Literature DB >> 26798267

A phylogenetic assessment of the polyphyletic nature and intraspecific color polymorphism in the Bactrocera dorsalis complex (Diptera, Tephritidae).

Luc Leblanc1, Michael San Jose2, Norman Barr3, Daniel Rubinoff2.   

Abstract

The Bactrocera dorsalis complex (Tephritidae) comprises 85 species of fruit flies, including five highly destructive polyphagous fruit pests. Despite significant work on a few key pest species within the complex, little has been published on the majority of non-economic species in the complex, other than basic descriptions and illustrations of single specimens regarded as typical representatives. To elucidate the species relationships within the Bactrocera dorsalis complex, we used 159 sequences from one mitochondrial (COI) and two nuclear (elongation factor-1α and period) genes to construct a phylogeny containing 20 described species from within the complex, four additional species that may be new to science, and 26 other species from Bactrocera and its sister genus Dacus. The resulting concatenated phylogeny revealed that most of the species placed in the complex appear to be unrelated, emerging across numerous clades. This suggests that they were placed in the Bactrocera dorsalis complex based on the similarity of convergent characters, which does not appear to be diagnostic. Variations in scutum and abdomen color patterns within each of the non-economic species are presented and demonstrate that distantly-related, cryptic species overlap greatly in traditional morphological color patterns used to separate them in keys. Some of these species may not be distinguishable with confidence by means other than DNA data.

Entities:  

Keywords:  Bactrocera; dorsalis; intraspecific variation; phylogenetics

Year:  2015        PMID: 26798267      PMCID: PMC4714077          DOI: 10.3897/zookeys.540.9786

Source DB:  PubMed          Journal:  Zookeys        ISSN: 1313-2970            Impact factor:   1.546


Introduction

Most of the Dacine fruit flies (: ) are in the genera (651 described species) and (270 species), with many species (73 and 11 ) bred from commercial/edible fruit and fleshy vegetables (Vargas et al. 2015). Species of thrive in the endemic rainforest habitats of South-East Asia and Australasia, with a high degree of host specialization and a large number of cryptic species (Drew and Hancock 2000, Drew 2004). Among the pest species, (Hendel) (= the Oriental fruit fly) is the most destructive and polyphagous species (Vargas et al. 2015), belonging to a large complex of similar-looking species: the complex (hereafter referred to as the OFF complex). The first reference to the OFF complex was by Hardy (1969), who recognized and provided a key to and 15 other non-economic species. Subsequently, Drew and Hancock (1994) revised the group from South-East Asia, describing 40 new species and splitting into four distinct species, resulting in a total of 52 species, plus 16 species in Australasia (Drew 1989). Among the combination of character states defining the complex, they included a mostly black scutum and abdomen terga III–V with a medial longitudinal band forming a “T-shaped” pattern with the transverse band at base of tergum III, and with variable dark patterns on lateral margins of terga III–V. Currently, 85 species are recognized, taking into account the recent revision (Drew and Romig 2013) and synonymization (Schutze et al. 2014). Six of the species ( Drew & Hancock, (Kapoor), , Drew & Hancock, (Bezzi), and (Drew)) in the complex are significant pests of cultivated fruit (Vargas et al. 2015). While literature abounds on the taxonomy, genetic diversity, biology and management of the economic species (Clarke et al. 2005, Schutze et al. 2014a), very little is known about most of the other species in the OFF complex, other than basic taxonomic descriptions. Identification to species level is challenging for many species, due to uniform appearance and extensive intraspecific morphological variation. Morphological diagnostic tools were developed for the economic species, based of wing morphometrics (Schutze et al. 2012) and ovipositor and aedeagus lengths (Iwaizumi et al. 1997, Drew et al. 2008, Krosch et al. 2013, White 2000). Some of the species, especially , display a broad range of color patterns and length of aedeagus and ovipositor, that have resulted in the description of geographic variants as new species, which were subsequently argued to be conspecific (Schutze et al. 2012, 2014b), and synonymized (Schutze et al. 2014a). The range of color variation in the scutum and abdomen was characterized to some extent for and (e.g. Nishida and Vargas 1992, Iwahashi 1999, Drew et al. 2005, Leblanc et al. 2013), but no information has been published for the other 83 species. Species descriptions and illustrations in published monographs (Drew 1989, Drew and Hancock 1994, Drew and Romig 2013) are based on the most commonly encountered morphological variants, and little information is presented on intraspecific variation. The dichotomous key in Drew and Hancock (1994) is based on these most PageBreakcommon variants, hence difficult to use to identify more atypical specimens. An attempt to account for variation in an interactive CD-ROM key (Lawson et al. 2003) yielded limited success (Clarke et al. 2005). In addition to the described species, there may likely exist cryptic species, hard to distinguish by morphological means, which can be separated with the help of genetic sequencing (e.g. Carew et al. 2011, Dujardin and Kitthawee 2013). Clarke et al. (2005), when reviewing the data available at the time, stated that phylogenetic studies using limited taxa and genes may not demonstrate the monophyly of the complex. However, recent molecular phylogenies which include the OFF complex have found that most species form a well-defined monophyletic clade (Krosch et al. 2012, Virgilio et al. 2015). However, these studies only included methyl eugenol-attracted species and were limited to six economic species and six, mainly Australian, non-pest species such as (Hering) and (Drew and Hardy). An alternate, polyphyletic complex was indicated by a phylogeny based on one mitochondrial and two nuclear genes by San Jose et al. (2013), but sampling was limited. Our goal was to examine the species complex more broadly than the few frequently targeted pest species. This is accomplished by reporting and analyzing novel molecular and morphological data on 22 non‐pest species in the complex, in the context of the main pest species and selected outgroups. These data are used to: (i) determine through phylogenetic analysis if the complex is monophyletic or polyphyletic; (ii) provide diagnostic molecular data for over 25 species for which such data is currently lacking; and (iii) determine the utility of thoracic and abdominal color/pattern variation as species level diagnostic characters.

