Geomorphic morphometric differences between populations of Speyeria diana (Lepidoptera: Nymphalidae).
Because butterfly wings largely reflect the behavior and ecological roles of the species, variation in their shape and size can provide insight about important population-level differences. For example, wing morphology specifically provides information about the flight patterns and flight behaviors of butterflies, which can provide insight into populations' habitat suitability and dispersal rates. A major aim of evolutionary biology is addressing how and why morphology and behavior of different organisms adapt to different environments (Cespedes et al. 2015). Flight is an important character in the evolutionary success of insects, because it is essential for dispersal, courtship, and oviposition behaviors in many species. Wing shape affects flight performance in insects, and selection is expected to maximize performance of behaviors that result in the evolution of wing shape. Because wing shape contributes to the fitness of insects, optimal wing shapes for particular flight behaviors can be used to make predictions in an ecological context (Cespedes et al. 2015).
Wing shape is directly related to the ecological roles and physiological constraints of insect flight that differ between sexes (Willmott & Ellington 1997). As a result, geometric morphometric differences often are found between male and female butterflies due to their different behaviors and life history strategies. For example, Speyeria diana males spend a significant portion of their time searching for mates by patrolling at high speeds up and down open roadways. Alternatively, females stay relatively well hidden, spending a majority of their time searching for suitable oviposition sites near violets on the forest floor. Behavioral sexual dimorphism, such as that displayed by S. diana, often is associated with differences in flight morphology, which is reflected in the shape of wings (Breuker et al. 2007). Speyeria diana females are slightly larger on average than males, with the average male forewing of S. diana measuring 4.3 cm, and the average female forewing measuring 5.0 cm (Opler & Krizek 1984). Female wings are iridescent blue and white around the edges and black toward the center, while the smaller males have a bright orange and black coloration instead (Fig. 1).
Wing morphology is widely used across a variety of scientific disciplines to study insects, including taxonomic, ecological, behavioral, and evolutionary studies (De Moraes & Mescher 2004; Carreira et al. 2006; Soto et al. 2008). Wings are an especially useful trait due to their significance in so many aspects of insect life (Betts & Wootton 1988; Wootton 1992; Berwaerts et al. 2002, 2006). Wing morphology, shape in particular, can be very informative as an indicator of changing, and often stressful, environmental conditions (Hoffmann et al. 2005). Geometric morphometric methods in particular offer a comprehensive approach to the study of shape through the multivariate statistical analysis of anatomical landmarks of biological homology (Bookstein 1991; Rohlf & Marcus 1993; Adams et al. 2004). These methods preserve the information about the relative spatial arrangement of the data throughout the analysis (Zelditch et al. 2004), making it possible to find and analyze shape variations in the organisms within and between populations (Walker & Bell 2000). Moreover, geometric morphometric analyses have high statistical power and have easily visualized results, which help with their interpretation and communication across scientific disciplines (Rohlf & Marcus 1993; Adams et al. 2004; Zelditch et al. 2004). The aim of our study was to use geometric morphometric methods to examine wing shape variation in male and female S. diana museum specimens collected from 1777 to 2007 across its historic and current distribution in order to better understand differential selection pressures across the distribution of this threatened species. Our results will advance the knowledge of adaptive morphology in fritillary butterflies and will help inform appropriate management of this species based on its dispersal ability and flight behavior across its range.
Materials and Methods
We photographed 267 pinned S. diana specimens that each had accurate label information documenting the date and exact location of collection from natural history museums in North America and Europe (Table 1). Our sample included 166 males and 101 females, dating back to the S. diana holotype, collected from Jamestown, Virginia, USA, by Cramer S. Stoll (1777), and now housed in the British Museum of Natural History (BMNH) (Table 2). Populations of S. diana were extirpated from this locality in coastal Virginia by the 1950s.
In butterflies, the geometric morphometric landmarks most often used to measure shape are the wing vein intersections (Breuker et al. 2007). We identified 11 vein intersections on Speyeria forewings, and 11 on hind wings to use as landmarks for our study (Fig. 2). Forewings and hind wings were digitized and analyzed separately for all comparisons. Landmarks were digitized on the dorsal side of pinned specimen wings using tpsDig2 software v.2.12 (Rohlf 2009). We measured variation in wing shape using geometric morphometries based on generalized least squares Procrustes superimposition methods. Procrustes analysis examines shape by superimposing configurations of landmarks in 2 or more specimens to achieve an overall best fit (Klingenberg & Mclntyre 1998). Procrustes transformation eliminates variation due to wing size and orientation of pinned specimens by scaling the specimens to a unit centroid size (Rohlf & Slice 1990). This allowed us to analyze variation solely due to differences in wing morphology (Fig. 3).
