Research Article |
Corresponding author: Maria del Rosario Castañeda ( mrcasta@ut.edu.co ) Academic editor: Teresa Vera
© 2015 Maria del Rosario Castañeda, Denise Selivon, Vicente Hernández-Ortiz, Alberto Soto, Nelson A. Canal.
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:
Castañeda MR, Selivon D, Hernández-Ortiz V, Soto A, Canal NA (2015) Morphometric divergence in populations of Anastrepha obliqua (Diptera, Tephritidae) from Colombia and some Neotropical locations. 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: 61-81. https://doi.org/10.3897/zookeys.540.6013
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The West Indian fruit fly, Anastrepha obliqua, is one of seven species of quarantine importance of its genus and is one of the most economically important fruit fly pests in Colombia. The taxonomic status of this species is a key issue for further implementation of any pest management program. Several molecular studies have shown enough variability within A. obliqua to suggest its taxonomic status could be revised; however, there are no morphological studies supporting this hypothesis. The aim of this work was to describe the morphological variability of Colombian populations of A. obliqua, comparing this variability with that of other samples from the Neotropics. Measurements were performed on individuals from 11 populations collected from different geographic Colombian localities and were compared with populations from Mexico (2), Dominica Island (1), Peru (1) and Brazil (2). Linear morphometric analyses were performed using 23 female morphological traits, including seven variables of the aculeus, three of the thorax, and six of the wing; seven ratios among them were also considered. Discriminant function analyses showed significant morphological differentiation among the Colombian populations, separating them into two groups. Furthermore, in the comparisons between Colombian samples with those from other countries, three clusters were observed. The possibility of finding more than one species within the nominal A. obliqua population is discussed.
West Indian fruit fly, taxonomy, linear morphometry
Anastrepha Schiner is the most diverse and economically important genus of fruit flies in the Neotropics, with more than 250 described species (
The West Indian fruit fly belongs to the fraterculus group, which involves 34 species (
Other studies have also suggested variability within the species. Karyotype descriptions of Brazilian and Mexican samples reflect the existence of a constriction at the apical end of the X chromosome (
In Colombia, mango is the second most important fruit product based on its planting area and it is cultured at low altitudes throughout the country. Anastrepha obliqua is one of the biggest limiting factors of its production (
The Sterile Insect Technique (SIT), for the control of the West Indian fruit fly” has been implemented in Mexico, and this fly is one of the priority species for the development of this technique in other regions (
The study of the interpopulation variability of A. obliqua in Colombia or other areas of the Neotropics is particularly relevant to determine if this nominal species is composed by a cryptic species complex considering the implications this has for fruit international trade. These studies are also important for the implementation of pest management systems in different regions, such as the SIT. The aim of this study was to describe the morphologic variability of A. obliqua through the use of multivariate morphometric analyzes among Colombian populations distributed throughout the country and through comparisons with populations coming from its distribution range such as Mexico, Peru, Brazil and Dominica Island. The hypotheses of this study is that if there is genetic variation in A. obliqua suggesting the existence of more than a simple biological entity (
The individuals studied were collected from 11 localities of Colombia along the inter-Andean valleys of the Magdalena River (4) and Cauca River (3) and in the Eastern Plains (2) and the Caribbean Plains (2) (Figure
Geographic distribution of populations of Anastrepha obliqua collected in Colombia for morphometric analysis: 1 Cienaga 2 Huacachi 3 Villanueva 4 Puerto Colombia 5 Anolaima 6 Coello 7 Espinal, 8 Guamo 9 La Tebaida 10 Zarzal, and 11 La Unión. (Image from https://elpaisdelcafe.files.wordpress.com/2012/02/200px-colombia_topography.png)
Country | Population | State | City | Host | Data | Latitude | Longitude | Altitude | n |
---|---|---|---|---|---|---|---|---|---|
Colombia | Anolaima | Cundinamarca | Anolaima | Mangifera indica | 6/8/2010 | 4°43'23"N | 74°25'4"W | 972 | 20 |
Coello | Tolima | Coello | Spondias mombin | 8/28/2010 | 4°16'55"N | 74°54'16"W | 309 | 20 | |
Guamo | Guamo | Spondias purpurea | Lab rearing | 4°04'35"N | 74°59'35"W | 345 | 20 | ||
Espinal | Espinal | Mangifera indica | Lab rearing | 4°11'59"N | 74°58'0.7"W | 380 | 20 | ||
La Union | Valle del Cauca | La Unión | Mangifera indica | 11/12/2013 | 4°33'53"N | 76°05'22"W | 954 | 14 | |
Zarzal | Zarzal | Mangifera indica | 11/11/2013 | 4°25'33"N | 76°03'43"W | 954 | 19 | ||
La Tebaida | Quindio | La tebaida | Spondia sp. | 7/10/2010 | 4°29'42"N | 75°41'36"W | 1409 | 20 | |
Villanueva | Casanare | Villanueva | Spondia sp. | 3/22/2013 | 4°22'13"N | 72°46'17"W | 160 | 20 | |
PuertoC | Guaviare | Purto Colombia | McPhail Traps | 10/09/09 | 2°36'13"N | 72°39'W | 189 | 20 | |
Huacachi | Cesar | Huacachi | Mangifera indica | 8/6/2013 | 10°30'25"N | 73°0.9'47"W | 136 | 20 | |
Cienaga | Magdalena | Cienaga | McPhail Traps | 8/1/2005 | 11°58'92"N | 74°12'18"W | N.R | 18 | |
México | Mex-Pacific | Guerrero | Los Ayutlas | McPhail Traps | 06/28/2008 | 16°59'17"N | 99°04'57"W | 340 | 20 |
Mex-Gulf | Veracruz | Los Tuxtlas | Spondias sp | 10/19/2012 | 18°26'36"N | 95°02'46"W | 397 | 20 | |
Brasil | Brazil-1 | São Paulo | USP | Spondias mombin | Lab rearing | 23°33'55"S | 46°44'04"W | 780 | 9 |
Brazil-2 | São Paulo | USP | Spondias mombin | Lab rearing | 23°33'55"S | 46°44'04"W | 780 | 10 | |
Peru | Peru-Pacific | McPhail Traps | ND | ND | ND | ND | 20 | ||
Isla Dominica | Caribe | McPhail Traps | ND | 15°31'24"N | 61°21'56"W | ND | 17 |
Morphometric studies were conducted on the aculeus, right wing and mesonotum of randomly selected five-day-old females following methods for the study of the A. fraterculus complex described by
The wing and the mesonotum were photographed with a Moticam10X camera adapted to a stereomicroscope. The images were measured with the software Motic Image Plus 2.0 (Motic 2013); all measurements were performed by only one observer (MRC).
For the study, 23 variables were used (Figure
The samples were grouped according to their geographical origin to discern the degree of variability or possible differentiation between populations. The mean and standard deviation were calculated for each of the variables. A discriminant function analysis (DFA) was applied to the set of variables. Measures of the mean distances of the data were derived from the comparison of pairs of centroids, expressed as the Mahalanobis distance (MD). The functions were evaluated by applying a canonical correlation analysis to determine the significance and discrimination power of the model and the specific variables responsible for the segregation of the groups. All statistical analyses were conducted using the software Statistica 12 (
The results of the DFA applied to 11 Colombian populations of Anastrepha obliqua showed significant differences among them (Wilks’ Lambda: 0.00444, F (180,1498) = 7.0895, p < 0.0001). The exploratory model included 23 variables assessed, and 15 of them had a significant contribution to the model (P < 0.05): aculeus (A2, A3, A4, A7, A8, A9 and A10), wing (W1, W3, W4 and W5) and mesonotum (M1 and M2); significant differences in the ratios of X1 and X2 were also observed (Table
Discriminant function analysis summary of 11 Colombian populations of Anastrepha obliqua. Only significant variables in the model are included.
