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基质辅助激光解吸电离飞行时间质谱作为一种强大的工具,用于鉴定和区分密切相关的微生物:多粘类芽孢杆菌三个参考菌株的奇异案例。

MALDI-TOF as a powerful tool for identifying and differentiating closely related microorganisms: the strange case of three reference strains of Paenibacillus polymyxa.

机构信息

Syngenta Biologicals (Valagro SpA), 66041, Atessa, CH, Italy.

Microbion S.r.l., 37057, San Giovanni Lupatoto, VR, Italy.

出版信息

Sci Rep. 2024 Jan 31;14(1):2585. doi: 10.1038/s41598-023-50010-w.

Abstract

Accurate identification and typing of microbes are crucial steps in gaining an awareness of the biological heterogeneity and reliability of microbial material within any proprietary or public collection. Paenibacillus polymyxa is a bacterial species of great agricultural and industrial importance due to its plant growth-promoting activities and production of several relevant secondary metabolites. In recent years, matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS) has been widely used as an alternative rapid tool for identifying, typing, and differentiating closely related strains. In this study, we investigated the diversity of three P. polymyxa strains. The mass spectra of ATCC 842, DSM 292, and DSM 365 were obtained, analysed, and compared to select discriminant peaks using ClinProTools software and generate classification models. MALDI-TOF MS analysis showed inconsistent results in identifying DSM 292 and DSM 365 as belonging to P. polimixa species, and comparative analysis of mass spectra revealed the presence of highly discriminatory biomarkers among the three strains. 16S rRNA sequencing and Average Nucleotide Identity (ANI) confirmed the discrepancies found in the proteomic analysis. The case study presented here suggests the enormous potential of the proteomic-based approach, combined with statistical tools, to predict and explore differences between closely related strains in large microbial datasets.

摘要

准确识别和分型微生物是了解任何专有或公共收藏中微生物物质的生物学异质性和可靠性的关键步骤。多粘类芽孢杆菌由于其促进植物生长的活性和生产几种相关的次生代谢物,是一种具有重要农业和工业意义的细菌物种。近年来,基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)已被广泛用作替代快速工具,用于识别、分型和区分密切相关的菌株。在这项研究中,我们调查了三株多粘类芽孢杆菌菌株的多样性。获得了 ATCC 842、DSM 292 和 DSM 365 的质谱,使用 ClinProTools 软件进行分析和比较,选择判别峰,并生成分类模型。MALDI-TOF MS 分析表明,DSM 292 和 DSM 365 被鉴定为多粘类芽孢杆菌种的结果不一致,对质谱的比较分析显示,三株菌株之间存在高度有区别的生物标志物。16S rRNA 测序和平均核苷酸同一性(ANI)证实了蛋白质组分析中发现的差异。本案例研究表明,基于蛋白质组的方法与统计工具相结合,具有巨大的潜力,可以预测和探索大型微生物数据集之间密切相关菌株之间的差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b259/10831075/2620754a008c/41598_2023_50010_Fig1_HTML.jpg

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