Biology subjects

Beilharz, T. H.

Publications and source records attributed to Beilharz, T. H..

5 recordsLinked to original sources

bioRxiv2026

Short chain fatty acids potentiate azoles by reprogramming fungal acetyl-CoA metabolism

Pathogens colonise metabolically diverse host environments. How metabolites found in host environments regulate antimicrobial drug susceptibility remains to be fully understood. Here we report on the roles of gut metabolites, short chain fatty acids (SCFAs), in antifungal drug susceptibility of the gut commensal and fungal pathogen Candida albicans. A genetic screen revealed that C. albicans mutants in peroxisome biogenesis display increased tolerance to the antifungal drug fluconazole. Peroxisomes are important for the metabolism of SCFAs by {beta}-oxidation, and exposure to the SCFAs butyrate and crotonate increased susceptibility and reduced tolerance to fluconazole. To understand if SCFAs inhibit fluconazole tolerance through their ability to inhibit histone deacetylases (HDACs), we compared them with the HDAC inhibitor trichostatin A. These experiments did not reveal an obvious connection between the degree of HDAC inhibition and the degree of fluconazole tolerance reduction. Exposure of C. albicans to crotonate and butyrate revealed transcriptional reprogramming involving remodelling of acetyl-CoA metabolism by upregulation of genes for {beta}-oxidation, peroxisome biogenesis and intracellular transport of acetyl-CoA, while the expression of ergosterol biosynthesis genes was reduced. Since ergosterol gene expression is required to overcome fluconazole stress, these results explain how SCFAs reduce fluconazole tolerance. Taken together, our results implicate peroxisome biogenesis and metabolism in fluconazole susceptibility. We posit that balanced acetyl-CoA metabolism promotes sufficient ergosterol biosynthesis to overcome fluconazole stress and drive tolerant growth. These pathways are perturbed by metabolic changes induced by SCFAs. These findings add to our understanding of the importance of metabolic regulation in antimicrobial drug responses. SIGNIFICANCEMetabolites produced by microbiota or host cells regulate microbial metabolism, physiology and drug responses. In the gut, the human commensal and pathogen Candida albicans is exposed to short-chain fatty acids made by bacteria. C. albicans metabolises short-chain fatty acids via peroxisomal {beta}-oxidation. Additionally, short-chain fatty acids change gene expression by inhibiting histone deacetylases. We found that short-chain fatty acids increase the susceptibility of C. albicans to the antifungal drug fluconazole and reduce fluconazole tolerance. Our mechanistic studies indicate that metabolic utilisation of short-chain fatty acids by C. albicans reduces fluconazole tolerance by changing acetyl-CoA metabolism and causing lower expression of ergosterol biosynthesis genes. Thus, short-chain fatty acids increase fluconazole susceptibility by changing fungal metabolism, while inhibition of histone deacetylases may play a more minor role. These findings shed light on the roles of metabolism and abundant gut metabolites in tolerance to a front-line antifungal drug.

microbiology↗

bioRxiv2022

The landscape of alternative polyadenylation during EMT and its regulation by the RNA-binding protein Quaking

Epithelial-mesenchymal transition (EMT) plays important roles in tumour progression and is orchestrated by dynamic changes in gene expression. While it is well established that post-transcriptional regulation plays a significant role in EMT, the extent of alternative polyadenylation (APA) during EMT has not yet been explored. Using 3 end anchored RNA sequencing, we mapped the alternative polyadenylation landscape (APA) following TGF-{beta}-mediated induction of EMT in human mammary epithelial cells and found APA generally causes 3UTR lengthening during this cell state transition. Analysis of the RNA-binding protein Quaking (QKI), a splicing factor induced during EMT, revealed enrichment of its binding adjacent to cleavage and polyadenylation sites within 3UTRs. Following QKI knockdown, APA of many transcripts are altered to produce predominantly shorter 3UTRs associated with reduced gene expression. Among these, QKI binds to its own cleavage site to produce a transcript with a longer 3UTR. These findings reveal extensive changes in APA occur during EMT and identify a novel function for QKI in this process.

molecular biology↗

bioRxiv2019

Dissecting the Roles of Mitochondrial Complex I Intermediate Assembly (MCIA) Complex Factors in the Biogenesis of Complex I

