Biology subjects

Luo, Z.

Publications and source records attributed to Luo, Z..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Intragenomic variants of a putative effector drive early-stage infection in a broad host-range rust fungus

Rust fungi are pathogens that impact plants of environmental, agricultural, cultural, and economic importance. Their mechanisms of pathogenicity are not well-understood but are likely governed by effectors, secreted proteins that manipulate host cellular processes to facilitate infection and suppress immune responses. We sought to understand how three effector candidates (EFC1, EFC2, and EFC3) expressed in the first stages of Austropuccinia psidii (myrtle rust) infection influence pathogenicity. We experimentally tested gene function through application of double-stranded RNA (dsRNA) and characterised the genomic landscape of putative effectors expressed during infection to assess whether putative effectors are needed for infection, and whether they are under selection pressure. One of the three screened candidates, EFC1, met our criteria of an effector in that it was predicted to be secreted, and was needed to cause but not maintain infection. We identified that this effector belongs to a gene family of intragenomic variants in tandem repeats flanked by transposable elements. Single nucleotide polymorphisms among these variants have signatures of non-neutral selection. This effector has predicted structural homology to a glycosaminoglycan-binding domain and may have a role in pectin or chitin-binding. We hypothesise that intragenomic variability in this family of effector genes facilitates host-range versatility in the A. psidii-Myrtaceae pathosystem.

microbiology↗

bioRxiv2024

PTBP1 is upregulated by Zika virus infection via HIF-1alpha signal and hijacks NS1 protein to induce NS1 degradation to restrain viral replication

Zika virus (ZIKV), belonging to the Flaviviridae family, has been a severe threat to human health since the worldwide outbreak. ZIKV is capable of inducing fetal microcephaly, Guillain-Barre syndrome, and other serious neurological complications. Polypyrimidine tract-binding protein 1 (PTBP1) is a key member of the heterogeneous nuclear ribonucleoproteins (hnRNPs) family, functioning in selective mRNA splicing and gene expression regulation. Our previous study has indicated that the expression of PTBP1 increases in astrocytes upon ZIKV infection, yet the precise regulatory mechanisms underlying its role in viral replication remain elusive. In this study, we elucidated the specific pathway by which ZIKV upregulates PTBP1 expression through the activation of Hypoxia-inducible factor-1 (HIF-1) expression. Further investigation revealed that overexpression of PTBP1 effectively inhibits viral replication, whereas knockdown of PTBP1 significantly enhances viral replication. Mechanistically, using co-immunoprecipitation assays for protein interaction screening, we identified an interaction between PTBP1 and ZIKV non-structural protein NS1. Detailed studies demonstrated that PTBP1 bound and colocalized with NS1 to lead to the degradation of NS1 protein via a lysosomal pathway. Collectively, our findings unveil a novel mechanism underlying that ZIKV infection induces the expression of PTBP1 via the HIF-1 pathway, subsequently the accumulated PTBP1 binds to ZIKV NS1 protein to promote NS1 degradation, thereby effectively inhibiting viral replication. The study illustrates a distinct restricted cellular factor that regulates ZIKV replication, which provides a potential target for the control of the viral replication and pathogenesis during the ZIKV epidemic. ImportanceSince the outbreak of ZIKV infection among human in 2014, a Zika epidemic has caused Zika fever accompanied with fetal microcephaly, Guillain-Barre syndrome, and other neurological symptoms. Emerging evidence reveals that ZIKV infects astrocytes to specially induce the expression of polypyrimidine tract-binding protein 1 (PTBP1), one of hnRNPs members. However, the interplay between PTBP1 and ZIKV replication is highly concerned. Here, we uncover a distinct manner that ZIKV infection induces PTBP1 expression through the activation of hypoxia-inducible factor-1 (HIF-1) signal. Additionally, activation of HIF-1 signal hinders ZIKV replication relying on PTBP1 accumulation. Further investigations suggest that PTBP1 restrains ZIKV replication by interacting with ZIKV NS1 protein, thereby leading to the degradation of NS1 protein via a lysosomal pathway. Collectively, our findings illustrate a novel restricted cellular factor PTBP1 mediated by HIF-1 that regulates ZIKV replication, which provides a potential therapeutic target of the viral replication and pathogenesis against ZIKV pandemic.

