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Research Article
Hind wing variation in Leptura annularis complex among European and Asiatic populations (Coleoptera, Cerambycidae)
expand article infoRobert Rossa, Jakub Goczał, Bartosz Pawliczek, Nobuo Ohbayashi§
‡ University of Agriculture in Krakow, Krakow, Poland
§ Unaffiliated, Miura City, Japan
Open Access

Abstract

The ability to quantify morphological variation is essential for understanding the processes of species diversification. The geometric morphometrics approach allows reliable description of variation in animals, including insects. Here, this method was used to quantify the morphological variation among European and Asiatic populations of Leptura annularis Fabricius, 1801 and its closely related species L. mimica Bates, 1884, endemic for Japan and Sakhalin islands. Since the taxonomic status of these two taxa is differently interpreted by taxonomists, they are collectively called “Leptura annularis complex” in this paper. The analysis was based on the measurements of hind wings of 269 specimens from six populations from Europe and Asia. The level of morphological divergence between most of continental European and Asiatic populations was relatively small and proportional to the geographic distance between them. However, distinct morphotype was detected in Sakhalin Is. and Japan. These data confirm the morphological divergence of the endemic L. mimica species. Obtained results highlight the potential of the geometric morphometric method in studying morphological variation in beetles.

Keywords

Leptura annularis , longhorn beetles, geometric morphometrics, geographic variation, taxonomy

Introduction

The understanding of large-scale patterns of variation in living organisms is a fundamental challenge for biological science (MacArthur 1972, Gaston and Blackburn 2000). Insects have become widely used models for studying the geographical patterns of morphological variation in body size and body shape (Yom-Tov and Geffen 2006, Stillwell et al. 2007, Abbasi 2009, Sadeghi et al. 2009, Stillwell and Fox 2009). The development of rigorous method of shape analysis, the geometric morphometrics, has provided new opportunities in the morphological study on animals (Adams et al. 2004, Zelditch et al. 2004, Lawing and Polly 2010), including insects (Pezzoli et al. 1997, Haas and Tolley 1998, Hoffmann and Shirriffs 2002).

The Cerambycidae family constitutes a large and diverse group of beetles. Among them, there are species with highly limited distribution or even endemics, as well as widely distributed and common taxa (Löbl and Smetana 2010). Longhorn beetles differ also in terms of habitat specialization: from highly-specialized monophagous species to polyphagous opportunists able to inhabit various habitats. The role of ecological and historical factors on Cerambycidae distribution is relatively well studied (Baselga 2008, Koutroumpa et al. 2013, Vitali and Schmitt 2017). However, there is a lack of papers devoted to quantification of the geographical patterns in morphological variation of longhorn beetles.

Leptura annularis is a widely distributed longhorn beetle which taxonomic status remains unclear. In 1801, the species was described as L. annularis by Fabricius, based on the sample from Siberia (Fabricius 1801). In 1884, a new species, Leptura mimica, was described by Bates, based on specimens from Hokkaido and Honshu (Bates 1884). Nevertheless, many authors have later synonymized these two taxa (e.g., Panin and Săvulescu 1961, Kaszab 1971, Cherepanov 1988, Sláma 1998, Sama 2002) and indicated that there are no significant differences between populations from Europe, Asia, and Sakhalin Is. or Japan (Sama 2002) or treat these two taxa as subspecies but not distinct species (Danilevsky 2014).

On the other hand, comprehensive studies conducted by Japanese taxonomists have indicated significant differences between continental populations of L. annularis and populations of L. mimica distributed in Japan and Sakhalin. Such differences can be found in elytra coloration pattern, shape of male genitalia parameres and female spermatheca (Makihara and Saito 1985, Makihara et al. 1991). Moreover, the study on mitochondrial genome suggests that L. annularis and L. mimica should be considered as separate species (Saito et al. 2002). In this study, these two taxa are collectively called the “Leptura annularis complex”.