Variables | Wilks’ Lambda | F-remove 10,167 | p-level | R-Square |
---|---|---|---|---|
W4 | 0.006767 | 8.825243 | < 0.0001 | 0.280973 |
A2 | 0.005525 | 4.120675 | < 0.0001 | 0.521245 |
A9 | 0.005423 | 3.736215 | 0.000151 | 0.990530 |
A4 | 0.005394 | 3.627670 | 0.000215 | 0.995470 |
W3 | 0.005309 | 3.305551 | 0.000614 | 0.101540 |
M2 | 0.005235 | 3.023529 | 0.001528 | 0.631673 |
M1 | 0.005153 | 2.713091 | 0.004108 | 0.987195 |
A8 | 0.005138 | 2.655682 | 0.004922 | 0.995699 |
W5 | 0.005116 | 2.572283 | 0.006392 | 0.118329 |
X1 | 0.005097 | 2.502542 | 0.007942 | 0.988528 |
A3 | 0.005069 | 2.394307 | 0.011094 | 0.644490 |
X2 | 0.005058 | 2.353962 | 0.012554 | 0.996985 |
W1 | 0.005055 | 2.343680 | 0.012954 | 0.996412 |
A7 | 0.005029 | 2.243795 | 0.017544 | 0.278160 |
A10 | 0.004946 | 1.927770 | 0.044553 | 0.986000 |
The Chi-squared tests indicated that the first eight, of the resulting ten canonical roots, were significant. Based on the standardized coefficients for the significant morphological variables, the first canonical root (CV-1) represented 63.1% of the model discrimination, CV-2 represented 13.5% and CV-3 represented 7.2% (Table
Standardized coefficients for canonical variables resulting from the discriminant function analysis of 11 Colombian population of Anastrepha obliqua. All canonical roots were significant.
Variables | Root 1 | Root 2 | Root 3 | Root 4 | Root 5 | Root 6 | Root 7 | Root 8 |
---|---|---|---|---|---|---|---|---|
A2 | 0.391 | -0.131 | -0.453 | -0.417 | -0.136 | 0.526 | 0.020 | -0.392 |
A8 | 0.970 | 2.180 | 2.065 | -5.627 | -2.515 | -5.268 | -4.700 | -1.553 |
M2 | -0.396 | 0.555 | 0.263 | 0.021 | -0.230 | -0.093 | 0.094 | -0.243 |
W4 | 0.021 | -0.272 | -0.887 | 0.073 | 0.103 | -0.369 | 0.060 | 0.352 |
A10 | -0.798 | -1.386 | -0.290 | 3.342 | -1.684 | 0.533 | 0.084 | -0.658 |
W3 | 0.084 | 0.006 | -0.446 | 0.271 | -0.064 | 0.049 | -0.442 | -0.009 |
A4 | 0.346 | -0.572 | -2.466 | 4.026 | 5.605 | 6.379 | 6.264 | 2.871 |
A9 | 0.480 | 0.467 | -1.652 | 2.147 | 4.136 | 4.178 | 4.718 | 2.849 |
W2 | 0.165 | -0.241 | 0.056 | -0.037 | 0.317 | 0.647 | 0.377 | -0.686 |
W5 | 0.038 | 0.072 | 0.022 | 0.088 | 0.334 | 0.333 | -0.522 | 0.410 |
A3 | 0.382 | -0.141 | 0.422 | -0.092 | -0.384 | -0.286 | 0.126 | 0.669 |
A7 | -0.252 | 0.222 | -0.064 | 0.011 | 0.318 | 0.099 | 0.314 | 0.207 |
M3 | 0.274 | 0.574 | -0.672 | -0.455 | 0.127 | 0.629 | -0.436 | 0.095 |
X2 | -0.038 | -5.365 | 1.610 | 3.953 | -1.078 | -2.621 | -1.080 | -9.026 |
W1 | 0.030 | -4.933 | 1.722 | 3.171 | -0.856 | -2.958 | -1.380 | -8.032 |
M1 | -1.661 | 2.220 | -1.475 | -1.368 | -0.243 | -0.342 | 3.662 | 0.908 |
X1 | -1.273 | 2.550 | -1.813 | -1.511 | -0.398 | 0.184 | 3.680 | 0.877 |
A1 | 0.657 | 1.293 | 0.231 | -0.453 | 0.740 | 0.977 | -0.878 | 3.841 |
Eigenvalue | 7.660 | 1.637 | 0.891 | 0.618 | 0.488 | 0.350 | 0.233 | 0.141 |
Cummulative % | 0.631 | 0.766 | 0.839 | 0.890 | 0.930 | 0.959 | 0.978 | 0.990 |
The scatterplot obtained with the first two discriminant functions (Root 1 and Root 2) indicates the formation of two distinct groups. The first group was composed by nine populations distributed along the middle Valley and lower Magdalena River (Anolaima, Coello, Espinal, Guamo, Cienaga, and Huacachi), one sample in the Andean basin of the Cauca River (La Tebaida), and two in the eastern Plains (Villanueva and Puerto Colombia). The second group was composed by two populations located in the Cauca River Valley (La Unión and Zarzal) (Figure
The largest Mahalanobis distances were found between Zarzal and La Unión with respect to the other populations (MD = 45.38–76.04 and MD = 32.89–58.3, respectively); the other nine populations had distances between 5.47 and 23.27 (Fig.
