BioMed Research International

BioMed Research International / 2018 / Article

Research Article | Open Access

Volume 2018 |Article ID 2953892 | https://doi.org/10.1155/2018/2953892

Ji Hye Park, Sang Eon Shin, Kwang Soo Ko, Seong Hwan Park, "Identification of Forensically Important Calliphoridae and Sarcophagidae Species Collected in Korea Using SNaPshot Multiplex System Targeting the Cytochrome c Oxidase Subunit I Gene", BioMed Research International, vol. 2018, Article ID 2953892, 9 pages, 2018. https://doi.org/10.1155/2018/2953892

Identification of Forensically Important Calliphoridae and Sarcophagidae Species Collected in Korea Using SNaPshot Multiplex System Targeting the Cytochrome c Oxidase Subunit I Gene

Academic Editor: Kostas Iatrou
Received12 Aug 2017
Revised27 Dec 2017
Accepted15 Jan 2018
Published28 Feb 2018

Abstract

Estimation of postmortem interval (PMI) is paramount in modern forensic investigation. After the disappearance of the early postmortem phenomena conventionally used to estimate PMI, entomologic evidence provides important indicators for PMI estimation. The age of the oldest fly larvae or pupae can be estimated to pinpoint the time of oviposition, which is considered the minimum PMI (). The development rate of insects is usually temperature dependent and species specific. Therefore, species identification is mandatory for estimation using entomological evidence. The classical morphological identification method cannot be applied when specimens are damaged or have not yet matured. To overcome this limitation, some investigators employ molecular identification using mitochondrial cytochrome c oxidase subunit I (COI) nucleotide sequences. The molecular identification method commonly uses Sanger’s nucleotide sequencing and molecular phylogeny, which are complex and time consuming and constitute another obstacle for forensic investigators. In this study, instead of using conventional Sanger’s nucleotide sequencing, single-nucleotide polymorphisms (SNPs) in the COI gene region, which are unique between fly species, were selected and targeted for single-base extension (SBE) technology. These SNPs were genotyped using a SNaPshot® kit. Eleven Calliphoridae and seven Sarcophagidae species were covered. To validate this genotyping, fly DNA samples (103 adults, 84 larvae, and 4 pupae) previously confirmed by DNA barcoding were used. This method worked quickly with minimal DNA, providing a potential alternative to conventional DNA barcoding. Consisting of only a few simple electropherogram peaks, the results were more straightforward compared with those of the conventional DNA barcoding produced by Sanger’s nucleotide sequencing.

1. Introduction

Estimation of postmortem interval (PMI) is important in unusual death cases. Various methods relying on early postmortem changes, such as livor mortis, rigor mortis, and body cooling, have been used to estimate PMI [1]. Estimation of PMI using insects is important for late postmortem changes. Medicolegal entomology focuses primarily on providing evidence of the amount of time during which a corpse or carcass has been exposed to colonization by insects, which helps to estimate the minimum postmortem interval () [2, 3]. The first arrivers at a carcass are usually flies (order Diptera), especially blowflies (family Calliphoridae) [4].

In general, forensically important fly families include Calliphoridae, Sarcophagidae, Muscidae, and Piophilidae [5]. The family Calliphoridae is the taxon of greatest significance in forensic entomology. According to the first survey of forensically important entomofauna collected from medicolegal autopsies in South Korea, the predominant family of necrophagous flies was Calliphoridae and the second Sarcophagidae [6]. We selected 11 Calliphoridae and 7 Sarcophagidae species mainly based on the list from a previous study in South Korea [7]. One Sarcophagidae species, S. crassipalpis, was added based on the literature [6, 8].

A morphology-based identification method has traditionally been used to identify forensically important fly species. However, morphology-based identification has limitations. First, the fly obtained from the crime scene may lack the characteristics necessary for identification because of damage. Second, the taxonomic literature regarding immature stage samples is currently insufficient. Third, rearing samples to adult stages is time consuming. Last, identification of closely related sister species can cause confusion [9]. Accordingly, molecular identification methods utilizing nucleotide sequence comparison have been proposed as alternatives. DNA-based methods for species identification can solve these problems, especially for scientists who are not formally trained in taxonomy, and can be applied to all life stages and sample types, including ancient or damaged samples whose morphological characteristics have been destroyed [10, 11].

