Frequently Asked Questions
1. What is 16S metagenomics?
16S metagenomics is a technique that uses next generation amplicon sequencing to target specific hypervariable regions of the 16S rRNA gene.
2. How is 16S metagenomics used?
16S metagenomics is used to identify the type and relative abundance of bacterial and archaeal species within a sample. This is a very effective technique when dealing with heterogeneous samples, such as soil or gut/other microbiome.
3. How is 16S MetaVx™ Sequencing different from current 16S metagenomics methods?
Current 16S metagenomics techniques use a single primer pair to target the hypervariable V4 region of the 16S rRNA gene. 16S MetaVx™ improves on this with a unique primer design that targets the hypervariable V3, V4, and V5 regions of the 16S rRNA gene.
In an analysis comparing 16S MetaVx™ to current 16S metagenomics, 16S MetaVx™ demonstrated a higher sensitivity and specificity, identifying more bacterial and archaeal genera consistently across numerous samples.
Additionally, current 16S metagenomics techniques require 15% or more DNA spike-in in order to combat the low sequence diversity inherent in their amplicon designs. This sequesters a significant amount of sequencing throughput with off-target coverage. Due the unique design of 16S MetaVx™, no DNA spike-in is required, dedicating the full sequencing throughput to the target regions only.
4. Does GENEWIZ offer whole genome shotgun metagenomics?
Yes, please contact our NGS team (NGS@genewiz.com) for further details.
5. What starting materials do you accept?
GENEWIZ accepts genomic DNA*, fresh frozen tissue, environmental samples (water, soil, etc.), cell pellets, stool, pre-made libraries, and custom sample types by request.*Genomic DNA submissions can be as low as 100 ng of your precious samples. Recommended amount is 2 μg.
6. What Bioinformatics analysis options are available?
We provide raw data as FASTQ files for all projects. We also have advanced bioinformatics capabilities** to provide optional data analysis services, including:
- MetaVx 2.0 bioinformatics analysis uses the Quantitative Insights into Microbial Ecology (QIIME) software suite allowing for better qualitative and quantitative analyses of the composition of microbial communities. The report includes the following analyses, figures, and tables: