16S and Internal Transcribed Spacer (ITS) ribosomal RNA (rRNA) sequencing are common amplicon sequencing methods used to identify and compare bacteria or fungi present within a given sample. NGS-based ITS and 16S rRNA gene sequencing are well-established methods for comparing sample phylogeny and taxonomy from complex microbiomes or environments that are difficult or impossible to study.
The prokaryotic 16S rRNA gene is approximately 1500 bp long, with nine variable regions interspersed between conserved regions. Variable regions of the 16S rRNA gene are frequently used for phylogenetic classification of genus or species in diverse microbial populations.1 The ITS1 region of the rRNA cistron is a commonly used DNA marker for identifying fungal species in metagenomic samples.2
Using the 16S metagenomics workflow with the iSeq 100 System, you can achieve genus-level sensitivity for surveys of bacterial populations.
A key benefit of 16S and ITS ribosomal RNA NGS methods is that they provide a cost-effective technique to identify strains that may not be found using traditional methods. Unlike capillary sequencing or PCR-based approaches, next-generation sequencing is a culture-free method that enables analysis of the entire microbial community within a sample. Furthermore, NGS offers the ability to combine multiple samples in a sequencing run.
Get genus level detection of fungi in diverse sample types with the ITS metagenomics workflow.
A key benefit of 16S and ITS ribosomal RNA NGS methods is that they provide a cost-effective technique to identify strains that may not be found using traditional methods. Unlike capillary sequencing or PCR-based approaches, next-generation sequencing is a culture-free method that enables analysis of the entire microbial community within a sample. Furthermore, NGS offers the ability to combine multiple samples in a sequencing run.
Get genus level detection of fungi in diverse sample types with the ITS metagenomics workflow.
All the information you need, from library preparation to final data analysis. Select the best tools for a broad range of microbiology applications for your laboratory.
Access GuideThe Saca la Lengua project used 16S and 18S rRNA sequencing to identify the bacteria and fungi that live in the human mouth.
Read InterviewMichael Bunce, PhD uses next-generation sequencing and metabarcoding methods to study environmental DNA (eDNA).
Read InterviewPhil Hugenholtz, PhD explains the difference between 16S rRNA and shotgun metagenomic sequencing, and describes how NGS has made a difference in his research.
Read InterviewView a demonstrated protocol and FAQs for bacterial 16S rRNA amplicon sequencing, as well as example data sets from libraries generated with the protocol and run on the MiSeq System.
View ProtocolView a demonstrated protocol for analyzing fungal or metagenomic samples that includes primer sequences and provides a recommended data analysis workflow.
View ProtocolMetagenomics is one of the fastest-growing scientific disciplines. This document highlights peer-reviewed publications that apply Illumina sequencing technologies to metagenomics research.
Access PDFIllumina offers products to support NGS-based 16S and ITS rRNA analysis studies, from library preparation to data analysis and interpretation. Our user-friendly workflow can help take the guesswork out of your experiments.
Click on the below to view products for each workflow step.
Multiplex samples to drive greater sample throughput.
Speed, accuracy and simplicity for far-reaching applications in microbiology.
iSeq 100 SystemAffordable, fast, and accessible sequencing power for targeted or small genome sequencing in any lab.
Improved chemistry to increase cluster density and read length. The 600 cycle kit is ideal for 16S rRNA sequencing.
MiSeq v2 Reagent KitsProduce up to 7.5 Gb of data. The 500 cycle kit allows for 16S rRNA sequencing with up to 15 million reads.
BaseSpace Apps for taxonomic classification
16S MetagenomicsPerforms taxonomic classification of 16S rRNA targeted amplicon reads using an Illumina-curated version of the GreenGenes taxonomic database.
Kraken MetagenomicsAssigns taxonomic labels to short DNA sequences with high sensitivity and speed using exact alignments of k-mers and a novel classification algorithm.
ITS MetagenomicsPerforms taxonomic classification of fungal rRNA targeted amplicon reads using the UNITE taxonomic database.
The Metagenomic Phylogenetic Analysis (MetaPhlAn) tool profiles microbial community composition from metagenomic shotgun sequencing data.
QIIME PreprocessingQuantitative Insights into Microbial Ecology (QIIME) is designed to take users from raw sequencing data to publication quality graphics and statistics.
One CodexEnables metagenomics analysis by rapidly assessing your samples from BaseSpace Sequence Hub with a fast, comprehensive, accurate data platform.
This method involves comprehensively sampling all genes in all organisms present in a given complex sample. It allows microbiologists to evaluate bacterial diversity and detect the abundance of microbes in various environments.
Learn MoreeDNA sequencing is an emerging method for studying biodiversity and monitoring ecosystem changes. For some sample types, using a combination of 16S or ITS sequencing with other approaches can help uncover the full breadth of diversity in an ecological sample.
Learn MoreIllumina NGS is enabling "citizen science" metagenomics studies of the human microbiome.
A detailed look at our demonstrated 16S rRNA analysis workflow, including data visualization and success stories.
Host genetic differences and individual responses to the SARS-CoV-2 virus play a part in disease susceptibility and severity.