We conducted a principal components analysis using Morphologika2 v.2.5 (O'Higgins & Jones 2006) to summarize differences between the average shapes of wing landmarks. A principal components analysis works by finding the first axis that passes through the centroid, accounting for the most variation present in the data. A second axis is then formed by passing through the centroid orthogonally to the first principal components analysis, which accounts for the next greatest variation. Each rotation of the axis accounts for a principal component score, and each axis has an associated eigenvalue that describes the variation explained by the axis. The eigenvalues are then expressed as percentages of the total variation (Palmer 2000). We used the first 3 principal component scores that explained the greatest variation in forewing and hind wing shape as characters for analysis in a multiple analysis of variance (MANOVA) using the statistics program IBM/SPSS v.22.0 (IBM 2013). We used MANOVA to test for effects and interactions between sex (male or female), population location (eastern or western; low or high elevation), and population age (collected before or after 1950) on forewing and hind wing shape. We used the Wilks' Lambda test, a positive-valued statistic that ranges from 0 to 1. Decreasing values of the statistic indicate effects that contribute more to the model. We also used the Hotelling's trace statistical test, which is the sum of the eigenvalues of the test matrix. It is also a positivevalued statistic for which increasing values indicate effects that contribute more to the model. All statistical analyses were conducted with [alpha] = 0.05.
The principal components analysis performed on hind wing and forewing landmarks identified important sources of geometric morphometric variation (Fig. 4). Principal components analysis showed clear separation of male forewings (n = 166), which were narrower and more angular, from female forewings (n = 101), which were wider and more rounded (Fig. 5). Significant differences were found between male hind wings from eastern (n = 131) and western populations (n = 102) (Fig. 6), as well as female hind wings from low elevations (below 300 m) (n = 111) and from high elevations (above 300 m) (n = 157) (Fig. 7).
The first 3 principal components scores were tested with MANOVA, which showed a significant effect of sex (F= 39.108; P = 0.000), location [east or west) (F = 41.944; P < 0.05), and elevation (low or high) (F = 37.443; P < 0.05) on wing morphology (Table 3). There were no significant effects of age on male or female hind wings or forewings, and no significant effects from interactions between sex, location, elevation, or yr of collection.
We found significant geometric morphometric differences between both sexes from eastern and western populations, between male and female specimens from low (below 300 m) and high elevations (at or above 300 m), but not between male and female specimens collected before and after 1950. We detected important geometric morphometric differences in the forewings of S. diana male and female pinned specimens at the population-level, but not in hind wings. This makes sense, because in butterflies, flight is driven primarily by the forewings and can proceed even when the hind wings are removed (Jantzen & Eisner 2008). We predicted that differences between male and female life histories would be reflected in different wing morphology between sexes, which was confirmed. Male S. diana specimens had narrower, more angular forewings than females, which had rounder and wider forewings. We suspect that male forewing shape in S. diana is related to the strong flight pattern needed for frequent patrolling, because it is known that longer, slimmer wings enhance lift in flight (Wootton 1992; Grabow & Ruppell 1995). In a study similar to ours, Cespedes et al. (2015) also used landmark-based geometric morphometries to test whether wing shapes in the moth tribe Haeterini (Satyrinae: Nymphalidae) and their close relatives reflected observed flight patterns. They found that forewing shape differed between sexes for all taxa studied, and found male wing shapes to be more aerodynamically efficient for gliding flight than in female wings. Our results, and those of Cespedes et al. (2015), show that selection can act differently on male and female wing shapes, reinforcing the idea that sex-specific flight behaviors contribute to the evolution of sexual dimorphism (Cespedes et al. 2015).
Other studies on Lepidoptera have found variation in forewing shape based on dispersal ability (Betts & Wootton 1988; Outomoro et al. 2012). Many migratory species are known to have narrow, elongated wings for long-distance, gliding flight. Migratory populations of the monarch butterfly, Danaus plexippus L. (Lepidoptera: Nymphalidae), for example, have been shown to have narrower, more elongated forewings, for stronger flight, compared to the forewings of non-migratory populations, which were smaller and rounder (Altizer & Davis 2010; Li et al. 2016; Flockhart et al. 2017). We found that male forewings of S. diana from eastern populations were narrower and more angular than populations in the west, suggesting that males in the east demonstrate longer distance dispersal than males in the west. Dispersal ability in similar butterflies is influenced by both habitat quality (Matter & Roland 2002), and levels of habitat fragmentation (Mennechez et al. 2003). Our finding that western populations have rounder wings than those in the east suggests that western populations may have evolved less mobility due to the highly fragmented landscape located between high elevation populations, which act as refuges that inhibit dispersal.
Mitochondrial DNA data support our findings of morphological differences between regions, as the eastern range of S. diana has been shown to harbor higher levels of genetic diversity among and between populations than those in the west (Wells et al. 2015). If narrow, angular wings are characteristic of strong flight patterns, this indicates that S. diana males may be more mobile in their eastern distribution, traveling more frequently between populations in search of high quality nectar plants or mates. The closely related Regal fritillary, Speyeria idalia Drury (Lepidoptera: Nymphalidae) has been described as a high gene flow species at a large geographical scale (in the order of hundreds of kilometers) (Williams et al. 2003), indicating that S. idalia demonstrates long distance dispersal across portions of its range. The distinct morphology of male S. diana wings, combined with genetic differentiation between males in the east and west, suggest that S. diana males are also a high gene flow species in the east, while those in the west are not. The combination of morphological and mitochondrial DNA differences between disjunct populations in the eastern and western distribution of S. diana may warrant subspecies designation, as was found with S. idalia, which could ultimately lead to protected status under the Endangered Species Act of 1973 (Waples 1998; Williams 2001, 2002). More data in both of these areas is necessary to pursue either of these designations for S. diana.
Geometric morphometric variation in wings has been attributed to environmental heterogeneity in a number of butterfly species (Vandewoestijne & Van Dyck 2011; Bai et al. 2015). We found that the forewings of S. diana females from high elevations were narrower than those of females from lower elevations. This is especially interesting, because S. diana recently has been shown to be shifting to higher elevations at a rate of 18 m per decade, while disappearing from lowland sites (Wells & Tonkyn 2014). Our results are similar to those documented in related species, such as Hernandez et al. (2010), who examined variation in wing morphology between populations of the invasive potato moth, Tecia solanivora Polvolny (Lepidoptera: Gelechiidae) at low and high elevations in the central highlands of Ecuador. Not only did T. solanivora females have larger, wider wings than males, high elevation moths of both sexes had larger, narrow-shaped wings when compared to low-elevation moths. Their results suggest that variation in wing morphology is an adapted response contributing to the invasion success of the T. solanivora in mountainous landscapes (Hernandez et al. 2010).
Speyeria diana females from high elevations also may be more mobile than those from lowland populations, because females with wings built for strong flight would be most likely to make a successful shift in elevation. This adaptation may be reflective of the species shifting upward in elevation. Interestingly, we found no effect of yr of capture in our analysis, indicating that there is no evidence that wing morphology is changing in response to the factors driving the striking changes that have been documented in the distribution and phenology of 5. diana. Another interesting aspect of 5. diana populations is that females are now being collected earlier per decade by 4.3 d while males, which emerge first in spring, have not shifted their phenology (Wells and Tonkyn 2014). Speyeria diana females at high elevations emerging earlier in spring, before peak violet abundance, may be required to search more actively for violets, which bloom earlier below 300 m where temperatures tend to be warmer. Females with longer, more angular wings may be favored at higher elevations, because stronger flight would assist in finding more sparsely dispersed larval host plants. The Regal fritillary, Speyeria idalia, the closest related species to 5. diana (De Moya et al. 2017), is declining and at risk range-wide (Swengel and Swengel 2017). Patterns of intraspecific morphological and mtDNA differentiation have been documented between populations of Speyeria idalia (Williams 2001, 2002). Mitochondrial DNA sequence divergence, combined with ecological and natural-history data, suggested that a disjunct population of S. idalia in the east represent a remnant of a distinct evolutionary lineage of extreme conservation concern. While 5. diana and 5. idalia have different population structures, ecologies, and life history traits, their basic biology is similar enough to predict the 2 species should experience similar effects from genetic isolation of populations. Speyeria diana populations in the western distribution should be monitored especially closely to prevent further habitat loss and isolation. The distribution and interactions among S. diana populations is likely strongly influenced by population-specific habitat requirements.
Our results highlight the importance of examining and preserving variation, both genetic and morphometric, in natural populations before it is lost, especially in species under threat of decline. The wing shape of western populations of S. diana appears to be adapted for low dispersal, supporting other recent findings that also indicate western populations of S. diana are both spatially and genetically isolated (Wells and Tonkyn 2014; Wells et al. 2015). We conclude that the future of 5. diana will require the thoughtful preservation of well-connected high elevation habitats, especially in the western distribution where dispersal is more limited than in the east.
We would like to thank Drs. Tonkyn, Adler, and Marko for assistance designing and setting up this study. We thank Drs. Rivera for guidance and technical assistance with our methods, and Marielle Abalo and Justin Orders for help with data collection and analysis. We sincerely thank colleagues at the British Museum of Natural History, The Carnegie Museum of Natural History, the Smithsonian Natural History Museum, the American Museum, the Field Museum, and the McGuire Center at University of Florida, for allowing us access to their S. diana museum specimens for this and other studies. We thank Clemson University and the University of Charlotte at North Carolina for ongoing support as well.
