Metabolic Network Research of Probiotic Strains

Genome-scale metabolic models can be used to better understand genotype-phenotype relationships and to compare different organisms.

Creative Enzymes provides professional and comprehensive solutions for our clients' probiotic metabolic network researches to help them better understand the physiological properties of the strains and increase their understanding of the potential of the strains for industrial applications.

Why Should I conduct The Research on The Metabolic Network of Probiotics

• Metabolism is the most important biological process in living organisms. Introducing information on metabolic networks is an important tool to study probiotics and can help us better understand the complexity of the underlying molecular networks of strains.
• The use of metabolic engineering approaches enables a better understanding of the intracellular metabolic characteristics and mechanisms of action of probiotic bacteria and increases the likelihood of probiotic strains with the desired function.
• Researches based on probiotic metabolic networks can be used to guide the metabolic modification process of probiotics, analyze the effect of environmental changes in the community on the growth of probiotics, and explore the metabolic interactions between different probiotics.

Applications of Probiotic Metabolic Network Research

• Exploring the metabolic pathways that exist in nature.
• Prediction and discovery of new metabolic production pathways.
• Manual adaptation or design of metabolic pathways based on existing knowledge.

Our Services for The Research of Probiotic Metabolic Networks

Intracellular metabolism of probiotics is a complex process. It is difficult to systematically understand the regulatory mechanism by single means and cannot efficiently obtain the desired phenotype. Even more problematic is the fact that in complex biological systems, thousands of reactions occur between different microorganisms and between microorganisms and their hosts, and it is difficult to understand these metabolic reactions by experimental methods.

Creative Enzymes utilizes genome-scale metabolic model (GSMM) to integrate all known metabolic information in an organism, providing the best platform to understand the metabolic state of an organism globally and to rationally guide metabolic engineering modifications. The metabolic network models we provided including:

Fig. 1 Potential metabolic routes for enhancing growth of L. reuteri KUB-AC5 by integrative transcriptome analysis. (Namrak, 2022)

Interaction Network Model

Microbial interactions in nature are mainly mutualistic, symbiotic, competitive and parasitic. Creative enzymes have been used to identify microbial interactions by constructing microbial community interaction models that simulate the exchange of metabolites between different species.

Pan-Genome Model

Pan-genome is a general term for all genes of a species, including core genome and dispensable genome. Creative enzymes analyze strain specificity by constructing a pan-genomic model and performing combinatorial analysis of core and additional genes to compare phenotypic differences between different strains of the same species.

Meta-Genome Model

The macro-genome (Meta-genome) is the total DNA of all microorganisms in a given environment. Species richness is an important evaluation metric for macrogenomic data. Creative enzymes construct macrogenomic network models on the basis of individual microbial GSMMs. On the one hand, the model can be combined to analyze the metabolic characteristics of the flora in different environments, and on the other hand, the interaction relationships between different microorganisms can be predicted.

Creative Enzymes is a professional and experienced probiotic supplier and service provider. We are committed to providing efficient and professional services for metabolic network research of probiotics. To get more information, please contact us or fill out the online inquiry below, we will be happy to serve your research demands.

Reference

1. Namrak, T.; et al. Probing genome-scale model reveals metabolic capability and essential nutrients for growth of probiotic Limosilactobacillus reuteri kub-ac5. Biology. 2022, 11(2): 294.