ARTICLE

A Novel Multiplex-PCR Assay to Detect Three Non-Halal Meats Contained in Meatball using Mitochondrial 12S rRNA Gene

Muhammad Cahyadi1,*https://orcid.org/0000-0003-3300-6479, Tommy Wibowo1https://orcid.org/0000-0001-9036-2811, Ahmad Pramono1https://orcid.org/0000-0001-6915-9456, Zakaria Husein Abdurrahman2https://orcid.org/0000-0002-9216-4365
Author Information & Copyright
1Department of Animal Science, Faculty of Agriculture, Sebelas Maret University, Surakarta 57126, Indonesia
2Faculty of Animal Science, Boyolali University, Boyolali 57315, Indonesia
*Corresponding author : Muhammad Cahyadi, Department of Animal Science, Faculty of Agriculture, Sebelas Maret University, Surakarta 57126, Indonesia Tel: +62-271-637-457 Fax: +62-271-637-457 E-mail: mcahyadi@staff.uns.ac.id

© Korean Society for Food Science of Animal Resources. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Mar 27, 2020 ; Revised: May 11, 2020 ; Accepted: May 28, 2020

Published Online: Jul 01, 2020

Abstract

The objective of this study was to detect three non-halal meat products consisted of dog, pork, and rat species in meatball using novel multiplex-PCR with 12S rRNA gene as target sites. A total of 33 self-made meatballs were used, and they were grouped into eleven types of meatball based on meat species origin contained in the meatballs. Each type consisted of three meatballs. Extraction of genomic DNA from the meatballs was used as a DNA template for simplex-, duplex-, and multiplex-PCR processes. The result of simplex-PCR, duplex-PCR, and multiplex-PCR showed that the 12S rRNA primer gene successfully amplified DNA for each species bovine, dog, pig, and rat, which are respectively indicated by 155, 244, 357, and 491 bp of DNA bands. In addition, multiplex-PCR with 12S rRNA gene primers can be uniquely and accurately used for detection bovine, dog, pig, and rat species on beef meatball in one reaction.

Keywords: meatball; multiplex-PCR; non-halal; species; 12S rRNA

Introduction

Beef is one of the most popular livestock commodities in Indonesia, which is consumed as meat and processed products such as meatball. Increasing beef demand as a main ingredient of meatballs, which is not balanced with sufficient supply of beef, creates an opportunity to adulterate and mix beef with other meat sources. Consumers find it difficult to prove which original beef or adulterated beef by bare eyes; it is even more challenging to identify beef adulteration in processed products. Adulteration of raw beef with other meats and its processed products can cause various problems, including consumer satisfaction, social problems, particular religious preferences, and other problems related to health hazards associated with certain types of substances from certain types of meat (Kumar et al., 2014).

Cases of beef adulteration are not only limited to substitution with pork (Ha et al., 2017). In Indonesia, beef adulteration is also mixed with dog and rat meats due to both types of meat is served as food in some cities (Weichart, 2004). The level of dog meat consumption in Asia, especially in Indonesia, is reasonably high because of eating dog meat is culturally permitted behavior in several Indonesian regions. It is reported that around one thousand dogs are slaughtered and served as food every week (Podberscek, 2009; Weichart, 2004). In the Europe, the idea of consuming dog meat is seen as something disgusting because, generally, dogs are kept as pets (Podberscek, 2009). Meat from dog, pig, and rat species has been regulated by criteria for prohibited consumption in Islamic law (Fadzlillah et al., 2011). In addition, these types of animals also have the potential to become zoonotic agents (Fajardo et al., 2010; Hamidi, 2018). If this type of meat is used in multi-species adulteration, it will be harmful not only for Moslem but also for all consumers.

Labeling regulation requires that compositions of meat products must be clearly stated in the package to protect the worldwide consumer from deviant meat products (Abuzinadah et al., 2015; Doosti et al., 2014). Stating composition in the package is obviously intended to protect consumers from fraud and adulteration. Sometimes producers of beef product do not provide clear information in the package, and they are often deliberately mixed beef with pork and its derivatives due to the obvious economic benefits in some countries like Korea, Japan, and China where beef is much expensive than pork (Ha et al., 2017).

