Algorithm characterizes long DNA sequence reads in AAV samples, revealing structural details and minor species.
Adeno-Associated Virus (AAV), a common vector used in human gene therapy, is a challenging organism for DNA sequencing because its replication cycle results in structural rearrangements. In addition, the AAV manufacturing process can produce small fractions of viral particles containing host cell DNA and/or fragments of the helper plasmids. Pacific Biosciences (PacBio) long-read sequencers are capable of full length, single molecule sequencing of AAV viral genomes, but the analysis of the data is challenging. We present a simple algorithm for determining the arrangement of functional elements of single DNA molecules which can be aggregated to provide a sensitive measure of the population of sequences in a sample, including minor species. Using data from four publicly available datasets, we demonstrate our algorithm is able to characterize nearly all of the species in the AAV samples.
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Bruccoleri et al. (2025) studied this question.
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