Mitochondrial Complex I harbors 7 mitochondrial and 38 nuclear-encoded subunits. Its biogenesis requires the assembly and integration of distinct intermediate modules, mediated by numerous assembly factors. The Mitochondrial Complex I Intermediate Assembly (MCIA) complex, containing assembly factors NDUFAF1, ECSIT, ACAD9, and TMEM126B, is required for building the intermediate ND2-module. The role of the MCIA complex and the involvement of other proteins in the biogenesis of this module is unclear. Cell knockout studies reveal that while each MCIA component is critical for complex I assembly, a hierarchy of stability exists centred on ACAD9. We also identify TMEM186 and COA1 as bona fide components of the MCIA complex with loss of either resulting in in MCIA complex defects and reduced complex I assembly. TMEM186 enriches with newly translated ND3, while COA1 enriches with ND2. Our findings provide new functional insights into the essential nature of the MCIA complex in complex I assembly.

biochemistry↗

bioRxiv2018

Widespread cytoplasmic polyadenylation programs asymmetry in the germline and early embryo

BACKGROUNDThe program of embryonic development is launched by selective activation of a silent maternal transcriptome. In Caenorhabditis elegans, nuclei of the adult germline are responsible for the synthesis of at least two distinct mRNA populations; those required for housekeeping functions, and those that program the oocyte-to-embryo transition. We mapped this separation by changes to the length-distribution of poly(A)-tails that depend on GLD-2 mediated cytoplasmic polyadenylation and its regulators genome-wide.\n\nRESULTSMore than 1000 targets of cytoplasmic polyadenylation were identified by differential polyadenylation. Amongst mRNA with the greatest dependence on GLD-2 were those encoding RNA binding proteins with known roles in spatiotemporal patterning such as mex-5 and pos-1. In General, the 3 UTR of GLD-2 targets were longer, contained cytosine-patches, and were enriched for non-standard polyadenylation-motifs. To identify the deadenylase that initiated transcript silencing, we depleted the known deadenylases in the gld-2(0) mutant background. Only the loss of CCF-1 suppressed the short-tailed phenotype of GLD-2 targets suggesting that in addition to its general role in RNA turnover, this is the major deadenylase for regulatory silencing of maternal mRNA. Analysis of poly(A)-tail length-change in the embryo lacking specific RNA-binding proteins revealed new candidates for asymmetric expression in the first embryonic divisions.\n\nCONCLUSIONThe concerted action of RNA binding proteins exquisitely regulates GLD-2 activity in space and time. We present our data as interactive web resources for a model where GLD-2 mediated cytoplasmic polyadenylation regulates target mRNA at each stage of worm germline and early embryonic development.

developmental biology↗

bioRxiv2018

Topconfects: a package for confident effect sizes in differential expression analysis provides improved usability ranking genes of interest

BackgroundA differential gene expression analysis may produce a set of significantly differentially expressed genes that is too large to easily investigate, so that a means of ranking genes by their biological interest level is desirable. The life-sciences have grappled with the abuse of p-values to rank genes for this purpose. As an alternative, a lower confidence bound on the magnitude of Log Fold Change (LFC) could be used to rank genes, but it has been unclear how to reconcile this with the need to perform False Discovery Rate (FDR) correction. The TREAT test of McCarthy and Smyth is a step in this direction, finding genes significantly exceeding a specified LFC threshold. Here we describe the use of test inversion on TREAT to present genes ranked by a confidence bound on the LFC, while still controlling FDR.\n\nResultsTesting the Topconfects R package with simulated gene expression data shows the method outperforming current statistical approaches across a wide range of experiment sizes in the identification of genes with largest LFCs. Applying the method to a TCGA breast cancer data-set shows the method ranks some genes with large LFC higher than would traditional ranking by p-value. Importantly these two ranking methods lead to a different biological emphasis, in terms both of specific highly ranked genes and gene-set enrichment.\n\nConclusionsThe choice of ranking method in differential expression analysis can affect the biological interpretation. The common default of ranking by p-value is implicitly by an effect size in which each gene is standardized to its own variability, rather than comparing genes on a common scale, which may not be appropriate. The Topconfects approach of presenting genes ranked by confident LFC effect size is a variation on the TREAT method with improved usability, removing the need to fine-tune a threshold parameter and removing the temptation to abuse p-values as a de-facto effect size.

bioinformatics↗