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Carrie Wells (1,*), Arryn Munn (1), and Chelsea Woodworth (2)
(1) University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina 28223, USA; E-mail: Carrie.Wells(5>uncc.edu (C. W); amunn3(5>uncc.edu (A. M.)
(2) Clemson University, Department of Biological Sciences, 132 Long Hall, Clemson, South Carolina 29634, USA; E-mail: email@example.com (C. W.)
(*) Corresponding author; E-mail: Carrie.Wells@uncc.edu
Caption: Fig. 1. Female (left) and male (right) Speyeria diana specimens were photographed for this study. All specimens were photographed with a cm ruler for proper scaling.
Caption: Fig. 2. Twenty-two vein intersections on the Speyeria wing were used as landmarks for this study based on Borror et al. 2005.
Caption: Fig. 3. Procrustes transformation on hind wing landmarks, correcting for variation due to differences in pinned specimen orientation. Before Procrustes on left, after Procrustes on right.
Caption: Fig. 4. Principal component scores accounting for variation in forewing (top) and hind wing (bottom) landmarks. The first three principal components scores represent the majority of variation in the data.
Caption: Fig. 5. Principal components analysis showing separation of male (red) and female (blue) Speyeria diana forewing shape. Male forewings [n = 166) were narrower and more angular than female forewings [n = 101), which were wider and more rounded.
Caption: Fig. 6. Principal components analysis showing separation of male Speyeria diana forewings from specimens collected from eastern (blue) and western (red) populations. Male hind wings from eastern populations [n = 131) were narrower than those from western populations (n = 102).
Caption: Fig. 7. Principal components analysis showing separation of female Speyeria diana forewings from specimens collected at low (blue) and high (red) elevations. Female forewings from low elevations (n = 111) (below 300 m) were wider than those from higher elevations (n = 157) (above 300 m).
Table 1. Summary of Speyeria diana museum specimens used in this study. No. No. No. Specimen source of males of females from east Carnegie Museum of Natural History 31 16 46 National Museum of Natural History 51 31 49 American Museum of Natural History 22 16 19 The Field Museum 29 17 46 British Natural History Museum 6 1 7 University Florida Natural History Museum 27 20 14 No. No. from Specimen source from west low elevation Carnegie Museum of Natural History 1 21 National Museum of Natural History 33 22 American Museum of Natural History 19 15 The Field Museum 0 22 British Natural History Museum 0 7 University Florida Natural History Museum 33 24 No. from No. Specimen source high elevation pre-1950 (*) Carnegie Museum of Natural History 26 25 National Museum of Natural History 60 40 American Museum of Natural History 23 20 The Field Museum 24 26 British Natural History Museum 0 7 University Florida Natural History Museum 23 26 No. Specimen source post-1950 (*) Carnegie Museum of Natural History 21 National Museum of Natural History 42 American Museum of Natural History 18 The Field Museum 20 British Natural History Museum 0 University Florida Natural History Museum 21 (*) Indicates date when specimen was captured and pinned by original collector. Table 2. Total number of Speyeria diana museum specimens detailing the number of males, females, individuals from eastern populations, individuals from western populations, low elevations, high elevations, collected before 1950, and collected after 1950 used in this study. Total specimens Total males Total females Total east Total west 267 166 101 131 102 Total specimens Total low Total high Total pre-1950 Total post-1950 267 111 157 144 122 Table 3. MANOVA performed on first three principal components scores for 11 hind wing landmarks. Values in bold are significant (P < 0.005). Effect Test Value F Sex Wilks' Lambda 0.240 39.108 (male or female) Hotelling's Trace 3.171 Locality Wilks' Lambda 0.929 (east or west) Hotelling's Trace 0.077 41.944 Elevation Wilks' Lambda 0.877 37.443 (low or high) Hotelling's Trace 0.077 Year of Collection Wilks' Lambda 0.872 1.118 (pre-1950, post-1950) Hotelling's Trace 0.147 Locality * Sex Wilks' Lambda 0.97 11.326 Hotelling's Trace 0.108 Locality * Year of Collection Wilks' Lambda 0.061 0.808 Hotelling's Trace 0.065 Sex * Year of Collection Wilks' Lambda 0.048 0.620 Hotelling's Trace 0.050 Locality * Sex * Year of Collection Wilks' Lambda 0.031 0.396 Hotelling's Trace 0.032 Effect df Significance Sex 6 0.000 (male or female) Locality 6 0.048 (east or west) Elevation 6 0.048 (low or high) Year of Collection 6 0.107 (pre-1950, post-1950) Locality * Sex 6 0.256 Locality * Year of Collection 6 0.567 Sex * Year of Collection 6 0.714 Locality * Sex * Year of Collection 6 0.879
Please Note: Illustration(s) are not available due to copyright restrictions.
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|Author:||Wells, Carrie; Munn, Arryn; Woodworth, Chelsea|
|Date:||Jun 1, 2018|
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