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. 2013 Dec 30;(365):149–174. doi: 10.3897/zookeys.365.6202

DNA barcoding and the differentiation between North American and West European Phormia regina (Diptera, Calliphoridae, Chrysomyinae)

Kurt Jordaens 1,2, Gontran Sonet 3, Yves Braet 4, Marc De Meyer 1, Thierry Backeljau 2,3, Frankie Goovaerts 2, Luc Bourguignon 4, Stijn Desmyter 4
PMCID: PMC3890676  PMID: 24453556

Abstract Abstract

Phormia regina (the black fly) is a common Holarctic blow fly species which serves as a primary indicator taxon to estimate minimal post mortem intervals. It is also a major research model in physiological and neurological studies on insect feeding. Previous studies have shown a sequence divergence of up to 4.3% in the mitochondrial COI gene between W European and N American P. regina populations. Here, we DNA barcoded P. regina specimens from six N American and 17 W European populations and confirmed a mean sequence divergence of ca. 4% between the populations of the two continents, while sequence divergence within each continent was a ten-fold lower. Comparable mean mtDNA sequence divergences were observed for COII (3.7%) and cyt b (5.3%), but mean divergence was lower for 16S (0.4–0.6%). Intercontinental divergence at nuclear DNA was very low (≤ 0.1% for both 28S and ITS2), and we did not detect any morphological differentiation between N American and W European specimens. Therefore, we consider the strong differentiation at COI, COII and cyt b as intraspecific mtDNA sequence divergence that should be taken into account when using P. regina in forensic casework or experimental research.

Keywords: Black fly, COI, COII, cyt b, 16S, 28S, ITS2

Introduction

Forensic entomology uses the larval and pupal developmental stages of insects sampled on a corpse to estimate a minimum post-mortem interval (PMImin) of the corpse (Amendt et al. 2004, 2007). This requires i) detailed and accurate knowledge of the developmental rate of the species of forensic interest under different temperature conditions (Charabidze 2012), and ii) identification tools by which the different immature insect stadia can be identified (Catts 1992). Blowflies (family Calliphoridae) are among the most common insects found on dead bodies shortly after death. The species differ in their developmental times and have therefore a high potential for the accurate estimation of the PMImin. Unfortunately, several forensically important blow fly species can hardly be distinguished morphologically, especially in the larval and pupal stages (e.g. Catts 1992). To improve the success and reliability of identifications, a number of molecular techniques and tools have been explored to identify forensically important species (Wells and Stevens 2008, reviewed in Jordaens et al. in press).

Currently, the most popular molecular method for organismal identification is DNA barcoding, which was promoted by Hebert et al. (2003a, b) as a standardized molecular identification tool for all animals. It refers to establishing species-level identifications by sequencing a fragment of the mitochondrial cytochrome c oxidase subunit I (COI) gene, the “DNA barcode”, into a taxonomically unknown specimen and performing comparisons with a reference library of barcodes of well-identified species. COI barcodes (and other fragments of COI) indeed have been successfully applied in the identification of many calliphorid species (e.g. Wallman and Donnellan 2001, Wells and Sperling 2001, Nelson et al. 2007, Wells and Williams 2007, Harvey et al. 2008, Desmyter and Gosselin 2009, DeBry et al. 2013). Yet, COI fails to unambiguously discriminate among several calliphorid species pairs (e.g. Nelson et al. 2007, see also the Discussion) and the use of alternative identification tools (e.g. other genes) could be necessary to acquire correct identifications.

The monophyly of Calliphoridae has been questioned for many years (e.g. Griffiths 1982) and paraphyly or polyphyly was suggested by a morphology-based parsimony analysis (Rognes 1997). Nonmonophyly was also found in a molecular phylogenetic analysis of the Calyptratae with Calliphoridae being polyphyletic with respect to the Tachinidae and Rhinophoridae. Within this ‘calliphorid-tachinid-rhinophorid’ clade, the subfamily Chrysomyinae was para- or polyphyletic (Kutty et al. 2010). The Chrysomyinae comprises two tribes, Chrysomyini and Phormiini, of which the Phormiini has three genera (Table 1). Phormia regina (Meigen, 1826) (black fly) is the only species in the monotypic genus Phormia. It is a Holarctic blow fly species that is commonly found on human or animal faeces (Coffey 1966) and that is frequently found on corpses. It therefore serves as a primary species to estimate the PMImin (e.g. Byrd and Allen 2001). Further, the species also plays an important role in secondary myasis in cattle (e.g. Francesconi and Lupi 2012) and is used in maggot therapy (Knipling and Rainwater 1937).

Table 1.

Taxonomy of the subfamily Chrysomyinae (family Calliphoridae) with indication of the number of DNA sequences (the number of haplotypes is given in parentheses) for each of the species used in this study (numbers combined from this study and GenBank) and for each of the gene fragments studied. No. ind. = number of individuals; No. hapl. = number of haplotypes; No. spp. = number of species.

