Biology subjects

Kim, H.-S.

Publications and source records attributed to Kim, H.-S..

At least 19 recordsLinked to original sources

bioRxiv2026

Microcystis-triggered shifts in the symbiotic microbiome of Myriophyllum spicatum rapidly suppress Microcystis aeruginosa

While the suppression of toxic cyanobacteria by aquatic plants has long been recognized, few studies have clearly differentiated between the allelopathic effects of the plant itself and the inhibitory influence of its associated microbiome. This study aimed to clarify the primary inhibitory agent by pre-culturing Myriophyllum spicatum (Eurasian watermilfoil) under three conditions: (1) BG11 medium, (2) live Microcystis aeruginosa KW culture, and (3) a Microcystis-symbiotic microbiome (excluding Microcystis cells). After a 7-day pre-culture, Myriophyllum shoots were transferred to fresh Microcystis culture. The Myriophyllum pre-cultured in Microcystis culture exhibited rapid inhibition against Microcystis (84% within day 1), whereas the Myriophyllum pre-cultured in BG11 medium showed delayed responses (89% by day 7). In contrast, inhibition remained below 50% in the Myriophyllum pre-cultured with the Microcystis-symbiotic microbiome. Notably, plant-derived soluble compounds exhibited weak inhibitory effects, whereas the microbiome showed stronger inhibitory activity, indicating that the plant-associated microbiome plays a more dominant role than the plant itself. Exposure to Microcystis triggered significant shifts in plant-symbiotic microbial community composition, leading to rapid enhancement of inhibitory activity in the Myriophyllum microbiome. Microbial community analysis identified 28 bacterial taxa closely associated with the inhibitory response, including strains involved in organic matter degradation, adhesion, biofilm formation, and predatory behavior. Meta-transcriptomic analysis further confirmed increased expression of genes related to bacterial adhesion, biofilm formation, and carbohydrate metabolism following Microcystis exposure, highlighting functional adaptations linked to cyanobacterial suppression. These findings underline the role of microbiome-mediated cyanobactericidal mechanisms, providing new insights into a nature-based solution for mitigating Microcystis-dominated harmful algal blooms.

ecology↗

bioRxiv2026

Anticipatory modulation of motor unit discharge rate before rapid isometric elbow flexion force production

Surface electromyography (EMG) studies have demonstrated anticipatory muscle activation prior to predictable voluntary actions. However, the mechanism through which this preparation is expressed, whether through motor-unit recruitment or discharge-rate modulation, remains to be elucidated. We employed surface decomposition EMG to quantify motor-unit behavior prior to self-paced rapid isometric elbow-flexion force pulses. Twelve healthy young men were instructed to generate elbow-flexion pulse force at 30%, 40%, and 50% of the maximal voluntary contraction (MVC) at a self-selected time. Motor-unit activity was decomposed from the biceps brachii and triceps brachii muscles, and the normalized active motor-unit number and mean discharge rate were analyzed prior to pulse onset. In the agonist, the pre-pulse increase mean discharge rate exhibited a higher value than the change in detected motor-unit count, particularly at the 40% and 50% MVC targets. The discharge-rate increase scaled with the target force, with a heightened response observed in high-threshold as compared to low-threshold motor units. Antagonist recordings with sufficient decomposition yield exhibited a similar discharge-rate-dominant pattern; however, these data were available from a smaller sample size. Present findings suggest that discharge-rate modulation is a primary motor-unit-level feature of anticipatory preparation for rapid isometric force production.

neuroscience↗

bioRxiv2026

A full-length GRAS domain protein underpins efficient shoot regeneration in pepper

Pepper (Capsicum annuum L.) is a recalcitrant species regarding shoot regeneration, a trait that serves as a major bottleneck for the application of genetic engineering tools. In this study, comparative genetic analysis between a rare high-regeneration cultivar and a common low-efficiency cultivar identified a single nucleotide polymorphism (SNP) in PHYTOCHROME A SIGNAL TRANSDUCTION 1 (CaPAT1) that determines shoot regeneration efficiency. The T478C SNP in the high-efficiency cultivar converts a stop codon into an Arg codon, leading to translational read-through into the neighboring gene and forming an intact GRAS domain. This SNP-mediated formation of full-length CaPAT1 is essential for its dimerization. Notably, the overexpression of CaPAT1T478C in multiple low-efficiency cultivars, including both hot and bell peppers, significantly improved both shoot regeneration and transformation efficiency in the transformed T0 generation. These findings demonstrate the pivotal role of CaPAT1 in enhancing shoot regeneration and provide a robust strategy to overcome recalcitrance in pepper.