So far, all morphological studies on L. annularis complex were based on the traditional, qualitative characters only. Therefore, the main aim of this study was to quantify the morphological variation between European and Asiatic populations of Leptura annularis complex by using a geometric morphometric approach. This will allow examination of the hypothesis that the Sakhalin Is. and Japanese populations of the studied species constitute a diffrent morphotype than the continental populations.

Materials and methods

Examined material

The study was based on analysis of 269 images (116 females, 153 males) originating from six populations (Fig. 1): Central Europe (121 specimens), Eastern Europe (28 specimens), Central Asia (13 specimens), Eastern Asia (60 specimens), Sakhalin Is. (10 specimens), and Japan (37). Specimens were obtained from museum collections at the Institute of Forest Ecosystem Protection, Faculty of Forestry, University of Agriculture in Krakow, Poland, from collections of the Nature Museum at the Institute of Systematics and Evolution of Animals of the Polish Academy of Science, Krakow, Poland and from private collection of Nobuo Ohbayashi. Specimens were collected between 1888 and 2015.

Figure 1. 

Sampling localities for morphological survey of Leptura annularis complex in Europe and Asia.

Measurements

Both left and right hind wings of each specimen were carefully detached from the body, straightened, and mounted between two microscopic slides (Goczał et al. 2016). Each preparation was digitalized using an Epson V330 Photo scanner with a resolution of 4,800 dpi. Subsequently, 23 homologous landmarks were determined manually on each wing image by using of DrawWing software (Tofilski 2004) (Fig. 2).

Figure 2. 

Schematic of landmarks positions on the hind wing of Leptura annularis complex.

Statistical analyses

Measurements of left and right hind wing were averaged. Before the analysis, all coordinates of the landmarks were aligned by using generalized orthogonal least-squares procedures (Rohlf and Slice 1990). These procedures involve scaling, translation and rotation of the landmarks. After the superposition, coordinates of landmarks can be compared. Wing size was expressed as a centroid size. Wing shape was described by 20 principal components. The ANOVA/MANOVA models were used to analyze the differences in hind wing size and shape between populations and sexes. Mahalanobis distance (MD) was used as a measure of morphological divergence between groups. The distances were also employed to build a similarity tree by using of Unweighted Pair Group Method with Arithmetic Mean (UPGMA) in the Phangorn package (Schliep 2011) in R software(R Core Team 2015).

Results

Size differences

Significant differences in average wing size were detected among populations of L. annularis complex (ANOVA: F5, 257 = 22.56, P = 0.001, Fig. 3) and between sexes (ANOVA: F1, 257 = 6.02, P = 0.015, Fig. 3). The interaction between population and sex was not significant (ANOVA: F5, 257 = 0.27, P = 0.931). The post-hoc test revealed that specimens from Central Asia, Eastern Asia and Japan were significantly larger than individuals from Central Europe (Scheffe Test: P = 0.001; P = 0.001; P = 0.001, respectively). Specimens from Eastern Asia were also smaller than individuals from Eastern Europe and Sakhalin Is. (Scheffe Test: P = 0.001; P = 0.009, respectively). Other populations did not differ significantly in hind wing size.

Figure 3. 

Differences in wing size between six populations of Leptura annularis complex.

Shape differences

There were significant differences in hind wing shape among populations of L. annularis complex (MANOVA: Wilks’ lambda = 0.14, F100, 1165.8 = 5.91, P = 0.001, Fig. 4) and between sexes (MANOVA: Wilks’ lambda = 0.70, F20, 238 = 5.07, P = 0.001). The interaction between population and sex was not significant (MANOVA: Wilks’ lambda = 0.63, F100, 1165.8 = 1.14, P = 0.168). Morphological divergence among populations from Central Europe, Eastern Europe, Central Asia and Eastern Asia have reflected in large degree the geographical distance between them (Figs 4, 5). Accordingly, specimens from Central Europe were most similar to the individuals from Eastern Europe (MD square = 2.1). Individuals from Central Asia were similar to the specimens from Eastern Europe (MD square = 3.1). Specimens from Eastern Asia were similar to the beetles from Central Asia (MD square = 3.8).

Figure 4. 

Variation of hind wing shape among European and Asiatic populations of Leptura annularis complex: view in three-dimensional (A) and two-dimensional (B) morphospace.

