Skip to content
1887

Graphical Abstract

Graphical Abstract

Using target enrichment, RNA baits designed around a panel of bacterial sexually transmitted infections were used to fish target DNA from the clinical sample, leading to complete bacterial genome sequences.

Abstract

Rates of bacterial sexually transmitted infections (STIs) are rising, and accessing their genomes provides information on strain evolution, circulating strains and encoded antimicrobial resistance (AMR). Notable pathogens include (CT), (NG) and (TP), globally the most common bacterial STIs. (formerly ) (MG) is also a bacterial STI that is of concern due to AMR development. These bacteria are also fastidious or hard to culture, and standard sampling methods lyse bacteria, completely preventing pathogen culture. Clinical samples contain large amounts of human and other microbiota DNA. These factors hinder the sequencing of bacterial STI genomes. We aimed to overcome these challenges in obtaining whole-genome sequences and evaluated four approaches using clinical samples from Argentina (39), and Switzerland (14), and cultured samples from Finland (2) and Argentina (1). First, direct genome sequencing from swab samples was attempted through Illumina deep metagenomic sequencing, showing extremely low levels of target DNA, with under 0.01% of the sequenced reads being from the target pathogens. Second, host DNA depletion followed by Illumina sequencing was not found to produce enrichment in these very low-load samples. Third, we tried a selective long-read approach with the new adaptive sequencing from Oxford Nanopore Technologies, which also did not improve enrichment sufficiently to provide genomic information. Finally, target enrichment using a novel pan-genome set of custom SureSelect probes targeting CT, NG, TP and MG followed by Illumina sequencing was successful. We produced whole genomes from 64% of CT-positive samples, from 36% of NG-positive samples and 60% of TP-positive samples. Additionally, we enriched MG DNA to gain partial genomes from 60% of samples. This is the first publication to date to utilize a pan-genome STI panel in target enrichment. Target enrichment, though costly, proved essential for obtaining genomic data from clinical samples. These data can be utilized to examine circulating strains and genotypic resistance and guide public health strategies.

Funding
This study was supported by the:
  • Universidad de Buenos Aires (Award 20020190100357BA)
    • Principal Award Recipient: KarinaAndrea Büttner
  • Universidad de Buenos Aires (Award UBACYT 20020150100223BA)
    • Principal Award Recipient: KarinaAndrea Büttner
  • Bangerter-Rhyner-Stiftung (Award STIDirect)
    • Principal Award Recipient: HelenaSeth-Smith
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Loading

Article metrics loading...

/content/journal/mgen/10.1099/mgen.0.001353
2025-02-13
2026-03-08

Metrics

Loading full text...

Full text loading...

/deliver/fulltext/mgen/11/2/mgen001353.html?itemId=/content/journal/mgen/10.1099/mgen.0.001353&mimeType=html&fmt=ahah

