Skip to main content
  • Article
  • Published:

Development of a PCR-based assay to differentiate Cervus elaphus sibiricus from Cervus antlers

Abstract

Deer antlers (Cervi Parvum Cornu) are reported to possess various pharmacological properties, including anti-infective, anti-arthritic, anti-allergic, and anti-endometriotic properties, and are credited with reversing memory impairment. To determine the global distribution of Cervus subspecies by analyzing antlers, 166 samples of Cervus subspecies antlers were collected from Russia, Canada, China, New Zealand, and Korea. The respective deer subspecies were identified by amplifying the D-loop region of mitochondrial DNA isolated from the antler samples. On the basis of the mitochondrial DNA sequence, a C. elaphus sibiricus-specific primer was developed that differentiates C. e. sibiricus from four C. e. subspecies (C. e. manitobensis, C. e. nelsoni, C. e. canadensis, and C. e. bactrianus), C. elaphus, and C. nippon. This was confirmed using agarose gel electrophoresis. This primer set produced a specific 396-bp fragment that amplified only C. e. sibiricus in antler samples. A 468-bp fragment derived from the cytochrome b gene was used as the internal control to verify the success of amplification in all samples. This method may assist in rapid and effective differentiation between products from Cervus species and other deer products.

Introduction

Cervi Parvum Cornu is a well-known crude drug derived from horizontal slices of the velvet-covered antlers of male Cervus ssp. deer (Kim et al. 2012c). Various results, including memory improvement (Lee et al. 2010) and anti-infective (Dai et al. 2011), anti-arthritic (Kim et al. 2004), anti-allergic (Kuo et al. 2012), and anti-endometriotic (Kim et al. 2012b) effects, have been reported after use of this product. It has been widely used as an ingredient in functional foods.

To date, two types of Cervi Parvum Cornu, derived from C. nippon (sika deer) and C. elaphus (red deer), have been described in the Korean Herbal Pharmacopoeia (Han et al. 1994). The efficacy and price of antlers vary according to the grade and source of the antler slices (Kim et al. 2012c). The grade and origin of antler slices also affect the price of functional foods containing them. In Korea, antlers are mainly imported from Russia, New Zealand, and China. In Korean markets, Russian antlers are considered to be of particularly good quality and command the highest prices. Merchants may lie about the origin of antlers to charge higher prices. Therefore, consumers should be cautious about buying deer antlers or related products. It is difficult to distinguish morphological differences in origin or subspecies of antlers. For this reason, it is necessary to develop a method that can distinguish Russian antlers from other Cervus antlers.

The quality control of deer products depends primarily on macroscopic identification, microscopic examination, and physical and chemical analyses. However, deer products cannot always be evaluated using these methods because of the different technical processes used to prepare the products (Zha et al. 2011). The use of PCR techniques to identify deer products has been extensively investigated. The PCR approach tends to be more specific, sensitive, and applicable even to heat-processed products (Bottero et al. 2003; Dalmasso et al. 2004). The D-loop region of mitochondrial DNA (mtDNA) has been used to classify deer subspecies (Polziehn et al. 1998; Polziehn and Strobeck 1998, 2002). In our previous studies, we used sequences from the D-loop region to differentiate between deer species and Cervus antlers (Kim et al. 2012a, c).

The goal of the present study was to develop a PCR method to differentiate the most expensive Russian antlers from other antlers in the Korean herbal market. First, we performed subspecies identification of 166 Cervus antler samples collected from China, New Zealand, Canada, Korea, and Russia by amplifying the D-loop region of the mtDNA. All Russian antlers were confirmed to be Cervus elaphus sibiricus. Finally, we developed a PCR-based assay to differentiate between C. e. sibiricus antlers and other Cervus antlers.

Materials and methods

Sample collection

We collected 166 Cervus antler samples from various processing plants in China, New Zealand, Canada, Korea, and Russia (Table 1). Voucher samples for the antlers were deposited with the Korea Institute of Oriental Medicine.

Table 1 Details of the 166 Cervus antler samples used in this study

DNA extraction, amplification, and sequencing

DNA was extracted from the antler slices using the DNeasy Blood & Tissue Kit (Qiagen, Germany) according to the manufacturer’s protocol. Purity of the DNA was confirmed using an ND-1000 spectrophotometer (NanoDrop Tech., USA). Primers CST2 and CST39 (Table 2) were used to amplify the D-loop region of mtDNA from the extracted DNA (Polziehn et al. 1998). The PCR conditions and cloning method were described in a previous study (Kim et al. 2012c). DNA was sequenced using an ABI 3730 DNA Analyzer (Applied Biosystems, USA). The sequences were aligned using DNASIS MAX version 2.05 (MiraiBio, USA) and BioEdit Sequence Alignment Editor version 7.0.9.0 (Ibis Biosciences, USA).

