Wetzels Stefanie U, Eger Melanie, Burmester Marion, Kreienbrock Lothar, Abdulmawjood Amir, Pinior Beate, Wagner Martin, Breves Gerhard, Mann Evelyne
Institute for Milk Hygiene, Milk Technology and Food Science, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria.
Institute for Physiology, University of Veterinary Medicine Hannover, Hannover, Germany.
PLoS One. 2018 Feb 7;13(2):e0192256. doi: 10.1371/journal.pone.0192256. eCollection 2018.
The rumen simulation technique (RUSITEC) is a well-established semicontinuous in vitro model for investigating ruminal fermentation; however, information on the stability of the ruminal bacterial microbiota and metabolome in the RUSITEC system is rarely available. The availability of high resolution methods, such as high-throughput sequencing and metabolomics improve our knowledge about the rumen microbial ecosystem and its fermentation processes. Thus, we used Illumina MiSeq 16S rRNA amplicon sequencing and a combination of direct injection mass spectrometry with a reverse-phase LC-MS/MS to evaluate the dynamics of the bacterial community and the concentration of several metabolites in a RUSITEC experiment as a function of time and in response to a challenge with a pathogenic Clostridium perfringens (C. perfringens) strain. After four days of equilibration, samples were collected on days 5, 6, 7, 10, 12 and 15 of the steady-state and experimental period. From a total of six fermenters, three non-infected fermenters were used for investigating time-dependent alterations; three fermenters were incubated with C. perfringens and compared with the non-infected vessels at days 10, 12 and 15. Along the time-line, there was no statistically significant change of the overall bacterial community, however, some phylotypes were enriched at certain time points. A decrease in Fibrobacter and Elusimicrobia over time was followed by an increase in Firmicutes and Actinobacteria. In contrast, classical fermentation measurements such as pH, redox potential, NH3-N, short chain fatty acids and the concentrations of metabolites determined by metabolomics (biogenic amines, hexoses and amino acids) remained stable throughout the experiment. In response to C. perfringens addition the concentrations of several amino acids increased. Although the overall bacterial community was not altered here either, some minor changes such as an enrichment of Synergistetes and Bacteroidetes were detectable over time. In conclusion, both, the bacterial community composition and the metabolome in the RUSITEC system were relatively stable during the experiment.
瘤胃模拟技术(RUSITEC)是一种成熟的用于研究瘤胃发酵的半连续体外模型;然而,关于RUSITEC系统中瘤胃细菌微生物群和代谢组稳定性的信息却很少。高通量测序和代谢组学等高分辨率方法的应用,增进了我们对瘤胃微生物生态系统及其发酵过程的了解。因此,我们使用Illumina MiSeq 16S rRNA扩增子测序以及直接进样质谱与反相LC-MS/MS联用的方法,在一项RUSITEC实验中评估细菌群落的动态变化以及几种代谢物的浓度,这些变化是时间的函数,并对致病性产气荚膜梭菌(C. perfringens)菌株的挑战作出响应。在平衡四天后,在稳态和实验期的第5、6、7、10、12和15天收集样本。在总共六个发酵罐中,三个未感染的发酵罐用于研究随时间的变化;三个发酵罐与产气荚膜梭菌一起培养,并在第10、12和15天与未感染的发酵罐进行比较。在整个时间线上,总体细菌群落没有统计学上的显著变化,然而,一些系统发育型在特定时间点富集。随着时间的推移,纤维杆菌属和迷踪菌属减少,随后厚壁菌门和放线菌门增加。相比之下,经典的发酵测量指标,如pH值、氧化还原电位、NH3-N、短链脂肪酸以及代谢组学测定的代谢物浓度(生物胺、己糖和氨基酸)在整个实验过程中保持稳定。响应产气荚膜梭菌的添加,几种氨基酸的浓度增加。虽然总体细菌群落在这里也没有改变,但随着时间的推移,可以检测到一些微小变化,如协同菌门和拟杆菌门的富集。总之,在实验过程中,RUSITEC系统中的细菌群落组成和代谢组相对稳定。