Literature DB >> 31672234

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

Satoshi Nagai1, Hungyen Chen2, Yoko Kawakami3, Keigo Yamamoto4, Sirje Sildever5, Nanako Kanno5, Hiroshi Oikawa5, Motoshige Yasuike5, Yoji Nakamura5, Yuki Hongo5, Atushi Fujiwara5, Takanori Kobayashi5, Takashi Gojobori6.   

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alexandrium catenella; Massively parallel sequencing; Osaka Bay; Paralytic shellfish poisoning; Plankton assemblages; Species diversity

Mesh:

Year:  2019        PMID: 31672234     DOI: 10.1016/j.hal.2019.101660

Source DB:  PubMed          Journal:  Harmful Algae        ISSN: 1568-9883            Impact factor:   4.273


  1 in total

1.  Temporal Prediction of Paralytic Shellfish Toxins in the Mussel Mytilus galloprovincialis Using a LSTM Neural Network Model from Environmental Data.

Authors:  Jisun Shin; Soo Mee Kim
Journal:  Toxins (Basel)       Date:  2022-01-12       Impact factor: 4.546

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.