Phytoplankton community and HAB species in the South China Sea detected by morphological and metabarcoding approaches

Wang, Zhaohui; Liu, Lei; Tang, Yali; Li, Aifeng; Liu, Chao; Xie, Changliang; Xiao, Lijuan; Lü, Songhui

doi:10.1016/j.hal.2022.102297

Cited by 30 publications

(24 citation statements)

References 86 publications

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“…Accurate identification of phytoplankton population structure is difficult, especially for small-sized (e.g., picoplankton) or fragile cells. This is a hindrance in studying the spatial and temporal dynamics of phytoplankton assemblages in the natural environment (Hattori et al, 2004;Wang et al, 2022). Traditionally, information on phytoplankton assemblages is determined through the use of taxonomic methods (i.e., microscopic observation and HPLCpigment analyses) (e.g., Hattori et al, 2004;Fujiki et al, 2009;Kwak et al, 2014;Waga et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Many phytoplankton species are fragile and often damaged during the fixation process by Lugol's solution or formalin. Moreover, taxonomic identification is extremely timeconsuming and requires well-trained specialists (Wang et al, 2022). By comparison, HPLC-pigment CHEMTAX analyses are highly efficient in measuring the biomass of different phytoplankton assemblages, including picoplankton and fragile cells (e.g., cryptophytes), in batches.…”

Section: Introductionmentioning

confidence: 99%

“…Our ability to assess the biodiversity of phytoplankton and identify their ecological significance in the marine environment has been enhanced due to the development of molecular biology-based methods (Bik et al, 2012). Based on these modern molecular approaches, phytoplankton assemblages showed much greater diversity across different aquatic environments than was detectable by traditional methods, such as microscopy and HPLC-pigment analyses (Gong et al, 2020;Wang et al, 2022). In particular, DNA metabarcoding methods based on molecular marker amplification and high-throughput sequencing approaches have been rapidly developed in recent years (Gong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…In particular, DNA metabarcoding methods based on molecular marker amplification and high-throughput sequencing approaches have been rapidly developed in recent years (Gong et al, 2020). In numerous studies, the metabarcoding method has been applied widely to investigate phytoplankton communities in various seas, such as the northwestern Pacific Ocean (Wu et al, 2020), South China Sea (Wang et al, 2022), Neuse River Estuary (Gong et al, 2020), and Jiaozhou Bay (Liu et al, 2022). Those studies showed that environmental factors (i.e., environmental selection) and geographical distance (i.e., dispersal limitation) are important factors that shape the phytoplankton community in the ocean, even on a small scale (Wu et al, 2020;Zhang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Those studies showed that environmental factors (i.e., environmental selection) and geographical distance (i.e., dispersal limitation) are important factors that shape the phytoplankton community in the ocean, even on a small scale (Wu et al, 2020;Zhang et al, 2022). In particular, metabarcoding has an extraordinary advantage in distinguishing harmful and/or toxic algal species, some of which are easily missed by microscopic methods (Liu et al, 2022;Wang et al, 2022). Consequently, the metabarcoding approach has expanded our understanding of the relationship between environmental factors and phytoplankton population diversity in the marine environment.…”

Section: Introductionmentioning

confidence: 99%

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Phytoplankton community structure in the Western Subarctic Gyre of the Pacific Ocean during summer determined by a combined approach of HPLC-pigment CHEMTAX and metabarcoding sequencing

Xin

Qin

et al. 2023

Front. Mar. Sci.

