Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis

A systematic study of regulating inorganic polyphosphates production in Saccharomyces cerevisiae

Inorganic polyphosphate (polyP), a linear polymer of orthophosphate residues, plays critical roles in diverse biological processes spanning blood coagulation, immunomodulation, and post-translational protein modifications in eukaryotes. Notably, long-chain polyP (>100 phosphate units) exhibits distinct biological functionalities compared to shorter-chain counterparts. While Saccharomyces cerevisiae serves as a promising microbial platform for polyP biosynthesis, the genetic regulatory mechanisms underlying polyP metabolism remain poorly elucidated. Here, we systematically investigated the genetic determinants governing intracellular polyP levels and chain length dynamics in yeast. Through screening a library of 55 single-gene knockout strains, we identified six mutants (Δddp1, Δvip1, Δppn1, Δppn2, Δecm33, and Δccr4) exhibiting elevated polyP accumulation, whereas deletions of vtc1, kcs1, vma22, vma5, pho85, vtc4, vma2, vma3, ecm14, and vph2 resulted in near-complete polyP depletion. Subsequent combinatorial deletions in the Δppn1 background revealed that the Δppn1Δvip1 double mutant achieved synergistic enhancement in both polyP concentration (53.01 mg-P/g-DCW) and chain length, attributable to increased ATP availability and reduced polyphosphatase activity. Leveraging CRISPR/Cas9-mediated overexpression in Δppn1Δvip1, we engineered strain PP2 (vtc4 overexpression), which demonstrated a 2-fold increase in polyP yield (62.6 mg-P/g-DCW) relative to wild-type BY4741, with predominant synthesis of long-chain species. Mechanistically, qRT-PCR analysis confirmed that PP2 exhibited 46-fold up-regulation of vtc4 coupled with down-regulation of polyphosphatases encoding genes, ppn2, ddp1, and ppx1. This study performed a systematic study of regulating inorganic polyphosphates production in yeast and provides a synthetic biology strategy to engineer high-yield polyP-producing strains, advancing both fundamental understanding and biotechnological applications.

Endocytic tethers modulate unconventional GAPDH secretion

Yeast cell walls contain both classically-secreted and unconventionally-secreted proteins. The latter class lacks the signal sequence for translocation into the ER, therefore these proteins are transported to the wall by uncharacterized mechanisms. One such protein is the glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase (GAPDH) which is abundant in the cytosol, but also found in the yeast cell wall where it is enzymatically active. We screened diploid Saccharomyces cerevisiae homozygous gene deletions for changes in cell wall GAPDH activity. Deletions targeting endocytic tethers in the endolysosomal system had the largest effects on GAPDH secretion, including vps21, bro1, vps41, and pep12. The predominant GAPDH isoform Tdh3 was partially localized to endolysosomal compartments, including multivesicular bodies, which are common entry points to unconventional protein secretion pathways. Yeast lacking the endosomal Rab5-GTPase Vps21 had defects in GAPDH secretion as well as delayed entry into to the endolysosomal compartments. Therefore, we conclude that entry into the endolysosomal compartment facilitates non-conventional secretion of GAPDH.

RNase H1 and Sen1 ensure that transient TERRA R-loops promote the repair of short telomeres

Telomere repeat-containing RNA (TERRA) is transcribed at telomeres and forms RNA-DNA hybrids. In budding yeast, the presence of RNA-DNA hybrids at short telomeres promotes homology-directed repair (HDR) and prevents accelerated replicative senescence. RNA-DNA hybrids at telomeres have also been demonstrated to prevent 5'end resection, an essential step for HDR. In accordance, we now demonstrate that, not only the presence, but also the removal, of RNA-DNA hybrids drives HDR at shortened telomeres during replicative senescence. Although RNase H2 is absent from short telomeres, it is quickly compensated for by the recruitment of RNase H1 and Sen1. The recruitment of RNase H1 is essential to allow for the loading of Rad51, consistent with the notion that RNA-DNA hybrids prevent Exo1-mediated end resection. In the absence of RNase H1 or Sen1 function, yeast cultures prematurely enter replicative senescence in the absence of telomerase. Furthermore, the delayed senescence phenotype observed when RNase H2 is deleted, depends on the presence of RNase H1 and Sen1. This study demonstrates the importance of transient RNA-DNA hybrids at short telomeres to regulate senescence.

An adenine model of inborn metabolism errors alters TDP-43 aggregation and reduces its toxicity in yeast revealing insights into protein misfolding diseases

TDP-43 is linked to human diseases such as amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). Expression of TDP-43 in yeast is known to be toxic, cause cells to elongate, form liquid-like aggregates, and inhibit autophagy and TOROID formation. Here, we used the apt1∆ aah1∆ yeast model of inborn errors of metabolism, previously shown to lead to intracellular adenine accumulation and adenine amyloid-like fiber formation, to explore interactions with TDP-43. Results show that the double deletion shifts the TDP-43 aggregates from liquid-like droplets toward a more amyloid-like state. At the same time the deletions reduce TDP-43's effects on toxicity, cell morphology, autophagy, and TOROID formation without affecting the level of TDP-43. This suggests that the liquid-like droplets rather than amyloid-like TDP-43 aggregates are responsible for the deleterious effects in yeast. How the apt1∆ aah1∆ deletions alter TDP-43 aggregate formation is not clear. Possibly, it results from adenine and TDP-43 fiber interactions as seen for other heterologous fibers. This work offers new insights into the potential interactions between metabolite-based amyloids and pathological protein aggregates, with broad implications for understanding protein misfolding diseases.

The design and engineering of synthetic genomes

Synthetic genomics seeks to design and construct entire genomes to mechanistically dissect fundamental questions of genome function and to engineer organisms for diverse applications, including bioproduction of high-value chemicals and biologics, advanced cell therapies, and stress-tolerant crops. Recent progress has been fuelled by advancements in DNA synthesis, assembly, delivery and editing. Computational innovations, such as the use of artificial intelligence to provide prediction of function, also provide increasing capabilities to guide synthetic genome design and construction. However, translating synthetic genome-scale projects from idea to implementation remains highly complex. Here, we aim to streamline this implementation process by comprehensively reviewing the strategies for design, construction, delivery, debugging and tailoring of synthetic genomes as well as their potential applications.

Vulnerable Nucleotide Pools and Genomic Instability in Yeast Strains with Deletion of the ADE12 Gene Encoding for Adenylosuccinate Synthetase

Adenylosuccinate synthetase (AdSS), encoded by the ADE12 gene in yeast Saccharomyces cerevisiae, plays a critical role in purine biosynthesis, catalyzing the conversion of inosine 5'-monophosphate (IMP) and aspartic acid to adenylosuccinate, a substrate for the following adenosine 5'-monophosphate (AMP) synthesis step. Mutants lacking AdSS activity exhibit a range of pleiotropic phenotypes: slow growth, poor spore germination, accumulation, and secretion of inosine and hypoxanthine. We report new phenotypes of ade12 mutants and explain their molecular mechanisms. A GC-MS analysis showed that ade12 mutants have highly altered metabolite profiles: the accumulation of IMP leads to an impaired cellular energy metabolism, resulting in a dysregulation of key processes-the metabolism of nucleotides, carbohydrates, and amino acids. These metabolic perturbations explain the cell division arrest observed in ade12 yeast strains. A slowed replication in ade12 mutants, because of the insufficient availability of energy, nucleotides, and proteins, leads to the error-prone DNA polymerase ζ-dependent elevation of spontaneous mutagenesis, connecting multiple roles of AdSS in metabolism with genome stability control.

Cytoduction Preserves Genetic Diversity Following Plasmid Transfer Into Pooled Yeast Libraries

Introducing plasmids into yeast is a critical step for many phenotypic assays and genetic engineering applications. However, it is often challenging for applications that involve large pools of variants because the population structure can be easily altered by traditional methods such as chemical transformation. In this study, we introduce drug-marked plasmids into a heterogeneous yeast population using both transformation and cytoduction (mating without nuclear fusion). Using a highly diverse barcoded yeast collection, we quantify the efficiency of both methods. We demonstrate that for cytoduction, but not transformation, nearly all the genotypes in the initial pool were detected in the final pool, with a high correlation to their initial frequencies. Finally, we map QTL that impact both cytoduction and transformation. Overall, we demonstrate the efficiency of cytoduction as a means of introducing plasmids into yeast. This is significant because it provides a means of manipulating diverse yeast populations, such as pools constructed for bulk segregant analysis, deep mutational scanning, large-scale gene editing, or populations from long-term evolution experiments.

