Microbial Co-occurrence Network Antibiotic Evaluation
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Solution Overview
Problem
Current methods for evaluating the ecological effects of antibiotics on microbial communities primarily focus on interactions within the same group of microorganisms, neglecting the impacts on co-occurrence patterns between different groups, such as bacteria, archaea, and fungi.
Innovation Solution
A method is developed to evaluate the ecological effects of antibiotics by constructing a bacterial-archaeal-fungal co-occurrence network, analyzing correlations between different microbial groups, and comparing topological properties of these networks under varying antibiotic concentrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods focus only on interactions within the same group of microorganisms, then the evaluation is simpler and more focused, but it fails to capture the comprehensive ecological effects of antibiotics on cross-group microbial interactions
Solution Approach 1:
The patent segments the microbial community into three distinct groups (bacteria, archaea, fungi) and constructs separate co-occurrence networks for each group. This segmentation allows for systematic analysis of both within-group and cross-group interactions, improving measurement precision while managing complexity through structured organization of the network construction process
Solution Approach 2:
The patent develops a universal evaluation framework that can simultaneously assess multiple aspects of antibiotic effects: within-group interactions, cross-group interactions, and overall ecosystem stability. This multi-functional approach enables comprehensive evaluation accuracy without requiring separate methods for each evaluation dimension
2Measurement precision
If the method includes all microbial groups (bacteria, archaea, fungi) and their cross-group interactions, then the ecological evaluation becomes more comprehensive, but the data processing and network analysis become more complex
Solution Approach 1:
The patent divides the complex multi-group microbial system into three separate co-occurrence networks (bacterial, archaeal, fungal) that can be analyzed independently. This segmentation reduces the analytical difficulty by breaking down the complex cross-group interaction analysis into manageable components while still enabling comprehensive ecological evaluation through integration of results
Solution Approach 2:
The patent introduces standardized co-occurrence network construction protocols and analytical frameworks as intermediaries that facilitate the detection and measurement of complex cross-group interactions. These standardized methods serve as mediators that translate complex multi-group microbial data into interpretable ecological insights, reducing the overall difficulty of analysis
Data Source
AI summary
This application relates to the technical field of evaluating ecological effects of antibiotics, and in particular, to a method for evaluating ecological effects of antibiotics based on a bacterial-archaeal-fungal co-occurrence network. In this application, a bacterial-archaeal-fungal co-occurrence network is constructed, removing correlations between the microorganisms in the same group. Based on antibiotic concentrations in samples, the samples are divided into high and low concentration sample groups. By comparing topological properties of networks and nodes in the bacterial-archaeal-fungal co-occurrence networks under the two groups, it is found that under the high antibiotic concentration condition, the average node degree and graph density between different groups of the microorganisms are higher, and the average clustering coefficient and modularity of the network are lower, indicating increased correlations and tighter associations but fewer clustering modules, lower modular differentiation, and lower niche differentiation for different groups of microorganisms under the high antibiotic concentration condition.