PDF(Pubmed)
Abstract：
Due to the harmful effects of chemical fertilizers and pesticides, the need for an eco-friendly solution to improve soil fertility has become a necessity, thus microbial biofertilizer research is on the rise. Plant endophytic bacteria inhabiting internal tissues represent a novel niche for research into new biofertilizer strains. However, the number of species and strains that need to be differentiated and identified to facilitate faster screening in future plant-bacteria interaction studies, is enormous. Surface enhanced Raman spectroscopy (SERS) may provide a platform for bacterial discrimination and identification, which, compared with the traditional methods, is relatively rapid, uncomplicated and ensures high specificity. In this study, we attempted to differentiate 18 bacterial isolates from two oaks via morphological, physiological, biochemical tests and SERS spectra analysis. Previous 16S rRNA gene fragment sequencing showed that three isolates belong to Paenibacillus, 3-to Pantoea and 12-to Pseudomonas genera. Additional tests were not able to further sort these bacteria into strain-specific groups. However, the obtained label-free SERS bacterial spectra along with the high-accuracy principal component (PCA) and discriminant function analyses (DFA) demonstrated the possibility to differentiate these bacteria into variant strains. Furthermore, we collected information about the biochemical characteristics of selected isolates. The results of this study suggest a promising application of SERS in combination with PCA/DFA as a rapid, non-expensive and sensitive method for the detection and identification of plant-associated bacteria.
摘要：
由于化肥和农药的有害影响，需要一种环保的解决方案来提高土壤肥力已经成为必要，因此微生物生物肥料的研究正在兴起。居住在内部组织中的植物内生细菌代表了研究新生物肥料菌株的新生态位。然而,需要区分和鉴定的物种和菌株的数量，以促进未来植物-细菌相互作用研究中更快的筛选，是巨大的。表面增强拉曼光谱(SERS)可以为细菌的辨别和鉴定提供平台,which,与传统方法相比，相对较快，简单，确保高特异性。在这项研究中,我们试图通过形态学从两棵橡树中区分出18种细菌，生理,生化测试和SERS光谱分析。先前的16SrRNA基因片段测序显示，三个分离株属于半芽孢杆菌，3-泛菌属和12-假单胞菌属。其他测试无法将这些细菌进一步分类为菌株特异性组。然而,获得的无标记SERS细菌谱以及高精度主成分（PCA）和判别函数分析（DFA）证明了将这些细菌区分为变异菌株的可能性。此外，我们收集了有关所选分离株的生化特征的信息.这项研究的结果表明SERS与PCA/DFA结合作为一种快速，用于检测和鉴定植物相关细菌的廉价和灵敏的方法。