Figure 5. 

UPGMA similarity tree of hind wing shape of six Leptura annularis complex populations based on the Mahalanobis distance.

Populations from Sakhalin Is. and Japan have shown significant divergence from all continental populations (Figs 4, 5), including the relatively close Eastern Asia population (MD square = 12.5; 9.8, respectively). Furthermore, samples from Sakhalin Is. and Japan were more similar to each other (MD square = 5.7) than to any continental population.

Discriminate analysis allowed to separate samples from Sakhalin Is. and Japan from continental populations based on hind wing shape (P = 0.001). Nevertheless, discrimination accuracy was relatively low and adopted values between 86.5 % (with cross-validation) for identification of continental morphotype, and 87.2 % (with cross-validation) for discrimination of Sakhalin Is. and Japanese morphotype.

The average hind wing of L. annularis from Sakhalin Is. and Japan was slightly shorter than the hind wing of specimens from continental populations, and has wider wing tip (Fig. 6). Differences may be also found in the position of some wing veins including cubital and medial veins (Fig. 6). However, these differences were very small and difficult to discern without measurements.

Figure 6. 

Differences in average hind wing shape between continental Leptura annularis complex morphotype (full line) and morphotype from Sakhalin Is. and Japan (dotted line). Differences were exaggerated four times to make them more visible. The position of the lines is a result of interpolation, which is less accurate at greater distances from the landmarks. The presented differences are difficult to discern without measurements.

Discussion

Significant differences in size and shape of hind wings were found among European and Asiatic populations of Leptura annularis complex. The level of morphological divergence between most of studied populations was relatively small and proportional to the geographic distance between them. These data suggest that the postglacial colonization of Europe and Asia by L. annularis probably originated from single refugium.

The only exception to this pattern was in the case of Japanese and Sakhalin Is. populations. Samples from this region constituted a distinct morphotype, and differences between them and continental populations cannot be explained simply by the geographical distance. These data correspond to the results of other morphological and genetic investigations which have shown clear morphological divergence of Japan and Sakhalin Is. populations (Makihara and Saito 1985; Saito et al. 2002) and confirm the validity of taxonomic status of endemic L. mimica species.

The development of the geometric morphometric method is considered to be a milestone in the field of morphological study (Rohlf and Marcus 1993). Replacement of simple linear measurements with the complex informations of shape allows examination of various taxonomic, ecological, and evolutionary hypotheses (Adams et al. 2004, Mitteroecker and Gunz 2009, Lawing and Polly 2010, Fruciano 2016). In the case of insects, flight wings with their relatively flat area and numerous homologous structures constitute a widely used marker in geometric morphometric investigations (e.g. Bai et al. 2012; Chazot et al. 2016; Francoy et al. 2011; Gilchrist et al. 2000; Perrard et al. 2014; Prudhomme et al. 2012; Sadeghi et al. 2009; Tofilski 2008). In the case of beetles, hind wing geometric morphometrics were successfully used to describe the geographical variation among populations (Mikac et al. 2016, Rossa et al. 2016) and for species identification (Su et al. 2015, Goczał et al. 2016, Li et al. 2016, Rossa et al. 2017), as well as in evolutionary investigations (Bai et al. 2012; Ren et al. 2017). The results presented here confirmed that this approach is suitable for describing the geographic pattern of morphological variation in longhorn beetles and allows detection of divergent morphotypes. These findings highlight the potential of the geometric morphometric method in studying morphological variation in Coleoptera.