Materials and methods

Taxa sampling

The molecular phylogenies presented here are based on DNA sequences of 53 specimens collected in Asia, Australia, Oceania, the United States and Africa. These specimens include 47 species of belonging to five subgenera (including 24 species from the OFF complex), three species of , and (Wiedemann) as the outgroup, (Table 1). In addition, we examined the morphology of thousands of specimens of the economic species and over 1,600 specimens of 22 non-economic species in the OFF complex. Two hundred and thirty seven representatives of these, selected to cover a broad range of color variants, were sequenced for the COI gene, as detailed below, to confirm morphological identifications and document intraspecific variation in morphological characters. In addition to examining the color pattern of individual specimens, photographs of the scutum and abdomen were taken, for all the sequenced specimens, and used to compile the variation plates (Figures 2–15). The number of specimens examined and sequenced for individual species are included in the figure captions.
Table 1.

Species, lure response, collecting locality and voucher code and GenBank accession number for sequences for the species used in this study.

SpeciesLureLocalityVoucherGenBank Accessions
Bactrocera (Bactrocera)COIEF-1αPeriod
Species in Bactrocera dorsalis complex
Bactrocera bivittata Li & WangMethyl eugenolLaos: Luang Namthams1305KT594878KT594827KT594785
Bactrocera cacuminata (Hering)Methyl eugenolAustralia: NSW, Valeryms1997KT594887KT594822KT594787
Bactrocera carambolae Drew & HancockMethyl eugenolMalaysia: Penang, Teluk Bahangms1439KF184076KF184222KF184149
Bactrocera dongnaiae Drew & RomigCue-lureCambodia: Koh Kongms1109KT594897KT594830KT594789
Bactrocera dorsalis (Hendel) (sensu stricto)Methyl eugenolHawaii: Oahu, Makikims0853KF184084KF184230KF184157
Bactrocera dorsalis (Hendel) (Bactrocera invadens)Methyl eugenolSénégal: Ziguinchorms0898KF184092KF184238KF184165
Bactrocera dorsalis (Hendel) (Bactrocera papayae)Methyl eugenolMalaysia: Penang, Teluk Bahangms1428KF184067KF184213KF184140
Bactrocera fuscitibia Drew & HancockCue-lureCambodia: Koh Kongms1175KT594899KT594831KT594790
Bactrocera kanchanaburi Drew & HancockMethyl eugenolCambodia: Koh Kongms1300KT594905KT594833KT594792
Bactrocera kohkongiae LeblancCue-lureCambodia: Koh Kongms1139KT591145KT591136KT591129
Bactrocera laithieuiae Drew & RomigCue-lureCambodia: Koh Kongms3762KT594916KT594823KT594793
Bactrocera latilineola Drew & HancockMethyl eugenolCambodia: Koh Kongms1114KT594917KT594834KT594794
Bactrocera lombokensis Drew & HancockCue-lureLaos: Luang Namthams1548KT594922KT594836
Bactrocera melastomatos Drew & HancockCue-lureMalaysia: Kedah, Mount Jeraims1411KT594924KT594837KT594796
Bactrocera occipitalis (Bezzi)Methyl eugenolPhilippines: Los Bañosms1985KT594931KT594824KT594798
Bactrocera osbeckiae Drew & HancockCue-lureCambodia: Koh Kongms1163KT594938KT594841KT594801
Bactrocera paraarecae Drew & RomigMethyl eugenolLaos: Luang Namthams1110KF184040KF184186KF184113
Bactrocera propinqua (Hardy & Adachi)Cue-lureLaos: Luang Namthams1167KF184053KF184199KF184126
Bactrocera quasiinfulata Drew & RomigCue-lureLaos: Luang Namthams1546KT594970KT594843KT594803
Bactrocera raiensis Drew & HancockMethyl eugenolLaos: Luang Namthams1331KT594972KT594844KT594804
Bactrocera thailandica Drew & HancockCue-lureThailand: Chiang Maims1047KT594985KT594852KT594812
Bactrocera usitata Drew & HancockCue-lureCambodia: Koh Kongms1173KT594999KT594854KT594814
Bactrocera species 54Cue-lureThailand: Chiang Maims1182KT594976KT594847KT594807
Bactrocera species 55Cue-lureLaos: Luang Namthams1181KT594979KT594848KT594808
Bactrocera species 59Cue-lureLaos: Luang Namthams1164KT594981KT594849KT594809
Bactrocera species 60Methyl eugenolChina: Jinghongms3633KT594982KT594850KT594810
Other species
Bactrocera aethriobasis (Hardy)Methyl eugenolCambodia: Koh Kongms1557KT594862KT594825KT594783
Bactrocera albistrigata deMeijereCue-lureMalaysia: Penang, Teluk Bahangms1395KT594863KT594826KT594784
Bactrocera bhutaniae Drew & RomigCue-lureLaos: Luang Namthams1166KF184052KF184198KF184125
Bactrocera bryoniae (Tryon)Cue-lureAustralia: Bundabergms1515KT594886KT594828KT594786
Bactrocera correcta (Bezzi)Methyl eugenolCambodia: Koh Kongms1093KT594896KT594829KT594788
Bactrocera kirki (Froggatt)Cue-lureFrench Polynesia: Tahitims0894KF184090KF184236KF184163
Bactrocera latifrons (Hendel)Latilure/cade oilHawaii: Oahums0882KF184085KF184231KF184158
Bactrocera limbifera (Bezzi)Cue-lureCambodia: Koh Kongms1108KT594921KT594835KT594795
Bactrocera nigrotibialis (Perkins)Cue-lureCambodia: Koh Kongms1033KT594930KT594838KT594797
Bactrocera ochrosiae (Malloch)Cue-lureMariana Islands: Saipanms1485KT594932KT594839KT594799
Bactrocera paradiospyri Chen, Zhou & LiMethyl eugenolThailand: Chiang Maims1470KT594956KT594842KT594802
Bactrocera rubigina (Wang & Zhao)Cue-lureChina: Jinghongms3544KT594974KT594845KT594805
Bactrocera tryoni (Froggatt)Cue-lureFrench Polynesia: Tahitims0892KF184088KF184234KF184161
Bactrocera tuberculata (Bezzi)Methyl eugenolThailand: Chiang Maims1083KT594998KT594853KT594813
Bactrocera umbrosa (Fabricius)Methyl eugenolCambodia: Koh Kongms1002KF184032KF184178KF184105
Bactrocera wuzhishana Li & WangMethyl eugenolThailand: Chiang Maims1070KT595000KT594855KT594815
Bactrocera zonata (Saunders)Methyl eugenolThailand: Chiang Maims1559KT595002KT594857KT594817
Bactrocera (Daculus)
Bactrocera oleae (Gmelin)No lureUSA: Californiams1387KT594933KT594840KT594800
Bactrocera (Notodacus)
Bactrocera xanthodes (Broun)Methyl EugenolFrench Polynesia: Rurutums0896KT595001KT594856KT594816
Bactrocera (Sinodacus)
Bactrocera hochii (Zia)Cue-lureLaos: Luang Namthams1369KT594904KT594832KT594791
Bactrocera (Zeugodacus)
Bactrocera cucurbitae (Coquillett)Cue-lureCambodia: Koh Kongms0987KF184104KF184250KF184177
Bactrocera scutellaris (Bezzi)Cue-lureThailand: Chiang Maims1030KT594975KT594846KT594806
Bactrocera tau (Walker)Cue-lureLaos: Luang Namthams1006KT594984KT594851KT594811
Genus Dacus
Dacus (Didacus) ciliatus LoewNoneSouth Africa: Stellenboschms1576KT595004KT594859KT594819
Dacus (Psilodacus) pullescens MunroNoneSouth Africa: Calitzdorpms1578KT595005KT594860KT594820
Dacus (Mellesis) sinensis WangCue-lureLaos: Luang Namthams1372KT595006KT594861KT594821
Genus Ceratitis
Ceratitis capitata (Wiedemann)TrimedlureHawaii: Oahums0865KT595003KT594858KT594818
Figure 2.