plant biology↗

bioRxiv2026

De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infants, the elderly, and the immunocompromised. Although stabilized full-length pre-fusion (pre-F) protein vaccines are promising, enhanced respiratory disease (ERD) remains a critical safety concern. Here, we used artificial intelligence to design a de novo immuno-focused antigen that structurally preserves the RSV F head region containing critical neutralising epitopes-- site O, II and V-while replacing the non-neutralising stem with a computationally designed scaffold to minimise immunopathological risk. The lead candidate, aRF6, elicited robust protective immunity against RSV in mice and similar immunogenicity in non-human primates without detectable toxicity. Importantly, in stringent ERD-promoting models, aRF6 induced minimal pulmonary pathology and markedly attenuated Th2-biased cytokine responses, outperforming formalin-inactivated RSV and full-length-stabilized pre-F. The results of cryoelectron microscopy confirmed that the aRF6 structure precisely matched the computational predictions. These results demonstrated that computationally designed de novo immuno-focused antigens can yield safe and effective RSV vaccines, thereby providing a rational framework for next-generation vaccine development.

microbiology↗

bioRxiv2026

Quantitative Optimization of Sensitivity and Specificity in Targeted and Whole-Exome Sequencing Using Reference-Standard DNA Mixtures

BackgroundWe previously developed a benchmarking strategy using mixtures of homozygote and heterozygote DNAs as reference standards to simultaneously assess sensitivity and false positive (FP) error rates in targeted next-generation sequencing (T-NGS) and whole-exome sequencing (WES), revealing substantial variability across commercial platforms. However, optimal analytic conditions for clinical application remain undefined. MethodsWe systematically evaluated multiple sequencing kits and bioinformatics pipelines across various variant allele fraction (VAF) thresholds to identify conditions that maximize both sensitivity and specificity. Recurrent error-prone alleles were defined and filtered to enhance specificity. ResultsOptimal performance was achieved using the DRAGEN pipeline with recurrent FP allele filtering. For T-NGS, a 1% VAF cutoff yielded a 95% detection threshold of 2.99% and 1.21 FPs per megabase (FP/Mb); for WES, a 2% cutoff yielded a 95% threshold of 5.02% and 1.15 FP/Mb. These settings improved sensitivity >3-fold and reduced FP rates >96% versus suboptimal pipelines. Notably, VAF thresholds flattened sensitivity differences across platforms, obscuring key performance disparities--challenging assumptions that T-NGS is inherently more sensitive than WES. In-house and conventional pipelines undercalled up to 10% of true variants. Restricting reporting of 1-4% VAF variants to [~]1,000 predefined actionable sites enabled recovery of clinically relevant mutations while reducing FP risk >99%. ConclusionsThis study provides a quantitative framework for optimizing NGS performance. Our findings support actionable strategies to improve diagnostic accuracy in clinical genomics through tailored pipeline selection, VAF thresholding, and artifact filtering.

bioinformatics↗

bioRxiv2025

Genome-wide overexpression screen reveals a novel transcription termination factor in Trypanosoma brucei

Trypanosoma brucei is a protozoan parasite that causes African trypanosomiasis. Understanding essential cellular processes in T. brucei can provide insights into parasite-specific vulnerabilities. We therefore screened for genes whose overexpression impaired parasite growth. Three top-ranking candidates were confirmed to inhibit T. brucei growth upon overexpression. Among them, TbFOP, a previously uncharacterized protein, exhibited distinct phenotypes beyond growth inhibition. TbFOP overexpression caused severe cell-cycle defects, substantially increasing the proportion of sub-G1 cells lacking nuclear DNA. Transcriptome analysis revealed widespread transcriptional dysregulation following TbFOP overexpression. Specifically, antisense transcript levels substantially increased near transcription termination sites (TTSs) across the genome. TbFOP overexpression also increased the expression of normally silent variant surface glycoprotein (VSG) genes across multiple genomic contexts. These phenotypes resemble those observed in trypanosome mutants lacking TTS-associated chromatin marks, including two histone variants and base J, a kinetoplastid-specific DNA modification. The preferential effects at TTSs and VSG loci raise the possibility that TbFOP overexpression interferes with chromatin-associated transcriptional regulation at specific genomic regions. These findings demonstrate that TbFOP overexpression profoundly affects transcription, cell-cycle progression, and parasite growth.