Genus/species COI COII 16S cyt b ITS2 28S
251 bp 350 bp
Chrysomyini Chloroprocta Wulp, 1896
Chloroprocta idioidea (Robineau-Desvoidy, 1830) 2(2) 1(1) 1(1)
Chrysomya Robineau-Desvoidy, 1830
Chrysomya albiceps (Wiedemann, 1819) 3(2) 1(1) 2(1) 2(1)
Chrysomya bezziana Villeneuve, 1914 5(2) 1(1) 10(6) 2(1) 2(2)
Chrysomya cabrerai Kurahashi & Salazar, 1977 1(1)
Chrysomya chani Kurahashi, 1979 1(1) 11(2)
Chrysomya chloropyga (Wiedemann, 1818) 1(1) 2(2)
Chrysomya defixa (Walker, 1856) 1(1)
Chrysomya flavifrons (Aldrich, 1925) 3(2) 1(1) 4(2)
Chrysomya greenbergi Wells & Kurahashi, 1996 1(1)
Chrysomya incisularis (Macquart, 1851) 9(2) 2(2) 1(1)
Chrysomya latifrons (Malloch, 1927) 6(2) 1(1) 5(1)
Chrysomya megacephala (Fabricius, 1794) 79(11) 28(7) 66(31) 20(3) 2(2) 42(3) 4(2)
Chrysomya nigripes Aubertin, 1932 9(7) 3(3) 7(1)
Chrysomya norrisi James, 1971 1(1) 1(1)
Chrysomya pacifica Kurahashi, 1991 1(1) 1(1)
Chrysomya pinguis (Walker, 1858) 7(4) 1(1) 14(2)
Chrysomya putoria (Wiedemann, 1830) 2(2) 1(1) 1(1) 2(1)
Chrysomya rufifacies (Macquart, 1843) 25(10) 45(9) 10(5) 1(1) 14(1) 2(2)
Chrysomya saffranea (Bigot, 1877) 7(2) 1(1) 8(2)
Chrysomya semimetallica (Malloch, 1927) 11(5) 3(2) 10(2)
Chrysomya thanomthini Kurahashi & Tumrasvin, 1977 1(1)
Chrysomya varipes (Macquart, 1851) 7(6) 6(2) 1(1)
Chrysomya villeneuvi Patton, 1922 7(1)
Cochliomyia Townsend, 1915
Cochliomyia hominivorax (Coquerel, 1858) 78(73) 65(62) 2(1) 90(24) 2(1)
Cochliomyia macellaria (Fabricius, 1775) 3(3) 1(1) 1(1) 4(1)
Compsomyiops Townsend, 1918
Compsomyiops calipes (Bigot, 1877) 1(1) 1(1)
Compsomyiops fulvicrura (Robineau-Desvoidy, 1830) 1(1) 1(1) 1(1)
Hemilucilia Brauer, 1895
Hemilucilia segmentaria (Fabricius, 1805) 1(1) 1(1) 1(1)
Hemilucilia semidiaphana (Rondani, 1850) 1(1) 1(1) 1(1)
Paralucilia Brauer & Bergenstamm, 1891
Paralucilia paraensis (Mello, 1969) 1(1)
Trypocalliphora Peus, 1960
Trypocalliphora braueri (Hendel, 1901) 1(1)
Phormiini Phormia Robineau-Desvoidy, 1830
Phormia regina (Meigen, 1826) 48(20) 30(9) 15(2) 15(2) 17(10) 36(2) 38(2)
Protophormia Townsend, 1908
Protophormia terraenovae (Robineau-Desvoidy, 1830) 17(7) 1(1) 2(2) 1(1) 1(1) 4(2)
Protocalliphora Hough, 1899
Protocalliphora azurea (Fallen, 1817) 2(2) 1(1) 1(1) 1(1)
Protocalliphora occidentalis Whitworth, 2003 1(1)
Protocalliphora sialia Shannon & Dobroscky, 1924 1(1) 1(1)
Protocalliphora sp. 1(1)
Total no. ind. 339 194 95 39 32 263 66
Total no. hapl. 180 108 42 9 20 55 21
Total no. spp. 36 20 6 6 5 24

Phormia regina is a highly mobile species that is abundant in North American areas with cool spring and fall temperatures and in warmer areas, but then at higher altitudes (Hall 1948, Brundage et al. 2011). The developmental time of Phormia regina seems highly variable and could be influenced by a number of environmental variables (Kamal 1958, Greenberg 1991, Anderson 2000, Byrd and Allen 2001, Nabity et al. 2007, Núñez-Vázquez et al. 2013). Using amplified fragment length polymorphisms (AFLP), Picard and Wells (2009) studied the population genetic structure of N American Phormia regina and found that the N American populations were panmictic but with significant temporal genetic differences within populations, even over short periods of time. They therefore suggested that part of the variation in developmental times and growth curves that was observed in laboratory studies is not only due to local environmental (i.e. laboratory) conditions, but also to differences in the genetic composition of the laboratory stocks. This finding is important for forensic sciences since it shows that forensically relevant ecological data from one population (i.e. from a forensic case) cannot be extrapolated to other populations (i.e. to other forensic cases). Interestingly, Desmyter and Gosselin (2009) found a 4.2% sequence divergence at a 304 bp COI fragment between N American and W European specimens. Subsequently, Boehme et al. (2012) found a similar sequence divergence (range: 3.5%–4.31%) at the COI barcodes between N American and W European Phormia regina specimens.

Because high COI sequence divergences are often indicating species level differentiation (e.g. Hebert et al. 2003a, b), the strong COI differentiation between N American and W European Phormia regina specimens calls for a taxonomic re-assessment. We therefore studied DNA sequence variation in mitochondrial and nuclear DNA, and examined morphological differentiation between N American and W European populations of Phormia regina to i) provide additional DNA barcodes for Phormia regina, ii) examine molecular differentiation between N American and W European specimens in other genes, and iii) assess whether the COI differentiation is correlated with morphological differentiation. The taxonomy of Phormia regina is then re-evaluated in the light of these results.

