Quantification of cell size distribution as applied to the growth of Corynebacterium glutamicum

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements

With the acceleration of urbanization and living standards, microorganisms play an increasingly important role in industrial production, bio-technique, and food safety testing. Microorganism biovolume measurements are one of the essential parts of microbial analysis. However, traditional manual measurement methods are time-consuming and challenging to measure the characteristics precisely. With the development of digital image processing techniques, the characteristics of the microbial population can be detected and quantified. The applications of the microorganism biovolume measurement method have developed since the 1980s. More than 62 articles are reviewed in this study, and the articles are grouped by digital image analysis methods with time. This study has high research significance and application value, which can be referred to as microbial researchers to comprehensively understand microorganism biovolume measurements using digital image analysis methods and potential applications.

Pathological changes by Eosinophilic Rickettsia-like organism in Japanese oyster, Crassostrea gigas

Rickettsia infection in adult Japanese oysters (Crassostrea gigas) was observed in 2015 at San Ignacio Lagoon, Baja California Sur, Mexico and characterized using molecular tools. In the present study, the degree of infection by Eosinophilic Rickettsia-Like Organism (E-RLO), characterized by intracellular inclusions in gill, mantle, labial palps, digestive tract and gonadal ducts, was evaluated using histological methods and was associated with visible injuries on body surface, such as blisters, shell damage and necrosis. Most of the oysters (92.2%) had some type of observable symptoms; 90.2% of all oysters had blisters in the mantle, and all oysters presented with E-RLO in the epithelia of at least one of the analyzed tissues (gills, labial palps, mantle, gonadal ducts and digestive tract). The highest intensity of infection (percent of E-RLO coverage) was observed in the labial palps (18.6%) and the lowest in digestive tract (2.6% of the examined tissue). Oysters with external injuries had higher infection intensities than the oysters without external injuries. Considering the clinical signs (observable symptoms and histological findings), we propose three infective stages of E-RLO disease development, a scale that could be used for early detection.

Monitoring of population dynamics of Corynebacterium glutamicum by multiparameter flow cytometry

Phenotypic variation of microbial populations is a well-known phenomenon and may have significant impact on the success of industrial bioprocesses. Flow cytometry (FC) and the large repertoire of fluorescent dyes bring the high-throughput analysis of multiple parameters in single bacterial cells into reach. In this study, we evaluated a set of different fluorescent dyes for suitability in FC single cell analysis of the biotechnological platform organism Corynebacterium glutamicum. Already simple scattering properties of C. glutamicum cells in the flow cytometer were shown to provide valuable information on the growth activity of analysed cells. Furthermore, we used DAPI staining for a FC-based determination of the DNA content of C. glutamicum cells grown on standard minimal or complex media. Characteristic DNA patterns were observed mirroring the typical uncoupled DNA synthesis in the logarithmic (log) growth phase and are in agreement with a symmetric type of cell division of C. glutamicum. Application of the fluorescent dyes Syto 9, propidium iodide, and DiOC₂(3) allowed the identification of subpopulations with reduced viability and membrane potential within early log and stationary phase populations. The presented data highlight the potential of FC-based analyses for online monitoring of C. glutamicum bioprocesses and provide a first reference for future applications and protocols.