Circular RNAs (circRNAs), a novel class of ubiquitous and intriguing noncoding RNA, have been found in a number of eukaryotes but not yet basidiomycetes. In this study, we identified 73 circRNAs from 39.28 million filtered RNA reads from the basidiomycete Cryptococcus neoformans JEC21 using next-generation sequencing (NGS) and the bioinformatics tool circular RNA identification (CIRI). Furthermore, mapping of newly found circRNAs to the genome showed that 73.97% of the circRNAs originated from exonic regions, whereas 20.55% were from intergenic regions and 5.48% were from intronic regions. Enrichment analysis of circRNA host genes was conducted based on the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway databases. The results reveal that host genes are mainly responsible for primary metabolism and, interestingly, ribosomal protein production. Furthermore, we uncovered a high-level circRNA that was a transcript from the guanosine triphosphate (GTP)ase gene CNM01190 (gene ID: 3255052) in our yeast. Coincidentally, YPT5, CNM01190′s ortholog of the GTPase in Schizosaccharomyces pombe, protists, and humans, has already been proven to generate circRNAs. Additionally, overexpression of RNA debranching enzyme DBR1 had varied influence on the expression of circRNAs, indicating that multiple circRNA biosynthesis pathways exist in C. neoformans. Our study provides evidence for the existence of stable circRNAs in the opportunistic human pathogen C. neoformans and raises a question regarding their role related to pathogenesis in this yeast.

Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.

Three new xanthones, paucinervins H–J (1–3), as well as eleven known compounds (4–14), were isolated from the leaves of Garcinia paucinervis. The structures of the new compounds (1–3) were elucidated by 1D, 2D NMR spectra and HR ESIMS. In vitro antiproliferative activity against human promyelocytic leukemia HL-60 cells was tested, among which, compounds 2, 5, 6 and 7 exhibited strong growth inhibitory effects with GI₅₀ values ranging from 1.30 to 9.08 μM, respectively. Preliminary SARs were also discussed.

The yeast SKI (superkiller) complex was originally identified from cells that were infected by the M ‘killer’ virus. Ski2, as the core of the SKI complex, is a cytoplasmic cofactor and regulator of RNA-degrading exosome. The putative RNA helicase Ski2 was highly conserved from yeast to animals and has been demonstrated to play a key role in the regulation of RNA surveillance, temperature sensitivity, and growth in several yeasts but not yet in Cryptococcus neoformans (C. neoformans). Here, we report the identification of a gene encoding an equivalent Ski2 protein, named SKI2, in the fungal pathogen C. neoformans. To obtain insights into the function of Ski2, we created a mutant strain, ski2Δ, with the CRISPR–Cas9 editing tool. Disruption of SKI2 impaired cell wall integrity. Further investigations revealed the defects of the ski2Δ mutant in resistance to osmotic stresses and extreme growth temperatures. However, significantly, the ability to undergo invasive growth under nutrient-depleted conditions was increased in the ski2Δ mutant. More importantly, our results showed that the ski2Δ mutant exhibited slightly lower virulence and severe susceptibility to anti-ribosomal drugs by comparison to the wild type, but it developed multidrug resistance to azoles and flucytosine. By constructing the double deletion strain ski2Δafr1Δ, we verified that increased Afr1 in ski2Δ contributed to the azole resistance, which might be influenced by nonclassical small interfering RNA. Our work suggests that Ski2 plays critical roles in drug resistance and regulation of gene transcription in the yeast pathogen C. neoformans.

Epigenetic marks or post-translational modifications on histones have important regulatory roles in gene expression in eukaryotic organisms. The epigenetic regulation of gene expression in the pathogenic yeast Cryptococcus deneoformans remains largely undetermined. The YEATS domain proteins are readers of crotonylated lysine residues in histones. Here, we reported the identification of a single-copy gene putatively coding for a YEATS domain protein (Yst1) in C. deneoformans. To define its function, we created a mutant strain, yst1Δ, using CRISPR-Cas9 editing. yst1Δ exhibited defects in phenotype, for instance, it was hypersensitive to osmotic stress in the presence of 1.3 M NaCl or KCl. Furthermore, it was hypersensitive to 1% Congo red, suggesting defects in the cell wall. Interestingly, RNA-seq data revealed that Yst1p was critical for the expression of genes encoding the ribosomal proteins, that is, most were expressed with significantly lower levels of mRNA in yst1Δ than in the wild-type strain. The mutant strain was hypersensitive to low temperature and anti-ribosomal drugs, which we putatively attribute to the impairment in ribosomal function. In addition, the yst1Δ strain was less virulent to Galleria mellonella. These results generally suggest that Yst1, as a histone modification reader, might be a key coordinator of the transcriptome of this human pathogen. Yst1 could be a potential target for novel antifungal drugs, which might lead to significant developments in the clinical treatment of cryptococcosis.

Cryptococcus neoformans and Cryptococcus deneoformans are opportunistic fungal pathogens found worldwide that are utilized to reveal mechanisms of fungal pathogenesis. However, their low homologous recombination frequency has greatly encumbered genetic studies. In preliminary work, we described a ‘suicide’ CRISPR-Cas9 system for use in the efficient gene editing of C. deneoformans, but this has not yet been used in the C. neoformans strain. The procedures involved in constructing vectors are time-consuming, whether they involve restriction enzyme-based cloning of donor DNA or the introduction of a target sequence into the gRNA expression cassette via overlap PCR, as are sophisticated, thus impeding their widespread application. Here, we report the optimized and simplified construction method for all-in-one CRISPR-Cas9 vectors that can be used in C. neoformans and C. deneoformans strains respectively, named pNK003 (Genbank: MW938321) and pRH003 (Genbank: KX977486). Taking several gene manipulations as examples, we also demonstrate the accuracy and efficiency of the new simplified all-in-one CRISPR-Cas9 genome editing tools in both Serotype A and Serotype D strains, as well as their ability to eliminate Cas9 and gDNA cassettes after gene editing. We anticipate that the availability of new vectors that can simplify and streamline the technical steps for all-in-one CRISPR-Cas9 construction could accelerate genetic studies of the Cryptococcus species.