The molecular identification of fly species using a variety of gene regions has been researched [1214]. The mitochondrial cytochrome c oxidase subunit I (COI) gene region has been the region most commonly used for insect identification due to its high degree of interspecies nucleotide variation [1517]. Moreover, the properties of the mitochondrial COI gene are maternally inherited with no recombination event, and these gene regions are easy to amplify because of their high copy numbers. Unlike nuclear genes, these genes lack noncoding regions and are highly conserved among phyla [18]. Therefore, we have chosen single-nucleotide polymorphisms (SNPs) within the COI gene region that can discriminate between species of flies.

Conventionally, the molecular identification method has used Sanger’s nucleotide sequencing to identify forensically important fly species. This method involves a complicated and time-consuming process. Therefore, a variety of other molecular techniques for identification have been reported, such as RFLP (restriction fragment length polymorphism) and AFLP (amplified fragment length polymorphism) [12, 13]. However, identification based on these techniques relies on a complicated decoding process, and throughput is too low [19]. Because many forensic samples at crime scenes exist in small amounts or in degraded condition, a new method that does not require Sanger’s sequencing would be beneficial [2022].

We used the single-base extension (SBE) method with fluorescence intensity detection (SNaPshot multiplex system), which is one of the SNP genotyping methods. The SBE method with fluorescence intensity detection has the advantages of a high success rate, the capacity for multiplex, a reasonable price, and universal application [23]. To our knowledge, this is the first adoption of SBE technology for identification of forensically important flies.

2. Materials and Methods

2.1. Sample Collection

Ninety-seven adult flies, 84 larvae, and 4 pupae were collected from Jeju Island, Jeollanam-do Province, Gyeonggi-do Province, and Seoul, South Korea. One hundred sixteen Calliphoridae flies were collected, and 69 Sarcophagidae flies were collected. The Calliphoridae species were Lucilia ampullacea (Villeneuve), Lucilia caesar (Linnaeus), Lucilia illustris (Meigen), Calliphora lata (Coquillett), Calliphora vicina (Robineau-Desvoidy), Chrysomya megacephala (Fabricius), Chrysomya pinguis (Walker), Lucilia sericata (Meigen), Phormia regina (Meigen), Aldrichina grahami (Aldrich), and Triceratopyga calliphoroides (Rohdendorf). The Sarcophagidae species were Parasarcophaga albiceps (Meigen), Sarcophaga similis (Meade), Sarcophaga haemorrhoidalis (Fallén), Sarcophaga peregrina (Robineau-Desvoidy), Sarcophaga melanura (Meigen), Sarcophaga dux (Thomson), and Sarcophaga crassipalpis (Macquart). Adult samples of each species were identified morphologically. The species of larvae and pupae were identified using molecular barcoding targeting the COI gene region.

2.2. DNA Extraction

DNA was extracted using a GeneAll Tissue SV Mini Kit (GeneAll, Seoul, Korea). The method followed the manufacture’s protocols in the kit for relevant sample types. A nondestructive DNA extraction method was used for adult fly samples to preserve voucher specimens [24]. The samples of larva and pupa were destroyed and exhausted for DNA extraction.

2.3. Selection of Species-Specific SNPs

To select fly species-specific SNPs, full-length nucleotide sequences of the COI gene from 18 fly species (11 species of Calliphoridae, 7 species of Sarcophagidae) were collected from the NCBI GenBank (http://www.ncbi.nlm.nih.gov/nuccore/). Additionally, the fly samples were searched with the Basic Local Alignment Search Tool (BLAST) at the National Center for Biotechnology Information. To exclude intraspecific SNPs from the targeted interspecific SNPs, the sequences of each species were aligned using MEGA 5.10 software, and a representative consensus sequence of each species was generated. The accession numbers retrieved from the GenBank data are shown in Table 1. The International Union of Pare and Applied Chemistry (IUPAC) nucleic acid code was used to indicate nucleotide degeneracy in the consensus sequences. The Calliphoridae and Sarcophagidae samples (97 adults, 84 larvae, and 4 pupae) were analyzed using Sanger’s nucleotide sequencing with previously announced study primer sets [6]. The consensus sequences were created by alignment, and then SNPs were selected based on interspecies variation. Following the consensus sequence, 6 SNP markers that can distinguish Calliphoridae 11 species were selected.


