Research Article |
Corresponding author: Nelson A. Canal ( nacanal@ut.edu.co ) Academic editor: Teresa Vera
© 2015 Nelson A. Canal, Vicente Hernández-Ortiz, Juan Tigrero, Denise Selivon.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Canal NA, Hernández-Ortiz V, Tigrero Salas JO, Selivon D (2015) Morphometric study of third-instar larvae from five morphotypes of the Anastrepha fraterculus cryptic species complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 41-59. https://doi.org/10.3897/zookeys.540.6012
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The occurrence of cryptic species among economically important fruit flies strongly affects the development of management tactics for these pests. Tools for studying cryptic species not only facilitate evolutionary and systematic studies, but they also provide support for fruit fly management and quarantine activities. Previous studies have shown that the South American fruit fly, Anastrepha fraterculus, is a complex of cryptic species, but few studies have been performed on the morphology of its immature stages. An analysis of mandible shape and linear morphometric variability was applied to third-instar larvae of five morphotypes of the A. fraterculus complex: Mexican, Andean, Ecuadorian, Peruvian and Brazilian-1. Outline geometric morphometry was used to study the mouth hook shape and linear morphometry analysis was performed using 24 linear measurements of the body, cephalopharyngeal skeleton, mouth hook and hypopharyngeal sclerite. Different morphotypes were grouped accurately using canonical discriminant analyses of both the geometric and linear morphometry. The shape of the mandible differed among the morphotypes, and the anterior spiracle length, number of tubules of the anterior spiracle, length and height of the mouth hook and length of the cephalopharyngeal skeleton were the most significant variables in the linear morphometric analysis. Third-instar larvae provide useful characters for studies of cryptic species in the A. fraterculus complex.
South American fruit fly, immature, taxonomy, geometric morphometry, linear morphometry, morphotypes
Some species within the Tephritidae family are among the most important pests for agriculture because of their direct effects on fruit production and the quarantine restrictions imposed to prevent the transfer of foreign species from one region to another (
The definition and determination of species is one of the most important topics in modern systematics. Traditionally, the description of species has been based on the study of morphological characteristics. In recent decades, other biological, ecological, genetic and evolutionary tools have been integrated with morphology to find new species, particularly within cryptic species complexes (
The South American fruit fly, Anastrepha fraterculus (Wiedemann), is a species of great economic importance within the genus and is subject to quarantine restrictions. It is widely distributed in America and is associated with a large number of host fruits (
Studies of the immature stages may be informative for the definition of species limits as well as for studies of phylogeny and evolution (
The study of larvae would benefit from more sophisticated tools for measuring the extant morphologic variability, as could be the case of shape analysis of certain structures, since forms are among the features that show differences in the speciation processes (
The aim of this study was to perform a comparative analysis of third instar larvae of representatives of five morphotypes of the A. fraterculus complex (Mexican, Andean, Peruvian, Brazilian-1 and Ecuadorian). Through the use of geometric morphometry of the shape of the mouth hook and linear morphometry of larvae, we tested several variables and determined their usefulness in the differentiation of these morphotypes.
Biological material. The taxonomic identity of all larvae used in this study was fully known from associated reared adults and the diagnoses developed by
Data on collection of third-instar larvae of five morphotypes of the Anastrepha fraterculus complex.
Morphhotype | Country | State | Municipality | Host | Latitude | Longitude | Altitude |
---|---|---|---|---|---|---|---|
Andean | Colombia | Boyaca | Duitama | Guava feijoa (Acca sellowiana) | 5°49'29,9"N | 73°04'29,7"W | 2569 |
Brazil sp1 | Brazil | São Paulo | Itaquera | Guava (Psidium guajaba) | 23°30'S | 46°40'W | 700 |
Ecuadorian | Ecuador | Pichincha | Quito | Custard apple (Annona cherimola) | 00°06'47"S | 78°25'33"W | 1861 |
Mexican | Mexico | Veracruz | Teocelo | Guava | 19°23'8"N | 96°58'20"W | 1190 |
Peruvian | Peru | Lima | La Molina | Custard apple | 12°00'03"S | 76°57´00"W | 255 |
Preparation of larvae. Larvae were prepared following methods described by
The left mouth hook was carefully separated, and the remaining tissue was removed as much as possible. Permanent slides were made with Canada balsam, putting the mandible in lateral view, and were deposited in the Museum of the Laboratory of Entomology at the University of Tolima. The mounting were done placing small amounts of Canada balsam each time to keep the mouth hooks in the best position to minimize the error.
