Microbiology

Trypanosoma cruzi, the causative agent of Chagas disease, faces significant metabolic challenges due to fluctuating nutrient availability and oxidative stress within its insect vector. Metabolomic techniques, such as gas chromatography–mass spectrometry (GC–MS), have been widely used to study the adaptive mechanisms of the parasite. This article describes a standardized method for the untargeted metabolomics analysis of T. cruzi epimastigote, covering parasite cultivation, sample deproteinization with methanol, metabolite extraction, derivatization with BSTFA, and GC–MS analysis. To ensure robustness and reproducibility, statistical analysis uses univariate tests, as well as multivariate approaches such as principal component analysis (PCA) and partial least squares (PLS) regression. The protocol offers a reliable and sensitive method to study metabolic responses in T. cruzi under environmental stress, with low biological variability and high reproducibility.

The study of haloarchaea provides an opportunity to expand understanding of the mechanisms used by extremophiles to thrive in and respond to harsh environments, including hypersaline and oxidative stress conditions. A common strategy used to investigate molecular mechanisms of stress response involves the deletion and/or site-directed mutagenesis of genes identified through omics studies followed by a comparison of the mutant and wild-type strains for phenotypic differences. The experimental methods used to monitor these differences must be controlled and reproducible. Current methods to examine recovery of halophilic archaea from extreme stress are complicated by extended incubation times, nutrients not typically encountered in the environment, and other related limitations. Here we describe a method for assessing the function of genes during hypochlorite stress in the halophilic archaeon Haloferax volcanii that overcomes these types of limitations. The method was found reproducible and informative in identifying genes needed for H. volcanii to recover from hypochlorite stress.

Cyanobacteria are Gram-negative oxygen-producing photosynthetic bacteria that are useful in the pharmaceutical and biofuel industries. Monitoring of oxidative stress under fluctuating environmental conditions is important for determining the fitness, survival, and growth of cyanobacteria in the laboratory as well as in large scale cultivation systems. Here, we provide a protocol developed using unicellular Synechococcus elongatus PCC 7942 and filamentous Fremyella diplosiphon BK14 cyanobacteria for high-throughput oxidative stress measurement by 2′,7′-dichlorodihydrofluorescein-diacetate (DCFH-DA) and flow cytometry (FCM). We also provide details for the optimization of cell number, dye concentration, and FCM parameters for each organism before it can be utilized to quantify reactive oxygen species (ROS). FCM-based method can be used to measure ROS in a large population of cyanobacterial cells in a high-throughput manner.

Graphical abstract:

Light is a double-edged sword: it is essential for life on the planet but also causes cellular damage and death. Consequently, organisms have evolved systems not only for harvesting and converting light energy into chemical energy but also for countering its toxic effects. Despite the omnipresence and importance of such light-dependent effects, there are very few unbiased genetic screens, if any, investigating the mechanistic consequences that visible light has on cells. Baker’s yeast, Saccharomyces cerevisiae, is one of the best annotated organisms thanks to several easily available mutant collections and its amenability to high-throughput genetic screening. However, until recently this yeast was thought to lack receptors for visible light, therefore its response to visible light was poorly understood. Nevertheless, a couple of years ago it was discovered that yeast senses light via a novel and unconventional pathway involving a peroxisomal oxidase, hydrogen peroxide, and a particular type of antioxidant protein, called peroxiredoxin. Here, we describe in detail a protocol for scoring yeast genes involved in the resistance to visible light (400-700 nm) on a genome-wide scale. Because cells in dense cultures shield each other from light exposure, resulting in apparent light resistance, our method involves adaptations to reduce inoculum size under conditions amenable to high-throughput screens, to properly be able to identify light-sensitive mutants. We also describe how to measure growth in the presence of light, including two follow-up validation tests. In this way, this method makes it possible to score light-sensitivity on a genome-wide scale with high confidence.

Graphic abstract:

Overview of strategy for high-throughput determination of yeast growth upon visible light stress.

Fungal metallo-tolerance has been described in different species and plays an important role in bioremediation of contaminated environments. Metallo-tolerance is mainly documented by microdilution assays and agar well diffusion methods using equipment that can be expensive. The tolerance index can be calculated to determine the efficiency of a fungus to degrade and resist heavy metals. The present protocol is based on analyzing the tolerance index and minimum inhibitory concentration of the metallo-tolerance potential of culturable fungi on solid media. This can be calculated by daily measurements of colony size on agar supplemented with different concentrations of heavy metals. This method is an easy approach to determine fungal heavy metal resistance using simple laboratory equipment without spectroscopy.