FamilySpeciesNCBI accession numberAuthors of relevant papersYear publishedCoverage on COI gene

CalliphoridaeLucilia ampullaceaEU925394, DQ453487, EU418575Hwang JJ et al., Wells JD et al., Harvey ML et al.2009, 2006, 2008Full, 7-end, 1–1167
Lucilia caesarEU880193–EU880196, KM657111–KM657113Park SH et al., Schoofs K et al.2009, 20141–1359
Triceratopyga calliphoroidesEU880176–EU880179Park SH et al.2009Full
Lucilia illustrisKM657109–KM657110, EU880197–EU880205Schoofs K et al., Park SH et al.2014, 20091–1488, full
Calliphora lataEU880183–EU880187Park SH et al.2009Full
Chrysomya megacephalaJX913788–JX913739, AJ426041Nelson LA et al., Stevens JR et al.2012, 2008Full
Chrysomya pinguisKM873620, KM244730, AY092759Park SH et al., Yan J et al., Chen WY et al.2014, 2014, 2004Full, 1–1534, full
Phormia reginaKF225240–KF225248GilArriortua M et al.20141–1274
Lucilia sericataJX913754–JX913757, EU880208–EU880212Nelson LA et al., Park SH et al.2012, 20091–1534, full
Calliphora vicinaEU880188–EU880192, JX913760, KF918981Park SH et al., Nelson LA et al., Sonet G et al.2009, 2012, 2013Full, 1–1534, 1–1534
Aldrichina grahamiEU880181, KP872701Park SH et al., Guo YD et al.2009, 2015Full, 1–1534

SarcophagidaeParasarcophaga albicepsJX861469–JX861473, KT444443Kim YH et al., Guo YD et al.2014, 2015Full, 1–1534
Sarcophaga duxJX861474–JX861475, EF405937–EF405939Kim YH et al., Tan SH et al.2014, 2010Full, 7-end
Sarcophaga haemorrhoidalis∗∗KM881633, JX861406–JX861408Fu X et al., Kim YH et al.20141–1534, full
Sarcophaga melanuraKP091687, JX861418–JX861419Zhang C et al., Kim YH et al.20141–1534, full
Sarcophaga peregrinaJX861409–JX861412, KF921296Kim YH et al., Zhong M et al.2014Full, 1–1534
Sarcophaga similisKM287431, JX861476–JX861480Cai JF et al., Kim YH et al.20141–1534, full
Sarcophaga crassipalpisKC005711, KJ420597–KJ420599Ramakodi MP et al., Guo YD et al.2012, 20141–1534, 7-end

dux: the revised name of Sarcophaga harpax in the previous study [7]; haemorrhoidalis (syn): Sarcophaga africa (Wiedemann, 1824).
2.4. Species Identification with the SNaPshot Multiplex System
2.4.1. SNaPshot Template Amplification by Singleplex PCR according to Family

To amplify the mitochondrial COI locus, which contains the fly species-specific SNPs, two primer pairs were designed. One was for the Calliphoridae, and the other was for the Sarcophagidae. The Calliphoridae species primer pair (CA-SNP) was designed for the front section of the COI gene. The other primer pair for the Sarcophagidae species (SA-SNP) was targeted to the end of the COI gene sequence. When the secondary structure and extent of self-complementarity were identifiable, the primer pairs were confirmed using Primer3 (http://bioinfo.ut.ee/primer3/). The sequences of the two primer pairs from 5′ to 3′ are shown in Table 2. Amplifications of genes from each family were performed in a total volume of 20 μL, containing Gold ST★R 10x Buffer (Promega, Madison, WI, USA), 5 units of AmpliTaq Gold® DNA polymerase (Promega), 0.8 μM of CA-SNP or SA-SNP primer set, and sterile water. Polymerase chain reaction (PCR) amplifications were conducted in a 2720 Applied Biosystems thermal cycler (Foster City, CA, USA). The conditions of the thermal cycler were as follows: initial denaturation at 95°C for 11 min, 33 cycles of denaturation at 94°C for 20 sec, annealing at 50°C for 1 min, extension at 72°C for 30 sec, and a final extension at 72°C for 7 min. The PCR products were detected by gel electrophoresis in a 2% agarose gel to ensure the expected size and fragment quality. The remaining PCR products were purified to remove excess PCR primers and dNTPs using ExoSAP-IT reagent (Affymetrix, Santa Clara, CA, USA), which effectively degrades PCR primers and dNTPs, following the manufacturer’s protocol.


