Shotgun Metagenomics
The complete genetic information of a sample
Shotgun metagenomics targets all the microbial genetic information contained in a sample, enabling the functional and taxonomic characterization of microbial communities. All bacteria, viruses, fungi and other microbial domains are identified by a single sequence. Unlike metabarcoding, Shotgun metagenomics is based on all areas of the genome, enabling precise taxonomic identification down to species level. It therefore provides a comprehensive overview of the microbiome’s composition and diversity of functions.
- Characterize all microorganisms, such as viruses, by sequencing with universal primers
- Combine taxonomy and function of microbial species
- Obtain relative abundance levels of microbial species that are difficult or impossible to grow in the laboratory
- Analyze the relative abundance of microbial species in the natural habitat
- Profile the functional characteristics of a particular microbiome
- Monitor changes in microbial community composition under variable environmental conditions
- Observe changes in the relative abundance of microorganisms under varying conditions or stresses
- Discover new biomarkers for diversity or function quantification
The Metys GeT-IT team works with a wide variety of samples, including: Water, air, soil, plants, seeds, food matrices, microbial consortia, swabs (skin, environmental/surface), previously extracted DNA.
Our Tools
- Illumina Miseq
- Illumina NovaSeq
- PacBio Sequel II
- AVITI Element Biosciences
Our Deliverables
- Taxonomic composition
- Raw data : fasta and fasta.gz formats
- Abundance tables that combine samples, taxonomy and abundance for each OTU to generate figures and interpret data yourself: Excel format
- Diversity indices and rarefaction curves
- An interactive report to export graphs and tables according to your needs: .html format
- Functional composition
- KEGG annotation tables (.tsv) and graphs (.png)
- Correlation plots (.png)
- Resistome
- Antibiotic resistance and virulence tables (.tsv) and graphs (.png)
- Correlation plots (.png)