Metagenomic Reconstruction of Adeno-Associated Virus Genomes

View at publisher
Authors: Olena Maiakovska, Lukas Link, Margarita Zayas, Yumi Sano, Teng Wei Koay, Kleopatra Rapti, Jixin Liu, Felix Bubeck, Man Xu, Conradin Baumgartl, Ellen Wiedtke, Chiara Krämer
+2 more Lena Naber, Dirk Grimm
Cited by: 1
References: 95

Abstract

The exponential expansion of metagenomic data obtained through high-throughput sequencing technologies has surpassed the petabyte-scale threshold, resulting in an unprecedented abundance of data now enabling the in silico discovery of previously unknown viral and bacterial species. Here, we demonstrate the power and promise of mining sequencing data to uncover natural adeno-associated virus (AAV) cap(sid) genes, with the synergistic aims to expand our repertoire of templates for vector development and to enhance our understanding of the AAV space and of virus evolution across species. Specifically, we harnessed the Serratus Explorer to identify 29 AAV variant genomes from publicly accessible raw metagenomic data generated from birds, nonhuman primates, or human samples, of which 16 were classified as high-quality based on the high coverage of their cap region. To this end, we devised a comprehensive computational pipeline comprising (i) reference candidate selection, (ii) prealigned data acquisition, (iii) variant calling and frequency estimation, (iv) consensus calling, (v) variant resolution, (vi) phylogenetic analysis, and (vii) protein structure analysis steps. Eight representative cap genes from four different host organism species were synthesized and used to produce so-called metAAV vectors, which exhibited intriguing and biomedically relevant properties including partial escape from neutralizing anti-AAV antibodies and muscle tropism combined with robust liver detargeting in systemically injected mice. We concurrently pursued a conventional, reference-independent metagenome-based genome assembly, which also successfully reconstructed AAV cap genes but solely for abundant variants. Together with the fact that this traditional reference-independent method necessitates substantial computational resources and misses to accurately resolve multiple closely related variants, this highlights the assets and superiority of our original consensus-based reconstruction pipeline for fundamental virus research and for future gene therapy vector bioengineering.

Fields of Study & Subjects

Virus-based gene therapy research CRISPR and Genetic Engineering bioluminescence and chemiluminescence research

Publication details

Journal / source
Human Gene Therapy
Publisher
SAGE Publications
Volume
37
Issue
15-16
Pages
713–732
Publication date
12 February 2026
Language
EN