The DNA-based method much more effective than using physical properties of meat in determining of meat species origin (Tathma et al., 2019). The application of this method for identification species origin contained in meat products using polymerase chain reaction (PCR) technique is frequently applied because DNA is quite stable against high temperature, pressure, and chemical treatments (Fajardo et al., 2010; Saez et al., 2004). The multiplex-PCR method uses more than one primer in one PCR tube. Therefore, it can be used to analyze large sample quantities, saving time, cost, and it is also highly sensitive (Dalmasso et al., 2004). Most of the previous studies develop mitochondrial genome such as Cytochrome b and 12S rRNA genes as target sites for phylogenetic, evolution, and species identification studies due to their unique nucleotides and maternally inherited to the offspring. The 12S rRNA region has been used for species identification in raw meats using multiplex-PCR assay (Cahyadi et al., 2018; Cahyadi et al., 2019). Therefore, the objective of this study was to detect intentionally contaminated beef meatball with three non-halal meats (dog, pork, and rat) using multiplex-PCR with the 12S rRNA region designed as target sites.

Materials and Methods

Meat samples

The samples of beef and pork were collected from traditional markets in Surakarta City. Dog and rat meats were collected from meat sellers who are not willing to be published to the public. Each meat sample was put into a zip locked plastic bag and tagged with a specific name and stored separately to avoid cross-contamination among samples until used for further process in the refrigerator at 4°C.

Producing of self-made meatball

Meats were thawed and cut into small pieces using sharp knives. They were ground using different meat grinder for each meat species (Meat Mincer LH-22CW, Huamei, Zhejiang, China). Ground meats were gently mixed with wheat flour, garlic powder, salt, and pepper until homogeneous. Ingredient of each sample unit is presented in Table 1. Furthermore, meatball doughs were shaped like a ball by hand, and then they were boiled for 20 minutes until floating. Cooked meatballs were drained and left at room temperature. Finally, they were separately stored in the freezer at −20°C until used for the subsequent analysis. The process of making meatball in this study used different equipment for each sample unit to prevent cross-contamination among samples (Sari et al., 2017).

Table 1. Meatballs sample composition
Ingredient (g) S A B T SA SB ST SAB SAT SBT SABT
Beef 100 0 0 0 50 50 50 33 33 33 25
Dog meat 0 100 0 0 50 0 0 33 33 0 25
Pork 0 0 100 0 0 50 0 33 0 33 25
Rat meat 0 0 0 100 0 0 50 0 33 33 25
Garlic 2 2 2 2 2 2 2 2 2 2 2
Tapioca Flour 15 15 15 15 15 15 15 15 15 15 15
Salt 2 2 2 2 2 2 2 2 2 2 2
Pepper 1 1 1 1 1 1 1 1 1 1 1
Total 120 120 120 120 120 120 120 119 119 119 120

S, beef meatball; A, dog meatball; B, pork meatball; T, rat meatball; SA, beef and dog meatball; SB, beef and pork meatball; ST, beef and rat meatball; SAB, beef, dog, and pork meatball; SAT, beef, dog, and rat meatball; SBT, beef, pork, and rat meatball; SABT, beef, dog, pork, and rat meatball.

Download Excel Table

Meatball samples in this study were divided into eleven sample units (Table 1). Every unit has three replications. Samples of S, A, B, and T meatballs were set for simplex-PCR, duplex- (SA, SB, and ST), and multiplex-PCR (SAB, SAT, SBT, and SABT) were made based on a combination of the composition of meat from beef (S), dog (A), pork (B), and rat (T). Those samples were used to test the uniqueness and specificity of the 12S rRNA gene primers using genomic DNA templates extracted from meatballs.

