The soil microflora contains a wide range of microbial strains. Microorganisms in soil are essential for the maintenance of soil functions in both natural and managed soils due to their involvement in key processes including soil structure formation, toxin removal, decomposition of organic matter, and the recycling of carbon, nitrogen, phosphorus, and sulphur. In addition, microorganisms play vital roles in promoting plant growth, suppressing soilborne plant diseases, and creatingfvegetation. Therefore changes in vegetation. Therefore, the microbial diversity in soil habitats, which could be used as an ecosystem indicator, has generated increased interest.
Request a Quote
Traditionally, microbial diversity in soil has been analyzed by methods such as viable and culturable methods, CLPP and flow cytometry. However, the limits of these methods have been preventing us from exploring further. We provide PCR, next-generation sequencing (NGS), and long-read sequencing approaches (PacBio SMRT sequencing and Nanopore sequencing) to identify, quantify, and characterize both culturable and unculturable microorganisms present in soil habitats. These techniques provide a more accurate method for measuring the microbial diversity and abundance, as well as exploring microbial function.
Note: Our service are for research use only, not for disease diagnosis or treatment.
DNA samples of soil microbiome from diverse soil types can be tested.
Viruses, fungi, bacteria, archaea, mycoplasma, etc.
We are equipped with Illumina Hiseq/Miseq, PacBio SMRT systems, and Nanopore systems for 16S/18S/ITS sequencing and metagenomics, PCR-DGGE (PCR-denaturing gradient gel electrophoresis), real-time qPCR, clone library, and other analytical platforms.
Figure 1. High-throughput sequencing analysis process.
Figure 2. PCR-DGGE analysis process.
| OTU Clustering | Distribution-Based OTU-Calling |
| Rarefaction Curve | |
| Shannon-Wiener Curve | |
| Rank Abundance Curve | |
| Diversity Index | |
| OTU-Based Analysis | Heatmap |
| VENN | |
| Principal Components Analysis (PCA) | |
| Hierarchical Clustering | |
| Comparative Analysis | RDA/CCA |
| PCA/PCoA | |
| Network Analysis | |
| Functional analysis | BLASTX, KEGG, eggNOG, CAZy, CARD, ARDB etc. |
| PICRUSt | |
| TAX4Fun | |
| Phylogenetic Analysis | (Un)Weighted Unifrac |
| Phylogenetic Trees |
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.
Please fill out the form below: ×
