Activating Transposon Mutagenesis for Bacterial Gene Identification

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Solution Overview

Problem

Current methods for engineering bacterial cells for biotechnological applications, such as protein production and bioremediation, face challenges in identifying and optimizing genes that are either disadvantageous or advantageous for specific conditions, making it difficult to create strains that are more efficient and tractable for these uses.

Innovation Solution

The use of activating transposons (TnA) for transposon mutagenesis allows for the identification and manipulation of genes that are advantageous or disadvantageous for growth conditions, enabling the creation of mutant bacteria with improved survival and growth by removing disadvantageous genes and overexpressing advantageous ones, through a process that can be iteratively refined.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional transposon mutagenesis is used to identify genes for biotechnological applications, then genes can be identified, but it cannot distinguish between advantageous and disadvantageous genes

Engineering Contradiction:
Improvegene identification accuracyVSAvoidapplication scope
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent inverts the traditional transposon mutagenesis approach by using activating transposons that enhance gene expression instead of inactivating genes. This inversion allows the identification of advantageous genes that improve biotechnological applications, complementing the traditional method's identification of disadvantageous genes.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent creates a universal gene identification system that can identify both advantageous and disadvantageous genes using complementary approaches (traditional Tn-seq for disadvantageous genes and activating Tn-seq for advantageous genes), making the overall methodology applicable to a broader range of biotechnological optimization scenarios.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Loss of energy

If the strip down approach is used to remove non-essential genes, then metabolic burden is reduced, but genes advantageous for biotechnological applications are not identified

Engineering Contradiction:
Improvemetabolic burdenVSAvoidgene function identification
Core Design Contradiction:
Loss of energyVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where activating transposon insertion patterns are analyzed to identify genes that, when overexpressed, improve biotechnological application performance. This feedback information guides subsequent genetic engineering decisions to enhance both metabolic efficiency and application-specific performance.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent performs preliminary identification of advantageous genes through activating Tn-seq before conducting the strip down process. This preliminary action ensures that genes beneficial for biotechnological applications are identified and preserved or enhanced, rather than inadvertently removed during genome minimization.

Inventive Principle:
Principle #10Preliminary action

3Ease of manufacture

If natural bacterial strains are used directly, then no engineering is needed, but they are not optimized for biotechnological use

Engineering Contradiction:
Improvestrain development complexityVSAvoidbiotechnological performance
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The patent performs preliminary identification of both disadvantageous and advantageous genes using complementary Tn-seq approaches before engineering the bacterial strain. This preliminary genetic characterization enables targeted optimization that improves biotechnological performance while avoiding unnecessary engineering of already-optimized pathways.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent enables precise parameter changes in bacterial strains by identifying specific genes to remove (disadvantageous) and specific genes to overexpress (advantageous). This targeted parameter modification approach optimizes biotechnological performance metrics such as productivity, yield, or stress tolerance without requiring comprehensive genome reengineering.

Inventive Principle:
Principle #35Parameter changes

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

This approach enables the engineering of bacteria that are better adapted to specific growth conditions and biotechnological applications, improving their survival and growth performance, and can be applied to various biotechnological uses such as bioremediation, biofuel production, and vaccine development.

Implementation Method 1

the TnA comprises a promoter capable of increasing transcription of a gene at or near its insertion site

Methodology Applied
Scientific EffectTranscription:

Implementation Method 2

generating a pool of mutant bacteria by transposon mutagenesis with an activating transposon (TnA)

Methodology Applied
Scientific EffectTransposon mutagenesis:

Data Source

PatentEP2917346B1Bacterial engineering
Publication Date: 2018.06.06 BACTEVO
  • EP2917346B1 patent drawingFigure 1
  • EP2917346B1 patent drawingFigure 2~3B
  • EP2917346B1 patent drawingFigure 4A~4B

AI summary

Described is a process for producing a mutant bacterium which exhibits improved survival and/or growth under a selected growth condition, the process comprising the steps of: (a) generating a pool of mutant bacteria by transposon mutagenesis with an activating transposon (TnA), wherein the TnA comprises a promoter capable of increasing transcription of a gene at or near its insertion site; (b) growing bacteria from the mutant pool under the selected growth condition and under one or more reference conditions to produce two or more test cultures; and (c) comparing the distribution of TnA insertions between test cultures to identify a first class of genes which are disadvantageous for growth and/or survival under the selected growth condition and a second class of genes which are advantageous for growth and/or survival under the selected growth condition.