Literature DB >> 27103874

Phylogenetic radiation of the greenbottle flies (Diptera, Calliphoridae, Luciliinae).

Kirstin A Williams1, Jennifer Lamb2, Martin H Villet3.   

Abstract

The subfamily Luciliinae is diverse and geographically widespread. Its four currently recognised genera (Dyscritomyia Grimshaw, 1901, Hemipyrellia Townsend, 1918, Hypopygiopsis Townsend 1916 and Lucilia Robineau-Desvoidy, 1830) contain species that range from saprophages to obligate parasites, but their pattern of phylogenetic diversification is unclear. The 28S rRNA, COI and Period genes of 14 species of Lucilia and Hemipyrellia were partially sequenced and analysed together with sequences of 11 further species from public databases. The molecular data confirmed molecular paraphyly in three species-pairs in Lucilia that hamper barcode identifications of those six species. Lucilia sericata and Lucilia cuprina were confirmed as mutual sister species. The placements of Dyscritomyia and Hypopygiopsis were ambiguous, since both made Lucilia paraphyletic in some analyses. Recognising Hemipyrellia as a genus consistently left Lucilia s.l. paraphyletic, and the occasionally-recognised (sub)genus Phaenicia was consistently paraphyletic, so these taxa should be synonymised with Lucilia to maintain monophyly. Analysis of a matrix of 14 morphological characters scored for adults of all genera and for most of the species included in the molecular analysis confirmed several of these findings. The different degrees of parasitism were phylogenetically clustered within this genus but did not form a graded series of evolutionary stages, and there was no particular relationship between feeding habits and biogeography. Because of the ubiquity of hybridization, introgression and incomplete lineage sorting in blow flies, we recommend that using a combination of mitochondrial and nuclear markers should be a procedural standard for medico-criminal forensic identifications of insects.

Entities:  

Keywords:  Lucilia cuprina; Lucilia sericata; molecular systematics; myiasis; parasitism

Year:  2016        PMID: 27103874      PMCID: PMC4829670          DOI: 10.3897/zookeys.568.6696

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


Introduction

All four genera of the subfamily are reported to exhibit parasitism in the form of myiasis – the infestation of humans’ and other animals’ living tissues by fly larvae (Stevens 2003) – ranging from facultative secondary necrophagous myiasis in species like (Meigen, 1826) to obligate primary carnivorous myiasis in species such as Moniez, 1876. (Wiedemann, 1830) and are noted veterinary pests. Molecular approaches to the management of these flies’ populations can be built on a phylogenetic analysis of the species, but such analyses based on morphological data (Stevens and Wall 1997, Otranto and Stevens 2002, Stevens 2003) have found no evolutionary pattern underlying the radiation of feeding behaviours in Robineau-Desvoidy, 1830, and biogeographical patterns in the different forms of myiasis have yet to be studied. Furthermore, several taxonomic questions remain regarding the subfamily, from the molecular identification of its species to the definitions of its genera. At the highest taxonomic level, Rognes (1991) suggested that the genera Grimshaw, 1901, Townsend, 1918, Townsend 1916, and Robineau-Desvoidy, 1830 should be united in the subfamily . Several phylogenetic studies have placed species of within (Wells et al. 2007, Park et al. 2009, Liu et al. 2011, McDonagh and Stevens 2011). Evidence of whether is related to or nested within it has depended on which gene was analysed (Wells et al. 2007, McDonagh and Stevens 2011). The definitions and relationships of these genera therefore need attention. Several other genera have been included in the , such as Townsend, 1919, Shannon, 1924, Ringdahl, 1942, Villeneuve, 1914 and Shannon, 1926 but most of these are now treated as synonyms of . itself has been variously divided into subgenera (Malloch 1926) or genera (Hall 1948), respectively. Robineau-Desvoidy, 1863 has been the most used of these names and its use persists (e.g. Park et al. 2009) even though its validity has been challenged regularly (Aubertin 1933, Zumpt 1965, Stevens and Wall 1996). A phylogenetic study of presents an opportunity to assess this matter. The largest genus in the subfamily, has received few quantitative phylogenetic studies (Aubertin 1933, Stevens and Wall 1996, 1997, Wells et al. 2007, Park et al. 2009, DeBry et al. 2012, Sonet et al. 2012), with research generally focusing on species of medical, veterinary or forensic interest in specific geographic regions (Stevens and Wall 2001, Chen et al. 2004, Wallman et al. 2005, Harvey et al. 2008, Reibe et al. 2009, Liu et al. 2011, Boehme et al. 2012, DeBry et al. 2012, Nelson et al. 2012, Sonet et al. 2013). The most comprehensive revision of the genus was published by Aubertin (1933), who recognised 27 species. Since then revisions of the genus and keys for the identification of its species have been produced, but only for specific geographic regions (Hall 1948, James 1971, Rognes 1980, 1991, Smith 1986, Whitworth 2006, 2010). Most species of are limited to particular continents or islands and very few, such as , are cosmopolitan. It is difficult to assess relationships and biogeographical patterns when studies are taxonomically geographically fragmented. At the species level, and have been referred to as sister-species (Ash and Greenberg 1974) because they are very similar morphologically and each is often misidentified as the other. They are now both found in Australia, New Zealand, South Africa, large parts of Asia, Europe and North America (Waterhouse and Paramonov 1950, Rognes 1980, 1994, Norris 1990, Bishop 1991, 1995, Holloway 1991, Fischer 2000, Harvey et al. 2003a, 2003b, 2008, Chen et al. 2004, Heath and Bishop 2006, Park et al. 2009, Liu et al. 2011, Boehme et al. 2012, GilArriortua et al. 2013). They have each received intensive biological investigation, and it would benefit comparative studies if it could be confirmed that they are actually sister species. Several studies have established that natural hybrids of and exist (Stevens and Wall 1996, Stevens et al. 2002, Wallman et al. 2005, Tourle et al. 2009, DeBry et al. 2010, Williams and Villet 2013). Two other species pairs, Macquart, 1855 and Macquart, 1843, and (Linnaeus, 1758) and (Meigen, 1826), also show molecular paraphyly (DeBry et al. 2012, Sonet et al. 2012, 2013), possibly due to introgressive hybridisation or incomplete lineage sorting. The frequency and phylogenetic distribution of this phenomenon in the genus is of general interest because of its implications for understanding speciation and diversification in the group. The aims of this study are therefore to confirm if and are sister-species; to explore if (Macquart, 1855) / Macquart, 1843 and (Linnaeus, 1758) / (Meigen, 1826) are paraphyletic species; to examine the relationships between the species of and clarify the taxonomic status of ; to estimate the relationships of , , and ; and to assess the geographical and phylogenetic patterns of myiasis-causing behaviour in these flies.