The ROGDI protein mutated in Kohlschutter-Tonz syndrome is a novel subunit of the Rabconnectin-3 complex implicated in V-ATPase assembly

V-ATPases are highly conserved ATP-driven rotary proton pumps found widely among eukaryotes that are composed of two subcomplexes: V1 and V0. V-ATPase activity is regulated in part through reversible disassembly, during which V1 physically separates from V0 and both subcomplexes become inactive. Reassociation of V1 to V0 reactivates the complex for ATP-driven proton pumping and organelle acidification. V-ATPase reassembly in Saccharomyces cerevisiae requires the RAVE complex (Rav1, Rav2, and Skp1), and higher eukaryotes, including humans, utilize the Rabconnectin-3 complex. Mammalian Rabconnectin-3 has two subunits: Rabconnectin-3α and Rabconnectin-3β. Rabconnectin-3α isoforms are homologous to Rav1, but there is no known Rav2 homolog, and the molecular basis of the interaction between the Rabconnectin-3α and β subunits is unknown. We identified ROGDI as a Rav2 homolog and novel Rabconnectin-3 subunit. ROGDI mutations cause Kohlschutter-Tonz syndrome, an epileptic encephalopathy with amelogenesis imperfecta that has parallels to V-ATPase-related disease. ROGDI shares extensive structural homology with yeast Rav2 and can functionally replace Rav2 in yeast. ROGDI binds to the N-terminal domains of both Rabconnectin-3 α and β, similar to Rav2 binding to Rav1. Molecular modeling suggests that ROGDI may bridge the two Rabconnectin-3 subunits. ROGDI coimmunoprecipitates with Rabconnectin-3 subunits from detergent-solubilized lysates and is present with them in immunopurified lysosomes of mammalian cells. In immunofluorescence microscopy, ROGDI partially localizes with Rabconnectin-3α in acidic perinuclear lysosomes. The discovery of ROGDI as a novel Rabconnectin-3 interactor sheds new light on both Kohlschutter-Tonz syndrome and the mechanisms behind mammalian V-ATPase regulation.

Limitations and optimizations of cellular lineages tracking

Tracking cellular lineages using genetic barcodes provides insights across biology and has become an important tool. However, barcoding strategies remain ad hoc. We show that elevating barcode insertion probability and thus increasing the average number of barcodes within the cells, adds to the number of traceable lineages but may decrease the accuracy of lineages inference due to reading errors. We establish the trade-off between accuracy in tracing lineages and the total number of traceable lineages, and find optimal experimental parameters under limited resources concerning the populations size of tracked cells and barcode pool complexity.

PpBOR1 is critical for the excess borate tolerance of Physcomitrium patens

KEY MESSAGE

Functional analysis of BORs in Physcomitrium patens indicates that both PpBOR1 and PpBOR2 possess boron efflux transporter activity, and PpBOR1 is essential for the plant's tolerance to excessive boron stress. Boron (B), an essential plant micronutrient, is crucial for achieving optimal agricultural yield. Although the function of the BOR family proteins as borate efflux transporters has been established in tracheophytes, the role of their counterparts in non-vascular plants has not been thoroughly investigated. Our phylogenetic analysis reveals that bryophyte BOR proteins originated from the basal bryophytes Takakia and Sphagnum, and can be classified into two subclasses. There are two BOR homologs in P. patens: PpBOR1 and PpBOR2, which belong to different subclades. The PpBOR1 and PpBOR2 genes are predominantly expressed in gametophores, with PpBOR1 exhibiting significantly higher expression levels than PpBOR2. Both proteins localize at the plasma membrane and can export borate from yeast cells. Disruption of PpBOR2 expression does not affect plant growth under normal conditions. However, PpBOR1-knockout gametophores exhibit stunted growth under excess boron conditions, whereas PpBOR1-overexpressing plants show enhanced tolerance compared to wild-type plants. In summary, our research suggests that BOR homologous proteins in P. patens have borate efflux activities similar to those of the BOR family members in angiosperms. PpBOR1 is critical in conferring tolerance to excessive boron stress in P. patens.

A single-cell resolved genotype-phenotype map using genome-wide genetic and environmental perturbations

Heterogeneity is inherent to living organisms and it determines cell fate and phenotypic variability. Despite its ubiquity, the underlying molecular mechanisms and the genetic basis linking genotype to-phenotype heterogeneity remain a central challenge. Here we construct a yeast knockout library with a clone and genotype RNA barcoding structure suitable for genome-scale analyses to generate a high-resolution single-cell yeast transcriptome atlas of 3500 mutants under control and stress conditions. We find that transcriptional heterogeneity reflects the coordinated expression of specific gene programs, generating a continuous of cell states that can be responsive to external insults. Cell state plasticity can be genetically modulated with mutants that act as state attractors and disruption of state homeostasis results in decreased adaptive fitness. Leveraging on intra-genetic variability, we establish that regulators of transcriptional heterogeneity are functionally diverse and influenced by the environment. Our multimodal perturbation-based single-cell Genotype-to-Transcriptome Atlas in yeast provides insights into organism-level responses.

Automated plasmid design for marker-free genome editing in budding yeast

Scarless genome editing in budding yeast with elimination of the selection marker has many advantages. Some markers such as URA3 and TRP1 can be recycled through counterselection. This permits seamless genome modification with pop-in/pop-out, in which a DNA construct first integrates in the genome and, subsequently, homologous regions recombine and excise undesired sequences. Popular approaches for creating such constructs use oligonucleotides and PCR. However, the use of oligonucleotides has many practical disadvantages. With the rapid reduction in price, synthesizing custom DNA sequences in specific plasmid backbones has become an appealing alternative. For designing plasmids for seamless pop-in/pop-out gene tagging or deletion, there are a number of factors to consider. To create only the shortest DNA sequences necessary, avoid errors in manual design, specify the amount of homology desired, and customize restriction sites, we created the computational tool PIPOline. Using it, we tested the ratios of homology that improve pop-out efficiency when targeting the genes HTB2 or WHI5. We supply optimal pop-in/pop-out plasmid sequences for tagging or deleting almost all S288C budding yeast open reading frames. Finally, we demonstrate how the histone variant Htb2 marked with a red fluorescent protein can be used as a cell-cycle stage marker, alternative to superfolder GFP, reducing light toxicity. We expect PIPOline to streamline genome editing in budding yeast.

Transcriptional heterogeneity shapes stress-adaptive responses in yeast

In response to stress, cells activate signaling pathways that coordinate broad changes in gene expression to enhance cell survival. Remarkably, complex variations in gene expression occur even in isogenic populations and in response to similar signaling inputs. However, the molecular mechanisms underlying this variability and their influence on adaptive cell fate decisions are not fully understood. Here, we use scRNA-seq to longitudinally assess transcriptional dynamics during osmoadaptation in yeast. Our findings reveal highly heterogeneous expression of the osmoresponsive program, which organizes into combinatorial patterns that generate distinct cellular programs. The induction of these programs is favored by global transcriptome repression upon stress. Cells displaying basal expression of the osmoresponsive program are hyper-responsive and resistant to stress. Through a transcription-focused analysis of more than 300 RNA-barcoded deletion mutants, we identify genetic factors that shape the heterogeneity of the osmostress-induced transcriptome, define regulators of stress-related subpopulations and find a link between transcriptional heterogeneity and increased cell fitness. Our findings provide a regulatory map of the complex transcriptional phenotypes underlying osmoadaptation in yeast and highlight the importance of transcriptional heterogeneity in generating distinct adaptive strategies.

