Root microbiota affect plant host fitness and productivity in a variety of ways. Root-associated microbiomes, as a source of benefits for the plant, play pivotal roles in the plant–soil ecosystem by influencing plant nutrition and productivity. Rhizosphere bacteria can alter plant growth by eliciting induced systemic tolerance to protect plants against abiotic stresses. Advances in NGS technology and metagenomic approaches allow not only for the taxonomic profiling of the root-associated microbial communities but also for the functional characterization of the microbiome.
• Explore the composition of root-associated microbial communities
• Explore the interactions of plants with beneficial and pathogenic microbes
• Explore the overrepresentation of specific fungal phyla in the rhizosphere correlates with their increased activity around the roots.
• Explore the effect of root exudates on root-associated microbiome
• Explore the interplay between plant immunity and the microbiome
• Explore the prospect of using synthetic communities to promote plant health
With our next-generation sequencing (NGS) technology, PacBio SMRT sequencing, and Nanopore sequencing platforms, we have the tool to identify, quantify and analysis the root-associated microbiota. With this high-throughput technology we can perform complete metagenomics studies capable of surveying the genomes of entire communities, including those of unculturable organisms.
|Illumina Hiseq||Illumina Miseq||Ion PGM||PacBio SMRT system|
|Nanopore system||PCR-DGGE||Real-time qPCR||Clone library|
Creative Biogene offers extensive microbiome analysis portfolio includes not only consultancy, study design, sampling solutions and sequencing, but also downstream bioinformatic and biostatistical analyses.
Fig.1 High-throughput sequencing analysis process
Fig.2 PCR-DGGE analysis process
|Sample requirements and preparation |
• Sample: Genomic DNA
|Detectable Microorganisms |
|Basic analysis |
• Sequence Filtering and Trimming
|Routine analysis |
|Advanced data analysis |
• Phylogenetic Tree
1. Fuhrman JA. 2009. Microbial community structure and its functional implications. Nature 459:193–199.
2. Zhou, J. , He, Z. , Yang, Y. , Deng, Y. , & Alvarez-Cohen, L. . (2015). High-throughput metagenomic technologies for complex microbial community analysis: open and closed formats. mBio, 6(1).
3. Blandino, G., Inturri, R., Lazzara, F., Rosa, M.D., & Malaguarnera, L. (2016). Impact of gut microbiota on diabetes mellitus. Diabetes & metabolism, 42 5, 303-315.