Shallow shotgun metagenome sequencing (SSMS) represents a streamlined approach to microbial community analysis by sequencing samples at a reduced depth compared to deep shotgun metagenomics. This method enhances cost-efficiency by amalgamating multiple samples within a single sequencing run and utilizing a simplified protocol that reduces reagent volumes for library preparation. SSMS effectively delivers comprehensive compositional and functional insights akin to those from deep sequencing, making it highly suitable for expansive studies that necessitate a judicious balance between the scope and resolution of microbial data.
Shallow Shotgun Metagenomics is a cutting-edge sequencing approach designed to provide a broad and detailed overview of microbial communities by sequencing samples at a relatively lower depth compared to deep shotgun sequencing. Utilizing fewer sequencing reads and optimized sample preparation, SSMS offers a cost-effective alternative that maintains high resolution for microbial community analysis, delivering insights into both the taxonomic composition and functional capabilities of the microbiome.
SSMS involves sequencing samples with a lower read depth, typically ranging from 2 to 5 million reads per sample. This approach provides a cost-effective means of obtaining a comprehensive overview of microbial communities, offering reasonable taxonomic resolution, often down to the species or strain level. SSMS is particularly suitable for large-scale studies where budget constraints are significant.
In contrast, deep shotgun sequencing entails a higher read depth, generally exceeding 10 million reads per sample. This method delivers an extensive and detailed characterization of microbial communities, enabling more precise species and strain-level identification as well as comprehensive functional gene analysis. Deep sequencing is often employed in studies requiring high resolution and extensive data, such as biomarker discovery. However, it is more expensive and less feasible for large-scale projects.
16S rRNA gene amplicon sequencing targets specific regions of the 16S ribosomal RNA gene to classify microbial communities. While this method is cost-effective and suitable for large cohorts, it generally provides taxonomic resolution only up to the genus level and offers limited functional insights. In contrast, SSMS delivers more detailed taxonomic and functional data, comparable to deep shotgun sequencing but at a lower cost.
SSMS is a robust tool for microbial community analysis across various research areas. This method is particularly effective for:
At CD Genomics, our SSMS services provide a powerful and cost-effective solution for comprehensive microbial community analysis. Utilizing advanced sequencing technologies, we achieve approximately 3 million reads per sample, ensuring balanced depth for precise taxonomic classification and functional profiling. Our meticulous post-sequencing data processing, including contamination removal and mapping against curated databases, delivers high-resolution microbial profiles. The resulting bioinformatics analysis offers detailed taxonomic and functional insights, enhanced by interactive visualizations and advanced diversity metrics, tailored to support a wide range of research needs.
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Partial results of our shallow shotgun metagenome sequencing service are shown below:
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Shallow shotgun sequencing reduces technical variation in microbiome analysis
Journal: Scientific Reports
Impact factor: 3.8
Published: 11 May 2023
Backgrounds
The human gut microbiome, linked to various diseases, exhibits significant variability. 16S rRNA sequencing offers broad but less detailed microbial insights, while deep shotgun sequencing provides detailed profiles but is costly. Shallow shotgun sequencing balances cost and resolution, providing detailed data similar to deep sequencing. This study compares shallow shotgun sequencing to 16S to evaluate its effectiveness for accurate microbiome analysis.
Methods
Sample preparation:
Method:
Results
Shallow Shotgun Sequencing (SS) provides more precise microbiome profiles compared to 16S sequencing, with better resolution at the species level and higher concordance in taxonomic classification.
Fig 1. Area plots depicting individualized microbiome profiles at the genus level for the five subjects across their respective sampling periods on the x-axis (days).
SS sequencing mirrors taxonomic variation in functional profiles, capturing significant differences in microbial functional composition between individuals and across sampling times.
Fig 2. Principal coordinates analysis (PCoA) plot showing the Bray–Curtis dissimilarity of KEGG Enzyme profiles between all samples from SS sequencing.
SS sequencing demonstrates lower technical variation compared to 16S sequencing, with more consistent results in library preparation and DNA extraction processes.
Conclusions
Shallow shotgun sequencing (SS) offers more precise species-level classifications and functional profiles compared to 16S amplicon sequencing, which generally only resolves taxa to the genus level. SS also demonstrates higher reproducibility and lower technical variation, effectively distinguishing biological variation from technical noise. However, SS is less suitable for low-biomass samples and cannot fully replace deep sequencing for discovering new strains or genes.
Reference
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