Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products
Polymerase chain reaction (PCR) detection is a commonly used method for species identification of meat products. However, this method is not suitable for the analysis of meat products containing multiple mixtures. This study aimed to test whether next-generation sequencing (NGS) technology could be...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2021/4512536 |
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| author | Xinmei Liu Zhiyang Liu Yiyu Cheng Haijing Wu Wei Shen Yan Liu Qiushi Feng Jun Yang |
| author_facet | Xinmei Liu Zhiyang Liu Yiyu Cheng Haijing Wu Wei Shen Yan Liu Qiushi Feng Jun Yang |
| author_sort | Xinmei Liu |
| collection | DOAJ |
| description | Polymerase chain reaction (PCR) detection is a commonly used method for species identification of meat products. However, this method is not suitable for the analysis of meat products containing multiple mixtures. This study aimed to test whether next-generation sequencing (NGS) technology could be used as a method for the certification of mixed meat products. In this study, five kinds of common meat (pigs, cattle, sheep, chickens, and ducks) were mixed as samples with different proportions. The primers designed from mitochondrial 16S rRNA and nuclear genome gene (growth hormone receptor, GHR), respectively, were used to detect these meats. The sequencing results of NGS were analyzed using a self-designed bioinformatics program. The fragments with similar sequences were classified and compared with the database to determine their species. The results showed that all five kinds of meat components could be correctly identified using these two primers. The meat composition could be detected as low as 0.5% in the mixed samples using the NGS technology targeting GHR gene fragments, which was superior to those targeting mitochondrial 16S rRNA. However, the quantitative detection of species in the mixture was not likely to be quite accurate due to the amplification bias of PCR amplification. These results showed that the NGS technology could be applied to identify meat species in mixtures. |
| format | Article |
| id | doaj-art-0d6a0f60a46a44399c65c859f9fb191a |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-0d6a0f60a46a44399c65c859f9fb191a2025-02-03T01:04:34ZengWileyJournal of Food Quality0146-94281745-45572021-01-01202110.1155/2021/45125364512536Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat ProductsXinmei Liu0Zhiyang Liu1Yiyu Cheng2Haijing Wu3Wei Shen4Yan Liu5Qiushi Feng6Jun Yang7Nanjing Institute for Food and Drug Control, Nanjing 211198, ChinaInstitute of Vegetable Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaNanjing Institute for Food and Drug Control, Nanjing 211198, ChinaPolymerase chain reaction (PCR) detection is a commonly used method for species identification of meat products. However, this method is not suitable for the analysis of meat products containing multiple mixtures. This study aimed to test whether next-generation sequencing (NGS) technology could be used as a method for the certification of mixed meat products. In this study, five kinds of common meat (pigs, cattle, sheep, chickens, and ducks) were mixed as samples with different proportions. The primers designed from mitochondrial 16S rRNA and nuclear genome gene (growth hormone receptor, GHR), respectively, were used to detect these meats. The sequencing results of NGS were analyzed using a self-designed bioinformatics program. The fragments with similar sequences were classified and compared with the database to determine their species. The results showed that all five kinds of meat components could be correctly identified using these two primers. The meat composition could be detected as low as 0.5% in the mixed samples using the NGS technology targeting GHR gene fragments, which was superior to those targeting mitochondrial 16S rRNA. However, the quantitative detection of species in the mixture was not likely to be quite accurate due to the amplification bias of PCR amplification. These results showed that the NGS technology could be applied to identify meat species in mixtures.http://dx.doi.org/10.1155/2021/4512536 |
| spellingShingle | Xinmei Liu Zhiyang Liu Yiyu Cheng Haijing Wu Wei Shen Yan Liu Qiushi Feng Jun Yang Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products Journal of Food Quality |
| title | Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products |
| title_full | Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products |
| title_fullStr | Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products |
| title_full_unstemmed | Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products |
| title_short | Application of Next-Generation Sequencing Technology Based on Single Gene Locus in Species Identification of Mixed Meat Products |
| title_sort | application of next generation sequencing technology based on single gene locus in species identification of mixed meat products |
| url | http://dx.doi.org/10.1155/2021/4512536 |
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