FamilyNameSequenceBinding site

CalliphoridaeCA-SNP-F5′-CAGTCTATTGCCTAAACTTCAG-3′tRNA-tyrosine
CA-SNP-R5′-GTTARTGCRGGRGGTAAAAGTCA-3′∗301–323 on COI
SarcophagidaeSA-SNP-F5′-AAGTTTAGYATCHCAACGWCAAGT-3′∗1416–1439 on COI
SA-SNP-R5′-TTAAACCCATTGCACTAATCTGCC-3′∗1543–1566 on COI

primers were used to detect target SNPs based on IUPAC nucleic acid sequences.
2.4.2. SNaPshot Multiplex Reaction

SBE multiplex primers targeting interspecific SNPs were designed for each family, that is, Calliphoridae and Sarcophagidae. The set for the Calliphoridae species was composed of 6 SBE primers designed to bind contiguously to the SNPs in the forward direction, and the set for the Sarcophagidae family consisted of 4 SBE primers designed to bind neighboring SNPs in the reverse direction. In the case of Calliphoridae, a few different versions of SBE primers targeting the same sites were designed because of interspecific variation between species. The list of primers is shown in Table 3. The possibility of secondary structure and self-complementarity of the primers was checked using Primer3 (http://bioinfo.ut.ee/primer3/). The various primer sizes were obtained by adding poly T-tails of different lengths at the 5′ end of the primers, from 25 to 75 bp in Calliphoridae and 26 to 56 bp in Sarcophagidae. These methods are designed for Calliphoridae and Sarcophagidae samples of which families are morphologically identified. Therefore, if the family of a sample is unknown, these methods are not applicable. Using the SNaPshot multiplex kit (Applied Biosystems), the multiplex reactions were performed in a 10-μL solution containing 3 μL SNaPshot Multiplex Ready Reaction mix of fluorescent dideoxynucleotides (Green; A = dR6G, Black; C = dTAMRA™, Blue; G = dR110, Red; T = dROX™), 1 μL PCR template, 5 μL sterile water, and 1 μL extension primer mix. The respective primer concentrations in the multiplex reaction are shown in Table 3. The SNaPshot reactions were performed in a 2720 thermal cycler (Applied Biosystems). The conditions of the thermal cycler were as follows: repeat for 25 cycles of 96°C for 10 sec, 55°C for 5 sec, and 60°C for 30 sec. The products were held at 4°C until postextension treatment. To remove residual ddNTPs and primers, SNaPshot products were purified with Alkaline Phosphatase, Calf Intestinal (CIP) by adding 1 unit of CIP into the SNaPshot reaction. The mixture was incubated at 37°C for 60 min, and then the CIP was deactivated by incubation at 80°C for 15 min.


SBE systemLocationSBE primer sequence () Primer size (nucleotides) [Opt.] (μM)

CalliphoridaeCA90CTTGATCNGGAATARTHGGAACTTC250.80
CTTGATCCGGTATAATYGGAACTTC∗†250.01
CTTGATCAGGAATAATTGGTACTTC250.20
CA72TTTTTTACTTTATAYTTTATTTTTGGAGCTTGATC350.04
TTTTTTACTTTATATTTYATTTTCGGAGCTTGATC∗†350.06
CA168TTTTTTTTTTTTTTTTGGAGAYGAYCAAATTTATAATGTAATTGT450.10
CA261TTTTTTTTTTTTTTTTTTTTTTTTTTAATTGATTAGTTCCWTTAATACTAGGRGC550.20
TTTTTTTTTTTTTTTTTTTTTTTTTTAATTGAYTAGTTCCTTTAATGTTAGGAGC∗†550.10
TTTTTTTTTTTTTTTTTTTTTTTTTTAATTGATTAGTYCCTTTAATATTAGGAGC∗†550.13
CA252TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGGAGGRTTTGGAAATTGAYTAGTYCCWTTAAT650.14
CA243TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGGAGGRTTYGGWAATTGAYTAGT751.80

SarcophagidaeSA1491AATTCAGAATAACTATGTTCAGCTGG260.06
SA1488TTTTTTTTTTTTTGAATAACTATGTTCAGCTGGHGG360.15
SA1479TTTTTTTTTTTTTTTTTTAACTATGTTCAGCTGGHGGDGTRTTTTG460.30
SA1485TTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTCTATGTTCAGCTGGHGGDGT560.40

primers were used to detect target SNPs based on IUPAC nucleic acid sequences; additional primers for samples with low peak signal sites; [Opt.]: optimal concentration of primer.
2.4.3. Capillary Electrophoresis and Product Analysis

The purified SNaPshot products were mixed with 9.4 μL of formamide and 0.1 μL of GeneScan-120 LIZ size standard (Applied Biosystems). The products were denatured by keeping them at 95°C for 5 min and were then placed on ice or at 4°C until loading. Electrophoresis on the ABI PRISM 3500 Genetic Analyzer was set up with a 36-cm capillary array and POP-4 polymer to load SNaPshot multiplex reaction products. All results were analyzed using GeneMapper software v5.0.