Materials and methods

DNA data

Adult flies were obtained from around the world (Table 1). (Macquart, 1855) were obtained from Benin, South Africa and Tanzania, and Robineau-Desvoidy, 1830 were obtained from France and used as an outgroup (Table 1). Identifications were made by the donors based on morphology and verified using published keys (Aubertin 1931, 1933, Smith 1986, Holloway 1991, Whitworth 2006, 2010). All flies were kept in separate 1.5 ml Eppendorf tubes in 96% ethanol or as dried pinned specimens and deposited with the Durban Natural Science Museum after analysis.
Table 1.

Specimen locality data for sequences added to GenBank. (Accession numbers starting KF are new sequences from this study).

SpeciesSpecimenLocalityAccession Number
28S Per COI
Calliphora vicina CV_FRC_01(F)Montferrier-Sur-LezFrance JN792781 KF839531 KF839562
CV_FRC_02(M)Montferrier-Sur-LezFrance KF839506
Hemipyrellia fernandica H_BEN_01(M)ContonouBenin KF839511 KF839539 KF839567
H_BEN_02(M)ContonouBenin KF839512 KF839540 KF839568
H_SA_DBN_01(F)DurbanSouth Africa KF839513 KF839541 KF839569
H_TAN_01(M)MkurajaTanzania KF839514 KF839542 KF839570
H_TAN_02(M)MkurajaTanzania KF839515 KF839543 KF839571
Lucilia caesar Ca_FRC_01(M)Montferrier-Sur-LezFrance JN792782 JN792858 KF839556
Ca_FRC_02(F)Montferrier-Surz-LezFrance KF839501 KF839532 KF839557
Lucilia coeruleiviridis Co_CAN_01(M)WindsorCanada KF839502 KF839533 KF839558
Co_CAN_02(M)WindsorCanada KF839503 KF839559
Co_USA_03(F)Putnam Co. MissouriUnited States of America KF839504 KF839534 KF839560
Co_USA_04(F)Martinstown, MissouriUnited States of America KF839505 KF839561
Lucilia cuprina C_AUS_01 (M)SydneyAustralia KF856254 JN792622
C_EGT_01 (F)AlexandriaEgypt JN792706 JN792784 JN792625
C_SA_CT_02 (F)Cape TownSouth Africa JN792713 JN792791 JN792632
C_SA_DBN_01(F)DurbanSouth Africa JN792724 JN792802 JN792642
C_THA_02 (F)Chiang MaiThailand JN792741 JN792819 JN792661
C_THA_03 (F)Chiang MaiThailand JN792742 JN792820 JN792662
C_ZIM_02 (F)MatobosZimbabwe JN792745 JN792823 JN792667
Lucilia eximia Ex_CSR_01(F)Santo DomingoCosta Rica KF839507 KF839535 KF839563
Ex_CSR_02(F)Santo DomingoCosta Rica KF839508 KF839536 KF839564
Lucilia fayeae Fa_DOM_01(F)CalibishieDominica KF839509 KF839537 KF839565
Fa_DOM_02(F)CalibishieDominica KF839510 KF839538 KF839566
Lucilia illustris IL_CAN_01(F)WindsorCanada KF839516 KF839544 KF839572
IL_CAN_02(F)WindsorCanada KF839517 KF839545 KF839573
IL_JPN_01(F)Iwate Medical UniversityJapan KF839518 KF839546 KF839574
IL_JPN_02(F)Iwate Medical UniversityJapan KF839519 KF839547 KF839575
IL_SWZ_01(F)Lausanne-SuisseSwitzerland KF839520 KF839548
IL_USA_01(F)MichiganUnited States of America KF839521 KF839549
IL_USA_02(F)MichiganUnited States of America KF839522 KF839550 KF839576
Lucilia infernalis In_BRN_01(F)Parc National de la KibiraBurundi KF839523 KF839551 KF839577
In_RWN_01(F)Nyungwe Forest ReserveRwanda JN792780 JN792857 JN813094
Lucilia mexicana Mx_USA_01(F)New MexicoUnited States of America KF839524 KF839552 KF839578
Mx_USA_02(F)New MexicoUnited States of America KF839525 KF839579
Lucilia papuensis Pa_AUS_01-Australia KF839526
Lucilia porphyrina Po_AUS_01-Australia KF839527 KF839553
Lucilia sericata S_AUS_01 (M)SeafordAustralia JN792746 JN792824 JN792668
S_FRC_01 (F)Montferrier-Sur-LezFrance JN792749 JN792827 JN792671
S_JPN_01 (F)OsakaJapan JN792754 JN792831 JN792678
S_NAM_01 (F)Possession IslandNamibia JN792758 JN792835 JN792682
S_SA_CT_07 (F)Cape TownSouth Africa JN792766 JN792843 JN792690
S_USA_01 (F)MichiganUnited States of America JN792778 JN792855 JN792703
Lucilia silvarum Si_GER_01(F)KempenGermany KF839528 KF839580
Lucilia thatuna Th_USA_01(F)Del Norte Co. CaliforniaUnited States of America KF839529 KF839554 KF839581
Th_USA_02(F)Del Norte Co. CaliforniaUnited States of America KF839530 KF839555 KF839582
