swga: a primer design toolkit for selective whole genome amplification

Area of Science:

• Genomics
• Bioinformatics
• Microbial Ecology

Background:

• Population genomic analyses require substantial genome data, often limited by DNA sequencing challenges.
• Selective whole-genome amplification (SWGA) is crucial for amplifying microbial genomes from complex samples.
• Designing effective primer sets for SWGA is complex and benefits from automation.

Purpose of the Study:

• To present `swga`, a novel program for designing and evaluating primer sets for SWGA.
• To automate the selection of efficient and selective primer sets for microbial genome amplification.
• To provide a generalizable method for applying SWGA to new targets.

Main Methods:

• Development of the `swga` program using Python and C.
• Application of `swga` to design primer sets for *Wolbachia pipientis* and *Mycobacterium tuberculosis*.
• Evaluation of primer set efficiency and selectivity in amplifying target genomes from host backgrounds.

Main Results:

• Successful identification of primer sets for selective amplification of *W. pipientis* from *Drosophila melanogaster* and *M. tuberculosis* from human blood.
• Demonstration of a generalizable method for using `swga` with arbitrary genomic targets.
• Characterization of primer set features correlating with successful amplification.

Conclusions:

• The `swga` program effectively automates primer set design for SWGA.
• The findings provide guidelines for implementing SWGA for novel microbial targets.
• This tool enhances the feasibility of population genomic studies by improving genome acquisition.