4.7 Article

swga: a primer design toolkit for selective whole genome amplification

期刊

BIOINFORMATICS
卷 33, 期 14, 页码 2071-2077

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx118

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资金

  1. National Institutes of Health [R01 AI097137, R01 AI076342, R01 AI091595, R37 AI050529, T32 AI007532, P30 AI045008, R01 AI100877, R01 HL113252, R01 HL087115]
  2. Burroughs Wellcome Fund [1012376]

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Motivation: Population genomic analyses are often hindered by difficulties in obtaining sufficient numbers of genomes for analysis by DNA sequencing. Selective whole-genome amplification (SWGA) provides an efficient approach to amplify microbial genomes from complex backgrounds for sequence acquisition. However, the process of designing sets of primers for this method has many degrees of freedom and would benefit from an automated process to evaluate the vast number of potential primer sets. Results: Here, we present swga, a program that identifies primer sets for SWGA and evaluates them for efficiency and selectivity. We used swga to design and test primer sets for the selective amplification of Wolbachia pipientis genomic DNA from infected Drosophila melanogaster and Mycobacterium tuberculosis from human blood. We identify primer sets that successfully amplify each against their backgrounds and describe a general method for using swga for arbitrary targets. In addition, we describe characteristics of primer sets that correlate with successful amplification, and present guidelines for implementation of SWGA to detect new targets.

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