We have defined the environmental interface through the exchange processes between media forming this interface. Considering the environmental interface as a complex system we elaborated the advanced mathematical tool...We have defined the environmental interface through the exchange processes between media forming this interface. Considering the environmental interface as a complex system we elaborated the advanced mathematical tools for its modelling. We have suggested two coupled maps serving the exchange processes on the environmental interfaces spatially ranged from cellular to planetary level, i.e. 1) the map with diffusive coupling for energy exchange simulation and 2) the map with affinity, which is suitable for matter exchange processes at the cellular level. We have performed the dynamical analysis of the coupled maps using the Lyapunov exponent, cross sample as well as the permutation entropy in dependence on different map parameters. Finally, we discussed the map with affinity, which shows some features making it a promising toll in simulation of exchange processes on the environmental interface at the cellular level.展开更多
文摘We have defined the environmental interface through the exchange processes between media forming this interface. Considering the environmental interface as a complex system we elaborated the advanced mathematical tools for its modelling. We have suggested two coupled maps serving the exchange processes on the environmental interfaces spatially ranged from cellular to planetary level, i.e. 1) the map with diffusive coupling for energy exchange simulation and 2) the map with affinity, which is suitable for matter exchange processes at the cellular level. We have performed the dynamical analysis of the coupled maps using the Lyapunov exponent, cross sample as well as the permutation entropy in dependence on different map parameters. Finally, we discussed the map with affinity, which shows some features making it a promising toll in simulation of exchange processes on the environmental interface at the cellular level.
文摘【目的】利用环境转录组技术,研究复杂稻田土壤中微生物群落主要生理代谢过程的基因表达水平及其对长期施氮磷钾肥(Mineral nitrogen,phosphorus,and potassium,NPK)的响应规律。【方法】针对中国科学院常熟农田生态系统长期定位试验的NPK施肥处理和不施肥对照处理(Control check,CK)稻田土壤,淹水培养2周后提取土壤微生物总RNA进行高通量转录组测序,利用MG-RAST网络分析平台(Metagenomics Analysis Server)进行活性微生物组成分析、基因功能注释及基因功能分类。【结果】细菌是CK和NPK处理稻田土壤微生物的优势类群,占比高达95%以上,细菌中的活性基因主要源于变形菌门(Proteobacteria,占细菌的50%以上)。同时也检测到古菌、真核生物和病毒等多种微生物的活性基因,而古菌中的活性基因主要源于奇古菌门(Thaumarchaeota,约占古菌的70%)。酸杆菌门(Acidobacteria)在NPK处理土壤中的转录活性显著高于CK处理土壤,而其他的细菌及古菌类群的转录活性在CK和NPK处理土壤间无显著性差异。CK和NPK处理土壤中表达量最高的基因是ABC transporter编码基因,与物质跨膜运输紧密相关。基于COG(Clusters of Orthologous Genes)、Subsystem、KEGG(Kyoto Encyclopedia of Genes and Genomes)3种基因功能分类数据库,发现CK和NPK处理土壤中微生物的主要代谢活动均为能量产生与转化、碳水化合物代谢、蛋白代谢和氨基酸代谢,而最活跃的代谢路径为氧化磷酸化及氨酰-tRNA合成。【结论】淹水状态下CK和NPK处理稻田土壤中的活性微生物组成较为一致,仅Acidobacteria的转录活性在两者间差异较大;在微生物的主要代谢活动方面,CK和NPK处理土壤之间基本一致,均以能量获取与蛋白代谢为主,长期施用无机化肥对复杂土壤微生物群落水平的主要代谢活动影响较小。
