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107 results for “Bactrocera dorsalis”
Supplementary material 2 from: Hong SC, Magarey RD, Borchert DM, Vargas RI, Souder SK (2015) Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly). NeoBiota 27: 37-67. https://doi.org/10.3897/neobiota.27.5177
Table S2: Explanation note: List of references for Bactrocera invadens distribution (Courtesy to Marc De Meyer, Royal Museum for Central Africa, Tervuren, Belgium).
Fig. 2 in Early infestation volatile biomarkers of fruit fly Bactrocera dorsalis (Hendel) ovipositional activity in mango (Mangifera indica L.)
Fig. 2. Principal coordinate analysis (PcoA) of control, mechanically damaged, and B. dorsalis infested mango treatments (yellow squares, gray triangles, red circles, respectively). Treatment is significant in PERMANOVA (F2,14 = 6.20, p <0.001). Blue boxes with an X denote overlay of individual compounds 1–11 (Table 1) which are unique to the infestation treatment and drive the difference among treatments. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Data from: Genetic structure and inferences on potential source areas for the invasive oriental fruit fly Bactrocera dorsalis (Hendel) based on mitochondrial and microsatellite markers
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Taxonomic abundance of bacterial community of Bactrocera dorsalis as affected by antibiotics treatments and eggs disinfection
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Data from: Tracking the origins of fly invasions; using mitochondrial haplotype diversity to identify potential source populations in two genetically intertwined fruit fly species (Bactrocera carambolae and Bactrocera dorsalis [Diptera: Tephritidae])
Bactrocera carambolae Drew and Hancock and B. dorsalis (Hendel) (Diptera: Tephritidae) are important pests of many fruits. These flies have been spread across the world through global travel and trade, and new areas are are at risk of invasion. Whenever new invasive populations are discovered, quick and accurate identification is needed to mitigate the damage they can cause. Determining invasive pathways can prevent further spread of pests as well as subsequent reinvasions through the same pathway. Molecular markers can be used for both species identification and pathway analysis. We analyzed 1601 individuals from 18 populations using 765 base pairs of the mitochondrial cytochrome oxidase I (COI) gene to infer the haplotype diversity and population structure within these flies from across their native and invasive ranges. We analyzed these samples by either grouping by species or geographic populations due to the genetic similarity in the mitochondrial genome. We found no genetic structure between B. dorsalis and B. carambolae and our findings suggest recent and most likely ongoing, genetic exchange between these two species in the wild. Hyper-diverse mitochondrial genetic diversity in the native range suggests large population sizes and relatively high mutation rates. Only 52% of the haplotypes found in the trap captures from California are shared with haplotypes from flies found in our global survey, indicating significant genetic diversity in the native range that is missing from our samples. However, these results provide a foundation for the accurate determination of the provenance of invasive populations around the world.
Data from: High genetic diversity in the offshore island populations of the tephritid fruit fly Bactrocera dorsalis
Background: Geographic isolation is an important factor that limit species dispersal and thereby affects genetic diversity. Because islands are often small and surrounded by a natural water barrier to dispersal, they generally form discrete isolated habitats. Therefore, islands may play a key role in the distribution of the genetic diversity of insects, including flies. Results: To characterize the genetic structure of island populations of Bactrocera dorsalis, we analyzed a dataset containing both microsatellite and mtDNA loci of B. dorsalis samples collected from six offshore islands in Southern China. The microsatellite data revealed a high level of genetic diversity among these six island populations based on observed heterozygosity (Ho), expected heterozygosity (HE), Nei's standard genetic distance (D), genetic identity (I) and the percentage of polymorphic loci (PIC). These island populations had low F ST values (F ST = 0.04161), and only 4.16 % of the total genetic variation in the species was found on these islands, as determined by an analysis of molecular variance. Based on the mtDNA COI data, high nucleotide diversity (0.9655) and haplotype diversity (0.00680) were observed in all six island populations. F-statistics showed that the six island populations exhibited low or medium levels of genetic differentiation among some island populations. To investigate the population differentiation between the sampled locations, a factorial correspondence analysis and both the unweighted pair-group method with arithmetic mean and Bayesian clustering methods were used to analyze the microsatellite data. The results showed that Hebao Island, Weizhou Island and Dong'ao Island were grouped together in one clade. Another clade consisted of Shangchuan Island and Naozhou Island, and a final, separate clade contained only the Wailingding Island population. Phylogenetic analysis of the mtDNA COI sequences revealed that the populations on each of these six islands were closely related to different populations on mainland China. Conclusions: Our study suggests that these island populations have high genetic diversity, experience frequent gene flow and exhibit low or medium levels of genetic differentiation among some island populations. Therefore, the geographic isolation of the six islands does not appear to be a major dispersal barrier to B. dorsalis. Such knowledge is helpful for a better understanding of evolutionary processes of the species of island populations.