Image capture. All pictures were taken with a Moticam10 digital camera, coupled to an Advance Optical stereoscopic microscope for digital images of the body, and a Carl Zeiss Primo Star Trinocular microscope was used for pictures of the mouthparts. In both cases, the camera had a 10X lens. The cephalopharyngeal skeleton and the anterior spiracle were photographed with a 10X objective, and the hypopharyngeal sclerite and mouth hook were photographed with a 40X objective. All digital images were taken at high resolution (3,664 × 2,748 pixels). The mouth hook at 400× magnification resulted in a 3D figure with blurred edges; therefore, multiple shots (between six and 10) were taken at different focal planes and later assembled with the software Helicon Focus 6.0.18 (
Outline Geometric Morphometry. The assessment of the shape variation of the mouth hook among the samples was performed using an elliptical Fourier analysis (EFA) (
Linear morphometry. Samples were compared with a discriminant function analysis (DFA) applied over either linear measures between two points or the ratio between them. Measurements suggested by Steck and Wharton (1989),
The mouth hook morphology was observed carefully. Its shows a medial nub in the ventral curve, where the cuticle and muscles attaches, with a front and a rear notches next to it that extend to the top; a posterior apodema, like a neck, is also found. The anterior part of the dorsal apodema could be found where the slope turns greater (Figure
All measurements were done on the digitized images of the structures. After variables were defined, measurements were performed three times by a single observer (NA Canal), but no differences in outcomes were found. Twenty-four variables were used, 15 of which corresponded to linear measurements, and nine to the ratios between various pairs (Figure
BL: body length; BW: body width at the sixth abdominal tergite; CSL: cephalopharyngeal skeleton length, from the anterior apex of the mandible to the end of the ventral cornua, at lower end of the dorsal cornua; HSL: hypopharyngeal sclerite length, from mouth hook joint to the rear distal point; and HSH: height of the hypopharyngeal sclerite at the anterior base of the hypopharyngeal bridge, perpendicular to the upper edge. The measurements of the mouth hook were M1: length from the apex to the ventral apodeme, M2: length from the apex to the dorsal most tip of neck, M3: length from the apex to the anterior base of the dorsal apodeme, M4: height from the apex of the ventral apodeme to the anterior base of the dorsal apodeme, M5: depth of ventral concavity from line M1 to tip of nub, M6: thickness of mouthhook at posterior base of nub by the posterior notch, M7: distance between the posterior base of nub and dorsal most tip of neck, and M8: width of the ventral apodeme at the base of the neck, in a line parallel to M1. ASL: width of the left anterior spiracle between the apices of the most extreme tubules, AST: number of tubules of the anterior spiracles, X1: BL/BW, X2: M1/M4, X3: M2/M4, X4: M1/M5, X5: M2/M5, X6: M3/M4, X7: CSL/HSL, X8: CSL/M3, and X9: CSL/M1.
Data analysis. The shape of the mouth hook was studied with an outline analysis in a two-dimensional plane, for which an EFA (
For the linear morphometry, a multivariate analysis was performed. The mean and standard deviations were calculated, and normality and homogeneity of variance tests were run for each of the variables. To assess the probability of individuals being classified into the predicted groups defined by the morphotypes and the contribution of each of the variables for group discrimination, a DFA was performed on the complete dataset, with the forward stepwise method. A canonical analysis was done to determine the canonical variables and their significance through a Chi-squared test. All analyses were performed using Statistica 12 (
Mouth hook shape. The discriminant function analysis showed that all the samples studied differed in the shape of the mouth hook (Figure
Grouping analysis of five morphotypes of the Anastrepha fraterculus complex, according to the shape of the mouth hook of third-instar larvae based on the values of the first two canonical factors in the discriminant analysis. The contribution of the first factor was 44%, and that of the second was 27%.