Variation in color pattern of scutum and abdomen in Drew and Romig (321 specimens examined and 36 sequenced). Voucher codes are: A ms3593 B ms3531 C ms3533 D ms4321 E ms2034 F ms1166 G ms2031 H ms3527 I ms3580 J ms1168 K ms2030 L ms3578 M ms4329 N ms3527 O ms1168.

Figure 15.

Scutum, abdomen and wing costal region of: A–C species 54 (ms1798 (wing, scutum), ms3777 (abdomen); 7 specimens examined and sequenced) D–F species 55 (ms3575; 7 specimens examined and sequenced) G–I species 59 (ms1164; 1 specimen examined and sequenced) J–L species 60 (ms3730; 3 specimens examined and sequenced).

Species, lure response, collecting locality and voucher code and GenBank accession number for sequences for the species used in this study.

Validation of identification

Our specimens in the OFF complex were initially tentatively identified to species using available resources (Drew and Hancock 1994, Lawson et al. 2003, Drew and Romig 2013). These determinations were then confirmed by comparing pinned representatives and photographic plates of color variation to the large series of specimens used to produce the above publications, deposited in the Queensland Department of Agriculture and Fisheries (QDAF) insect collection (Ecosciences Precinct, Brisbane). The identifications were also confirmed by R.A.I. Drew, an expert on morpholPageBreakogy. Species referred to by numbers in previous publications (San Jose et al. 2013, Leblanc et al. 2013, 2014) and included in this study were identified as Drew and Hancock (species 22), Drew and Romig (species 25), (species 26), and (Hardy and Adachi) (species 45).

DNA extraction, amplification, and sequencing

For each specimen, one to three legs were used for total genomic DNA extraction. The remainder of the specimen was deposited as a voucher in the University of Hawaii Insect Museum (UHIM) for preservation and morphological studies (Table 1). Genomic DNA was extracted using the DNeasy animal blood and tissue extraction kit PageBreakfollowing manufacturer’s protocol (Qiagen, Inc., Valencia, CA). Three different gene regions were amplified: the mitochondrial gene cytochrome c oxidase I (COI, 780 bp) and the nuclear genes, elongation factor-1α (EF-1α, 759 bp) and period (PER, 450 bp). These three genes were selected because each has been demonstrated to be informative in distinguishing populations, species complexes, species, or genera in (Folmer et al. 1994, Simon et al. 1994, Cho et al. 1995, Bauzer et al. 2002, Moulton and Wiegmann 2004, Barr et al. 2005, Foley et al. 2007, Virgilio et al. 2009, Gibson et al. 2011, San Jose et al. 2013). Gene amplification followed San Jose et al. (2013). All polymerase chain reaction (PCR) products were visualized on 1% agarose gel and purified using QIAquick spin columns (Qiagen, Inc.) according to the manufacturer’s protocol. Bidirectional DNA sequencing was performed at the Advanced Studies of Genomics, Proteomics and Bioinformatics (ASGPB) sequencing facility of the University of Hawaii at Manoa (http://asgpb.mhpcc.hawaii.edu/).