microbiology↗

bioRxiv2024

PM2.5 from Automobile Exhaust Induces Apoptosis in Male Rat Germ Cells via the ROS-UPRmt Signaling Pathway

ObjectiveTo explore the underlying mechanism behind the fine particulate matters (PM2.5)-mediated regulation of reproductive function in male rats, and to determine the role of vitamins in this process. MethodsIn all, 32 male SD rats were randomized to a control cohort (normal saline), a Vit cohort (vitamin C at 100 mg/kg + vitamin E at 50 mg/kg), a PM2.5 cohort (PM2.5 10 mg/kg), and a PM2.5+Vit cohort (PM2.5 exposure + vitamin C at 100 mg/kg + vitamin E at 50 mg/kg), with eight rats in each cohort. After four weeks of exposure, mating experiments were carried out. Thereafter, rats were euthanized, and the testis and epididymis tissues were excised for hematoxylin-eosin (HE) staining and sperm quality analysis. Apoptosis of testis tissues was quantified via a terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) assay. Moreover, the testicular oxidative stress (OS)-, apoptosis- and mitochondrial unfolded protein response (UPRmt)-related essential protein expressions were measured via western blotting (WB). ResultsAfter PM2.5 exposure, the sperm count and motility decreased, while sperm abnormality and the apoptosis index increased. HE staining showed that the number of spermatogenic cells decreased. WB showed that the PM2.5 group had decreased expressions of superoxide dismutase (SOD), nuclear factor E2-related factor 2 (Nrf2), and B-cell lymphoma-2 (Bcl-2) (p < 0.05), increased expressions of malondialdehyde (MDA), Bcl-2 associated X protein (Bax), and Caspase3 (p < 0.05), and downregulated expressions of C/EBP homologous protein (CHOP), heat shock protein 60 (HSP60), and activating transcription factor 5 (ATF5) (p < 0.05). These were all reversed by vitamin intervention. ConclusionPM2.5 from automobile exhaust disrupts male reproductive function. A combination of vitamins may protect reproductive function via the reactive oxygen species (ROS)-UPRmt signaling pathway. HighlightsO_LIPM2.5 from vehicle exhaust can cause apoptosis of male germ cells. C_LIO_LIPM2.5 from vehicle exhaust induces germ cell apoptosis through the ROS-UPRmt signaling pathway. C_LIO_LICombined vitamin C and E can enhance UPRmt activity to alleviate the germ cell apoptosis caused by PM2.5 from vehicle exhaust. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/621651v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@d3f5edorg.highwire.dtl.DTLVardef@1b6daa1org.highwire.dtl.DTLVardef@1cba0b4org.highwire.dtl.DTLVardef@1a3c9f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

bioRxiv2024

Adiponectin Signaling Regulates Urinary Bladder Function by Blunting Smooth Muscle Purinergic Contractility

Lower urinary tract symptoms (LUTS) affect [~] 50% of the population aged >40 years and are strongly associated with obesity and metabolic syndrome. Adipose tissue plays a key role in obesity/metabolic syndrome by releasing adipokines that regulate systemic energy/lipid metabolism, insulin resistance, and inflammation. Adiponectin (ADPN), the most abundant adipokine, modulates energy/metabolism homeostasis through its insulin-sensitizing and anti-inflammatory effects. Human plasma ADPN levels are inversely associated with obesity and diabetes. The role of adipokines such as ADPN in the LUTS associated with obesity/metabolic syndrome remains unknown. We have tested such a possible role in a global ADPN knockout mouse model (Adpn-/-). Adpn-/- mice exhibited increased voiding frequency, small voids, and reduced bladder smooth muscle (BSM) contractility with absence of purinergic contraction. Molecular examination indicated significantly altered metabolic and purinergic pathways. The ADPN receptor agonist AdipoRon was found to abolish acute BSM contraction. Intriguingly, both AMPK activators and inhibitors also abolished BSM purinergic contraction. These data indicate the important contribution of a novel ADPN signaling pathway to the regulation of BSM contractility. Dysregulation of this ADPN signaling pathway might be an important mechanism leading to LUTS associated with obesity/metabolic syndrome. ARTICLE HIGHLIGHTSLower urinary tract symptom (LUTS) is strongly associated with obesity and metabolic syndrome, however, the underlying molecular mechanisms are missing. Dysregulation of adipokine signaling could be the link for this association. Whether adiponectin, the most abundant adipokine, plays a role in regulating bladder function and dysfunction. Mice null for adiponectin exhibited increased voiding frequency, small voids, and reduced bladder smooth muscle contractility, with corresponding metabolic and purinergic pathway changes. Dysregulation of adiponectin signaling might be an important mechanism leading to LUTS associated with obesity/metabolic syndrome.