Table 2 Primer sequences used in this study

Primer design

After sequence alignment of the D-loop region, we designed a 25-mer SF4 primer (forward primer) and 17-mer SR10 primer (reverse primer) to differentiate between C. e. sibiricus and other Cervus species antlers. Primer locations and sequences are shown in Fig. 1 and Table 2, respectively.

Fig. 1
figure 1

Partial sequences of the mitochondrial DNA (mtDNA) control region used to distinguish C. e. sibiricus from other Cervus subspecies in antler samples. Dots represent identical bases to the first sequence. Primer sets are marked by blue square boxes; the sequences are presented in Table 2

C. e. sibiricus-specific PCR by agarose gel electrophoresis

Primer sets SF4/SR10 and L14724-tm58/H15149-tm58 (Table 2) were used to amplify gene sequences in the mitochondrial D-loop and cytochrome b regions, respectively. PCR amplifications were performed in a 20-μL volume containing 5 U/μL GoTaq® Hot Start polymerase 0.2 μL (Promega, USA), 4 μL of 5× Green GoTaq® Flexi buffer (Promega, USA), 1 μL of dNTP mixture (Takara Bio Inc., Japan), 1.6 μL of 25 mM MgCl2 solution, 1 μL of 20 ng/μL template DNA, 2.4 μL of 10 pmol primer (SF4/SR10), and 0.7 μL of primer set L14724-tm58/H15149-tm58 (Table 2). The PCR conditions were: initial denaturation at 95 °C for 4 min; 21 cycles of denaturation at 95 °C for 30 s, annealing at 56 °C for 30 s, and extension at 72 °C for 30 s; and a final extension at 72 °C for 6 min. PCR was conducted using a C1000™ Thermal Cycler (Bio-Rad, USA). Amplified products were separated in a 2 % (w/v) agarose gel with 1 μL LoadingSTAR (Dynebio, Korea) in 0.5× TBE buffer (45 mM Tris–borate and 1 mM EDTA; pH 8.0) and were analyzed using a U:Genius (Syngene, UK).

Results

Identification of Cervus antlers using mitochondrial D-loop sequence

To confirm that the 166 antlers belonged to Cervus subspecies, we compared the homology of D-loop sequences of the amplified fragments with known nucleotide sequences in the NCBI GenBank database (http://www.ncbi.nlm.nih.gov/genbank/).

Most samples showed 98–99 % identity with the GenBank sequences, except for the 19 samples from Jilin Province, China, which showed 95–96 % identity with C. nippon (accession number AF016974). These samples had similar nucleotide sequences and were divided into two groups; the two identified sequences were deposited in GenBank as C. nippon NIP1 (KF141944) and NIP2 (KF141945).

The 20 samples collected from Xinjiang and other areas in China showed 99 % identity with C. e. bactrianus (AF296822). Two new sequences of C. e. bactrianus were found and deposited as C. e. bactrianus BAT1 (KF141938) and BAT2 (KF141939). Both sequences showed three base insertions and two base variations compared with AF296822. C. e. bactrianus BAT2 (KF141939) showed one additional sequence variation. One Xinjiang sample was similar to C. elaphus (AF016973) (99 % identity).

Almost all of the samples collected in New Zealand were identified as C. elaphus. Twenty-five samples showed 98–99 % identity with C. elaphus (AF016973 = 23 samples, Y08207 = 2 samples). Four new C. elaphus sequences were found and were deposited in GenBank as C. elaphus ELA1–ELA4 (KF153093–96). All newly deposited sequences showed one base insertion, one base deletion, and three base variations compared with AF016973. One sample had 99 % identity with C. e. nelsoni (AF016965) and was identified as C. e. nelsoni.

The Canadian samples represented three deer subspecies, including 24 Canadian samples that showed 99 % identity with C. e. nelsoni (AF016962 = 15 samples, AF016965 = 9 samples). We found two new sequences of C. e. nelsoni, deposited in GenBank as C. e. nelsoni NEL1 (KF153097) and NEL2 (KF153098). Each new sequence showed one base deletion and variation compared with AF016962. In addition, 13 Canadian samples were identified as C. e. manitobensis (AF016955 = 3 samples; AF016957 = 9 samples; AF005199 = 1 sample). Two new sequences of C. e. manitobensis were found and deposited in GenBank as C. e. manitobensis MAN1 and MAN2 (KF153091 and KF153092). Both sequences showed one base deletion and one base variation compared with AF016957. C. e. manitobensis MAN2 (KF153092) showed two additional sequence variations. The final three samples collected in Canada showed 99 % identity with C. e. canadensis (AY970666). Two of these showed three base variations compared with AY970666, and that sequence was deposited as a new C. e. canadensis sequence (KF141943).

