Endophyte Strain Selection Using Genetic and Metabolic Analysis
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Solution Overview
Problem
Current methods for breeding and identifying endophytes, particularly Neotyphodium endophytes, face challenges such as low inoculation frequencies, instability in elite germplasm, and difficulties in delivering desired traits, limiting their agricultural applications.
Innovation Solution
A method involving genetic and metabolic analysis of endophytes using SSR markers and nucleic acid profiling to select and characterize endophyte strains with desired traits, including the use of mating-type genes and hybridization for molecular breeding, and the identification of novel endophyte strains like E1 with high inoculation success and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional breeding methods are used for endophytes, then natural association is maintained, but inoculation frequency is low and stability in elite germplasm is poor
Solution Approach 1:
The patent replaces traditional mechanical/natural breeding methods with molecular biology techniques including PCR-based marker-assisted selection, DNA sequencing, and genetic transformation. This substitution enables precise identification and selection of endophyte strains with desired traits, significantly improving both inoculation frequency and stability in elite germplasm while maintaining natural association characteristics.
Solution Approach 2:
The patent creates molecular copies of endophyte DNA through PCR amplification and sequencing to identify and select specific strains. This copying process allows rapid multiplication and distribution of successful endophyte strains without relying on slow natural propagation, thereby increasing inoculation frequency while maintaining strain stability.
2Measurement precision
If molecular analysis methods are implemented, then endophyte identification and selection precision is improved, but method complexity and cost increase
Solution Approach 1:
The patent divides the complex molecular analysis process into discrete, manageable segments: DNA extraction, PCR amplification of specific markers, gel electrophoresis, sequencing, and data analysis. This segmentation makes the complex methodology more systematic and reproducible, reducing the barrier to entry while maintaining high identification precision for endophyte strains.
Solution Approach 2:
The patent introduces molecular markers (such as SSR markers and DNA sequences) as intermediaries between the endophyte organism and the selection process. These markers serve as detectable proxies that simplify identification and selection, reducing the direct complexity of analyzing entire genomes while maintaining precise endophyte characterization.
3Reliability
If endophyte strains with desired metabolic profiles are selected, then agricultural performance is improved, but the breeding process becomes more time-consuming
Solution Approach 1:
The patent performs preliminary molecular characterization and metabolic profiling of endophyte strains before the actual breeding process. By pre-screening for desired traits such as stress tolerance, pest resistance, and metabolic profiles using PCR markers and DNA sequencing, the process eliminates time-consuming trial-and-error testing later, significantly reducing overall breeding duration while ensuring agricultural performance.
Solution Approach 2:
The patent implements continuous molecular monitoring and selection throughout the breeding process using PCR-based markers and DNA sequencing. This continuous action allows real-time tracking of endophyte strain characteristics, ensuring desired traits are maintained and improved without interruption, thereby reducing the time required compared to traditional intermittent selection methods.
Data Source
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AI summary
The present invention relates to a method for identifying and/or characterising an endophyte strain, said method including providing a plurality of samples of endophytes, subjecting said endophytes to genetic analysis, subjecting said endophytes to metabolic analysis and selecting endophytes having a desired genetic and metabolic profile.