physiology↗

bioRxiv2024

Spatiotemporal coordination of actin regulators generates invasive protrusions in cell-cell fusion

Invasive membrane protrusions play a central role in a variety of cellular processes. Unlike filopodia, invasive protrusions are mechanically stiff and propelled by branched actin polymerization. However, how branched actin filaments are organized to create finger-like invasive protrusions is unclear. Here, by examining the mammalian fusogenic synapse, where invasive protrusions are generated to promote cell membrane juxtaposition and fusion, we have uncovered the mechanism underlying invasive protrusion formation. We show that two nucleation promoting factors (NPFs) for the Arp2/3 complex, WAVE and N-WASP, exhibit different localization patterns in the protrusions. While WAVE is closely associated with the plasma membrane at the leading edge of the protrusive structures, N-WASP is enriched with WIP along the actin bundles in the shafts of the protrusions. During protrusion initiation and growth, the Arp2/3 complex nucleates branched actin filaments to generate low density actin clouds, in which the large GTPase dynamin organizes the new branched actin filaments into bundles, followed by actin-bundle stabilization by WIP, the latter functioning as a novel actin-bundling protein. Disrupting any of these components results in defective protrusions and failed myoblast fusion in cultured cells and mouse embryos. Taken together, our study has revealed the intricate spatiotemporal coordination between two NPFs and two actin-bundling proteins in building invasive protrusions at the mammalian fusogenic synapse, and has general implications in understanding invasive protrusion formation in cellular processes beyond cell-cell fusion.

cell biology↗

bioRxiv2024

Multi-View Integrative Approach For Imputing Short-Chain Fatty Acids and Identifying Key factors predicting Blood SCFA

Short-chain fatty acids (SCFAs) are the main metabolites produced by bacterial fermentation of dietary fiber within gastrointestinal tract. SCFAs produced by gut microbiotas (GMs) are absorbed by host, reach bloodstream, and are distributed to different organs, thus influencing host physiology. However, due to the limited budget or the poor sensitivity of instruments, most studies on GMs have incomplete blood SCFA data, limiting our understanding of the metabolic processes within the host. To address this gap, we developed an innovative multi-task multi-view integrative approach (M2AE, Multi-task Multi-View Attentive Encoders), to impute blood SCFA levels using gut metagenomic sequencing (MGS) data, while taking into account the intricate interplay among the gut microbiome, dietary features, and host characteristics, as well as the nuanced nature of SCFA dynamics within the body. Here, each view represents a distinct type of data input (i.e., gut microbiome compositions, dietary features, or host characteristics). Our method jointly explores both view-specific representations and cross-view correlations for effective predictions of SCFAs. We applied M2AE to two in-house datasets, which both include MGS and blood SCFAs profiles, host characteristics, and dietary features from 964 subjects and 171 subjects, respectively. Results from both of two datasets demonstrated that M2AE outperforms traditional regression-based and neural-network based approaches in imputing blood SCFAs. Furthermore, a series of gut bacterial species (e.g., Bacteroides thetaiotaomicron and Clostridium asparagiforme), host characteristics (e.g., race, gender), as well as dietary features (e.g., intake of fruits, pickles) were shown to contribute greatly to imputation of blood SCFAs. These findings demonstrated that GMs, dietary features and host characteristics might contribute to the complex biological processes involved in blood SCFA productions. These might pave the way for a deeper and more nuanced comprehension of how these factors impact human health.