Sequence alignment, nucleotide composition, and phylogenetic analysis

Sequence alignments were performed with the software package Geneious 7.1.7 (Biomatters ltd.). Heterozygosity in the nuclear genes was present in most samples. Ambiguity codes (i.e., notation according to International Union of Pure and Applied Chemistry (IUPAC)) were used to denote heterozygous base pairs, and these codes were used in the subsequent analysis. Sequence alignment for each gene was conducted in Geneious using the Muscle option with default settings (Edgar 2004). We used jModeltest and the Akaike information criterion (Darriba et al. 2012) to determine the most appropriate evolutionary model for each gene in our analysis. Phylogenetic analyses were performed with both Maximum Likelihood and Bayesian Inference. MrBayes 3.2.1 (Ronquist et al. 2012) was used for Bayesian analyses and RaxML (Stamatakis et al. 2008) was used for maximum likelihood (ML). We used jModeltest (Darriba et al. 2012) to determine the most appropriate model for each partition. We concatenated our datasets by gene and used a GTR+ Γ PageBreakmodel for each gene in the Bayesian analysis general time reversible model (Tavaré 1986) with gamma distribution of rates (GTRGAMMA) for each gene in our likelihood analysis. We first analyzed each gene separately and subsequently concatenated them into a single dataset partitioned, by gene, using Maximum Likelihood and Bayesian inference. For each individual gene analysis (COI, period, and EF-1α) we ran four independent Bayesian runs in MrBayes 3.2.1 using the default settings. Each run started from a random tree using default priors sampling every one thousand generation for 10 million generations with a relative burn-in of 25%. We used the program Tracer 1.5 (Rambaut and Drummond 2009) to assess convergence of standard deviation in variance for Bayesian analyses. For RaxML analyses, each dataset included 10 ML tree searches with default settings, using a random starting tree to find the tree with the best likelihood score. One thousand Maximum Likelihood bootstrap replicates were conducted in Raxml to assess support for inferred relationships. For the concatenated dataset, we partitioned the data by gene and ran MrBayes using the same settings as the individual gene analyses except the parameters statefreq, revmat, shape, and pinvar were unlinked between partitions. For the Maximum Likelihood analysis of the partitioned concatenated dataset, we ran RaxML using the same settings and analyses for each partition as when genes were analyzed individually. Trees were visualized using FigTree v1.4.0 (Rambaut 2012) and rooted with . COI sequences for all non-economic species in the complex for which at least four sequences were available were analyzed using the program DNAsp to provide basic population genetic variability summary statistics (Hn, h π, S).

Data Resources

Sequences listed on Table 1, as well as COI sequences for all specimens included on all figure plates, were deposited into GenBank KT591129 to KT591164 and KT594783 to KT595006.

Results

Topological differences between the individual gene trees were not supported with high bootstrap values and posterior probabilities (<50% BS <0.9 PP) and overall individual gene trees were poorly resolved, with COI providing more signal for the more recent divergences (Suppl. material 1) and the nuclear genes providing signal for deepPageBreaker relationships (Suppl. material 2, 3). However the concatenated analysis produced a well-resolved tree (Figure 1) which is consistent with previous studies (Krosch et al. 2012, San Jose et al. 2013, Virgilio et al. 2015). In the concatenated phylogeny, the group of subgenera (as defined by Drew and Hancock 2000) is sister to and the ++ clades, which themselves are sister taxa. This renders paraphyletic with respect to , as suggested previously (White 2006, Krosch et al. 2012, Virgilio et al. 2015). However the relationship is not strongly supported in the tree and additional genes and taxa are necessary to fully resolve this relationship. The subgenus is monophyletic in the concatenated phylogeny (100 BS, 1.0 PP). The inclusion of many non-economic OFF complex species in our study shows with high support that despite a similar appearance, the complex is a highly polyphyletic group. Multiple, well-supported, clades (75–100% BS values) in the subgenus contain a mix of species previously thought to belong to the OFF complex and non-OFF complex species. One clear example is the inclusion of non-OFF complex , , , with PageBreak, which fits in the OFF complex (Figure 15 A–C) in a strongly supported (100%, 100% PP value) clade (Figure 1). This indicates that, despite low support for the backbone topology in the subgenus , the polyphyletic nature of the OFF complex is still well supported. The main pest species in the complex ( and , now including and , see Schutze et al. 2014a) form a monophyletic unit with very little genetic differentiation (<1.3% in COI) between them, and rest within a well defined clade that includes several other species attracted to methyl eugenol (, , ). Three species, (Figure 9F–O), (Figure 10) and (Figure 14F), were genetically indistinguishable using COI (0.1% pair-wise difference) in the phylogeny, appearing together in a single lineage, despite having very distinctive color patterns. Interestingly, they were slightly more distinct in the nuclear genes (1.1% EF-1α and 1% period pair-wise difference), which was not the case for most species. Population genetic statistics, based on COI sequences, showed high levels of haplotype diversity for most of the non-economic species in the complex (Table 2).
Figure 1.

Maximum likelihood tree, concatenated, based three gene (COI, period, EF-1α) dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red.

Figure 9.

Variation in color pattern of scutum and abdomen in Drew and Hancock (A–E) (11 specimens examined and 4 sequenced) and 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 10.

