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Highlights d Conspecific cooperation and cell fusion are crucial for microbial development d Allorecognition upon contact blocks cell fusion of genetically non-identical cells d Incompatible partners cannot switch from communication to cell wall dissolution mode d The independent appearance of polymorphic cwr alleles suggests convergent evolution

Cell death occurs in all domains of life. While some cells die in an uncontrolled way due to exposure to external cues, other cells die in a regulated manner as part of a genetically encoded developmental program. Like other eukaryotic species, fungi undergo programmed cell death (PCD) in response to various triggers. For example, exposure to external stress conditions can activate PCD pathways in fungi. Calcium redistribution between the extracellular space, the cytoplasm and intracellular storage organelles appears to be pivotal for this kind of cell death. PCD is also part of the fungal life cycle, in which it occurs during sexual and asexual reproduction, aging, and as part of development associated with infection in phytopathogenic fungi. Additionally, a fungal non-self-recognition mechanism termed heterokaryon incompatibility (HI) also involves PCD. Some of the molecular players mediating PCD during HI show remarkable similarities to major constituents involved in innate immunity in metazoans and plants. In this review we discuss recent research on fungal PCD mechanisms in comparison to more characterized mechanisms in metazoans. We highlight the role of PCD in fungi in response to exogenic compounds, fungal development and non-self-recognition processes and discuss identified intracellular signaling pathways and molecules that regulate fungal PCD.

We show that the SARS-CoV-2 B.1.1.7 lineage is highly disseminated in Portugal, with the odds of B.1.1.7 proportion increasing at an estimated 89% (95% confidence interval: 83–95%) per week until week 3 2021. RT-PCR spike gene target late detection (SGTL) can constitute a useful surrogate to track B.1.1.7 spread, besides the spike gene target failure (SGTF) proxy. SGTL/SGTF samples were associated with statistically significant higher viral loads, but not with substantial shift in age distribution compared to non-SGTF/SGTL cases.

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Nematode-trapping fungi (NTF) are a group of specialized microbial predators that consume nematodes when food sources are limited. Predation is initiated when conserved nematode ascaroside pheromones are sensed, followed by the development of complex trapping devices. To gain insights into the coevolution of this interkingdom predator–prey relationship, we investigated natural populations of nematodes and NTF that we found to be ubiquitous in soils.Arthrobotrysspecies were sympatric with various nematode species and behaved as generalist predators. The ability to sense prey among wild isolates ofArthrobotrys oligosporavaried greatly, as determined by the number of traps after exposure toCaenorhabditis elegans. While some strains were highly sensitive toC. elegansand the nematode pheromone ascarosides, others responded only weakly. Furthermore, strains that were highly sensitive to the nematode prey also developed traps faster. The polymorphic nature of trap formation correlated with competency in prey killing, as well as with the phylogeny ofA. oligosporanatural strains, calculated after assembly and annotation of the genomes of 20 isolates. A chromosome-level genome assembly and annotation were established for one of the most sensitive wild isolates, and deletion of the only G-protein β-subunit–encoding gene ofA. oligosporanearly abolished trap formation. In summary, our study establishes a highly responsiveA. oligosporawild isolate as a model strain for the study of fungus–nematode interactions and demonstrates that trap formation is a fitness character in generalist predators of the nematode-trapping fungus family.

Kinetoplast DNA (kDNA) was isolated from 56 stocks of Trypanosoma cruzi isolated from human patients, animals and insects from Brazil, Venezuela, Colombia and Costa Rica. Comparison of the patterns of digested kDNA on acrylamide gels led to the grouping of several stocks into two schizodemes. Schizodeme analysis was also performed using a set of 330-bp fragments representing all the variable regions of the minicircle DNA molecules, which were obtained by PCR amplification of the kDNA using conserved region primers. The results of this analysis were consistent with the analysis using total kDNA, but the more informative restriction profiles allowed the construction of additional schizodemes. In addition, two oligomers were generated from variable region sequences of cloned minicircles from a Y and a Cl strain, and these were used as schizodeme-specific probes to detect homologous sequences in the amplified minicircle DNAs. The results indicate that a combination of restriction enzyme fingerprinting and hybridization of amplified variable region minicircle DNA with schizodeme-specific probes can be used for both sensitive detection and classification of T. cruzi.

An analysis of the time-dependent genetic response to the death-inducer staurosporine was performed in Neurospora crassa by transcriptional profiling. Staurosporine induced two major genes encoding an ABC transporter and a protein with similarity to regulatory subunits of potassium channels. The transcriptional response is dependent on the activity of a novel transcription factor. Deletion mutants in differentially expressed genes displayed altered sensitivity to staurosporine, underscoring significant proteins involved in the response to the drug. A null-mutant of the ABC transporter (abc3) is extremely sensitive to staurosporine, accumulates more staurosporine than the wild type strain and is defective in energy-dependent export of the drug, indicating that the ABC3 protein is the first described staurosporine transporter. It was located in the plasma membrane by immunofluorescence microscopy. The combination of inhibitors of ABC transporters or of potassium channels with staurosporine leads to an enhanced activity against N. crassa and pathogenic fungi paving the way to the development of more potent and specific antifungals. Our results highlight the general use of transcriptional profiling for the identification of novel proteins involved in cell death and their potential use as drug targets.