PLoS Biology最新文献

Hijacking of host DNA damage repair (DDR) pathways to facilitate virus replication is broadly conserved amongst diverse viral families. It has been well established that the HIV-1 accessory protein Vpr induces constitutive DDR signaling and G2/M cell cycle arrest, but the virologic function of this activity remains unclear. Here, we use a combination of functional, pharmacologic, biochemical, and genetic approaches to establish that virion-associated and de novo Vpr proteins induce DDR responses that trigger global epigenetic remodeling and activation of transcription programs to enhance HIV-1 promoter activity during acute infection and reactivation from latency. Functional, genetic, and bimolecular fluorescence complementation experiments reveal that Vpr segregates into two functionally discrete pools-a multimeric pool in the nucleus associated with chromatin and a monomeric pool in the cytoplasm associated with a host E3-ubiquitin ligase. Vpr-induced DDR and epigenetic remodeling activities are present in common HIV-1 subtypes circulating globally and in patient-derived isolates.

The clinically significant pathogen Clostridioides difficile lacks the transmembrane nutrient germinant receptors conserved in almost all spore-forming bacteria. Instead, C. difficile initiates spore germination using a unique mechanism that requires two signals: a bile acid germinant and a co-germinant, which can be either an amino acid or a divalent cation. While two soluble pseudoproteases, CspC and CspA, were initially identified as the germinant and co-germinant receptors, respectively, in C. difficile, we previously identified residues in an unstructured region of CspC that regulate the sensitivity of C. difficile spores to both signals. However, the mechanism by which CspC transduces these signals remained unclear. Here, we demonstrate that CspC forms a stable complex with CspA and determine the crystal structure of the CspC:CspA heterodimer. The structure reveals extensive interactions along the binding interface, including direct interactions between the unstructured region of CspC and CspA. Using structure-function analyses, we identify CspC:CspA interactions that regulate the sensitivity of C. difficile spores to germinant signals and show that CspA regulates the response of C. difficile to not only co-germinant but also germinant signals. While we show that CspA can form a homodimer and determine its crystal structure, CspA homodimerization appears unimportant for C. difficile spore germination. Collectively, our analyses establish the CspC:CspA heterodimer, rather than its individual constituents, as a critical signaling node for sensing both germinant and co-germinant signals. They also suggest a new mechanistic model for how C. difficile transduces germinant signals, which could guide the development of therapeutics against this important pathogen.

Differences in immunity in males and females throughout the life span manifest as differences in susceptibility to chronic diseases, infections, cancer, and responses to therapeutic interventions such as immunomodulatory drugs and vaccines. Sex steroids and sex chromosome-linked immune response genes have major roles in driving these differences, but the cells and signaling pathways governing these are disease-specific and often not known. Such knowledge is required to better understand sex differences in disease incidence and clinical course, and to provide treatments tailored to sex-divergent pathways underlying specific diseases. This Essay explores the major areas where further research is required to determine sex-differential mechanisms.

Antimicrobial resistance (AMR) is a global health threat emerging through microbe adaptation, driven by genetic variation, genome plasticity or epigenetic processes. In this study, we investigated how the Mucor circinelloides species complex adapts to the antifungal natural product FK506, which binds to FKBP12 and inhibits calcineurin-dependent hyphal growth. In Mucor bainieri, most FK506-resistant isolates (90%) were found to be unstable and transient, readily reverting to being drug sensitive when passaged without drug, and with no associated DNA mutations. In half of the isolates (50%), FK506-resistance was conferred by RNAi-dependent epimutation in which small interfering RNAs (siRNAs) silenced the fkbA encoding FKBP12 post-transcriptionally. In contrast, most of the remaining FK506-resistant isolates (40%) were found to have undergone heterochromatin-mediated silencing via H3K9 dimethylation, transcriptionally repressing fkbA and neighboring genes. In these heterochromatic epimutants, only minimal enrichment of siRNA to the fkbA locus was observed, but in three of the four examples, siRNA was significantly enriched at a locus distant from fkbA. A similar mechanism operates in Mucor atramentarius, where FK506 resistance was mediated by ectopic heterochromatin silencing of fkbA and associated genes with siRNA spreading across the region. Heterochromatin-mediated fkbA epimutants exhibited stability during in vivo infection, suggesting epimutation could impact pathogenesis. These findings reveal that antifungal resistance arising through distinct, transient epimutation pathways involving RNAi or heterochromatin, highlighting adaptive AMR strategies employed by ubiquitous eukaryotic microbes.

[This corrects the article DOI: 10.1371/journal.pbio.3002814.].