Variation in color pattern of scutum and abdomen in Drew and Romig (100 specimens examined and 39 sequenced). Voucher codes are: A ms1161 B ms3559 C ms3558 D ms3553 E ms3555 F ms3561 G ms1163 H ms3785 I ms3764 J ms3768 K ms1153 L ms3758 M ms3554 N ms1180 O ms1138 P ms3555 Q ms3784 R ms3560 S ms1154 T ms3768.

Figure 14.

Scutum and abdomen of: A Drew and Romig (ms1158; 7 specimens examined and 3 sequenced) B Drew and Romig (ms3762; 1 specimen examined and sequenced) C Drew and Hancock (ms1548; 1 specimen examined and sequenced) D Drew and Romig (ms3455; 4 specimens examined and sequenced) E Drew and Hancock (ms1331; 2 specimens examined and 1 sequenced) F (Wang and Zhao) (ms3543; 259 specimens examined and 27 sequenced) G Drew and Hancock (ms2039; 27 specimens examined and 6 sequenced).

Table 2.

Summary statistics of genetic variability, based on COI gene sequences, for non-economic species in the complex.

SpeciesSample sizeHaplotypes (Nh)Haplotype diversity (h)Nucleotide diversity (pi)Segregating sites (s)
Bactrocera bhutaniae33250.9660.0255786
Bactrocera bivittata1090.9780.0032010
Bactrocera cacuminata1140.4910.001615
Bactrocera fuscitibia650.9330.0067614
Bactrocera kanchanaburi15130.9810.0076831
Bactrocera kohkongiae22170.9520.0047223
Bactrocera latilineola430.8330.003205
Bactrocera melastomatos840.6430.001274
Bactrocera osbeckiae35130.7040.0071718
Bactrocera paraarecae551.0000.0153629
Bactrocera propinqua24230.9960.0104740
Bactrocera thailandica56130.3860.0014524
Bactrocera usitata551.0000.0107617
Maximum likelihood tree, concatenated, based three gene (COI, period, EF-1α) dataset. Support values above branches are Maximum Likelihood Bootstrap values / Bayesian Posterior Probabilities. Scale bar indicates the number of substitutions per site. Species in the Oriental fruit fly complex are outlined in red. Summary statistics of genetic variability, based on COI gene sequences, for non-economic species in the complex. Color patterns of scutum and/or abdomen (Figures 2–15) varied extensively within some of the species (Figures 2A–J, 3A–I, 4A–J, 5D–H, 6K–O, 7, 8, 9F–O, 10, 11B–E, 12A–J, 13F–O), and were relatively uniform in others (Figures 2K–O, 3J–M, 4K–M, 5A–C, 6A–J, 9A–E, 11A, 12K–O, 13A–E). Scutum color pattern was highly PageBreakpolymorphic in (Figure 2), (Figure 3), (Figure 7), (Figure 9F–O), (Figure 10), and (Figure 12). Abdomen pattern was confusingly polymorphic, yet scutum remained uniform in (Figure 13).
Figure 3.

Variation in color pattern of scutum and abdomen in Li and Wang (47 specimens examined and 10 sequenced). Voucher codes are: A ms3606 B ms1305 C ms1304 D ms3607 E ms3605 F ms3604 G ms3609 H ms3608 I ms1790 J ms3605 K ms3606 L ms3609 M ms3604.

Figure 4.

Variation in color pattern of scutum and abdomen in (Hering) (> 300 specimens examined and 12 sequenced). Voucher codes are: A ms2003 B ms2005 C ms1998 D ms2008 E ms1999 F ms1997 G ms2010 H ms2004 I ms2009 J ms2002 K ms2005 L ms2008 M ms2009.

Figure 5.

Variation in color pattern of scutum and abdomen in (Drew and Hancock) (33 specimens examined and 6 sequenced). Voucher codes are: A ms1178 B ms1177 C ms1297 D ms1175 E ms1176 F ms1177 G ms1178 H ms1297.

Figure 6.

Variation in color pattern of scutum and abdomen in 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.

Variation in color pattern of scutum in 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.

Variation in color pattern of abdomen in Leblanc. Voucher codes are: A ms1149 B ms1147 C ms1145 D ms1785 E ms1146 F ms1139 G ms1137.

Figure 11.

Variation in color pattern of scutum and abdomen in Drew and Romig (10 specimens examined and 5 sequenced). Voucher codes are: A ms1295 B ms1296 C ms2040 D ms1294 E ms1110.

Figure 12.

Variation in color pattern of scutum and abdomen in (Hardy and Adachi) (49 specimens examined and 24 sequenced). Voucher codes are: A ms4324 B ms4331 C ms4322 D ms3568 E ms3571 F ms3833 G ms3572 H ms3567 I ms2041 J ms1170 K ms4331 L ms3765 M ms3757 N ms3572 O ms3566.

Figure 13.

Variation in color pattern of scutum in Drew and Romig (712 specimens and 56 sequenced). Voucher codes are: A ms3587 B ms3588 C ms3586 D ms3525 E ms1952 F ms3576 G ms3586 H ms3736 I ms3585 J ms3539 K ms3581 L ms3538 M ms3695 N ms3582 O ms1949.

