دورية أكاديمية

A metagenomics-based workflow for the detection and genomic characterization of GBS in raw freshwater fish.

التفاصيل البيبلوغرافية
العنوان: A metagenomics-based workflow for the detection and genomic characterization of GBS in raw freshwater fish.
المؤلفون: Sim KH; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore., Ho J; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore., Lim JQ; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore., Chan SH; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore.; Department of Food Science & Technology, Faculty of Science, National University of Singapore, Singapore, Singapore., Li A; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore., Chng KR; National Centre for Food Science, Singapore Food Agency, Singapore, Singapore.; Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore.
المصدر: Microbiology spectrum [Microbiol Spectr] 2024 Jun 04; Vol. 12 (6), pp. e0327623. Date of Electronic Publication: 2024 May 07.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: ASM Press Country of Publication: United States NLM ID: 101634614 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2165-0497 (Electronic) Linking ISSN: 21650497 NLM ISO Abbreviation: Microbiol Spectr Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Washington, DC : ASM Press, 2013-
مواضيع طبية MeSH: Metagenomics*/methods , Workflow* , Fishes*/microbiology , Streptococcus agalactiae*/genetics , Streptococcus agalactiae*/isolation & purification, Animals ; Fresh Water/microbiology ; Genome, Bacterial/genetics ; Singapore ; Streptococcal Infections/veterinary ; Streptococcal Infections/diagnosis ; Streptococcal Infections/microbiology ; Food Microbiology ; Foodborne Diseases/microbiology ; Humans
مستخلص: The unexpected foodborne outbreak in Singapore in 2015 has accentuated Group B Streptococcus (GBS, Streptococcus agalactiae ) sequence type 283 as an emerging foodborne pathogen transmitted via the consumption of contaminated raw freshwater fish. Isolation-based workflows utilizing conventional microbiological and whole-genome sequencing methods are commonly used to support biosurveillance efforts critical for the control management of this emerging foodborne pathogen. However, these isolation-based workflows tend to have relatively long turnaround times that hamper a timely response for implementing risk mitigation. To address this gap, we have developed a metagenomics-based workflow for the simultaneous detection and genomic characterization of GBS in raw freshwater fish. Notably, our validation results showed that this metagenomics-based workflow could achieve comparable accuracy and potentially better detection limits while halving the turnaround time (from 2 weeks to 5 days) relative to an isolation-based workflow. The metagenomics-based workflow was also successfully adapted for use on a portable long-read nanopore sequencer, demonstrating its potential applicability for real-time point-of-need testing. Using GBS in freshwater fish as an example, this work represents a proof-of-concept study that supports the feasibility and validity of metagenomics as a rapid and accurate test methodology for the detection and genomic characterization of foodborne pathogens in complex food matrices.
Importance: The need for a rapid and accurate food microbiological testing method is apparent for a timely and effective foodborne outbreak response. This is particularly relevant for emerging foodborne pathogens such as Group B Streptococcus (GBS) whose associated food safety risk might be undercharacterized. By using GBS in raw freshwater fish as a case example, this study describes the development of a metagenomics-based workflow for rapid food microbiological safety testing and surveillance. This study can inform as a working model for various foodborne pathogens in other complex food matrices, paving the way for future methodological development of metagenomics for food microbiological safety testing.
Competing Interests: The authors declare no conflict of interest.
