Ojima-Kato Teruyo, Yamamoto Naomi, Takahashi Hajime, Tamura Hiroto
Knowledge Hub Aichi, Aichi Science and Technology Foundation, Yakusa, Toyota, Aichi 470-0356, Japan.
School of Agriculture, Meijo University, Shiogamaguchi, Tenpaku-ku, Nagoya, Aichi 468-0073, Japan.
PLoS One. 2016 Jul 21;11(7):e0159730. doi: 10.1371/journal.pone.0159730. eCollection 2016.
The genetic lineages of Listeria monocytogenes and other species of the genus Listeria are correlated with pathogenesis in humans. Although matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has become a prevailing tool for rapid and reliable microbial identification, the precise discrimination of Listeria species and lineages remains a crucial issue in clinical settings and for food safety. In this study, we constructed an accurate and reliable MS database to discriminate the lineages of L. monocytogenes and the species of Listeria (L. monocytogenes, L. innocua, L. welshimeri, L. seeligeri, L. ivanovii, L. grayi, and L. rocourtiae) based on the S10-spc-alpha operon gene encoded ribosomal protein mass spectrum (S10-GERMS) proteotyping method, which relies on both genetic information (genomics) and observed MS peaks in MALDI-TOF MS (proteomics). The specific set of eight biomarkers (ribosomal proteins L24, L6, L18, L15, S11, S9, L31 type B, and S16) yielded characteristic MS patterns for the lineages of L. monocytogenes and the different species of Listeria, and led to the construction of a MS database that was successful in discriminating between these organisms in MALDI-TOF MS fingerprinting analysis followed by advanced proteotyping software Strain Solution analysis. We also confirmed the constructed database on the proteotyping software Strain Solution by using 23 Listeria strains collected from natural sources.
单核细胞增生李斯特菌及李斯特菌属其他菌种的遗传谱系与人类发病机制相关。尽管基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)已成为快速可靠的微生物鉴定的主流工具,但在临床环境和食品安全方面,精确区分李斯特菌的菌种和谱系仍然是一个关键问题。在本研究中,我们基于S10-spc-alpha操纵子基因编码的核糖体蛋白质谱(S10-GERMS)蛋白质分型方法,构建了一个准确可靠的质谱数据库,用于区分单核细胞增生李斯特菌的谱系以及李斯特菌属的菌种(单核细胞增生李斯特菌、无害李斯特菌、威氏李斯特菌、西尔李斯特菌、伊氏李斯特菌、格氏李斯特菌和罗氏李斯特菌),该方法依赖于遗传信息(基因组学)和MALDI-TOF MS中观察到的质谱峰(蛋白质组学)。特定的八个生物标志物(核糖体蛋白L24、L6、L18、L15、S11、S9、B型L31和S16)产生了单核细胞增生李斯特菌谱系和不同李斯特菌种的特征性质谱模式,并导致构建了一个质谱数据库,该数据库在随后的高级蛋白质分型软件Strain Solution分析的MALDI-TOF MS指纹分析中成功区分了这些生物体。我们还通过使用从自然来源收集的23株李斯特菌菌株,在蛋白质分型软件Strain Solution上对构建的数据库进行了验证。