Variation in color pattern of scutum and abdomen in Drew and Romig (321 specimens examined and 36 sequenced). Voucher codes are: A ms3593 B ms3531 C ms3533 D ms4321 E ms2034 F ms1166 G ms2031 H ms3527 I ms3580 J ms1168 K ms2030 L ms3578 M ms4329 N ms3527 O ms1168. Variation in color pattern of scutum and abdomen in Li and Wang (47 specimens examined and 10 sequenced). Voucher codes are: A ms3606 B ms1305 C ms1304 D ms3607 E ms3605 F ms3604 G ms3609 H ms3608 I ms1790 J ms3605 K ms3606 L ms3609 M ms3604. Variation in color pattern of scutum and abdomen in (Hering) (> 300 specimens examined and 12 sequenced). Voucher codes are: A ms2003 B ms2005 C ms1998 D ms2008 E ms1999 F ms1997 G ms2010 H ms2004 I ms2009 J ms2002 K ms2005 L ms2008 M ms2009. Variation in color pattern of scutum and abdomen in (Drew and Hancock) (33 specimens examined and 6 sequenced). Voucher codes are: A ms1178 B ms1177 C ms1297 D ms1175 E ms1176 F ms1177 G ms1178 H ms1297. Variation in color pattern of scutum and abdomen in 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. Variation in color pattern of scutum in 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. Variation in color pattern of abdomen in Leblanc. Voucher codes are: A ms1149 B ms1147 C ms1145 D ms1785 E ms1146 F ms1139 G ms1137. Variation in color pattern of scutum and abdomen in Drew and Hancock (A–E) (11 specimens examined and 4 sequenced) and 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. Variation in color pattern of scutum and abdomen in Drew and Romig (100 specimens examined and 39 sequenced). Voucher codes are: A ms1161 B ms3559 C ms3558 D ms3553 E ms3555 F ms3561 G ms1163 H ms3785 I ms3764 J ms3768 K ms1153 L ms3758 M ms3554 N ms1180 O ms1138 P ms3555 Q ms3784 R ms3560 S ms1154 T ms3768. Variation in color pattern of scutum and abdomen in Drew and Romig (10 specimens examined and 5 sequenced). Voucher codes are: A ms1295 B ms1296 C ms2040 D ms1294 E ms1110. Variation in color pattern of scutum and abdomen in (Hardy and Adachi) (49 specimens examined and 24 sequenced). Voucher codes are: A ms4324 B ms4331 C ms4322 D ms3568 E ms3571 F ms3833 G ms3572 H ms3567 I ms2041 J ms1170 K ms4331 L ms3765 M ms3757 N ms3572 O ms3566. Variation in color pattern of scutum in Drew and Romig (712 specimens and 56 sequenced). Voucher codes are: A ms3587 B ms3588 C ms3586 D ms3525 E ms1952 F ms3576 G ms3586 H ms3736 I ms3585 J ms3539 K ms3581 L ms3538 M ms3695 N ms3582 O ms1949. Scutum and abdomen of: A Drew and Romig (ms1158; 7 specimens examined and 3 sequenced) B Drew and Romig (ms3762; 1 specimen examined and sequenced) C Drew and Hancock (ms1548; 1 specimen examined and sequenced) D Drew and Romig (ms3455; 4 specimens examined and sequenced) E Drew and Hancock (ms1331; 2 specimens examined and 1 sequenced) F (Wang and Zhao) (ms3543; 259 specimens examined and 27 sequenced) G Drew and Hancock (ms2039; 27 specimens examined and 6 sequenced). Scutum, abdomen and wing costal region of: A–C species 54 (ms1798 (wing, scutum), ms3777 (abdomen); 7 specimens examined and sequenced) D–F species 55 (ms3575; 7 specimens examined and sequenced) G–I species 59 (ms1164; 1 specimen examined and sequenced) J–L species 60 (ms3730; 3 specimens examined and sequenced). Scutum color and variation followed three basic patterns among species for which series of specimens were examined. In (Figure 2), (Figure 3), (Figure 7), and (Figure 10), scutum was predominantly red–brown with a highly variable dark lanceolate pattern. The pattern was composed of a medial and two lateral bands, generally interrupted at the level of the transverse suture, PageBreakin and (medial band usually narrower and lateral bands very broad). The lanceolate pattern was highly variable in , from extensively pale with a narrow medial band to almost entirely dark with light markings restricted PageBreakto the transverse suture, and , from mostly dark fuscous, with red-brown markings at level of postpronotal lobes and along transverse suture, to extensive lanceolate red–brown pattern with a broad medial longitudinal band, which can be faint or absent. In (Figure 4), scutum was red–brown with a single medial dark band widened at apex of scutum and anteriorly narrowed to a point, and with two short lateral bands pointed anteriorly. A similar pattern was frequently observed in (Figure 12), in which the scutum varied from -like to uniformly dark with light markings at level of transverse suture and inside postpronotal lobes. Scutum was generally uniformly black, with at most small red–brown markings anterior to lateral postsutural vittae, inside postpronotal lobes and sometimes at the level of prescutellar setae, in (Figure 5), (Figure 9), PageBreak (Figure 11), (Figure 13), and (Figure 14H), and frequently with more extensive red–brown markings along transverse suture in (Figure 6) and (Figure 9 F–J). The shape and width of lateral postsutural vittae was relatively constant for all species except (Figure 13). Abdomen color for almost all species and variants followed the basic “T-shaped” pattern typical of the complex, i.e. a black band across the base of tergum III, a narrow to broad medial longitudinal black band covering the entire length of terga III to V, and narrow to broadly expanded lateral black markings on terga III to V. Medial band was broad and lateral markings generally broad along margins of tergum III and narrower on terga IV and V in (Figure 2) and (Figure 12), or the markings on terga III and IV expanded and pointed at apex in (Figure 3). Medial band was broad and extended to the base of tergum II and lateral markings broad on terga III, IV, and base of tergum V in (Figure 9C–E). Medial band was PageBreaknarrow (broad in ) and lateral markings usually broad along terga III–IV and basal half of tergum V in (Figure 4), (Figure 6), and (Figure 14 G). Medial band was broad and lateral markings moderately to very broad on tergum III and IV, and shining spots on tergum V usually black (fuscous to dark fuscous in most other species) and continuous with lateral black markings in (Figure 5). Medial band was narrow (broad in ) and lateral markings moderately to very broad but diffuse, rather than well defined (as in previous species), in (Figure 8), (Figure 9 K–O), (Figure 10), and (Figure 11). In , medial band was narrow and the extent of lateral markings varied considerably, from very limited to almost entirely covering the terga except traces of red–brown on tergum V, on either side of medial band (Figure 13).