Specimen locality data for sequences added to GenBank. (Accession numbers starting KF are new sequences from this study). One hind leg of each fly was used for DNA analysis. DNA was extracted using the Qiagen DNeasy tissue kit (Qiagen, Inc., Valencia, CA) according to the manufacturer’s instructions. Three genes were chosen for sequencing: 28S rRNA (28S), a nuclear gene that has been used in previous studies and would allow comparison with other studies PageBreakPageBreakPageBreak(Stevens et al. 2002, Stevens 2003, Tourle et al. 2009, DeBry et al. 2010, Sonet et al. 2012); Period (Per), a second nuclear gene that is faster-evolving than 28S to give better phylogenetic resolution; and Cytochrome oxidase I (COI), the DNA barcoding gene of choice that has been used in previous studies (Stevens et al. 2002, Stevens 2003, Wallman et al. 2005, Wells et al. 2007, Harvey et al. 2008, Liu et al. 2009, Park et al. 2009, Tourle et al. 2009, DeBry et al. 2010, DeBry et al. 2012, Sonet et al. 2012). A region of approximately 650bp in the Domain 1-2 of the 28S gene was amplified using the primers 5`-CCCCCTGAATTTAAGCATAT-3` and 5`-TTAGACTCCTTGGTCCGTG-3` (Stevens et al. 2002). A region of approximately 600bp of the COI gene was amplified using the primers C1-J1709 (5’-ATTGGGGGGTTTGGAAATTG-3`) and C1-N2353 (5’-GCTCGTGTATCAACGTCTATTCC-3`) (Simon et al. 2006). A region of approximately 730bp of the Per gene, was amplified using the primers Per5 (5’-GCCTTCAGATACGGTCAAAC-3’) (Warman, pers comm) and Per reverse (5`-CCGAGTGTGGTTTGGAGATT-3`) (designed by the authors). amplification was performed using 1µL of DNA in a 25µL reaction. Amplification times were 94 °C for 5 min denaturation, followed by 36 cycles of 94 °C for 30 seconds, 55 °C for 1 min, 72 °C for 30 seconds and a final extension period at 72 °C for 7 min. PCR products were confirmed by gel electrophoresis stained in ethidium bromide. PCR products were then sequenced using an ABI 3730l Genetic Analyzer (Applied Biosystems) and the primers used in amplification. Polymerase chain reaction Additional DNA sequences of 28S, Per and COI were obtained from GenBank (www.ncbi.nlm.nih.gov) (Table 2). Additional COI barcode sequences were downloaded from the website for all available , and species and for (Mello, 1972) and (Wiedemann, 1818) which were included as additional outgroups. Duplicate sequences from the same studies were removed and a total of 207 sequences were included in the analysis. The sequences were aligned and edited using the BioEdit v7.0.9 software (Hall 1999).
Table 2.

GenBank sequences included in this study.

SpeciesLocalityAccession Number
28S Per COI
Calliphora vicina BristolUK AJ300131 AJ417702
Dyscritomyia fasciata -Hawaii AY074902
Dyscritomyia lucilioides -Hawaii AY074903
Dyscritomyia robusta -Hawaii AY074898
Hemipyrellia ligurriens -China DQ345092
Hemipyrellia ligurriens -Taiwan AY097334
Hemipyrellia ligurriens -Taiwan DQ453493
Hemipyrellia pulchra -China DQ345091
Lucilia adiosoemartoi -Indonesia AY074901
Lucilia ampullacea LangfordUK AJ300137
Lucilia ampullacea BristolUK DQ453487
Lucilia ampullacea -Korea EU925394
Lucilia bazini -Taiwan AY346450
Lucilia bazini -China DQ345082
Lucilia caesar LangfordUK AJ300138 AY417703
Lucilia caesar BristolUK DQ453488
Lucilia caesar -Korea EU880196
Lucilia cluvia New OrleansUSA AJ551440 DQ453490
Lucilia cluvia Volusia Co. FloridaUSA JQ942371
Lucilia coeruleiviridis New YorkUSA FJ650558
Lucilia cuprina -China DQ345087
Lucilia cuprina HonoluluHawaii AJ417704
Lucilia cuprina OahuHawaii DQ453496
Lucilia cuprina -Taiwan AY097335
Lucilia cuprina -Thailand EU418577
Lucilia cuprina TororoUganda AJ417711
Lucilia cuprina TownsvilleAustralia AJ417709 AJ417710
Lucilia cuprina WaianaeHawaii AJ417705
Lucilia cuprina WallacevilleNew Zealand Y19108.1
Lucilia cuprina NoordhoekSouth Africa EU626549
Lucilia cuprina CincinnatiUSA FJ650542
Lucilia eximia -Brazil DQ453491
Lucilia hainanensis -Taiwan AY346451
Lucilia hainanensis -China DQ345084
Lucilia illustris LangfordUK AJ300136 AJ551445
Lucilia illustris -Korea EU880204
Lucilia illustris -China DQ345090
Lucilia illustris -India DQ200168
Lucilia mexicana San FranciscoUSA AJ551441 DQ453492
Lucilia mexicana CaliforniaUSA FJ650563
Lucilia mexicana CaliforniaUSA FJ650562
Lucilia papuensis -China DQ345085
Lucilia porphyrina -Taiwan AY097336
Lucilia porphyrina -Japan AY074900
Lucilia porphyrina -China DQ345089
Lucilia richardsi Usk- AJ551142
Lucilia sericata PerthAustralia AB112833
Lucilia sericata NerjaSpain AJ417716
Lucilia sericata KingsburyUK AJ417713
Lucilia sericata HilerodDenmark AJ300140 EF531193
Lucilia sericata HarareZimbabwe AJ417717
Lucilia sericata -China DQ345086
Lucilia sericata LangfordUK AJ300139
Lucilia sericata Los AngelesUSA AJ300141
Lucilia silvarum DurhamUK AJ551443
Lucilia silvarum -USA FJ650564
Lucilia silvarum Linn Co., ORUSA JQ942455
Lucilia taiyuanensis -China DQ345088
Lucilia thatuna San FranciscoUSA AJ551444 DQ453489
Lucilia thatuna Del Norte Co., CaliforniaUSA JQ942464
Barcode of Life Database GenBank sequences included in this study.