The superficial white matter (SWM), immediately beneath the cortical mantle, is thought to play a major role in cortico-cortical connectivity as well as large-scale brain function. Yet, this compartment remains rarely studied due to its complex organization. Our objectives were to develop and disseminate a robust computational framework to study SWM organization based on 3D histology and high-field 7T MRI. Using data from the BigBrain and Ahead 3D histology initiatives, we first interrogated variations in cell staining intensities across different cortical regions and different SWM depths. These findings were then translated to in vivo 7T quantitative myelin-sensitive MRI, including T1 relaxometry (T1 map) and magnetization transfer saturation (MTsat). As indicated by the statistical moments of the SWM intensity profiles, the first 2 mm below the cortico-subcortical boundary were characterized by high structural complexity. We quantified SWM microstructural variation using a nonlinear dimensionality reduction method and examined the relationship of the resulting microstructural gradients with indices of cortical geometry, as well as structural and functional connectivity. Our results showed correlations between SWM microstructural gradients, as well as curvature and cortico-cortical functional connectivity. Our study provides novel insights into the organization of SWM in the human brain and underscores the potential of SWM mapping to advance fundamental and applied neuroscience research.

Neurodegenerative diseases are often associated with oxidative stress, and while probiotics may influence neuronal health, the underlying mechanisms remain poorly understood. Using the sod-1 A4VM amyotrophic lateral sclerosis (ALS) model in Caenorhabditis elegans, we investigated the protective effects of the probiotic Enterococcus faecium against oxidative stress-induced neurodegeneration. Animals fed E. faecium showed reduced motor neuron degeneration under oxidative stress compared to those maintained on a standard Escherichia coli diet. Transcriptome analysis revealed a significant enrichment of oxidoreductase genes, including cytochrome P450 (cyp) genes. RNAi-mediated knockdown of cyp genes impaired E. faecium-mediated neuroprotection, and this loss correlated with increased reactive oxygen species (ROS) levels. We identified the conserved nuclear hormone receptor NHR-86 as a key regulator of cyp gene expression and neuroprotection. Loss of nhr-86 abolished the probiotic's protective benefits, while transgenic expression of nhr-86 restored cyp induction and neuronal resilience. Importantly, intestinal expression of NHR-86 was sufficient to restore CYP induction and neuronal resilience, whereas neuronal knockdown had no effect, indicating that gut NHR-86 activity is essential for this protective pathway. These findings reveal a previously uncharacterized NHR-CYP regulatory axis activated by an intestinal probiotic, highlighting a mechanistic link between microbial signals and host neuroprotection.

Energy metabolism involves a series of biochemical reactions that generate ATP, utilizing substrates such as glucose and oxygen supplied via cerebral blood flow. Energy substrates are metabolized in multiple interrelated pathways that are cell- and organelle-specific. These pathways not only generate energy but are also fundamental to the production of essential biomolecules required for neuronal function and survival. How these complex biochemical processes are spatially distributed across the cortex is integral to understanding the structure and function of the brain. Here, using curated gene sets and whole-brain transcriptomics, we generate maps of five fundamental energy metabolic pathways: glycolysis, pentose phosphate pathway, tricarboxylic acid cycle, oxidative phosphorylation and lactate metabolism. We find consistent divergence between primarily energy-producing and anabolic pathways, particularly in unimodal sensory cortices. We then explore the spatial alignment of these maps with multi-scale structural and functional attributes, including metabolic uptake, neurophysiological oscillations, cell type composition, laminar organization and macro-scale connectivity. We find that energy pathways exhibit unique relationships with the cellular and laminar organization of the cortex, pointing to the higher energy demands of large pyramidal cells and efferent projections. Finally, we show that metabolic pathways exhibit distinct developmental trajectories from the fetal stage to adulthood. The primary energy-producing pathways peak in childhood, while the anabolic pentose phosphate pathway shows greater prenatal expression and declines throughout life. Together, these results highlight the rich biochemical complexity of energy metabolism organization in the brain.

[This corrects the article DOI: 10.1371/journal.pbio.3003413.].

Retinal organoids have become important models for studying development and disease, yet stochastic heterogeneity in the formation of cell types, tissues, and phenotypes remains a major challenge. This limits our ability to precisely experimentally address the early developmental trajectories towards these outcomes. Here, we utilize deep learning to predict the differentiation path and resulting tissues in retinal organoids well before they become visually discernible. Our approach effectively bypasses the challenge of organoid-related heterogeneity in tissue formation. For this, we acquired a high-resolution time-lapse imaging dataset comprising about 1,000 organoids and over 100,000 images enabling precise temporal tracking of organoid development. By combining expert annotations with advanced image analysis of organoid morphology, we characterized the heterogeneity of the retinal pigmented epithelium (RPE) and lens tissues, as well as global organoid morphologies over time. Using this training set, our deep learning approach accurately predicts the emergence and size of RPE and lens tissue formation as well as similarities in overall organoid morphology on an organoid-by-organoid basis at early developmental stages, refining our understanding of when early lineage decisions are made. This approach advances knowledge of tissue and phenotype decision-making in organoid development and can inform the design of similar predictive platforms for other organoid systems, paving the way for more standardized and reproducible organoid research. Finally, it provides a direct focus on early developmental time points for in-depth molecular analyses, alleviated from confounding effects of heterogeneity.