Phosphorylation of an RNA-Binding Protein Rck/Me31b by Hippo Is Essential for Adipose Tissue Aging

The metazoan lifespan is determined in part by a complex signaling network that regulates energy metabolism and stress responses. Key signaling hubs in this network include insulin/IGF-1, AMPK, mTOR, and sirtuins. The Hippo/Mammalian Ste20-like Kinase1 (MST1) pathway has been reported to maintain lifespan in Caenorhabditis elegans, but its role has not been studied in higher metazoans. In this study, we report that overexpression of Hpo, the MST1 homolog in Drosophila melanogaster, decreased lifespan with concomitant changes in lipid metabolism and aging-associated gene expression, while RNAi Hpo depletion increased lifespan. These effects were mediated primarily by Hpo-induced transcriptional activation of the RNA-binding protein maternal expression at 31B (Me31b)/RCK, resulting in stabilization of mRNA-encoding a lipolytic hormone, Akh. In mouse adipocytes, Hpo/Mst1 mediated adipocyte differentiation, phosphorylation of RNA-binding proteins such as Rck, decapping MRNA 2 (Dcp2), enhancer Of MRNA decapping 3 (Edc3), nucleolin (NCL), and glucagon mRNA stability by interacting with Rck. Decreased lifespan in Hpo-overexpressing Drosophila lines required expression of Me31b, but not DCP2, which was potentially mediated by recovering expression of lipid metabolic genes and formation of lipid droplets. Taken together, our findings suggest that Hpo/Mst1 plays a conserved role in longevity by regulating adipogenesis and fatty acid metabolism.

The interactome of the Bakers' yeast peroxiredoxin Tsa1 implicates it in the redox regulation of intermediary metabolism, glycolysis and zinc homeostasis

Zinc (Zn) is an essential nutrient supporting a range of critical processes. In the yeast Saccharomyces cerevisiae, Zn deficiency induces a transcriptional response mediated by the Zap1 activator, which controls a regulon of ~80 genes. A subset support zinc homeostasis by promoting zinc uptake and its distribution between compartments, while the remainder mediate an "adaptive response" to enhance fitness of zinc deficient cells. The peroxiredoxin Tsa1 is a Zap1-regulated adaptive factor essential for the growth of Zn deficient cells. Tsa1 can function as an antioxidant peroxidase, protein chaperone, or redox sensor: the latter activity oxidizes associated proteins via a redox relay mechanism. We previously reported that in Zn deficient cells, Tsa1 inhibits pyruvate kinase (Pyk1) to conserve phosphoenolpyruvate for aromatic amino acid synthesis. However, this regulation makes a relatively minor contribution to fitness in low zinc, suggesting that Tsa1 targets other pathways important to adaptation. Consistent with this model, the redox sensor function of Tsa1 was essential for growth of ZnD cells. Using an MBP-tagged version of Tsa1, we identified a redox-sensitive non-covalent interaction with Pyk1, and applied this system to identify multiple novel interacting partners. This interactome implicates Tsa1 in the regulation of critical processes including many Zn-dependent metabolic pathways. Interestingly, Zap1 was a preferred Tsa1 target, as Tsa1 strongly promoted the oxidation of Zap1 activation domain 2, and was essential for full Zap1 activity. Our findings reveal a novel posttranslational response to Zn deficiency, overlain on and interconnected with the Zap1-mediated transcriptional response.

A method for authenticating the fidelity of Cryptococcus neoformans knockout collections

Gene knockout strain collections are important tools for discovery in microbiology. Cryptococcus neoformans is the only human pathogenic fungus with an available genome-wide deletion collection, and this resource is widely used by the research community. We uncovered mix-ups in the assembly of the commercially available C. neoformans deletion collection of ~6,000 unique strains acquired by our lab. While pursuing the characterization of a gene-of-interest, the corresponding deletion strain from the C. neoformans KO collection displayed several interesting phenotypes associated with virulence. However, RNAseq analysis identified transcripts for the putative knockout gene, and the absence of transcripts for a different knockout strain found in the same plate position in an earlier partial knockout collection, raising the possibility that plates from one collection were substituted for the other. This was supported by determining the size of the nourseothricin (NAT)-resistance cassette used to generate the two separate knockout libraries and was confirmed by RNAseq and genome sequencing. Here we report that our KN99 collection is comprised of mixed plates from two independent KO libraries and present a simple authentication method that other investigators can use to distinguish the identities of these KO collections.

A proteome-wide yeast degron collection for the dynamic study of protein function

Genome-wide collections of yeast strains, known as libraries, revolutionized the way systematic studies are carried out. Specifically, libraries that involve a cellular perturbation, such as the deletion collection, have facilitated key biological discoveries. However, short-term rewiring and long-term accumulation of suppressor mutations often obscure the functional consequences of such perturbations. We present the AID library which supplies "on demand" protein depletion to overcome these limitations. Here, each protein is tagged with a green fluorescent protein (GFP) and an auxin-inducible degron (AID), enabling rapid protein depletion that can be quantified systematically using the GFP element. We characterized the degradation response of all strains and demonstrated its utility by revisiting seminal yeast screens for genes involved in cell cycle progression as well as mitochondrial distribution and morphology. In addition to recapitulating known phenotypes, we also uncovered proteins with previously unrecognized roles in these central processes. Hence, our tool expands our knowledge of cellular biology and physiology by enabling access to phenotypes that are central to cellular physiology and therefore rapidly equilibrated.

Genome-wide conditional degron libraries for functional genomics

Functional genomics with libraries of knockout alleles is limited to non-essential genes and convoluted by the potential accumulation of suppressor mutations in knockout backgrounds, which can lead to erroneous functional annotations. To address these limitations, we constructed genome-wide libraries of conditional alleles based on the auxin-inducible degron (AID) system for inducible degradation of AID-tagged proteins in the budding yeast Saccharomyces cerevisiae. First, we determined that N-terminal tagging is at least twice as likely to inadvertently impair protein function across the proteome. We thus constructed two libraries with over 5,600 essential and non-essential proteins fused at the C-terminus with an AID tag and an optional fluorescent protein. Approximately 90% of AID-tagged proteins were degraded in the presence of the auxin analog 5-Ph-IAA, with initial protein abundance and tag accessibility as limiting factors. Genome-wide screens for DNA damage response factors revealed a role for the glucose signaling factor GSF2 in resistance to hydroxyurea, highlighting how the AID libraries extend the yeast genetics toolbox.

Advances in CRISPR-enabled genome-wide screens in yeast

Clustered regularly interspaced short palindromic repeats (CRISPR)-Cas genome-wide screens are powerful tools for unraveling genotype-phenotype relationships, enabling precise manipulation of genes to study and engineer industrially useful traits. Traditional genetic methods, such as random mutagenesis or RNA interference, often lack the specificity and scalability required for large-scale functional genomic screens. CRISPR systems overcome these limitations by offering precision gene targeting and manipulation, allowing for high-throughput investigations into gene function and interactions. Recent work has shown that CRISPR genome editing is widely adaptable to several yeast species, many of which have natural traits suited for industrial biotechnology. In this review, we discuss recent advances in yeast functional genomics, emphasizing advancements made with CRISPR tools. We discuss how the development and optimization of CRISPR genome-wide screens have enabled a host-first approach to metabolic engineering, which takes advantage of the natural traits of nonconventional yeast-fast growth rates, high stress tolerance, and novel metabolism-to create new production hosts. Lastly, we discuss future directions, including automation and biosensor-driven screens, to enhance high-throughput CRISPR-enabled yeast engineering.

The Legionella pneumophila effector PieF modulates mRNA stability through association with eukaryotic CCR4-NOT

The eukaryotic CCR4-NOT deadenylase complex is a highly conserved regulator of mRNA metabolism that influences the expression of the complete transcriptome, representing a prime target for a generalist bacterial pathogen. We show that a translocated bacterial effector protein, PieF (Lpg1972) of Legionella pneumophila, directly interacts with the CNOT7/8 nuclease module of CCR4-NOT, with a dissociation constant in the low nanomolar range. PieF is a robust in vitro inhibitor of the DEDD-type nuclease, CNOT7, acting in a stoichiometric, dose-dependent manner. Heterologous expression of PieF phenocopies knockout of the CNOT7 ortholog (POP2) in Saccharomyces cerevisiae, resulting in 6-azauracil sensitivity. In mammalian cells, expression of PieF leads to a variety of quantifiable phenotypes: PieF silences gene expression and reduces mRNA steady-state levels when artificially tethered to a reporter transcript, and its overexpression results in the nuclear exclusion of CNOT7. PieF expression also disrupts the association between CNOT6/6L EEP-type nucleases and CNOT7. Adding to the complexities of PieF activity in vivo, we identified a separate domain of PieF responsible for binding to eukaryotic kinases. Unlike what we observe for CNOT6/6L, we show that these interactions can occur concomitantly with PieF's binding to CNOT7. Collectively, this work reveals a new, highly conserved target of L. pneumophila effectors and suggests a mechanism by which the pathogen may be modulating host mRNA stability and expression during infection.