References

  1. Constantinides B, Hunt M, Crook DW. Hostile: accurate decontamination of microbial host sequences. Bioinformatics 2023; 39:btad728 [View Article] [PubMed]
    [Google Scholar]
  2. World Health Organisation Implementing the global health sector strategies on HIV, viral hepatitis and sexually transmitted infections, 2022–2030: report on progress and gaps, 2nd edn. World Health Organisation; 2024 https://iris.who.int/bitstream/handle/10665/378246/9789240097872-eng.pdf?sequence=1 accessed 19 September 2024
  3. Du M, Yan W, Jing W, Qin C, Liu Q et al. Increasing incidence rates of sexually transmitted infections from 2010 to 2019: an analysis of temporal trends by geographical regions and age groups from the 2019 Global Burden of Disease Study. BMC Infect Dis 2022; 22:574 [View Article]
    [Google Scholar]
  4. Zheng Y, Yu Q, Lin Y, Zhou Y, Lan L et al. Global burden and trends of sexually transmitted infections from 1990 to 2019: an observational trend study. Lancet Infect Dis 2022; 22:541–551 [View Article] [PubMed]
    [Google Scholar]
  5. Unemo M, Bradshaw CS, Hocking JS, de Vries HJC, Francis SC et al. Sexually transmitted infections: challenges ahead. Lancet Infect Dis 2017; 17:e235–e279 [View Article] [PubMed]
    [Google Scholar]
  6. Williamson DA, Chen MY. emerging and reemerging Sexually transmitted infections. N Engl J Med 2020; 382:2023–2032 [View Article] [PubMed]
    [Google Scholar]
  7. World health organisation Chlamydia [Internet]. World Health Organisation; 2023 accessed 19 September 2024
  8. World Health Organisation Gonorrhoea (neisseria gonorrhoeae infection)[Internet]. World Health Organisation; 2024 https://www.who.int/news-room/fact-sheets/detail/gonorrhoea-(neisseria-gonorrhoeae-infection) accessed 19 September 2024
  9. Elwell C, Mirrashidi K, Engel J. Chlamydia cell biology and pathogenesis. Nat Rev Microbiol 2016; 14:385–400
    [Google Scholar]
  10. Seth-Smith HMB, Thomson NR. Whole-genome sequencing of bacterial sexually transmitted infections: implications for clinicians. Curr Opin Infect Dis 2013; 26:90–98 [View Article] [PubMed]
    [Google Scholar]
  11. Taylor-Brown A, Pillonel T, Bridle A, Qi W, Bachmann NL et al. Culture-independent genomics of a novel chlamydial pathogen of fish provides new insight into host-specific adaptations utilized by these intracellular bacteria. Environ Microbiol 2017; 19:1899–1913 [View Article] [PubMed]
    [Google Scholar]
  12. Jennison A, Pasricha S, Azzato F. Direct sequencing technologies for bacterial sexually transmitted infections. Microbiol Aust 2024; 45:112–116 [View Article]
    [Google Scholar]
  13. Isidro J, Escudero R, Luque-Larena JJ, Pinto M, Borges V et al. Strengthening the genomic surveillance of Francisella tularensis by using culture-free whole-genome sequencing from biological samples. Front Microbiol 2023; 14:1277468 [View Article] [PubMed]
    [Google Scholar]
  14. Dennis TPW, Mable BK, Brunelle B, Devault A, Carter RW et al. Target-enrichment sequencing yields valuable genomic data for challenging-to-culture bacteria of public health importance. Microb Genom 2022; 8:mgen000836 [View Article] [PubMed]
    [Google Scholar]
  15. Jelocnik M, Bachmann NL, Kaltenboeck B, Waugh C, Woolford L et al. Genetic diversity in the plasticity zone and the presence of the chlamydial plasmid differentiates Chlamydia pecorum strains from pigs, sheep, cattle, and koalas. BMC Genomics 2015; 16:893 [View Article] [PubMed]
    [Google Scholar]
  16. Dugat T, Rossignol M-N, Rué O, Loux V, Marthey S et al. Draft Anaplasma phagocytophilum genome sequences from five cows, two horses, and one roe deer collected in Europe. Genome Announc 2016; 4:e00950-16 [View Article] [PubMed]
    [Google Scholar]
  17. Dugat T, Loux V, Marthey S, Moroldo M, Lagrée A-C et al. Comparative genomics of first available bovine Anaplasma phagocytophilum genome obtained with targeted sequence capture. BMC Genomics 2014; 15:973 [View Article] [PubMed]
    [Google Scholar]
