Plant Expression Library Transformation for Unknown Trait Discovery
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Solution Overview
Problem
Current methods for identifying and expressing desirable plant traits in genetic engineering are limited to known sequences and activities, often requiring predictable environmental interactions, and do not effectively screen for unknown sequences that could confer improved traits in plants.
Innovation Solution
A method involving obtaining genetic material from predefined sources, constructing an expression library, transforming plants with this library at high efficiency, and screening for desirable traits in the target plants, using genome editing systems like CRISPR to introduce and edit target genes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional screening methods are used to identify plant traits, then known sequences and activities can be screened, but unknown sequences conferring improved traits cannot be effectively identified
Solution Approach 1:
Instead of screening for known sequences and then testing in plants, the invention inverts the approach by first transforming plants with expression libraries and then screening for desirable phenotypes directly in the target organism. This phenotype-first approach allows identification of unknown sequences that confer improved traits without being limited to pre-characterized gene functions.
Solution Approach 2:
The invention uses an expression library as an intermediary medium containing diverse genetic sequences. This library serves as a bridge between unknown genetic material and phenotypic screening, allowing functional identification of sequences that would be inaccessible to conventional sequence-based screening methods.
2Adaptability or versatility
If expression libraries are transformed into plants for trait identification, then novel genes can be discovered, but the transformation process is complex and time-consuming
Solution Approach 1:
The invention prepares expression libraries in advance containing diverse genetic sequences from various sources. This preliminary construction of comprehensive libraries allows subsequent plant transformation experiments to focus solely on phenotypic screening rather than also performing sequence analysis, thereby simplifying the overall process.
3Adaptability or versatility
If plants are transformed with expression libraries to screen for desirable traits, then unknown sequences can be identified, but screening efficiency is reduced compared to known sequence screening
Solution Approach 1:
The invention extracts and expresses individual sequences from complex expression libraries within plant cells. By utilizing the plant's cellular machinery to express and phenotype-test numerous sequences simultaneously, the method efficiently identifies functional unknown sequences that would be impractical to screen using traditional in vitro approaches.
Data Source
AI summary
The present invention discloses a method for screening for and identifying a desirable plant improving trait, said method comprises steps of: (a) obtaining genetic material from a sampling of a predefined source and (b) constructing an expression library from said genetic material. The aforementioned method further comprises steps of: (c) producing plants transformed with said expression library at a transformation efficiency of at least 0.05%-30%, representing at least 102-1010 trangenes; (d) screening for transformed plants expressing said desirable trait; and (e) identifying said transgene of said transformed plants expressing said desirable trait.