Material and methods

Specimen collection and morphological examination

Sixty-one adult individuals of Phormia regina were captured at several localities in N America (Indiana, Texas, Virginia, Washington, Wyoming) and W Europe (Belgium, France, Germany) and stored in > 70% ethanol (Appendix 1Supplementary table 1). The individuals were qualitatively scored for the color of 11 external characters (Table 2). In addition, we dissected the male copulatory organs of five W European and five N American individuals to study the general shape of the penis, cerci and surstyli (Figure 1).

Table 2.

Color scoring of eleven external morphological characters of adult W European and N American Phormia regina.

Character W Europe and N America
calypters white
first spiraculum white to yellow
thoracic dorsum metallic green-bluish to dark green
scutellum dark green
legs black
abdomen metallic green-bluish
facial ridge red-brown
gena black
postgena black
first antennal segment dark-brown to black
second antennal segment white-grey

Figure 1.

Figure 1.

Lateral (top) and dorsal (bottom) view of the male copulatory organs of Phormia regina from W Europe (left) and N America (right) with a detail of the penis (middle).

DNA sequence analysis

DNA was extracted from on one or two legs. The remaining parts of the vouchers are kept at the NICC (National Institute of Criminalistics and Criminology – Brussels, Belgium) as pinned material. Genomic DNA was extracted using the NucleoSpin Tissue kit (Macherey-Nagel). A fragment of 721 bp from the 5’-end of the COI gene, including the standard barcode region (Hebert et al. 2003a, b), was amplified using primer pair TY-J-1460 and C1-N-2191 (Sperling et al. 1994, Wells and Sperling 2001). Five other DNA markers were sequenced for a more limited set of samples (Appendix 1Supplementary table 1). Fragments of the mitochondrial 16S ribosomal RNA (16S), cytochrome c oxidase subunit II (COII), and cytochrome b (cyt b) genes, and of the nuclear ribosomal internal transcribed spacer 2 (ITS2) and fragment D1–D2 of the 28S ribosomal RNA (28S) were amplified using primer pairs 16Sf.dip/16Sr.dip (Kutty et al. 2007), C2-J-3138/TK-N-3775 (Wells and Sperling 2001), CB1-SE/PDR-WR04 (Ready et al. 2009), ITS2F.dip/ITS2R (Song et al. 2008) and D1F/D2R (Stevens and Wall 2001), respectively.

Each 25 µl PCR reaction was prepared using 1 × PCR buffer, 0.2 mM dNTPs, 0.4 μM of each primer, 2.0 mM MgCl2, 0.5 U of Taq DNA polymerase (Platinum®, Invitrogen), 2–4 µl DNA template (DNA was stored in 100 µl of elution buffer) and enough mQ-H2O to complete the total PCR reaction volume. The thermal cycler program consisted of an initial denaturation step of 4 min at 94 °C, followed by 30–40 cycles of 45–60 s at 94 °C, 30–60 s at a fragment depending annealing temperature and 90 s at 72 °C; with a final extension of 7 min at 72 °C. The annealing temperatures were 45 °C for COI and COII, 48 °C for 16S and cyt b, 50 °C for ITS-2 and 55 °C for 28S. PCR products were cleaned using the NucleoFast96 PCR® kit (Macherey-Nagel) and bidirectionally sequenced on an ABI 3130 Genetic Analyzer (Applied Biosystems) using the BigDye® Terminator Cycle Sequencing Kit v3.1. Together with the Phormia regina specimens we also collected several Protophormia terraenovae specimens that were also sequenced to increase the number of material for comparison (Appendix 1Supplementary table 1). Sequences were assembled in SeqScape v2.5 (Applied Biosystems) and deposited in GenBank under accession numbers KF908069KF908124 (COI), KF908126KF908152 (COII), KF908153KF908169 (cyt b), KF908054KF908068 (16S), KF908170KF908203 (ITS2), and KF908204KF908237 (28S).

Phormiini and its sister clade Chrysomyini form the Chrysomyinae (Singh and Wells 2011a, b). We therefore downloaded from GenBank (and for all genes) all available sequences (at 11 July 2013) of the Phormiini (genera Phormia, Protophormia and Protocalliphora) and of the Chrysomyini (genera Chloroprocta, Chrysomya, Cochliomyia, Compsomyiops, Hemilucilia, Paralucilia and Trypocalliphora) to allow comparison with closely related taxa (Table 1). Sequences were aligned in MAFFT v7 (Katoh and Standley 2013). Sequences with > 5 ambiguous positions were discarded and each dataset was trimmed to equal sequence length (Table 3). The 16S dataset was trimmed at 251 bp and at 350 bp to yield a higher number of Chrysomyinae haplotypes for the latter dataset (i.e. 22 vs. 42 unique haplotypes; six species in the ingroup for both datasets). Alignments are available as fasta files in the online Appendix 2 text file. Unique sequences (haplotypes) were selected in DAMBE5 (Xia 2013). Nucleotide sequence divergences within and between species (based on the haplotypes) were calculated using the uncorrected p-distances in MEGA v5.05 (Tamura et al. 2011). For these calculations we excluded haplotypes that were not identified to the species level (one Protocalliphora sp. for COI) or that were most likely identification errors (for details see the Results). MEGA v5.05 was also used to construct Neighbour-Joining (NJ) trees (Saitou and Nei 1987) using the p-distances with complete deletion of positions with ambiguities and alignment gaps (indels). Relative branch support was evaluated with 1000 bootstrap replicates (Felsenstein 1985). In all analyses, several Lucilia spp. or Calliphora spp. sequences from GenBank were added as outgroups, and for COI we also used Lucilia sericata NICC0390 as outgroup (GenBank accession number KF908125). Author names of all species are provided in Table 1.