Fig. 7 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands
Fig. 7. Lifetime mean numbers (± S.E.) of offspring produced by Bactrocera dorsalis females of various mating statuses. G2, females mated once (n = 18); G3, females mated twice with different virgin males (n = 20); G4, females mated with non-virgin males (n = 18); G5, females housed with males with a sex ratio of 1: 1 (n = 18); G6, females housed with males with a sex ratio of 1♀: 23 (n = 19). Data for the unfertilized eggs laid by virgin females in group G1 and for females that produced fewer than 30 eggs and/or five offspring in total were not analyzed. Different letters indicate significant differences.
Fig. 2 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands
Fig. 2. Size of male mesodermal accessory gland (MAG) of Bactrocera dorsalis. A, mean length (± S.E.), and B, mean area (± S.E.) of glands. UP means unmated males that were paired with virgin females before the onset of the simulated dusk (when mating occurs), and UU means unmated males and that were not paired with females. 0 h is the size of the MAG just afer mating; 16 h is the size of the MAG at 16 h. Different letters above error bars indicate significantly different means.
Figure 2 from: Hee AKW, Ooi YS, Wee SL, Tan KH (2015) Comparative sensitivity to methyl eugenol of four putative Bactrocera dorsalis complex sibling species – further evidence that they belong to one and the same species B. dorsalis. 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: 313-321. https://doi.org/10.3897/zookeys.540.6099
Figure 2 - Probit lines of Bactrocera dorsalis and the former taxa Bactrocera papayae, Bactrocera philippinensis and Bactrocera invadens attraction to methyl eugenol.
Figure 1 from: Hee AKW, Ooi YS, Wee SL, Tan KH (2015) Comparative sensitivity to methyl eugenol of four putative Bactrocera dorsalis complex sibling species – further evidence that they belong to one and the same species B. dorsalis. 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: 313-321. https://doi.org/10.3897/zookeys.540.6099
Figure 1 - Dose-sensitivity response curves of Bactrocera dorsalis and the former taxa Bactrocera papayae, Bactrocera invadens and Bactrocera philippinensis to methyl eugenol at different doses.
Figure 5 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 5 - Simplified network of Bactrocera carambolae and Bactrocera dorsalis groups, and the sequential disconnection of the network. The network was constructed using eight SSRs. Scanning was done for decreasing thresholds A is the fully connected network B is the percolation threshold (Dp = 0.20, with all links corresponding to distances superior to Dp excluded). DP, JK, and NT are connecting between Bactrocera carambolae and Bactrocera dorsalis groups. Red dashed lines with number are corresponded to the threshold values, revealing serial disconnection of the network C is the lowest threshold (thr = 0.15).
Figure 4 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 4 - Simplified network of seven Bactrocera carambolae populations, and the sequential forms of cluster. The network was constructed using eight SSRs. Scanning was done for decreasing thresholds A is the fully connected network B is the percolation threshold (Dp = 0.52, with all links corresponding to distances superior to Dp excluded). JK plays an important role connecting between native and introduced populations C–D are the lower thresholds chosen (thr = 0.40 and 0.15, respectively) to reveal sub-structured network.
