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Inter-rhizosphere Bacterial Analysis
A large number of microorganisms, such as bacteria, fungi, protozoa, and algae, are present in the inter-root zone, with bacteria being the most abundant. Plants select the bacteria that contribute most to their growth by increasing the survival pressure of microorganisms through chemosensory effects. Among these bacteria, those that grow in the plant root zone and contribute to plant growth are called plant growth-promoting rhizobacteria (PGPR), and PGPR has a positive effect on plant growth and crop yield. and indirectly. Some strains directly promote plant growth by mimicking the synthesis of plant hormones. some strains directly regulate plant physiological growth by mimicking the synthesis of plant hormones, while others some strains increase the availability of minerals and nitrogen in the soil, thereby promoting plant growth. other strains promote plant growth by increasing the availability of minerals and nitrogen in the soil.
What We Offer
Lifeasible applied DNA fingerprinting, pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST), random amplification of polymorphic DNA-PCR (RAPD-PCR), and repetitive element palindromic-PCR (Rep-PCR) to perform clonal typing and molecular evolutionary analysis services of inter-rhizosphere bacteria.
In addition, we have a well-established genomic and metabolomic platform for macro-genomic analysis and metabolic monitoring of rhizobacteria. We can provide PhyloChip microarray technology to analyze the structure of the inter-rhizosphere bacterial community, we can provide macro-transcriptome and macro-genomic sequencing analysis for the inter-rhizosphere bacterial community, and we can also provide gas chromatography-mass spectrometry (GC-MS) technology to analyze the effect of soil bacterial community on metabolite components of plant tissues.
Project | Content |
---|---|
Primary Analysis | Data quality control statistics |
Genome circle map | Pacbio sequence assembly Illumina sequence genome correction |
Genome component analysis | Coding gene prediction tRNA prediction rRNA prediction sRNA prediction Scattered repeat prediction Tandem repeat prediction Transposon prediction CRISPR prediction Gene Island Prediction Pre-phage prediction |
Basic functional analysis | Nr annotation Swiss-Prot annotation GO annotation KEGG annotation COG annotation |
Advanced functional analysis | PHI Host Interaction Annotation TNSS effector protein prediction CARD drug resistance gene annotation VFDB virulence factor annotation Pfam annotation CAZy annotation Signal Peptide Containing Protein Prediction Transmembrane Protein Prediction Secretory Protein Prediction Two-component system prediction Secondary metabolic gene cluster prediction |
Advanced Analysis | Covariance analysis Gene family analysis Commonality analysis Evolutionary tree analysis SNP statistics Indel statistics SV statistics |
The services provided by Lifeasible cover all aspects of plant research, please contact us to find out how we can help you achieve the next research breakthrough.
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