Insight of microbial interactions in silage inoculation for amending fermentation quality and antioxidant capacity based on combination of modern multi-sensor technology, molecular microbiological methods, and optimal selection modelling

基于现代多传感器技术、分子微生物学方法和最佳选择模型的结合，深入了解青贮饲料接种中的微生物相互作用，以改善发酵质量和抗氧化能力

• 批准号: 514571158
• 负责人: Professor Dr. Wolfgang Büscher
• 金额: --
• 依托单位: Institut für Landtechnik (ILT)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/514571158?language=en
• 关键词: Insight; microbial; interactions; silage; inoculation

Silage is worldwide the most important feedstuff for farm ruminants and substrate for biogas i.e. bioenergy production. Various biological/chemical additives have been applied for both amending fermentation quality and antioxidant capacity of silage over the last three decades. For deeper understanding of microbial roles of biological silage additives, it is critical to get insight of microbial interaction in silage inoculation, focused on optimal ensiling and optimal selection of lactic acid bacteria (LAB). This proposal presents an interdisciplinary fundamental study, combined with multi-sensor-fusion measurement, molecular microbiological analyses, biochemical LAB fermentation under optimal control theory and optimal insolation of LAB from common silage crops. Two research teams of Bonn University will cooperate together for the proposed study: one leaded by Prof. Dr. W. Büscher responsible for in situ screening of microbial activities by using multi-sensor technology and one leaded by Prof. Dr. A. Lipski responsible for molecular microbiological interpretation. The highlights of this study can be characterized as follows: ● The sounded works of preliminary study (novel experimental methods and first reported experimental data) about the optimal preselection of the strains of LAB and optimal LAB fermentation are presented from both teams. ●A series of advanced multi-sensor instruments for in situ measurement of CO2, Ethanol, O2, pH and temperature from or within silage, under anaerobic, semi-aerobic and aerobic experimental conditions, this ensures to precisely track/screen microbial activities/ metabolism during the process of LAB anaerobic fermentation and the aerobic decomposition of lactic acid in silage during aerobic experiment. ● Mathematical modelling associated with the generalized problem of Bolza equation (a basic equation of optimal control theory in applied mathematics), and to conduct the proposed experiment will result in optimal insolation and selection of LAB’s strains. ● The analyses of co-cultures of isolates from silage to detect mutualistic interactions between strains during ensiling biochemical activities. Growth rates and acid production will be analyzed for single strains and co-cultures. For characterizing the interactions the synthesis and effects of quorum sensing autoinducers will be analyzed as well as transcriptome analyses of co-cultures to detect regulatory interactions. The mutualistic activities of co-cultures will be quantified and analyzed in detail by means of the developed multi-sensor mini bioreactor system.

青贮饲料是世界范围内农场反刍动物最重要的饲料和沼气（即生物能源生产）的基质。在过去的三十年中，各种生物/化学添加剂已被应用于改善青贮饲料的发酵质量和抗氧化能力。为了更深入地了解生物青贮饲料添加剂的微生物作用，了解青贮饲料接种中微生物的相互作用至关重要，重点关注乳酸菌（LAB）的最佳青贮和最佳选择。该提案提出了一项跨学科的基础研究，结合了多传感器融合测量、分子微生物分析、最优控制理论下的生化乳酸菌发酵以及常见青贮作物乳酸菌的最佳日照。波恩大学的两个研究团队将共同合作开展这项拟议的研究：一个由 W. Büscher 教授领导，负责利用多传感器技术对微生物活性进行原位筛查，另一个由 A. Lipski 教授领导，负责分子微生物学解释。本研究的亮点可概括为： ● 双方团队均提出了关于 LAB 菌株最优预选和最优 LAB 发酵的初步研究成果（新颖的实验方法和首次报道的实验数据）。 ●一系列先进的多传感器仪器，可在厌氧、半好氧和好氧实验条件下原位测量青贮饲料中的CO2、乙醇、O2、pH和温度，确保在LAB厌氧发酵过程和需氧实验中青贮饲料中乳酸有氧分解过程中精确跟踪/筛选微生物活动/代谢。 ● 与 Bolza 方程（应用数学中最优控制理论的基本方程）的广义问题相关的数学建模，并进行所提出的实验将导致 LAB 菌株的最佳照射和选择。 ● 分析青贮饲料中分离菌的共培养物，以检测青贮生化活动期间菌株之间的互利相互作用。将分析单一菌株和共培养物的生长速率和产酸量。为了表征相互作用，将分析群体感应自诱导剂的合成和效果以及共培养物的转录组分析以检测调节相互作用。共培养物的互惠活动将通过开发的多传感器微型生物反应器系统进行详细量化和分析。