Table 3.

Description of the Phormia regina and other Chrysomyinae DNA sequences (including those retrieved from GenBank) for each of the gene fragments.

Marker COI COII 16S cyt b ITS2 (without indels) 28S (without indels)
251 bp 350 bp
Fragment size (bp) 655 472 251 350 512 380 (224) 633 (592)
Phormia regina
Total
No of sequences 50 30 15 15 17 36 37
No of haplotypes 20 9 2 4 10 4 2
North America (NA)
No of sequences 27 27 11 11 10 25 23
No of haplotypes 14 7 1 3 7 1 2
Mean intra-NA distances (%) 0.004 0.004 - 0.004 0.005 - 0.002
SE 0.001 0.002 - 0.003 0.002 - 0.002
min. – max. 0.002–0.008 0.002–0.006 - 0.003–0.006 0.002–0.008 - 0.002
Europe (EU)
No of sequences 23 3 4 4 7 11 14
No of haplotypes 6 2 1 1 3 4(2) 1
Mean intra-EU distances (%) 0.003 0.002 - - 0.002 0.002 -
SE 0.001 0.002 - - 0.007 0.002 -
min. – max. 0.002–0.008 0.002 - - 0.002–0.010 0.002 -
Mean p-distance between NA and EU 0.04 0.037 0.004 0.006 0.053 0.001 0.001
SE 0.007 0.008 - 0.003 0.009 0.001 0.001
min. – max. 0.036–0.044 0.034–0.042 0.004 0.005–0.009 0.047–0.061 0–0.004 0–0.002
Other Chrysomyinae
Mean intraspecific p-distance 0.005 0.014 0.028 0.014 0.003 0.008 0.003
SE 0.009 0.014 0.009 - 0.002 0.005 0.004
min. – max. 0–0.042 0–0.037 0.018–0.036 0.014 0.002–0.005 0.004–0.015 0–0.010
Mean interspecific p-distance 0.066 0.046 0.038 0.023 0.079 0.085 0.007
SE 0.005 0.005 0.006 0.004 0.007 0.011 0.002
min. – max. 0.011–0.113 0.002–0.135 0.03–0.075 0.023–0.057 0.073–0.141 0.009–0.166 0–0.015

Results

Morphology

We did not detect morphological differences between N American and W European Phormia regina specimens in the 11 external color characters that we scored (Table 2). Also the male copulatory organs of W European and N American Phormia regina specimens were indistinguishable (Figure 1).

DNA sequence analysis

Basic information of the different datasets can be found in Table 3. There was only high bootstrap support for the monophyly of Chrysomyinae, Phormiini or Chrysomyini with 28S and a sister group relationship of Phormia regina and Protophormia terraenovae with ITS2. Yet, for all fragments, except for 28S, there was high bootstrap support for the monophyly of Phormia regina (Figures 24 and Appendix 1Supplementary figures 13).

Figure 2.

Figure 2.

Neighbour-Joining tree (p-distances) of a 655 bp fragment of the mitochondrial cytochrome c oxidase subunit I (COI) gene. Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

Figure 3.

Figure 3.

Neighbour-Joining tree (p-distances) of a 472 bp fragment of the mitochondrial cytochrome c oxidase subunit II (COII) gene. Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

Figure 4.

Figure 4.

Neighbour-Joining tree (p-distances) of a 512 bp fragment of the mitochondrial cytochrome b (cyt b) gene. Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

COI: The COI NJ-tree showed two supported clades within Phormia regina (Figure 2). One clade (EU = Europe) comprised six haplotypes from Europe (23 specimens sequenced), while the other clade (NA = North America) comprised 14 haplotypes from N America (27 specimens sequenced). The seven NA haplotypes available in GenBank clustered within the NA clade. The mean p-distance between the EU and NA Phormia regina haplotypes was 0.04 ± 0.007 (Table 3). Sequence divergence in Phormia regina within each continent was approximately a ten-fold lower, viz. EU: 0.003 ± 0.001 – NA: 0.004 ± 0.001.

The mean p-distances between Chrysomyinae species pairs were: between three Protocalliphora spp.: 0.05 ± 0.006, 23 Chrysomya taxa: 0.06 ± 0.005 (the three Chrysomya megacephala specimens with GenBank accession numbers KC135924, KC135925 and KC135926 were treated as a different taxon from the other Chrysomya megacephala specimens because of a strong sequences divergence, viz. mean p-distance = 0.089 ± 0.01; see Figure 2), Cochliomyia macellariaCochliomyia hominivorax: 0.068 ± 0.009, and Hemilucilia semidiaphanaHemilucilia segmentaria: 0.078 ± 0.001. The mean intra- and interspecific p-distances between all Chrysomyinae species (excluding Phormia regina) were 0.005 ± 0.009 and 0.066 ± 0.005, respectively (Table 3).

COII: The two EU and seven NA haplotypes of Phormia regina (from 30 specimens) formed two strongly supported clades (Figure 3) separated by mean p-distance of 0.037 ± 0.008 (Table 3). The three COII sequences from GenBank (from NA specimens) had the same haplotype as our NA specimens. Sequence divergence in Phormia regina within each continent was approximately a ten-fold lower, viz. EU: 0.002 ± 0.002 – NA: 0.004 ± 0.002 (Table 3). The mean p-distance between the 14 Chrysomya taxa was 0.059 ± 0.007. We considered Chrysomya megacephala_FJ153270 and Chrysomya rufifacies_FJ839395 as misidentifications, and Chrysomya rufifacies_AY842670_AY842671 to be different from the other Chrysomya rufifacies individuals given the high sequence divergence (viz. mean p-distance = 0.10 ± 0.013). The mean p-distance between Cochliomyia macellaria and Cochliomyia hominivorax was 0.048 ± 0.009. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.014 ± 0.014 and 0.046 ± 0.005, respectively (Table 3).