The grouping of 11 Colombian populations based on the means of all of the variables resulted in the formation of two large clusters (Euclidian Distance=142): one included the Zarzal and La Union populations, and the second comprising the remaining nine populations (Figure
The comparison of the Colombian populations with the external populations was conducted by sorting the Colombian populations into two groups according to our previous results. The first (Colombia-1) included the populations of the Magdalena Valley, the Coast and the eastern Plains, and the second (Colombia-2) included the individuals of La Unión and Zarzal. Discriminant analysis was performed for all 23 variables; however the W5 and W6 put too far the Brazilian populations and hindered the variability among other groups. Hence, a DFA was applied with 21 morphometric variables (excluding W5 and W6), and a significant differentiation was found among the groups (Wilks’ Lambda: 0.00596, F (119,1724) = 17.300; p < 0.0001). This model was constructed with the 17 variables resulted of significance (Table
Discriminant function analysis summary of Anastrepha obliqua grouped by Colombian morphos and other Neotropical samples. Only significant variables in the model are included.
Variables | Wilks’ Lambda | F-remove (7,263) | p-level | R-Square |
---|---|---|---|---|
W3 | 0.009257 | 20.74111 | < 0.0001 | 0.160514 |
W1 | 0.008741 | 17.49202 | < 0.0001 | 0.997393 |
A1 | 0.008487 | 15.89532 | < 0.0001 | 0.987234 |
X2 | 0.008162 | 13.84414 | < 0.0001 | 0.996066 |
W4 | 0.007055 | 6.87049 | < 0.0001 | 0.188851 |
A10 | 0.006982 | 6.41526 | < 0.0001 | 0.959241 |
M1 | 0.006709 | 4.69552 | 0.000056 | 0.997781 |
X3 | 0.006672 | 4.46242 | 0.000104 | 0.996826 |
A7 | 0.006670 | 4.44466 | 0.000109 | 0.248941 |
A8 | 0.006569 | 3.80834 | 0.000586 | 0.993947 |
W2 | 0.006541 | 3.63394 | 0.000927 | 0.735419 |
A3 | 0.006487 | 3.29340 | 0.002249 | 0.637386 |
M3 | 0.006421 | 2.87547 | 0.006557 | 0.830076 |
M2 | 0.006406 | 2.78386 | 0.008263 | 0.630219 |
A2 | 0.006381 | 2.62708 | 0.012231 | 0.586167 |
A9 | 0.006371 | 2.56574 | 0.014242 | 0.987284 |
A5 | 0.006291 | 2.05764 | 0.048489 | 0.993312 |
Standardized coefficients for canonical variables resulting from the discriminant function analysis of two Colombian population groups and other samples from the Neotropics of Anastrepha obliqua. All canonical roots were significant.