3. Results

3.1. Selection of Fly Species-Specific SNPs

Complete mitochondrial COI gene sequences from 18 fly species were collected from GenBank (Table 1). Based on the sequences, 6 Calliphoridae species-specific SNPs and 4 Sarcophagidae species-specific SNPs were selected within the mitochondrial COI gene locus. With the combination of these 6 SNPs, it is possible to distinguish between 11 Calliphoridae species, and the combination of 4 SNPs can be used to distinguish 7 Sarcophagidae species (Tables 4 and 5).


Fly species (Calliphoridae)Callipho 90Callipho 72Callipho 168Callipho 261Callipho 252Callipho 243
ColorNucleotide baseColorNucleotide baseColorNucleotide baseColorNucleotide baseColorNucleotide baseColorNucleotide base

Lucilia ampullacea (Villeneuve, 1922)ACTCGT
Lucilia caesar (Linnaeus, 1758)ACTCAT
Lucilia illustris (Meigen, 1826)ACTTAT
Chrysomya megacephala (Fabricius, 1794)ACATGT
Chrysomya pinguis (Walker, 1858)ACATAT
Triceratopyga calliphoroides (Rohdendorf, 1931)AATTAC
Calliphora lata (Coquillett, 1898)AATTAT
Phormia regina (Meigen, 1826)ATAAAT
Calliphora vicina (Robineau-Desvoidy, 1830)AGTTAC
Lucilia sericata (Meigen, 1826)TCTTAT
Aldrichina grahami (Aldrich, 1930)TACCAC

Expected peak size253545556575
Observed peak size average28.7338.2148.5957.7967.6678.61
Observed peak size-range ()27.96–30.5937.52–39.3747.80–49.1756.93–58.4766.73–68.3276.68–79.21
STD ()0.550.490.400.350.360.39


Fly species (Sarcophagidae)Sarco 1491Sarco 1488Sarco 1479Sarco 1485
ColorNucleotide baseColorNucleotide baseColorNucleotide baseColorNucleotide base

Parasarcophaga albiceps (Meigen, 1826)TATA
Sarcophaga similis (Meade, 1876)TAAA
Sarcophaga haemorrhoidalis (Fallén, 1817) ∗∗TTAA
Sarcophaga peregrina (Robineau-Desvoidy, 1830)TGAA
Sarcophaga melanura (Meigen, 1826)CAAA
Sarcophaga crassipalpis (Macquart, 1839)CAAG
Sarcophaga dux (Thomson, 1869)AGAA

Expected peak size26364656
Observed peak size average30.5140.7650.1759.25
Observed peak size-range ()29.02–31.2539.69–41.5349.84–50.6957.57–60.04
STD ()0.850.630.180.82

dux: the revised name of Sarcophaga harpax in the previous study [7]; haemorrhoidalis (syn): Sarcophaga africa (Wiedemann, 1824).
3.2. Detection of SNP Markers
3.2.1. SNaPshot Template Amplification by Singleplex PCR

Genomic DNA extracted from the 11 Calliphoridae species was amplified using the CA-SNP primer set. The amplification of these DNA fragments was confirmed with a 2% agarose gel. The fragment sizes of the PCR products were approximately 353 bp. The genomic DNA of the 7 Sarcophagidae species was amplified using the SA-SNP primer set. The 151-bp amplifications were performed, and the quality was checked by gel electrophoresis in a 2% agarose gel.

3.2.2. SNaPshot Multiplex Reaction

Eleven primers (6 universal primers to target the Calliphoridae species and 5 other primers to detect low signals in some species) were used to distinguish the Calliphoridae species, and 4 primers were used to distinguish the Sarcophagidae species. Eleven Calliphoridae species could be distinguished by comparing the genotypes from 6 SNP sites. To distinguish 7 Sarcophagidae species, 4 SNP sites were sufficient. The CA-SNaPshot multiplex reaction results for the 11 Calliphoridae fly species were as expected (Supplementary Figures 1-1, 1-2, and 1-3). The SA-SNaPshot multiplex reaction results for the 7 Sarcophagidae fly species were also as expected (Supplementary Figures 2-1 and 2-2).

