Microbial Sequencing Service

CD Genomics provides microbial sequencing services for community profiling and individual microbial genomes. Choose an amplicon, metagenomic, metatranscriptomic or whole-genome workflow according to your research question.

  • Microbial community profiling
  • Individual microbial genome sequencing
  • Project-specific bioinformatics analysis
Sample Submission Guidelines

microbial-sequencing-new-hero.jpg

Deliverables

Depending on the selected service:

  • Sequencing data and quality-control summaries
  • Analysis tables and figures
  • Project report and interpretation support

What is Microbiome Sequencing?

Given the progress in high-throughput sequencing technologies, the expenses associated with sequencing have steadily diminished, while sequencing efficiency has experienced rapid augmentation. Presently, a more thorough and extensive examination of microorganisms is attainable at a reduced cost. Microbiomics, a nascent discipline, leverages diverse high-throughput omics technologies to scrutinize microbial communities and their functionalities. This encompasses the application of amplicon sequencing methodologies to investigate the constitution and configuration of microbial communities. Furthermore, metatranscriptomics, proteomics, and metabolomics are employed to delve into microbial functions and interactions within communities.

These innovative research methodologies empower us to gain a more holistic comprehension of the microbial realm, affording us a glimpse into an additional dimension of microbial existence. Furthermore, assisted by advancing high-throughput sequencing, identification, and culturomics technologies, we are poised to unveil a myriad of previously undiscovered and challenging-to-culture microorganisms. The ongoing refinement of technology will systematically peel away the enigmatic layers shrouding the microbial world.

Microbiome Sequencing Methods

Until recently, the properties and compositions of the microbiota in the planet are still largely a black box. Next generation sequencing (NGS) has proven to be an invaluable tool for investigating diverse environmental and host-associated microbial communities, helping to generate enormous new data sets that can be mined for information on the composition and functional properties of vastly great numbers of microbial communities.

The applications of NGS in microbial community profiling include amplicon sequencing (typically 16S rRNA sequencing for bacteria and 18S rRNA/ITS sequencing for fungi), metagenomic shotgun sequencing, metatranscriptomic sequencing and viral metagenomics sequencing, which can help to answer the questions of 'who is present in the community', 'what could they be doing' and 'how these microorganisms interact'. The strategies are outlined in Figure 1.

Microbial-Genomics-3.png Figure 1. Strategies for metagenomics study. Adapted from Bikel et al., 2015.

Microbial genome research Microbial transcriptome research
Microbial Whole Genome Sequencing Microbial transcriptomic Sequencing
Microbial Whole Genome De novoSequencing Metatranscriptomic Sequencing
16s/18s/ITS Amplicon Sequencing Microbial small RNA Sequencing
Metagenomic Sequencing
Target capture sequencing

Our Microbial Sequencing Services

CD Genomics is committed to providing novel NGS services enabling researchers to explore structure and function of the microbial community in a high-resolution and culture-independent manner using technology from Illumina and PacBio. In addition, we also offer the service to sequence the genome of the individual cultured bacteria, fungi, phage or virus, whether do novo or re-sequencing. Our outstanding microbial sequencing service portfolios include:
  • 16s/18s/ITS Amplicon Sequencing

    • CD Genomics offers comprehensive 16S, 18S, and ITS amplicon sequencing services to help researchers dive into the microbial diversity of their samples. By targeting specific genetic markers, this method provides accurate identification and classification of bacteria, archaea, and fungi, which is crucial for various ecological and health-related studies.

  • Metagenomic Shotgun Sequencing

    • Metagenomic shotgun sequencing allows for the examination of the entire genetic content of a microbial community in a sample. CD Genomics excels in providing this service, enabling researchers to uncover the complete spectrum of microbial diversity and functionality, essential for understanding complex microbial ecosystems.

  • Viral Metagenomic Sequencing

    • Viral metagenomic sequencing focuses on characterizing the entire viral population within a sample. CD Genomics offers this advanced service to help researchers explore viral diversity, evolutionary trends, and host-virus interactions, providing vital insights for virology and ecological studies involving viruses.

  • Metatranscriptomic Sequencing

    • Metatranscriptomic sequencing captures the active RNA transcripts from a microbial community, offering a snapshot of gene expression and metabolic activity. CD Genomics provides expert metatranscriptomic sequencing services, aiding researchers in understanding the functional dynamics of microbial communities in response to environmental changes.

