The rumen microbial community comprising of archaea, bacteria, fungi, and ciliated protozoa is characterized by high population density, remarkable diversity, and complex microecological interactions. Among ruminal microbes, rumen bacteria accounting for 1011 cells/ml of rumen content are the most diverse group. The rumen microbiota is an indispensable part of ruminants shaping their nutrition and health. However, only 15-20% of the rumen microorganisms can be identified and characterized by conventional culturing and microscopy. The emerging next-generation sequencing (NGS) and long-read sequencing techniques provide a rapid, reproducible, comprehensive tool for the qualitative and quantitative assessment of microbial diversity in rumen ecosystem.
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Based on our NGS, PacBio SMRT sequencing, and Nanopore sequencing platforms, we can help you identify and study the microbes present in the rumen, including their relative abundance, diversity, function, and evolutionary relationships. We also simultaneously study rumen microbiota and metabolic phenotypes to identify the associations between ruminal microbes and the nutrition and health of ruminants, and to discover potential biomarkers of digestive functions. This service is of great importance to a range of fields including scientific research, agricultural practices, and the development of supplements and therapies.
Note: Our service is for research use only, and not for therapeutic or diagnostic use.
Gastrointestinal tract content samples of ruminants, like cattle, bison, and buffalo (bovines), goats, sheep, deer, alpacas, llamas, guanacos.
Bacteria, archaea, fungi, protozoa, etc.
We can perform 16S/18S/ITS sequencing or metagenomics on Illumina Hiseq/Miseq, PacBio SMRT systems, or Nanopore systems according to your needs. Additionally, we own PCR-DGGE (PCR-denaturing gradient gel electrophoresis), real-time PCR, Clone library, and other technology platforms.
Figure 1. High-throughput sequencing analysis process.
Figure 2. PCR-DGGE analysis process.
| Basic Analysis | Routine Analysis (According to Customer Requirements) | Advanced Data Analysis |
|---|---|---|
| Sequence Filtering and Trimming | Heatmap | Phylogenetic Tree |
| Sequence Length Distribution | VENN | LDA-Effect Size (LEfSe) |
| OTU Clustering and Species Annotation | Principal Components Analysis (PCA) | Network Analysis |
| Diversity Index | Microbial Community Structure Analysis | Correlation Analysis |
| Shannon-Wiener Curve | α Diversity Index Analysis | |
| Rank-Abundance Curve | Matastats Analysis | |
| Dilution Curve | Weighted Unifrac test | |
| Multiple Contrast | CCA/RDA Analysis | |
| Heatmap | ||
| Principal Components Analysis (PCA) |
Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.
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