3.3. SNaPshot Assay Validation
3.3.1. Reproducibility Test

The reproducibility of the system was determined by preparing various sample types (larva, pupa, and fly). The 116 Calliphoridae DNA samples from 54 voucher flies, 4 pupae, and 58 larvae were identified based on the combination of 6 SNPs through the CA-SNaPshot multiplex system. The 69 Sarcophagidae DNA samples from 43 voucher flies and 26 larvae were validated based on the combination of 4 SNPs through the SA-SNaPshot multiplex system. All Calliphoridae and Sarcophagidae specimens matched perfectly when compared to the expected SNP combinations (Table 6).


FamilySpecies nameSuccess rate (%) Typed/totalComparing pairs ()Concordance (%)

CalliphoridaeLucilia ampullacea (Villeneuve, 1922)1007/77100
Lucilia caesar (Linnaeus, 1758)10011/1111100
Triceratopyga calliphoroides (Rohdendorf, 1931)10010/1010100
Lucilia illustris (Meigen, 1826)10010/1010100
Calliphora lata (Coquillett, 1898)10010/1010100
Chrysomya megacephala (Fabricius, 1794)10011/1111100
Chrysomya pinguis (Walker, 1858)10010/1010100
Phormia regina (Meigen, 1826)10010/1010100
Lucilia sericata (Meigen, 1826)10011/1111100
Calliphora vicina (Robineau-Desvoidy, 1830)10010/1010100
Aldrichina grahami (Aldrich, 1930)1005/55100

SarcophagidaeParasarcophaga albiceps (Meigen, 1826)1008/88100
Sarcophaga dux (Thomson, 1869)10010/1010100
Sarcophaga haemorrhoidalis (Fallén, 1817)1006/66100
Sarcophaga melanura (Meigen, 1826)1005/55100
Sarcophaga peregrina (Robineau-Desvoidy, 1830)10011/1111100
Sarcophaga similis (Meade, 1876)10011/1111100
Sarcophaga crassipalpis (Macquart, 1839)10011/1111100

3.3.2. Accuracy Test

When the flies identified by morphology and sequencing methods were applied to this SNaPshot multiplex assay, the results 100% matched. (Table 6). Furthermore, each sample correctly showed the expected combinations of SNP typing as predicted. Thus, 116 Calliphoridae flies and 69 Sarcophagidae flies were correctly identified with the SNaPshot multiplex assay (Table 6). The observed range and standard deviations of peak sizes for each single signal are shown in Tables 4 and 5. These results confirmed the high concordance of the CA and SA SNaPshot multiplex systems.

4. Discussion

This SNaPshot multiplex system, based on multiplex single-base primer extension reactions, is very useful in the forensic science field because of its capacity for high precision with a low starting concentration of DNA in a short time frame [25]. Compared with Sanger’s nucleotide sequencing, this system is more appropriate for effective typing in forensics. In this study, we focused on the identification of forensically important fly species using the SNaPshot multiplex system. The target interspecific SNPs were selected by comparing the consensus COI nucleotide sequences, which include all the intraspecific SNPs collected from the NCBI GenBank database.

As shown in the results, it is remarkable that the combination of 6 SNPs successfully distinguished 11 Calliphoridae species, and the combination of 4 SNPs perfectly distinguished 7 Sarcophagidae species. In addition, the system did not detect any nucleotide combinations that differed from the expected results. Concerning the fragment sizes of these SNPs, the observed peak size was larger than the actual expected peak size, although it remained within 5 nucleotide bases. The size difference between them was predicted based on dye mobility, nucleotide composition, and fragment size in the capillary electrophoresis; the smaller the fragment size is, the greater the impact of the fluorescent dye is [26].

A reproducibility test of the system was performed, which is necessary when using samples from various developmental stages (adult, larva, pupa). Moreover, the SNaPshot multiplex reaction results for 116 Calliphoridae samples and 69 Sarcophagidae samples were computed as expected nucleotide combinations. Therefore, these SNaPshot multiplex systems have perfect reproducibility. The precision of the system was also confirmed. The SNaPshot multiplex reaction results matched 100% with Sanger’s sequencing databases for all samples, and the standard deviation of peak positions was between 0.18 and 0.85 at the observed peak size. These results confirmed the high concordance of the CA and SA SNaPshot multiplex method.