Morphological data

The states of the 14 morphological characters defined by Stevens and Wall (1996) were obtained from Aubertin (1931, 1933), Stevens and Wall (1996) and Whitworth (2010) for all of the and species for which sequences were available (Table 3). Museum specimens were inspected where possible to complete the character state matrix. was included as an outgroup.
Table 3.

Binary coding of 14 morphological characters for the genera and . 1 – Colour of the basicostal scale (0 = black/brown, 1 = white/cream); 2 – Number of postsutural acrostichal bristles (0 = two pairs, 1 = three pairs); 3 – Eye separation in the male (0 = distance of greater than the width of the third antennal segment, 1 = less than the width of the third antennal segment); 4 – Number of anterio-dorsal bristles on the mid tibia (0 = one, 1 = two); 5 – Colour of the palpi (0 = yellow/orange, 1 = black/brown); 6 – Subcostal sclerite (0 = bristles absent, 1 = bristles present); 7 – Colour of the squamae (0 = uniform white/cream, 1 = partially or totally brown); 8 – Wings (00 = hyaline, 01 = lightly infuscated, 11 = heavily infuscated); 9 – Eye separation in the female (0 = distance of greater than one quarter of the width of the head, 1 = less than one quarter of the width of the head); 10 – Colour of antennae (0 = uniformly dark, 1 = non-uniform); 11 – Male hypopygium (00 = inconspicuous, 01 = conspicuous, 11 = highly conspicuous); 12 – Colour of abdomen and thorax (0 = predominantly brassy green/green, 1 = predominantly purple/blue/black); 13 – Colour of the legs (00 = dark brown, 01 = brown/black, 11 = black); 14 – Lower squamal lobe (0 = setae absent, 1 = setae present). (Stevens and Wall 1996).

SpeciesCharacter number
1234567891011121314
Calliphora vicina 11110010000111011
Hemipyrellia fernandica 00001100010000110
Hemipyrellia ligurriens 00000100011010110
Hemipyrellia pulchra 00010?00001000110
Lucilia ampullacea 00100100000000010
Lucilia bufonivora 00001000000010110
Lucilia coeruleiviridis 10100000011000000
Lucilia caesar 00100100000110010
Lucilia cluvia 10000000010000000
Lucilia cuprina 11000000000010110
Lucilia eximia 00100010001000000
Lucilia fayeae 00100010100001000
Lucilia illustris 00100100000010110
Lucilia infernalis 01100111101001010
Lucilia mexicana 00100010101000110
Lucilia papuensis 00110110101000110
Lucilia porphyrina 00100110110001000
Lucilia richardsi 11011000000000110
Lucilia sericata 11000000000000110
Lucilia silvarum 01001000000010110
Lucilia thatuna 11100000010000110
Binary coding of 14 morphological characters for the genera and . 1 – Colour of the basicostal scale (0 = black/brown, 1 = white/cream); 2 – Number of postsutural acrostichal bristles (0 = two pairs, 1 = three pairs); 3 – Eye separation in the male (0 = distance of greater than the width of the third antennal segment, 1 = less than the width of the third antennal segment); 4 – Number of anterio-dorsal bristles on the mid tibia (0 = one, 1 = two); 5 – Colour of the palpi (0 = yellow/orange, 1 = black/brown); 6 – Subcostal sclerite (0 = bristles absent, 1 = bristles present); 7 – Colour of the squamae (0 = uniform white/cream, 1 = partially or totally brown); 8 – Wings (00 = hyaline, 01 = lightly infuscated, 11 = heavily infuscated); 9 – Eye separation in the female (0 = distance of greater than one quarter of the width of the head, 1 = less than one quarter of the width of the head); 10 – Colour of antennae (0 = uniformly dark, 1 = non-uniform); 11 – Male hypopygium (00 = inconspicuous, 01 = conspicuous, 11 = highly conspicuous); 12 – Colour of abdomen and thorax (0 = predominantly brassy green/green, 1 = predominantly purple/blue/black); 13 – Colour of the legs (00 = dark brown, 01 = brown/black, 11 = black); 14 – Lower squamal lobe (0 = setae absent, 1 = setae present). (Stevens and Wall 1996).

