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Morphological discrimination of fouling Ulva and Blidingia species on Pyropia rafts in Rudong, China: an in-field protocol for early monitoring of algae forming the Yellow Sea green tide

  • Yingying Ma

    Yingying Ma was a graduate student in the Institute of Oceanology, Chinese Academy of Sciences. Her research interest is morphological and molecular identification of the Ulva species.

    , Jin Zhao

    Jin Zhao is an associate professor in the Institute of Oceanology, Chinese Academy of Sciences. She is engaged in studying the genetic composition, formation mechanism and dynamic process of macroalgal blooms, including green tides and golden tides, in China.

    , Fanzhou Kong

    Fanzhou Kong acquired his PhD in Environmental Science from Institute of Oceanography, Chinese Academy of Sciences, and now is an associate professor. His interests are in phytoplankton pigments, harmful algal bloom species and community ecology, macroalgal bloom biomass and distribution.

    , Tian Yan

    Tian Yan is a senior scientist at Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences. She is engaged in studying harmful algal blooms including red tides, green tides and golden tides in China, and especially in the ecotoxicology field.

    and Peng Jiang

    Peng Jiang is a professor in the Institute of Oceanology, Chinese Academy of Sciences. His research interests are in biological mechanisms of harmful macroalgal blooms, genetics and metabolic engineering of marine algae.

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Published/Copyright: September 17, 2024

Abstract

Fouling seaweeds on nori cultivation rafts in Subei radial sand ridges (Jiangsu, China) are believed to be the source of the Yellow Sea green tide (YSGT). Although major species are consistent across years, their biomass and proportions undergo significant annual changes, which was speculated to be related to the size of YSGT. Therefore, early detection and biomass assessment of the bloom-forming algae are crucial, increasing the need to develop a morphological identification method suitable for large sample sizes in the field. In this study, fouling seaweeds were collected from this area in spring 2017. Five major species, Ulva aragoënsis, Ulva compressa, Ulva linza, Ulva prolifera, and Blidingia sp. were molecularly identified, and confirmed as the predominant fouling seaweeds on nori rafts over the past decade. In this unique ecological niche, the morphological features of species changed significantly yet stably. Based on morphological observations, an identification key for these five species was established. Furthermore, a simplified version containing only two indices was developed for practical field use, with an average accuracy of 81 % (δ2 = 0.003) in empirical accuracy assessments. This method can be used to monitor the community structure and succession of fouling seaweeds at the geographical source of YSGT.


Corresponding author: Peng Jiang, CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China; and Laboratory for Marine Biology and Biotechnology, Qingdao Marine Science and Technology Center, Qingdao, China, E-mail:
Yingying Ma and Jin Zhao contributed equally to this work.

Funding source: Natural Science Foundation of Qingdao City

Award Identifier / Grant number: 23-2-1-172-zyyd-jch

Funding source: Science & Technology Basic Resources Investigation Program of China

Award Identifier / Grant number: 2018FY100205

Award Identifier / Grant number: 41776153

Funding source: Strategic Priority Research Program of the Chinese Academy of Sciences

Award Identifier / Grant number: XDB42030302

Funding source: Nantong Municipal Science and Technology Project

Award Identifier / Grant number: MS2023011

About the authors

Yingying Ma

Yingying Ma was a graduate student in the Institute of Oceanology, Chinese Academy of Sciences. Her research interest is morphological and molecular identification of the Ulva species.

Jin Zhao

Jin Zhao is an associate professor in the Institute of Oceanology, Chinese Academy of Sciences. She is engaged in studying the genetic composition, formation mechanism and dynamic process of macroalgal blooms, including green tides and golden tides, in China.

Fanzhou Kong

Fanzhou Kong acquired his PhD in Environmental Science from Institute of Oceanography, Chinese Academy of Sciences, and now is an associate professor. His interests are in phytoplankton pigments, harmful algal bloom species and community ecology, macroalgal bloom biomass and distribution.

Tian Yan

Tian Yan is a senior scientist at Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences. She is engaged in studying harmful algal blooms including red tides, green tides and golden tides in China, and especially in the ecotoxicology field.

Peng Jiang

Peng Jiang is a professor in the Institute of Oceanology, Chinese Academy of Sciences. His research interests are in biological mechanisms of harmful macroalgal blooms, genetics and metabolic engineering of marine algae.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work was supported by the Natural Science Foundation of Qingdao City (23-2-1-172-zyyd-jch), Strategic Priority Research Program of the Chinese Academy of Sciences (XDB42030302), Nantong Municipal Science and Technology Project (MS2023011), Science & Technology Basic Resources Investigation Program of China (2018FY100205), and National Natural Science Foundation of China (41776153).

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/bot-2023-0077).


Received: 2023-08-31
Accepted: 2024-08-20
Published Online: 2024-09-17
Published in Print: 2025-02-25

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