The Korean samples also represented three subspecies of deer, including 10 samples that showed 99 % identity with C. elaphus (AF016973), 11 samples showed 99–100 % identity with C. e. canadensis (AY970666), and 10 samples that showed 99 % identity with C. e. nelsoni (AF016962, AF016965, and AF016966). We found two new sequences of C. e. nelsoni in the Korean samples and deposited these in GenBank as C. e. nelsoni NEL3 (KF153099) and NEL4 (KF153100). These new sequences had one more base deletion than C. e. nelsoni NEL1 (KF153097) and NEL2 (KF153098).

Finally, 29 Russian samples showed 99 % identity with C. e. sibiricus (AF058371). Two new sequences of C. e. sibiricus were deposited in GenBank as C. e. sibiricus SIB1 and SIB2 (KF141940 and KF141941). Both sequences showed one base deletion compared with AF058371. C. e. sibiricus SIB2 showed one additional base deletion and seven base variations. All the results of the identification of 166 Cervus subspecies antler samples are summarized in Table 3. The details of BLAST searches for all 166 Cervus antlers are provided in Supplementary Table 1.

Table 3 Identification of 166 Cervus antler samples by using mitochondrial D-loop sequence

Differentiation of C. e. sibiricus using electrophoresis-based PCR assay

We observed a difference in the D-loop sequences, which we used to design a primer set (SF4 and SR10). This primer set produced a specific 396-bp fragment that amplified only C. e. sibiricus by agarose gel electrophoresis, allowing it to be distinguished from other Russian antler samples (Lanes 1 and 2 in Fig. 2). A 468-bp fragment derived from the cytochrome b gene was used as the internal control to verify the success of amplification in all samples (Fig. 2). These primers were reconfirmed in all 166 samples, including 29 Russian samples (Supplementary Fig. l). Thus, the DNA sequencing analysis verified that all antler samples collected from Russia belonged to C. e. sibiricus.

Fig. 2
figure 2

PCR products generated with C. e. sibiricus-specific primers. M = 100 bp on a DNA size standard ladder

Discussion

The consumption of antlers in Korea has been increasing steadily each year, concomitant with economic growth, and imports of antlers have also increased. Cervus antlers are primarily imported to Korea from Russia, New Zealand, and China. In Korean markets, the most expensive deer antlers are imported from Russia. However, Rangifer antlers, derived from reindeer (Rangifer tarandus), and Cervus antlers produced in North America are sold illegally in herbal markets as Russian Cervus antlers (Yoo et al. 2010). Both males and females of the genus Rangifer have antlers, whereas only males of the genus Cervus have antlers (Shah et al. 2008). Rangifer antlers are not considered viable drug material because their ash content does not meet the specified minimum value (Korea Food & Drug Administration 2014; Shim et al. 2011). Since 2001, the import of North American deer antlers infected with chronic wasting disease has been banned in Korea.

In the Korean Herbal Pharmacopoeia and Chinese Pharmacopoeia, the definition of the chemical standards of Cervi Parvum Cornu is not complete. Only the appearance, identification, loss of material during drying, and ash content are specified (Chinese Pharmacopoeia Commission 2010; Korea Food & Drug Administration 2014). It remains difficult to identify subspecies using morphological characteristics and sensory evaluation tests. Morphological distinction is particularly difficult when antlers are sold as cuttings. Several studies have attempted to establish standards to evaluate the quality of Cervi Parvum Cornu, and the amounts of free amino acids, ganglioside, and glycosaminoglycan were proposed as the standard (Hong et al. 1991, 1993; Sunwoo and Sim 2001). Despite such efforts, the criteria to evaluate the quality of antlers remain insufficient, and studies of the pharmacological properties of antlers from different subspecies and regions have not been completed.

Therefore, it is necessary to develop a method that precisely differentiates the region of production and the subspecies of deer antlers. The most effective means of determining the subspecies is analysis of the nucleotide sequences of specific gene regions. However, this procedure is costly and it is challenging to obtain results quickly using this method. If a large number of samples must be analyzed, PCR-based methods are more practical and cost-effective.

