Strain-level bacterial typing directly from patient samples using optical DNA mapping

Author:

Nyblom MyORCID,Johnning AnnaORCID,Frykholm Karolin,Wrande Marie,Müller Vilhelm,Goyal Gaurav,Robertsson Miriam,Dvirnas Albertas,Sewunet Tsegaye,KK SriramORCID,Ambjörnsson Tobias,Giske Christian G.,Sandegren Linus,Kristiansson Erik,Westerlund FredrikORCID

Abstract

AbstractBackgroundIdentification of pathogens is crucial to efficiently treat and prevent bacterial infections. However, existing diagnostic techniques are slow or have a too low resolution for well-informed clinical decisions.MethodsIn this study, we have developed an optical DNA mapping-based method for strain-level bacterial typing and simultaneous plasmid characterisation. For the typing, different taxonomical resolutions were examined and cultivated pureEscherichia coliandKlebsiella pneumoniaesamples were used for parameter optimization. Finally, the method was applied to mixed bacterial samples and uncultured urine samples from patients with urinary tract infections.ResultsWe demonstrate that optical DNA mapping of single DNA molecules can identifyEscherichia coliandKlebsiella pneumoniaeat the strain level directly from patient samples. At a taxonomic resolution corresponding toE. colisequence type 131 andK. pneumoniaeclonal complex 258 forming distinct groups, the average true positive prediction rates are 94% and 89%, respectively. The single-molecule aspect of the method enables us to identify multipleE. colistrains in polymicrobial samples. Furthermore, by targeting plasmid-borne antibiotic resistance genes with Cas9 restriction, we simultaneously identify the strain or subtype and characterize the corresponding plasmids.ConclusionThe optical DNA mapping method is accurate and directly applicable to polymicrobial and clinical samples without cultivation. Hence, it has the potential to rapidly provide comprehensive diagnostics information, thereby optimizing early antibiotic treatment and opening up for future precision medicine management.

Funder

Familjen Erling-Perssons Stiftelse

Vetenskapsrådet

Publisher

Springer Science and Business Media LLC

Reference43 articles.

1. Murray, C. J. et al. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 12, 629–655 (2022).

2. Global Health Estimates 2019: deaths by cause, age, sex, by country and by region, 2000–2019. World Health Organization (2020).

3. Global priority list of antibiotic-resistant bacteria to guide research, discovery, and development of new antibiotics. World Health Organization (2017).

4. Li, W., Raoult, D. & Fournier, P.-E. Bacterial strain typing in the genomic era. FEMS Microbiol. Rev. 33, 892–916 (2009).

5. Boulund, F. et al. Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics. Mol. Cell Proteomics 16, 1052–1063 (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3