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Xing RR, Bai WM, Hu D, Deng TT, Zhang JK, Chen Y. Using a DNA mini-barcode within the ITS region to identify toxic Amanita in mushroom poisoning cases. Appl Microbiol Biotechnol 2024; 108:376. [PMID: 38884656 PMCID: PMC11182838 DOI: 10.1007/s00253-024-13219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 05/28/2024] [Accepted: 06/02/2024] [Indexed: 06/18/2024]
Abstract
Mushroom poisoning contributes significantly to global foodborne diseases and related fatalities. Amanita mushrooms frequently cause such poisonings; however, identifying these toxic species is challenging due to the unavailability of fresh and intact samples. It is often necessary to analyze residues, vomitus, or stomach extracts to obtain DNA sequences for the identification of species responsible for causing food poisoning. This usually proves challenging to obtain usable DNA sequences that can be analyzed using conventional molecular biology techniques. Therefore, this study aimed to develop a DNA mini-barcoding method for the identification of Amanita species. Following the evaluation and optimization of universal primers for DNA mini-barcoding in Amanita mushrooms, we found that the internal transcribed spacer (ITS) gene sequence primer ITS-a was the most suitable DNA barcode primer for identifying Amanita species. Forty-three Amanita samples were subsequently amplified and sequenced. The sequences obtained were analyzed for intra- and inter-species genetic distances, and a phylogenetic tree was constructed. The findings indicated that the designed primers had strong universality among the Amanita samples and could accurately identify the target gene fragment with a length of 290 bp. Notably, the DNA mini-barcode accurately identified the 43 Amanita samples, demonstrating high consistency with the conventional DNA barcode. Furthermore, it effectively identified DNA from digested samples. In summary, this DNA mini-barcode is a promising tool for detecting accidental ingestion of toxic Amanita mushrooms. It may be used as an optimal barcode for species identification and traceability in events of Amanita-induced mushroom poisoning. KEY POINTS: • Development of a DNA mini-barcoding method for Amanita species identification without fresh samples. • The ITS-a primer set was optimized for robust universality in Amanita samples. • The mini-barcode is suitable for screening toxic mushroom species in mushroom poisoning cases.
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Affiliation(s)
- Ran-Ran Xing
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Wen-Ming Bai
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
- College of Food Science, South China Agricultural University, Guangzhou, 510642, China
| | - Di Hu
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
- Nanjing University of Finance and Economics, Nanjing, 210046, China
| | - Ting-Ting Deng
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Jiu-Kai Zhang
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China
| | - Ying Chen
- National Key Laboratory for Market Supervision (Food Authentication), Chinese Academy of Inspection and Quarantine, No. 11, Ronghua South Street, Daxing District, Beijing, 100176, China.
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Chen S, Yin X, Han J, Sun W, Yao H, Song J, Li X. DNA barcoding in herbal medicine: Retrospective and prospective. J Pharm Anal 2023; 13:431-441. [PMID: 37305789 PMCID: PMC10257146 DOI: 10.1016/j.jpha.2023.03.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 03/07/2023] [Accepted: 03/25/2023] [Indexed: 06/13/2023] Open
Abstract
DNA barcoding has been widely used for herb identification in recent decades, enabling safety and innovation in the field of herbal medicine. In this article, we summarize recent progress in DNA barcoding for herbal medicine to provide ideas for the further development and application of this technology. Most importantly, the standard DNA barcode has been extended in two ways. First, while conventional DNA barcodes have been widely promoted for their versatility in the identification of fresh or well-preserved samples, super-barcodes based on plastid genomes have rapidly developed and have shown advantages in species identification at low taxonomic levels. Second, mini-barcodes are attractive because they perform better in cases of degraded DNA from herbal materials. In addition, some molecular techniques, such as high-throughput sequencing and isothermal amplification, are combined with DNA barcodes for species identification, which has expanded the applications of herb identification based on DNA barcoding and brought about the post-DNA-barcoding era. Furthermore, standard and high-species coverage DNA barcode reference libraries have been constructed to provide reference sequences for species identification, which increases the accuracy and credibility of species discrimination based on DNA barcodes. In summary, DNA barcoding should play a key role in the quality control of traditional herbal medicine and in the international herb trade.