molecular biology↗

bioRxiv2025

Why do some predicted protein structures fold poorly? Benchmarking AlphaFold, ESMFold, and Boltz in maize

Protein structure prediction tools have significantly reduced the time and cost to generate protein structures and accelerated protein discovery and design. However, plant proteins are underrepresented in sequence and structural datasets used to train these programs. To quantify the downstream impact of this deficiency, we benchmarked five structure-prediction programs (AlphaFold 2, AlphaFold 3, ESMFold, Boltz-1, and Boltz-2) across 417 well-characterized Zea mays genes. These "classical" genes represent a set of well-studied genes with known genetic and phenotypic effects. We generated structures for each gene using these programs and compared how sequence, structural, and evolutionary conservation impacted the structures confidence and geometric features. Proteins lacking conserved sequence and/or structural domains had on average 25% to 43% lower confidence scores than proteins having both domains. Proteome-wide phylostratigraphy revealed that species-specific proteins had substantially lower confidence scores than proteins conserved amongst angiosperms and Eukaryotes. Boltz-1 and ESMFold structures had the highest occurrence of structures with severe geometry issues, including overlapping atoms and unlikely bond angles. We also compared computational and experimental alignments of Arabidopsis, maize, rice, wheat, and soybean proteins from the Protein Data Bank and identified structures showing incongruences with experimental data. This study challenges the assertion that protein folding has been completely solved, and urges more investigation into benchmarking and standardized evaluation frameworks to improve model performance and assessment in agricultural crops.

bioinformatics↗

bioRxiv2025

FERONIA defines intact tissue boundaries through cuticle development

Plant cuticle is the first hydrophobic barrier between the epidermis and the environment. Upon wounding, damaged tissues undergo healing processes that involve cuticle or callus formation at the wound site. However, signaling pathways that initiate cuticle development and callus formation in the wound-proximal region are still poorly understood. Here, we reveal that the FERONIA receptor-like kinase facilitates cuticle development in the epidermis and FER-mediated cuticle formation limits the propagation of wound-induced reactive oxygen species (ROS), which trigger callus formation. Cuticle defects stimulate NADPH oxidase-dependent ROS production, which leads to unrestricted callus formation. However, the cuticle formed in mesophyll cells in the vicinity of the wound suppresses ROS propagation, thereby preventing unorganized callus formation beyond the wound-proximal site and activating programmed cell death adjacent to the wound. These findings provide valuable insights into cuticle development in aerial tissues and its defensive function for preserving the integrity of undamaged regions.

plant biology↗

bioRxiv2025

A method for efficient, rapid, and minimally invasive implantation of individual non-functional motes with penetrating subcellular-diameter carbon fiber electrodes into rat cortex

ObjectiveDistributed arrays of wireless neural interfacing chips with 1-2 channels each, known as "neural dust", could enhance brain machine interfaces (BMIs) by removing the wired connection through the scalp and increasing biocompatibility with their submillimeter size. Although several approaches for neural dust have emerged, a procedure for implanting them in batches that builds upon the safety and performance of currently used electrodes remains to be demonstrated. ApproachHere, we demonstrate the feasibility of implanting batches of wireless motes that rest on the cortical surface with carbon fiber electrodes of subcellular diameter (6.8-8.4 {micro}m) that penetrate to a target brain depth of 1 mm without insertion aids. To simulate their implantation, we assembled more than 230 mechanically equivalent motes and affixed them to insertion tools with polyethylene glycol (PEG), a quickly dissolvable and biocompatible material. Then, we implanted mote grids of multiple configurations into rat cortex in vivo and evaluated insertion success and their arrangement on the brain surface using photos and videos captured during their implantation. Main ResultsWhen placing motes onto the insertion device, we found that they aggregated in molten PEG such that the array pitch was only 5% wider than the dimensions of the mote bases themselves (240 x 240 {micro}m). Overall, we found that motes with this arrangement could be inserted into rat cortex with a high success rate, as 171/186 (92%) motes in 4x4 (N=4) and 5x5 (N=5) square grid configurations were successfully inserted using the insertion device alone. After implantation, measurements of how much motes tilted (22{+/-}9{degrees}, [X]{+/-}S) and had been displaced relative to their original positions were smaller than those measured for devices implanted inside the brain in the literature. SignificanceCollectively, these data establish the viability of safely implementing motes with ultrasmall electrodes and epicortically-situated chips for use in future BMIs.

