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在共生菌存在的情况下,探索长读长宏基因组学以全面表征产志贺毒素菌。

Exploring Long-Read Metagenomics for Full Characterization of Shiga Toxin-Producing in Presence of Commensal .

作者信息

Jaudou Sandra, Deneke Carlus, Tran Mai-Lan, Salzinger Carina, Vorimore Fabien, Goehler André, Schuh Elisabeth, Malorny Burkhard, Fach Patrick, Grützke Josephine, Delannoy Sabine

机构信息

COLiPATH Unit, Laboratory for Food Safety, ANSES, 94700 Maisons-Alfort, France.

National Study Center for Sequencing in Risk Assessment, Department of Biological Safety, German Federal Institute for Risk Assessment, 12277 Berlin, Germany.

出版信息

Microorganisms. 2023 Aug 9;11(8):2043. doi: 10.3390/microorganisms11082043.

Abstract

The characterization of Shiga toxin-producing (STEC) is necessary to assess their pathogenic potential, but isolation of the strain from complex matrices such as milk remains challenging. In previous work, we have shown the potential of long-read metagenomics to characterize -positive STEC from artificially contaminated raw milk without isolating the strain. The presence of multiple strains in the sample was shown to potentially hinder the correct characterization of the STEC strain. Here, we aimed at determining the STEC:commensal ratio that would prevent the characterization of the STEC. We artificially contaminated pasteurized milk with different ratios of an -positive STEC and a commensal and applied the method previously developed. Results showed that the STEC strain growth was better than the commensal after enrichment in acriflavine-supplemented BPW. The STEC was successfully characterized in all samples with at least 10 times more STEC post-enrichment compared to the commensal . However, the presence of equivalent proportions of STEC and commensal prevented the full characterization of the STEC strain. This study confirms the potential of long-read metagenomics for STEC characterization in an isolation-free manner while refining its limit regarding the presence of background strains.

摘要

对产志贺毒素大肠杆菌(STEC)进行特征描述对于评估其致病潜力至关重要,但从牛奶等复杂基质中分离该菌株仍然具有挑战性。在之前的研究中,我们已经展示了长读长宏基因组学在不分离菌株的情况下对人工污染的生牛奶中的阳性STEC进行特征描述的潜力。样本中多种菌株的存在可能会阻碍STEC菌株的正确特征描述。在此,我们旨在确定会阻碍STEC特征描述的STEC与共生菌的比例。我们用不同比例的阳性STEC和一种共生菌对巴氏杀菌牛奶进行人工污染,并应用先前开发的方法。结果表明,在添加吖啶黄素的BPW中富集后,STEC菌株的生长优于共生菌。在所有富集后STEC与共生菌比例至少为10倍以上的样本中,STEC均成功得到特征描述。然而,STEC与共生菌比例相当会阻碍STEC菌株的完整特征描述。本研究证实了长读长宏基因组学在不进行分离的情况下对STEC进行特征描述的潜力,同时细化了其在背景菌株存在方面的局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/893f/10458860/ec8fb100873c/microorganisms-11-02043-g001.jpg

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