Cyt b: The three EU and seven NA haplotypes of Phormia regina (from 17 specimens) formed two strongly supported clades (Figure 4) with a mean p-distance of 0.053 ± 0.009 between these two clades (Table 3). There were no cyt b sequences of Phormia in GenBank. Sequence divergence in Phormia regina within each continent was approximately a ten-fold lower, viz. EU: 0.002 ± 0.007 – NA: 0.005 ± 0.002 (Table 3). The mean p-distance between the three Chrysomya species was 0.046 ± 0.005. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.003 ± 0.002 and 0.079 ± 0.007, respectively (Table 3).

16S: For the 350 bp dataset, the three NA 16S haplotypes (from 15 specimens) (mean within NA p-distance = 0.004 ± 0.003; Table 3) formed a well-supported clade, and formed a monophyletic group with the single EU haplotype (Supplementary figure 1A). The mean p-distance between the NA and EU haplotypes was 0.006 ± 0.003. The mean p-distance between Chrysomya megacephala and Chrysomya rufifacies was 0.040 ± 0.009. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.014 and 0.023 ± 0.004.

For the 251 bp dataset, all eleven NA specimens had the same haplotype with a p-distance of 0.004 to the EU haplotype (four specimens) (Supplementary figure 1B). The mean p-distance between Chrysomya megacephala and Chrysomya rufifacies was 0.059 ± 0.012. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.028 ± 0.009 and 0.038 ± 0.006, respectively (Table 3).

ITS2: Excluding indels, all Phormia regina specimens (36 specimens) had the same haplotype (Supplementary figure 2), except for Phormia regina NICC0302 that had a C instead of a T at position 219 of the alignment (p-distance = 0.003). Phormia regina NICC0640 had a deletion at position 201, and Phormia regina NICC0048 had an insertion of a G at position 270 of the alignment. Both specimens were from the same locality (Liège – Belgium) in W Europe. The p-distance between Cochliomyia hominivorax and Cochliomyia macellaria was 0.008 ± 0.001, that between Hemilucilia segmentaria and Hemilucilia semidiaphana was 0.106 ± 0.018, and the mean p-distance among 16 Chrysomya species was 0.085 ± 0.010. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.008 ± 0.005 and 0.085 ± 0.011, respectively (Table 3).

28S: All 37 Phormia regina specimens had the same haplotype, except for Phormia regina JQ246614 from N America that had an AG insertion at positions 460-461 of the alignment (Supplementary figure 3). One haplotype of Protophormia terraenovae (three specimens with GenBank accession numbers AJ300142, JQ307780 and JQ246615) only differed by two indels from haplotype JQ246614 of Phormia regina (at positions 408 and 460-461) (the other Protophormia terraenovae haplotype differed at more positions). The mean p-distance between Cochliomyia macellaria and Cochliomyia hominivorax was 0.005, that between Protocalliphora azurea and Protocalliphora sialia was zero [an indel at position 439 (A) in Protocalliphora azurea) of the alignment], and that between Hemilucilia semidiaphana and Hemilucilia segmentaria was 0.013. The mean p-distance among the six Chrysomya species was 0.006 ± 0.002. The mean intra- and interspecific p-distances among all Chrysomyinae species (excluding Phormia regina) were 0.003 ± 0.004 and 0.007 ± 0.002, respectively (Table 3).

Discussion

Desmyter and Gosselin (2009) and Boehme et al. (2012) found a mean sequence divergence of approximately 4% within a 304 bp and the barcoding COI region between N American and W European Phormia regina, respectively. We confirmed this COI divergence with newly sequenced material. Such a strong divergence at COI is common among insect species (e.g. Park et al. 2011a, b, Webb et al. 2012, Ng’endo et al. 2013). Moreover, we here show a similar degree of divergence at two other mtDNA genes, viz. COII (3.7%) and cyt b (5.3%). The ‘within-continent’ divergence in Phormia regina was very low (0.2-0.5% for the three genes) and comparable to the intraspecific differentiation of other Chrysomyinae (0.5% for COI, 1.4% for COII, 0.3% for cyt b). Hence, the high between-continent mtDNA differentiation, and low within-continent mtDNA divergence may hint at a taxonomic difference between the N American and W European populations. In order to evaluate this suggestion, we included all publicly available GenBank sequences from species of the subfamily Chrysomyinae for the four mtDNA and two nDNA gene fragments that we sequenced. The combined study of mtDNA and nDNA has proven valuable to disentangle the taxonomy of other calliphorid species (e.g. Nelson et al. 2007, Sonet et al. 2012).

On the one hand, our results show that the mean p-distance of other intrageneric interspecific comparisons (COI: 5–6.8%, COII: 4.8-5.9%, cyt b: 4.6%, 16S (251 bp): 5.9%), or among other Chrysomyinae species in general (COI: 6.6%, COII: 4.6%, cyt b: 7.9%, 16S (251 bp): 3.8%), are higher than the mean p-distances between N American and W European Phormia regina at the four mtDNA fragments (COI: 4%, COII: 3.7%, cyt b: 5.3%, 16S: 0.6%). For cyt b the NA-EU differentiation in Phormia regina is higher than that observed within other Chrysomyinae species (0.3%) yet still below the minimum interspecific p-distance (7.3%). On the other hand, for COI and COII, the NA-EU differentiation in Phormia regina is higher than the intraspecific differentiation in other Chrysomyinae species and well within the range of interspecific p-distances within Chrysomyinae. Yet, the low interspecific p-distance between some Chrysomyinae species may be due to misidentifications or may be the result of a natural process (e.g. hybridization, incomplete lineage sorting). Likewise, the high intraspecific variation within some species may be indicative of cryptic diversity (see further).

