Literature DB >> 27275406

Multilevel D-loop PCR identification of hunting game.

V Parkanyi1, L Ondruska1, D Vasicek1, J Slamecka1.   

Abstract

The control region of mtDNA (D-loop) was used for hair samples of the five hunting game species identification: red deer (Cervus elaphus), roe deer (Capreolus capreolus), fallow deer (Dama dama), mouflon (Ovis aries musimon), and wild boar (Sus scrofa). For D-loop multilevel PCR detection scheme was applied in six primers (CE CVZV 1 = 5'-GATCACGAGCTTGATCACCA-3'; CE CVZV 2 = 5'-AGGAGTGGGCGATTTTAGGT-3'; DD CVZV 3 = 5'-CGCGTGAAACCAACAACCCGC-3'; DD CVZV 4 = 5'-CCGGGTCGGGGCCTTAGACG-3'; SSW CVZV 5 = 5'-ACACGTGCGTACACGCGCATA-3'; SSW CVZV 6 = 5'-GGTGCCTGCT T TCGTAGCACG-3') designed to identify unknown biological samples of the hunting game animals. The PCR reaction volume was 25 μl at conditions 95 °C for 2 min, 94 °C for 30 s, 60 °C for 30 s, 72 °C for 30 s, 35 cycles, with last extension at 72 °C for 10 min. D-loop mtDNA amplicons of the game animals are characterized with specific PCR product sizes depending on species: red deer = 163 bp and 140 bp, fallow deer = 280 bp and 138 bp, roe deer = 303 bp, 280 bp, 160 bp and 138 bp, mouflon = 299 bp and 178 bp, wild boar = 137 bp and 229 bp.

Entities:  

Keywords:  D-loop; DNA barcoding; Fallow deer; Hair samples; Mitochondrial DNA typing; Mouflon; Multilevel PCR; Red deer; Roe deer; Wild boar

Year:  2013        PMID: 27275406      PMCID: PMC4881763          DOI: 10.1016/j.atg.2013.03.001

Source DB:  PubMed          Journal:  Appl Transl Genom        ISSN: 2212-0661


Introduction

One area of conservation genetics that has long been recognized but is now receiving increasing attention is the development of analytical techniques capable of providing DNA evidence to assist in conservation law enforcement, commonly termed wildlife DNA forensics. Wildlife DNA forensics is essentially concerned with the identification of evidence items in order to determine the species, population, relationship or individual identity of a sample. Unjustified killing of wild game and protected animal species, generally called poaching, is considered the most important crimes in environmental crime (Frankham et al., 2002). Mitochondrial DNA (mtDNA) is often favoured as a genetic marker over nDNA for species identification of wildlife because mtDNA is easier to type from highly processed and degraded tissue (Randi, 2000). Universal mtDNA markers have been successfully applied in the identification of wildlife for forensic cases. The most commonly used universal markers for species identification are the mitochondrial cytochrome b (Cyt b) and cytochrome oxidase I (COI) genes (Alacs et al., 2010, Linacre et al., 2011). Besides these genes are used D-loops (control regions) of mtDNA, too. The use of non-human DNA typing in forensic science investigations, and specifically that from animal DNA, is ever increasing. The term animal DNA refers to animal species encountered in a forensic science examination but does not include human DNA. Non-human DNA may either be: the trade and possession of a species, or products derived from a species, which is contrary to legislation; as evidence where the crime is against a person or property; instances of animal cruelty; or where the animal is the offender (Linacre et al., 2011). DNA species characteristic and an international effort are underway to use this gene catalogue all vertebrate biodiversity on the earth (www.barcodinglife.org). Determining the species origin of meat is an integral part of food regulatory control with respect to economic fraudulence, too. For example, game meat products are often a target for fraudulent labelling, because of the different prices between game and other meat species (Brodmann et al., 2001, Wolf et al., 1999). In contrast, considerably fewer studies have been reported so far about game meat authentication employing PCR-based approaches. Among them, the use of the mitochondrial genome as marker for the development of techniques such as PCR-RFLP is a widely extended choice (Brodmann et al., 2001, Fajardo et al., 2006, Pfeiffer et al., 2004, Wolf et al., 1999). Polymerase chain reaction (PCR) based on oligonucleotide primers targeting the mitochondrial 12S rRNA gene was applied to the specific identification of meats from red deer (Cervus elaphus), fallow deer (Dama dama), and roe deer (Capreolus capreolus). The use of a common reverse primer, together with forward specific primers for red deer, fallow deer, and roe deer, allowed the selective amplification of the desired cervid sequences (Fajardo et al., 2007a). Tobe and Linacre (2008) identified 18 common European mammalian species (badger, cat, cow, dog, donkey, fox, goat, guinea pig, harvest mouse, hedgehog, horse, housemouse, human, pig, rabbit, rat, red deer and sheep) by species-specific multiplex, many of which are often associated with forensic investigations, has been developed. The assay is based on the mitochondrial cytochrome b gene, which is commonly used in species identification and phylogeny studies. At present study the control region of mtDNA (D-loop) was used for identification of hair samples of the five hunting game species.

