Universal plasmids to facilitate gene deletion and gene tagging in filamentous fungi.

Gene manipulation is an important routine technique and its efficiency is often a rate-limiting step in research. To facilitate gene manipulation in filamentous fungi, we adapted the S. cerevisiae Gene Deletion and Gene Tagging plasmid collections to include additional selectable markers that make the useful resources applicable to other fungi. Three markers for auxotrophic selection in Aspergillus and related species (the riboB, pyroA and pyrG genes of Aspergillus fumigatus) and a dominant selectable marker for glufosinate resistance (the Bar gene from Streptomyces hygroscopicus) were introduced to the collections. A total of fifty-six plasmids were constructed for all combinations between the four new markers and thirteen epitope tags (viz., 3xHA, 13xMYC, 3xFLAG, FLAG, MYC, T7, HIS, Strep, S, HSV, VSV-G, V5 and GFP). The selectable marker and epitope tag cassettes are positioned between two universal sequences in the plasmids, and therefore, can be amplified by PCR using the same pair of primers. With these plasmids, we have also established a simple and efficient procedure for making gene deletion and gene tagging transformation DNA constructs. The procedure, along with the universal flanking sequences, allows quick and easy interchange of selectable marker and epitope cassettes in transformation DNA constructs for different selection and/or tagging. To demonstrate utility and efficiency of the system, we simultaneously performed C-terminal tagging of HapB - a subunit of the highly conserved Aspergillus nidulans CCAAT binding complex that plays important transcriptional regulatory roles - using ten different epitopes in order to identify those neutral to HapB function in vivo. It is expected that the expanded plasmid collections coupled with the simple construction strategy would facilitate gene manipulation in many fungal species.

Dampened Regulatory Circuitry of TEAD1/ITGA1/ITGA2 Promotes TGFß1 Signaling to Orchestrate Prostate Cancer Progression.

The extracellular matrix (ECM) undergoes substantial changes during prostate cancer (PCa) progression, thereby regulating PCa growth and invasion. Herein, a meta-analysis of multiple PCa cohorts is performed which revealed that downregulation or genomic loss of ITGA1 and ITGA2 integrin genes is associated with tumor progression and worse prognosis. Genomic deletion of both ITGA1 and ITGA2 activated epithelial-to-mesenchymal transition (EMT) in benign prostate epithelial cells, thereby enhancing their invasive potential in vitro and converting them into tumorigenic cells in vivo. Mechanistically, EMT is induced by enhanced secretion and autocrine activation of TGFß1 and nuclear targeting of YAP1. An unbiased genome-wide co-expression analysis of large PCa cohort datasets identified the transcription factor TEAD1 as a key regulator of ITGA1 and ITGA2 expression in PCa cells while TEAD1 loss phenocopied the dual loss of α1- and α2-integrins in vitro and in vivo. Remarkably, clinical data analysis revealed that TEAD1 downregulation or genomic loss is associated with aggressive PCa and together with low ITGA1 and ITGA2 expression synergistically impacted PCa prognosis and progression. This study thus demonstrated that loss of α1- and α2-integrins, either via deletion/inactivation of the ITGA1/ITGA2 locus or via loss of TEAD1, contributes to PCa progression by inducing TGFß1-driven EMT.

An effective strategy for identifying autogenous regulation of transcription factors in filamentous fungi.

IMPORTANCE: Transcription factors (TFs) play a crucial role in deciphering biological information from the DNA of living organisms. Improper regulation of their functions can disrupt cellular physiology and lead to diseases in humans. As one of the key regulatory mechanisms, some TFs control their own expression levels through autogenous regulation. However, identifying autogenous regulation events of TFs has been a tedious task. In this study, we present a straightforward approach that provides a reliable means to identify TF autogenous regulation events. Our method provides a valuable means for understanding the function of this important class of proteins in cells.

Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning.

Antimicrobial peptides (AMPs) are a valuable source of antimicrobial agents and a potential solution to the multi-drug resistance problem. In particular, short-length AMPs have been shown to have enhanced antimicrobial activities, higher stability, and lower toxicity to human cells. We present a short-length (≤30 aa) AMP prediction method, Deep-AmPEP30, developed based on an optimal feature set of PseKRAAC reduced amino acids composition and convolutional neural network. On a balanced benchmark dataset of 188 samples, Deep-AmPEP30 yields an improved performance of 77% in accuracy, 85% in the area under the receiver operating characteristic curve (AUC-ROC), and 85% in area under the precision-recall curve (AUC-PR) over existing machine learning-based methods. To demonstrate its power, we screened the genome sequence of Candida glabrata-a gut commensal fungus expected to interact with and/or inhibit other microbes in the gut-for potential AMPs and identified a peptide of 20 aa (P3, FWELWKFLKSLWSIFPRRRP) with strong anti-bacteria activity against Bacillus subtilis and Vibrio parahaemolyticus. The potency of the peptide is remarkably comparable to that of ampicillin. Therefore, Deep-AmPEP30 is a promising prediction tool to identify short-length AMPs from genomic sequences for drug discovery. Our method is available at https://cbbio.cis.um.edu.mo/AxPEP for both individual sequence prediction and genome screening for AMPs.

The Candida albicans transcription factor Cas5 couples stress responses, drug resistance and cell cycle regulation.

The capacity to coordinate environmental sensing with initiation of cellular responses underpins microbial survival and is crucial for virulence and stress responses in microbial pathogens. Here we define circuitry that enables the fungal pathogen Candida albicans to couple cell cycle dynamics with responses to cell wall stress induced by echinocandins, a front-line class of antifungal drugs. We discover that the C. albicans transcription factor Cas5 is crucial for proper cell cycle dynamics and responses to echinocandins, which inhibit ß-1,3-glucan synthesis. Cas5 has distinct transcriptional targets under basal and stress conditions, is activated by the phosphatase Glc7, and can regulate the expression of target genes in concert with the transcriptional regulators Swi4 and Swi6. Thus, we illuminate a mechanism of transcriptional control that couples cell wall integrity with cell cycle regulation, and uncover circuitry governing antifungal drug resistance.Cas5 is a transcriptional regulator of responses to cell wall stress in the fungal pathogen Candida albicans. Here, Xie et al. show that Cas5 also modulates cell cycle dynamics and responses to antifungal drugs.