Institutional Repository of Key Laboratory of Marine Ecology & Environmental Sciences, CAS
Molecular method for rapid detection of the red tide dinoflagellate Karenia mikimotoi in the coastal region of Xiangshan Bay, China | |
Huang, Hai-Long1,2; Gao, Wei-Fang3; Zhu, Peng1,3; Zhou, Cheng-Xu1; Qiao, Long-Liang1; Dang, Chen-Yang1; Pang, Jian-Hu1; Yan, Xiao-Jun1 | |
2020 | |
Source Publication | JOURNAL OF MICROBIOLOGICAL METHODS
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ISSN | 0167-7012 |
Volume | 168Pages:7 |
Corresponding Author | Zhu, Peng(zhupengnbu@nbu.edu.cn) ; Yan, Xiao-Jun(yanxiaojun@nbu.edu.cn) |
Abstract | The species Karenia mikimotoi is a common nearshore red tide alga that can secrete hemolytic exotoxin and ichthyotoxin, which can induce the death of fish and shellfish, causing severe economic losses. In this study, loop-mediated isothermal amplification (LAMP) was employed in combination with the lateral flow dipstick (LFD) visual detection method to establish the LAMP-LFD rapid detection method for K. mikimotoi. The internal transcribed spacer ITS1-5.8S-ITS2 of K. mikimotoi was used as the target sequence and was amplified with specific primers designed in this study. The results indicated that the amplification optimal reaction conditions for LAMP in this paper were for 20 min at 65 degrees C. Moreover, LAMP had excellent specificity, showing negative results for other common red tide causing algal species. In field samples, we successfully reduced the total time, with only 23 min needed from LAMP amplification to LFD result display, which was shorter than that of conventional PCR. Consequently, LAMP-LFD should be useful for rapid field detection of low-density K. mikimotoi and for the early prevention of red tide induced by such algae. |
Keyword | Karenia mikimotoi ITS LAMP-LFD assay Rapid Harmful algae |
DOI | 10.1016/j.mimet.2019.105801 |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key Research and Development Program of China[2018YFD0900702] ; Zhejiang Provincial Public Welfare Technology Program of China[2017C33133] ; Ningbo Science and Technology Research Projects of China[2017C110003] ; China Spark Program of the National Ministry of Science and Technology[2015GA701001] ; Earmarked Fund for Modern Agro-industry Technology Research System, China[CARS-49] ; Scientific Research Foundation of Graduate School of Ningbo University ; Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Development Fund ; National 111 Project of China ; Laboratory of Marine Ecosystem and Biogeochemistry, Second Institute of Oceanography, China[LMEB201705] ; K.C. Wang Magna Fund in Ningbo University (SS) |
WOS Research Area | Biochemistry & Molecular Biology ; Microbiology |
WOS Subject | Biochemical Research Methods ; Microbiology |
WOS ID | WOS:000508748500014 |
Publisher | ELSEVIER |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.qdio.ac.cn/handle/337002/165311 |
Collection | 海洋生态与环境科学重点实验室 |
Corresponding Author | Zhu, Peng; Yan, Xiao-Jun |
Affiliation | 1.Ningbo Univ, Key Lab Appl Marine Biotechnol, Ningbo 315211, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Shandong, Peoples R China 3.Ningbo Inst Oceanog, Ningbo 315832, Zhejiang, Peoples R China |
First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Huang, Hai-Long,Gao, Wei-Fang,Zhu, Peng,et al. Molecular method for rapid detection of the red tide dinoflagellate Karenia mikimotoi in the coastal region of Xiangshan Bay, China[J]. JOURNAL OF MICROBIOLOGICAL METHODS,2020,168:7. |
APA | Huang, Hai-Long.,Gao, Wei-Fang.,Zhu, Peng.,Zhou, Cheng-Xu.,Qiao, Long-Liang.,...&Yan, Xiao-Jun.(2020).Molecular method for rapid detection of the red tide dinoflagellate Karenia mikimotoi in the coastal region of Xiangshan Bay, China.JOURNAL OF MICROBIOLOGICAL METHODS,168,7. |
MLA | Huang, Hai-Long,et al."Molecular method for rapid detection of the red tide dinoflagellate Karenia mikimotoi in the coastal region of Xiangshan Bay, China".JOURNAL OF MICROBIOLOGICAL METHODS 168(2020):7. |
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