ArticleFrontiers in microbiology2019
Metabarcoding Insights Into the Trophic Behavior and Identity of Intertidal Benthic Foraminifera.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 59 citations in OpenAlex.
- Unravelling Evolutionary and Ecological Insights of Foraminifera by Using Next Generation Sequencing: A Review.Biochemical genetics · 2026Review
- Foraminifera as indicators of species invasion:Science advances · 2025Article
- Metabarcoding reveals high diversity of benthic foraminifera linked to water masses circulation at coastal Svalbard.Geobiology · 2023Article
- Trophic strategies of intertidal foraminifera explored with single-cell microbiome metabarcoding and morphological methods: What is on the menu?Ecology and evolution · 2022Article
- Article
- 16S rRNA Gene Metabarcoding Indicates Species-Characteristic Microbiomes in Deep-Sea Benthic Foraminifera.Frontiers in microbiology · 2021Article
- Article
- Heterotrophic Foraminifera Capable of Inorganic Nitrogen Assimilation.Frontiers in microbiology · 2020Article
- Enrichment of intracellular sulphur cycle -associated bacteria in intertidal benthic foraminifera revealed by 16S and aprA gene analysis.Scientific reports · 2019Article
- Metabolic Adaptations of Benthic Forams: Foraminiferal Species Adaptations to Intertidal Mudflat Assessed by a Metabolic Approach.The Journal of eukaryotic microbiologyArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foraminifera are ubiquitous marine protists with an important role in the benthic carbon cycle. However, morphological observations often fail to resolve their exact taxonomic placement and there is a lack of field studies on their particular trophic preferences. Here, we propose the application of metabarcoding as a tool for the elucidation of the
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Registered trials
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