References: Foods. 2021 Nov 18;10(11):. (PMID: 34829127)
J Med Microbiol. 2014 Oct;63(Pt 10):1395-1399. (PMID: 25082944)
J Fish Dis. 2018 May 28;:. (PMID: 29806192)
Foodborne Pathog Dis. 2019 Jul;16(7):441-450. (PMID: 31194586)
Nat Biotechnol. 2019 May;37(5):540-546. (PMID: 30936562)
Annu Rev Food Sci Technol. 2016;7:353-74. (PMID: 26772415)
J Health Monit. 2023 Jun 01;8(Suppl 3):78-92. (PMID: 37342431)
Nat Biotechnol. 2023 Nov;41(11):1633-1644. (PMID: 36823356)
Emerg Infect Dis. 2016 Nov;22(11):1974-1977. (PMID: 27767905)
Genome Res. 2015 Jul;25(7):1043-55. (PMID: 25977477)
BMC Infect Dis. 2020 Jan 29;20(1):83. (PMID: 31996135)
Microbiome. 2018 Sep 15;6(1):158. (PMID: 30219103)
PLoS Negl Trop Dis. 2019 Jun 27;13(6):e0007421. (PMID: 31246981)
Molecules. 2022 Nov 26;27(23):. (PMID: 36500353)
J Food Prot. 2021 Nov 1;84(11):1884-1897. (PMID: 34185849)
Bioinformatics. 2022 Nov 30;38(23):5315-5316. (PMID: 36218463)
J Food Prot. 2022 Mar 1;85(3):448-464. (PMID: 34706052)
Nat Med. 2020 Jun;26(6):941-951. (PMID: 32514171)
Nat Microbiol. 2019 Dec;4(12):2090-2100. (PMID: 31548681)
Microorganisms. 2020 Aug 05;8(8):. (PMID: 32764329)
Dent Regist. 1919 Dec;73(12):557-567. (PMID: 33703338)
Foodborne Pathog Dis. 2009 Dec;6(10):1177-83. (PMID: 19743924)
Curr Protoc Bioinformatics. 2020 Jun;70(1):e102. (PMID: 32559359)
Emerg Infect Dis. 2017 Dec;23(12):. (PMID: 29148967)
Microbiome. 2022 Dec 2;10(1):206. (PMID: 36457108)
Infect Genet Evol. 2016 Jun;40:389-397. (PMID: 26391184)
Sci Rep. 2021 Oct 20;11(1):20740. (PMID: 34671046)
J Clin Microbiol. 2003 Jun;41(6):2530-6. (PMID: 12791877)
Bioinformatics. 2018 Sep 1;34(17):i884-i890. (PMID: 30423086)
Clin Infect Dis. 2017 May 15;64(suppl_2):S145-S152. (PMID: 28475781)
Appl Environ Microbiol. 2021 Nov 24;87(24):e0177421. (PMID: 34613762)
Emerg Infect Dis. 1997 Oct-Dec;3(4):503-10. (PMID: 9368787)
Am J Dig Dis. 1946 Apr;13:105-7. (PMID: 21025084)
Gigascience. 2021 Feb 16;10(2):. (PMID: 33590861)
Food Microbiol. 2020 Dec;92:103575. (PMID: 32950159)
PLoS One. 2013 Apr 08;8(4):e60811. (PMID: 23579286)
Ann Acad Med Singap. 2017 Feb;46(2):74-75. (PMID: 28263345)
Bioinformatics. 2013 Apr 15;29(8):1072-5. (PMID: 23422339)
Curr Environ Health Rep. 2018 Mar;5(1):187-196. (PMID: 29446033)
Sci Rep. 2017 Jun 16;7(1):3747. (PMID: 28623336)
Genome Biol. 2019 Jun 24;20(1):129. (PMID: 31234903)
Front Microbiol. 2021 Nov 05;12:738284. (PMID: 34803953)
Front Microbiol. 2017 Jul 04;8:1069. (PMID: 28725217)
Appl Environ Microbiol. 2013 May;79(10):3148-55. (PMID: 23475615)
Bioinformatics. 2009 Aug 15;25(16):2078-9. (PMID: 19505943)
Bioinformatics. 2018 Sep 15;34(18):3094-3100. (PMID: 29750242)
J Clin Microbiol. 1998 Aug;36(8):2298-300. (PMID: 9666009)
Nat Microbiol. 2022 Apr;7(4):486-496. (PMID: 35365786)
Genome Biol. 2019 Nov 28;20(1):257. (PMID: 31779668)
Wellcome Open Res. 2018 Sep 24;3:124. (PMID: 30345391)
فهرسة مساهمة: Keywords: biosurveillance; food safety; foodborne pathogen; group B Streptococcus; metagenomics
تواريخ الأحداث: Date Created: 20240507 Date Completed: 20240605 Latest Revision: 20240807
رمز التحديث: 20240807
مُعرف محوري في PubMed: PMC11237576
DOI: 10.1128/spectrum.03276-23
PMID: 38712931
قاعدة البيانات: MEDLINE
الوصف
تدمد:2165-0497
DOI:10.1128/spectrum.03276-23