North American and W European Phormia regina were not differentiated at both nDNA fragments, and at the mtDNA 16S (< 1%), whereas interspecific p-distances in Chrysomyinae in general are substantial for ITS2 (8.5%) and 16S (3.8%). Moreover, the NA-EU differentiation in Phormia regina at these genes was even lower than the minimum intraspecific differentiation within other Chrysomyinae. This suggests that the variation at these genes in Phormia regina is intraspecific variation. Finally, we could neither detect color differences in 11 external characters, nor in the general shape of the male copulatory organs between N American and W European specimens. Evidently, a statistical analysis of more specimens (from a wider range of the species’ distribution) is necessary to reliably assess within and among population variation at these (and eventually other) morphological characters. For the time being, we consider the high differentiation at COI, COII and cyt b, but the low (16S, nDNA) or lack of (morphological) differentiation, as indicative of substantial intraspecific mtDNA sequence divergence, rather than as a species-level differentiation.

Our findings may have important implications for the use of Phormia regina in forensic and other scientific fields. Indeed, it has been suggested that the high variation in developmental times and growth curves of Phormia regina (e.g. Byrd and Allen 2001 and references therein) is partly due to differences in the population genetic structure (Picard and Wells 2009) and that therefore ecological data obtained from one population should not be generalized or extrapolated to other populations (Byrne et al. 1995). Interestingly, Marchenko (2001) reports a mean accumulated degree-days (from egg to adult) of 148 °C (lower development temperature: 11.4 °C) for Russian/Lithuanian Phormia regina, whereas a mean accumulated degree-days of 162 °C (lower development temperature: 11.16 °C) was found for N American Phormia regina (Yves Braet, unpublished preliminary results). Hence, the strong mtDNA divergence between N American and W European Phormia regina requires a sound comparison of the ecology of populations from both continents, especially since Phormia regina is a key species in the study of the physiology and neurology of insect feeding (e.g. Haselton et al. 2009, Larson and Stoffolano 2011, Ishida et al. 2012). Moreover, if locally diverged populations differ in their developmental biology, then this may affect the estimate of PMImin.

Intraspecific mtDNA divergence in other Chrysomyinae species is sometimes also high, viz. 4.3% for COI in Chrysomya megacephala, and 2.2%, 2.6% and 3.7% for COII in Chrysomya megacephala, Chrysomya semimetallica and Chrysomya rufifacies, respectively. Whereas these high intraspecific divergences may be due to hybridization/introgression or incomplete lineage sorting, they may also point to misidentifications. Obviously these issues are problematic if DNA barcoding of animals is only based on COI, as advocated by Hebert et al. (2003a, b). For instance, three Chrysomya megacephala specimens (KC135924, KC139925, KC135926) have a remarkably high p-distance of 8% with the other Chrysomya megacephala haplotypes and it would be advisable to re-identify these specimens. Also Chrysomya semimetallica shows much more intraspecific sequence variation (mean p-distance = 0.011 ± 0.003) as compared to other Chrysomyinae species but at the same time the species has a low mean interspecific p-distance with Chrysomya albiceps (p-distance = 0.017 ± 0.004).

Although there is no doubt that COI is a useful tool for the identification of forensically important Chrysomyinae species (Wells and Sperling 2001, Nelson et al. 2007, Wells and Williams 2007, Desmyter and Gosselin 2009, Boehme et al. 2012) not all species can be identified with COI. For instance, there is very low mean interspecific p-distance of 0.006 ± 0.002 between Chrysomya megacephala (excluding the three aforementioned haplotypes), Chrysomya cabrerai, Chrysomya saffranea and Chrysomya pacifica (the first two even share a haplotype) (see also Harvey et al. 2008). Therefore, other genes (or gene fragments) might help to overcome the shortcomings of the sole use of COI as molecular identification tool. We here showed that also COII may be a good DNA barcode marker in the Chrysomyinae. Indeed, the mean interspecific p-distance at COII is 4.6%, whereas the mean intraspecific distance is much lower (1.4%). Yet, the amount of Chrysomyinae COII data that is currently available in public libraries such as GenBank (194 sequences representing 108 haplotypes from 20 species), is rather limited compared to the amount of COI data (339 sequences representing 180 haplotypes from 36 species) (Table 1). Moreover, the problems inherent to misidentifications and introgression also apply to COII (or any other DNA marker). For instance, Chrysomya megacephala FJ153270 shares a haplotype within the Chrysomya rufifacies clade, and Chrysomya rufifacies FJ839395 shares a haplotype within the Chrysomya megacephala clade. Also other species share haplotypes such as Chrysomya semimetallica and Chrysomya latifrons. The other two mtDNA fragments (cyt b and 16S) cannot yet be evaluated as DNA barcode markers because of insufficient sequence data (cyt b: 32 sequences representing 20 haplotypes of five species; 16S: 39 sequences representing nine haplotypes of six species) (Table 1), but both have been shown to discriminate sufficiently between other dipteran species of forensic interest (Vincent et al. 2000, Li et al. 2010).

