Dreyer Annika, Lenz Christof, Groß Uwe, Bohne Wolfgang, Zautner Andreas Erich
Institute for Medical Microbiology and Virology, University Medical Center Göttingen, Göttingen, Germany.
Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
Front Microbiol. 2023 Nov 9;14:1247211. doi: 10.3389/fmicb.2023.1247211. eCollection 2023.
In dynamic microbial ecosystems, bacterial communication is a relevant mechanism for interactions between different microbial species. When resides in the intestine of either avian or human hosts, it is exposed to diverse bacteria from the microbiome. This study aimed to reveal the influence of co-incubation with , , or on the proteome of 81-176 using data-independent-acquisition mass spectrometry (DIA-MS). We compared the proteome profiles during co-incubation with the proteome profile in response to the bile acid deoxycholate (DCA) and investigated the impact of DCA on proteomic changes during co-incubation, as is exposed to both factors during colonization. We identified 1,375 proteins by DIA-MS, which is notably high, approaching the theoretical maximum of 1,645 proteins. had the highest impact on the proteome of with 215 up-regulated and 230 down-regulated proteins. However, these numbers are still markedly lower than the 526 up-regulated and 516 down-regulated proteins during DCA exposure. We identified a subset of 54 significantly differentially expressed proteins that are shared after co-incubation with all three microbial species. These proteins were indicative of a common co-incubation response of . This common proteomic response partly overlapped with the DCA response; however, several proteins were specific to the co-incubation response. In the co-incubation experiment, we identified three membrane-interactive proteins among the top 20 up-regulated proteins. This finding suggests that the presence of other bacteria may contribute to increased adherence, e.g., to other bacteria but eventually also epithelial cells or abiotic surfaces. Furthermore, a conjugative transfer regulon protein was typically up-expressed during co-incubation. Exposure to both, co-incubation and DCA, demonstrated that the two stressors influenced each other, resulting in a unique synergistic proteomic response that differed from the response to each stimulus alone. Data are available via ProteomeXchange with identifier PXD046477.
在动态微生物生态系统中，细菌通讯是不同微生物物种间相互作用的一种相关机制。当（此处原文缺失具体微生物名称）存在于禽类或人类宿主的肠道中时，它会接触到微生物群落中的多种细菌。本研究旨在利用数据非依赖型采集质谱法（DIA-MS）揭示与（此处原文缺失具体微生物名称）、（此处原文缺失具体微生物名称）或（此处原文缺失具体微生物名称）共同孵育对81-176（此处原文缺失具体微生物名称）蛋白质组的影响。我们将共同孵育期间的蛋白质组图谱与对胆汁酸脱氧胆酸盐（DCA）反应的蛋白质组图谱进行了比较，并研究了DCA对共同孵育期间蛋白质组变化的影响，因为（此处原文缺失具体微生物名称）在定殖过程中会同时受到这两种因素的影响。我们通过DIA-MS鉴定出1375种蛋白质，这一数量显著较高，接近理论最大值1645种蛋白质。（此处原文缺失具体微生物名称）对（此处原文缺失具体微生物名称）的蛋白质组影响最大，有215种蛋白质上调，230种蛋白质下调。然而，这些数量仍明显低于DCA暴露期间上调的526种蛋白质和下调的516种蛋白质。我们鉴定出一组54种显著差异表达的蛋白质，它们在与所有三种微生物物种共同孵育后都有出现。这些蛋白质表明了（此处原文缺失具体微生物名称）的一种共同的共同孵育反应。这种共同的蛋白质组反应部分与DCA反应重叠；然而，有几种蛋白质是共同孵育反应所特有的。在共同孵育实验中，我们在20种上调幅度最大的蛋白质中鉴定出三种膜相互作用蛋白。这一发现表明其他细菌的存在可能有助于增加黏附，例如黏附到其他细菌，但最终也可能黏附到上皮细胞或非生物表面。此外，一种接合转移调控子蛋白在共同孵育期间通常会上调表达。同时暴露于共同孵育和DCA表明，这两种应激源相互影响，导致了一种独特的协同蛋白质组反应，该反应不同于单独对每种刺激的反应。数据可通过ProteomeXchange获取，标识符为PXD046/477。