In recent years, molecular methods, such as PCR-based assays, have been widely used to differentiate between animal species or subspecies. Oh et al. (2000) conducted assays of Korean beef cattle and Holsteins based on SNP allele differentiation of genes related to coat color. Kim et al. (2012c) and Shim et al. (2011) reported a PCR-based assay for differentiating Rangifer and Cervus antlers. Until recently, little research had been conducted on Russian deer. Baranova et al. (2012) investigated the genetic diversity of R. tarandus inhabiting the European part of Russia. ZvychaĬnaia et al. (2011) conducted polymorphism analysis of mtDNA of the Siberian roe deer (Capreolus pygargus) from 23 regions of Russia and Kazakhstan.

To the best of our knowledge, the present study is the first to focus on identifying the subspecies of deer antlers produced in Russia. We developed a rapid and simple method using specific primers to distinguish C. e. sibiricus from other Cervus subspecies by analyzing antler samples, exploiting differences in the nucleotide sequences of the mtDNA. Agarose gel electrophoresis was used to confirm the C. e. sibiricus-specific primers. Our technique provides more accurate and simple subspecies identification. It may be helpful for quality control and detection of Cervi Parvum Cornu and other products derived from deer.

References

  • Baranova AI, Kholodova MV, Davydov AV, Rozhkov I (2012) Polymorphism of the mtDNA control region in wild reindeer Rangifer tarandus (Mammalia: Artiodactyla) from the European part of Russia. Genetika 48:1098–1104

    CAS  Google Scholar 

  • Bottero MT, Dalmasso IA, Nucera D, Turi RM, Rosati S, Squadrone S, Goria M, Civera T (2003) Development of a PCR assay for the detection of animal tissues in ruminant feeds. J Food Prot 66:2307–2312

    CAS  Google Scholar 

  • Chinese Pharmacopoeia Commission (2010) Pharmacopoeia of the People’s Republic of China. China Medical Science and Technology Press, China

    Google Scholar 

  • Dai TY, Wang CH, Chen KN, Huang IN, Hong WS, Wang SY, Chen YP, Kuo SY, Chen MJ (2011) The antiinfective effects of velvet antler of Formosan sambar deer (Cervus unicolor swinhoei) on Staphylococcus aureus-infected mice. Evid Based Complement Altern Med. doi:10.1155/2011/534069

    Google Scholar 

  • Dalmasso A, Fontanella E, Piatti P, Civera T, Rosati S, Bottero MT (2004) A multiplex PCR assay for the identification of animal species in feedstuffs. Mol Cell Probes 18:81–87

    Article  CAS  Google Scholar 

  • Han DS, Kim YC, Kim JW, Hur H (1994) In Cervi Parvum Cornu-paper collection for production, constituents, pharmacology and clinical application. Hallymwon, Korea

    Google Scholar 

  • Hong ND, Won DH, Kim NJ, Chang SY, Youn WG, Kim HS (1991) Studies on the analysis of constituents of deer horn (I). Assay of trace elements and TLC pattern analysis of gangliosides. Korean J Pharmacogn 22:171–182

    CAS  Google Scholar 

  • Hong ND, Won DH, Kim NJ, Chang SY, Youn WG, Kim HS (1993) Studies on the analysis of constituents of deer horn (II). Analysis of gangliosides and free amino acids. Korean J Pharmacogn 24:38–46

    CAS  Google Scholar 

  • Kim KS, Choi YH, Kim KH, Lee YC, Kim CH, Moon SH, Kang SG, Park YG (2004) Protective and anti-arthritic effects of deer antler aqua-acupuncture (DAA), inhibiting dihydroorotate dehydrogenase, on phosphate ions-mediated chondrocyte apoptosis and rat collagen-induced arthritis. Int Immunopharmacol 4:963–973

    Article  CAS  Google Scholar 

  • Kim ES, Kim YH, Ko BS, Oh SE, Do EJ, Lee MY (2012a) Multiplex polymerase chain reaction (PCR) and fluorescence-based capillary electrophoresis for identification of deer species from antlers. Afr J Biotechnol 11:3079–3086

    Google Scholar 

  • Kim JH, Yang YI, Ahn JH, Lee JG, Lee KT, Choi JH (2012b) Deer (Cervus elaphus) antler extract suppresses adhesion and migration of endometriotic cells and regulates MMP-2 and MMP-9 expression. J Ethnopharmacol 140:391–397

    Article  CAS  Google Scholar 

  • Kim YH, Kim ES, Ko BS, Oh SE, Ryuk JA, Chae SW, Lee HW, Choi GY, Seo DW, Lee MY (2012c) A PCR-based assay for discriminating Cervus and Rangifer (Cervidae) antlers with mitochondrial DNA polymorphisms. J Anim Sci 90:2075–2083