The SNaPshot multiplex system is appropriate for the forensic science field; it does not require a high DNA concentration, and it saves time. In addition, it is very convenient, as it does not require a phylogenetic tree. Therefore, this method may be easily used to identify two forensically important families (Calliphoridae and Sarcophagidae) collected in Korea. This study is the first of its kind, and the findings may be used in future technology. We will attempt to increase the number of SNPs in further studies to increase the specificity and sensitivity of identification. Additionally, because this identification system only covers flies collected in Korea, coverage of foreign fly species will be required.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2013R1A1A1012223) and Projects for Research and Development of Police Science and Technology under Center for Research and Development of Police Science and Technology and Korean National Police Agency (PA-G000001).

Supplementary Materials

Supplementary Figure  1-1: multiplex system results for Calliphoridae species using Calliphoridae (CA) SNaPshot. Supplementary Figure  1-2: multiplex system results for Calliphoridae species using Calliphoridae (CA) SNaPshot. Supplementary Figure  1-3: multiplex system results for Calliphoridae species using Calliphoridae (CA) SNaPshot. Supplementary Figure  2-1: multiplex system results for Sarcophagidae species using Sarcophagidae (SA) SNaPshot. Supplementary Figure  2-2: multiplex system results for Sarcophagidae species using Sarcophagidae (SA) SNaPshot. (Supplementary Materials)