The mouth shape outlines for each individual were aligned, rotated and grouped to build the representative shapes of the morphotypes (Figure
Size variability of the individuals. The variability of the individual sizes was studied through the morphometry of the larvae. The DFA included all 18 variables of the model (excluding CSL, M2, X4, X6, X7, and X8); 10 of the variables resulted in statistically significant differences for the segregation of the morphotypes (Wilks’ Lambda: 0.005 approx. F(72,309)=12.224, p<0.0001) (Table
Independent contribution to the discriminant model of each of the variables measured from third-instar larvae of five morphotypes of the Anastrepha fraterculus complex. * < 0.05 = statistically significant.
Variables | Wilks’ Lammbda | F-remove (4.78) | p-value |
---|---|---|---|
ASD | 0.006756 | 6.85482 | <0.0001* |
M5 | 0.005493 | 1.92970 | 0.113783 |
ASL | 0.008777 | 14.74068 | <0.0001* |
X9 | 0.006039 | 4.05858 | 0.004* |
M6 | 0.005942 | 3.67924 | 0.008* |
X1 | 0.006071 | 4.18342 | 0.004* |
M3 | 0.005450 | 1.76149 | 0.145094 |
X3 | 0.005190 | 0.74581 | 0.563734 |
M1 | 0.005842 | 3.29114 | 0.015* |
HSL | 0.005989 | 3.86235 | 0.006* |
HSH | 0.005509 | 1.99152 | 0.103994 |
X2 | 0.005472 | 1.84521 | 0.128604 |
M8 | 0.006221 | 4.76893 | 0.001* |
M4 | 0.005597 | 2.33372 | 0.062912 |
M7 | 0.005471 | 1.84152 | 0.129291 |
BL | 0.006709 | 6.67357 | 0.0001* |
BW | 0.006513 | 5.90854 | 0.0003* |
X5 | 0.005293 | 1.14799 | 0.340365 |
Means and standard deviations of 24 morphometric variables of third-instar larvae of five morphotypes of the Anastrepha fraterculus complex. * Statistical difference.
Population | BL | BW | HSL | HSH | CSL | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | X1 | X2 | X3 | X4 | X5 | X6 | ASL | ASD | X7 | X8 | X9 | Valid N |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andean | 9.22±0.97 | 2.09±0.19 | 0.2±0.015 | 0.07±0.006 | 1.14±0.07 | 0.17±0.01 | 0.25±0.01 | 0.23±0.01 | 0.15±0.016 | 0.08±0.007 | 0.06±0.008 | 0.1±0.007 | 0.06±0.008 | 4.41±0.31 | 1.14±0.10 | 1.69±0.15 | 2.21±0.24 | 3.26±0.32 | 1.55±0.10 | 0.34±0.07 | 14.45±0.89 | 5.79±0.32 | 4.96±0.39 | 6.72±0.49 | 20 |
BrasilSp1 | 8.77±0.74 | 1.71±0.29 | 0.17±0.012 | 0.07±0.007 | 1.05±0.04 | 0.15±0.02 | 0.23±0.02 | 0.21±0.02 | 0.14±0.016 | 0.08±0.006 | 0.05±0.007 | 0.09±0.006 | 0.05±0.005 | 5.23±0.72 | 1.07±0.08 | 1.59±0.11 | 2.03±0.26 | 3±0.31 | 1.44±0.09 | 0.19±0.02 | 10.55±0.83 | 6.09±0.45 | 5.14±0.36 | 6.91±0.70 | 20 |