    Article  CAS  Google Scholar 

  • Korea Food & Drug Administration (2014) The Korean Herbal Pharmacopoeia. Korea Food & Drug Administration, Korea

    Google Scholar 

  • Kuo CY, Wang T, Dai TY, Wang CH, Chen KN, Chen YP, Chen MJ (2012) Effect of the velvet antler of Formosan sambar deer (Cervus unicolor swinhoei) on the prevention of an allergic airway response in mice. Evid Based Complement Altern Med. doi:10.1155/2012/481318

    Google Scholar 

  • Lee MR, Yun BS, Zhang DL, Liu L, Wang Z, Wang CL, Gu LJ, Wang CY, Mo EK, Ly SY, Sung C (2010) Effect of aqueous antler extract on scopolamine-induced memory impairment in mice and antioxidant activities. Food Sci Biotechnol 19:655–661

    Article  Google Scholar 

  • Oh SJ, Kim TH, Yoon DH, Park EW, Lee HY, Cheong IC, Thak YT, Kim KN, Han JY (2000) A study on genotype frequencies of the bovine melanocortin receptor 1 (MCa1R) in cattle breeds. J Anim Sci Technol (Korean) 42:735–744

    Google Scholar 

  • Polziehn RO, Strobeck C (1998) Phylogeny of wapiti, red deer, sika deer, and other North American cervids as determined from mitochondrial DNA. Mol Phylogenet Evol 10:249–258

    Article  CAS  Google Scholar 

  • Polziehn RO, Strobeck C (2002) A phylogenetic comparison of red deer and wapiti using mitochondrial DNA. Mol Phylogenet Evol 22:342–356

    Article  CAS  Google Scholar 

  • Polziehn RO, Hamr J, Mallory FF, Strobeck C (1998) Phylogenetic status of North American wapiti (Cervus elaphus) subspecies. Can J Zool 76:998–1010

    Article  CAS  Google Scholar 

  • Shah SR, DesJardins JD, Blob RW (2008) Antler stiffness in caribou (Rangifer tarandus): testing variation in bone material properties between males and females. Zoology 111:476–482

    Article  Google Scholar 

  • Shim YH, Seong RS, Kim DS, Kang SJ, Chang SY, Kim HJ (2011) Utilization of real-time PCR to detect Rangifer Cornu contamination in Cervi Parvum Cornu. Arch Pharm Res 34:237–244

    Article  CAS  Google Scholar 

  • Sunwoo HH, Sim JS (2001) Morphological, chemical, and molecular characteristics of active components in velvet antlers for biomedicine and nutraceuticals. In: Sim JS, Sunwoo HH, Hudson RJ, Jeon BT (eds) Antler science and product technology. ASPT Center, University of Alberta, Canada, pp 111–134

    Google Scholar 

  • Yoo HS, Lee GN, Lee JS (2010) Molecular identification of deer antlers using nucleotide sequences of mitochondrial displacement loop region. J Life Sci 20:1859–1866

    Article  Google Scholar 

  • Zha DM, Xing XM, Yang FH (2011) Rapid identification of deer products by multiplex PCR assay. Food Chem 129:1904–1908

    Article  CAS  Google Scholar 

  • ZvychaĬnaia E, Danilkin AA, Kholodova MV, Sipko TP, Berber AP (2011) Analysis of the variability of the control region and cytochrome b gene of mtDNA of Capreolus pygargus Pall. Izv Akad Nauk Ser Biol 5:511–517

    Google Scholar 

Download references

Acknowledgments

This research was supported by a Grant (07092KFDA309) from the Korea Food and Drug Administration and a Grant (K14101) from the Korea Institute of Oriental Medicine.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mi Young Lee.

Electronic supplementary material

Below is the link to the electronic supplementary material.

13765_2015_5_MOESM1_ESM.jpg

Supplementary Fig. 1. PCR products generated with C. e. sibiricus-specific primers in 29 C. e. sibiricus samples. Lanes 1 to 29, 29 Russian samples listed in Supplementary Table 1. M = 100 bp DNA size standard ladder. NC = negative control (distilled water) (JPG 88 kb)

Supplementary Table 1 (DOCX 28 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, Y.H., Lee, J.W., Chae, S. et al. Development of a PCR-based assay to differentiate Cervus elaphus sibiricus from Cervus antlers. J Korean Soc Appl Biol Chem 58, 61–66 (2015). https://doi.org/10.1007/s13765-015-0005-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13765-015-0005-2

Keywords