  18. Clark SA, Doyle R, Lucidarme J, Borrow R, Breuer J. Targeted DNA enrichment and whole genome sequencing of Neisseria meningitidis directly from clinical specimens. Int J Med Microbiol 2018; 308:256–262 [View Article] [PubMed]
    [Google Scholar]
  19. White RT, Anstey SI, Kasimov V, Jenkins C, Devlin J et al. One clone to rule them all: Culture-independent genomics of Chlamydia psittaci from equine and avian hosts in Australia. Microb Genom 2022; 8:mgen000888 [View Article] [PubMed]
    [Google Scholar]
  20. 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 [View Article] [PubMed]
    [Google Scholar]
  21. Vezzulli L, Grande C, Tassistro G, Brettar I, Höfle MG et al. Whole-genome enrichment provides deep insights into Vibrio cholerae metagenome from an African river. Microb Ecol 2017; 73:734–738 [View Article] [PubMed]
    [Google Scholar]
  22. Christiansen MT, Brown AC, Kundu S, Tutill HJ, Williams R et al. Whole-genome enrichment and sequencing of Chlamydia trachomatis directly from clinical samples. BMC Infect Dis 2014; 14:591 [View Article] [PubMed]
    [Google Scholar]
  23. Hadfield J, Harris SR, Seth-Smith HMB, Parmar S, Andersson P et al. Comprehensive global genome dynamics of Chlamydia trachomatis show ancient diversification followed by contemporary mixing and recent lineage expansion. Genome Res 2017; 27:1220–1229 [View Article]
    [Google Scholar]
  24. Seth-Smith HMB, Bénard A, Bruisten SM, Versteeg B, Herrmann B et al. Ongoing evolution of Chlamydia trachomatis lymphogranuloma venereum: exploring the genomic diversity of circulating strains. Microb Genom 2021; 7:000599 [View Article] [PubMed]
    [Google Scholar]
  25. Pitt R, Doyle R, Theilgaard Christiansen M, Horner P, Hathorn E et al. Whole-genome sequencing of Chlamydia trachomatis isolates from persistently infected patients. Int J Std Aids 2022; 33:442–446 [View Article] [PubMed]
    [Google Scholar]
  26. Alkhidir AAI, Holland MJ, Elhag WI, Williams CA, Breuer J et al. Whole-genome sequencing of ocular Chlamydia trachomatis isolates from Gadarif State, Sudan. Parasit Vectors 2019; 12:518 [View Article] [PubMed]
    [Google Scholar]
  27. Bowden KE, Joseph SJ, Cartee JC, Ziklo N, Danavall D et al. Whole-genome enrichment and sequencing of Chlamydia trachomatis directly from patient clinical vaginal and rectal swabs. mSphere 2021; 6:e01302–20 [View Article]
    [Google Scholar]
  28. Borges V, Cordeiro D, Salas AI, Lodhia Z, Correia C et al. Chlamydia trachomatis: when the virulence-associated genome backbone imports a prevalence-associated major antigen signature. Microb Genom 2019; 5:e000313 [View Article] [PubMed]
    [Google Scholar]
  29. Street TL, Sanderson ND, Barker L, Kavanagh J, Cole K et al. Target enrichment improves culture-independent detection of Neisseria gonorrhoeae and antimicrobial resistance determinants direct from clinical samples with Nanopore sequencing. Microb Genom 2024; 10:001208 [View Article] [PubMed]
    [Google Scholar]
  30. Beale MA, Marks M, Sahi SK, Tantalo LC, Nori AV et al. Genomic epidemiology of syphilis reveals independent emergence of macrolide resistance across multiple circulating lineages. Nat Commun 2019; 10:3255 [View Article] [PubMed]
    [Google Scholar]
  31. Beale MA, Marks M, Cole MJ, Lee M-K, Pitt R et al. Global phylogeny of Treponema pallidum lineages reveals recent expansion and spread of contemporary syphilis. Nat Microbiol 2021; 6:1549–1560 [View Article] [PubMed]
    [Google Scholar]
  32. Beale MA, Thorn L, Cole MJ, Pitt R, Charles H et al. Genomic epidemiology of syphilis in England: a population-based study. Lancet Microbe 2023; 4:e770–e780 [View Article] [PubMed]
    [Google Scholar]
  33. Taouk ML, Taiaroa G, Pasricha S, Herman S, Chow EPF et al. Characterisation of Treponema pallidum lineages within the contemporary syphilis outbreak in Australia: A genomic epidemiological analysis. Lancet Microbe 2022; 3:e417–e426 [View Article] [PubMed]
    [Google Scholar]
