Department of Microbiology, University of Tennessee Knoxville, Knoxville, Tennessee, USA.
Department of Chemistry, University of Tennessee Knoxville, Knoxville, Tennessee, USA.
mSystems. 2022 Oct 26;7(5):e0058522. doi: 10.1128/msystems.00585-22. Epub 2022 Aug 16.
Bacterial growth substrates influence a variety of biological functions, including the biosynthesis and regulation of lipid intermediates. The extent of this rewiring is not well understood nor has it been considered in the context of virally infected cells. Here, we used a one-host-two-temperate phage model system to probe the combined influence of growth substrate and phage infection on host carbon and lipid metabolism. Using untargeted metabolomics and lipidomics, we reported the detection of a suite of metabolites and lipid classes for two lysogens provided with three growth substrates of differing complexity and nutrient composition (yeast extract/tryptone [complex], glutamate and acetate). The growth medium led to dramatic differences in the detectable intracellular metabolites, with only 15% of 175 measured metabolites showing overlap across the three growth substrates. Between-strain differences were most evident in the cultures grown on acetate, followed by glutamate then complex medium. Lipid distribution profiles were also distinct between cultures grown on different substrates as well as between the two lysogens grown in the same medium. Five phospholipids, three aminolipid, and one class of unknown lipid-like features were identified. Most (≥94%) of these 75 lipids were quantifiable in all samples. Metabolite and lipid profiles were strongly determined by growth medium composition and modestly by strain type. Because fluctuations in availability and form of carbon substrates and nutrients, as well as virus pressure, are common features of natural systems, the influence of these intersecting factors will undoubtedly be imprinted in the metabolome and lipidome of resident bacteria. Community-level metabolomics approaches are increasingly used to characterize natural microbial populations. These approaches typically depend upon temporal snapshots from which the status and function of communities are often inferred. Such inferences are typically drawn from lab-based studies of select model organisms raised under limited growth conditions. To better interpret community-level data, the extent to which ecologically relevant bacteria demonstrate metabolic flexibility requires elucidation. Herein, we used an environmentally relevant model heterotrophic marine bacterium to assess the relationship between growth determinants and metabolome. We also aimed to assess the contribution of phage activity to the host metabolome. Striking differences in primary metabolite and lipid profiles appeared to be driven primarily by growth regime and, secondarily, by phage type. These findings demonstrated the malleable nature of metabolomes and lipidomes and lay the foundation for future studies that relate cellular composition with function in complex environmental microbial communities.
细菌生长底物会影响多种生物学功能,包括脂质中间产物的生物合成和调控。这种重布线的程度还没有被很好地理解,也没有在病毒感染细胞的背景下被考虑。在这里,我们使用一种单宿主两种温和噬菌体模型系统来探测生长底物和噬菌体感染对宿主碳和脂质代谢的综合影响。通过非靶向代谢组学和脂质组学,我们报告了检测到两种溶源菌的一套代谢物和脂质类,它们提供了三种不同复杂程度和营养成分的生长底物(酵母提取物/胰蛋白胨[复杂]、谷氨酸和乙酸)。生长培养基导致可检测的细胞内代谢物有显著差异,在 175 种测量代谢物中,只有 15%在三种生长底物中具有重叠。菌株间差异在以乙酸为基础的培养物中最为明显,其次是谷氨酸,然后是复杂培养基。在不同底物上生长的培养物以及在相同培养基中生长的两种溶源菌之间,脂质分布谱也存在明显差异。鉴定出五种磷脂、三种氨脂和一类未知的类脂样特征脂质。在所有样本中,这些 75 种脂质中的大多数(≥94%)都可以定量。代谢物和脂质谱主要由生长培养基的组成决定,其次由菌株类型决定。由于碳底物和营养物质的可用性和形式的波动以及病毒压力是自然系统的常见特征,这些因素的交叉影响无疑会在常驻细菌的代谢组和脂质组中留下印记。群落水平代谢组学方法越来越多地用于描述自然微生物种群。这些方法通常依赖于时间快照,从中推断群落的状态和功能。这些推断通常是从在有限生长条件下培养的选定模型生物的实验室研究中得出的。为了更好地解释群落水平数据,需要阐明生态相关细菌表现出代谢灵活性的程度。在此,我们使用一种环境相关的异养海洋细菌模型来评估生长决定因素与代谢组之间的关系。我们还旨在评估噬菌体活性对宿主代谢组的贡献。主要代谢物和脂质谱的显著差异似乎主要由生长方式驱动,其次是噬菌体类型。这些发现表明了代谢组和脂质组的可塑造性,并为未来的研究奠定了基础,这些研究将细胞组成与复杂环境微生物群落中的功能联系起来。