Phylogenetic analysis

Separate Bayesian inference analyses were performed on each gene in MrBayes (Huelsenbeck and Ronquist 2001) using the best-fitting nucleotide substitution model PageBreakPageBreak(GTR+G in all cases) from jModelTest (Posada 2008). One cold and three hot chains were run for 5 000 000 generations, sampling every 1 000 generations with burn-in of 1 000 samples (20%). tests (Farris et al. 1994) were run in PAUP*4b10 (Swofford 2003) to quantify the differences in topology between trees for 28S, COI and Per. Analyses were then conducted on two combined data sets (nuclear 28S and Per; and total 28S, Per and COI), each partitioned by gene, with the parameters as above. Incongruence length difference A network analysis for the COI data was created using the NeighborNet algorithm in SplitsTree4 (Huson and Bryant 2008) and the uncorrected P-distance method. The COI barcode sequences (~700 bp long, between base numbers 1490 and 2198) retrieved from on-line databases were aligned along with our new sequences (~640 bp long, between base numbers 1709 and 2353) for a region approximately 800 bp long in which every sequence overlapped the others by at least 490 bp. Bayesian inference analysis was performed in MrBayes (Huelsenbeck and Ronquist 2001) using the best-fitting nucleotide substitution model (GTR+G) from jModelTest (Posada 2008). Maximum parsimony analysis of the morphological data (Table 3) using Fitch parsimony was performed in Paup*4b10 (Swofford 2003). Statistical support for nodes was assessed by bootstrapping with 100 replicates retaining a maximum of 10 000 trees. Strict consensus and 50% majority rule trees were produced from the analysis. The zoogeographic distributions of species in the (Table 4) were mapped onto the trees.
Table 4.

Zoogeographic distribution of species of included in this study. Symbols in brackets represent anthropogenic introductions.

SpeciesRegion
HawaiiAfrotropicalAustralasianOrientalPalaearcticNeararcticNeotropical
Dysctritomyia spp.X
Hypopygiopsis spp.XX
Hemipyrellia spp.XXX
Hemipyrellia fernandica X
Lucilia infernalis X
Lucilia cuprina XXX(X)X
Lucilia sericata (X)(X)XXX(X)
Lucilia silvarum XX
Lucilia thatuna X
Lucilia adiosoemartoi X
Lucilia bazini X
Lucilia hainanensis X
Lucilia taiyuanensis X
Lucilia papuensis XX
Lucilia porphyrina XXX
Lucilia ampullacea XX
Lucilia caesar XX
Lucilia illustris XXX
Lucilia cluvia XX
Lucilia coeruleiviridis X
Lucilia mexicana X
Lucilia fayeae X
Lucilia eximia X
Zoogeographic distribution of species of included in this study. Symbols in brackets represent anthropogenic introductions.

Results

Molecular data

Sequencing of the 28S, Per and COI genes resulted in 1932 bp being aligned – 656 bp for 28S, 700 bp for Per and 576 bp for COI. A total of 46 specimens were sequenced for 28S, 41 specimens for Per and 39 specimens for COI. These sequences were submitted to GenBank (Table 1). The ILD test for 28S and Per showed these two genes to be highly congruent (p = 1.00) and the datasets were therefore concatenated for the analyses. The ILD test for 28S, Per and COI showed the combination of these genes to be incongruent (p = PageBreak0.03). Despite the incongruence between the nuclear (28S and Per) and mitochondrial (COI) data, these data sets were also concatenated and an analysis run on the total molecular evidence. The Bayesian inference tree (Fig. 1) for the nuclear genes (28S and Per) clearly showed that and are sister clades with 100% support. Shannon, 1926 and Meigen, 1826 form a sister clade to the clade. The specimens of all grouped together and were sister to Macquart, 1843. The clade sat within the clade (Fig. 1).
Figure 1.

Bayesian inference tree constructed from concatenated nuclear genes 28S + Per. Posterior probabilities are indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , Pa = , Po = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.

Bayesian inference tree constructed from concatenated nuclear genes 28S + Per. Posterior probabilities are indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , Pa = , Po = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town. In the Bayesian inference tree for the mitochondrial gene (COI) (Fig. 2), was paraphyletic with respect to . The + clade was poorly resolved with respect to the + Chu, 1975 clade. The sequences grouped with those of and from GenBank and this clade was sister to Villeneuve, 1914. This + clade sat within the clade on the tree. Two specimens from Taiwan assigned to grouped with the specimens. The three PageBreak sequences included in the analysis grouped together monophyletically outside .
Figure 2.

Bayesian inference tree constructed from mitochondrial gene COI. Posterior probabilities indicated on nodes. Green box = sp. Blue box = sp. C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.

Bayesian inference tree constructed from mitochondrial gene COI. Posterior probabilities indicated on nodes. Green box = sp. Blue box = sp. C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town. The Bayesian inference tree for the incongruent concatenated total evidence molecular dataset (28S, Per and COI) (Fig. 3) showed and to be sister clades with strong support. The sequences sat within , and the rest of the tree was topologically similar to the gene trees.
Figure 3.

Bayesian inference tree constructed from the concatenated nuclear (28S & Per) and mitochondrial (COI) genes. Posterior probabilities indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.

