Aconitase-2 (Aco2) is present in the mitochondria, cytosol, and nucleus of fission yeast. To explore its function beyond the well-known role in the mitochondrial tricarboxylic acid (TCA) cycle, we conducted genome-wide profiling using the aco2ΔNLS mutant, which lacks a nuclear localization signal (NLS). The RNA sequencing (RNA-seq) data showed a general downregulation of electron transport chain (ETC) genes in the aco2ΔNLS mutant, except for those in the complex II, leading to a growth defect in respiratory-prone media.
Complementation analysis with non-catalytic Aco2 [aco2ΔNLS + aco2(3CS)], where three cysteines were substituted with serine, restored normal growth and typical ETC gene expression. This suggests that Aco2's catalytic activity is not essential for its role in ETC gene regulation. Our mRNA decay assay indicated that the decrease in ETC gene expression was due to transcriptional regulation rather than changes in mRNA stability. Additionally, we investigated the Php complex's role in ETC gene regulation and found that ETC genes, except those within complex II, were downregulated in php3Δ and php5Δ strains, similar to the aco2ΔNLS mutant. These findings highlight a novel role for nuclear aconitase in ETC gene regulation and suggest a potential connection between the Php complex and Aco2.
Candida species cause the most prevalent fungal illness, candidiasis.
Candida albicans is known to cause bloodstream infections.
This species is a commensal bacterium, but it can
cause hospital–acquired diseases, particularly in COVID-19
patients with impaired immune systems. Candida infections
have increased in patients with acute respiratory distress syndrome.
Coumarins are both naturally occurring and synthetically
produced. In this study, the biological activity of 40 coumarin
derivatives was used to create a three-dimensional quantitative
structure activity relationship (3D-QSAR) model. The
training and test minimum inhibitory concentration values
of C. albicans active compounds were split, and a regression
model based on statistical data was established. This model
served as a foundation for the creation of coumarin derivative
QSARs. This is a unique way to create new therapeutic compounds
for various ailments. We constructed novel structural
coumarin derivatives using the derived QSAR model, and the
models were confirmed using molecular docking and molecular
dynamics simulation.
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