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    Monitoring of the toxic dinoflagellate Alexandrium catenella in Osaka Bay, Japan using a massively parallel sequencing (MPS)-based technique

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    Type
    Article
    Authors
    Nagai, Satoshi
    Chen, Hungyen
    Kawakami, Yoko
    Yamamoto, Keigo
    Sildever, Sirje
    Kanno, Nanako
    Oikawa, Hiroshi
    Yasuike, Motoshige
    Nakamura, Yoji
    Hongo, Yuki
    Fujiwara, Atushi
    Kobayashi, Takanori
    Gojobori, Takashi cc
    KAUST Department
    Bioscience Program
    Computational Bioscience Research Center (CBRC)
    Biological and Environmental Sciences and Engineering (BESE) Division
    Date
    2019-09-12
    Online Publication Date
    2019-09-12
    Print Publication Date
    2019-11
    Permanent link to this record
    http://hdl.handle.net/10754/658608
    
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    Abstract
    Since 2002, blooms of Alexandrium catenella sensu Fraga et al. (2015) and paralytic shellfish toxicity events have occurred almost yearly in Osaka Bay, Japan. To better understand the triggers for reoccurring A. catenella blooms in Osaka Bay, phytoplankton community was monitored during the spring seasons of 2012–2015. Monitoring was performed using massively parallel sequencing (MPS)-based technique on amplicon sequences of the 18S rRNA gene. Dense blooms of A. catenella occurred every year except in 2012, however, there was no significant correlation with the environmental parameters investigated. Plankton community diversity decreased before and middle of the A. catenella blooms, suggesting that the decline in diversity could be an indicator for the bloom occurrence. The yearly abundance pattern of A. catenella cells obtained by morphology-based counting coincided with the relative sequence abundances, which supports the effectiveness of MPS-based phytoplankton monitoring.
    Citation
    Nagai, S., Chen, H., Kawakami, Y., Yamamoto, K., Sildever, S., Kanno, N., … Gojobori, T. (2019). Monitoring of the toxic dinoflagellate Alexandrium catenella in Osaka Bay, Japan using a massively parallel sequencing (MPS)-based technique. Harmful Algae, 89, 101660. doi:10.1016/j.hal.2019.101660
    Sponsors
    We thank Dr. Kyoko Yarimizu, National Research Institute of Fisheries Science, Japan Fisheries Research and Education Agency, for critical reading of the manuscript and encouragement during this study. A. Kondo and R. Kubota are thanked for their help with the molecular work. This work was supported by a Grant-in-Aid (Marine Metagenomics for Monitoring the Coastal Microbiota) by the Ministry of Agriculture, Forestry, and Fisheries of Japan; a Grant-in-Aid for Scientific Research (Kiban-B) by the Japan Society for the Promotion of Science (Grant number:25292130); and a Grant-in-Aid by the Japanese Society for the Promotion of Science Fellows (Grant number: 02523180 and PE18028). [CG]
    Publisher
    Elsevier BV
    Journal
    Harmful Algae
    DOI
    10.1016/j.hal.2019.101660
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S1568988319301337
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.hal.2019.101660
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Bioscience Program; Computational Bioscience Research Center (CBRC)

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