School of Earth and Space Exploration, Arizona State University, Tempe, Arizona, United States of America.
PLoS One. 2011;6(8):e22782. doi: 10.1371/journal.pone.0022782. Epub 2011 Aug 11.
Uncovering the chemical and physical links between natural environments and microbial communities is becoming increasingly amenable owing to geochemical observations and metagenomic sequencing. At the hot spring known as Bison Pool in Yellowstone National Park, the cooling of the water in the outflow channel is associated with an increase in oxidation potential estimated from multiple field-based measurements. Representative groups of proteins whose sequences were derived from metagenomic data also exhibit an increase in average oxidation state of carbon in the protein molecules with distance from the hot-spring source. The energetic requirements of reactions to form selected proteins used in the model were computed using amino-acid group additivity for the standard molal thermodynamic properties of the proteins, and the relative chemical stabilities of the proteins were investigated by varying temperature, pH and oxidation state, expressed as activity of dissolved hydrogen. The relative stabilities of the proteins were found to track the locations of the sampling sites when the calculations included a function for hydrogen activity that increases with temperature and is higher, or more reducing, than values consistent with measurements of dissolved oxygen, sulfide and oxidation-reduction potential in the field. These findings imply that spatial patterns in the amino acid compositions of proteins can be linked, through energetics of overall chemical reactions representing the formation of the proteins, to the environmental conditions at this hot spring, even if microbial cells maintain considerably different internal conditions. Further applications of the thermodynamic calculations are possible for other natural microbial ecosystems.
由于地球化学观测和宏基因组测序的发展,揭示自然环境与微生物群落之间的化学和物理联系变得越来越可行。在黄石国家公园的野牛池温泉,从多个基于现场的测量中估计,流出通道中的水冷却与氧化势的增加有关。从宏基因组数据中推导出来的代表蛋白质组的序列,其蛋白质分子的平均氧化态也随着与温泉源的距离增加而增加。使用标准克分子热力学性质的氨基酸组加性,计算了形成模型中使用的选定蛋白质的反应的能量需求,并且通过改变温度、pH 值和氧化态(表示为溶解氢的活性)研究了蛋白质的相对化学稳定性。当计算包括一个随温度升高的氢活性函数时,并且该函数的值高于或更具还原性,与现场测量的溶解氧、硫化物和氧化还原电位一致时,发现蛋白质的相对稳定性与采样点的位置相吻合。这些发现意味着,通过代表蛋白质形成的整体化学反应的能量学,可以将蛋白质的氨基酸组成的空间模式与该温泉的环境条件联系起来,即使微生物细胞保持相当不同的内部条件。对于其他自然微生物生态系统,热力学计算的进一步应用是可能的。