ArticleCurrent microbiology2022
Evaluation of Full-Length Versus V4-Region 16S rRNA Sequencing for Phylogenetic Analysis of Mouse Intestinal Microbiota After a Dietary Intervention.
Article in Current microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- How to quantify immigration from community abundance data using the neutral community model.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Unexpected enrichment of antibiotic resistance genes in recirculating aquaculture effluents of rainbow trout (Frontiers in microbiology · 2026Article
- HiMBar: A High-Fidelity Metagenomic Barcoding Approach for Transkingdom Species Detection and Interaction Analysis in Aquatic Ecosystems.Molecular ecology resources · 2026Article
- Abnormal intestinal microbial colonization in prenatally stressed offspring is related to lung and intestinal cytokine expression.Frontiers in microbiology · 2026Article
- Oral Microbiome in Oral Cancer Research from Sampling to Analysis: Strategies, Challenges, and Recommendations.Cancers · 2025Review
- Gut microbiota and host transcriptome interactions reveal diagnostic biomarkers in MASLD-associated hepatocellular carcinoma.Gut pathogens · 2025Article
- The Effect of 2'-Fucosyllactose on Gut Health in Aged Mice.Foods (Basel, Switzerland) · 2025Article
- A strategy to re-sensitise drug-resistant Gram-positive bacteria to oxazolidinone-class antibiotics.EBioMedicine · 2025Article
- Cervicovaginal Microbiome and HPV: A Standardized Approach to 16S/ITS NGS and Microbial Community Profiling for Viral Association.International journal of molecular sciences · 2025Article
- A comparative study: impact of chemical and biological fungicides on soil bacterial communities.Environmental microbiome · 2025Article
- ProbioticAnimals : an open access journal from MDPI · 2025Article
- 16S rRNA metabarcoding applied to the microbiome of insect products (novel food): a comparative analysis of three reference databases.Italian journal of food safety · 2025Article
- Comparative analysis of Illumina, PacBio, and nanopore for 16S rRNA gene sequencing of rabbit's gut microbiota.Frontiers in microbiomes · 2025Article
- Alterations in Gut Microbiota Composition Are Associated with Changes in Emotional Distress in Children with Obstructive Sleep Apnea.Microorganisms · 2024Article
- Diversity of the Obligate Gut Bacteria Indicates Host-Symbiont Coevolution at the Population Level in the Plataspid StinkbugEcology and evolution · 2024Article
- Xylanase enhances gut microbiota-derived butyrate to exert immune-protective effects in a histone deacetylase-dependent manner.Microbiome · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The composition of microbial communities is commonly determined by sequence analyses of one of the variable (V) regions in the bacterial 16S rRNA gene. We aimed to assess whether sequencing the full-length versus the V4 region of the 16S rRNA gene affected the results and interpretation of an experiment. To test this, mice were fed a diet without and with the prebiotic inulin and from cecum samples, two primary data sets were generated: (1) a 16S rRNA full-length data set generated by the PacBio platform; (2) a 16S rRNA V4 region data set generated by the Illumina MiSeq platform. A third derived data set was generated by in silico extracting the 16S rRNA V4 region data from the 16S rRNA full-length PacBio data set. Analyses of the primary and derived 16S rRNA V4 region data indicated similar bacterial abundances, and α- and β-diversity. However, comparison of the 16S rRNA full-length data with the primary and derived 16S rRNA V4 region data revealed differences in relative bacterial abundances, and α- and β-diversity. We conclude that the sequence length of 16S rRNA gene and not the sequence analysis platform affected the results and may lead to different interpretations of the effect of an intervention that affects the microbiota.
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