Variables | Root 1 | Root 2 | Root 3 | Root 4 | Root 5 | Root 6 | Root 7 |
---|---|---|---|---|---|---|---|
W3 | -0.14546 | 0.57827 | -0.48720 | -0.13891 | -0.27142 | -0.10810 | -0.3763 |
W1 | 2.34202 | 8.07865 | 1.55013 | 10.35805 | 7.48457 | -1.07338 | 6.4754 |
A1 | 0.23325 | -5.10279 | -1.59967 | -2.67578 | -1.76714 | -0.32702 | 0.0577 |
X2 | 0.14063 | 8.22717 | 1.60284 | 6.11910 | 3.52443 | 0.54381 | -1.0280 |
W4 | 0.05219 | -0.04958 | -0.45978 | -0.15183 | -0.04098 | 0.49208 | 0.0617 |
A10 | -0.26785 | -0.34056 | -1.26399 | 1.73401 | 1.06799 | 0.34111 | -2.5677 |
M1 | -2.99532 | -0.23069 | 0.69352 | -5.98948 | -6.33550 | 2.14080 | -10.3391 |
X3 | 2.23303 | 0.27413 | -0.47150 | 5.02686 | 4.85777 | -2.58086 | 8.6129 |
A7 | -0.21248 | -0.17495 | -0.31814 | 0.07865 | -0.22900 | -0.15917 | 0.1443 |
A8 | -0.32696 | -0.54133 | 3.10445 | -3.08459 | -3.72604 | -1.88189 | 1.5067 |
W2 | 0.05675 | -0.09495 | -0.36750 | -0.16253 | -0.36755 | -0.80740 | 0.5985 |
A3 | 0.39987 | 0.27838 | -0.02253 | -0.16642 | 0.18564 | 0.16871 | -0.2246 |
M3 | 0.06434 | -0.25025 | -0.11419 | -0.25789 | 0.99853 | 0.42983 | -0.1847 |
M2 | -0.21312 | 0.03360 | -0.09815 | 0.52113 | -0.19375 | 0.09046 | 0.1040 |
A2 | 0.34622 | -0.05214 | 0.04938 | -0.01043 | -0.37470 | 0.23335 | 0.0871 |
A9 | 0.70756 | 0.89411 | -1.52496 | 0.14320 | 2.86986 | 0.96121 | 1.2761 |
A5 | 1.00339 | 1.01537 | -1.71105 | 1.29513 | 3.46539 | 1.19083 | 0.5293 |
Eigenvalue | 5.18751 | 2.05775 | 1.23376 | 0.89666 | 0.40178 | 0.31538 | 0.1344 |
Cummulative % | 50.7 | 70.8 | 82.9 | 91.7 | 95.6 | 98.7 | 100.0 |
The grouping of samples based on the means of all the variables and using the first two canonical roots showed the divergence between the Colombian groups. Colombia-1 was placed in a group with the Mex-Pacific, Peru-Pacific and Caribbean populations; Colombia-2 formed a group with the Mex-Gulf population, and the Brazilian samples remained separate (Figure
The scatterplot obtained by the comparison of the first two discriminant functions (Root 1 and Root 2) and the 3D scatterplot based on the first three canonical roots are shown in Figure
The prediction model was able to correctly assign 93.4% of the individuals in their corresponding groups; all of the Brazilian individuals were classified correctly, and the success rates of the other groups were between 89.5 and 97.4% (Table
Classification matrix of individuals according to a predictive model of two Colombian groups and six Neotropical samples of Anastrepha obliqua. Rows: Observed classifications; Columns: Predicted classifications. Same probabilities for all the groups.
% Correct | Colombia-1 | Colombia-2 | Mex-Pacific | Mex-Gulf | Peru-Pacific | Brazil-1 | Brazil-2 | Caribe | N | |
---|---|---|---|---|---|---|---|---|---|---|
Colombia-1 | 91.8 | 145 | 0 | 10 | 0 | 3 | 0 | 0 | 0 | 158 |
Colombia-2 | 97.4 | 0 | 37 | 0 | 1 | 0 | 0 | 0 | 0 | 38 |
Mex-Pacific | 94.7 | 1 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 19 |
Mex-Gulf | 94.4 | 0 | 0 | 1 | 17 | 0 | 0 | 0 | 0 | 18 |
Peru-Pacific | 93.8 | 0 | 0 | 1 | 0 | 15 | 0 | 0 | 0 | 16 |
Brazil-1 | 100.0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 9 |
Brazil-2 | 100.0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 |
Caribe | 89.5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 19 |
Total | 93.4 | 147 | 37 | 30 | 18 | 19 | 9 | 10 | 17 | 287 |
The means and standard deviations for each of the variables studied are shown in Table
Means and standard deviations (mm) of morphometric variables of two Colombian groups of Anastrepha obliqua females and six other populations from the Neotropics. Values of A9, A10, A11, X1, X2, X3 represent ratios of two variables, W5 and W6 refer to presence/absence.