bioengineering↗

bioRxiv2024

Application of RFdiffusion to predict interspecies protein-protein interactions between fungal pathogens and cereal crops

Plant pathogenic fungi secrete small proteins known as effectors which help overcome the plant defense response and cause disease. The concept of effector-triggered immunity in plants evolved from the "gene for gene hypothesis" which describes plant resistance or susceptibility to plant pathogens based on interspecies protein-protein interactions (PPIs) between plant-derived resistance (R) genes and pathogen-derived avirulence (Avr) effector genes. Understanding the molecular interactions mediating these host-pathogen interactions in effector-triggered immunity is thus essential to managing fungal disease. In silico methods of predicting interspecies PPIs have been heavily studied to identify target genes for crop resistance. But conventional sequence-based homology methods (i.e., interlog, domain-based inference) for predicting interspecies PPIs are not as powerful as methods that also incorporate structural homology. The objective of this study was to develop a computational workflow to predict PPIs between pathogenic fungi and their cereal hosts by leveraging recent advances in artificial intelligence and structural biology. This workflow proposes the use of a generative model, RFdiffusion, to predict the structure of truncated segments of proteins likely to bind to query effector proteins. The binder structures were filtered based on the number of contacts at the effectors known binding residues. Acceptable structures were then input into FoldSeek to search the host proteome for host proteins containing similar sub-structures. Experimentally-validated PPIs between rice (Oryzae sativa cv. Japonica) and rice blast fungus (Magnaporthe oryzae) were used for workflow validation. The effects of binder length and the binding residues mode of action (i.e., residues at active/substrate recognition sites) on the binder quality and presumptive host protein matches were explored. Ultimately, 11 out of 14 experimentally validated PPIs were recovered computationally, indicating a high recall (>78%) for the workflow. The shorter binders recovered most of the PPIs, but may have produced the most false positives, as functional analyses revealed that these host proteins displayed a wide variety of functions. These findings emphasize that subject matter expertise is still required to decipher the prediction results. Yet, this framework for elucidating interactions between fungal pathogens and host proteins could provide valuable insight into mechanisms of susceptibility or resistance at a scale friendly to limited computational resources, and facilitate the development of control strategies that reduce crop diseases.

plant biology↗

bioRxiv2024

The Fusarium graminearum effector protease FgTPP1 suppresses immune responses and facilitates Fusarium Head Blight Disease

Most plant pathogens secrete effector proteins to circumvent host immune responses, thereby promoting pathogen virulence. One such pathogen is the fungus Fusarium graminearum, which causes Fusarium Head Blight (FHB) disease on wheat and barley. Transcriptomic analyses revealed that F. graminearum expresses many candidate effector proteins during early phases of the infection process, some of which are annotated as proteases. However, the contributions of these proteases to virulence remains poorly defined. Here, we characterize a F. graminearum endopeptidase, FgTPP1 (FGSG_11164), that is highly upregulated during wheat spikelet infection and is secreted from fungal cells. To elucidate the potential role of FgTPP1 in F. graminearum virulence, we generated FgTPP1 deletion mutants ({Delta}Fgtpp1) and performed FHB infection assays. While the number of completely bleached spikes infected by F. graminearum wild-type reached 50% of total infected spikes, the number of fully bleached spikes infected by{Delta} Fgtpp1 mutants was 25%, suggesting FgTPP1 contributes to fungal virulence. Transient expression of green fluorescent protein (GFP)-tagged FgTPP1 revealed that FgTPP1 localizes, in part, to chloroplasts and attenuates chitin-mediated activation of mitogen-activated protein kinase (MAPK) signaling, reactive oxygen species production, and cell death induced by an autoactive disease resistance protein when expressed in planta. Notably, the FgTPP1 protein is conserved across the Ascomycota phylum, making it a core effector among ascomycete plant pathogens. These properties make FgTPP1 an ideal candidate for decoy substrate engineering, with the goal of engineering resistance to FHB, and likely other crop diseases caused by ascomycete fungi.

