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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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fluidigm fungal its rrna genes
Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Illumina Inc fungal its rrna genes
Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + <t>ITS1</t> amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types
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Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + ITS1 amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types

Journal: Microbiome

Article Title: Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women

doi: 10.1186/s40168-024-01993-9

Figure Lengend Snippet: Bacterial relative abundances. Comparison of bacterial compositions derived from the combined 16S rRNA gene + ITS1 amplicon run (MiSeq, lower panel) versus a conventional 16S rRNA gene amplicon sequencing run (HiSeq, upper panel). Cyan dots represent the per sample Pearson’s correlations between the bacterial profiles derived from the two run types

Article Snippet: Previously, Kittelman et al. reported a pyrosequencing approach that combined analysis of phylogenetic marker genes for bacteria, archaea, and eukaryotic micro-organisms in ruminal samples, and Coller et al. combined 16S rRNA gene and fungal ITS1 amplicons to an Illumina MiSeq run to study soil samples [ , ].

Techniques: Comparison, Derivative Assay, Amplification, Sequencing

Comparison of the bacterial compositions derived from different runs, annotation tools and databases for a subset of 21 vaginal samples. Data from the combined 16S rRNA gene + ITS1 sequencing was annotated with the taxminer pipeline and dada2 ‘assignTaxonomy’ with the Silva and RDP databases. Shotgun metagenome data (Illumina) of the same samples was annotated with MetaPhlAn, Kraken + bracken (w/ PlusPF database) and VIRGO database as indicated on top of the panels

Journal: Microbiome

Article Title: Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy women

doi: 10.1186/s40168-024-01993-9

Figure Lengend Snippet: Comparison of the bacterial compositions derived from different runs, annotation tools and databases for a subset of 21 vaginal samples. Data from the combined 16S rRNA gene + ITS1 sequencing was annotated with the taxminer pipeline and dada2 ‘assignTaxonomy’ with the Silva and RDP databases. Shotgun metagenome data (Illumina) of the same samples was annotated with MetaPhlAn, Kraken + bracken (w/ PlusPF database) and VIRGO database as indicated on top of the panels

Article Snippet: Previously, Kittelman et al. reported a pyrosequencing approach that combined analysis of phylogenetic marker genes for bacteria, archaea, and eukaryotic micro-organisms in ruminal samples, and Coller et al. combined 16S rRNA gene and fungal ITS1 amplicons to an Illumina MiSeq run to study soil samples [ , ].

Techniques: Comparison, Derivative Assay, Sequencing