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PVBase:一个用于快速鉴定和表征来自中国多个地区潜在致病物种的基质辅助激光解吸电离飞行时间质谱数据库。

PVBase: A MALDI-TOF MS Database for Fast Identification and Characterization of Potentially Pathogenic Species From Multiple Regions of China.

作者信息

Liu Tingting, Kang Lin, Xu Jinglin, Wang Jing, Gao Shan, Li Yanwei, Li Jiaxin, Yuan Yuan, Yuan Bing, Wang Jinglin, Zhao Baohua, Xin Wenwen

机构信息

Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.

State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences (AMMS), Beijing, China.

出版信息

Front Microbiol. 2022 May 17;13:872825. doi: 10.3389/fmicb.2022.872825. eCollection 2022.

DOI:10.3389/fmicb.2022.872825
PMID:35656002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9152771/
Abstract

The potentially pathogenic species of the genus pose a threat to both humans and animals, creating medical burdens and economic losses to the mariculture industry. Improvements in surveillance and diagnosis are needed to successfully manage vibriosis outbreaks. Matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) can provide rapid diagnosis and has been widely used in the identification of spp. The main weakness of this technology is the limited number of strains and species of in the existing commercial database. Here, we develop a new in-house database named PVBase containing 790 main spectra projections (MSP) of ten species that come from various regions of China and include abundant clinical and environmental strains. PVBase was validated through a blind test of 65 strains. The identification accuracy and scoring of strains was greatly improved through the addition of PVBase. Identification accuracy increased from 73.4 to 100%. The number of strains with identification scores above 2.2 increased from 53.1% to 96.9% and 53.1% of strains had an identification score above 2.59. Moreover, perfect discrimination was obtained when using all of the MSPs created for the species, even for very closely related species such as , , and or , , and . In addition, we used phyloproteomic analysis to study whether there are differences in protein fingerprints of different regions or pathogenic strains. We found that MSP characteristics of species were not related to their region or source. With the construction of PVBase, the identification efficiency of potentially pathogenic species has been greatly improved, which is an important advance for epidemic prevention and control, and aquaculture disease detection.

摘要

该属的潜在致病物种对人类和动物都构成威胁,给海水养殖业带来医疗负担和经济损失。需要改进监测和诊断方法以成功应对弧菌病疫情。基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)能够提供快速诊断,已广泛应用于弧菌属物种的鉴定。这项技术的主要弱点是现有商业数据库中弧菌的菌株和物种数量有限。在此,我们开发了一个名为PVBase的新内部数据库,其中包含来自中国不同地区的10种弧菌的790个主要光谱投影(MSP),包括丰富的临床和环境菌株。通过对65株弧菌进行盲测对PVBase进行了验证。通过添加PVBase,弧菌菌株的鉴定准确性和得分得到了极大提高。鉴定准确率从73.4%提高到了100%。鉴定得分高于2.2的菌株数量从53.1%增加到了96.9%,53.1%的菌株鉴定得分高于2.59。此外,当使用为弧菌物种创建的所有MSP时,即使对于非常相近的物种,如[具体物种1]、[具体物种2]、[具体物种3]或[具体物种4]、[具体物种5]、[具体物种6],也能实现完美区分。此外,我们使用系统蛋白质组学分析来研究不同地区或致病菌株的蛋白质指纹是否存在差异。我们发现弧菌物种的MSP特征与其区域或来源无关。随着PVBase的构建,潜在致病弧菌物种的鉴定效率得到了极大提高,这是疾病防控和水产养殖疾病检测方面的一项重要进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/4ad867a6ca7c/fmicb-13-872825-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/d2c12231c3bf/fmicb-13-872825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/dad9beabf55c/fmicb-13-872825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/dd51aacb9fa5/fmicb-13-872825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/aae7af652c50/fmicb-13-872825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/faa5edaf2a86/fmicb-13-872825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/fb458b141e49/fmicb-13-872825-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/fee79b5905ca/fmicb-13-872825-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/4ad867a6ca7c/fmicb-13-872825-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/d2c12231c3bf/fmicb-13-872825-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/dad9beabf55c/fmicb-13-872825-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/dd51aacb9fa5/fmicb-13-872825-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/aae7af652c50/fmicb-13-872825-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/faa5edaf2a86/fmicb-13-872825-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/fb458b141e49/fmicb-13-872825-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/fee79b5905ca/fmicb-13-872825-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0469/9152771/4ad867a6ca7c/fmicb-13-872825-g008.jpg

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