Joosten Esmee D, Hamelin Jérôme, Milferstedt Kim
INRAE, Univ Montpellier, LBE, 102 Avenue des Etangs, 11100, Narbonne, France.
Bio Protoc. 2020 Oct 5;10(19):e3784. doi: 10.21769/BioProtoc.3784.
Oxygenic photogranules (OPGs) are dense, three-dimensional aggregates containing a syntrophic, light-driven microbial community. Their temporal and spatial development interests microbial ecologists working at the bioprocess engineering interface, as this knowledge can be used to optimize biotechnological applications, such as wastewater treatment and biomass valorization. The method presented here enables the high-throughput quantification of photogranulation. OPGs are produced from a loose sludge-like microbial matrix in hydrostatic batch cultures exposed to light. This matrix transforms into a consolidated, roughly spherical aggregate over time. Photogranulation is quantified by time-lapse imaging coupled to automated image analysis. This allows studying the development of many OPGs simultaneously and in a fully automated way to systematically test what factors drive photogranulation. The protocol can also be used to quantify other types of (a)biotic aggregation.
产氧光颗粒（OPGs）是一种致密的三维聚集体，其中包含一个营养共生、光驱动的微生物群落。它们的时空发育引起了在生物过程工程界面工作的微生物生态学家的兴趣，因为这些知识可用于优化生物技术应用，如废水处理和生物质增值。本文介绍的方法能够对光颗粒化进行高通量定量分析。OPGs是在静水压分批培养中，由一种松散的污泥状微生物基质在光照下产生的。随着时间的推移，这种基质会转变为一个固结的、大致呈球形的聚集体。通过延时成像与自动图像分析相结合来对光颗粒化进行定量分析。这使得能够同时以完全自动化的方式研究许多OPG的发育情况，从而系统地测试驱动光颗粒化的因素。该方案还可用于量化其他类型的（非）生物聚集。