IMPORTANCE

The intracellular bacterial pathogen Legionella pneumophila targets conserved eukaryotic pathways to establish a replicative niche inside host cells. With a host range that spans billions of years of evolution (from protists to humans), the interaction between L. pneumophila and its hosts frequently involves conserved eukaryotic pathways (protein translation, ubiquitination, membrane trafficking, autophagy, and the cytoskeleton). Here, we present the identification of a new, highly conserved host target of L. pneumophila effectors: the CCR4-NOT complex. CCR4-NOT modulates mRNA stability in eukaryotes from yeast to humans, making it an attractive target for a generalist pathogen, such as L. pneumophila. We show that the uncharacterized L. pneumophila effector PieF specifically targets one component of this complex, the deadenylase subunit CNOT7/8. We show that the interaction between PieF and CNOT7 is direct, occurs with high affinity, and reshapes the catalytic activity, localization, and composition of the complex across evolutionarily diverse eukaryotic cells.

Direct and Indirect Protein Interactions Link FUS Aggregation to Histone Post-Translational Modification Dysregulation and Growth Suppression in an ALS/FTD Yeast Model

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are incurable neurodegenerative disorders sharing pathological and genetic features, including mutations in the FUS gene. FUS is an RNA-binding protein that mislocalizes to the cytoplasm and aggregates in ALS/FTD. In a yeast model, FUS proteinopathy is connected to changes in the epigenome, including reductions in the levels of H3S10ph, H3K14ac, and H3K56ac. Exploiting the same model, we reveal novel connections between FUS aggregation and epigenetic dysregulation. We show that the histone-modifying enzymes Ipl1 and Rtt109-responsible for installing H3S10ph and H3K56ac-are excluded from the nucleus in the context of FUS proteinopathy. Furthermore, we found that Ipl1 colocalizes with FUS, but does not bind it directly. We identified Nop1 and Rrp5, a histone methyltransferase and rRNA biogenesis protein, respectively, as FUS binding partners involved in the growth suppression phenotype connected to FUS proteinopathy. We propose that the nuclear exclusion of Ipl1 through indirect interaction with FUS drives the dysregulation of H3S10ph as well as H3K14ac via crosstalk. We found that the knockdown of Nop1 interferes with these processes. In a parallel mechanism, Rtt109 mislocalization results in reduced levels of H3K56ac. Our results highlight the contribution of epigenetic mechanisms to ALS/FTD and identify novel targets for possible therapeutic intervention.

Transcription factors induce differential splicing of duplicated ribosomal protein genes during meiosis

In baker's yeast, genes encoding ribosomal proteins often exist as duplicate pairs, typically with one 'major' paralog highly expressed and a 'minor' less expressed paralog that undergoes controlled expression through reduced splicing efficiency. In this study, we investigate the regulatory mechanisms controlling splicing of the minor paralog of the uS4 protein gene (RPS9A), demonstrating that its splicing is repressed during vegetative growth but upregulated during meiosis. This differential splicing of RPS9A is mediated by two transcription factors, Rim101 and Taf14. Deletion of either RIM101 or TAF14 not only induces the splicing and expression of RPS9A with little effect on the major paralog RPS9B, but also differentially alters the splicing of reporter constructs containing only the RPS9 introns. Both Rim101 and Taf14 co-immunoprecipitate with the chromatin and RNA of the RPS9 genes, indicating that these transcription factors may affect splicing co-transcriptionally. Deletion of the RPS9A intron, RIM101 or TAF14 dysregulates RPS9A expression, impairing the timely expression of RPS9 during meiosis. Complete deletion of RPS9A impairs the expression pattern of meiotic genes and inhibits sporulation in yeast. These findings suggest a regulatory strategy whereby transcription factors modulate the splicing of duplicated ribosomal protein genes to fine-tune their expression in different cellular states.

Mitochondrial-ER Contact Sites and Tethers Influence the Biosynthesis and Function of Coenzyme Q

Coenzyme Q (CoQ) is an essential redox-active lipid that plays a major role in the electron transport chain, driving mitochondrial ATP synthesis. In Saccharomyces cerevisiae (yeast), CoQ biosynthesis occurs exclusively in the mitochondrial matrix via a large protein-lipid complex, the CoQ synthome, comprised of CoQ itself, late-stage CoQ-intermediates, and the polypeptides Coq3-Coq9 and Coq11. Coq11 is suggested to act as a negative modulator of CoQ synthome assembly and CoQ synthesis, as its deletion enhances Coq polypeptide content, produces an enlarged CoQ synthome, and restores respiration in mutants lacking the CoQ chaperone polypeptide, Coq10. The CoQ synthome resides in specific niches within the inner mitochondrial membrane, termed CoQ domains, that are often located adjacent to the endoplasmic reticulum-mitochondria encounter structure (ERMES). Loss of ERMES destabilizes the CoQ synthome and renders CoQ biosynthesis less efficient. Here we show that deletion of COQ11 suppresses the respiratory deficient phenotype of select ERMES mutants, results in repair and reorganization of the CoQ synthome, and enhances mitochondrial CoQ domains. Given that ER-mitochondrial contact sites coordinate CoQ biosynthesis, we used a Split-MAM (Mitochondrial Associated Membrane) artificial tether consisting of an ER-mitochondrial contact site reporter, to evaluate the effects of artificial membrane tethers on CoQ biosynthesis in both wild-type and ERMES mutant yeast strains. Overall, this work identifies the deletion of COQ11 as a novel suppressor of phenotypes associated with ERMES deletion mutants and indicates that ER-mitochondria tethers influence CoQ content and turnover, highlighting the role of membrane contact sites in regulating mitochondrial respiratory homeostasis.

A multilineage screen identifies actionable synthetic lethal interactions in human cancers

Cancers are driven by alterations in diverse genes, creating dependencies that can be therapeutically targeted. However, many genetic dependencies have proven inconsistent across tumors. Here we describe SCHEMATIC, a strategy to identify a core network of highly penetrant, actionable genetic interactions. First, fundamental cellular processes are perturbed by systematic combinatorial knockouts across tumor lineages, identifying 1,805 synthetic lethal interactions (95% unreported). Interactions are then analyzed by hierarchical pooling, revealing that half segregate reliably by tissue type or biomarker status (51%) and a substantial minority are penetrant across lineages (34%). Interactions converge on 49 multigene systems, including MAPK signaling and BAF transcriptional regulatory complexes, which become essential on disruption of polymerases. Some 266 interactions translate to robust biomarkers of drug sensitivity, including frequent genetic alterations in the KDM5C/6A histone demethylases, which sensitize to inhibition of TIPARP (PARP7). SCHEMATIC offers a context-aware, data-driven approach to match genetic alterations to targeted therapies.

Fusarium graminearum Ste2 and Ste3 receptors undergo peroxidase-induced heterodimerization when expressed heterologously in Saccharomyces cerevisiae

Fusarium graminearum FgSte2 and FgSte3 are G-protein-coupled receptors (GPCRs) shown to play roles in hyphal chemotropism and fungal plant pathogenesis in response to activity arising from host-secreted peroxidases. Here, we follow up on the observation that chemotropism is dependent on both FgSte2 and FgSte3 being present; testing the possibility that this might be due to formation of an FgSte2-FgSte3 heterodimer. Bioluminescence resonance energy transfer (BRET) analyses were conducted in Saccharomyces cerevisiae, where the addition of horse radish peroxidase (HRP) was found to increase the transfer of energy from the inducibly expressed FgSte3-Nano luciferase donor, to the constitutively expressed FgSte2-yellow fluorescent protein (YFP) acceptor, compared to controls. A partial response was also detected when an HRP-derived ligand-containing extract was enriched from F. graminearum spores and applied instead of HRP. In contrast, substitution with pheromones or an unrelated bovine GPCR, rhodopsin-YFP used as acceptor, eliminated all BRET responses. Interaction results were validated by affinity pulldown and receptor expression was validated by confocal immunofluorescence microscopy. Taken together these findings demonstrate the formation of HRP and HRP-derived ligand stimulated heterodimers between FgSte2 and FgSte3. Outcomes are discussed from the context of the roles of ligands and reactive oxygen species in GPCR dimerization.

Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost

Understanding what drives protein abundance is essential to biology, medicine, and biotechnology. Driven by evolutionary selection, an amino acid sequence is tailored to meet the required abundance of a proteome, underscoring the intricate relationship between sequence and functional demand. Yet, the specific role of amino acid sequences in determining proteome abundance remains elusive. Here we show that the amino acid sequence alone encodes over half of protein abundance variation across all domains of life, ranging from bacteria to mouse and human. With an attempt to go beyond predictions, we trained a manageable-size Transformer model to interpret latent factors predictive of protein abundances. Intuitively, the model's attention focused on the protein's structural features linked to stability and metabolic costs related to protein synthesis. To probe these relationships, we introduce MGEM (Mutation Guided by an Embedded Manifold), a methodology for guiding protein abundance through sequence modifications. We find that mutations which increase predicted abundance have significantly altered protein polarity and hydrophobicity, underscoring a connection between protein structural features and abundance. Through molecular dynamics simulations we revealed that abundance-enhancing mutations possibly contribute to protein thermostability by increasing rigidity, which occurs at a lower synthesis cost.

Activation of the yeast MAP kinase, Slt2, protects against TDP-43 and TDP-25 toxicity in the Saccharomyces cerevisiae proteinopathy model

TDP-43 proteinopathy is observed in human neurodegenerative diseases like ALS. Heterologous TDP-43 expression in the yeast model also mimics several proteinopathy features such as cytotoxicity, cytoplasmic mis-localization and oxidative stress. Among the pathways implicated in modulating the TDP-43 toxicity in yeast, the unfolded protein response (UPR) activation was also identified. Here, we examine the role of stress-regulated yeast MAP kinase, Slt2, which also links cellular stress with UPR activation, in modulating the toxicities of the full-length TDP-43 and its 25 kDa C-terminal fragment, TDP-25. We find enhancement in the cytotoxicity of TDP-43, as well as TDP-25, in the yeast cells deleted for the MAP kinase, Slt2, but not in those lacking other yeast MAP kinases, Kss1 and Fus3. Unlike in the wild-type yeast, upon treatment with an antioxidant N-acetyl cysteine, the TDP-43 toxicity could not be mitigated in the slt2Δ yeast but the TDP-25 toxicity was significantly rescued suggesting oxidative stress as an important contributor to the TDP-25 toxicity. Notably, TDP-43 as well as TDP-25 expressions could cause significant phosphorylation of Slt2 suggesting activation of this MAP Kinase due to their toxicities. Interestingly, in the slt2Δ cells, lacking the MAP Kinase activity, a treatment with low concentrations of an UPR activator molecule, DTT, caused significant reduction in the toxicities of both TDP-43 as well as TDP-25. Taken together, these findings suggest that TDP-43 and TDP-25 toxicity-induced stress-mediated activation of the MAP kinase Slt2 helps in mitigating their toxicities in the yeast model possibly through UPR activation.

Optogenetic screening of MCT1 activity implicates a cluster of non-steroidal anti-inflammatory drugs (NSAIDs) as inhibitors of lactate transport

Lactate transport plays a crucial role in the metabolism, microenvironment, and survival of cancer cells. However, current drugs targeting either MCT1 or MCT4, which traditionally mediate lactate import or efflux respectively, show limited efficacy beyond in vitro models. This limitation partly arises from the existence of both isoforms in certain tumors, however existing high-affinity MCT1/4 inhibitors are years away from human testing. Therefore, we conducted an optogenetic drug screen in Saccharomyces cerevisiae on a subset of the FDA-approved drug library to identify existing scaffolds that could be repurposed as monocarboxylate transporter (MCT) inhibitors. Our findings show that several existing drug classes inhibit MCT1 activity, including non-steroidal estrogens, non-steroidal anti-inflammatory drugs (NSAIDs), and natural products (in total representing approximately 1% of the total library, 78 out of 6400), with a moderate affinity (IC50 1.8-21 μM). Given the well-tolerated nature of NSAIDs, and their known anticancer properties associated with COX inhibition, we chose to further investigate their MCT1 inhibition profile. The majority of NSAIDs in our screen cluster into a single large structural grouping. Moreover, this group is predominantly comprised of FDA-approved NSAIDs, with seven exhibiting moderate MCT1 inhibition. Since these molecules form a distinct structural cluster with known NSAID MCT4 inhibitors, such as diclofenac, ketoprofen, and indomethacin, we hypothesize that these newly identified inhibitors may also inhibit both transporters. Consequently, NSAIDs as a class, and piroxicam specifically (IC50 4.4 μM), demonstrate MCT1 inhibition at theoretically relevant human dosages, suggesting immediate potential for standalone MCT inhibition or combined anticancer therapy.

A model of inborn metabolism errors associated with adenine amyloid-like fiber formation reduces TDP-43 aggregation and toxicity in yeast

TDP-43 is linked to human diseases such as amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). Expression of TDP-43 in yeast is known to be toxic, cause cells to elongate, form liquid-like aggregates, and inhibit autophagy and TOROID formation. Here, we used the apt1Δ aah1Δ yeast model of disorders of inborn errors of metabolism, previously shown to lead to intracellular adenine accumulation and adenine amyloid-like fiber formation, to explore interactions with TDP-43. Results show that the double deletion shifts the TDP-43 aggregates from a liquid-like, toward a more amyloid-like, state. At the same time the deletions reduce TDP-43's effects on toxicity, cell morphology, autophagy, and TOROID formation without affecting the level of TDP-43. This suggests that the liquid-like and not amyloid-like TDP-43 aggregates are responsible for the deleterious effects in yeast. How the apt1Δ aah1Δ deletions alter TDP-43 aggregate formation is not clear. Possibly, it results from adenine/TDP-43 fiber interactions as seen for other heterologous fibers. The work offers new insights into the potential interactions between metabolite-based amyloids and pathological protein aggregates, with broad implications for understanding protein misfolding diseases.

AttentionEP: Predicting essential proteins via fusion of multiscale features by attention mechanisms

Identifying essential proteins is of utmost importance in the field of biomedical research due to their essential functions in cellular activities and their involvement in mechanisms related to diseases. In this research, a novel approach called AttentionEP for predicting essential proteins (EP) is introduced by attention mechanisms. This method leverages both cross-attention and self-attention frameworks, focusing on enhancing prediction accuracy through the integration of features across diverse scales. Spatial characteristics of proteins are obtained from the protein-protein interaction (PPI) network by employing Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT). Following this, Bidirectional Long Short-Term Memory networks (BiLSTM) are employed to derive temporal features from gene expression datasets. Furthermore, spatial characteristics are derived by integrating data on subcellular localization with the application of Deep Neural Networks (DNN). In order to effectively integrate features across multiple scales, initial steps involve the application of self-attention techniques to derive essential insights from each unique data set. Following this, mechanisms involving self-attention and cross-attention are employed to enhance the interaction between diverse information sources. To identify essential proteins, a classifier based on the ResNet architecture is developed. The findings from the experiments indicate that the method introduced here shows superior performance in identifying essential proteins, recording an Area Under the Curve (AUC) value of 0.9433. This approach shows a considerable advantage over established techniques. The findings of this study provide a significant advancement in the comprehension of critical proteins, revealing promising potential for applications in the development of therapeutics and addressing various diseases.

Remodelling of Rea1 linker domain drives the removal of assembly factors from pre-ribosomal particles

The ribosome maturation factor Rea1 (or Midasin) catalyses the removal of assembly factors from large ribosomal subunit precursors and promotes their export from the nucleus to the cytosol. Rea1 consists of nearly 5000 amino-acid residues and belongs to the AAA+ protein family. It consists of a ring of six AAA+ domains from which the ≈1700 amino-acid residue linker emerges that is subdivided into stem, middle and top domains. A flexible and unstructured D/E rich region connects the linker top to a MIDAS (metal ion dependent adhesion site) domain, which is able to bind the assembly factor substrates. Despite its key importance for ribosome maturation, the mechanism driving assembly factor removal by Rea1 is still poorly understood. Here we demonstrate that the Rea1 linker is essential for assembly factor removal. It rotates and swings towards the AAA+ ring following a complex remodelling scheme involving nucleotide independent as well as nucleotide dependent steps. ATP-hydrolysis is required to engage the linker with the AAA+ ring and ultimately with the AAA+ ring docked MIDAS domain. The interaction between the linker top and the MIDAS domain allows direct force transmission for assembly factor removal.

