Antimicrobial Gene Mining via Clone Coverage Analysis
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Solution Overview
Problem
Current methods for identifying antimicrobial genes in microbial genomes face challenges, particularly in cloning toxic genes into E. coli, which are often unclonable due to their negative effects on bacterial growth, and existing techniques struggle to detect genes with low clone coverage that may encode toxic proteins or RNAs.
Innovation Solution
A method involving read mapping, clone coverage calculation, genomic region identification, toxicity level determination, and experimental validation to identify antimicrobial genes in microbial genomes by focusing on regions with low or zero clone coverage, which are likely to contain highly toxic genes, and subsequent experimental testing of these genes for bactericidal or bacteriostatic effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If toxic genes are cloned into E. coli for study, then gene function can be investigated, but the genes are unclonable due to their negative effects on bacterial growth
Solution Approach 1:
The patent applies preliminary action by analyzing clone coverage data from genome sequencing before attempting to clone genes. By identifying regions with low or zero clone coverage in advance, researchers can predict which genes are likely toxic and avoid cloning them into E. coli, thus preventing the harmful effect before it occurs.
Solution Approach 2:
The patent uses clone coverage data as an intermediary indicator to indirectly identify toxic genes without directly testing them in E. coli. This intermediary approach allows prediction of gene toxicity based on sequencing data patterns, avoiding the need to actually clone and test potentially harmful genes in the host organism.
2Loss of information
If conventional sequencing methods are used, then genome data can be obtained, but genes with low clone coverage that encode toxic proteins are difficult to detect
Solution Approach 1:
The patent implements feedback by using clone coverage data from genome sequencing to identify and prioritize toxic genes for further study. The low clone coverage regions serve as feedback signals that indicate the presence of toxic genes, guiding researchers to focus their attention on these specific genomic regions rather than treating all genes equally.
Solution Approach 2:
The patent applies local quality by analyzing clone coverage at specific genomic regions rather than uniformly across the entire genome. By identifying localized regions with low or zero clone coverage, the method concentrates investigative resources on specific areas most likely to contain toxic genes, improving detection efficiency.
Data Source
AI summary
We describe a method for mining microbial genomes to discover antimicrobial genes and proteins having broad spectrum of activity. Also described are antimicrobial genes and their expression products from various microbial genomes that were found using this method. The products of such genes can be used as antimicrobial agents or as tools for molecular biology.