Orellana Esteban, Davies-Sala Carol, Guerrero Leandro D, Vardé Ignacio, Altina Melisa, Lorenzo María Cielo, Figuerola Eva L, Pontiggia Rodrigo M, Erijman Leonardo
Instituto de Investigaciones en Ingeniería Genética y Biología Molecular 'Dr Héctor N. Torres' (INGEBI-CONICET), Vuelta de Obligado 2490, C1428ADN Buenos Aires, Argentina E-mail:
Investigación, Desarrollo e Innovación, Benito Roggio Ambiental, Buenos Aires, Argentina.
Water Sci Technol. 2019 May;79(10):1956-1965. doi: 10.2166/wst.2019.194.
Addition of food waste (FW) as a co-substrate in anaerobic digesters of wastewater treatment plants is a desirable strategy towards achievement of the potential of wastewater treatment plants to become energy-neutral, diverting at the same time organic waste from landfills. Because substrate type is a driver of variations in phylogenetic structure of digester microbiomes, it is critical to understand how microbial communities respond to changes in substrate composition and concentration. In this work, high throughput sequencing was used to monitor the dynamics of microbiome changes in four parallel laboratory-scale anaerobic digesters treating sewage sludge during acclimation to an increasing amount of food waste. A co-occurrence network was constructed using data from 49 metagenomes sampled over the 161 days of the digesters' operation. More than half of the nodes in the network were clustered in two major modules, i.e. groups of highly interconnected taxa that had much fewer connections with taxa outside the group. The dynamics of co-occurrence networks evidenced shifts that occurred within microbial communities due to the addition of food waste in the co-digestion process. A diverse and reproducible group of hydrolytic and fermentative bacteria, syntrophic bacteria and methanogenic archaea appeared to grow in a concerted fashion to allow stable performance of anaerobic co-digestion at high FW.
在污水处理厂的厌氧消化池中添加食物垃圾（FW）作为共底物，是实现污水处理厂能源中立潜力、同时将有机废物从垃圾填埋场转移的理想策略。由于底物类型是消化池微生物群落系统发育结构变化的驱动因素，了解微生物群落如何响应底物组成和浓度的变化至关重要。在这项工作中，利用高通量测序监测了四个平行实验室规模厌氧消化池中微生物群落的动态变化，这些消化池在适应食物垃圾量增加的过程中处理污水污泥。使用消化池运行161天期间采集的49个宏基因组数据构建了共现网络。网络中超过一半的节点聚集在两个主要模块中，即高度相互连接的分类单元组，这些分类单元与组外分类单元的连接要少得多。共现网络的动态变化证明了在共消化过程中由于添加食物垃圾而在微生物群落内发生的转变。一组多样且可重复的水解和发酵细菌、互营细菌和产甲烷古菌似乎以协同方式生长，从而在高食物垃圾添加量下实现厌氧共消化的稳定运行。