Discussion

The concatenated tree demonstrates that the OFF complex is a highly polyphyletic assemblage of unrelated species. Consistent with other published studies, the methyl eugenol responsive , , , , and , form a well-defined monophyletic unit (Krosch et al. 2012, San Jose et al. 2013, Boykin et al. 2013, Virgilio et al. 2015). Because the phylogeny is based on a relatively limited (24%) proportion of all the species included in the OFF complex, adding more species and using multiple genes may reveal scattered clusters of related species, but the proportion of unrelated clades including OFF complex species is likely to remain high. The widespread conformity of unrelated species to the -like appearance is unclear. Color patterns in Dacine fruit flies are assumed to mimic wasps (White 2000), though few actual wasp mimic examples exist in Dacine fruit flies, and the OFF complex appearance is not a particularly convincing wasp imitation when compared to other groups of mimics (sesiid moths, syrphid flies, etc.). Whether the similarity represents convergent evolution or a retained ancestral state requires further investigation. Except for a handful of well-studied species (e.g. , , ), the definitions and concepts for the majority of the OFF complex species were based on morphology (mainly color patterns), lure response, and generally limited host fruit records. Only now are we starting to better characterize these species with molecular tools. Most of the non-economic species described by Drew and Hancock (1994) included in our study appear to be valid, confirmed by molecular data and comparison of morphological intraspecific variation with large series of specimens in QDAF (L.L., unpublished observations). Attraction of to cue-lure is a new lure record. Morphological variation in our cue-lure trapped specimens (Figure 10) closely matched that observed in the QDAF and Bishop Museum (Honolulu, Hawaii, USA) series, which consist of host-reared specimens without male lure records. Four species, consistent in appearance with the definition of the OFF complex, could not clearly be identified and are referred to here as numbered species. Species 54 (from Chiang Mai, Thailand) and 55 (Luang Nam Tha, Laos and Jinghong, China) look very similar (Figure 15A–F), yet are genetically distinct (8.85% COI pair-wise difference). They both key to in Drew and Hancock (1994), but neither can be confidently matched to that species, even after comparison with series of pinned specimens of and other OFF complex species in the QDAF collection. Also, was collected further south in Thailand (Khao Yai) than the samples we have. Until fresh host-reared specimens of can be obtained from the type locality and sequenced, we will defer from describing new species that may in the future turn out to be synonyms. Species 59 (Luang Nam Tha, Laos) and 60 (Jinghong, China) (Figure 15G–L) could not be definitely determined to species using available resources (Drew and Hancock 1994, Drew and Romig 2013), and did not match any of the OFF complex species examined in QDAF. They are likely new species, but not PageBreakdescribed here, due to the lack of distinctive characters and the very small number of specimens available (1 of species 59 and 3 of species 60). With additional survey work and genetic sequencing, a number of additional cryptic species likely will appear. , and were recently declared conspecific, and are genetically indistinguishable (Schutze et al. 2014a), despite what some consider PageBreakdiagnosable differences (Drew and Romig 2013). We have found a similar genetically indistinguishable situation for , and (Wang and Zhao) in our phylogeny, despite them being very distinct from each other in color pattern (Figures 9F–O, 10, 14F). This suggests that these species, if distinct, may or may not differ at gene loci other than those sequenced in our study. and are sympatric in Thailand and Southern China (Leblanc, unpublished) and differ in color patterns and wing costal band expansion (Drew and Romig 2013), while is confined to Peninsular Malaysia, Borneo, Java and Sumatra. and are biologically close and peculiar, both breeding on flowers rather than fruits of (Drew and Hancock 1994, Allwood et al. 1999), while the host range of is not well documented. Similarly, sympatric and in Australia are currently genetically inseparable, yet are likely valid biological species, isolated by time of mating (Clarke et al. 2011). The high degree of intraspecific variation in color pattern severely limits the reliability of dichotomous and interactive keys. The range of variation differs considerably among species, with extreme cases like the scutum of (Leblanc et al. 2013), and the abdomen of (Figure 13). Also, variants of unrelated species, such as (Figure 2) and (Figure 3), can overlap and make them hard to distinguish. The full extent of observed variation is easier to demonstrate in plates rather than words when describing a species. We suggest that descriptions of new species in the future should be accompanied by extensive plates showing variation, included in publications or posted as supplementary online material.