Nonfunctional coq10 mutants maintain the ERMES complex and reveal true phenotypes associated with the loss of the coenzyme Q chaperone protein Coq10

Coenzyme Q (CoQ) is a redox-active lipid molecule that acts as an electron carrier in the mitochondrial electron transport chain. In Saccharomyces cerevisiae, CoQ is synthesized in the mitochondrial matrix by a multisubunit protein-lipid complex termed the CoQ synthome, the spatial positioning of which is coordinated by the endoplasmic reticulum-mitochondria encounter structure (ERMES). The MDM12 gene encoding the cytosolic subunit of ERMES is coexpressed with COQ10, which encodes the putative CoQ chaperone Coq10, via a shared bidirectional promoter. Deletion of COQ10 results in respiratory deficiency, impaired CoQ biosynthesis, and reduced spatial coordination between ERMES and the CoQ synthome. While Coq10 protein content is maintained upon deletion of MDM12, we show that deletion of COQ10 by replacement with a HIS3 marker results in diminished Mdm12 protein content. Since deletion of individual ERMES subunits prevents ERMES formation, we asked whether some or all of the phenotypes associated with COQ10 deletion result from ERMES dysfunction. To identify the phenotypes resulting solely due to the loss of Coq10, we constructed strains expressing a functionally impaired (coq10-L96S) or truncated (coq10-R147∗) Coq10 isoform using CRISPR-Cas9. We show that both coq10 mutants preserve Mdm12 protein content and exhibit impaired respiratory capacity like the coq10Δ mutant, indicating that Coq10's function is vital for respiration regardless of ERMES integrity. Moreover, the maintenance of CoQ synthome stability and efficient CoQ biosynthesis observed for the coq10-R147∗ mutant suggests these deleterious phenotypes in the coq10Δ mutant result from ERMES disruption. Overall, this study clarifies the role of Coq10 in modulating CoQ biosynthesis.

Investigating the Activities of CAF20 and ECM32 in the Regulation of PGM2 mRNA Translation

Translation is a fundamental process in biology, and understanding its mechanisms is crucial to comprehending cellular functions and diseases. The regulation of this process is closely linked to the structure of mRNA, as these regions prove vital to modulating translation efficiency and control. Thus, identifying and investigating these fundamental factors that influence the processing and unwinding of structured mRNAs would be of interest due to the widespread impact in various fields of biology. To this end, we employed a computational approach and identified genes that may be involved in the translation of structured mRNAs. The approach is based on the enrichment of interactions and co-expression of genes with those that are known to influence translation and helicase activity. The in silico prediction found CAF20 and ECM32 to be highly ranked candidates that may play a role in unwinding mRNA. The activities of neither CAF20 nor ECM32 have previously been linked to the translation of PGM2 mRNA or other structured mRNAs. Our follow-up investigations with these two genes provided evidence of their participation in the translation of PGM2 mRNA and several other synthetic structured mRNAs.

The Yeast Ribosomal Protein Rpl1b Is Not Required for Respiration

Previously, Segev and Gerst found that mutants in any of the four ribosomal protein genes rpl1b, rpl2b, rps11a, or rps26b had a petite phenotype-i.e., the mutants were deficient in respiration. Strikingly, mutants of their paralogs rpl1a, rpl2a, rps11b, and rps26a were grande-i.e., competent for respiration. It is remarkable that these paralogs should have opposite phenotypes, because three of the paralog pairs (Rpl1a/Rpl1b, Rpl2a/Rpl2b, Rps11a/Rps11b) are 100% identical to each other in terms of their amino acid sequences, while Rps26a and Rps26b differ in 2 amino acids out of 119. However, while attempting to use this paralog-specific petite phenotype in an unrelated experiment, I found that the rpl1b, rpl2b, rps11a, and rps26b deletion mutants are competent for respiration, contrary to the findings of Segev and Gerst.

Electron microscopy evidence of gadolinium toxicity being mediated through cytoplasmic membrane dysregulation

Past functional toxicogenomic studies have indicated that genes relevant to membrane lipid synthesis are important for tolerance to the lanthanides. Moreover, previously reported imaging of patient's brains following administration of gadolinium-based contrast agents shows gadolinium lining the vessels of the brain. Taken together, these findings suggest the disruption of cytoplasmic membrane integrity as a mechanism by which lanthanides induce cytotoxicity. In the presented work we used scanning transmission electron microscopy and spatially resolved elemental spectroscopy to image the morphology and composition of gadolinium, europium, and samarium precipitates that formed on the outside of yeast cell membranes. In no sample did we find that the lanthanide contaminant had crossed the cell membrane, even in experiments using yeast mutants with disrupted genes for sphingolipid synthesis-the primary lipids found in yeast cytoplasmic membranes. Rather, we have evidence that lanthanides are co-located with phosphorus outside the yeast cells. These results lead us to hypothesize that the lanthanides scavenge or otherwise form complexes with phosphorus from the sphingophospholipid head groups in the cellular membrane, thereby compromising the structure or function of the membrane, and gaining the ability to disrupt membrane function without entering the cell.

An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork

The use of graph centrality measures applied to biological networks, such as protein interaction networks, underpins much research into identifying key players within biological processes. This approach however is restricted to dyadic interactions and it is well-known that in many instances interactions are polyadic. In this study we illustrate the merit of using hypergraph centrality applied to a hypernetwork as an alternative. Specifically, we review and propose an extension to a recently introduced node and edge nonlinear hypergraph centrality model which provides mutually dependent node and edge centralities. A Saccharomyces Cerevisiae protein complex hypernetwork is used as an example application with nodes representing proteins and hyperedges representing protein complexes. The resulting rankings of the nodes and edges are considered to see if they provide insight into the essentiality of the proteins and complexes. We find that certain variations of the model predict essentiality more accurately and that the degree-based variation illustrates that the centrality-lethality rule extends to a hypergraph setting. In particular, through exploitation of the models flexibility, we identify small sets of proteins densely populated with essential proteins. One of the key advantages of applying this model to a protein complex hypernetwork is that it also provides a classification method for protein complexes, unlike previous approaches which are only concerned with classifying proteins.

BnaC4.BOR2 mediates boron uptake and translocation in Brassica napus under boron deficiency

Boron (B) is an essential microelement in plant growth and development. However, the molecular mechanisms underlying B uptake and translocation in Brassica napus are poorly understood. Herein, we identified a low-B (LB)-inducible gene, namely BnaC4.BOR2, with high transcriptional activity in root tips, stele cells, leaves, and floral organs. The green fluorescence protein labelled BnaC4.BOR2 protein was localised to the plasma membrane to demonstrate the B efflux activity in yeast and Arabidopsis. BnaC4.BOR2 knockout considerably reduced B concentration in the root and xylem sap, and altered B distribution in different organs at low B supply, exacerbating B sensitivity at the vegetative and reproductive stages. Additionally, the grafting experiment showed that BnaC4.BOR2 expression in the roots contributed more to B deficiency adaptability than that in the shoots. The pot experiments with LB-soil revealed B concentration in leaves and siliques of BnaC4.BOR2 mutants were markedly reduced, showing an obvious B-deficient phenotype of 'flowering without seed setting' and a considerable reduction in seed yield in B-deficient soil. Altogether, the findings of this study highlight the crucial role of BnaC4.BOR2 in B uptake and translocation during B. napus growth and seed yield under LB conditions.

ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins

Accurately identifying essential proteins is vital for drug research and disease diagnosis. Traditional centrality methods and machine learning approaches often face challenges in accurately discerning essential proteins, primarily relying on information derived from protein-protein interaction (PPI) networks. Despite attempts by some researchers to integrate biological data and PPI networks for predicting essential proteins, designing effective integration methods remains a challenge. In response to these challenges, this paper presents the ACDMBI model, specifically designed to overcome the aforementioned issues. ACDMBI is comprised of two key modules: feature extraction and classification. In terms of capturing relevant information, we draw insights from three distinct data sources. Initially, structural features of proteins are extracted from the PPI network through community division. Subsequently, these features are further optimized using Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT). Moving forward, protein features are extracted from gene expression data utilizing Bidirectional Long Short-Term Memory networks (BiLSTM) and a multi-head self-attention mechanism. Finally, protein features are derived by mapping subcellular localization data to a one-dimensional vector and processing it through fully connected layers. In the classification phase, we integrate features extracted from three different data sources, crafting a multi-layer deep neural network (DNN) for protein classification prediction. Experimental results on brewing yeast data showcase the ACDMBI model's superior performance, with AUC reaching 0.9533 and AUPR reaching 0.9153. Ablation experiments further reveal that the effective integration of features from diverse biological information significantly boosts the model's performance.

