)056[2067:TEROPT]2.0.CO;2.

    Article  PubMed  Google Scholar 

  6. Hochberg ME, van Baalen M: Antagonistic coevolution over productivity gradients. American Naturalist. 1998, 152: 620-634. 10.1086/286194.

    Article  CAS  PubMed  Google Scholar 

  7. Minckley WL: Environments of the bolson of Cuatro Ciénegas: Coahuila Mexico with special reference to the aquatic biota. 1969, University of Texas El Paso Texas Science Series, 2: 1-63.

    Google Scholar 

  8. Vermeij GJ, Covich AP: Coevolution of freshwater gastropods and their predators. American Naturalist. 1978, 112: 833-843. 10.1086/283326.

    Article  Google Scholar 

  9. Hershler R: Systematic revision of the Hydrobiidae (Gastropoda: Rissoacea) of the Cuatro Ciénegas Basin, Coahuila, Mexico. Malacologia. 1985, 26: 31-123.

    Google Scholar 

  10. Taylor DW: A remarkable snail fauna from Coahuila, Mexico. Veliger. 1966, 9: 152-228.

    Google Scholar 

  11. Hershler R, Minckley WL: Microgeographic variation in the banded spring snail (Hydrobiidae: Mexipyrgus) from the Cuatro Ciénegas basin, Coahuila, Mexico. Malacologia. 1986, 27: 357-374.

    Google Scholar 

  12. Tang CM, Roopnarine PD: Complex morphological variability in complex evaporitic systems: thermal spring snails from the Chihuahuan desert, Mexico. Astrobiology. 2003, 3: 597-607. 10.1089/153110703322610681.

    Article  PubMed  Google Scholar 

  13. Kornfield IL, Koehn RK: Genetic variation and speciation in New World cichlids. Evolution. 1975, 94: 427-437. 10.2307/2407255.

    Article  Google Scholar 

  14. Sage RD, Selander RK: Trophic radiation through polymorphism in cichlid fishes. Proceedings of the National Academy of Sciences, USA. 1975, 72: 4669-4673. 10.1073/pnas.72.11.4669.

    Article  CAS  Google Scholar 

  15. Hulsey CD, Hendrickson DA, García de León FJ: Trophic morphology, feeding performance, and prey use in the polymorphic fish Herichthys minckleyi. Evolutionary Ecology Research. 2005, 7: 303-324.

    Google Scholar 

  16. Kornfield IL, Taylor JN: A new species of polymorphic fish, Cichlasoma minckleyi, from Cuatro Ciénegas, Mexico (Teleostei: Cichlidae). Proceedings of the Biological Society of Washington. 1983, 96: 253-269.

    Google Scholar 

  17. DeWitt TJ, Robinson BW, Wilson DS: Functional diversity among predators of a freshwater snail imposes an adaptive trade-off for shell morphology. Evolutionary Ecology Research. 2000, 2: 129-148.

    Google Scholar 

  18. Rundle SD, Bronmark C: Inter- and intraspecific traitcompensation of defence mechanisms in freshwater snails. Proceedings of the Royal Society of London Series B. 2001, 268: 1463-1468. 10.1098/rspb.2001.1682.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Vermeij GJ: A natural history of shells. 1993, Princeton: Princeton University Press

    Google Scholar 

  20. Trussell GC, Smith DL: Induced defenses in response to an invading crab predator: an explanation of historical and geographic phenotypic change. Proceedings of the National Academy of Sciences, USA. 2000, 97: 2123-2127. 10.1073/pnas.040423397.

    Article  CAS  Google Scholar 

  21. Rundle SD, Spicer JI, Coleman RA, Vosper J, Soane J: Environmental calcium modifies induced defenses in snails. Proceedings of the Royal Society of London Series B. 2004, 271: S67-S70.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Kloeppel H: Molluscivore (Herichthys minckleyi) effects on snail (Mexipyrgus carranzae) densities and size in Cuatro Ciénegas, Mexico. Masters Thesis. 2002, Northern Arizona University, Flagstaff, AZ

    Google Scholar 

  23. Edwards SV, Kot M: Comparative methods at the species level: Geographic variation in morphology and group size in grey-crowned babblers (Pomatostomus temporalis). Evolution. 1995, 49: 1134-1146. 10.2307/2410438.

    Article  Google Scholar 

  24. Hansen TF, Armbruster WS, Antonsen L: Comparative analyses of character displacement and spatial adaptations as illustrated by the evolution of Dalechampia blossoms. American Naturalist. 2000, 156: S17-S34. 10.1086/303413.

