Gao Xiaodong, Cheng Hsiao-Ying, Del Valle Ilenne, Liu Shirley, Masiello Caroline A, Silberg Jonathan J
Department of Earth Science, Department of Bioengineering, Systems, Synthetic, and Physical Biology Graduate Program, and Department of Biosciences, Rice University, 6100 Main Street, Houston, Texas 77005, United States.
ACS Omega. 2016 Aug 31;1(2):226-233. doi: 10.1021/acsomega.6b00085. Epub 2016 Aug 23.
The presence of charcoal in soil triggers a range of biological effects that are not yet predictable, in part because it interferes with the functioning of chemical signals that microbes release into their environment to communicate. We do not fully understand the mechanisms by which charcoal alters the biologically available concentrations of these intercellular signals. Recently, charcoal has been shown to sorb the signaling molecules that microbes release, rendering them ineffective for intercellular communication. Here, we investigate a second, potentially more important mechanism of interference: signaling-molecule hydrolysis driven by charcoal-induced soil pH changes. We examined the effects of 10 charcoals on the bioavailable concentration of an acyl-homoserine lactone (AHL) used by many Gram-negative bacteria for cell-cell communication. We show that charcoals decrease the level of bioavailable AHL through sorption and pH-dependent hydrolysis of the lactone ring. We then built a quantitative model that predicts the half-lives of different microbial signaling compounds in the presence of charcoals varying in pH and surface area. Our model results suggest that the chemical effects of charcoal on pH-sensitive bacterial AHL signals will be fundamentally distinct from effects on pH-insensitive fungal signals, potentially leading to shifts in microbial community structures.
土壤中木炭的存在引发了一系列尚未可预测的生物学效应,部分原因是它干扰了微生物释放到环境中用于交流的化学信号的功能。我们尚未完全了解木炭改变这些细胞间信号生物可利用浓度的机制。最近,已表明木炭会吸附微生物释放的信号分子,使其对细胞间通讯无效。在此,我们研究另一种可能更重要的干扰机制:由木炭引起的土壤pH变化驱动的信号分子水解。我们研究了10种木炭对许多革兰氏阴性细菌用于细胞间通讯的酰基高丝氨酸内酯(AHL)生物可利用浓度的影响。我们表明,木炭通过内酯环的吸附和pH依赖性水解降低了生物可利用的AHL水平。然后,我们建立了一个定量模型,该模型可预测在pH值和表面积不同的木炭存在下不同微生物信号化合物的半衰期。我们的模型结果表明,木炭对pH敏感的细菌AHL信号的化学效应将与对pH不敏感的真菌信号的效应有根本区别,这可能导致微生物群落结构的变化。