Mapping harmful microalgal species by eDNA monitoring : A large-scale survey across the southwestern South China Sea
A large-scale sampling was undertaken during a research cruise across the South China Sea in August 2016, covering an area of about 100,000 km2 to investigate the molecular diversity and distributions of microeukaryotic protists, with a focus on the potentially harmful microalgal (HAB) species alon...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier B.V.
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/44743/1/Mapping%20harmful.pdf http://ir.unimas.my/id/eprint/44743/ https://www.sciencedirect.com/science/article/abs/pii/S1568988323001415 https://doi.org/10.1016/j.hal.2023.102515 |
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| Summary: | A large-scale sampling was undertaken during a research cruise across the South China Sea in August 2016,
covering an area of about 100,000 km2 to investigate the molecular diversity and distributions of microeukaryotic protists, with a focus on the potentially harmful microalgal (HAB) species along the east coast of Peninsular Malaysia. Environmental DNAs from 30 stations were extracted and DNA metabarcoding targeting the V4 and V9 markers in the 18S rDNA was performed. Many protistan molecular units, including previously unreported HAB taxa, were discovered for the first time in the water. Our findings also revealed interesting spatial distribution patterns, with a marked signal of compositional turnover between latitudinal regimes of water masses, where dinophytes and diatom compositions were among the most strongly enhanced at the fronts,
leading to distinct niches. Our results further confirmed the widespread distribution of HAB species, such as the
toxigenic Alexandrium tamiyavaichii and Pseudo-nitzschia species, and the fish-killing Margalefidinium polykrikoides
and Karlodinium veneficum. The molecular information obtained from this study provides an updated HAB species
inventory and a toolset that could facilitate existing HAB monitoring schemes in the region to better inform
management decisions. |
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