bioinformatics↗

bioRxiv2024

OPUS-DSD2: Disentangling Dynamics and Compositional Heterogeneity for Cryo-EM Single Particle Analysis

Cryo-electron microscopy and tomography (cryo-EM/ET) capture structural heterogeneities in macromolecules, ranging from dynamic motions to compositional changes-- key to understanding biological mechanisms. While the deep learning framework, OPUS-DSD, advanced heterogeneity analysis for cryo-EM, it conflates different types of heterogeneities, and remains incompatible with cryo-ET which can elucidate macromolecular functions in their native cellular environments. Here, we present OPUS-DSD2, a unified framework for disentangling structural heterogeneity in both cryo-EM and cryo-ET data. OPUS-DSD2 augments a 3D convolutional neural network with a multi-layer perceptron based rigid-body dynamics model, advocating the separation of subunit level rigid-body dynamics from other heterogeneities. Tests on real datasets demonstrate that OPUS-DSD2 effectively captures large-scale subunit motions while isolating spatially localized structural variations into distinct principal components of the composition latent space. Critically, OPUS-DSD2 enables direct analysis of noisy cryo-ET template-matching results, bypassing labor-intensive subtomogram classification and averaging and unlocking high-throughput visual proteomics. Backward-compatible with OPUS-DSD, OPUS-DSD2 is available at https://github.com/alncat/opusDSD.

biophysics↗

bioRxiv2024

The genetic architecture of cell-type-specific cis-regulation

AbstractGene expression and complex phenotypes are determined by the activity of cis-regulatory elements. However, an understanding of how extant genetic variants affect cis regulation remains limited. Here, we investigated the consequences of cis-regulatory diversity using single-cell genomics of >0.7 million nuclei across 172 Zea mays (maize) inbreds. Our analyses pinpointed cis-regulatory elements distinct to domesticated maize and revealed how historical transposon activity has shaped the cis-regulatory landscape. Leveraging population genetics principles, we fine-mapped [~]22,000 chromatin accessibility-associated genetic variants with widespread cell-type-specific effects. Variants in TEOSINTE BRANCHED1/CYCLOIDEA/PROLIFERATING CELL FACTOR binding sites were the most prevalent determinants of chromatin accessibility. Finally, integrating chromatin accessibility-associated variants, organismal trait variation, and population differentiation revealed how local adaptation has rewired regulatory networks in unique cellular context to alter maize flowering.

genetics↗

bioRxiv2024

OPUS-BFactor: Predicting protein B-factor with sequence and structure information

Protein B-factor, also known as the Debye-Waller factor, measures the fluctuation of an atom around its average position. It serves as a crucial indicator of protein flexibility and dynamics. However, accurately predicting the B-factor of C atoms remains challenging. In this work, we introduce OPUS-BFactor, a tool for predicting the normalized protein B-factor. OPUS-BFactor operates in two modes: the first mode, OPUS-BFactor-seq, uses sequence information as input, allowing predictions based solely on protein sequence; the second mode, OPUS-BFactor-struct, uses structural information, requiring the 3D structure of the target protein. Evaluation on three test sets, including recently released targets from CAMEO and CASP15, demonstrates that OPUS-BFactor significantly outperforms other B-factor prediction methods. Therefore, OPUS-BFactor is a valuable tool for predicting protein properties related to the B-factor, such as flexibility, thermal stability, and region activity.

bioinformatics↗

bioRxiv2024

A spatially resolved multiomic single-cell atlas of soybean development

Cis-regulatory elements (CREs) precisely control spatiotemporal gene expression in cells. Using a spatially resolved single-cell atlas of gene expression with chromatin accessibility across ten soybean tissues, we identified 103 distinct cell types and 303,199 accessible chromatin regions (ACRs). Nearly 40% of the ACRs showed cell-type-specific patterns and were enriched for transcription factor (TF) motifs defining diverse cell identities. We identified de novo enriched TF motifs and explored conservation of gene regulatory networks underpinning legume symbiotic nitrogen fixation. With comprehensive developmental trajectories for endosperm and embryo, we uncovered the functional transition of the three sub-cell types of endosperm, identified 13 sucrose transporters sharing the DOF11 motif that were co-up-regulated in late peripheral endosperm and identified key embryo cell-type specification regulators during embryogenesis, including a homeobox TF that promotes cotyledon parenchyma identity. This resource provides a valuable foundation for analyzing gene regulatory programs in soybean cell types across tissues and life stages.