Variables | Colombia-1 | Brazil-1 | Brazil-2 | Mex-Pacific | Mex-Gulf | Peru-Pacific | Caribe | Colombia-2 |
---|---|---|---|---|---|---|---|---|
A1 | 1.52±0.04 | 1.70±0.02 | 1.72±0.04 | 1.56±0.05 | 1.56±0.03 | 1.60±0.05 | 1.5±0.03 | 1.62±0.04 |
A2 | 0.08±0.00 | 0.09±0.01 | 0.10±0.01 | 0.08±0.01 | 0.10±0.01 | 0.08±0.00 | 0.09±0.01 | 0.10±0.01 |
A3 | 0.07±0.00 | 0.08±0.01 | 0.09±0.01 | 0.07±0.00 | 0.08±0.01 | 0.06±0.00 | 0.07±0.01 | 0.08±0.00 |
A4 | 0.05±0.01 | 0.04±0.01 | 0.06±0.00 | 0.05±0.01 | 0.05±0.01 | 0.06±0.01 | 0.06±0.01 | 0.06±0.01 |
A5 | 0.11±0.01 | 0.12±0.01 | 0.14±0.01 | 0.12±0.01 | 0.13±0.00 | 0.11±0.01 | 0.11±0.01 | 0.14±0.01 |
A6 | 0.17±0.01 | 0.17±0.01 | 0.21±0.01 | 0.17±0.01 | 0.19±0.01 | 0.18±0.01 | 0.17±0.01 | 0.20±0.01 |
A7 | 10.6±0.98 | 11.56±0.39 | 11.03±0.64 | 11.47±0.66 | 10.78±0.89 | 10.5±1.08 | 10.05±0.76 | 10.39±0.89 |
A8 | 0.16±0.01 | 0.16±0.01 | 0.20±0.01 | 0.17±0.01 | 0.19±0.01 | 0.17±0.01 | 0.17±0.01 | 0.19±0.01 |
A9 | 0.42±0.08 | 0.36±0.07 | 0.41±0.05 | 0.39±0.05 | 0.39±0.05 | 0.57±0.07 | 0.53±0.06 | 0.42±0.06 |
A10 | 0.12±0.01 | 0.12±0.01 | 0.14±0.01 | 0.12±0.01 | 0.14±0.01 | 0.13±0.01 | 0.13±0.01 | 0.14±0.01 |
A11 | 1.11±0.01 | 1.12±0.01 | 1.14±0.01 | 1.12±0.01 | 1.13±0.00 | 1.11±0.01 | 1.11±0.01 | 1.14±0.01 |
W1 | 6.62±0.31 | 6.9±0.41 | 7.27±0.15 | 6.86±0.16 | 7.44±0.19 | 6.68±0.27 | 6.76±0.33 | 6.84±0.27 |
W2 | 2.7±0.14 | 2.77±0.18 | 3.01±0.06 | 2.90±0.07 | 3.03±0.11 | 2.78±0.15 | 2.83±0.14 | 2.77±0.12 |
W3 | 0.45±0.05 | 0.43±0.1 | 0.45±0.05 | 0.57±0.04 | 0.60±0.07 | 0.52±0.05 | 0.61±0.05 | 0.47±0.06 |
W4 | 1.31±0.14 | 1.54±0.05 | 1.48±0.09 | 1.45±0.1 | 1.44±0.11 | 1.40±0.11 | 1.54±0.09 | 1.35±0.11 |
W5 | 1.03±0.18 | 1.11±0.33 | 1±0 | 1±0 | 1±0 | 1±0 | 1±0 | 1±0 |
W6 | 1.07±0.26 | 2±0 | 2±0 | 1.05±0.23 | 1±0 | 1±0 | 1±0 | 1.05±0.23 |
M1 | 3.07±0.2 | 2.95±0.2 | 3.05±0.11 | 3.24±0.11 | 3.18±0.16 | 3.25±0.13 | 3.00±0.17 | 2.96±0.18 |
M2 | 1.95±0.13 | 1.98±0.05 | 1.93±0.07 | 2.01±0.06 | 2.04±0.1 | 2.04±0.12 | 1.89±0.13 | 1.87±0.12 |
M3 | 1.93±0.13 | 1.89±0.06 | 1.95±0.09 | 2.01±0.08 | 2.02±0.1 | 2.09±0.11 | 1.92±0.13 | 1.88±0.13 |
X1 | 0.50±0.04 | 0.58±0.04 | 0.57±0.02 | 0.48±0.02 | 0.49±0.03 | 0.49±0.02 | 0.50±0.03 | 0.55±0.04 |
X2 | 0.23±0.01 | 0.25±0.02 | 0.24±0.01 | 0.23±0.01 | 0.21±0.01 | 0.24±0.01 | 0.22±0.01 | 0.24±0.01 |
X3 | 0.46±0.02 | 0.43±0.02 | 0.42±0.01 | 0.47±0.02 | 0.43±0.02 | 0.49±0.02 | 0.44±0.01 | 0.43±0.03 |
n | 158 | 9 | 15 | 19 | 18 | 16 | 19 | 38 |
The morphometric analysis of natural populations of A. obliqua from Colombia resulted in the separation of individuals into two groups. The Zarzal and La Unión populations had the greatest values for ovipositor width at the end of the oviduct (A2, 0.09–0.11 mm); width at the beginning of the serrated section (A3, 0.08–0.09 mm); length of the tip of the aculeus (A4, 0.12–0.15 mm); length of the apex of the aculeus (A4+A5, 0.18–0.21 mm) and the proportion of the length of the tip of the aculeus and total aculeus length (A10, 0.13–0.15 mm). The remaining populations had smaller values: A2, 0.075–0.083 mm; A3, 0.06–0.08 mm; A4, 0.09–0.12 mm; A4+A5, 0.14–0.18 mm and A10, 0.11–0.13 mm. The tip of the aculeus is one of the most important taxonomic characters for species separation within the genus Anastrepha (
