发布: 2020年10月05日第10卷第19期 DOI: 10.21769/BioProtoc.3784 浏览次数: 2567
评审: Dennis J NürnbergJoseph Gitau GikonyoAnonymous reviewer(s)
Abstract
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.
Keywords: Oxygenic photogranules (含氧感光颗粒)Background
OPGs are dense, roughly spherical aggregates with diameters of several millimeters containing a syntrophic community of heterotrophic and phototrophic microorganisms (Milferstedt et al., 2017). Microbial ecologists study photogranulation to understand what factors drive the formation of the three-dimensional (3D) structure. This knowledge can be applied to steer ecosystem function towards a desired function for biotechnological processes, such as wastewater treatment and the production of value-added products (Abouhend et al., 2018; Quijano et al., 2017). OPGs can be produced from a sludge-like microbial matrix, i.e., activated sludge from the aeration basin of a wastewater treatment plant (Milferstedt et al., 2017; Park and Dolan, 2015). The transformation of this sludge takes place in closed, unagitated vials exposed to light. Over the course of several weeks, the sludge bed compacts (i.e., reduces in height) and contracts (i.e., reduces in diameter) and transforms into one consolidated, 3D aggregate per vial (Figure 1A). Experimental images are automatically acquired through the bottom of vials at a pre-set interval (Figure 1B) of multiple replicates simultaneously. Images are treated in ImageJ (Schneider et al., 2012), extending a macro developed for the quantification of naturally occurring OPGs called cryoconite granules (Irvine-Fynn et al., 2010). Dynamics of biomass contraction is calculated and plotted in the software environment R (R Core Team, 2019). This protocol enables testing photogranulation in a large number of repetitions, e.g., using different sludge sources or environmental conditions to advance the understanding of photogranulation. The protocol can also be used to quantify other types of (a)biotic aggregation.
Figure 1. Typical course of photogranulation, including compaction and contraction. Note the displayed images are for illustration purposes and were not obtained with the protocol presented here. A. Temporal progression of the transformation of loose activated sludge into a consolidated OPG in a 10 ml serum bottle with an outer diameter of 24 mm (adapted from Milferstedt et al., 2017). Arrows illustrate the terms compaction and contraction; B. Temporal progression of biomass contraction seen through the bottom of one well of a 24-well microplate with an outer diameter of 16 mm.
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文章信息
版权信息
© 2020 The Authors; exclusive licensee Bio-protocol LLC.
如何引用
Joosten, E. D., Hamelin, J. and Milferstedt, K. (2020). Simple Time-lapse Imaging for Quantifying the Hydrostatic Production of Oxygenic Photogranules. Bio-protocol 10(19): e3784. DOI: 10.21769/BioProtoc.3784.
分类
微生物学 > 微生物生物膜 > 生物膜培养
生物科学 > 微生物学 > 微生物群落
细胞生物学 > 细胞成像 > 活细胞成像
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