  34. Lieberman NAP, Lin MJ, Xie H, Shrestha L, Nguyen T et al. Treponema pallidum genome sequencing from six continents reveals variability in vaccine candidate genes and dominance of Nichols clade strains in Madagascar. PLoS Negl Trop Dis 2021; 15:e0010063 [View Article] [PubMed]
    [Google Scholar]
  35. Furtwängler A, Neukamm J, Böhme L, Reiter E, Vollstedt M et al. Comparison of target enrichment strategies for ancient pathogen DNA. Biotechniques 2020; 69:455–459 [View Article] [PubMed]
    [Google Scholar]
  36. Sundararaman B, Sylvester MD, Kozyreva VK, Berrada ZL, Corbett-Detig RB et al. A hybridization target enrichment approach for pathogen genomics. mBio 2023; 14:e0188923 [View Article] [PubMed]
    [Google Scholar]
  37. Quek ZBR, Ng SH. Hybrid-capture target enrichment in human pathogens: identification, evolution, biosurveillance, and genomic epidemiology. Pathogens 2024; 13:275 [View Article]
    [Google Scholar]
  38. Hovhannisyan H, Rodríguez A, Saus E, Vaneechoutte M, Gabaldón T. Multiplexed target enrichment of coding and non-coding transcriptomes enables studying Candida spp. infections from human derived samples. Front Cell Infect Microbiol 2023; 13:1093178 [View Article] [PubMed]
    [Google Scholar]
  39. Chung M, Teigen L, Liu H, Libro S, Shetty A et al. Targeted enrichment outperforms other enrichment techniques and enables more multi-species RNA-Seq analyses. Sci Rep 2018; 8:13377 [View Article]
    [Google Scholar]
  40. Lanza VF, Baquero F, Martínez JL, Ramos-Ruíz R, González-Zorn B et al. In-depth resistome analysis by targeted metagenomics. Microbiome 2018; 6:11 [View Article] [PubMed]
    [Google Scholar]
  41. Marre S, Gasc C, Forest C, Lebbaoui Y, Mosoni P et al. Revealing microbial species diversity using sequence capture by hybridization. Microb Genom 2021; 7:000714 [View Article] [PubMed]
    [Google Scholar]
  42. Jain K, Tagliafierro T, Marques A, Sanchez-Vicente S, Gokden A et al. Development of a capture sequencing assay for enhanced detection and genotyping of tick-borne pathogens. Sci Rep 2021; 11:12384 [View Article] [PubMed]
    [Google Scholar]
  43. Workowski KA, Bolan GA. Centers for disease control and prevention. sexually transmitted diseases treatment guidelines, 2015. MMWR Recomm Rep 2015; 64:1–137
    [Google Scholar]
  44. de Vries HJC, de Barbeyrac B, de Vrieze NHN, Viset JD, White JA et al. 2019 European guideline on the management of lymphogranuloma venereum. J Eur Acad Dermatol Venereol 2019; 33:1821–1828 [View Article] [PubMed]
    [Google Scholar]
  45. Freind MC, Tallón de Lara C, Kouyos RD, Wimmersberger D, Kuster H et al. Cohort Profile: The Zurich Primary HIV Infection Study. Microorganisms 2024; 12:302 [View Article] [PubMed]
    [Google Scholar]
  46. Scherrer AU, Traytel A, Braun DL, Calmy A, Battegay M et al. Cohort profile update: the Swiss HIV Cohort Study (SHCS). Int J Epidemiol 2022; 51:33–34j [View Article] [PubMed]
    [Google Scholar]
  47. Rodríguez Fermepin M, Domínguez VL, Mestre M, Palavezzati S, Wachsman M et al. Importance of the choice and monitoring of culture systems and developments in the diagnosis of infection by Chlamydia. Rev Argent Microbiol 1999; 31 Suppl 1:21–23 [PubMed]
    [Google Scholar]
  48. Lan J, Walboomers JM, Roosendaal R, van Doornum GJ, MacLaren DM et al. Direct detection and genotyping of Chlamydia trachomatis in cervical scrapes by using polymerase chain reaction and restriction fragment length polymorphism analysis. J Clin Microbiol 1993; 31:1060–1065 [View Article] [PubMed]
    [Google Scholar]
  49. Büttner KA, Entrocassi AC, Gallo Vaulet ML, López Aquino D, Caffarena D et al. ompA sequencing and multilocus sequence typing of lymphogranuloma venereum cases in Buenos Aires reveal new Chlamydia trachomatis genotypes. Microorganisms 2024; 12:587 [View Article] [PubMed]
    [Google Scholar]
  50. Wahlström E, Väänänen P, Saikku P, Nurminen M. Processing of McCoy cell cultures infected with Chlamydia trachomatis: sequential isolation of chlamydial elementary bodies and lipopolysaccharide. FEMS Microbiol Lett 1984; 24:179–183 [View Article]