    Article  Google Scholar 

  25. Marko P: An intraspecific comparative analysis of character divergence between sympatric species. Evolution. 2005, 59: 554-564. 10.1554/04-205.

    PubMed  Google Scholar 

  26. Johnson SG: Age, phylogeography, and population structure of the microendemic banded spring snail, Mexipyrgus churinceanus. Molecular Ecology. 2005, 14: 2299-2311. 10.1111/j.1365-294x.2005.02580.x.

    Article  CAS  PubMed  Google Scholar 

  27. Benkman CW: The selection mosaic and diversifying coevolution between crossbills and lodgepole pine. Evolution. 1999, 55: 282-294. 10.1554/0014-3820(2001)055[0282:TIOACO]2.0.CO;2.

    Article  Google Scholar 

  28. Endler JA: A predator's view of animal color patterns. Evolutionary Biology. 1978, 11: 319-364.

    Article  Google Scholar 

  29. Storfer AJ, Cross J, Rush V, Caruso J: Adaptive coloration and gene flow as a constraint to local adaptation in the streamside salamander, Ambystoma barbouri. Evolution. 1999, 53: 889-898. 10.2307/2640729.

    Article  Google Scholar 

  30. Hargeby A, Johansson J, Ahnesjo J: Habitat-specific pigmentation in a freshwater isopod: adaptive evolution over a small spatiotemporal scale. Evolution. 2004, 58: 81-94. 10.1554/02-698.

    Article  PubMed  Google Scholar 

  31. Palmer AR: Effect of crab effluent and scent of damaged conspecifics on feeding, growth, and shell morphology of the Atlantic dogwhelk Nucella lapillus (L.). Hydrobiologia. 1990, 193: 155-182. 10.1007/BF00028074.

    Article  Google Scholar 

  32. Trussell GC: Phenotypic plasticity in an intertidal snail: the role of a common crab predator. Evolution. 1996, 50: 448-454. 10.2307/2410815.

    Article  Google Scholar 

  33. Trussell GC, David Smith L: Induced defenses in response to an invading crab predator: an explanation of historical and geographic phenotypic change. Proceedings of the National Academy of Sciences, USA. 2000, 97: 2123-2127. 10.1073/pnas.040423397.

    Article  CAS  Google Scholar 

  34. Dillon RT: What shall I measure on my snails? Allozyme data and multivariate analysis used to reduce the nongenetic component of morphological variance of Goniobasis proxima. Malacologia. 1994, 25: 503-511.

    Google Scholar 

  35. Madec L, Bellido A, Guiller A: Shell shape of the land snail Cornu aspersum in North Africa: unexpected evidence of a phylogeographical splitting. Heredity. 2003, 91: 224-231. 10.1038/sj.hdy.6800301.

    Article  CAS  PubMed  Google Scholar 

  36. Thioulouse J, Chessel D, Doledec S, Olivier JM: ADE-4: a multivariate analysis and graphical display software. Statistical Computation. 1997, 7: 75-83. 10.1023/A:1018513530268.

    Article  Google Scholar 

  37. Rosenberg MS: PASSAGE. Pattern analysis, spatial statistics, and geographic exegesis. Version 1.0. 2001, Department of Biology, Arizona State University, Tempe, AZ

    Google Scholar 

  38. Byers JA: Surface distance between two points of latitude and longitude. 1997, [http://www.wcrl.ars.usda.gov/cec/java/lat-long.html]

    Google Scholar 

  39. SPSS Inc: SPSS for windows. Rel. 11.5.2.1. 2003, Chicago: SPSS Inc.

    Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge the field assistance of April Taylor, Aaron Rasch, and Stu Field. The Department of Biological Sciences at The University of New Orleans and National Science Foundation grant DEB-0034564 (SGJ) financially supported this research. CDH was supported by University of California at Davis, the National Geographic Society, and Georgia Institute of Technology. We appreciate the comments of A. Siepielski and two anonymous reviewers on a previous version of the manuscript. We thank A. Bellido for providing the R routine for the covariance PCA analysis. Permission for sampling was granted by SEMARNAT (permit # 5877).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Steven G Johnson.

Additional information

Authors' contributions

All authors conceived the study and participated in its design and conducted field work. SGJ performed statistical analysis and drafted the manuscript. CDH and FJGL helped with revisions of the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Johnson, S.G., Hulsey, C.D. & de León, F.J.G. Spatial mosaic evolution of snail defensive traits. BMC Evol Biol 7, 50 (2007). https://doi.org/10.1186/1471-2148-7-50

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2148-7-50

Keywords