  • Microbial Whole Genome Sequencing

    • CD Genomics delivers detailed microbial whole genome sequencing services, mapping out the entire genetic landscape of microorganisms. This approach is indispensable for studying microbial genetics, evolution, and harmful potential, allowing researchers to uncover new strains and understand the genetic basis of microbial behavior.

  • Absolute Quantitative 16s/18s/ITS Amplicon Sequencing

    • For researchers needing precise quantification of microbial populations, CD Genomics offers absolute quantitative amplicon sequencing. This technique provides exact counts of target sequences in a sample, crucial for accurately comparing microbial loads and dynamics across different conditions.

  • Microbial Identification

    • Accurate microbial identification is vital for applications ranging from medical services to environmental monitoring. CD Genomics provides top-notch microbial identification services using state-of-the-art sequencing technologies, ensuring reliable and precise classification to support various research and industrial needs.

Our PhD-level specialists can advise you all the way, both during the project designing stage and during the implementation of the project regarding sample preparation and the technical approach to use, endeavoring to minimize the cost of sequencing while maximizing the high-quality data output in terms. After sequencing, our bioinformatics specialist can assist you with the analyses for your project and interpretation of the sequence data to meet the publication or application requirements.

Key Features and Advantages:

  • State-of-the-art pipelines: experienced personnel in experimental design, sample handling, DNA extraction, library preparation, sequencing, data analysis and interpretation.
  • Efficient and reliable sequencing procedures: we utilize up-to-date Illumina and PacBio's sequencing instruments, cutting-edge sequencing technologies and standard workflow to ensure the accuracy and reliability of the results.
  • Outstanding service: With highly qualified specialists, we provide high-quality base sequence, stringent quality controls, comprehensive bioinformatics analyses using the latest sequence databases and software tools, generating publication-ready data.
  • Cost-effective price with rapid turnaround times: Our high success rates and quality data prevent costly repeat experiment and sequencing.
  • Personalized customer service.

Application of Microbial Sequencing Service

  • Microbial Community Analysis: Microbial community analysis uses sequencing technology to identify and quantify the different microbial species present in an ecosystem. This is crucial for understanding environmental health, soil fertility, and water quality. For instance, analyzing soil microbial communities can provide insights into changes in soil fertility.
  • Microbial Analysis in Medical Contexts: In medical services environments, microbial sequencing is utilized for swift and precise detection of infectious agents. Unlike conventional culturing techniques that require several days, advanced sequencing methods can provide pathogen genomic data within hours, assisting in timely and efficient health intervention decisions.
  • Microbiome and Health Research: The impact of the microbiome on human health is increasingly recognized. Sequencing helps researchers uncover how microbiomes are studied in the context of microbial community dynamics, such as studying gut microbiomes to understand their links to metabolic syndrome, obesity, and other diseases.
  • Microbial Bioactive Compound Discovery: Microbial sequencing helps identify bioactive compounds from environmental microbes. By analyzing microbial communities in soil and marine ecosystems, researchers can uncover metabolites with potential applications in biotechnology and environmental science.
  • Industrial Applications: In industrial settings, microbial sequencing optimizes fermentation processes. For example, in the food and beverage industry, sequencing can track microbial dynamics during fermentation, improving product consistency and quality.
  • Environmental Monitoring: Microbial sequencing aids in environmental monitoring by detecting pollutants or harmful microorganisms. Analyzing water, air, or soil samples can reveal pollution sources and help in taking timely corrective actions.
  • Synthetic Biology: In synthetic biology, microbial sequencing supports the design and optimization of engineered microorganisms. These microbes can perform specific metabolic functions or produce new compounds, contributing to applications in bio-manufacturing and environmental remediation.

Reference

  1. Bikel S., et al. Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome. Computational and Structural Biotechnology Journal. 2015, 13:390-401.

Representative 16S Amplicon Analysis Results

The following redacted figures are extracted from a CD Genomics 16S rRNA amplicon analysis report. They illustrate ASV-table summaries, taxonomic composition, diversity, community comparisons and predicted functional potential within our microbial sequencing portfolio.

Original result patterns are retained. Project identifiers, sample and taxon names, and numerical annotations have been removed or replaced with generic display labels. Selected panels are shown as excerpts. These figures illustrate report outputs and are not performance specifications.

