CD Genomics provides high-resolution microbial identification using NGS technologies. Our service employs 16S/18S/ITS and metagenomic sequencing to accurately identify and characterize diverse microbial communities, including bacteria, archaea, fungi, and viruses. Advanced sequencing platforms ensure precise results and comprehensive analysis.
Next-Generation Sequencing (NGS) ushers in a transformative era for microbiology by enabling a comprehensive analysis of microbial communities. This technology bypasses traditional methods, providing a direct and detailed view of microbial DNA without the need for extensive culturing processes.
NGS revolutionizes the realm of bacterial identification, unveiling the intricate tapestry of microbial species within a sample. Leveraging the robust analytical capabilities of the 16S rRNA gene, a highly conserved genetic marker ubiquitous in bacteria, NGS facilitates precise differentiation among a diverse array of bacterial taxa.
Pros
Cons
The applications of NGS-based microbial identification include, but are not limited to, the following areas:
CD Genomics offers advanced NGS-based microbial identification services, utilizing 16S/18S/ITS sequencing and shotgun metagenomic sequencing. Our services deliver precise taxonomic classification of microbial species in diverse communities and facilitate evolutionary and network analysis.
16S/18S/ITS sequencing provides high-resolution species identification for bacteria, archaea, and fungi, leveraging long-read sequencing technologies like PacBio SMRT and nanopore sequencing for detailed strain-level resolution.
Metagenomics enables comprehensive profiling by analyzing all microbial genomes in a sample, including bacteria, eukaryotes, viruses, and pathogens. This approach surpasses traditional 16S/18S/ITS sequencing in sensitivity, ensuring accurate detection of even rare microbial members.
16S/18S/ITS sequencing data analysis includes the following:
Metagenomics sequencing data analysis mainly includes the following:
Note: The above content includes only a portion of the bioinformatics analysis. For more information or to customize the analysis, please contact us directly.
16S/18S/ITS sequencing data analysis pipeline:
Metagenomics sequencing data analysis pipeline:
For 16S/18S/ITS sequencing:
For metagenomics sequencing:
Note: If you wish to obtain more accurate and detailed information regarding sample requirements, please feel free to contact us directly.
Partial results of our NGS-based microbial identification service are shown below:
Nutrient structure dynamics and microbial communities at the water–sediment interface in an extremely acidic lake in northern Patagonia
Journal: Frontiers in Microbiology
Impact factor: 4.0
Published: 12 February 2024
Background
Bacterial communities in aquatic systems are vital for nutrient cycling and energy flow. They affect organic matter decomposition and element cycling at the sediment-water interface. Freshwater sediments, with high microbial biomass and diversity, play a key role in nutrient transformation. This study used 16S rRNA gene sequencing and metagenomic sequencing to analyze microbial diversity and nutrient dynamics in Lake Caviahue, focusing on bacterial roles in phosphorus cycling and community variations across different lake strata.
Materials & Methods
Sample preparation:
Method:
Data Analysis:
Results
In acidic Lake Caviahue, microbial biomass and diversity are higher in the bottom strata compared to the upper layers. The average microbial abundance was significantly greater in the metalimnion and bottom layer than in the epilimnion. Using targeted metagenomic analysis, it was found that microbial diversity increases from the top to the bottom strata. A microcosm bioassay showed that sediment and pore water bacteria contribute to nutrient retention and release, with significant differences in microbial community structure and diversity between test and control columns. Despite initial differences in microbial load, both columns showed increased microbial growth and similar trends in nutrient utilization over time.
Figure 1. Contribution of sediment and pore water bacterial community to nutrient recirculation of Lake Caviahue.
Figure 2. Conceptual model of the biogeochemical cycling of nutrients, sulfur, and iron at the sediment-water interphase of Lake Caviahue.
Conclusions
In Lake Caviahue, bacterial abundance and diversity are highest in the bottom strata and peak in autumn. Seasonal changes affect pH, temperature, and nutrient levels. Both bacteria and algae influence nutrient cycling, with a significant syntrophic relationship between them. Sediment microorganisms play a key role in nutrient utilization and mobilization.
References
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