Bayesian inference tree constructed from the concatenated nuclear (28S & Per) and mitochondrial (COI) genes. Posterior probabilities indicated on nodes. Green box = . C = , Ca = , Co = , CV = , Ex = , Fa = , H = IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominican Republic, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town. The NeighborNet analysis (Fig. 4) clearly showed seven distinct major splits. The New World species (, Walker, 1849, Wiedemann, 1819, and Whitworth, 2010) grouped together; , , Walker, 1856, Villeneuve, 1922, , Macquart, 1843, Séguy, 1934 and Fan, 1965 formed a group; was isolated, as was ; the bulk of the species that are primary facultative parasites (, , and ) grouped together; and and the species as the outgroups formed separate but neighbouring splits.
Figure 4.

NeighborNet network diagram constructed from COI data showing parasitic behaviour (coloured text) and previous sub-generic status of according to Hall (1948) (ellipses). Text colours: Red = primary facultative parasite, green = secondary facultative parasite, purple = parasite (unknown if primary or secondary), blue = saprophage, black = unknown parasitic behaviour. C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominica, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town.

NeighborNet network diagram constructed from COI data showing parasitic behaviour (coloured text) and previous sub-generic status of according to Hall (1948) (ellipses). Text colours: Red = primary facultative parasite, green = secondary facultative parasite, purple = parasite (unknown if primary or secondary), blue = saprophage, black = unknown parasitic behaviour. C = , Ca = , Co = , CV = , Ex = , Fa = , H = , IL = , In = , Mx = , S = , Si = , Th = , AUS = Australia, BRN = Burundi, CAN = Canada, CSR = Costa Rica, DOM = Dominica, FRC = France, GER = Germany, JPN = Japan, NAM = Namibia, EGT = Egypt, RWN = Rwanda, SWZ = Switzerland, SA = South Africa, TAN = Tanzania, THA = Thailand, USA = United States of America, ZIM = Zimbabwe. DBN = Durban, CT = Cape Town. Bayesian inference analysis of the COI barcode data set generated a tree (Fig. 5) with very strong posterior probabilities for most clades except for the + (p = 0.61) and + (p = 0.58) clades. The species all formed a distinct clade within with 100% support. One of the (Bigot, 1877) sequences forms a clade with + + and the other sequence groups with the sequences. sat outside with , confirming its classification as a chrysomyine.
Figure 5.

Bayesian inference tree constructed using COI barcode sequences. Posterior probabilities indicated on nodes. Support within the collapsed nodes is variable. Green box = sp.

Bayesian inference tree constructed using COI barcode sequences. Posterior probabilities indicated on nodes. Support within the collapsed nodes is variable. Green box = sp. The strict consensus parsimony tree for the morphological characters was largely uninformative, forming only two clades, with the majority of the species being unresolved (tree not shown). The 50% majority rule consensus tree (Fig. 6) grouped , , , and together. and grouped together in all of the trees. The species formed a clade within , and and grouped together.
Figure 6.

Majority rule consensus tree for 21 species of and constructed from morphological characters listed in Table 3. Green box = sp.

Majority rule consensus tree for 21 species of and constructed from morphological characters listed in Table 3. Green box = sp.

Discussion

The majority rule consensus tree of the morphological characters (Fig. 6) was largely incongruent with the molecular phylogenetic trees (Figs 1–3, 5). The only clade that was congruent contains + + + + + . In the COI Bayesian inference tree this clade included too (Fig. 5). This is partly due to disparities in taxon sampling and possibly partly a result of the limited character set available for the morphological parsimony analysis. It is ideal to have at least three times more characters than species in this type of analysis (Stevens and Wall 1996), whereas the matrix has 21 species and 17 character states, which limits the conclusions about general trends that can be drawn from these morphological data. This discussion will therefore focus on the results of the molecular analyses.

Relationship of and

Although only about half of the species listed as valid by Aubertin (1933) were included in this study, these results strongly suggest that and are indeed sister species. All of the Bayesian inference analyses (Figs 1–3) indicated this with strong support from the nuclear genes (28S and Per) and total evidence (28S + Per + COI) trees and weaker support from the COI gene alone. was paraphyletic (Fig. 2) with respect to in the mitochondrial gene (COI) tree, as shown previously (using the same sequences but weaker auxiliary taxon sampling) to be the result of introgressive hybridisation between these two species (Williams and Villet 2013). In another study (McDonagh and Stevens 2011), the nuclear gene elongation factor-1 alpha (EF-1α) did not recover and as sister-species, but the clade containing was poorly resolved and thus the conclusion was weakly supported, but the 28S and COI gene trees both recovered and as sister species with strong support (McDonagh and Stevens 2011).