The populations of the Sabana province (to the east) have no apparent morphological separation, although they form a clade with one Magdalena River population (Anolaima) that is slightly separated from the Magdalena river populations and the Magdalena (Cienaga) and Guajira (Huacachi) provinces (Euclidean distance≈ 40). These populations are also geographically isolated and should be studied more extensively.
Populations from the Cauca River Valley presented higher levels of variability. Two of them segregated into one group and La Tebaida population grouped with the other populations from the Magdalena River and the Caribbean and eastern region. This population is at the highest altitude surveyed and is isolated by the mountains from the smaller valleys that run into the Cauca River. Two of the authors (N. Canal and M.R. Castañeda) traveling along the Cauca River Valley found roadside mango markets without any type of sanitary control and whose product came from Tolima crops in the Magdalena Valley. One possible explanation for the similarity found, would be that these markets move infested fruit from the Magdalena valley to the Cauca river valley and some populations established in specific areas such as for La Tebaida population. In contrast the Zarzal and La Union populations were already collected in the Valley plains and may represent the local variability.
By including the six external populations in the discriminant analysis, the predictive model indicated that two Colombian groups remain isolated, reinforcing the result that there may be two groups in Colombia.
Genetic studies conducted by
Predictive model showed in addition that the Mex-Pacific and Peru-Pacific populations are close to the Magdalena River populations (Colombia-1), forming a relatively compact group. Also, the Gulf of Mexico population (Mex-Gulf) is grouped with the Colombian populations of the Cauca River (Colombia-2), however, there is one important divergence represented by the high Euclidean distance between them (≈80), suggesting that it may correspond to a different group in accordance with the findings of
Genetic studies conducted previously indicate the existence of those groups and established some relationship among them.
The morphometric analyses of A. obliqua females indicate that in Colombia there could be two different morphotypes and also that the external samples could be divergent and several groups may exist. Larger studies should be performed to confirm this hypothesis.
Traditionally, linear measurements have been valid tools to separate species within the existing diversity; however, the development of modern tools in morphometry, genetics, behavior and ecology has allowed the recognition of a wide variability within the existing nominal species, suggesting the existence of greater diversity in nature and hampering the definition and delimitation of the species (
Following the proposal by
The results of this work, in conjunction with previous studies, indicate that in Colombia, two groups exist that could be under a divergence process which could lead to speciation. Further, the same seems to be occurring in different Neotropical regions. Larger studies are required to define the taxonomic status of the species, which could be relevant for pest management.
For financial support to conduct this research, the authors acknowledge COLCIENCIAS (project 1105-489-25567), the International Atomic Energy Agency (project 16060/R0) and the Research Fund of the University of Tolima to NAC and the International Atomic Energy Agency (project 16080/R0) to VHO.