From the TOP: Formation, recognition and resolution of topoisomerase DNA protein crosslinks

Since the report of "DNA untwisting" activity in 1972, ∼50 years of research has revealed seven topoisomerases in humans (TOP1, TOP1mt, TOP2α, TOP2β, TOP3α, TOP3β and Spo11). These conserved regulators of DNA topology catalyze controlled breakage to the DNA backbone to relieve the torsional stress that accumulates during essential DNA transactions including DNA replication, transcription, and DNA repair. Each topoisomerase-catalyzed reaction involves the formation of a topoisomerase cleavage complex (TOPcc), a covalent protein-DNA reaction intermediate formed between the DNA phosphodiester backbone and a topoisomerase catalytic tyrosine residue. A variety of perturbations to topoisomerase reaction cycles can trigger failure of the enzyme to re-ligate the broken DNA strand(s), thereby generating topoisomerase DNA-protein crosslinks (TOP-DPC). TOP-DPCs pose unique threats to genomic integrity. These complex lesions are comprised of structurally diverse protein components covalently linked to genomic DNA, which are bulky DNA adducts that can directly impact progression of the transcription and DNA replication apparatus. A variety of genome maintenance pathways have evolved to recognize and resolve TOP-DPCs. Eukaryotic cells harbor tyrosyl DNA phosphodiesterases (TDPs) that directly reverse 3'-phosphotyrosyl (TDP1) and 5'-phoshotyrosyl (TDP2) protein-DNA linkages. The broad specificity Mre11-Rad50-Nbs1 and APE2 nucleases are also critical for mitigating topoisomerase-generated DNA damage. These DNA-protein crosslink metabolizing enzymes are further enabled by proteolytic degradation, with the proteasome, Spartan, GCNA, Ddi2, and FAM111A proteases implicated thus far. Strategies to target, unfold, and degrade the protein component of TOP-DPCs have evolved as well. Here we survey mechanisms for addressing Topoisomerase 1 (TOP1) and Topoisomerase 2 (TOP2) DPCs, highlighting systems for which molecular structure information has illuminated function of these critical DNA damage response pathways.

Non-canonical chromatin-based functions for the threonine metabolic pathway

The emerging class of multi-functional proteins known as moonlighters challenges the "one protein, one function" mentality by demonstrating crosstalk between biological pathways that were previously thought to be functionally discrete. Here, we present new links between amino acid metabolism and chromatin regulation, two biological pathways that are critical for cellular and organismal homeostasis. We discovered that the threonine biosynthetic pathway is required for the transcriptional silencing of ribosomal DNA (rDNA) in Saccharomyces cerevisiae. The enzymes in the pathway promote rDNA silencing through distinct mechanisms as a subset of silencing phenotypes was rescued with exogenous threonine. In addition, we found that a key pathway enzyme, homoserine dehydrogenase, promotes DNA repair through a mechanism involving the MRX complex, a major player in DNA double strand break repair. These data further the understanding of enzymes with non-canonical roles, here demonstrated within the threonine biosynthetic pathway, and provide insight into their roles as potential anti-fungal pharmaceutical targets.

The rise and future of CRISPR-based approaches for high-throughput genomics

Clustered regularly interspaced short palindromic repeats (CRISPR) has revolutionized the field of genome editing. To circumvent the permanent modifications made by traditional CRISPR techniques and facilitate the study of both essential and nonessential genes, CRISPR interference (CRISPRi) was developed. This gene-silencing technique employs a deactivated Cas effector protein and a guide RNA to block transcription initiation or elongation. Continuous improvements and a better understanding of the mechanism of CRISPRi have expanded its scope, facilitating genome-wide high-throughput screens to investigate the genetic basis of phenotypes. Additionally, emerging CRISPR-based alternatives have further expanded the possibilities for genetic screening. This review delves into the mechanism of CRISPRi, compares it with other high-throughput gene-perturbation techniques, and highlights its superior capacities for studying complex microbial traits. We also explore the evolution of CRISPRi, emphasizing enhancements that have increased its capabilities, including multiplexing, inducibility, titratability, predictable knockdown efficacy, and adaptability to nonmodel microorganisms. Beyond CRISPRi, we discuss CRISPR activation, RNA-targeting CRISPR systems, and single-nucleotide resolution perturbation techniques for their potential in genome-wide high-throughput screens in microorganisms. Collectively, this review gives a comprehensive overview of the general workflow of a genome-wide CRISPRi screen, with an extensive discussion of strengths and weaknesses, future directions, and potential alternatives.

Most Pleiotropic Effects of Gene Knockouts Are Evolutionarily Transient in Yeasts

Pleiotropy, the phenomenon in which a single gene influences multiple traits, is a fundamental concept in genetics. However, the evolutionary mechanisms underlying pleiotropy require further investigation. In this study, we conducted parallel gene knockouts targeting 100 transcription factors in 2 strains of Saccharomyces cerevisiae. We systematically examined and quantified the pleiotropic effects of these knockouts on gene expression levels for each transcription factor. Our results showed that the knockout of a single gene generally affected the expression levels of multiple genes in both strains, indicating various degrees of pleiotropic effects. Strikingly, the pleiotropic effects of the knockouts change rapidly between strains in different genetic backgrounds, and ∼85% of them were nonconserved. Further analysis revealed that the conserved effects tended to be functionally associated with the deleted transcription factors, while the nonconserved effects appeared to be more ad hoc responses. In addition, we measured 184 yeast cell morphological traits in these knockouts and found consistent patterns. In order to investigate the evolutionary processes underlying pleiotropy, we examined the pleiotropic effects of standing genetic variations in a population consisting of ∼1,000 hybrid progenies of the 2 strains. We observed that newly evolved expression quantitative trait loci impacted the expression of a greater number of genes than did old expression quantitative trait loci, suggesting that natural selection is gradually eliminating maladaptive or slightly deleterious pleiotropic responses. Overall, our results show that, although being prevalent for new mutations, the majority of pleiotropic effects observed are evolutionarily transient, which explains how evolution proceeds despite complicated pleiotropic effects.

Histone variant H2A.Z is needed for efficient transcription-coupled NER and genome integrity in UV challenged yeast cells

The genome of living cells is constantly challenged by DNA lesions that interfere with cellular processes such as transcription and replication. A manifold of mechanisms act in concert to ensure adequate DNA repair, gene expression, and genome stability. Bulky DNA lesions, such as those induced by UV light or the DNA-damaging agent 4-nitroquinoline oxide, act as transcriptional and replicational roadblocks and thus represent a major threat to cell metabolism. When located on the transcribed strand of active genes, these lesions are handled by transcription-coupled nucleotide excision repair (TC-NER), a yet incompletely understood NER sub-pathway. Here, using a genetic screen in the yeast Saccharomyces cerevisiae, we identified histone variant H2A.Z as an important component to safeguard transcription and DNA integrity following UV irradiation. In the absence of H2A.Z, repair by TC-NER is severely impaired and RNA polymerase II clearance reduced, leading to an increase in double-strand breaks. Thus, H2A.Z is needed for proficient TC-NER and plays a major role in the maintenance of genome stability upon UV irradiation.

Role of a novel endoplasmic reticulum-resident glycoprotein Mtc6/Ehg2 in high-pressure growth: stability of tryptophan permease Tat2 in Saccharomyces cerevisiae

Deep-sea organisms are subjected to extreme conditions; therefore, understanding their adaptive strategies is crucial. We utilize Saccharomyces cerevisiae as a model to investigate pressure-dependent protein regulation and piezo-adaptation. Using yeast deletion library analysis, we identified 6 poorly characterized genes that are crucial for high-pressure growth, forming novel functional modules associated with cell growth. In this study, we aimed to unravel the molecular mechanisms of high-pressure adaptation in S. cerevisiae, focusing on the role of MTC6. MTC6, the gene encoding the novel glycoprotein Mtc6/Ehg2, was found to stabilize tryptophan permease Tat2, ensuring efficient tryptophan uptake and growth under high pressure at 25 MPa. The loss of MTC6 led to promoted vacuolar degradation of Tat2, depending on the Rsp5-Bul1 ubiquitin ligase complex. These findings enhance our understanding of deep-sea adaptations and stress biology, with broad implications for biotechnology, environmental microbiology, and evolutionary insights across species.

