ArticleApplied microbiology and biotechnology2022
Comparison of iSeq and MiSeq as the two platforms for 16S rRNA sequencing in the study of the gut of rat microbiome.
Article in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed, 18 citations in OpenAlex.
- Comparative analysis of MinION and MiSeq using 16S rRNA gene amplicon sequencing in human gut microbiome.BMC biotechnology · 2026Article
- Metagenomic Exploration of the Bacteriome Reveals Natural Wolbachia Infections in Yellow Fever Mosquito Aedes aegypti and Asian Tiger Mosquito Aedes albopictus.Current microbiology · 2026Article
- Illumina MiSeq and iSeq platforms yield comparable results for viral genomic sequencing.Journal of virological methods · 2025Article
- Comparison of Next-Generation Sequencing, Real-Time PCR and HRM-PCR forMicroorganisms · 2025Article
- Do we need a standardized 16S rRNA gene amplicon sequencing analysis protocol for poultry microbiota research?Poultry science · 2025Review
- Impacts of Tick Parasitism on the Rodent Gut Microbiome.Microorganisms · 2025Article
- Network analyses unraveled the complex interactions in the rumen microbiota associated with methane emission in dairy cattle.Animal microbiome · 2025Article
- Quantifying variation across 16S rRNA gene sequencing runs in human microbiome studies.Applied microbiology and biotechnology · 2024Article
- Unveiling microbial diversity: harnessing long-read sequencing technology.Nature methods · 2024Review
- The Impact of ProbioticLife (Basel, Switzerland) · 2024Review
- Usefulness of Molecular Methods forInternational journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Amplicon-based next-generation sequencing (NGS) of the 16S ribosomal RNA (16S) regions is a culture-free method used to identify and analyze Procaryota occurring within a given sample. The prokaryotic 16S rRNA gene contains conserved regions and nine variable regions (V1-V9) frequently used for phylogenetic classification of genus or species in diverse microbial populations. This work compares the accuracy and efficacy of two platforms, iSeq and MiSeq from Illumina, used in sequencing 16S rRNA. The most important similarities and differences of 16S microbiome sequencing in 20 fecal rat samples were described. Genetic libraries were prepared according to 16S Metagenomic Sequencing Library Preparation (Illumina) for the V3 and V4 regions of the 16S. The species richness obtained using iSeq technology was lower compared to MiSeq. At the second taxonomy level (L2), the abundance of taxa was comparable for both platforms. At the L7, the taxa abundance was significantly different, and the number of taxa was higher for the MiSeq. The alpha diversity was lower for iSeq than for MiSeq, starting from the order to the species level. The beta diversity estimation revealed statistically significant differences in microbiota diversity starting from the class level to the species level in samples sequenced on two investigated platforms. This work disclosed that the iSeq platform could be used to evaluate the bacterial profile of the samples to characterize the overall profile. The MiSeq System seems to be better for a detailed analysis of the differences in the microbiota composition. KEY POINTS: • iSeq platform allows to shorten the sequencing time three times compared to the MiSeq. • iSeq can only be used for an initial and quick microbiome assessment. • MiSeq is better for a detailed analysis of the differences in the microbiota composition.
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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.