It is well known that habitat specialization constitutes an important factor affecting distribution patterns and diversification of organisms (Caillaud 1999, Wood et al. 1999, Stireman et al. 2005). In general, opportunistic species are in many cases characterised by a more homogeneous population structure than highly specialized taxa (Smith and Fujio 1982, Mustaparta 1992, Stein et al. 2014). If the case of longhorn beetles, it was shown that host specialization was an important factor influencing the distribution patterns and diversification of this group (Shoda et al. 2003b, Vitali and Schmitt 2017, Wallin et al. 2017). Our investigation on L. annularis showed a homogenous morphological structure of the studied species over a large distribution range. A similar conclusion was drawn for the other opportunistic longhorn beetle Anoplophora glabripennis (Motschulsky, 1853) after the genetic investigation (Carter et al. 2009). In contrary, several studies on host-specific longhorn beetles revealed more complex morphological and genetic population structures that cannot be explained simply by the geographical distance (Shoda et al. 2003a, 2003b, Kawai et al. 2006, Rossa et al. 2016). These findings underscore the importance of host specialization in the distribution patterns and diversification of longhorn beetles.

Acknowledgments

We would like to express our gratitude to the Akiko Saito, Natural History Museum and Institute, Chiba and to the anonymous reviewers for valuable comment on the earlier version of the manuscript. We are also immensely grateful to Daniel Kubisz from the Nature Museum at the Institute of Systematics and Evolution of Animals of the Polish Academy of Science in Krakow for providing specimens for this study. This research was supported by the Ministry of Science and Higher Education of The Republic of Poland under the grant number DS-3416/ZOLEKL/2017 and DS-WL/3400.