plant biology↗

bioRxiv2024

OPUS-TOMO: Deep Learning Framework for Structural Heterogeneity Analysis in Cryo-electron Tomography

Structural heterogeneity in biomolecules, arising from compositional and conformational variability, poses a major challenge for structure determination by cryo-electron tomography (cryo-ET). Here, we introduce OPUS-TOMO, a deep learning framework for resolving multiscale structural heterogeneity across the cryo-ET workflow. Our approach employs a convolutional encoder-decoder architecture and a rigid-body dynamics model to encode subtomograms into two separate low-dimensional latent spaces, realizing hierarchical modelling of compositional diversity and conformational dynamics. OPUS-TOMO adeptly resolved specie-level heterogeneity in template matching results and enabled sub-nanometer reconstructions for both Chlamydomonas reinhardtii ATP synthase dimer and Schizosaccharomyces pombe 80S ribosome, with an improvement of resolution up to 3 [A] compared to expert-annotated datasets. OPUS-TOMO also resolved in situ dynamics for these biomolecules by reconstructing functionally relevant structural continua. The software is available at https://github.com/alncat/opusTOMO.

molecular biology↗

bioRxiv2024

Soybean PHR1-regulated low phosphorus-responsive GmRALF22 increases uptake of phosphate via stimulating GmPTs expression

Phosphorus (P) is one of essential macronutrients for plant growth and development. Rapid Alkalization Factors (RALFs) play crucial roles in plant responses to nutrient stresses, however, the functions of Glycine max RALFs (GmRALFs) under low P (LP) stress remain elusive. In this study, we first identified 27 GmRALFs in soybean, then we revealed that GmRALF10, GmRALF11, and GmRALF22 are induced in both roots and leaves, while only GmRALF5, GmRALF6, and GmRALF25 are up-regulated in leaves in LP conditions. Furthermore, GmRALF22 was found to be the target gene of transcription factor GmPHR1, which binds the P1BS cis-element in the promoter of GmRALF22 via electrophoretic mobility shift assay (EMSA) and DUAL-LUC experiment. Colonization of Bacillus subtilis that deliver GmRALF22 increases the expression of high affinity phosphate (Pi) transporter gene GmPT2, GmPT11, GmPT13 and GmPT14, thus increases the total amount of dry matter and soluble Pi in soybean. RNA-sequencing uncovered that GmRALF22 alleviates LP stress by regulating the expression of JA-, SA- and immune-related genes. Finally, we verified that GmRALF22 is dependent on FERONIA to promote Arabidopsis primary root growth under LP conditions. In summary, GmPHR1-GmRALF22 module positively regulates soybeans tolerance to LP. HighlightsO_LISoybean genome has 27 GmRALFs. GmRALF5, GmRALF6, GmRALF10, GmRALF11, GmRALF22 and GmRALF25 are induced in low phosphorus (LP). C_LIO_LIGmPHR1 directly regulate the transcription of GmRALF22 via binding the promoter P1BS cis-element. C_LIO_LISecretion of GmRALF22 protein by Bacillus subtilis promoted soybean growth under LP conditions by improving soybean P nutrition through increased expression of high affinity phosphate (Pi) transporter gene. C_LIO_LIGmRALF22 regulates soybean P nutrition by JA-, SA- and immune-related genes expression at transcriptome level. That application of GmRALF22 promoted primary root growth in Arabidopsis in LP is dependent on FER receptor. C_LI

molecular biology↗

bioRxiv2024

Epigenetic delineation of the earliest cardiac lineage segregation by single-cell multi-omics