So far, the forensically important species within the Chrysomyinae belong to the genera Chrysomya, Cochliomyia, Paralucilia, Protophormia and Phormia. A number of COI reference datasets of these species are available (e.g. Wallman and Donnellan 2001, Wells and Sperling 2001, Nelson et al. 2007, Wells and Williams 2007, Harvey et al. 2008, Desmyter and Gosselin 2009, Boehme et al. 2012) and they seem to work well to identify most forensically important species. Yet, it is important to also include species without a clear forensic interest in (local) reference databases because this will improve the assessment of species boundaries which, in turn, may help to reach a stable taxonomy.

In conclusion, we observed substantial differentiation between N American and W European Phormia regina at the mtDNA genes COI, COII and cyt b, but not at the 16S rDNA and the nDNA genes ITS2 and 28S. Moreover, we neither detected any morphological differentiation between specimens from both continents. We therefore consider the strong mtDNA divergence between specimens from both continents as intraspecific variation. This differentiation has to be taken into account when using Phormia regina in forensic casework or physiological studies. Finally, the use of COII as a DNA barcode marker in the Chrysomyinae seems to perform as good as the standard COI barcode region.

Acknowledgements

We wish to thank Françoise Hubrecht for her support, Knut Rognes for his help with the literature, and Sofie Vanpoucke (NICC) for her help in making the pictures of the genitalia. We thank Jens Amendt, Richard Zehner and Benoît Vincent for providing part of the W European Phormia material, and Neal Haskell, Jefferey Tomberlin and Jeffrey Wells for collecting part of the N American Phormia specimens. The comments of one referee improved the manuscript considerably. This work was done in the context of FWO research network W0.009.11N “Belgian Network for DNA Barcoding”. JEMU is funded by the Belgian Science Policy Office (Belspo).

Appendix 1

Supplementary figure 1.

Supplementary figure 1.

Neighbour-Joining tree (p-distances) of a 350 bp (A) and of a 251 bp (B) fragment of the mitochondrial 16S gene. Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

Supplementary figure 2.

Supplementary figure 2.

Neighbour-Joining tree (p-distances) of a 404 bp (229 bp without indels) fragment of the nuclear internal transcribed spacer 2 (ITS2). Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

Supplementary figure 3.

Supplementary figure 3.

Neighbour-Joining tree (p-distances) of a 633 bp fragment of the nuclear 28S gene. Bootstrap values ≥ 70% are shown at the nodes. N gives the number of specimens of that haplotype. EU = Phormia regina haplotypes from W Europe; NA = Phormia regina haplotypes from N America.

Supplementary table 1.

Sampling localities, voucher numbers and GenBank numbers of the Phormia regina and Protophormia terraenovae that were sequenced in this study.