Methods

The 50 samples were collected from hunting game species hairs (10 from red deerC. elaphus = CE, 10 from roe deer—C. capreolus = CC, 10 from fallow deerD. dama = DD, 10 from mouflonOvis aries musimon = OM, and 10 from wild boarSus scrofa = SSW). The hair samples were dropped in a 1.5 ml microcentrifuge tube. Samples were processed immediately to prevent bacterial growth and preserve the quality of genomic DNA and viral DNA. Two hundred microliters of 1 × PCR buffer (50 mM KCl, 20 mM Tris–HCl pH 8.4), supplemented with 50 mM DTT, 1% Triton X-100 and 400 ng/μl proteinase K was added to the tubes containing several hair samples from each game species, separately. The hair samples were incubated overnight at 56 °C, 5 min at 96 °C after incubation and then cooled to room temperature. Samples were centrifuged for 1 min at 16,060 × g. Total DNA was isolated from lysate by standard protocol Isolation kit II on MagNa Pure LC 2.0 Instrument (Roche). Total DNA concentrations were measured by UV/VIS spectrophotometer NanoPhotometer (Implen) from 1.0 ng/μl to 5.5 ng/μl range. PCR reactions were performed using primers amplifying species-specific D-loop mtDNA fragments of the game animals (Table 1).
Table 1

Primers used for the hunting game D-loop mtDNA (red deer = CE, roe deer = CC, fallow deer = DD, mouflon = OM, wild boar = SSW) determination.

Primer namePrimer sequence from 5′ to 3′GenBank Acc. No.nt position at D-loopPCR product = species amplicon
CE CVZV 1GATCACGAGCTTGATCACCANC_00770415776–15938163 bp = CE
CE CVZV 2AGGAGTGGGCGATTTTAGGTNC_00770415799–15938140 bp = CE
DD CVZV 3CGCGTGAAACCAACAACCCGCJN63262915793–16072280 bp = DD
DD CVZV 4CCGGGTCGGGGCCTTAGACGJN63262915793–15930138 bp = DD
JN63261015777–16079303 bp = CC
JN63261015800–16079280 bp = CC
JN63261015777–15937160 bp = CC
JN63261015800–15937138 bp = CC
HM23618516051–16349299 bp = OM
HM23618516074–16351278 bp = OM
FJ23699815767–15903137 bp = SSW
SSW CVZV 5ACACGTGCGTACACGCGCATA
SSW CVZV 6GGTGCCTGCT T TCGTAGCACGFJ23699816593–16822229 bp = SSW
The PCR conditions (PTC-200 DNA Engine; MJ Research) were 95 °C for 2 min, 94 °C for 30 s, 60 °C for 30 s, 72 °C for 30 s, 35 cycles, with last extension at 72 °C for 10 min. The reaction volume (25 μl) contained 10 mM Tris–HCl (pH 8.6 at 25 °C, 50 mM KCl, 1.5 mM MgCl2, 25 units/ml Taq DNA polymerase, 0.2 mM dNTPs each, 5% glycerol, 0.08% IGEPAL® CA-630, 0.05% Tween-20) (New England Biolabs), 10 pmol/μl each primers (CE CVZV 1, CE CVZV 2, DD CVZV 3, DD CVZV 4, SSW CVZV 5, SSW CVZV 6) and 1.0 ng/μl to 5.5 ng/μl each mtDNA sample. The amplified DNA was electrophoretically separated on 2% agarose gels containing ethidium bromide at 80 mA in 10 mM lithium borate buffer, pH 8.0 for 90 min. The products were visualized under UV light and photographed using a MiniBis Pro (Bio-Imaging Systems) (Fig. 1) with in situ analysis by GelQuant Express software (Fig. 2).
Fig. 1

Electrophoretogram of PCR fragments (in bp) from hunting game animal hair samples, 2% agarose gels containing ethidium bromide.

Fig. 2

Analysis in situ (2% Agarose gel electrophoresis) by GelQuant Express.

Results and Discussion

Complete D-loop mtDNA of the hunting game animals by species-specific multilevel PCR has not yet been provided. It was at the multiplexes hoofed, so only a maximum of three species within one PCR reaction-red deer, fallow deer and roe deer, or chamois, Pyrenean ibex and mouflon, respectively (Fajardo et al., 2007a, Fajardo et al., 2007b). Tobe and Linacre (2008) identified 18 common European mammalian species by species-specific multiplex, but with one hunting game animal-red deer, only. The D-loop multilevel PCR detection scheme using six primers (CE CVZV 1, CE CVZV 2, DD CVZV 3, DD CVZV 4, SSW CVZV 5, SSW CVZV 6) was designed to identify unknown biological samples of the game animals, first time. The primers sequences for the game animal detection (red deer, roe deer, fallow deer, mouflon, wild boar) were registered by authors Parkanyi V., Ondruska L., Vasicek D., Slamecka J. in BOLDSYSTEMS under items: DATABASES-PRIMER DATABASE-PRIMER SEARCH-D-LOOP or PRIMER NAME: http://www.barcodinglife.org/index.php/Public_Primer_PrimerSearch+ CVZV. The D-loop mtDNA PCR products of the game and their specific position were detected by CLC Sequence Viewer 6.7.1 and BLAST (Table 1). D-loop mtDNA amplicons of the game animals are characterized by specific molecular sizes depending on species and our technology is suitable for detection of unknown biological samples from wildlife. Two PCR fragments are typical for red deer: 163 bp and 140 bp. Fallow deer is identified by PCR products: 280 bp and 138 bp. Roe deer is specific with four PCR fragments: 303 bp, 280 bp, 160 bp and 138 bp. Mouflon has two PCR products: 299 bp and 278 bp. Wild boar is characterized with two amplicons of D-loop mtDNA: 229 bp and 137 bp (Fig. 2).

Conclusions

The oligonucleotides sequences (CE CVZV1, CE CVZV2, DD CVZV3, DD CVZV4, SSW CVZV5, SSW CVZV6) for multilevel PCR D-loop mtDNA identification of the hunting game species (red deer, roe deer, fallow deer, mouflon, wild boar) were registered in www.boldsystems.org and they are suitable for detection of unknown biological samples from wildlife.

Conflict of Interest Statement

None.
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