Microorganism Strain Analysis Using Tracer Analytics
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Solution Overview
Problem
Current methods for analyzing complex microbial communities struggle to accurately determine active microorganism strains and their interactions, which is crucial for understanding ecosystem dynamics and environmental processes, as they focus on relative abundance rather than absolute cell counts and fail to decipher functional relationships within these communities.
Innovation Solution
The method involves using tracer analytics to scale and analyze microorganism strains by introducing tracers into environments, detecting unique markers, and determining activity levels to form bioensembles that can alter target biological environments, allowing for the synthesis of microbial ensembles that can populate, outcompete, or replace existing microorganisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional relative abundance methods are used to analyze microbial communities, then the analysis process is simpler, but the accuracy of determining active microorganism strains and their interactions deteriorates
Solution Approach 1:
The patent uses tracer molecules as intermediaries to bridge the gap between simple detection and accurate measurement of active microorganisms. Tracers are introduced into the system and bind to specific microbial components, enabling precise tracking and quantification of active strains without requiring complex direct observation methods. This mediator approach allows accurate measurement while maintaining relative analytical simplicity.
Solution Approach 2:
The patent transforms the measurement parameter from relative abundance (simple but inaccurate) to absolute cell counts based on tracer signal intensity (complex but accurate). By changing the fundamental measurement parameter and using tracer dilution factors, the system achieves precise quantification of active microorganism strains and their functional relationships.
2Loss of information
If comprehensive microbial community analysis is performed to identify functional relationships, then the understanding of ecosystem dynamics improves, but the time and computational resources required increase
Solution Approach 1:
The patent performs preliminary actions by introducing tracers into the microbial community before analysis. This pre-labeling step enables subsequent rapid detection and quantification of active strains, avoiding the need for time-consuming cultivation and identification procedures. The preliminary tracer introduction captures functional relationships directly in the native environment, significantly reducing analysis time while preserving comprehensive information.
3Measurement precision
If absolute cell counts of microorganism strains are determined using tracer analytics, then the accuracy of strain quantification improves, but the complexity of the measurement process increases
Solution Approach 1:
The patent replaces complex mechanical and manual counting methods with tracer-based analytical detection. Instead of using microscopes, flow cytometers, or plate counting techniques, the system uses tracer signal measurement (such as mass spectrometry or spectroscopy) to automatically determine absolute cell counts. This substitution of measurement mechanism maintains high accuracy while reducing operational difficulty.
Data Source
AI summary
Methods, apparatuses, and systems for microorganism strain analysis of complex heterogeneous communities with tracer analytics, determination of functional relationships and interactions thereof, and synthesis of microbial ensembles, including dosed microbial ensembles and inoculative microbial ensembles, are disclosed.