plant biology↗

bioRxiv2024

STK19 facilitates the clearance of lesion-stalled RNAPII during transcription-coupled DNA repair

Transcription-coupled DNA repair (TCR) removes bulky DNA lesions impeding RNA polymerase II (RNAPII) transcription. Recent studies have outlined the stepwise assembly of TCR factors CSB, CSA, UVSSA, and TFIIH around lesion-stalled RNAPII. However, the mechanism and factors required for the transition to downstream repair steps, including RNAPII removal to provide repair proteins access to the DNA lesion, remain unclear. Here, we identify STK19 as a new TCR factor facilitating this transition. Loss of STK19 does not impact initial TCR complex assembly or RNAPII ubiquitylation but delays lesion-stalled RNAPII clearance, thereby interfering with the downstream repair reaction. Cryo-EM and mutational analysis reveal that STK19 associates with the TCR complex, positioning itself between RNAPII, UVSSA, and CSA. The structural insights and molecular modeling suggest that STK19 positions the ATPase subunits of TFIIH onto DNA in front of RNAPII. Together, these findings provide new insights into the factors and mechanisms required for TCR.

molecular biology↗

bioRxiv2024

The BMP2 prodomain promotes dimerization and cleavage of BMP6 homodimers and BMP2/6 heterodimers in vivo

Bone morphogenetic protein 2 (BMP2) and BMP6 are key regulators of systemic iron homeostasis. All BMPs are generated as inactive precursor proteins that dimerize and are cleaved to generate the bioactive ligand and inactive prodomain fragments, but nothing is known about how BMP2 or BMP6 homodimeric or heterodimeric precursor proteins are proteolytically activated. Here, we conducted in vitro cleavage assays, which revealed that BMP2 is sequentially cleaved by furin at two sites, initially at a site upstream of the mature ligand, and then at a site adjacent to the ligand domain, while BMP6 is cleaved at a single furin motif. Cleavage of both sites of BMP2 is required to generate fully active BMP2 homodimers when expressed in Xenopus embryos or liver endothelial cells, and fully active BMP2/6 heterodimers in Xenopus. We analyzed BMP activity in Xenopus embryos expressing chimeric proteins consisting of the BMP2 prodomain and BMP6 ligand domain, or vice versa. We show that the prodomain of BMP2 is necessary and sufficient to generate active BMP6 homodimers and BMP2/6 heterodimers, whereas the BMP6 prodomain cannot generate active BMP2 homodimers or BMP2/6 heterodimers. We examined BMP2 and BMP6 homodimeric and heterodimeric ligands generated from native and chimeric precursor proteins expressed in Xenopus embryos. Whereas native BMP6 is not cleaved when expressed alone, it is cleaved to generate BMP2/6 heterodimers when co-expressed with BMP2. Furthermore, BMP2-6 chimeras are cleaved to generate BMP6 homodimers. Our findings reveal an important role for the BMP2 prodomain in dimerization and proteolytic activation of BMP6.

cell biology↗

bioRxiv2024

Fusarium Protein Toolkit: AI-powered tools to combat fungal threats to agriculture