Isolation of genomic DNA

The genomic DNA was extracted according to the procedure of gsyncTM DNA extraction kit for tissue (Geneaid Biotech, Taipei, Taiwan). The isolated genomic DNA was stored at −20°C until used for PCR (Yacoub and Sadek, 2016). To evaluate the quality of isolated genomic DNA, 1% agarose gel electrophoresis was performed at 100 Volts for 30 minutes. Moreover, stained agorose gel was put into gel document to capture photograph (Bio-Rad Gel Doc XR +, USA).

Polymerase chain reaction (PCR)

The genomic DNA extracted from the meatball sample was used as a DNA template for the purpose of obtaining specific segments of the 12S rRNA gene as target using primers previously reported by Cahyadi et al. (2018) and Cahyadi et al. (2019). Primer pairs are shown in Table 2. Simplex-, duplex-, and multiplex-PCR reactions were carried out using a thermal cycler machine (GeneAmp® PCR System 9700, Singapore). The total volume of reaction in the microtube was 25 μL consisting of 12.5 μL MyTaq HS Red Mix (Bioline, London, UK), 1 μL genomic DNA template (10 ng/μL), 1 μL forward primer, 1 μL each reverse primer, and ddH2O adjusted until reach 25 μL total volume. Simplex-PCR only contained one primer pair, duplex-PCR contained two primer pairs (bovine primers and another species primers), and multiplex-PCR contained all primer pairs. The concentration of each primer in the reaction was 10 μM. The PCR reaction was started with an initial denaturation at 95°C for 3 minutes and followed by 30 cycles of denaturation at 95°C for 15 seconds, annealing at 64°C for 30 seconds, and then extension at 72°C for 30 seconds. The PCR process was completed by final extension at 72°C for 3 minutes. Finally, PCR products were electrophoresed using 2% agarose gel at 100 Volts for 30 minutes. Electrophoresis results were visualized using a gel document machine (Gel Doc XR+, Bio-Rad, Hercules, CA, USA). The 100 bp marker ladder was used as a standard size of the DNA band.

Table 2. Primer pairs of 12S rRNA genes
Species Primer Product size
Bovine F ACCGCGGTCATACGATT AAC 155 bp
R AGTGCGTCGGCTATTGTAGG
Dog F ACCGCGGTCATACGATT AAC 244 bp
R TCCTCTGGCGAATTATTTTGTTG
Pig F ACCGCGGTCATACGATT AAC 357 bp
R GAATTGGCAAGGGTTGGTAA
Rat F ACCGCGGTCATACGATT AAC 491 bp
R TCTGGGAAAAGAAAATGTAGCC

F, forward primer; R, reverse primer.

Download Excel Table

Results

Simplex-PCR

Simplex-PCR was conducted using meatball samples containing one species of meat origin. The result showed that primer pairs specifically for bovine, dog, pig, and rat correctly amplified target sites. Physical and heat treatment of samples during meatball-making did not affect DNA amplification. Simplex-PCR was successfully performed which is indicated by 155, 244, 357, and 491 bp DNA bands for bovine, dog, pig, and rat, respectively (Fig. 1). The simplex-PCR products were also evident. It indicated that DNA extracted in this study was pure, and no other DNA sources originated from other ingredients or RNA contamination. Therefore, every component in the reaction can be simultaneously working to produce specific and clear DNA bands.

kosfa-40-4-628-g1
Fig. 1. Multiplex-PCR visualization of meatball sample. M, 100 bp DNA marker; S, simplex-PCR of beef meatball; A, simplex-PCR of dog meatball; B, simplex-PCR pork meatball; T, simplex-PCR rat meatball; SA, duplex-PCR of beef and dog meatball; SB, duplex-PCR of beef and pork meatball; ST, duplex-PCR of beef and rat meatball; SAB, multiplex-PCR of beef, dog, and pig meatballs; SAT, multiplex-PCR of beef, dog, and rat meatballs; SBT, multiplex-PCR of beef, pork, and rat meatballs; SABT, multiplex-PCR of beef, dog, pig, and rat meatballs.
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Duplex-PCR

The aim of duplex-PCR was to check the possibility of non-halal meats contaminating beef. The beef was intentionally contaminated with pork, dog, and rat meats that represented non-halal meats. The result showed that duplex-PCR was also successfully carried out. Two DNA bands can be noticed corresponding to bovine and dog/porcine/rat specific segments (Fig. 1). The DNA bands were also clear and bright. These results suggested that two DNA genomics successfully extracted from treated meats with excellent purity and concentration of DNA genomes.

