In today's era of precision agriculture and biotechnology convergence, multi-omics analysis provides powerful support for unraveling the molecular mechanisms underlying crop growth, predicting responses to environmental stresses, and optimizing breeding strategies. Lifeasible has many years of experience in providing personalized multi-omics analysis services, and we are committed to providing our clients with scientific, accurate, and comprehensive data interpretation and customized solutions using advanced genomics integration technologies.

Application of Personalized Multi-Omics Analysis

• Precision breeding and crop improvement. Reveal the molecular basis of traits such as drought tolerance, disease resistance, and high quality to guide the selection and application of new varieties.
• Environmental and agroecological monitoring. Assess the health of the agricultural environment and realize green production by monitoring molecular changes in soil and crops.
• Functional agricultural product development. Explore potential functional components in agricultural products to provide a basis for researching and developing healthy food, functional beverages, and other products.
• Quality optimization of agricultural products. Analyze the correlation between metabolic pathways and flavor and nutritional components to assist in variety improvement.

Our Service for Personalized Multi-Omics Analysis

Joint transcriptome and metabolome analysis

• Gene expression-metabolite association analysis. Through the transcriptome data, we can identify the changes in target gene expression, combined with the metabolome, to detect the accumulation pattern of downstream metabolites and reveal the whole chain mechanism of "gene regulation - metabolic response."
• Key Pathway Mining. We can locate the core regulatory pathways in adversity stress or quality formation.

We provide one-stop transcriptome and metabolome analysis, including leaf and fruit sample collection, RNA-Seq sequencing, and LC-MS metabolite detection.

Joint genome and metabolome analysis

• Metabolite genome-wide association analysis (mGWAS). Locate genetic loci controlling the synthesis of key metabolites through population genomic variation data and metabolome association analysis.
• Functional gene annotation. Associate candidate genes to specific metabolite synthesis or regulatory pathways with metabolic pathway databases.
• Breeding marker development. Screening for molecular markers strongly associated with target traits to assist in molecular breeding.

We have demonstrated efficient locus screening and metabolism-phenotype linkage research in this service, which currently shows good application value in helping researchers mine genes related to crop nutrient fortification and develop breeding markers for functional agricultural products.

Joint transcriptome and proteome analysis

• Gene expression-protein translation association validation. Compare the mRNA expression level with the corresponding protein abundance and screen the genes involved in function execution.
• Post-translational regulation study. Identify the effects of protein modification on metabolic pathway activity and improve the regulatory network.
• In-depth analysis of molecular mechanisms. Suitable for studies that require high-confidence mechanism validation, such as the real-time response mechanism of pathogenic bacteria infecting the host.

This service plays a vital role in helping researchers carry out studies on crop disease resistance mechanisms and analyze the mechanism of action of biostimulants.

Joint proteome and metabolome analysis

• Direct enzyme-metabolite association. Detecting the abundance of key enzymes through proteome, combined with metabolome analysis of their catalytic products or substrate changes, directly verifying the activity of metabolic pathways.
• Protein modification and metabolic regulation. Analyze the role of protein phosphorylation, ubiquitination, and other modifications on regulating metabolic enzyme activities.
• Biomarker mining. Screen for combined protein-metabolite markers that are strongly associated with specific physiological states.

Our service plays an important role in helping researchers conduct research studies on the mechanism of microbial fertilizer potentiation and crop stress response studies.

Our Process of Personalized Multi-Omics Analysis

• Pre-experimental communication. Clarify study objectives, sample types, and analytical requirements, and determine histology combinations and sample types.
• Protocol design. Provide experimental design, sample size recommendations, and cost optimization.
• Sample collection and quality control. Guide clients on standardized sample collection and complete strict pre-treatment and quality control to ensure data accuracy.
• Experiment and data generation. Strictly implement quality control standards to ensure data reliability.
• Data analysis. Complete basic analysis (e.g., differential gene, metabolite screening) and advanced coanalysis (e.g., WGCNA network, multi-omics pathway enrichment).

Fig.2 Our process of multi-omics analysis. (Lifeasible)

Highlights of Our Personalized Multi-Omics Analysis

• Deep plowing in the agriculture field. We have many years of service experience in multi-omics joint analysis and have completed 200+ agricultural multi-omics projects covering rice, corn, cash crops, and specialty microorganisms.
• Industry-academia-research linkage. We have built joint laboratories with many agricultural universities and breeding enterprises to iterate technology in line with industrial needs.
• Strong technical team. We have an interdisciplinary team of bioinformaticians, statisticians, and agricultural scientists to ensure that every step of the analysis is by the latest scientific standards while also considering the ground's application.
• Strict quality control system. From sample collection to data generation to analysis reports, we strictly control the quality of the entire process to ensure accurate data and reliable results.

Lifeasible's personalized multi-omics joint analysis service can help researchers gain a deeper understanding of the subtle changes in organisms and provide data support for precision breeding, health management, and green production. If you are interested, please feel free to contact us.