The mammalian heart is formed from multiple mesoderm-derived cell lineages. However, it remains largely unknown when and how the specification of mesoderm towards cardiac lineages is determined. Here, we systematically depict the transcriptional trajectories toward cardiomyocyte in early mouse embryo, and characterize the epigenetic landscapes underlying the early mesodermal lineage specification by single-cell multi-omics analyses. The analyses also reveal distinct core regulatory networks (CRN) in controlling specification of mesodermal lineages. We further demonstrate the essential role HAND1 and FOXF1 in driving the earliest cardiac progenitors specification. These key transcription factors occupy at distinct enhancers, but function synergistically and hierarchically to regulate the expression of cardiac-specific genes. In addition, HAND1 is required for exiting from the nascent mesoderm program, while FOXF1 is essential for driving cardiac differentiation during juxta-cardiac field (JCF) specification. Our findings establish transcriptional and epigenetic determinants specifying the early cardiac lineage, providing insights for the investigation of congenital heart defects.

molecular biology↗

bioRxiv2024

Marker selection strategies for circulating tumor DNA guided by phylogenetic inference

MotivationBlood-based profiling of tumor DNA ("liquid biopsy") has offered great prospects for non-invasive early cancer diagnosis, treatment monitoring, and clinical guidance, but require further advances in computational methods to become a robust quantitative assay of tumor clonal evolution. We propose new methods to better characterize tumor clonal dynamics from circulating tumor DNA (ctDNA), through application to two specific questions: 1) How to apply longitudinal ctDNA data to refine phylogeny models of clonal evolution, and 2) how to quantify changes in clonal frequencies that may be indicative of treatment response or tumor progression. We pose these questions through a probabilistic framework for optimally identifying maximum likelihood markers and applying them to characterizing clonal evolution. ResultsWe first estimate a distribution over plausible clonal lineage models, using bootstrap samples over pre-treatment tissue-based sequence data. We then refine these lineage models and the clonal frequencies they imply over successive longitudinal samples. We use the resulting framework for modeling and refining tree distributions to pose a set of optimization problems to select ctDNA markers to maximize measures of utility capturing ability to solve the two questions of reducing uncertain in phylogeny models or quantifying clonal frequencies given the models. We tested our methods on synthetic data and showed them to be effective at refining distributions of tree models and clonal frequencies so as to minimize measures of tree distance relative to the ground truth. Application of the tree refinement methods to real tumor data further demonstrated their effectiveness in refining a clonal lineage model and assessing its clonal frequencies. The work shows the power of computational methods to improve marker selection, clonal lineage reconstruction, and clonal dynamics profiling for more precise and quantitative assays of tumor progression. Availabilityhttps://github.com/CMUSchwartzLab/Mase-phi.git. Contactrussells@andrew.cmu.edu

bioinformatics↗

bioRxiv2024

pH-Sensitive Nanodroplets for Controlled Delivery of Berberine Chloride

BackgroundThe development of nanocarriers with precise control over drug release is crucial for targeted therapy. This study focuses on the design and optimization of pH-sensitive gelatin/perfluorohexane (PFH) nanodroplets loaded with berberine chloride, a model drug relevant to traditional Chinese medicine. Subjects and MethodsNanodroplets were prepared using an emulsion technique, with optimization of parameters including homogenization rate, polymer concentration, surfactant, drug, and perfluorocarbon conte nt. ResultsThe optimized formulation resulted in nanodroplets with a mean particle size of 281.7 nm and a drug encapsulation efficiency of 66.8 {+/-} 1.7%. Characterization studies confirmed successful encapsulation and pH-responsive behavior. Ultrasound stimulation significantly enhanced drug release, with 150 kHz frequency proving more effective than 1 MHz. Stability studies demonstrated prolonged stability over one month at 4{degrees}C. Following 10 minutes of ultrasound irradiation, the nanodroplets exhibited 89.4% cumulative drug release. ConclusionsIn conclusion, these pH-sensitive nanodroplets show potential for delivering berberine chloride in a controlled manner, connecting traditional Chinese medicine with contemporary drug delivery methods.

biophysics↗

bioRxiv2024

Mating-compatibility genes employed as diagnostic markers to identify novel incursions of the myrtle rust pathogen Austropuccinia psidii

