16S/ITS/18S Gene Sequencing
16S rRNA gene sequencing is a powerful, accurate and rapid strategy for bacterial, fungal or viral analysis. CMDC Labs’ technical experts will analyze the 16S rRNA gene sequence isolated from microorganism samples. Taxonomical identification, analyzing the bacteria down to the genus and species level (depending on sample complexity and bacteria diversity) and quantitative estimates are provided following identification with our verified gene sequencing library. 16S rRNA gene sequencing analysis is a quick, reliable and cost-effective method for identifying bacteria or populations of bacteria.
16S/ITS/18S Gene Sequencing Service
CMDC Labs has established a 16S/ITS/18S Superior Sequencing Technology (SST) platform, which has provided support and assistance in microorganism identification and microbial analysis from a number of different starting samples including water, soil, food, pro and prebiotics (e.g., fermentation analysis, feed research, etc.), medical device contamination, personal care products, diagnostic (e.g., pathogenic microorganism detection and research), etc. Our lab has an experienced sequencing technology team and many outstanding bioinformatics experts; they can provide customers with efficient and reliable 16S/18S/ITS sequencing services.
The 16S rRNA gene contains approximately 1550 base pairs that encode the small ribosomal subunit rRNA of bacteria and consists of conserved and variable regions which are used for microbial identification. By amplifying and sequencing variable regions of the 16S gene, bacteria of different populations in a sample (e.g., genera and species) can be illuminated and identified. 16S rRNA analysis is commonly used in microbiology to produce taxonomical assignments and estimate the copiousness of microorganisms in microbial communities. This is a technology commonly used for bacterial identification and profiling, which can rapidly and accurately classify and identify one or more species or genera of bacteria in a single sample. In addition to identifying microbial contamination in medical device, agricultural, pharmaceutical, food or personal care products, the 16S gene sequencing method can be used to analyze human flora, including the gut flora, oral flora, vagina flora, etc., in addition to complex microbial communities that exist in soil and water samples.
The ITS region of the rRNA is a common marker used for target amplification and sequencing of fungal populations. There are two ITS regions in eukaryotes. ITS1 is located between the 18S and 5.8S rRNA genes and ITS2 is located between the 5.8S and 28S rRNA genes. The size of ITS is smaller than that of the 18S rRNA gene and it is easy to analyze. Sequencing of ITS1 or ITS2 can identify and distinguish strains with comparatively close relationships and can also be used to analyze the diversity of fungi in microbial communities.
The 18S rRNA gene contains about 1800 base pairs that code the small ribosomal subunit rRNA of eukaryotes and consists of preserved and variable regions which are used for identifying fungal species. By amplifying and sequencing variable regions of the 18S gene, fungi of different populations in a sample (e.g., species and genera) can be distinguished and identified.
ITS and 18S sequencing are technologies commonly used for fungal identification and profiling, which can accurately and rapidly classify and identify one or more species or genera of fungi in a single sample. In addition to identifying microbial contamination in medical devices, agricultural, pharmaceutical, food or personal care products, ITS and 18S gene sequencing methods can be used to analyze mycobiomes including the human gut mycobiome, soil mycobiomes, water mycobiomes, vaginal and skin mycobiomes, oral mycobiomes, etc.
Advantages of 16S/ITS/18S Sequencing Technology for Microbial Identification and Microbiome/Mycobiome Analysis
- Enables microorganism population identification, microorganism community diversity analysis and composition analysis (down to the genus or species level depending on sample complexity and bacteria diversity)
- Faster identification, higher sensitivity, specificity and accuracy when compared to traditional identification methods
- Flexible targeting of one or more variable regions for greater taxa identification
- Automated analysis process and low sample demand
- Cost-effective technique for identifying microorganism populations that may not be identified using traditional identification techniques
- Provides a culture-free method for analyzing an entire community of bacteria within a single sample