20 outputs · 4 stages
1

ASV Table and Community Composition

Sample Frequency Distribution Distribution view from the ASV feature-table summary. Numerical scales are withheld.
ASV Frequency Distribution Distribution view from the ASV feature-table summary. Numerical scales are withheld.
Phylum-level Community Composition Phylum-level relative composition summarized by group. Taxonomic identities and project values are withheld.
Sample-level Community Composition Class-level stacked bars show the format used to compare relative composition across samples. Taxon and sample identities are withheld.
Taxonomic Abundance Heatmap A clustered genus-level abundance view. Sample labels, taxonomic names and numerical color-scale labels are withheld.
2

Diversity and Sequencing-depth Assessment

Chao1 Richness Group-wise diversity summary from the report. Group labels are generic and numerical scales are withheld.
Shannon Diversity Group-wise diversity summary from the report. Group labels are generic and numerical scales are withheld.
Observed-feature Rarefaction Rarefaction assesses how the selected diversity measure changes with subsampling depth. Project-specific scales and group labels are withheld.
Shannon Rarefaction Rarefaction assesses how the selected diversity measure changes with subsampling depth. Project-specific scales and group labels are withheld.
Faith PD Rarefaction Rarefaction assesses how the selected diversity measure changes with subsampling depth. Project-specific scales and group labels are withheld.
3

Community Comparison and Clustering

Bray-Curtis PCoA Ordination shows community dissimilarity under the stated distance metric. Original point positions are retained; identifiers and explained-variation values are withheld.
Jaccard PCoA Ordination shows community dissimilarity under the stated distance metric. Original point positions are retained; identifiers and explained-variation values are withheld.
Weighted UniFrac PCoA Ordination shows community dissimilarity under the stated distance metric. Original point positions are retained; identifiers and explained-variation values are withheld.
Unweighted UniFrac PCoA Ordination shows community dissimilarity under the stated distance metric. Original point positions are retained; identifiers and explained-variation values are withheld.
Community Distance Distribution An example within-group and between-group distance distribution. Pair counts, group identities and numerical scales are withheld.
UPGMA Community Clustering Report-derived hierarchical sample clustering with all sample labels and branch-length values withheld.
4

Differential Taxa and Predicted Functional Potential

LEfSe Hierarchy Excerpt A central excerpt of the report cladogram illustrates hierarchical differential-taxon output. The outer taxonomic annotations are excluded.
Predicted EC Comparison Selected rows from PICRUSt2-derived functional comparisons. These are predictions from 16S data, not direct measurements of genes, transcripts or pathway activity.
Predicted KO Comparison Selected rows from PICRUSt2-derived functional comparisons. These are predictions from 16S data, not direct measurements of genes, transcripts or pathway activity.
Predicted Pathway Comparison Selected rows from PICRUSt2-derived functional comparisons. These are predictions from 16S data, not direct measurements of genes, transcripts or pathway activity.

PICRUSt2 outputs describe predicted functional potential from 16S profiles. They do not directly measure gene content, transcription or metabolic activity.

×
For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.
Publications

Nutrient structure dynamics and microbial communities at the water–sediment interface in an extremely acidic lake in northern Patagonia

Frontiers in Microbiology | 2024

https://doi.org/10.3389/fmicb.2024.1335978

Indole-3-Propionic Acid, a Gut Microbiota Metabolite, Protects Against the Development of Postoperative Delirium

Annals of Surgery | 2023

https://doi.org/10.1097/SLA.0000000000005886

Elucidating the effects of organic vs. conventional cropping practice and rhizobia inoculation on rhizosphere microbial diversity and yield of peanut

Environmental Microbiome | 2023

https://doi.org/10.1186/s40793-023-00517-6

Multi-species biofilms of environmental microbiota isolated from fruit packing facilities promoted tolerance of Listeria monocytogenes to benzalkonium chloride

Biofilm | 2024

https://doi.org/10.1016/j.bioflm.2024.100177

Read more publications

Featured Resources
Request a Demo Report

Interested in seeing a sample project report? Complete the form below and our team will send the requested demo report to your email.

* Email Address:
* Demo Report of Interest:
Name:
* Organization:
* Project Description:
For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.
×
Quote Request
! For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.