Figure 3 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 3 - The individual admixture plot for K = 3. Each bar reveals a single individual. Each color of bars represents each genetic cluster. Samples of Bactrocera carambolae belong to clusters 2 and 3 (green and blue, respectively) while samples of Bactrocera dorsalis belong to cluster 1 (red). Potential hybrids have a proportion of genetic cluster (Q) between 0.100 to 0.900 (0.100 ≤ Q ≤ 0.900) as identified with asterisk (*).
Figure 1 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 1 - Sampling collections of Bactrocera carambolae and Bactrocera dorsalis in this study. Seven populations of Bactrocera carambolae (blue dots) were collected from Southeast Asia and Suriname. Three populations of Bactrocera dorsalis (red dots) were sampled from East and Southeast Asia. Two other unidentified populations (purple dots) were included. Information for each population is described in Table 1.
Figure 6 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 6 - Simplified network of the SY5 strain and wild populations, and the sequential disconnection of the network. The network was constructed using seven SSRs. Scanning was done for decreasing thresholds A is the fully connected network B is the percolation threshold (Dp = 0.23, with all links corresponding to distances superior to Dp excluded). DP, JK, and NT are connecting between Bactrocera carambolae and Bactrocera dorsalis groups C is the lowest threshold (thr = 0.15). Red dashed lines with number are corresponded to the threshold values, revealing serial disconnection of the network.
Figure 2 from: Aketarawong N, Isasawin S, Sojikul P, Thanaphum S (2015) Gene flow and genetic structure of Bactrocera carambolae (Diptera, Tephritidae) among geographical differences and sister species, B. dorsalis, inferred from microsatellite DNA data. 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: 239-272. https://doi.org/10.3897/zookeys.540.10058
Figure 2 - Three-dimensional plot of Principal Coordinate Analysis (PCoA) and STRUCTURE analysis. A the planes of the first three principal coordinates explain 43.65%, 20.13%, and 16.91% of total genetic variation, respectively, for seven Bactrocera carambolae populations using eight SSRs B the planes of the first three principal coordinates explain 33.05%, 23.17%, and 15.87%, respectively, for Bactrocera carambolae and Bactrocera dorsalis groups using eight SSRs C the planes of the first three principal coordinates explain 30.50%, 22.14%, and 18.53%, respectively, for the SY5 strain and wild populations using seven SSRs. Pie graphs, consisting of different colored sections, represent co-ancestor distribution of 185, 289, and 321 individuals in A two, B three, and C two hypothetical clusters, respectively.
Figure 9 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis 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: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure 9 - Variation in color pattern of scutum and abdomen in Bactrocera latilineola Drew and Hancock (A–E) (11 specimens examined and 4 sequenced) and Bactrocera melastomatos Drew and Hancock (F–O) (46 specimens examined and 8 sequenced). Voucher codes are: A ms1114 B ms2025 C ms2025 D ms2024 E ms1299 F ms1415 G ms1416 H ms1410 I ms1412 J ms1411 K ms1416 L ms1417 M ms1413 N ms1410 O ms1411.
Figure 6 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis 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: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure 6 - Variation in color pattern of scutum and abdomen in Bactrocera kanchanaburi Drew and Hancock (47 specimens examined and 16 sequenced). Voucher codes are: A ms3599 B ms1300 C ms3598 D ms1303 E ms3725 F ms1302 G ms3597 H ms3596 I ms3728 J ms3603 K ms3599 L ms3728 M ms1300 N ms1301 O ms3729.
Figure 7 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis 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: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure 7 - Variation in color pattern of scutum in Bactrocera kohkongiae Leblanc (210 specimens examined and 22 sequenced). Voucher codes are: A ms1149 B ms1144 C ms1142 D ms1780 E ms1148 F ms1145 G ms1307 H ms1143 I ms1141 J ms1146 K ms1151 L ms1785 M ms1140 N ms1781 O ms1150.
Figure 8 from: Leblanc L, San Jose M, Barr N, Rubinoff D (2015) A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis 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: 339-367. https://doi.org/10.3897/zookeys.540.9786
Figure 8 - Variation in color pattern of abdomen in Bactrocera kohkongiae Leblanc. Voucher codes are: A ms1149 B ms1147 C ms1145 D ms1785 E ms1146 F ms1139 G ms1137.
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