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Fu H, Zhang C, Wang Y, Chen G. Advances in multiplex molecular detection technologies for harmful algae. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:43745-43757. [PMID: 35449333 DOI: 10.1007/s11356-022-20269-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
As the eutrophication of natural water bodies becomes more and more serious, the frequency of outbreaks of harmful algal blooms (HABs) mainly formed by harmful algae also increases. HABs have become a global ecological problem that poses a serious threat to human health and food safety. Therefore, it is extremely important to establish methods that can rapidly detect harmful algal species for early warning of HABs. The traditional morphology-based identification method is inefficient and inaccurate. In recent years, the rapid development of molecular biology techniques has provided new ideas for the detection of harmful algae and has become a research hotspot. The current molecular detection methods for harmful algal species mainly include fluorescence in situ hybridization, sandwich hybridization, and quantitative PCR (qPCR), but all of these methods can only detect single harmful algal species at a time. The establishment of methods for the simultaneous detection of multiple harmful algal species has become a new trend in the development of molecular detection technology because various harmful algal species may coexist in the natural water environment. The established molecular techniques for multiple detections of harmful algae mainly include gene chip, multiplex PCR, multiplex qPCR, massively parallel sequencing, antibody chip, and multiple isothermal amplification. This review mainly focuses on the principles, advantages and disadvantages, application progress, and application prospects of these multiple detection technologies, aiming at providing effective references not only for the fisheries but also for economic activities, environment, and human health.
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Affiliation(s)
- Hanyu Fu
- College of Oceanology, Harbin Institute of Technology (Weihai), Weihai, 264209, People's Republic of China
| | - Chunyun Zhang
- College of Oceanology, Harbin Institute of Technology (Weihai), Weihai, 264209, People's Republic of China
| | - Yuanyuan Wang
- College of Oceanology, Harbin Institute of Technology (Weihai), Weihai, 264209, People's Republic of China
| | - Guofu Chen
- College of Oceanology, Harbin Institute of Technology (Weihai), Weihai, 264209, People's Republic of China.
- School of Environment, Harbin Institute of Technology, Harbin, 150009, People's Republic of China.
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Wang L, Chen GF, Zhang CY, Wang YY, Sun R. Rapid and sensitive detection of Amphidinium carterae by loop-mediated isothermal amplification combined with a chromatographic lateral-flow dipstick. Mol Cell Probes 2019; 43:72-79. [DOI: 10.1016/j.mcp.2018.11.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/23/2018] [Accepted: 11/05/2018] [Indexed: 11/25/2022]
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Nie X, Zhang C, Wang Y, Guo C, Zhou J, Chen G. Application of hyper-branched rolling circle amplification (HRCA) and HRCA-based strip test for the detection of Chattonella marina. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:15678-15688. [PMID: 28527138 DOI: 10.1007/s11356-017-9152-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 05/01/2017] [Indexed: 06/07/2023]
Abstract
Harmful algal blooms (HABs) are global threats to marine ecosystems, fisheries, and human health. Therefore, developing effective and accurate methods for identifying causative algae and monitoring seawater quality is urgent. However, traditional, microscopy-based methods are complex, inaccurate, and time-consuming. Here, we present a novel method for effective and sensitive detection of Chattonella marina using hyper-branched rolling circle amplification (HRCA) and HRCA-based strip test (HBST). The large subunit (LSU) ribosomal DNA (rDNA) D1-D2 region of C. marina was firstly sequenced to design a species-specific padlock probe (PLP). The HRCA reaction with two amplification primers and further HBST for C. marina was established. The optimized reaction conditions for HRCA were PLP concentration, 20 pM; ligation temperature, 65 °C; ligation time, 60 min; amplification temperature, 61 °C; and amplification time, 60 min. The developed HBST detection procedure involved HRCA reaction, test strip preparation, hybridization, coloration, and judgment of hybridization by the naked eye. Specificity and sensitivity of the established methods were validated. Moreover, the results showed that the established detection methods were specific and sensitive to C. marina. The detection limits of HRCA and HBST assays were 10 copies and 1 copy μL-1 of plasmid with LSU rDNA of C. marina, which are of two and three respective magnitude orders higher than conventional PCR. Finally, the protocols were applied to the simulated field samples and the results showed that the developed HBST assay had higher detection sensitivity than HRCA and PCR. In conclusion, the methods presented in this study are promising for sensitive, intuitive, and specific detection of C. marina in field monitoring natural samples and may provide a good detection model for other harmful algae in the future.
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Affiliation(s)
- Xiaoli Nie
- College of Oceanology, School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Wenhua West Road, 2#, Weihai, 264209, Shandong Province, People's Republic of China
| | - Chunyun Zhang
- College of Oceanology, School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Wenhua West Road, 2#, Weihai, 264209, Shandong Province, People's Republic of China.
| | - Yuanyuan Wang
- College of Oceanology, School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Wenhua West Road, 2#, Weihai, 264209, Shandong Province, People's Republic of China
| | - Changlu Guo
- College of Oceanology, School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Wenhua West Road, 2#, Weihai, 264209, Shandong Province, People's Republic of China
| | - Jin Zhou
- Division of Ocean Science and Technology, Graduate School at Shenzhen, Tsinghua University, Shenzhen University Town, Xili Town, Shenzhen City, 518055, Guangdong Province, People's Republic of China
| | - Guofu Chen
- College of Oceanology, School of Marine Science and Technology, Harbin Institute of Technology at Weihai, Wenhua West Road, 2#, Weihai, 264209, Shandong Province, People's Republic of China.
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