Peruvian | 9.48±0.38 | 1.87±0.14 | 0.18±0.007 | 0.07±0.005 | 1.09±0.04 | 0.14±0.01 | 0.22±0.01 | 0.21±0.01 | 0.14±0.008 | 0.08±0.005 | 0.05±0.004 | 0.09±0.007 | 0.06±0.006 | 5.1±0.34 | 1±0.07 | 1.56±0.09 | 1.9±0.17 | 2.94±0.21 | 1.46±0.07 | 0.2±0.02 | 11.55±1.0 | 6.09±0.25 | 5.19±0.28 | 7.56±0.45 | 20 |
Ecuador | 10.02±0.37 | 1.89±0.13 | 0.21±0.013 | 0.07±0.008 | 1.15±0.04 | 0.16±0.01 | 0.26±0.01 | 0.25±0.01 | 0.16±0.012 | 0.08±0.006 | 0.06±0.006 | 0.1±0.006 | 0.07±0.007 | 5.32±0.31 | 1.01±0.09 | 1.59±0.11 | 1.98±0.16 | 3.12±0.23 | 1.51±0.09 | 0.24±0.02 | 14.1±1.12 | 5.47±0.28 | 4.68±0.24 | 7.02±0.48 | 20 |
Mexico | 9.7±0.73 | 2±0.17 | 0.19±0.026 | 0.07±0.009 | 1.15±0.11 | 0.18±0.03 | 0.27±0.03 | 0.25±0.03 | 0.17±0.023 | 0.09±0.008 | 0.06±0.011 | 0.11±0.014 | 0.06±0.010 | 4.86±0.32 | 1.07±0.05 | 1.6±0.07 | 1.93±0.22 | 2.89±0.23 | 1.49±0.09 | 0.23±0.03 | 12.75±1.02 | 5.98±0.31 | 4.55±0.24 | 6.34±0.51 | 20 |
All Grps | 9.44±0.79 | 1.91±0.23 | 0.19±0.02 | 0.07±0.007 | 1.12±0.08 | 0.16±0.02 | 0.25±0.03 | 0.23±0.02 | 0.15±0.019 | 0.08±0.009 | 0.06±0.009 | 0.1±0.011 | 0.06±0.009 | 4.98±0.54 | 1.06±0.09 | 1.61±0.12 | 2.01±0.24 | 3.04±0.29 | 1.49±0.10 | 0.24±0.06 | 12.68±1.77 | 5.88±0.40 | 4.9±0.39 | 6.91±0.66 | 100 |
The canonical analysis resulted in four canonical roots, and the Chi-squared test showed statistical significance for all the roots. CV-1 had 51.6% of the discrimination power, CV-2 had 24.2%, CV-3 had 19.3% and CV-4 had 4.9%. In the first root, variables with major contribution to the separation of the groups were the anterior spiracle length (ASL) and the number of tubules of the anterior spiracle (AST), followed in importance by the hypopharyngeal sclerite length (HSL), body width (BW), and dimensions of the mouth hook M3 (length from the apex to the most distal and dorsal point) and M8 (width of the ventral apodeme). The most important variables for CV-2 were the ASL, BL/BW (X1) and mouth hook length/width (X2), followed by the BL and HSL (Table
Correlation between the variables and canonical roots from the discriminant analysis for 24 measurements of third-instar larvae of five morphotypes of the Anastrepha fraterculus complex.