References

  1. J. A. Siegal and K. Mirakovits, Forensic Pathology, Forensic Science: The Basics, vol. Ch10, 2nd edition, 2007, Canada.
  2. J. Amendt, C. P. Campobasso, E. Gaudry, C. Reiter, H. N. LeBlanc, and M. J. R. Hall, “Best practice in forensic entomology—standards and guidelines,” International Journal of Legal Medicine, vol. 121, no. 2, pp. 90–104, 2007. View at: Publisher Site | Google Scholar
  3. M. H. Villet, C. S. Richards, and J. M. Midgley, “Contemporary precision, bias and accuracy of minimum post-mortem intervals estimated using development of carrion-feeding insects,” Current Concepts in Forensic Entomology, pp. 109–137, 2010. View at: Publisher Site | Google Scholar
  4. B. N. Pandey, Insects: A tool in forensic science, Animal Sciences and Environmental Issues, Chapter 5 edition, 2006.
  5. J. H. Byrd and J. L. Castner, Insects of Forensic Importance, Forensic Entomology: The Utility of Arthropods in Legal Investigations, CRC Press, 2nd edition, 2009. View at: Publisher Site
  6. S. E. Shin, H. J. Lee, J. H. Park et al., “The first survey of forensically important entomofauna collected from medicolegal autopsies in South Korea,” BioMed Research International, vol. 2015, Article ID 606728, 6 pages, 2015. View at: Publisher Site | Google Scholar
  7. S. H. Park and S. E. Shin, “Molecular species identification of forensically important flies in Korea,” Korean Journal of Legal Medicine, vol. 37, no. 4, pp. 177–182, 2013. View at: Publisher Site | Google Scholar
  8. J. D. Wells, T. Pape, and F. A. H. Sperling, “DNA-based identification and molecular systematics of forensically important sarcophagidae (diptera),” Journal of Forensic Sciences, vol. 46, no. 5, pp. 1098–1102, 2001. View at: Google Scholar
  9. R. Zehner, J. Amendt, S. Schütt, J. Sauer, R. Krettek, and D. Povolný, “Genetic identification of forensically important flesh flies (Diptera: Sarcophagidae),” International Journal of Legal Medicine, vol. 118, no. 4, pp. 245–247, 2004. View at: Google Scholar
  10. F. A. H. Sperling, G. S. Anderson, and D. A. Hickey, “A DNA-based approach to the identification of insect species used for postmorten interval estimation,” Journal of Forensic Sciences, vol. 39, no. 2, pp. 418–427, 1994. View at: Publisher Site | Google Scholar
  11. J. D. Wells and J. R. Stevens, “Application of DNA-based methods in forensic entomology,” Annual Review of Entomology, vol. 53, pp. 103–120, 2008. View at: Publisher Site | Google Scholar
  12. C. J. Picard, M. H. Villet, and J. D. Wells, “Amplified fragment length polymorphism confirms reciprocal monophyly in Chrysomya putoria and Chrysomya chloropyga: A correction of reported shared mtDNA haplotypes,” Medical and Veterinary Entomology, vol. 26, no. 1, pp. 116–119, 2012. View at: Publisher Site | Google Scholar
  13. H. Schroeder, H. Klotzbach, S. Elias, C. Augustin, and K. Pueschel, “Use of PCR-RFLP for differentiation of calliphorid larvae (Diptera, Calliphoridae) on human corpses,” Forensic Science International, vol. 132, no. 1, pp. 76–81, 2003. View at: Publisher Site | Google Scholar
  14. J. F. Wallman, R. Leys, and K. Hogendoorn, “Molecular systematics of Australian carrion-breeding blowflies (Diptera:Calliphoridae) based on mitochondrial DNA,” Invertebrate Systematics, vol. 19, no. 1, pp. 1–15, 2005. View at: Publisher Site | Google Scholar
  15. Z. T. Nagy, T. Backelijau, M. De Meyer, and K. Jordaens, Eds., DNA Barcoding: A Practical Tool for Fundamental and Applied Biodiversity Research, Zoo Keys, vol. 356, 2013, 307–328.
  16. P. Boehme, J. Amendt, and R. Zehner, “The use of COI barcodes for molecular identification of forensically important fly species in Germany,” Parasitology Research, vol. 110, no. 6, pp. 2325–2332, 2012. View at: Publisher Site | Google Scholar
  17. P. D. N. Hebert, A. Cywinska, S. L. Ball, and J. R. DeWaard, “Biological identifications through DNA barcodes,” Proceedings of the Royal Society B Biological Science, vol. 270, no. 1512, pp. 313–321, 2003. View at: Publisher Site | Google Scholar
  18. M. L. Harvey, I. R. Dadour, and S. Gaudieri, “Mitochondrial DNA cytochrome oxidase I gene: Potential for distinction between immature stages of some forensically important fly species (Diptera) in western Australia,” Forensic Science International, vol. 131, no. 2-3, pp. 134–139, 2003. View at: Publisher Site | Google Scholar
  19. J. Di Cristofaro, M. Silvy, J. Chiaroni, and P. Bailly, “Single PCR multiplex SNaPshot reaction for detection of eleven blood group nucleotide polymorphisms: Optimization, validation, and one year of routine clinical use,” Journal of Molecular Diagnostics, vol. 12, no. 4, pp. 453–460, 2010. View at: Publisher Site | Google Scholar
  20. S. Cho, H. J. Yu, J. Han, Y. Kim, J. Lee, and S. D. Lee, “Forensic application of SNP-based resequencing array for individual identification,” Forensic Science International: Genetics, vol. 13, pp. 45–52, 2014. View at: Publisher Site | Google Scholar
  21. R. Munson, “Genetic control, intervention and reflection: Basic issues in bioethics,” Concise Edition, vol. Ch3, pp. 120–188, 2012. View at: Google Scholar
  22. A. Vignal, D. Milan, M. SanCristobal, and A. Eggen, “A review on SNP and other types of molecular markers and their use in animal genetics,” Genetics Selection Evolution, vol. 34, no. 3, pp. 275–305, 2002. View at: Publisher Site | Google Scholar
  23. X. Chen and P. F. Sullivan, “Single nucleotide polymorphism genotyping: Biochemistry, protocol, cost and throughput,” The Pharmacogenomics Journal, vol. 3, no. 2, pp. 77–96, 2003. View at: Publisher Site | Google Scholar
  24. S. Y. Kim, S. H. Park, H. Piao, U. Chung, K. S. Ko, and J. Hwang, “Vouchering of forensically important fly specimens by nondestructive DNA extraction,” BioMed Research International, vol. 2013, 5 pages, 2013. View at: Publisher Site | Google Scholar
  25. E. H. Kim, K. Shin, H. Y. Kim, S. J. Park, W. I. Yang, and H. Y. Lee, “Rapid and simple screening of mitochondrial DNA in koreans by the analysis of highly variable control region SNPs,” Korean Journal of Legal Medicine, vol. 37, no. 4, pp. 183–190, 2013. View at: Publisher Site | Google Scholar
  26. D. Huang, C. Gui, S. Yi, Q. Yang, R. Yang, and K. Mei, “Typing of 24 mtDNA SNPs in a chinese population using SNaPshot minisequencing,” Journal of Huazhong University of Science and Technology (Medical Sciences), vol. 30, no. 3, pp. 291–298, 2010. View at: Publisher Site | Google Scholar

Copyright © 2018 Ji Hye Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


More related articles

1181 Views | 492 Downloads | 1 Citation
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.