ArticleBioengineering (Basel, Switzerland)2022
Microbiome Analysis via OTU and ASV-Based Pipelines-A Comparative Interpretation of Ecological Data in WWTP Systems.
Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed.
- Baseline intestinal microbiota composition influences response to a real-world dietary fiber intervention.NPJ biofilms and microbiomes · 2025Trial
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- Sex- and Age-Dependent Neuroimmune Dysregulation and Early Neurodegenerative Signatures Following SARS-CoV-2 Infection in Golden Syrian Hamsters.Research square · 2026Article
- Attenuation ofJournal of microbiology and biotechnology · 2026Article
- Characterization and comparative analysis of urinary bacterial microbiome profiling in healthy cats and cats with feline idiopathic cystitis.Scientific reports · 2026Article
- Benthic Microbial Community Features and Environmental Correlates in the Northwest Pacific Polymetallic Nodule Field, with Comparative Analysis Across the Pacific.Microorganisms · 2026Article
- Microbiome-Driven Mechanisms in Breast Cancer: Emerging Evidence From Gut Microbial Signatures to Therapeutic Response.BioMed research international · 2026Review
- Metagenomic Data Preprocessing and Quality Control.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A New Unsupervised Machine Learning Method for Metabarcoding Analysis Based on Selected Mock Community Data.Computational and structural biotechnology journal · 2026Article
- The role ofFrontiers in oral health · 2026Review
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- Oral Microbiome in Oral Cancer Research from Sampling to Analysis: Strategies, Challenges, and Recommendations.Cancers · 2025Review
- Exploring the Regional Diversity of Eukaryotic Phytoplankton in the English Channel by Combining High-Throughput Approaches.MicrobiologyOpen · 2025Article
- Lactulose selectively stimulates members of the gut microbiota, as determined by multi-modal activity-based sorting.Gut microbes · 2025Article
- Review
- The gut microbial composition is different in chronic fatigue syndrome than in healthy controls.Scientific reports · 2025Article
- Article
- Fungus-infected Meiogyne flowers offer a brood site for beetle pollinators in a tripartite nursery pollination system.Annals of botany · 2025Article
- Prenatal PFAS exposure and outcomes related to maternal gut microbiome composition in later pregnancy.Environmental research · 2025Article
- Distinguishing critical microbial community shifts from normal temporal variability in human and environmental ecosystems.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Linking community composition and ecosystem function via the cultivation-independent analysis of marker genes, e.g., the 16S rRNA gene, is a staple of microbial ecology and dependent disciplines. The certainty of results, independent of the bioinformatic handling, is imperative for any advances made within the field. In this work, thermophilic anaerobic co-digestion experimental data, together with primary and waste-activated sludge prokaryotic community data, were analyzed with two pipelines that apply different principles when dealing with technical, sequencing, and PCR biases. One pipeline (VSEARCH) employs clustering methods, generating individual operational taxonomic units (OTUs), while the other (DADA2) is based on sequencing error correction algorithms and generates exact amplicon sequence variants (ASVs). The outcomes of both pipelines were compared within the framework of ecological-driven data analysis. Both pipelines provided comparable results that would generally allow for the same interpretations. Yet, the two approaches also delivered community compositions that differed between 6.75% and 10.81% between pipelines. Inconsistencies were also observed linked to biologically driven variability in the samples, which affected the two pipelines differently. These pipeline-dependent differences in taxonomic assignment could lead to different conclusions and interfere with any downstream analysis made for such mis- or not-identified species, e.g., network analysis or predictions of their respective ecosystem service.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.