Establishment of a Rapid Detection Method for Cadmium Ions via a Specific Cadmium Chelator N-(2-Acetamido)-Iminodiacetic Acid Screened by a Novel Biological Method

Heavy metal ions such as cadmium, mercury, lead, and arsenic in the soil cannot be degraded naturally and are absorbed by crops, leading to accumulation in agricultural products, which poses a serious threat to human health. Therefore, establishing a rapid and efficient method for detecting heavy metal ions in agricultural products is of great significance to ensuring the health and safety. In this study, a novel optimized spectrometric method was developed for the rapid and specific colorimetric detection of cadmium ions based on N-(2-Acetamido)-iminodiacetic acid (ADA) and Victoria blue B (VBB) as the chromogenic unit. The safety evaluation of ADA showed extremely low biological toxicity in cultured cells and live animals. The standard curve is y = 0.0212x + 0.1723, R2 = 0.9978, and LOD = 0.08 μM (0.018 mg/kg). The liner concentrations detection range of cadmium is 0.1-10 μM. An inexpensive paper strip detection method was developed with a detection limit of 0.2 μM to the naked eye and a detection time of less than 1 min. The method was successfully used to assess the cadmium content of rice, soybean, milk, grape, peach, and cabbage, and the results correlated well with those determined by inductively coupled plasma-mass spectrometry (ICP-MS). Thus, our study demonstrated a novel rapid, safe, and economical method for onsite, real-time detection of cadmium ions in agricultural products.

Clearing the JUNQ: the molecular machinery for sequestration, localization, and degradation of the JUNQ compartment

Cellular protein homeostasis (proteostasis) plays an essential role in regulating the folding, sequestration, and turnover of misfolded proteins via a network of chaperones and clearance factors. Previous work has shown that misfolded proteins are spatially sequestered into membrane-less compartments in the cell as part of the proteostasis process. Soluble misfolded proteins in the cytoplasm are trafficked into the juxtanuclear quality control compartment (JUNQ), and nuclear proteins are sequestered into the intranuclear quality control compartment (INQ). However, the mechanisms that control the formation, localization, and degradation of these compartments are unknown. Previously, we showed that the JUNQ migrates to the nuclear membrane adjacent to the INQ at nucleus-vacuole junctions (NVJ), and the INQ moves through the NVJ into the vacuole for clearance in an ESCRT-mediated process. Here we have investigated what mechanisms are involved in the formation, migration, and clearance of the JUNQ. We find Hsp70s Ssa1 and Ssa2 are required for JUNQ localization to the NVJ and degradation of cytoplasmic misfolded proteins. We also confirm that sequestrases Btn2 and Hsp42 sort misfolded proteins to the JUNQ or IPOD, respectively. Interestingly, proteins required for piecemeal microautophagy of the nucleus (PMN) (i.e., Nvj1, Vac8, Atg1, and Atg8) drive the formation and clearance of the JUNQ. This suggests that the JUNQ migrates to the NVJ to be cleared via microautophagy.

Regulatory complexity of cellular differentiation in Candida albicans revealed through systematic screening of protein kinase mutants

A recent study in mBio reports the construction and preliminary screening of a library containing mutants of 99 of the 119 predicted protein kinases in Candida albicans (the majority of the remaining 20 are probably essential) (J. Kramara, M.-J. Kim, T. L. Ollinger, L. C. Ristow, et al., mBio e01249-24, 2024, https://doi.org/10.1128/mbio.01249-24). Using a quantitative competition assay in 10 conditions that represent nutritional, osmotic, cell wall, and pH stresses that are considered to model various aspects of the host environment allowed them to phenotypically cluster kinases, which highlight both the integration and specialization of signaling pathways, suggesting novel functions for many kinases. In addition, they tackle two complex and partially overlapping differentiation events, hyphal morphogenesis and biofilm formation. They find that a remarkable 88% of the viable kinase mutants in C. albicans affect hyphal growth, illustrating how integrated morphogenesis is in the overall biology of this organism, and begin to dissect the regulatory relationships that control this key virulence trait.

Unlocking biological mechanisms with integrative functional genomics approaches

Reverse genetics offers precise functional insights into genes through the targeted manipulation of gene expression followed by phenotypic assessment. While these approaches have proven effective in model organisms such as Saccharomyces cerevisiae, large-scale genetic manipulations in human cells were historically unfeasible due to methodological limitations. However, recent advancements in functional genomics, particularly clustered regularly interspaced short palindromic repeats (CRISPR)-based screening technologies and next-generation sequencing platforms, have enabled pooled screening technologies that allow massively parallel, unbiased assessments of biological phenomena in human cells. This review provides a comprehensive overview of cutting-edge functional genomic screening technologies applicable to human cells, ranging from short hairpin RNA screens to modern CRISPR screens. Additionally, we explore the integration of CRISPR platforms with single-cell approaches to monitor gene expression, chromatin accessibility, epigenetic regulation, and chromatin architecture following genetic perturbations at the omics level. By offering an in-depth understanding of these genomic screening methods, this review aims to provide insights into more targeted and effective strategies for genomic research and personalized medicine.

Mtc6/Ehg2 is a novel endoplasmic reticulum-resident glycoprotein essential for high-pressure tolerance

Hydrostatic pressure is a common mechanical stressor that modulates metabolism and reduces cell viability. Eukaryotic cells have genetic programs to cope with hydrostatic pressure stress and maintain intracellular homeostasis. However, the mechanism underlying hydrostatic pressure tolerance remains largely unknown. We have recently demonstrated that maintenance of telomere capping protein 6 (Mtc6) plays a protective role in the survival of the budding yeast Saccharomyces cerevisiae under hydrostatic pressure stress by supporting the integrity of nutrient permeases. The current study demonstrates that Mtc6 acts as an endoplasmic reticulum (ER) membrane protein. Mtc6 comprises two transmembrane domains, a C-terminal cytoplasmic domain and a luminal region with 12 Asn (N)-linked glycans attached to it. Serial mutational analyses showed that the cytoplasmic C-terminal amino acid residues GVPS Mtc6 activity. Multiple N-linked glycans in the luminal region are involved in the structural conformation of Mtc6. Moreover, deletion of MTC6 led to increased degradation of the leucine permease Bap2 under hydrostatic pressure, suggesting that Mtc6 facilitates the proper folding of nutrient permeases in the ER under stress conditions. We propose a novel model of molecular function in which the glycosylated luminal domain and cytoplasmic GVPS sequences of Mtc6 cooperatively support the nutrient permease activity.

Synthetic lethality and the minimal genome size problem

Gene knockout studies suggest that ~300 genes in a bacterial genome and ~1,100 genes in a yeast genome cannot be deleted without loss of viability. These single-gene knockout experiments do not account for negative genetic interactions, when two or more genes can each be deleted without effect, but their joint deletion is lethal. Thus, large-scale single-gene deletion studies underestimate the size of a minimal gene set compatible with cell survival. In yeast Saccharomyces cerevisiae, the viability of all possible deletions of gene pairs (2-tuples), and of some deletions of gene triplets (3-tuples), has been experimentally tested. To estimate the size of a yeast minimal genome from that data, we first established that finding the size of a minimal gene set is equivalent to finding the minimum vertex cover in the lethality (hyper)graph, where the vertices are genes and (hyper)edges connect k-tuples of genes whose joint deletion is lethal. Using the Lovász-Johnson-Chvatal greedy approximation algorithm, we computed the minimum vertex cover of the synthetic-lethal 2-tuples graph to be 1,723 genes. We next simulated the genetic interactions in 3-tuples, extrapolating from the existing triplet sample, and again estimated minimum vertex covers. The size of a minimal gene set in yeast rapidly approaches the size of the entire genome even when considering only synthetic lethalities in k-tuples with small k. In contrast, several studies reported successful experimental reductions of yeast and bacterial genomes by simultaneous deletions of hundreds of genes, without eliciting synthetic lethality. We discuss possible reasons for this apparent contradiction.IMPORTANCEHow can we estimate the smallest number of genes sufficient for a unicellular organism to survive on a rich medium? One approach is to remove genes one at a time and count how many of such deletion strains are unable to grow. However, the single-gene knockout data are insufficient, because joint gene deletions may result in negative genetic interactions, also known as synthetic lethality. We used a technique from graph theory to estimate the size of minimal yeast genome from partial data on synthetic lethality. The number of potential synthetic lethal interactions grows very fast when multiple genes are deleted, revealing a paradoxical contrast with the experimental reductions of yeast genome by ~100 genes, and of bacterial genomes by several hundreds of genes.