Molecular identification of species

It has already been established that and show a case of ancient introgression, and that they still interbreed (Williams and Villet 2013). This is a widely PageBreakacknowledged problem for identification using partial COI sequences alone (Rubinoff et al. 2006, Nelson et al. 2007, Roe and Sperling 2007, Williams et al. 2008, Tantawi et al. 2010, Williams and Villet 2013). Other problematic species pairs occur in the genus (DeBry et al. 2012, Sonet et al. 2012), and it is important to recognise the cause(s) and to document genes that are more useful for identification in these contexts. In the Bayesian inference trees based on mitochondrial (COI) (Fig. 2) and total evidence (28S, Per and COI) (Fig. 3), was paraphyletic with respect to . This has been observed in the continental United States of America (DeBry et al. 2012), where these two species were found to share a mitochondrial haplotype. The specimens with this haplotype appear to be limited to a geographic area including Texas and New Mexico (DeBry et al. 2012). This study independently confirms this pattern, since our new sequences of from New Mexico grouped with , and the GenBank specimens of from California formed a distinct clade (Figs 2–3). This suggests introgression between and . The nuclear genes separated and , although was not resolved in this analysis (Fig. 1). In the Bayesian inference tree based on the Per gene alone (tree not shown), these two species are recovered as sister clades with 100% support, which suggests that nuclear genes will separate these two species as they do for and (Williams and Villet 2013). and also share haplotypes (Sonet et al. 2012). In the COI tree (Fig. 2), specimens from France and Korea and one specimen of from the UK were not resolved, but the remainder of the and specimens formed a mixed clade with 100% support. These two species can therefore not be unambiguously identified using only COI. The nuclear genes in this study (Fig. 1) separated these two species but used only two specimens of from France and seven specimens of from Japan, Switzerland, Canada and the United States of America. Including specimens from other countries may give a different result as was seen in a previous study (Sonet et al. 2012) where and could not be reliably identified using either mitochondrial or nuclear genes as the intraspecific and interspecific genetic distances were very low. This might result from hybridisation or incomplete lineage sorting (Sonet et al. 2012). These three species pairs highlight the need for using more than one gene to identify species, as has been suggested in previous studies (Rubinoff et al. 2006, Nelson et al. 2007, Roe and Sperling 2007, Williams et al. 2008, Tantawi et al. 2010, Williams and Villet 2013). It also highlights a problem in using COI as a universal ‘barcoding’ gene (Rubinoff et al. 2006, Roe and Sperling 2007, Whitworth et al. 2007, Sonet et al. 2012, van Nieukerken et al. 2012, Jordaens et al. 2013), especially in a forensic context. While cases of ancient introgression remain genetically identifiable (DeBry et al. 2012, Williams and Villet 2013), cases of incomplete lineage sorting may be intractable, and morphological identification may be the best solution, especially if the identifications need to go to court.

Diversification of

The showed two strong patterns underlying their diversification: biogeographical radiation and the diversification of parasitism. The analyses (summarised in Fig. 4) showed geographically distinct clusters of species from the New World ( + + + + ), the Oriental region ( + + + Kurahashi, 1988), and Eurasia ( + ). formed a monophyletic Old World lineage (Aubertin 1931). is found only in Africa (Aubertin 1933) and the sequences from Rwanda and Burundi formed a separate group. One component of phylogenetic diversification within is therefore certainly biogeographical. , , and form a clade of facultatively parasitic species, with and being primary facultative parasites. This group is geographically diverse, with only being restricted to one region, the United States of America. Likewise, and form a clade that represents secondary facultative parasites. is Holarctic, while is restricted to the Palaearctic (DeBry et al. 2012). is endemic to the Hawaiian Islands (Wells et al. 2002) and phylogenetically coherent. Its members are attracted to carrion and are suspected of breeding in carrion and parasitizing snails (Hardy 1981). Many species are myiasis-causing (Zumpt 1965), with being the most recognised and often referred to as the sheep-strike blowfly (Hepburn 1943, Ullyett 1945, Vogt and Woodburn 1979, Heath and Bishop 2006). Other species of known to be facultative parasites include , , , , , , , and ; the only obligately parasitic species in the genus are and possibly (Aubertin 1933, Hall 1948, Zumpt 1965, Rognes 1991, McDonagh and Stevens 2011). There are also saprophagous species within , including , , and (Hall 1948, Zumpt 1965). None of these different parasitic behaviours are limited to any particular geographical area (Fig. 4). This implies that diversification of breeding behaviours has also been a component of phylogenetic diversification within , independent of biogeography.

