Rachel Moore

Rachel Moore

Research Scientist II - Georgia Tech

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Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

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Scavenging of Sub-Micron to Micron-Sized Microbial Aerosols during Simulated Rainfall

Published in Atmosphere, 2020

The processes removing aerosols from the atmosphere during rainfall are generically referred to as scavenging. Scavenging influences aerosol distributions in the atmosphere, with consequent effects on cloud properties, radiative forcing, and human health. In this study, we investigated the below-cloud scavenging process, specifically focusing on the scavenging of 0.2 to 2 µm-sized microbial aerosols by populations of water drops with average diameters of 3.0 and 3.6 mm.

Recommended citation: Moore, R.A.; Hanlon, R.; Powers, C.; Schmale, D.G., III; Christner, B.C. Scavenging of Sub-Micron to Micron-Sized Microbial Aerosols during Simulated Rainfall. Atmosphere 2020, 11, 80. https://www.mdpi.com/614202

Wildland fire as an atmospheric source of viable microbial aerosols and biological ice nucleating particles

Published in ISMEJ, 2020

In this study we analyzed microbial cells and biological ice nucleating particles (INPs) in smoke emitted from eight prescribed wildland fires in North Florida.

Recommended citation: Moore, Rachel; Bomar, C.; Kobziar, L; Christner, B.C. (2020). Wildland fire as an atmospheric source of viable microbial aerosols and biological ice nucleating particles. ISMEJ. https://www.nature.com/articles/s41396-020-00788-8

Published in , 1900

Unveiling metabolic pathways involved in the extreme desiccation tolerance of an Atacama cyanobacterium

Published in Scientific Reports, 2023

In this study, we developed a genome-scale model (GEM; iGd895) to explore the metabolic capacity of G. dulcis undergoing desiccation. GEMs have been used to decipher microbial metabolism by integrating genomic information into a mathematical framework that simulates metabolism using optimization techniques, such as flux balance analysis (FBA). This technique allows for the prediction of cellular growth and production rates of metabolites under specified conditions. GEMs have been utilized for diverse applications, such as predicting enzyme functions, modeling microbial cell interactions9, and investigating microbial growth in various environmental contexts.

Recommended citation: Moore, R.A., Azua-Bustos, A., González-Silva, C. et al. Unveiling metabolic pathways involved in the extreme desiccation tolerance of an Atacama cyanobacterium. Sci Rep 13, 15767 (2023). https://doi.org/10.1038/s41598-023-41879-8 https://www.nature.com/articles/s41598-023-41879-8

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