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The Western Subarctic Gyre (WSG) is a cyclonic upwelling gyre in the northwest subarctic Pacific, which is a region with a high concentration of nutrients but low chlorophyll. We investigated the community structure and spatial distribution of phytoplankton in this area by using HPLC-pigment CHEMTAX (a chemotaxonomy program) and metabarcoding sequencing during the summer of 2021. The phytoplankton community showed significant differences between the two methods. The CHEMTAX analyses identified eight major marine phytoplankton assemblages. Cryptophytes were the major contributors (24.96%) to the total Chl a, followed by pelagophytes, prymnesiophytes, diatoms, and chlorophytes. The eukaryotic phytoplankton OTUs obtained by metabarcoding were categorized into 149 species in 96 genera of 6 major groups (diatoms, prymnesiophytes, pelagophytes, chlorophytes, cryptophytes, and dinoflagellates). Dinoflagellates were the most abundant group, accounting for 44.74% of the total OTUs obtained, followed by cryptophytes and pelagophytes. Sixteen out of the 97 identified species were annotated as harmful algal species, and Heterocapsa rotundata, Karlodinium veneficum, and Aureococcus anophagefferens were assigned to the abundant group (i.e., at least 0.1% of the total reads). Nutrients were more important in shaping the phytoplankton community than temperature and salinity. The 24 stations were divided into southern and northern regions along 44°N according to the k-means method, with the former being dominated by high Chl a and low nutrients. Although different phytoplankton assemblages analyzed by the two methods showed various relationships with environmental factors, a common feature was that the dinoflagellate proportion showed a significantly negative correlation with low nutrients and a positive correlation with Chl a.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Phytoplankton community structure in the Western Subarctic Gyre of the Pacific Ocean during summer determined by a combined approach of HPLC-pigment CHEMTAX and metabarcoding sequencing

Xin

Qin

et al. 2023

Front. Mar. Sci.

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Metabarcoding analysis identifies high diversity of harmful algal bloom species in the coastal waters of the Beibu Gulf

He,

Yu,

et al. 2023

Ecology and Evolution

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Harmful algal blooms (HABs) have occurred more frequently in recent years. In this study, to investigate their potential impact in the Beibu Gulf, short‐read and long‐read metabarcoding analyses were combined for annual marine phytoplankton community and HAB species identification. Short‐read metabarcoding showed a high level of phytoplankton biodiversity in this area, with Dinophyceae dominating, especially Gymnodiniales. Multiple small phytoplankton, including Prymnesiophyceae and Prasinophyceae, were also identified, which complements the previous lack of identifying small phytoplankton and those unstable after fixation. Of the top 20 phytoplankton genera identified, 15 were HAB‐forming genera, which accounted for 47.3%–71.5% of the relative abundance of phytoplankton. Based on long‐read metabarcoding, a total of 147 OTUs (PID > 97%) belonging to phytoplankton were identified at the species level, including 118 species. Among them, 37 species belonged to HAB‐forming species, and 98 species were reported for the first time in the Beibu Gulf. Contrasting the two metabarcoding approaches at the class level, they both showed a predominance of Dinophyceae, and both included high abundances of Bacillariophyceae, Prasinophyceae, and Prymnesiophyceae, but the relative contents of the classes varied. Notably, the results of the two metabarcoding approaches were quite different below the genus level. The high abundance and diversity of HAB species were probably due to their special life history and multiple nutritional modes. Annual HAB species variation revealed in this study provided a basis for evaluating their potential impact on aquaculture and even nuclear power plant safety in the Beibu Gulf.

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Diversity and distribution characteristics of phytoplankton in typical mariculture bays in northern China

Li,

Liu,

Yan

et al. 2024

J Appl Phycol

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Phytoplankton community and HAB species in the South China Sea detected by morphological and metabarcoding approaches

Cited by 30 publications

References 86 publications

Phytoplankton community structure in the Western Subarctic Gyre of the Pacific Ocean during summer determined by a combined approach of HPLC-pigment CHEMTAX and metabarcoding sequencing

Phytoplankton community structure in the Western Subarctic Gyre of the Pacific Ocean during summer determined by a combined approach of HPLC-pigment CHEMTAX and metabarcoding sequencing

Metabarcoding analysis identifies high diversity of harmful algal bloom species in the coastal waters of the Beibu Gulf

Diversity and distribution characteristics of phytoplankton in typical mariculture bays in northern China

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