Austropuccinia psidii is the causal agent of myrtle rust in over 480 species within the family Myrtaceae. Lineages of A. psidii are structured by host in its native range, and some have success on new-encounter hosts. For example, the pandemic biotype has spread beyond South America, and proliferation of other lineages is an additional risk to biodiversity and industries. Efforts to manage A. psidii incursions, including lineage differentiation, relies on variable microsatellite markers. Testing these markers is time-consuming and complex, particularly on a large scale. We designed a novel diagnostic approach targeting the fungal mating-type HD (homeodomain) transcription factor locus to address these limitations. The HD locus (bW1/2-HD1 and bE1/2-HD2) is highly polymorphic, facilitating clear biological predictions about its inheritance from founding populations. To be considered the same lineage, all four HD alleles must be identical. Our lineage diagnostics relies on PCR amplification of the HD locus in different genotypes of A. psidii followed by amplicon sequencing using Oxford Nanopore Technologies (ONT) and comparative analysis. The lineage-specific assay was validated on four isolates with existing genomes, uncharacterized isolates, and directly from infected leaf material. We reconstructed HD alleles from amplicons and confirmed their sequence identity relative to their reference. Genealogies using HD alleles confirmed the variations at the HD loci among lineages/isolates. Our study establishes a robust diagnostic tool, for differentiating known lineages of A. psidii based biological predictions. This tool holds promise for detecting new pathogen incursions and can be refined for broader applications, including air-sample detection and mixed-isolate infections.

plant biology↗

bioRxiv2024

A Multiomics, Spatiotemporal, and Single Cell Atlas for Mapping Cell-Type-Specific Dysregulation at the Maternal-Fetal Interface

The placenta, the first organ to functionally mature, undergoes disordered development in many pregnancy complications. Molecular investigations have been hampered by the extreme cellular heterogeneity of the placenta, and this complexity is further exaggerated at the maternal-fetal interface where maternal and fetal cells co-mingle. We generated the paired single nucleus epigenomes and transcriptome for each of [~]200,000 cells at the human maternal-fetal interface from early pregnancy to term. These data identified cell-type-specific transcriptional regulatory programs and uncovered key transcription factors driving the lineage differentiation of placental cytotrophoblasts. Integrating spatial single cell proteomics profiling, we localized the observed cell types in situ, and characterized the dynamic stages and distinct features of endothelial cells of maternal spiral arteries remodeled by extravillous cytotrophoblasts. Integrative analyses of the single cell data across gestation enabled fine-mapping of the developmental trajectories of cytotrophoblasts and decidual stromal cells, and defining the signature molecular profiles of known and novel cell (sub)types. To demonstrate clinical value, we integrated the reference single cell data with large-scale population genomes from pregnancy complications and identified the most vulnerable maternal and fetal cell types in preeclampsia, preterm birth, and miscarriage. This study presents the most comprehensive placental and decidual single cell resource across gestation to date, reveals new insights into the drivers of normal human placentation, and uncovers the cellular basis of dysfunction associated with common pregnancy complications.

genomics↗

bioRxiv2024

Evolution of cell-type-specific accessible chromatin regions and the cis-regulatory elements that drive lineage-specific innovation

Cis-regulatory elements (CREs) are critical in regulating gene expression, and yet understanding of CRE evolution remains challenging. Here, we constructed a comprehensive single-cell atlas of chromatin accessibility in Oryza sativa, integrating data from 103,911 nuclei representing 126 discrete cell states across nine distinct organs. We used comparative genomics to compare cell-type resolved chromatin accessibility between O. sativa and 57,552 nuclei from four additional grass species (Zea mays, Sorghum bicolor, Panicum miliaceum, and Urochloa fusca). Accessible chromatin regions (ACRs) had different levels of conservation depending on the degree of cell-type specificity. We found a complex relationship between ACRs with conserved noncoding sequences, cell-type specificity, conservation, and tissue-specific switching. Additionally, we found that epidermal ACRs were less conserved compared to other cell types, potentially indicating that more rapid regulatory evolution has occurred in the L1-derived epidermal layer of these species. Finally, we identified and characterized a conserved subset of ACRs that overlapped the repressive histone modification H3K27me3, implicating them as potentially silencer-like CREs maintained by evolution. Collectively, this comparative genomics approach highlights the dynamics of plant cell-type-specific CRE evolution.

plant biology↗