Binary-Coded Phylogenetic Imaging of Microbial Communities
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Solution Overview
Problem
Current methods for studying microbial communities, such as fluorescence in-situ hybridization (FISH), are limited by multiplexity, failing to distinguish more than 15 taxa due to spectral overlap of fluorophores, and lack spatial resolution in biofilm imaging, missing low-abundance taxa and failing to capture spatial interactions between microbes and host tissues.
Innovation Solution
A method using n-bit binary encoding of fluorophores, where each taxon is assigned a unique n-bit binary code, allowing up to 1023 taxa to be distinguished through hybridization with encoding and decoding probes, followed by spectral imaging for high phylogenetic resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional FISH methods use one fluorophore per taxa, then the method is simple to implement, but the multiplexity is limited to identifying only up to eight taxa per experiment
Solution Approach 1:
The patent segments the identification process into two distinct phases: encoding phase where taxon-specific probes are hybridized to target sequences, and decoding phase where universal readout probes with fluorophores are hybridized to the encoding probes. This segmentation allows multiplexing beyond the traditional one-fluorophore-per-taxon limit by separating the taxon-specific recognition function from the fluorescent labeling function.
Solution Approach 2:
The patent transitions from a one-dimensional labeling system (one fluorophore per taxa) to a two-dimensional system by introducing encoding sequences as an intermediate layer. Each taxon is assigned a unique binary code through encoding probes, and universal readout probes read these codes using fluorophores. This adds a dimensional layer of encoding sequences that enables high multiplexity while maintaining manageable experimental complexity.
2Quantity of substance
If spectral imaging is used to increase multiplexity to 120 taxa, then the number of identifiable taxa increases, but the method has not been demonstrated in environmental microbial communities and requires complex image processing
Solution Approach 1:
The patent introduces encoding probes as intermediary elements between the taxon-specific target sequences and the fluorescent readout probes. These encoding probes contain binary encoding sequences that are read by universal readout probes. This intermediary layer simplifies the imaging process by standardizing the fluorescent signal format, making it easier to decode and analyze compared to direct spectral unmixing of 120+ fluorophores.
3Measurement precision
If probes for low level taxa are used, then high phylogenetic resolution is achieved, but low-abundance taxa may be missed due to limited multiplexity
Solution Approach 1:
The patent creates a universal decoding system where the same set of readout probes with fluorophores can read the binary codes of any taxon. The encoding probes are designed to be taxon-specific (providing high phylogenetic resolution) while the readout probes are universal (providing broad coverage). This multi-functionality allows the system to simultaneously achieve high resolution for individual taxa and broad coverage across many taxa including low-abundance ones.
4Quantity of substance
If high taxonomic level probes are used, then broad taxonomic coverage is achieved, but phylogenetic resolution is reduced and species-level identification is insufficient
Solution Approach 1:
The patent applies local quality by making the encoding probes taxon-specific with high sequence specificity (providing high phylogenetic resolution at the species or genus level) while the universal readout probes provide consistent decoding across all taxa (providing broad coverage). Each local interaction between an encoding probe and its target is highly specific, yet the overall system achieves broad coverage through the universal decoding mechanism.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the simultaneous identification and spatial analysis of up to 1023 microbial taxa with high accuracy, revealing complex microbial interactions and spatial organization in diverse environments.
Implementation Method 1
spectral imaging for high phylogenetic resolution
Implementation Method 2
Each probe is hybridized to a different target sequence
Data Source
AI summary
Micron scale biogeography is a major driver of physiology and ecology of complex microbial biofilm communities, which remains elusive largely due to the lack of tools for spatially resolved phylogenetic mapping. This disclosure provides methods, computer-readable storage devices and kits that allow highly multiplexed and spatially resolved imaging of microbial community spatial organization. The disclosure provides a highly-multiplexed approach to resolve the spatial structure of complex microbial community at high taxonomic resolution.