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Abstract

Metagenomic next-generation sequencing (mNGS) provides considerable advantages in identifying emerging and re-emerging, difficult-to-detect and co-infected pathogens; however, the clinical application of mNGS remains limited primarily due to the lack of quantitative capabilities. This study introduces a novel approach, KingCreate-Quantification (KCQ) system, for quantitative analysis of microbes in clinical specimens by mNGS, which co-sequence the target DNA extracted from the specimens along with a set of synthetic dsDNA molecules used as Internal-Standard (IS). The assay facilitates the conversion of microbial reads into their copy numbers based on IS reads utilizing a mathematical model proposed in this study. The performance of KCQ was systemically evaluated using commercial mock microbes with varying IS input amounts, different proportions of human genomic DNA, and at varying amounts of sequence analysis data. Subsequently, KCQ was applied in microbial quantitation in 36 clinical specimens including blood, bronchoalveolar lavage fluid, cerebrospinal fluid and oropharyngeal swabs. A total of 477 microbe genetic fragments were screened using the bioinformatic system. Of these 83 fragments were quantitatively compared with digital droplet PCR (ddPCR), revealing a correlation coefficient of 0.97 between the quantitative results of KCQ and ddPCR. Our study demonstrated that KCQ presents a practical approach for the quantitative analysis of microbes by mNGS in clinical samples.

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/content/journal/mgen/10.1099/mgen.0.001199
2024-02-15
2024-05-20
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References