Conclusion

The OFF complex was defined by Hardy (1969) and the definition refined by Drew and Hancock (1994). The species and specimens examined in this study fit their definition in all respects, except for scutum color, said to be mostly black (Drew and Hancock 1994) or black (Drew and Romig 2013). Several species included in the complex consistently have extensive pale markings on the scutum (e.g. (Hardy and Adachi), , , ). has a broad range of variation, from entirely black to extensively or almost entirely pale (Schutze et al. 2014b, Leblanc et al. 2013), a form that was described as the now-synonymized, (Drew et al. 2005), which was not included in the OFF complex by Drew and Romig (2013). It is likely that at least some of the 21 other species complexes (Drew 1989, Drew and Romig 2013) are also polyphyletic and their morphological diagnostic characters not robust. Nonetheless, the complex is likely to remain entrenched for some time in future literature, as an informal group referred to as a “collective group” in the International Code of Zoological Nomenclature (http://iczn.org/iczn/index.jsp). Caution must be exercised in literature to not refer to the group as a biological or evolutionary unit.
  16 in total

1.  Molecular divergence in the period gene between two putative sympatric species of the Lutzomyia longipalpis complex.

Authors:  L G S R Bauzer; J S M Gesto; N A Souza; R D Ward; J G C Hamilton; C P Kyriacou; Alexandre A Peixoto
Journal:  Mol Biol Evol       Date:  2002-09       Impact factor: 16.240

2.  Evolution and phylogenetic utility of CAD (rudimentary) among Mesozoic-aged Eremoneuran Diptera (Insecta).

Authors:  John K Moulton; Brian M Wiegmann
Journal:  Mol Phylogenet Evol       Date:  2004-04       Impact factor: 4.286

3.  African Dacus (Diptera: Tephritidae: molecular data and host plant associations do not corroborate morphology based classifications.

Authors:  M Virgilio; M De Meyer; I M White; T Backeljau
Journal:  Mol Phylogenet Evol       Date:  2009-06       Impact factor: 4.286

4.  A combination of molecular and morphological approaches resolves species in the taxonomically difficult genus Procladius Skuse (Diptera: Chironomidae) despite high intra-specific morphological variation.

Authors:  M E Carew; S E Marshall; A A Hoffmann
Journal:  Bull Entomol Res       Date:  2011-03-10       Impact factor: 1.750

5.  A highly conserved nuclear gene for low-level phylogenetics: elongation factor-1 alpha recovers morphology-based tree for heliothine moths.

Authors:  S Cho; A Mitchell; J C Regier; C Mitter; R W Poole; T P Friedlander; S Zhao
Journal:  Mol Biol Evol       Date:  1995-07       Impact factor: 16.240

Review 6.  Invasive phytophagous pests arising through a recent tropical evolutionary radiation: the Bactrocera dorsalis complex of fruit flies.

Authors:  Anthony R Clarke; Karen F Armstrong; Amy E Carmichael; John R Milne; S Raghu; George K Roderick; David K Yeates
Journal:  Annu Rev Entomol       Date:  2005       Impact factor: 19.686

7.  Phenetic structure of two Bactrocera tau cryptic species (Diptera: Tephritidae) infesting Momordica cochinchinensis (Cucurbitaceae) in Thailand and Laos.

Authors:  Jean-Pierre Dujardin; Sangvorn Kitthawee
Journal:  Zoology (Jena)       Date:  2013-01-16       Impact factor: 2.240

8.  DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

Authors:  O Folmer; M Black; W Hoeh; R Lutz; R Vrijenhoek
Journal:  Mol Mar Biol Biotechnol       Date:  1994-10

9.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

Review 10.  An Overview of Pest Species of Bactrocera Fruit Flies (Diptera: Tephritidae) and the Integration of Biopesticides with Other Biological Approaches for Their Management with a Focus on the Pacific Region.

Authors:  Roger I Vargas; Jaime C Piñero; Luc Leblanc
Journal:  Insects       Date:  2015-04-03       Impact factor: 2.769

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1.  Descriptions of four new species of Bactrocera and new country records highlight the high biodiversity of fruit flies in Vietnam (Diptera, Tephritidae, Dacinae).

Authors:  Luc Leblanc; Camiel Doorenweerd; Michael San Jose; Hong Thai Pham; Daniel Rubinoff
Journal:  Zookeys       Date:  2018-11-19       Impact factor: 1.546

2.  First Record of an Invasive Fruit Fly Belonging to Bactrocera dorsalis Complex (Diptera: Tephritidae) in Europe.

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3.  Six years of fruit fly surveys in Bangladesh: a new species, 33 new country records and discovery of the highly invasive Bactrocera carambolae (Diptera, Tephritidae).

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4.  A global checklist of the 932 fruit fly species in the tribe Dacini (Diptera, Tephritidae).

Authors:  Camiel Doorenweerd; Luc Leblanc; Allen L Norrbom; Michael San Jose; Daniel Rubinoff
Journal:  Zookeys       Date:  2018-01-17       Impact factor: 1.546

5.  Complete mitochondrial genome of Zeugodacus tau (Insecta: Tephritidae) and differentiation of Z. tau species complex by mitochondrial cytochrome c oxidase subunit I gene.

Authors:  Hoi-Sen Yong; Sze-Looi Song; Phaik-Eem Lim; Praphathip Eamsobhana
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6.  Rapid identification of Bactrocera zonata (Dip.: Tephritidae) using TaqMan real-time PCR assay.

Authors:  Marzieh Koohkanzade; Mohammad Zakiaghl; Manpreet K Dhami; Lida Fekrat; Hussein Sadeghi Namaghi
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7.  Τhe Complete Mitochondrial Genome of Bactrocera carambolae (Diptera: Tephritidae): Genome Description and Phylogenetic Implications.

Authors:  Elena Drosopoulou; Alexandros Syllas; Panagiota Goutakoli; Georgios-Alkis Zisiadis; Theodora Konstantinou; Dimitra Pangea; George Sentis; Alies van Sauers-Muller; Suk-Ling Wee; Antonios A Augustinos; Antigone Zacharopoulou; Kostas Bourtzis
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