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Affiliation(s)
- Shilin Chen
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Xianmei Yin
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Jianping Han
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Wei Sun
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Hui Yao
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Jingyuan Song
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China
| | - Xiwen Li
- Key Laboratory of Beijing for Identification and Safety Evaluation of Chinese Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
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Ashfaq M, Khan AM, Rasool A, Akhtar S, Nazir N, Ahmed N, Manzoor F, Sones J, Perez K, Sarwar G, Khan AA, Akhter M, Saeed S, Sultana R, Tahir HM, Rafi MA, Iftikhar R, Naseem MT, Masood M, Tufail M, Kumar S, Afzal S, McKeown J, Samejo AA, Khaliq I, D’Souza ML, Mansoor S, Hebert PDN. A DNA barcode survey of insect biodiversity in Pakistan. PeerJ 2022; 10:e13267. [PMID: 35497186 PMCID: PMC9048642 DOI: 10.7717/peerj.13267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/23/2022] [Indexed: 01/15/2023] Open
Abstract
Although Pakistan has rich biodiversity, many groups are poorly known, particularly insects. To address this gap, we employed DNA barcoding to survey its insect diversity. Specimens obtained through diverse collecting methods at 1,858 sites across Pakistan from 2010-2019 were examined for sequence variation in the 658 bp barcode region of the cytochrome c oxidase 1 (COI) gene. Sequences from nearly 49,000 specimens were assigned to 6,590 Barcode Index Numbers (BINs), a proxy for species, and most (88%) also possessed a representative image on the Barcode of Life Data System (BOLD). By coupling morphological inspections with barcode matches on BOLD, every BIN was assigned to an order (19) and most (99.8%) were placed to a family (362). However, just 40% of the BINs were assigned to a genus (1,375) and 21% to a species (1,364). Five orders (Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera) accounted for 92% of the specimens and BINs. More than half of the BINs (59%) are so far only known from Pakistan, but others have also been reported from Bangladesh (13%), India (12%), and China (8%). Representing the first DNA barcode survey of the insect fauna in any South Asian country, this study provides the foundation for a complete inventory of the insect fauna in Pakistan while also contributing to the global DNA barcode reference library.
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Affiliation(s)
- Muhammad Ashfaq
- Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Canada
| | - Arif M. Khan
- Department of Biotechnology, University of Sargodha, Sargodha, Pakistan
| | - Akhtar Rasool
- Centre for Animal Sciences and Fisheries, University of Swat, Mingora, Pakistan
| | - Saleem Akhtar
- Directorate of Entomology, Ayub Agricultural Research Institute, Faisalabad, Pakistan
| | - Naila Nazir
- Department of Entomology, University of Poonch, Rawalakot, Azad Kashmir, Pakistan
| | - Nazeer Ahmed
- Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan
| | - Farkhanda Manzoor
- Department of Zoology, Lahore College for Women University, Lahore, Pakistan
| | - Jayme Sones
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Canada
| | - Kate Perez
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Canada
| | - Ghulam Sarwar
- Institute of Zoology, University of the Punjab, Lahore, Pakistan
| | - Azhar A. Khan
- College of Agriculture, Bahauddin Zakariya University Bahadur Campus, Layyah, Pakistan
| | - Muhammad Akhter
- Pulses Research Institute, Ayub Agricultural Research Institute, Faisalabad, Pakistan
| | - Shafqat Saeed
- Faculty of Agriculture and Environmental Sciences, MNS University of Agriculture, Multan, Pakistan
| | - Riffat Sultana
- Department of Zoology, University of Sindh, Jamshoro, Pakistan
| | | | - Muhammad A. Rafi
- National Insect Museum, National Agricultural Research Center, Islamabad, Pakistan
| | - Romana Iftikhar
- Department of Plant Pathology, Washington State University, Pullman, WA, United States
| | | | - Mariyam Masood
- Government College Women University Faisalabad, Faisalabad, Pakistan
| | | | - Santosh Kumar
- Department of Zoology, Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan
| | - Sabila Afzal
- Department of Zoology, University of Narowal, Narowal, Pakistan
| | - Jaclyn McKeown
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Canada
| | | | | | | | - Shahid Mansoor
- National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Paul D. N. Hebert
- Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, Canada
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DNA barcoding of insects from India: Current status and future perspectives. Mol Biol Rep 2022; 49:10617-10626. [PMID: 35716293 PMCID: PMC9206398 DOI: 10.1007/s11033-022-07628-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 11/01/2022]
Abstract
Insect fauna occupy the largest proportion of animal biodiversity on earth, but the assessment or quantification in terms of species diversity is far from complete. Several recent studies have demonstrated the rapid pace at which insect population decline is occurring. There is an urgent need to document and quantify the diversity of insect fauna for a proper understanding of terrestrial ecosystems. This can be achieved by using modern technology to identify species much faster than relying on traditional methods alone. In line with this, the molecular approach through DNA barcoding coupled with morphological identification needs to be focused and accelerated. The present paper describes the current status of barcoding of insect species in India along with the gaps that need to be remedied. This analysis shows that barcoded specimens cover a very meagre proportion of less than 3.73% of the known taxa/described species and the most represented orders are Lepidoptera and Hemiptera followed by Diptera and Coleoptera. There is a need to expedite insect species discovery and documentation in a collaborative mode between traditional taxonomists and molecular biologists, to accomplish the DNA barcoding of all known insect taxa from India.
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