ArticleScientific reports2024
A comparison of two gene regions for assessing community composition of eukaryotic marine microalgae from coastal ecosystems.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Citizen Sailors Provide a Detailed Map of Open-Ocean Surface Biodiversity and Help Link eDNA Data to Satellite Observations.Molecular ecology · 2026Article
- Phytoplankton Diversity in the Northern Adriatic Sea: Insights and Inconsistencies from Microscopy and Metabarcoding.Biology · 2026Article
- Tropics to the Poles: A Snapshot of Coastal Eukaryotic Marine Microalgal Diversity Across Five Ecoregions.Molecular ecology · 2025Article
- Prokaryotic and Eukaryotic Community Succession and Potential Parasitic Interactions During TwoToxins · 2025Article
- What is Fragilaria koensabbei and does it matter what it is called? (Meta)barcoding and the science of taxonomy.Journal of phycology · 2025Review
- A glimpse into the future: How the timing of sea ice formation influences associated microalgal communities.iScience · 2025Article
- Morphological and Molecular Diversity of Phytoplankton in Beibu Gulf, Northern South China Sea.Ecology and evolution · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Two gene regions commonly used to characterise the diversity of eukaryotic communities using metabarcoding are the 18S ribosomal DNA V4 and V9 gene regions. We assessed the effectiveness of these two regions for characterising diverisity of coastal eukaryotic microalgae communities (EMCs) from tropical and temperate sites. We binned amplicon sequence variants (ASVs) into the high level taxonomic groups: dinoflagellates, pennate diatoms, radial centric diatoms, polar centric diatoms, chlorophytes, haptophytes and 'other microalgae'. When V4 and V9 generated ASV abundances were compared, the V9 region generated a higher number of raw reads, captured more diversity from all high level taxonomic groups and was more closely aligned with the community composition determined using light microscopy. The V4 region did resolve more ASVs to a deeper taxonomic resolution within the dinoflagellates, but did not effectively resolve other major taxonomic divisions. When characterising these communities via metabarcoding, the use of multiple gene regions is recommended, but the V9 gene region can be used in isolation to provide high-level community biodiversity to reflect relative abundances within groups. This approach reduces the cost of sequencing multiple gene regions whilst still providing important baseline ecosystem function information.
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