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. 2022 May;8(5):mgen000836.
doi: 10.1099/mgen.0.000836.

Target-enrichment sequencing yields valuable genomic data for challenging-to-culture bacteria of public health importance

Affiliations

Target-enrichment sequencing yields valuable genomic data for challenging-to-culture bacteria of public health importance

Tristan P W Dennis et al. Microb Genom. 2022 May.

Abstract

Genomic data contribute invaluable information to the epidemiological investigation of pathogens of public health importance. However, whole-genome sequencing (WGS) of bacteria typically relies on culture, which represents a major hurdle for generating such data for a wide range of species for which culture is challenging. In this study, we assessed the use of culture-free target-enrichment sequencing as a method for generating genomic data for two bacterial species: (1) Bacillus anthracis, which causes anthrax in both people and animals and whose culture requires high-level containment facilities; and (2) Mycoplasma amphoriforme, a fastidious emerging human respiratory pathogen. We obtained high-quality genomic data for both species directly from clinical samples, with sufficient coverage (>15×) for confident variant calling over at least 80% of the baited genomes for over two thirds of the samples tested. Higher qPCR cycle threshold (Ct) values (indicative of lower pathogen concentrations in the samples), pooling libraries prior to capture, and lower captured library concentration were all statistically associated with lower capture efficiency. The Ct value had the highest predictive value, explaining 52 % of the variation in capture efficiency. Samples with Ct values ≤30 were over six times more likely to achieve the threshold coverage than those with a Ct > 30. We conclude that target-enrichment sequencing provides a valuable alternative to standard WGS following bacterial culture and creates opportunities for an improved understanding of the epidemiology and evolution of many clinically important pathogens for which culture is challenging.

Keywords: Bacillus anthracis; Mycoplasma amphoriforme; RNA baits; bacteria; genomic; target-enrichment sequencing.

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Conflict of interest statement

A.D. and B.B. are employed by Daicel Arbor Biosciences, which sells the myBaits Custom hybridization capture kits utilized in this study. The other authors declare that there are no conflicts of interest.

Figures

Fig. 1.
Fig. 1.
Target-enrichment sequencing outcomes. (a) Mean depth-of-coverage over baited regions of the reference genomes, per-sample for B. anthracis (n = 93; blue) and M. amphoriforme (n = 56; orange). Both pooled and unpooled samples are included. (b) Proportion of baited genome covered to >15× per-sample; and (c) proportion of reads mapped to baited regions. Points indicate individual samples, box and whisker plots indicate maximum, minimum, upper-lower quartiles and median values.
Fig. 2.
Fig. 2.
Relationship between Ct value and capture efficiency. (a) Each point represents an individual sample, with bacterial species distinguished by colour. (b) Binomial GLMM prediction of the relationship between Ct value and capture efficiency for both species. Shading represents a 95 % prediction interval.

References

    1. Brand A, Brand H, Schulte in den Bäumen T. The impact of genetics and genomics on public health. Eur J Hum Genet. 2008;16:5–13. doi: 10.1038/sj.ejhg.5201942. - DOI - PubMed
    1. Kao RR, Haydon DT, Lycett SJ, Murcia PR. Supersize me: how whole-genome sequencing and big data are transforming epidemiology. Trends Microbiol. 2014;22:282–291. doi: 10.1016/j.tim.2014.02.011. - DOI - PMC - PubMed
    1. Sajib MSI, Tanmoy AM, Hooda Y, Rahman H, Andrews JR, et al. Tracking the emergence of azithromycin resistance in multiple genotypes of typhoidal Salmonella . mBio. 2021;12:e03481-20. doi: 10.1128/mBio.03481-20. - DOI - PMC - PubMed
    1. Brown AC, Bryant JM, Einer-Jensen K, Holdstock J, Houniet DT, et al. Rapid whole-genome sequencing of Mycobacterium tuberculosis isolates directly from clinical samples. J Clin Microbiol. 2015;53:2230–2237. doi: 10.1128/JCM.00486-15. - DOI - PMC - PubMed
    1. Sinha M, Jupe J, Mack H, Coleman TP, Lawrence SM, et al. Emerging technologies for molecular diagnosis of sepsis. Clin Microbiol Rev. 2018;31:e00089-17. doi: 10.1128/CMR.00089-17. - DOI - PMC - PubMed

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