BackgroundThe fungal genus Fusarium poses significant threats to food security and safety worldwide because it consists of numerous species that cause destructive diseases in crops, as well as mycotoxin contamination. The adverse effects of climate change are exacerbating some existing threats and causing new problems. These challenges highlight the need for innovative solutions, including the development of advanced tools to identify targets to control crop diseases and mycotoxin contamination incited by Fusarium. DescriptionIn response to these challenges, we developed the Fusarium Protein Toolkit (FPT, https://fusarium.maizegdb.org/), a web-based tool that allows users to interrogate the structural and variant landscape within the Fusarium pan-genome. FPT offers a comprehensive approach to understanding and mitigating the detrimental effects of Fusarium on agriculture. The tool displays both AlphaFold and ESMFold-generated protein structure models from six Fusarium species. The structures are accessible through a user-friendly web portal and facilitate comparative analysis, functional annotation inference, and identification of related protein structures. Using a protein language model, FPT predicts the impact of over 270 million coding variants in two of the most agriculturally important species, Fusarium graminearum, which causes Fusarium head blight and trichothecene mycotoxin contamination of cereals, and F. verticillioides, which causes ear rot and fumonisin mycotoxin contamination of maize. To facilitate the assessment of naturally occurring genetic variation, FPT provides variant effect scores for proteins in a Fusarium pan-genome constructed from 22 diverse species. The scores indicate potential functional consequences of amino acid substitutions and are displayed as intuitive heatmaps using the PanEffect framework. ConclusionFPT fills a knowledge gap by providing previously unavailable tools to assess structural and missense variation in proteins produced by Fusarium, the most agriculturally important group of mycotoxin-producing plant pathogens. FPT will deepen our understanding of pathogenic mechanisms in Fusarium, and aid the identification of genetic targets that can be used to develop control strategies that reduce crop diseases and mycotoxin contamination. Such targets are vital to solving the agricultural problems incited by Fusarium, particularly evolving threats affected by climate change. By providing a novel approach to interrogate Fusarium-induced crop diseases, FPT is a crucial step toward safeguarding food security and safety worldwide.

bioinformatics↗

bioRxiv2024

Insects visit Fusarium xyrophilum pseudoflowers on the host Xyris surinamensis (Xyridaceae) and carry fungal DNA on their bodies

The fungus Fusarium xyrophilum produces flower-like structures (i.e., pseudoflowers) that were recently discovered on yellow-eyed grasses (Xyris spp.) in Guyana. It is unknown whether these pseudoflowers, which are composed entirely of fungal tissue, are true mimics that attract insects as a means of fungal dispersal. We evaluated the potential of F. xyrophilum to affect insect visitation patterns to flowers and pseudoflowers by 1) documenting insect visitation to X. surinamensis in Guyana, 2) measuring the presence of F. xyrophilum DNA on insects, and 3) evaluating fluorescence and volatile production on flowers and pseudoflowers. We report for the first time Vespidae, Formicidae, Salticidae, Acrididae, and Tetrigidae visiting Xyris. Diverse insects, including Conocephalini spp. (meadow katydids; Tettigoniidae), Camponotus spp. (carpenter ants; Formicidae), and a Geometridae sp. (geometer moths) were found to visit flowers and pseudoflowers. Fusarium xyrophilum DNA was detected on 3/12 (25%) of captured insect bodies using conventional and quantitative PCR. Volatiles produced in the field by pseudoflowers and flowers were similar, except for the presence of a sesquiterpene, putatively identified here as -gurjunene, which was detected both in F. xyrophilum pure cultures and field-collected pseudoflower samples, but not from flowers. The production of this sesquiterpene by F. xyrophilum and the fluorescence of X. surinamensis peduncles represent potential signals involved in insect attraction for this system. These observations, along with the overlap in insect visitors of flowers and pseudoflowers and the detection of F. xyrophilum DNA on insect bodies, are consistent with insect visitors being vectors of Xyris pollen and F. xyrophilum propagules between host plants.

ecology↗

bioRxiv2024

Genome-informed trophic classification and functional characterization of virulence proteins from the maize tar spot pathogen Phyllachora maydis