References

  • Abbasi R (2009) Geometric morphometric study of populations of the social wasp, Polistes dominulus (Christ, 1791) from Zanjan province, north-west Iran. New Zealand Journal of Zoology 36: 41–46. https://doi.org/10.1080/03014220909510138
  • Bai M, Beutel RG, Song K-Q, Liu W-G, Malqin H, Li S, Hu X-Y, Yang X-K (2012) Evolutionary patterns of hind wing morphology in dung beetles (Coleoptera: Scarabaeinae). Arthropod structure & Development 41: 505–513. https://doi.org/10.1016/j.asd.2012.05.004
  • Bates HW (1884) Longicorn beetles of Japan. Additions, chiefly from the later Collections of Mr. George Lewis; and notes on the synonymy, distribution, and habits of the previously known species. Journal of the Linnean Society of London, Zoology 18: 205–262. https://doi.org/10.1111/j.1096-3642.1884.tb02047.x
  • Carter ME, Smith MT, Harrison RG (2009) Patterns of Genetic Variation Among Populations of the Asian Longhorned Beetle (Coleoptera: Cerambycidae) in China and Korea. Annals of the Entomological Society of America 102: 895–905. https://doi.org/10.1603/008.102.0516
  • Chazot N, Panara S, Zilbermann N, Blandin P, Le Poul Y, Cornette R, Elias M, Debat V (2016) Morpho morphometrics: Shared ancestry and selection drive the evolution of wing size and shape in Morpho butterflies. Evolution 70: 181–194. https://doi.org/10.1111/evo.12842
  • Danilevsky ML (2014) Longicorn beetles (Coleoptera, Cerambycoidea) of Russia and adjacent countries. Part 1. HSC, Moscow, 522 pp.
  • Fabricius JC (1801) Systema eleutheratorum secundum ordines, genera, species adiectis synonymis, locis, observationibus, descriptionibus. Tomus II. Bibliopoli Academici Novi, Kiel, 687 pp.
  • Francoy TM, Grassi ML, Imperatriz-Fonseca VL, de Jesús May-Itzá W, Quezada-Euán JJG (2011) Geometric morphometrics of the wing as a tool for assigning genetic lineages and geographic origin to Melipona beecheii (Hymenoptera: Meliponini). Apidologie 42: 499–507. https://doi.org/10.1007/s13592-011-0013-0
  • Goczał J, Rossa R, Sweeney J, Tofilski A (2016) Citizen monitoring of invasive species: wing morphometry as a tool for detection of alien Tetropium species. Journal of Applied Entomology 141: 496–506. https://doi.org/10.1111/jen.12370
  • Kaszab Z (1971) Cincérek-Cerambycidae. Fauna Hungariae IX, 5. Akadémiai Kiadó, Budapest Budapest, 283 pp.
  • Kawai M, Shoda-Kagaya E, Maehara T, Zhou Z, Lian C, Iwata R, Yamane A, Hogetsu T (2006) Genetic Structure of Pine Sawyer Monochamus alternatus (Coleoptera: Cerambycidae) Populations in Northeast Asia: Consequences of the Spread of Pine Wilt Disease. Environmental Entomology 35: 569–579. https://doi.org/10.1603/0046-225X-35.2.569
  • Koutroumpa FA, Rougon D, Bertheau C, Lieutier F, Roux-Morabito G (2013) Evolutionary relationships within European Monochamus (Coleoptera: Cerambycidae) highlight the role of altitude in species delineation. Biological Journal of the Linnean Society 109: 354–376. https://doi.org/10.1111/bij.12042
  • Li L, Qi Y, Yang Y, Bai M (2016) A new species of Falsopodabrus Pic characterized with geometric morphometrics (Coleoptera, Cantharidae). ZooKeys 614: 97–112. https://doi.org/10.3897/zookeys.614.6156
  • Löbl I, Smetana A (2010) 6 Catalogue of Palaearctic Coleoptera Catalogue of Palaearctic Coleoptera. Volume 6. Chrysomeloidea. Apollo Books, Stenstrup, 924 pp.
  • MacArthur R (1972) Geographical ecology: patterns in the distribution of species. Harper & Row, New York, 288 pp.
  • Makihara H, Saito A (1985) Studies on Leptura arcuata (1), (Coleopt., Cerambycidae). Elytra 12: 5–10.
  • Makihara M, Saito A, Satô M (1991) Studies on the Leptura arcuata species-group (2), (Coleoptera, Cerambycidae). Elytra 19: 5–18.
  • Mikac KM, Lemic D, Bažok R, Benítez HA (2016) Wing shape changes: a morphological view of the Diabrotica virgifera virgifera European invasion. Biological Invasions 18: 3401–3407. https://doi.org/10.1007/s10530-016-1252-9
  • Mustaparta H (1992) Specialization in herbivorous insects. In: Proceedings of the 8th International Symposium on Insect-Plant Relationships. Springer Netherlands, Dordrecht, 395–399. https://doi.org/10.1007/978-94-011-1654-1_127
  • Panin S, Săvulescu N (1961) Insecta. Coleoptera. Familia Cerambycidae (Croitori). Fauna Republicii populare Române 10, 5. Bucureşti, 523 pp.
  • Perrard A, Baylac M, Carpenter JM, Villemant C (2014) Evolution of wing shape in hornets: Why is the wing venation efficient for species identification? Journal of Evolutionary Biology 27: 2665–2675. https://doi.org/10.1111/jeb.12523
  • Pezzoli MC, Guerra D, Giorgi G, Garoia F, Cavicchi S (1997) Developmental constraints and wing shape variation in natural populations of Drosophila melanogaster. Heredity 79: 572–577. https://doi.org/10.1038/hdy.1997.201