Species continent/country country/state city/county latitude/longitude voucher no. GenBank accession no.
COI COII 16S cyt b ITS2 28S
Phormia regina Europe Belgium Andrimont 50°36'36"N, 5°54'36"E NICC 0323 KJ908102
Andrimont 50°36'36"N, 5°54'36"E NICC 0324 KF908103
Andrimont 50°36'36"N, 5°54'36"E NICC 0325 KF908104
Andrimont 50°36'36"N, 5°54'36"E NICC 0326 KF908105
Andrimont 50°36'36"N, 5°54'36"E NICC 0327 KF908106
Andrimont 50°36'36"N, 5°54'36"E NICC 0328 KF908107
Andrimont 50°36'36"N, 5°54'36"E NICC 0329 KF908108
Andrimont 50°36'36"N, 5°54'36"E NICC 0331 KF908109
Andrimont 50°36'36"N, 5°54'36"E NICC 0332 KF908199 KF908234
Andrimont 50°36'36"N, 5°54'36"E NICC 0334 KF908200 KF908235
Andrimont 50°36'36"N, 5°54'36"E NICC 0336 KF908201
Auderghem 50°49'05"N, 4°24'41"E NICC 0032 KF908069
Custine 49°41'41"N, 3°49'28"E NICC 0314 KF908100
Genk 50°57'13"N, 5°29'56"E NICC 0038 KF908054
Genk 50°57'13"N, 5°29'56"E NICC 0355 KF908110
Hastière 50°13'14"N, 4°49'39"E NICC 0027 KF908153 KF908171
Laeken 50°53'10"N, 4°22'36"E NICC 0044 KF908126 KF908055 KF908154 KF908172
Liège 50°37'49"N, 5°33'17"E NICC 0048 KF908127 KF908056 KF908155 KF908173 KF908205
Liège 50°37'49"N, 5°33'17"E NICC 0638 KF908202
Liège 50°37'49"N, 5°33'17"E NICC 0640 KF908169 KF908203 KF908236
Liège 50°37'49"N, 5°33'17"E NICC 0641 KF908237
Messancy 49°35'31"N, 5°48'54"E NICC 0317 KF908101
Schaerbeek 50°51'34"N, 4°22'25"E NICC 0035 KF908070
Schoonaarde 51°00'17"N, 4°00'05"E NICC 0359 KF908111
Schoonaarde 51°00'17"N, 4°00'05"E NICC 0360 KF908112
Steendorp 51°07'25"N, 4°14'49"E NICC 0054 KF908128 KF908057 KF908206
Toernich 49°39'01"N, 5°45'07"E NICC 0024 KF908170 KF908204
France Sarreguemines 49°06'50"N, 7°04'18"E NICC 0295 KF908092 KF908227
Sarreguemines 49°06'50"N, 7°04'18"E NICC 0296 KF908093 KF908166 KF908195 KF908228
Germany Frankfurt 50°06'41"N, 8°40'49"E NICC 0301 KF908094 KF908196 KF908229
Frankfurt 50°06'41"N, 8°40'49"E NICC 0302 KF908095 KF908197 KF908230
Frankfurt 50°06'41"N, 8°40'49"E NICC 0303 KF908096 KF908167
Frankfurt 50°06'41"N, 8°40'49"E NICC 0304 KF908097
Frankfurt 50°06'41"N, 8°40'49"E NICC 0305 KF908168 KF908231
Frankfurt 50°06'41"N, 8°40'49"E NICC 0306 KF908098 KF908198 KF908232
Frankfurt 50°06'41"N, 8°40'49"E NICC 0307 KF908099 KF908233
USA Indiana Rensselaer Co. 40°56'12"N, 87°09'03"W NICC 0275 KF908088 KF908150 KF908222
Rensselaer Co. 40°56'12"N, 87°09'03"W NICC 0276 KF908089 KF908151 KF908192 KF908223
Rensselaer Co. 40°56'12"N, 87°09'03"W NICC 0277 KF908090 KF908152 KF908068 KF908193 KF908224
Rensselaer Co. 40°56'12"N, 87°09'03"W NICC 0278 KF908194 KF908225
Rensselaer Co. 40°56'12"N, 87°09'03"W NICC 0279 KF908091 KF908226
Texas Brazos 32°39'41"N, 98°07'19"W NICC 0265 KF908080 KF908140 KF908063 KF908212
Brazos 32°39'41"N, 98°07'19"W NICC 0266 KF908081 KF908141 KF908064 KF908161 KF908184 KF908213
Brazos 32°39'41"N, 98°07'19"W NICC 0267 KF908082 KF908142 KF908065 KF908162 KF908214
Brazos 32°39'41"N, 98°07'19"W NICC 0268 KF908143 KF908066 KF908163 KF908185 KF908215
Brazos 32°39'41"N, 98°07'19"W NICC 0269 KF908144 KF908067 KF908164 KF908186 KF908216
Virginia Pr. Williams Co. 38°31'20"N, 77°17'22"W NICC 0260 KF908075 KF908135 KF908158 KF908179
Pr. Williams Co. 38°31'20"N, 77°17'22"W NICC 0261 KF908076 KF908136 KF908060 KF908159 KF908180 KF908209
Pr. Williams Co. 38°31'20"N, 77°17'22"W NICC 0262 KF908077 KF908137 KF908160 KF908181 KF908210
Pr. Williams Co. 38°31'20"N, 77°17'22"W NICC 0263 KF908078 KF908138 KF908061 KF908182
Pr. Williams Co. 38°31'20"N, 77°17'22"W NICC 0264 KF908079 KF908139 KF908062 KF908183 KF908211
Washington Snohomish Co. 47°54'46"N, 122°05'53"W NICC 0270 KF908083 KF908145 KF908187 KF908217
Snohomish Co. 47°54'46"N, 122°05'53"W NICC 0271 KF908084 KF908146 KF908165 KF908188 KF908218
Snohomish Co. 47°54'46"N, 122°05'53"W NICC 0272 KF908085 KF908147 KF908189 KF908219
Snohomish Co. 47°54'46"N, 122°05'53"W NICC 0273 KF908086 KF908148 KF908190 KF908220
Snohomish Co. 47°54'46"N, 122°05'53"W NICC 0274 KF908087 KF908149 KF908191 KF908212
Wyoming Park Co. 44°31'52"N, 108°57'40"W NICC 0255 KF908071 KF908130 KF908174
Park Co. 44°31'52"N, 108°57'40"W NICC 0256 KF908131 KF908058 KF908175
Park Co. 44°31'52"N, 108°57'40"W NICC 0257 KF908072 KF908132 KF908156 KF908176
Park Co. 44°31'52"N, 108°57'40"W NICC 0258 KF908073 KF908133 KF908177 KF908207
Park Co. 44°31'52"N, 108°57'40"W NICC 0259 KF908074 KF908134 KF908059 KF908157 KF908178 KF908208
Protophormia terraenovae Europe Belgium Andrimont 50°36'36''N, 5°54'36''E NICC 0030 KF908113
Andrimont 50°36'36''N, 5°54'36''E NICC 0095 KF908115
Andrimont 50°36'36''N, 5°54'36''E NICC 0096 KF908116
Andrimont 50°36'36''N, 5°54'36''E NICC 0336 KF908117
Andrimont 50°36'36''N, 5°54'36''E NICC 0337 KF908118
Andrimont 50°36'36''N, 5°54'36''E NICC 0338 KF908119
Andrimont 50°36'36''N, 5°54'36''E NICC 0339 KF908120
Andrimont 50°36'36''N, 5°54'36''E NICC 0340 KF908121
Andrimont 50°36'36''N, 5°54'36''E NICC 0341 KF908122
Andrimont 50°36'36''N, 5°54'36''E NICC 0342 KF908123
Auderghem 50°49'05''N, 4°24'41''E NICC 0033 KF908114
Auderghem 50°49'05''N, 4°24'41''E NICC 0358 KF908124

Appendix 2

Text file with the alignments for all the gene fragments studied. (doi: 10.3897/zookeys.365.6202.app2) File format: Text file (txt).

ZooKeys-365-149-s001.txt (171.8KB, txt)

Explanation note: Text file with the alignments (fasta format) for all the gene fragments studied (COI, COII, cyt b, 16S (251 bp), 16S (350 bp), ITS2 and 28S, respectively).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Text file with the alignments for all the gene fragments studied. (doi: 10.3897/zookeys.365.6202.app2) File format: Text file (txt).

ZooKeys-365-149-s001.txt (171.8KB, txt)

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