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 in changes in vegetation. Therefore, an increasing interest has emerged with respect to the significance of microbial diversity in soil habitats, which may be used as an ecosystem indicator.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|
|Rank Abundance Curve|
|Principal Components Analysis (PCA)|
|Functional analysis||BLASTX, KEGG, eggNOG, CAZy, CARD, ARDB etc.|
|Phylogenetic Analysis||(Un)Weighted Unifrac|