Taxonomy of

Robineau-Desvoidy, 1830 (type species: (Linnaeus, 1758) has a complex nomenclatural history that is integrally related to its biogeographical and dietary radiation. Several authors including Bigot, van der Wulp, Brauer and Bergenstamm, Girschner, Hough, Kramer, Shannon and Malloch (Aubertin 1933) contributed to the ultimate development of this genus. Early studies of the European PageBreakwere conducted by Stein (1924), Richards (1926), Collin (1926) and Séguy (1928) and Shannon published on the North and South Amercican (1926) (Aubertin 1933). Aubertin (1933) published the most comprehensive review of the genus and recognised 27 species. This genus is widely spread across with world. The adults of this genus feed on nectar, carrion and decomposing material and the females are oviparous (Aubertin 1933). The larvae of this genus develop on decomposing animal material. Several species have developed specialised parasitic behaviour such as , which lays its eggs on living sheep and the larvae feed on the live animals, causing myiasis. is a parasite of toads. Robineau-Desvoidy, 1863 (type species: Robineau-Desvoidy, 1863 = Meigen, 1826) has a history of varied usage. Hall (1948) divided into several separate genera including , and sensu stricto. Hall’s (1948) separation of species into the genera and was primarily based on the presence or absence of bristles on the subcostal sclerite and the character of the ocellar triangle. In contrast, Malloch (1926) used the yellow colour of the basicostal scale and the presence of three postsutural acrostichal bristles to define his concept of . The use of has persisted in North American literature (Stevens and Wall 1996, Byrd and Castner 2010), but is not generally used in other parts of the world as it is seen as a junior synonym of (Zumpt 1965). In the network analysis (Fig. 4), the species that would be assigned to based on Hall’s (1948) criteria can clearly be seen to be part of two distant clades. These species occur in both the Old and New Worlds, showing vast geographic ranges. The group includes species that are primary facultative parasites and species that are saprophages. Hall’s (1948) usage of s.str. refers only to (and for clarity between the two) as he focused only on Nearctic blowflies. The remaining species that would fall into this clade based on his diagnostic criteria grouped with and in our analyses (Fig. 4), and includes species that are primary and secondary facultative parasites as well as species that are saprophagous. Townsend, 1919 (type species: ) includes the species , and (by monophyly) , which are found in Europe and North America. forms a part of the clade that includes most of the facultatively parasitic species (Fig. 4). There is no obvious reason to separate into (sub)genera based on the parasitic behaviour of the species because primary and secondary facultatively parasitic and saprophagous species are spread throughout the genus (Fig. 4). Recognising also makes paraphyletic (Fig. 4). Villeneuve, 1914 and Séguy, 1925 (type species: Villeneuve, 1914 = Robineau-Desvoidy, 1863) are monotypic genera founded on the same species, and therefore objective synonyms. The only species shows affinities with in some analyses (Fig. 2, 4), and is always embedded inside , leaving no reason to recognise a separate genus. Similarly, Shannon, 1924, and Ringdahl, 1942, are objective synonyms because they are based on the same species. Several other genus-group PageBreaktaxa have been erected within the , including Rodendorf, 1926, Rodendorf, 1926, Malloch, 1926 and Shannon, 1926. Their status needs assessment, and the results presented here suggest that morphological analyses alone will not be sufficient. Phylogenetic studies including a selection of both nuclear and mitochondrial genes are recommended. Townsend, 1918 (type species: Macquart, 1855) was erected as a genus by Townsend (1918) and revised by Aubertin (1931). It had previously been suggested that was a synonym of (Shannon 1926). is restricted to the Old World and the species are saprophagous. The results of this study place within for both nuclear and mitochondrial analyses with 100% support (Figs 1 and 2), the COI barcode Bayesian tree (Fig. 5) with very strong support, and the morphological majority rule consensus tree (Fig. 6) with weak (56%) support. In two studies of Australian blowflies, was found to be a sister-group to (Wallman et al. 2005, Nelson et al. 2012), but these studies included only species of that occur in Australia, thus may be a sister-clade to Australian as an artefact of taxon sampling. Similarly, another study (Singh and Wells 2013) found to be sister-group to , but this was based on one specimen of and one specimen of . Several other studies have sequenced specimens and found them to lie within (Wells et al. 2007, Park et al. 2009, Liu et al. 2011, McDonagh and Stevens 2011). Two specimens of from Taiwan (Fig. 2) group within the clade. This is probably a misidentification because the specimens of and , both from China, group with sequenced in this study. Assuming that the other specimens are not all misidentified, these previous studies together with the results of this study provide strong support for the synonymy of and . Grimshaw, 1901 (type species: Grimshaw, 1901) contains 35 nominal species that are all found exclusively on the Hawaiian Islands (James 1981). The biology of differs from the other in that at least some species are viviparous and produce only one larva at a time that is retained in the uterus for the first two instar stages. Little is known about their parasitic behaviour but it is assumed that species are facultatively parasitic saprophages (Hardy 1981). was included in the COI Bayesian inference analysis and was recovered as a separate clade to (Fig. 2). In previous studies, was recovered within when analysing the COI and EF-1α genes (Wells et al. 2007, McDonagh and Stevens 2001) but it was recovered as a sister clade to when analysing the 28S gene (McDonagh and Stevens 2011). was also recovered as a sister group to in a study of the COI and COII genes (Wells et al. 2002). The current study used only a 576 bp region of the total COI gene from the sequences available on GenBank that were used in the study of Wells et al. (2002), but still recovered as a sister clade to . It therefore does not appear that the length of the COI sequence affects the analysis significantly. This study used 20 species of in the COI analysis while the previous studies used six and 13 species, respectively (Wells et al. 2002, McDonagh and Stevens 2011). The position of relative to may be determined by the taxon sampling of , as mentioned regarding . This highlights the need for a more comprehensive study of this genus and inclusion of as many and species as possible to confirm the taxonomic relationship between and . Townsend, 1916 (type species: Townsend, 1916 = Walker, 1856) is restricted to the Asian and Australasian regions of the world (Kurahashi 1977). This genus apparently exhibits both oviparous and larviparous behaviour. The larval behaviour includes both facultative parasitism and saprophagy. was included in the Bayesian inference analysis of the COI barcode dataset. One sequence grouped within (Fig. 5) as part of a clade including + + . On closer examination of the sequences, was identical to the sequence from China. The sequence from China that groups with these two sequences differs by only one base pair. This places doubt on the identification of these sequences and prevents any meaningful inferences being drawn. The second sequence groups with . There are only five sequences of publically available and therefore the limited number of sequences constrains the credibility of this result and it is recommended that more sequences of this genus are examined to clarify if this genus should also be synonymised with .

Conclusion

and are indeed sister-species. is confirmed to be paraphyletic with respect to , possibly as a result of hybridisation and introgression. and are both paraphyletic and further studies with different genes are needed to determine if these two species can be identified using molecular methods. should be synonymised with because this genus sits within in all of the analyses conducted in this study. requires further studies to confirm its phylogenetic positioning with regard to because taxon sampling appears to have an impact on the analysis. The limited number of sequences available for and the apparent misidentification of sequences prevent any conclusions being drawn about its relationship to . In this study we have identified at least three cases of misidentified sequences from GenBank, which is a well-known problem (Bridge et al. 2003, Harris 2003, Nilsson et al. 2006, Valkiūnas et al. 2008). There is no geographic pattern to the distribution of the different parasitic behaviours within the and no reason to sub-divide into genera or sub-genera based on either geographic location or parasitic behaviour.
  36 in total

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