Blanco Guillermo, Sánchez Borja, Fdez-Riverola Florentino, Margolles Abelardo, Lourenço Anália
ESEI - Department of Computer Science, University of Vigo, Ourense, Spain.
Department of Microbiology and Biochemistry of Dairy Products, Superior Council of Scientific Investigations, Institute of Dairy Products of Asturias, Villaviciosa, Spain.
Front Microbiol. 2019 Apr 4;10:517. doi: 10.3389/fmicb.2019.00517. eCollection 2019.
This work presents a novel approach to the prediction and characterization of the glycolytic capacities of the beneficial intestinal bacterium . Available genomes were explored taking the glycolytic capacities of SL3/3 and L2-6 as reference. The comparison of the generated glycolytic profiles offered insights into the particular capabilities of SL3/3 and L2-6 as well as the potential of the rest of strains. Glycoside hydrolases were mostly detected in the pathways responsible for the starch and sucrose metabolism and the biosynthesis of secondary metabolites, but this analysis also identified some other potentially interesting, but still uncharacterized activities, such as several hexosyltransferases and some hydrolases. Gene neighborhood maps offered additional understanding of the genes coding for relevant glycoside hydrolases. Although information about the carbohydrate preferences of is scarce, the metabolic predictions were consistent with previous knowledge about the impact of fermentable sugars on the growth promotion and metabolism of . So, while the predictions still need to be validated using culturing methods, the approach holds the potential to be reproduced and scaled to accommodate the analysis of other strains (or even families and genus) as well as other metabolic activities. This will allow the exploration of novel methodologies to design or obtain targeted probiotics for and other strains of interest.
这项工作提出了一种全新的方法,用于预测和表征有益肠道细菌的糖酵解能力。以SL3/3和L2-6的糖酵解能力为参考,对可用基因组进行了探索。通过比较生成的糖酵解图谱,深入了解了SL3/3和L2-6的特殊能力以及其他菌株的潜力。糖苷水解酶大多在负责淀粉和蔗糖代谢以及次生代谢物生物合成的途径中被检测到,但该分析还确定了一些其他潜在有趣但仍未表征的活性,例如几种己糖基转移酶和一些水解酶。基因邻域图谱有助于进一步了解编码相关糖苷水解酶的基因。尽管关于[细菌名称]碳水化合物偏好的信息很少,但代谢预测与之前关于可发酵糖对[细菌名称]生长促进和代谢影响的知识一致。因此,虽然这些预测仍需通过培养方法进行验证,但该方法有潜力被复制和扩展,以适应对其他菌株(甚至科和属)以及其他代谢活动的分析。这将有助于探索新的方法,为[细菌名称]和其他感兴趣的菌株设计或获得靶向益生菌。