Multiplex-PCR

Triplex- and tetraplex PCRs represented multiplex-PCR. In these tests, beef samples were mixed all together with other meats. The existence of three DNA bands indicated the triplex PCR. Also, the tetraplex PCR was indicated by four DNA bands identified in the agarose gel. The results of multiplex-PCR using the 12S rRNA gene as target sites indicated that this novel multiplex-PCR was powerful enough to identify non-halal meats in meatballs. The DNA bands can be seen in the samples containing multi DNA sources, except the SAT sample (Fig. 1). The DNA band for the rat in the SAT mixture was slight, and it was not as bright as other bands. It may be due to the low concentration of rat genomic DNA extracted from the SAT sample; however, it still can be seen by the bare eyes. To prove specificity of primers, multiple alignment analysis of the 12S rRNA gene sequences obtained from genbank is provided in the Fig. 2.

kosfa-40-4-628-g2
Fig. 2. Multiple alignment of mt-DNA 12S rRNA gene sequences using reference sequences. Accession numbers of the reference sequences for bovine, dog, porcine, and rat were HQ184045.1, KF907307.1, JN601075.1, and AY769440.1, respectively. Forward primer (F) and complementary sequences of species-specific reverse primers are indicated by black boxes. Dots and grey boxes indicate identical and different nucleotides to the primer sequences, respectively.
Download Original Figure

Discussion

The DNA bands of each species in the simplex-, duplex-, and multiplex-PCR were explicitly detected. The primer pairs accurately amplified target sites of the 12S rRNA gene. Heat and physical treatment of meats did not affect the PCR results. The reactions were working well, which are indicated by specific and unique DNA bands for each species. The previous study reported that high processing temperatures up to 160°C did not affect the stability of the mitochondrial DNA 12S rRNA gene. It still can be a target of amplification in the PCR (Lakzadeh et al., 2013). The primer pairs of the 12S rRNA gene used in the present study can amplify the target area of the 12S rRNA gene using genomic DNA extracted from meatball samples. This result was in agreement with previous studies that successfully detected non-halal meats in raw meats (Cahyadi et al., 2018; Cahyadi et al., 2019).

Detection of a mixture of beef, dog, pig, and rat in raw meat and processed products such as meatballs has also been developed previously using the Cyt b gene (Novianty et al., 2016; Primasari, 2011; Rahman et al, 2014). The 12S rRNA gene primer in the present study has advantages, namely using universal forward primers and specific reverse primers to produce specific results. The primary 12S rRNA gene also has the same annealing temperature, so the multiplex-PCR, which is using more than one primer pairs in one tube reaction, generates more accurate amplification targets (Cahyadi et al., 2019). The PCR product size for each species was consistent in the simplex-, duplex-, and also multiplex-PCR. In the SAT meatball, the DNA band of rat species was less bright than other samples containing rat meat. It may be due to a low concentration of extracted rat DNA genomic. Also, the DNA concentration obtained from mix samples cannot be equal even though the meat proportion in the SAT samples was identical. Every part of the meatball cannot be extracted entirely since the reaction during the DNA extraction process cannot be adequately controlled by hand. Degradation of DNA molecules due to heat and physical treatments during processing may also lead to generating low DNA concentration and amplicon of PCR (Di Pinto et al., 2007). The less bright DNA band of multiplex-PCR samples may also be due to unspecific and interference among primers. However, the primer designed in this study was carefully checked by multiple alignment analysis of 12S rRNA gene sequences. The results suggested that reverse primers were specific for each species. It was proved by no identical nucleotide(s) at the three-prime end (3’-end) found in reverse primers. This criterion is absolutely necessary since different nucleotide(s) at the 3’-end of the primer is required for successful multiplex-PCR (Matsunaga et al., 1999).