  • Prudhomme J, Gunay F, Rahola N, Ouanaimi F, Guernaoui S, Boumezzough A, Bañuls AL, Sereno D, Alten B (2012) Wing size and shape variation of Phlebotomus papatasi (Diptera: Psychodidae) populations from the south and north slopes of the Atlas Mountains in Morocco. Journal of Vector Ecology 37: 137–147. https://doi.org/10.1111/j.1948-7134.2012.00210.x
  • R Core Team (2015) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.r-project.org
  • Ren J, Bai M, Yang X-K, Zhang R-Z, Ge S-Q (2017) Geometric morphometrics analysis of the hind wing of leaf beetles: proximal and distal parts are separate modules. ZooKeys: 131–149. https://doi.org/10.3897/zookeys.685.13084
  • Rohlf F, Slice D (1990) Extensions of the Procrustes Method for the Optimal Superimposition of Landmarks. Systematic Zoology 39: 40–59. https://doi.org/10.2307/2992207
  • Rossa R, Goczał J, Tofilski A (2016) Within- and between -species variation of wing venation in genus Monochamus (Coleoptera: Cerambycidae). Journal of Insect Science 16: 5. https://doi.org/10.1093/jisesa/iev153
  • Rossa R, Goczał J, Tofilski A (2017) Hind wing morphology facilitates discrimination between two sibling species: Leiopus nebulosus and L. linnei (Coleoptera: Cerambycidae). Zootaxa 4227: 266. https://doi.org/10.11646/zootaxa.4227.2.7
  • Sadeghi S, Adriaens D, Dumont HJ (2009) Geometric morphometric analysis of wing shape variation in ten European populations of Calopteryx splendens (Harris, 1782) (Zygoptera: Calopterygidae). Odonatologica 38: 341–357.
  • Saito S, Saito A, Kim C-G, Su Z-H, Osawa S (2002) Phylogeny of the Leptura arcuata Complex (Coleoptera, Cerambycidae) as deduced from mitochondrial ND5 gene sequences. Special bulletin of the Japanese Society of Coleopterology 5: 381–391.
  • Sama G (2002) Atlas of the Cerambycidae of Europe and the Mediterranean Area. Vol.1. Nakladatelství Kabourek, Zlín, 173 pp.
  • Shoda E, Kubota K, Makihara H (2003a) Geographical structure of morphological characters in Semanotus japonicus (Coleoptera: Cerambycidae) in Japan. Applied Entomology and Zoology 38: 369–377. https://doi.org/10.1303/aez.2003.369
  • Shoda E, Kubota K, Makihara H (2003b) Geographical structuring of mitochondrial DNA in Semanotus japonicus (Coleoptera: Cerambycidae). Applied Entomology and Zoology 38: 339–345. https://doi.org/10.1303/aez.2003.339
  • Sláma M (1998) Tesaříkovití – Cerambycidae České republiky a Slovenské republiki (Brouci-Coleoptera). Krhanice, 383 pp.
  • Smith PJ, Fujio Y (1982) Genetic variation in marine teleosts: High variability in habitat specialists and low variability in habitat generalists. Marine Biology 69: 7–20. https://doi.org/10.1007/BF00396955
  • Stein ED, Martinez MC, Stiles S, Miller PE, Zakharov EV (2014) Is DNA barcoding actually cheaper and faster than traditional morphological methods: results from a survey of freshwater bioassessment efforts in the United States? PloS one 9: e95525. https://doi.org/10.1371/journal.pone.0095525
  • Stillwell RC, Fox CW (2009) Geographic variation in body size, sexual size dimorphism and fitness components of a seed beetle: Local adaptation versus phenotypic plasticity. Oikos 118: 703–712. https://doi.org/10.1111/j.1600-0706.2008.17327.x
  • Stillwell RC, Morse GE, Fox CW (2007) Geographic variation in body size and sexual size dimorphism of a seed-feeding beetle. The American Naturalist 170: 358–369. https://doi.org/10.1086/520118
  • Stireman JO, Nason JD, Heard SB (2005) Host-associated genetic differentiation in phytophagous insects: general phenomenon or isolated exceptions? Evidence from a goldenrod-insect community. Evolution; international journal of organic evolution 59: 2573–2587. https://doi.org/10.1111/j.0014-3820.2005.tb00970.x
  • Su J, Guan K, Wang J, Yang Y (2015) Significance of hind wing morphology in distinguishing genera and species of cantharid beetles with a geometric morphometric analysis. ZooKeys 502: 11–25. https://doi.org/10.3897/zookeys.502.9191
  • Vitali F, Schmitt T (2017) Ecological patterns strongly impact the biogeography of western Palaearctic longhorn beetles (Coleoptera: Cerambycoidea). Organisms Diversity & Evolution 17: 163–180. https://doi.org/10.1007/s13127-016-0290-6
  • Wallin H, Kvamme T, Bergsten J (2017) To be or not to be a subspecies: description of Saperda populnea lapponica ssp. n. (Coleoptera, Cerambycidae) developing in downy willow (Salix lapponum L.). ZooKeys 691: 101–148. https://doi.org/10.3897/zookeys.691.12880
  • Wood TK, Tilmon KJ, Shantz AB, Harris CK, Pesek J (1999) The role of host-plant fidelity in initiating insect race formation. Evolutionary Ecology Research 1: 317–332.
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