论文标题：Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli

期刊：Communications Biology

作者：Arno Germond, Taro Ichimura, Takaaki Horinouchi, Hideaki Fujita, Chikara Furusawa & Tomonobu M. Watanabe

发表时间：2018/07/02

数字识别码：10.1038/s42003-018-0093-8

原文链接：

https://www.nature.com/articles/s42003-018-0093-8?utm_source=Other_website&utm_medium=Website_links&utm_content=RenLi-MixedBrand-multijournal-Multidisciplinary-China&utm_campaign=ORG_USG_JRCN_RL_article_promotion_sciencenet_Sep_4th

如果能够通过快速无标记的显微镜观察来预测细菌的抗生素耐药性，将会令许多生物及生物医学领域的应用获益。

在《通讯-生物学》发表的一篇名为Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli的文章里，来自日本理化学研究所生物系统动力学研究中心的Tomonobu M. Watanabe的团队，在没有使用抗生素的情况下，成功地用无标记拉曼光谱监测了大肠杆菌细菌群体的耐药性类型和获得性耐药性的作用方式。并且，他们的实验结果是可重复的。此外，他们还确定了最能预测耐药性作用方式的光谱区域，并探讨了拉曼特征是否与获得性耐药性的遗传基础相关联。并发现光谱峰强度与抗生素耐药性基因的表达呈显著相关（错误发现率，p<0.05）。

图1：有不同的耐药性的菌株导致不同的光谱上的差异

作者的实验结果表明，抗生素耐药性的获得过程会导致更广泛的代谢效应，而这可通过拉曼光谱特征和基因表达变化反映出来，暗示着这两种互补的信息间可能存在某种关联。

摘要：To be able to predict antibiotic resistance in bacteria from fast label-free microscopic observations would benefit a broad range of applications in the biological and biomedical fields. Here, we demonstrate the utility of label-free Raman spectroscopy in monitoring the type of resistance and the mode of action of acquired resistance in a bacterial population of Escherichia coli, in the absence of antibiotics. Our findings are reproducible. Moreover, we identified spectral regions that best predicted the modes of action and explored whether the Raman signatures could be linked to the genetic basis of acquired resistance. Spectral peak intensities significantly correlated (False Discovery Rate, p < 0.05) with the gene expression of some genes contributing to antibiotic resistance genes. These results suggest that the acquisition of antibiotic resistance leads to broad metabolic effects reflected through Raman spectral signatures and gene expression changes, hinting at a possible relation between these two layers of complementary information.

阅读论文全文请访问：

https://www.nature.com/articles/s42003-018-0093-8?utm_source=Other_website&utm_medium=Website_links&utm_content=RenLi-MixedBrand-multijournal-Multidisciplinary-China&utm_campaign=ORG_USG_JRCN_RL_article_promotion_sciencenet_Sep_4th

期刊介绍：Communications Biology (https://www.nature.com/commsbio/) is an open access journal from Nature Research publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research.

（来源：科学网）