Advancing animal tuberculosis surveillance using culture-independent long-read whole-genome sequencing

Giovanni Ghielmetti, Johannes Loubser, Tanya J. Kerr, Tod Stuber, Tyler Thacker, Lauren C. Martin, Michaela A. O'Hare, Sinegugu K. Mhlophe, Abisola Okunola, Andre G. Loxton, Robin M. Warren, Mark H. Moseley, Michele A. Miller, Wynand J. Goosen* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Animal tuberculosis is a significant infectious disease affecting both livestock and wildlife populations worldwide. Effective disease surveillance and characterization of Mycobacterium bovis (M. bovis) strains are essential for understanding transmission dynamics and implementing control measures. Currently, sequencing of genomic information has relied on culture-based methods, which are time-consuming, resource-demanding, and concerning in terms of biosafety. This study explores the use of culture-independent long-read whole-genome sequencing (WGS) for a better understanding of M. bovis epidemiology in African buffaloes (Syncerus caffer). By comparing two sequencing approaches, we evaluated the efficacy of Illumina WGS performed on culture extracts and culture-independent Oxford Nanopore adaptive sampling (NAS). Our objective was to assess the potential of NAS to detect genomic variants without sample culture. In addition, culture-independent amplicon sequencing, targeting mycobacterial-specific housekeeping and full-length 16S rRNA genes, was applied to investigate the presence of microorganisms, including nontuberculous mycobacteria. The sequencing quality obtained from DNA extracted directly from tissues using NAS is comparable to the sequencing quality of reads generated from culture-derived DNA using both NAS and Illumina technologies. We present a new approach that provides complete and accurate genome sequence reconstruction, culture independently, and using an economically affordable technique.
Original languageEnglish
Article number1307440
Number of pages13
JournalFrontiers in Microbiology
Volume14
Early online date21 Nov 2023
DOIs
Publication statusPublished - 21 Nov 2023

Bibliographical note

Acknowledgments
Some of the figures (Figures 4–6 and Supplementary Material S1) were generated using BioRender and draw.io, respectively.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Wellcome Foundation (grant #222941/Z/21/Z), the South African Medical Research Council, American Association of Zoo Veterinarians Wild Animal Health Fund [S005651 and S007355], the National Research Foundation South African Research Chair Initiative [grant #86949], and MHM was supported by Wellcome
Trust (grant #216634/Z/19/Z). AGL is supported by the EDCTP TESA III network (CSA2020NoE-3104).

Data Availability Statement

Data availability statement
The datasets presented in this study can be found in online repositories available at: ncbi.nlm.nih.gov/bioproject/PRJEB63553 under project reference number PRJEB63553

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