Single Nucleotide Polymorphism-based Identification of Bacterial Artificial Chromosome-mediated Homologous...

Area of Science:

• Molecular Biology
• Genetics
• Bioengineering

Background:

• Bacterial Artificial Chromosome (BAC) recombineering is a key technique for developing recombinant genetic resources.
• BAC constructs with long homology arms (>150 kb) enhance genetic recombination and offer single nucleotide polymorphisms (SNPs) as markers.
• Accurate docking of BAC constructs relies on matching SNP profiles between the construct and the target site.

Purpose of the Study:

• To introduce and evaluate methods for validating BAC recombineering based on SNP pattern alterations.
• To demonstrate how SNP profiling confirms precise replacement of target genomic loci with BAC constructs.
• To facilitate the production of therapeutic resources and disease models using BAC-mediated homologous recombination.

Main Methods:

• Utilized BAC constructs with long homology arms (>150 kb) containing distinct SNP variations.
• Employed restriction fragment length polymorphism (RFLP) and single-strand conformation polymorphism (SSCP) analyses.
• Validated BAC recombination by assessing changes in SNP patterns post-recombination.

Main Results:

• SNP alterations within the target genomic locus accurately reflected the SNP profile of the introduced BAC construct.
• RFLP and SSCP analyses effectively validated BAC recombination events by detecting these SNP changes.
• The methods provided a simple, economical validation solution for large homologous sequences.

Conclusions:

• SNP pattern analysis is a reliable method for confirming precise BAC-mediated homologous recombination.
• This approach simplifies the validation process, making BAC technology more accessible.
• Facilitates the development of advanced therapeutic resources and disease models.