Machine Learning Models for Segmentation and Classification of Cyanobacterial Cells.

Timelapse microscopy has recently been employed to study the metabolism and physiology of cyanobacteria at the single-cell level. However, the identification of individual cells in brightfield images remains a significant challenge. Traditional intensity-based segmentation algorithms perform poorly when identifying individual cells in dense colonies due to a lack of contrast between neighboring cells.

Role of carboxysomes in cyanobacterial CO assimilation: CO concentrating mechanisms and metabolon implications.

Many carbon-fixing organisms have evolved CO concentrating mechanisms (CCMs) to enhance the delivery of CO to RuBisCO, while minimizing reactions with the competitive inhibitor, molecular O . These distinct types of CCMs have been extensively studied using genetics, biochemistry, cell imaging, mass spectrometry, and metabolic flux analysis. Highlighted in this paper, the cyanobacterial CCM features a bacterial microcompartment (BMC) called 'carboxysome' in which RuBisCO is co-encapsulated with the enzyme carbonic anhydrase (CA) within a semi-permeable protein shell.

Computational modeling and evolutionary implications of biochemical reactions in bacterial microcompartments.

Bacterial microcompartments (BMCs) are protein-encapsulated compartments found across at least 23 bacterial phyla. BMCs contain a variety of metabolic processes that share the commonality of toxic or volatile intermediates, oxygen-sensitive enzymes and cofactors, or increased substrate concentration for magnified reaction rates. These compartmentalized reactions have been computationally modeled to explore the encapsulated dynamics, ask evolutionary-based questions, and develop a more systematic understanding required for the engineering of novel BMCs.

Short chain α-pyrones capable of potentiating penicillin G against Pseudomonas aeruginosa.

The dramatic increase in bacterial resistance over the past three decades has greatly reduced the effectiveness of nearly all clinical antibiotics, bringing infectious disease to the forefront as a dire threat to global health. To combat these infections, adjuvant therapies have emerged as a way to reactivate known antibiotics against resistant pathogens. Herein, we report the evaluation of simplified α-pyrone adjuvants capable of potentiating penicillin G against Pseudomonas aeruginosa, a Gram-negative pathogen whose multidrug-resistant strains have been labeled by the Centers for Disease Control and Prevention as a serious threat to public health.

Development of a Robust and Quantitative High-Throughput Screening Method for Antibiotic Production in Bacterial Libraries.

Over the past 30 years, there has been a dramatic rise in the number of infections caused by multidrug-resistant bacteria, which have proliferated due to the misuse and overuse of antibiotics. Over this same time period, however, there has also been a decline in the number of antibiotics with novel mechanisms of action coming to market. Therefore, there is a growing need for an increase in the speed at which new antibiotics are discovered and developed.