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.

Contact

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