Utilization of the 12S rRNA gene for species identification is previously reported that it can identify species of origin in the feedstuffs up to 0.01% of the DNA genome containing in the sample (Safdar and Junejo, 2015). In terms of using meatballs, earlier reports explained that duplex-PCR could detect up to only 1% chicken and pork contamination in the meatball made from beef (Novianty et al., 2016; Sari et al., 2017).

This study developed the mitochondrial DNA 12S rRNA gene as a biomarker for non-halal meats detection in processed meat product. This study also focused on identifying more than one species prohibited to be eaten by Moslem using the 12S rRNA gene by developing a multiplex PCR technique. There is no report yet regarded using the multiplex-PCR 12S rRNA gene to identify species in the animal-based product. Therefore, it could be a handy tool to be applied in the vast areas of the food industry. The multiplex-PCR can simultaneously amplify several different DNA sequences and gain more information in a single reaction, which leads to more effective and efficient using conventional PCR. On the other hand, the development of other PCRs such as PCR, PCR-RAPD, PCR-RFLP, species-specific PCR, and real-time PCR to detect species in food products are considered to be less efficient because they require the latest technology and high operational costs than multiplex-PCR (Fajardo et al., 2010). The main motive for most beef adulteration cases revealed in Indonesia is by mixing beef with large quantities of other animal meats to reduce production costs and to get more financial benefits (Ha et al., 2017). The enactment of Law No. 33 of 2014 concerning Guaranteed halal products in Indonesia makes the method of detecting non-halal ingredients in meat-based foods essential.

This novel multiplex-PCR with the 12S rRNA gene as a target for amplification could be promising tools to detect existences of porcine, rat, and dog in meat products in supporting Indonesian government policy. This novel finding could be an alternative DNA-based testing method to identify non-halal meats and their derivative materials in foods.

Conflicts of Interest

The authors declare no potential conflicts of interest.

Acknowledgements

This study was a part of Penelitian Dasar Kompetitif Nasional research scheme and fully funded by Directorate General of Strengthening Research and Development with contract number: 208/SP2H/LT/DRPM/2019, Ministry of Research, Technology and Higher Education, Indonesia.

Author Contributions

Conceptualization: Cahyadi M. Data curation: Cahyadi M, Wibowo T. Formal analysis: Wibowo T. Methodology: Cahyadi M, Wibowo T. Software: Cahyadi M, Wibowo T, Pramono A. Validation: Cahyadi M, Pramono A. Investigation: Cahyadi M, Wibowo T. Writing - original draft: Cahyadi M, Wibowo T, Abdurrahman ZH. Writing - review & editing: Cahyadi M, Wibowo T, Pramono A, Abdurrahman ZH.

Ethics Approval

This article does not require IRB/IACUC approval because there are no human and animal participants.

References

1.

Abuzinadah OHA, Yacoub HA, El Ashmaoui HM, Ramadan HAI. 2015; Molecular detection of adulteration in chicken products based on mitochondrial 12S rRNA gene. Mitochondrial DNA A DNA Mapp Seq Anal. 26:337-340

2.

Cahyadi M, Puruhita, Barido FH, Hertanto BS. 2018; Specific primer design of mitochondrial 12S rRNA for species identification in raw meats. IOP Conf Ser Earth Environ Sci. 102:012038

3.

Cahyadi M, Taufik IM, Pramono A, Abdurrahman ZH. 2019; Development of mitochondrial 12S rRNA gene for identification of dog and rat in beef using multiplex PCR. J Indones Trop Anim Agric. 44:10-18

4.

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 Probe. 18:81-87

5.

Di Pinto A, Vito TF, Maria CG, Carmela M, Francesco PS, Giuseppina T. 2007; A comparison of DNA extraction methods for food analysis. Food Control. 18:76-80

6.