Phyllachora maydis is an ascomycete foliar fungal pathogen and the causal agent of tar spot in maize. Though P. maydis is considered one of the most economically important foliar pathogens of maize, our general knowledge of the trophic lifestyle and functional role of effector proteins from this fungal pathogen remains limited. Here, we utilized a genome-informed approach to predict the trophic lifestyle of P. maydis and functionally characterized a subset of candidate effectors from this fungal pathogen. Leveraging the most recent P. maydis genome annotation and the CATAStrophy pipeline, we show this fungal pathogen encodes a predicted Carbohydrate-active enzymes (CAZymes) repertoire consistent with that of biotrophs (monomertrophs). To investigate fungal pathogenicity, we selected eighteen candidate effector proteins that were previously shown to be expressed during primary disease development. We assessed whether these putative effectors share predicted structural similarity with other characterized fungal effectors and determined whether any suppress plant immune responses. Using AlphaFold2 and Foldseek, we showed one candidate effector, PM02_g1115, adopts a predicted protein structure similar to that of an effector from Verticillium dahlia. Furthermore, transient expression of candidate effector-fluorescent protein fusions in Nicotiana benthamiana revealed that most effector proteins localize to both the nucleus and the cytosol. Importantly, three candidate effectors consistently attenuated chitin-mediated reactive oxygen species production in N. benthamiana. Collectively, these results presented herein provide valuable insights into the predicted trophic lifestyle and putative functions of effectors from P. maydis and will likely stimulate continued research to elucidate the molecular mechanisms used by P. maydis to induce tar spot.

plant biology↗

bioRxiv2023

Chromatin remodeling of histone H3 variants underlies epigenetic inheritance of DNA methylation

Epigenetic inheritance refers to the faithful replication of DNA methylation and histone modification independent of DNA sequence. Nucleosomes block access to DNA methyltransferases, unless they are remodeled by DECREASE IN DNA METHYLATION1 (DDM1Lsh/HELLS), a Snf2-like master regulator of epigenetic inheritance. We show that DDM1 activity results in replacement of the transcriptional histone variant H3.3 for the replicative variant H3.1 during the cell cycle. In ddm1 mutants, DNA methylation can be restored by loss of the H3.3 chaperone HIRA, while the H3.1 chaperone CAF-1 becomes essential. The single-particle cryo-EM structure at 3.2 [A] of DDM1 with a variant nucleosome reveals direct engagement at SHL2 with histone H3.3 at or near variant residues required for assembly, as well as with the deacetylated H4 tail. An N-terminal autoinhibitory domain binds H2A variants to allow remodeling, while a disulfide bond in the helicase domain is essential for activity in vivo and in vitro. We show that differential remodeling of H3 and H2A variants in vitro reflects preferential deposition in vivo. DDM1 co-localizes with H3.1 and H3.3 during the cell cycle, and with the DNA methyltransferase MET1Dnmt1. DDM1 localization to the chromosome is blocked by H4K16 acetylation, which accumulates at DDM1 targets in ddm1 mutants, as does the sperm cell specific H3.3 variant MGH3 in pollen, which acts as a placeholder nucleosome in the germline and contributes to epigenetic inheritance.

molecular biology↗

bioRxiv2023

XPA tumor variants lead to defects in NER that sensitize cells to cisplatin

Nucleotide excision repair (NER) neutralizes treatment with platinum (Pt)-based chemotherapy by removing Pt lesions from DNA. Previous study has identified that missense mutation or loss of either of the NER genes Excision Repair Cross Complementation Group 1 and 2 (ERCC1 and ERCC2) leads to improved patient outcomes after treatment with Pt-based chemotherapies. Although most NER gene alterations found in patient tumors are missense mutations, the impact of such mutations in the remaining nearly 20 NER genes is unknown. Towards this goal, we previously developed a machine learning strategy to predict genetic variants in an essential NER scaffold protein, Xeroderma Pigmentosum Complementation Group A (XPA), that disrupt repair activity on a UV-damaged substrate. In this study, we report in-depth analyses of a subset of the predicted NER-deficient XPA variants, including in vitro analyses of purified recombinant protein and cell-based assays to test Pt agent sensitivity in cells and determine mechanisms of NER dysfunction. The most NER deficient variant Y148D had reduced protein stability, weaker DNA binding, disrupted recruitment to damage, and degradation resulting from tumor missense mutation. Our findings demonstrate that tumor mutations in XPA impact cell survival after cisplatin treatment and provide valuable mechanistic insights to further improve variant effect prediction efforts. More broadly, these findings suggest XPA tumor variants should be considered when predicting patient response to Pt-based chemotherapy. SignificanceA destabilized, readily degraded tumor variant identified in the NER scaffold protein XPA sensitizes cells to cisplatin, suggesting that XPA variants can be used to predict response to chemotherapy.

cancer biology↗