Field Resistance Mapping Using On-Site DNA Sequencing
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Solution Overview
Problem
Current methods and systems are inadequate for promptly identifying and monitoring the spread of resistances in harmful organisms to control agents, leading to regulatory and logistical barriers.
Innovation Solution
A method and system for collecting samples of harmful organisms, determining their geocoordinates, sequencing DNA/RNA, and analyzing for resistance markers, which are then entered into a resistance map, with processing and sequencing occurring at the same location to enable rapid data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sample processing and DNA sequencing are performed at centralized laboratories, then analysis quality and equipment availability are improved, but time for resistance identification increases and rapid monitoring capability deteriorates
Solution Approach 1:
The centralized laboratory system is segmented into portable field devices that can be deployed at multiple locations. The DNA sequencing and processing capabilities are divided into modular units that can operate independently in the field, eliminating the need to transport samples to centralized facilities while maintaining analysis quality through standardized protocols and equipment design.
Solution Approach 2:
The system transitions from a single centralized location model to a distributed multi-location model. By adding the spatial dimension of field deployment, the system enables simultaneous processing at multiple sites, reducing overall identification time while maintaining quality through replication of capabilities across different locations.
2Productivity
If portable field devices are deployed for sample processing and sequencing, then speed of resistance detection is improved, but device complexity and logistical requirements increase
Solution Approach 1:
Multiple functions (sample collection, processing, DNA extraction, sequencing, and data analysis) are merged into a single integrated portable field device. This consolidation reduces the number of separate equipment pieces and logistical steps required, making the complex system more manageable while maintaining high detection speed through streamlined workflows.
Solution Approach 2:
The field device is designed with universal capabilities to handle multiple sample types and processing requirements in a single platform. This multi-functionality reduces the need for specialized equipment for different tasks, simplifying logistics while maintaining productivity across diverse agricultural monitoring scenarios.
3Measurement precision
If comprehensive DNA sequencing and resistance marker analysis are performed, then accuracy of resistance identification is improved, but cost and resource requirements increase
Solution Approach 1:
The system extracts and analyzes only the specific DNA sequences and resistance markers that are relevant to the monitoring objectives, rather than sequencing entire genomes. This targeted approach maintains high identification accuracy by focusing on critical genetic regions while significantly reducing the quantity of sequencing resources and computational power required.
Solution Approach 2:
The system performs partial sequencing focused on resistance-related genes rather than complete genome sequencing. This partial action approach provides sufficient accuracy for resistance identification purposes while conserving resources by avoiding unnecessary sequencing of non-relevant genomic regions.
Data Source
AI summary
A method and a system for the detection and acquisition of resistances of harmful organisms to pest control agents. The system is configured to establish a resistance map, in which information regarding the resistance of one or more harmful organisms to one or more control agents is recorded for a field or a plurality of fields for the cultivation of cultivated plants.