    [Google Scholar]
  51. Korhonen S, Hokynar K, Mannonen L, Paavonen J, Hiltunen-Back E et al. Transcriptional expression of the ompA, cpaf, tarp, and tox genes of Chlamydia trachomatis clinical isolates at different stages of the developmental cycle. Microorganisms 2019; 7:153 [View Article] [PubMed]
    [Google Scholar]
  52. Ring A, Balakrishna S, Imkamp F, Burkard S, Triet F et al. High rates of asymptomatic Mycoplasma genitalium infections with high proportion of genotypic resistance to first-line macrolide treatment among men who have sex with men enrolled in the Zurich Primary HIV Infection Study. Open Forum Infect Dis 2022; 9:ofac217 [View Article] [PubMed]
    [Google Scholar]
  53. Boutigny A-L, Remenant B, Legendre B, Beven V, Rolland M et al. Direct Xylella fastidiosa whole genome sequencing from various plant species using targeted enrichment. Journal of Microbiological Methods 2023; 208:106719 [View Article]
    [Google Scholar]
  54. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article]
    [Google Scholar]
  55. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V et al. Twelve years of SAMtools and BCFtools. GigaScience 2021; 10:giab008 [View Article]
    [Google Scholar]
  56. Wood DE, Lu J, Langmead B. Improved metagenomic analysis with Kraken 2. Genome Biol 2019; 20:257 [View Article]
    [Google Scholar]
  57. De Coster W, D’Hert S, Schultz DT, Cruts M, Van Broeckhoven C. NanoPack: visualizing and processing long-read sequencing data. Bioinformatics 2018; 34:2666–2669 [View Article] [PubMed]
    [Google Scholar]
  58. Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 2018; 34:3094–3100 [View Article]
    [Google Scholar]
  59. Wickham H. ggplot2: Elegant Graphics for Data Analysis SpringerLink; 2016
    [Google Scholar]
  60. R Core TeamR: A language and environment for statistical computing
  61. RStudio TeamRStudio: integrated development for R 2019
  62. Seth-Smith HMB, Harris SR, Scott P, Parmar S, Marsh P et al. Generating whole bacterial genome sequences of low-abundance species from complex samples with IMS-MDA. Nat Protoc 2013; 8:2404–2412 [View Article]
    [Google Scholar]
  63. Lin Y, Dai Y, Zhang S, Guo H, Yang L et al. Application of nanopore adaptive sequencing in pathogen detection of a patient with Chlamydia psittaci infection. Front Cell Infect Microbiol 2023; 13:1064317 [View Article] [PubMed]
    [Google Scholar]
  64. Kipp EJ, Lindsey LL, Khoo B, Faulk C, Oliver JD et al. Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling. Sci Rep 2023; 13:10991 [View Article] [PubMed]
    [Google Scholar]
  65. Büttner KA, Wegner F, Bregy V, Enterocassi AC, Gallo Vaulet L et al. n.d. Chlamydia trachomatis genomics: further ompa-genotype l2b global diversity, and description of ompa-genotype L4 from argentina. Microb Genom
    [Google Scholar]
  66. Buddle S, Forrest L, Akinsuyi N, Martin Bernal LM, Brooks T et al. Evaluating metagenomics and targeted approaches for diagnosis and surveillance of viruses. Genome Med 2024; 16:111 [View Article] [PubMed]
    [Google Scholar]
  67. Carter KA, France MT, Rutt L, Bilski L, Martinez-Greiwe S et al. Sexual transmission of urogenital bacteria: whole metagenome sequencing evidence from a sexual network study. mSphere 2024; 9:e00030–24 [View Article]
    [Google Scholar]
  68. Nimmo C, Shaw LP, Doyle R, Williams R, Brien K et al. Whole genome sequencing Mycobacterium tuberculosis directly from sputum identifies more genetic diversity than sequencing from culture. BMC Genomics 2019; 20:389 [View Article] [PubMed]
    [Google Scholar]
/content/journal/mgen/10.1099/mgen.0.001353
Loading
/content/journal/mgen/10.1099/mgen.0.001353
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Supplementary material 2

EXCEL
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An error occurred
Approval was partially successful, following selected items could not be processed due to error