  1. Cecconi M, Evans L, Levy M, Rhodes A. Sepsis and septic shock. Lancet 2018; 392:75–87 [View Article] [PubMed]
    [Google Scholar]
  2. Gotts JE, Matthay MA. Sepsis: pathophysiology and clinical management. BMJ 2016; 353:i1585 [View Article] [PubMed]
    [Google Scholar]
  3. Kumar A, Ellis P, Arabi Y, Roberts D, Light B et al. Initiation of inappropriate antimicrobial therapy results in a fivefold reduction of survival in human septic shock. Chest 2009; 136:1237–1248 [View Article] [PubMed]
    [Google Scholar]
  4. Mancini N, Carletti S, Ghidoli N, Cichero P, Burioni R et al. The era of molecular and other non-culture-based methods in diagnosis of sepsis. Clin Microbiol Rev 2010; 23:235–251 [View Article] [PubMed]
    [Google Scholar]
  5. Schreckenberger PC, McAdam AJ. Point-counterpoint: large multiplex PCR panels should be first-line tests for detection of respiratory and intestinal pathogens. J Clin Microbiol 2015; 53:3110–3115 [View Article] [PubMed]
    [Google Scholar]
  6. Naccache SN, Peggs KS, Mattes FM, Phadke R, Garson JA et al. Diagnosis of neuroinvasive astrovirus infection in an immunocompromised adult with encephalitis by unbiased next-generation sequencing. Clin Infect Dis 2015; 60:919–923 [View Article] [PubMed]
    [Google Scholar]
  7. Chen L, Liu W, Zhang Q, Xu K, Ye G et al. RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak. Emerg Microbes Infect 2020; 9:313–319 [View Article] [PubMed]
    [Google Scholar]
  8. Liang M, Fan Y, Zhang D, Yang L, Wang X et al. Metagenomic next-generation sequencing for accurate diagnosis and management of lower respiratory tract infections. Int J Infect Dis 2022; 122:921–929 [View Article] [PubMed]
    [Google Scholar]
  9. Langelier C, Kalantar KL, Moazed F, Wilson MR, Crawford ED et al. Integrating host response and unbiased microbe detection for lower respiratory tract infection diagnosis in critically ill adults. Proc Natl Acad Sci U S A 2018; 115:E12353–E12362 [View Article] [PubMed]
    [Google Scholar]
  10. Wilson MR, Sample HA, Zorn KC, Arevalo S, Yu G et al. Clinical metagenomic sequencing for diagnosis of meningitis and encephalitis. N Engl J Med 2019; 380:2327–2340 [View Article] [PubMed]
    [Google Scholar]
  11. Chiu CY, Miller SA. Clinical metagenomics. Nat Rev Genet 2019; 20:341–355 [View Article] [PubMed]
    [Google Scholar]
  12. Mason CE, Afshinnekoo E, Tighe S, Wu S, Levy S. International standards for genomes, transcriptomes, and metagenomes. J Biomol Tech 2017; 28:8–18 [View Article] [PubMed]
    [Google Scholar]
  13. Hardwick SA, Deveson IW, Mercer TR. Reference standards for next-generation sequencing. Nat Rev Genet 2017; 18:473–484 [View Article] [PubMed]
    [Google Scholar]
  14. Goldfeder RL, Priest JR, Zook JM, Grove ME, Waggott D et al. Medical implications of technical accuracy in genome sequencing. Genome Med 2016; 8:24 [View Article] [PubMed]
    [Google Scholar]
  15. Peng JM, Du B, Qin HY, Wang Q, Shi Y. Metagenomic next-generation sequencing for the diagnosis of suspected pneumonia in immunocompromised patients. J Infect 2021; 82:22–27 [View Article] [PubMed]
    [Google Scholar]
  16. Crossette E, Gumm J, Langenfeld K, Raskin L, Duhaime M et al. Metagenomic quantification of genes with internal standards. mBio 2021; 12:e03173-20 [View Article] [PubMed]
    [Google Scholar]
  17. Gifford SM, Sharma S, Rinta-Kanto JM, Moran MA. Quantitative analysis of a deeply sequenced marine microbial metatranscriptome. ISME J 2011; 5:461–472 [View Article] [PubMed]
    [Google Scholar]
  18. Hardwick SA, Chen WY, Wong T, Kanakamedala BS, Deveson IW et al. Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis. Nat Commun 2018; 9:3096 [View Article] [PubMed]
    [Google Scholar]
  19. Li B, Li X, Yan T. A quantitative metagenomic sequencing approach for high-throughput gene quantification and demonstration with antibiotic resistance genes. Appl Environ Microbiol 2021; 87:e0087121 [View Article] [PubMed]
    [Google Scholar]
  20. Tkacz A, Hortala M, Poole PS. Absolute quantitation of microbiota abundance in environmental samples. Microbiome 2018; 6:110 [View Article] [PubMed]
    [Google Scholar]
  21. Barlow JT, Bogatyrev SR, Ismagilov RF. A quantitative sequencing framework for absolute abundance measurements of mucosal and lumenal microbial communities. Nat Commun 2020; 11:2590 [View Article] [PubMed]
    [Google Scholar]
  22. Geng S, Mei Q, Zhu C, Fang X, Yang T et al. Metagenomic next-generation sequencing technology for detection of pathogens in blood of critically ill patients. Int J Infect Dis 2021; 103:81–87 [View Article] [PubMed]
    [Google Scholar]
  23. van Dijk EL, Auger H, Jaszczyszyn Y, Thermes C. Ten years of next-generation sequencing technology. Trends Genet 2014; 30:418–426 [View Article] [PubMed]
    [Google Scholar]
  24. Slatko BE, Gardner AF, Ausubel FM. Overview of next-generation sequencing technologies. Curr Protoc Mol Biol 2018; 122:e59 [View Article] [PubMed]
    [Google Scholar]
  25. Akoglu H. User’s guide to correlation coefficients. Turk J Emerg Med 2018; 18:91–93 [View Article] [PubMed]
    [Google Scholar]
  26. Dolezel J, Bartos J, Voglmayr H, Greilhuber J. Nuclear DNA content and genome size of trout and human. Cytometry A 2003; 51:127–129 [View Article] [PubMed]
    [Google Scholar]
  27. Pareek CS, Smoczynski R, Tretyn A. Sequencing technologies and genome sequencing. J Appl Genet 2011; 52:413–435 [View Article] [PubMed]
    [Google Scholar]
  28. Tan SJ, Pryce TM, Haygarth EJ, Boan PA. Quantitative Pneumocystis jirovecii real-time PCR to differentiate disease from colonisation. Pathology 2021; 53:896–901 [View Article] [PubMed]
    [Google Scholar]
  29. Maillet M, Maubon D, Brion JP, François P, Molina L et al. Pneumocystis jirovecii (Pj) quantitative PCR to differentiate Pj pneumonia from Pj colonization in immunocompromised patients. Eur J Clin Microbiol Infect Dis 2014; 33:331–336 [View Article] [PubMed]
    [Google Scholar]
  30. Chen C, Wu Y, Li J, Wang X, Zeng Z et al. TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining. Mol Plant 2023; 16:1733–1742 [View Article] [PubMed]
    [Google Scholar]
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