Variable | Root 1 | Root 2 | Root 3 | Root 4 |
---|---|---|---|---|
ASD | -0.545921 | -0.100158 | -0.344710 | 0.172453 |
M5 | 0.041755 | -0.071879 | -0.653270 | 0.146808 |
ASL | -0.513976 | 0.354166 | -0.104138 | -0.004608 |
X9 | 0.036323 | -0.175930 | 0.385942 | 0.368080 |
M6 | -0.119046 | -0.177843 | -0.293162 | -0.329549 |
X1 | 0.159367 | -0.335778 | 0.090498 | -0.231802 |
M3 | -0.183020 | -0.159496 | -0.634346 | 0.078811 |
X3 | -0.118893 | 0.134014 | -0.037045 | -0.103410 |
M1 | -0.106642 | 0.111731 | -0.475412 | -0.141087 |
HSL | -0.254104 | -0.211098 | -0.239891 | -0.017785 |
HSH | -0.071814 | 0.014497 | 0.099759 | 0.055553 |
X2 | -0.103959 | 0.305811 | -0.053167 | -0.234816 |
M8 | -0.189002 | -0.150179 | -0.247975 | 0.111262 |
M4 | -0.038899 | -0.119367 | -0.407167 | 0.016389 |
M7 | -0.077578 | -0.007283 | -0.429200 | 0.136471 |
BL | -0.075040 | -0.250882 | -0.204123 | 0.306914 |
BW | -0.182774 | 0.132194 | -0.198878 | 0.344580 |
X5 | -0.177914 | 0.039586 | 0.090199 | -0.187916 |
Eigenvalue | 6.9315 | 3.239 | 2.599 | 0.653 |
Cumulative proportion | 0.5164 | 0.758 | 0.951 | 1.000 |
The prediction model indicated that 96% of the individuals were correctly placed in their respective morphotypes; all of the Andean and Ecuadorian specimens were properly classified, and only two individuals from Brazilian-1, one from Mexico and one from Peru were incorrectly classified (Table
Classification matrix of individuals according to a predictive model of third-instar larvae of five morphotypes of the Anastrepha fraterculus complex. Rows: Observed classifications; Columns: Predicted classifications. Same probabilities for all the groups.
Group | Percent | Andean | Brasil sp1 | Peruvian | Ecuador | Mexico |
---|---|---|---|---|---|---|
Andean | 100.0000 | 20 | 0 | 0 | 0 | 0 |
BrasilSp1 | 90.0000 | 0 | 18 | 2 | 0 | 0 |
Peruvian | 95.0000 | 0 | 1 | 19 | 0 | 0 |
Ecuadorian | 100.0000 | 0 | 0 | 0 | 20 | 0 |
Mexican | 95.0000 | 0 | 1 | 0 | 0 | 19 |
Total | 96.0000 | 20 | 20 | 21 | 20 | 19 |
The results obtained from our study of the mouth hook shape of the third-instar larvae established that variation exists in the shape of this structure that usefully separates the five morphotypes. Moreover, it was possible to confirm the presence of variability in the dorsal and ventral apodeme areas. Geometric morphometry is a sensitive tool to study the presence of cryptic species (
Geometric morphometry has been used for differentiation of fruit flies (
The results of the linear morphometry were also highly satisfactory, reaching a 96% accuracy of the predicted classification for the studied individuals. According to what was previously reported regarding size variation of insects through generations of laboratory rearing (
Still these techniques have some difficulties. The most common errors made in this analysis result from poor mounting of structures, digital imaging and determination of landmarks (
Specimens studied here derive from different sources, either from wild samples reared on natural hosts or from lab strains reared on artificial diets, however we do not know the effects of this on the measured structures, and further studies are needed. Some authors have suggested that developmental conditions affect the size of insects (
In many cases, the use of morphological characters of immature stages of insects for phylogenetic studies has helped to improve the understanding of relationships among groups (see revision in
Outline geometric morphometry and linear morphometry proved to be useful tools for the study of cryptic species of the A. fraterculus complex. The results obtained from this work with third-instar larvae should be expanded to include additional populations to strengthen the dataset and advance our tools to study cryptic species of economically important fruit flies.
The senior author thanks COLCIENCIAS (project 1105-489-25567), the International Atomic Energy Agency (project 16060/R0) and the Research Fund of the University of Tolima for financial support given for this study; VHO acknowledges the International Atomic Energy Agency for funding the research project (16080/R0). Financial support by the IAEA was provided as part of the FAO/IAEA Coordinated Research Project on “Resolution of cryptic species complexes of tephritid pests to overcome constraints to SIT and international trade”. DS is a fellow of CNPq.