ArticleScientific reports2018
Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Dynamic stressor regimes drive shifts in biofilm-associated parasites.Parasitology research · 2026Article
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- New prospects of environmental RNA metabarcoding research in biological diversity, ecotoxicological monitoring, and detection of COVID-19: a critical review.Environmental science and pollution research international · 2024Review
- Transition of an estuarine benthic meiofauna assemblage 1.7 and 2.8 years after a mining disaster.PeerJ · 2023Article
- Monitoring of benthic eukaryotic communities in two tropical coastal lagoons through eDNA metabarcoding: a spatial and temporal approximation.Scientific reports · 2022Article
- Seed quantity affects the fungal community composition detected using metabarcoding.Scientific reports · 2022Article
- Phytoplankton settling quality has a subtle but significant effect on sediment microeukaryotic and bacterial communities.Scientific reports · 2021Article
- Effects of Recreational Boating on Microbial and Meiofauna Diversity in Coastal Shallow Ecosystems of the Baltic Sea.mSphere · 2021Article
- Eukaryotic communities in coastal water from Shenzhen in South China.Ecotoxicology (London, England) · 2021Article
- Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap.Molecular ecology · 2021Review
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- Meiofauna improve oxygenation and accelerate sulfide removal in the seasonally hypoxic seabed.Marine environmental research · 2020Article
- Detection of introduced and resident marine species using environmental DNA metabarcoding of sediment and water.Scientific reports · 2019Article
- Salinity drives meiofaunal community structure dynamics across the Baltic ecosystem.Molecular ecology · 2019Article
- Microbial Metazoa Are Microbes Too.mSystems · 2019Article
- Optimizing environmental DNA sampling effort for fish inventories in tropical streams and rivers.Scientific reports · 2019Article
- Chronic trace metals effects of mine tailings on estuarine assemblages revealed by environmental DNA.PeerJ · 2019Article
- Above-below surface interactions mediate effects of seagrass disturbance on meiobenthic diversity, nematode and polychaete trophic structure.Communications biology · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how biodiversity changes in time and space is vital to assess the effects of environmental change on benthic ecosystems. Due to the limitations of morphological methods, there has been a rapid expansion in the application of high-throughput sequencing methods to study benthic eukaryotic communities. However, the effect of sample size and small-scale spatial variation on the assessment of benthic eukaryotic diversity is still not well understood. Here, we investigate the effect of different sample volumes in the genetic assessment of benthic metazoan and non-metazoan eukaryotic community composition. Accordingly, DNA was extracted from five different cumulative sediment volumes comprising 100% of the top 2 cm of five benthic sampling cores, and used as template for Ilumina MiSeq sequencing of 18 S rRNA amplicons. Sample volumes strongly impacted diversity metrics for both metazoans and non-metazoan eukaryotes. Beta-diversity of treatments using smaller sample volumes was significantly different from the beta-diversity of the 100% sampled area. Overall our findings indicate that sample volumes of 0.2 g (1% of the sampled area) are insufficient to account for spatial heterogeneity at small spatial scales, and that relatively large percentages of sediment core samples are needed for obtaining robust diversity measurement of both metazoan and non-metazoan eukaryotes.
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