Doosti A, Dehkordi PG, Rahimi E. 2014; Molecular assay to fraud identification of meat products. J Food Sci Technol. 51:148-152

7.

Fadzlillah NA, Man YBC, Jamaludin MA. 2011; Halal food issues from islamic and modern science perspectives. 2nd International Conference on Humanities, Historical and Social Sciences. Cairo. Egypt: pp p. 159-163.

8.

Fajardo V, González I, Rojas M, García T, Martín R. 2010; A review of current PCR-based methodologies for the authentication of meats from game animal species. Trends Food Sci Technol. 21:408-421

9.

Ha J, Kim S, Lee J, Lee S, Lee H, Choi Y, Oh H, Yoon Y. 2017; Identification of pork adulteration in processed meat products using the developed mitochondrial DNA-based primers. Korean J Food Sci Anim Resour. 37:464-468

10.

Hamidi K. 2018; How do rodents play role in transmission of foodborne diseases?. Nutri Food Sci Int J. 6:1-4

11.

Kumar D, Singh SP, Karabasanavar NS, Singh R, Umapathi V. 2014; Authentication of beef, carabeef, chevon, mutton and pork by a PCR-RFLP assay of mitochondrial cytb gene. J Food Sci Technol. 51:3458-3463

12.

Lakzadeh L, Hosseinzadeh S, Shekarforoush SS, Fazeli M. 2013; Application of PCR and SYBR green q rti-PCR assays for the identification and quantification of chicken meat under different cooking conditions. Food Biotechnol. 27:249-260

13.

Matsunaga T, Chikuni K, Tanabe R, Muroya S, Shibata K, Yamada J, Shinmura Y. 1999; A quick and simple method for the identification of meat species and meat products by PCR assay. Meat Sci. 51:143-148

14.

Novianty E, Kartikasari LR, Lee JH, Cahyadi M. 2016; Identification of pork contamination in meatball using genetic marker mitochondrial DNA cytochrome b gene by duplex-PCR. IOP Conf Ser Mater Sci Eng. 193:012002

15.

Podberscek AL. 2009; Good to pet and eat: The keeping and consuming of dogs and cats in South Korea. J Soc Issues. 65:615-632

16.

Primasari A. 2011 Sensitivity of cytochrome b (cyt b) genes as a specific marker in rattus and mus for food safety of meat product. M.S. thesis,Institut Pertanian Bogor. Bogor, Indonesia: .

17.

Rahman MM, Ali AE, Hamid SBA, Mustafa S, Hashim U, Hanapi UK. 2014; Polymerase chain reaction assay cytochrome b gene for the detection of dog meat adulteration in meatball formulation. Meat Sci. 97:404-409

18.

Saez R, Sanz Y, Toldrá F. 2004; PCR-based fingerprinting techniques for rapid detection of animal species in meat products. Meat Sci. 66:659-665

19.

Safdar M, Junejo Y. 2015; A multiplex-conventional PCR assay for bovine, ovine, caprine and fish species identification in feedstuffs: Highly sensitive and specific. Food Control. 50:190-194

20.

Sari EP, Kartikasari LR, Cahyadi M. 2017; Detection of chicken contamination in beef meatball using duplex-PCR cyt b gene. IOP Conf Ser Mater Sci Eng. 193:012010

21.

Tathma FR, Wibowo T, Taufik IM, Cahyadi M. 2019; Color and texture analyses of meatballs made from beef, pork, rat, dog meats, and their mixtures. IOP Conf Ser Mater Sci Eng. 633:012029

22.

Weichart G. 2004; Minahasa identity: A culinary practice. Antropol Indones Special. volume:55-74.

23.

Yacoub HA, Sadek MA. 2016; Identification of fraud (with pig stuffs) in chicken-processed meat through information of mitochondrial cytochrome b. Mitochondrial DNA A DNA Mapp Seq Anal. 28:855-859