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Xu, Z.

Publications and source records attributed to Xu, Z..

At least 199 records · Page 11Linked to original sources

Optics-free Spatial Genomics for Mapping Mouse Brain Aging

Spatial transcriptomics has revolutionized our understanding of cellular network dynamics in aging and disease by enabling the mapping of molecular and cellular organization across various anatomical locations. Despite these advances, current methods face significant challenges in throughput and cost, limiting their utility for comprehensive studies. To address these limitations, we introduce IRISeq (Imaging Reconstruction using Indexed Sequencing), a optics-free spatial transcriptomics platform that eliminates the need for predefined capture arrays or extensive imaging, allowing for the rapid and cost-effective processing of multiple tissue sections simultaneously. Its capacity to reconstruct images based solely on sequencing local DNA interactions allows for profiling of tissues without size constraints and across varied resolutions. Applying IRISeq, we examined gene expression and cellular dynamics in thirty brain regions of both adult and aged mice, uncovering region-specific changes in gene expression associated with aging. Further cell type-centric analysis further identified age-related cell subtypes and intricate changes in cell interactions that are distinct to certain spatial niches, emphasizing the unique aspects of aging in different brain regions. The affordability and simplicity of IRISeq position it as a versatile tool for mapping region-specific gene expression and cellular interactions across various biological systems. One Sentence Summary: IRISeq, an innovative optics-free spatial transcriptomics method, uncovers aging-related changes in spatial gene expression and focal cell interactions in brain aging.

genomics↗

Two TAL effectors of Xanthomonas citri pv. malvacearum target GhSWEET15 as the susceptibility genes for bacterial blight of cotton

Bacterial Blight of Cotton (BBC) caused by Xanthomonas citri pv. malvacearum (Xcm) is an important and destructive disease affecting cotton plants. Transcription activator-like effectors (TALEs) released by the pathogen regulate cotton resistance to the susceptibility. In this study, we sequenced the whole genome of Xcm Xss-V2-18 and identified eight tal genes; seven on the plasmids and one on the chromosome. Deletion and complementation experiments of Xss-V2-18 tal genes demonstrated that Tal1b is required for full virulence on cotton. Transcriptome profiling coupled with TALE-binding element prediction revealed that Tal1b targets GhSWEET15A04/D04 and GhSWEET15D02 simultaneously. Expression analysis confirmed the independent inducibility of GhSWEET15A04/D04 and GhSWEET15D02 by Tal1b, whereas GhSWEET15A04/D04 is additionally targeted by Tal1. Moreover, GUS ({beta}-glucuronidase) and Xa10-mediated HR (hypersensitive response) assays indicated that the EBEs are required for the direct and specific activation of the candidate targets by Tal1 and Ta1b. These findings may advance our understanding of the dynamics between TALEs and EBEs, and decipher a simple and effective DNA-binding mechanism that could lead to the development of more efficient methods for gene editing and transgenic research.

pathology↗

Optimized semi-specific PCR amplification using arbitrarily degenerate primer for genome-wide genotyping and its application in peanut genetic diversity study

Cultivated peanut (Arachis hypogaea L.) is an important legume crop with a large genome size but a limited genetic diversity. Evaluating the genetic variation among diverse peanut germplasms using genome-wide molecular markers is an effective strategy to explore its genetic diversity and thereby facilitate peanut improvement. In this study, we introduced a novel whole-genome genotyping (WGG) technique named dRAPD-seq (degenerate Random Amplification Polymorphic DNA and sequencing), which relies on semi-specific PCR amplification by arbitrarily degenerate (AD) primer and next-generation sequencing (NGS), and demonstrated its robust reproducibility and high accuracy. Subsequently, we applied dRAPD-seq to investigate the genetic relatedness within a population of 101 diverse peanut accessions and identified a low genetic diversity among these accessions. Our phylogenetic tree, population structure analyses, and principal component analysis (PCA) indicated that this population could be clustered into three subpopulations, largely corresponding to three botanical types. In conclusion, this research not only introduced a cost-effective and easy-to-conduct WGG method but also provided valuable insights for utilizing these peanut accessions in future breeding programs.

genomics↗

CIB2 as a Ca2+ Sensor for Auditory Mechano-Electrical Transduction and Linked to Genetic-Heterogeneity of TMC1 in Hearing Loss

Non-syndromic sensorineural hearing loss is characterized by genetic heterogeneity, leading to potential clinical misdiagnosis. TMC1, a unique causative gene associated with deafness, exhibits variants with autosomal dominant and recessive inheritance patterns. TMC1 codes for the transmembrane channel-like 1 (TMC1), a key component of the mechano-electrical transduction (MET) machinery for hearing. However, the molecular mechanism of Ca2+ regulation in MET, which is essential for sound perception, remains unclear. CIB2, another MET component associated with deafness, can bind with calcium and may play a role in MET gating. Our study reveals that the TMC1-CIB2 complex undergoes a Ca2+-induced conformational change, highlighting the crucial role of Ca2+ in MET. We identified a vertebrate-specific binding site on TMC1, named CR3, that interacts with apo CIB2, with the binding interface linked to hearing loss. Using an in-vivo animal model, we demonstrated that disruption of the calcium-sensing site of CIB2 perturbs the MET channel conductivity, confirming its role as a Ca2+ sensor for MET. Additionally, after systematically analyzing the hearing-loss variants, we observed that dominant mutations of TMC1 are often located near the ion pore or at the binding interfaces with the Ca2+ sensor CIB2. This provides a detailed mechanism of the genetic heterogeneity of TMC1 in hearing loss at an atomic level.

molecular biology↗

F-CPI: Prediction of activity changes induced by fluorine substitution using multimodal deep learning

There are a large number of fluorine (F)-containing compounds in approved drugs, and F substitution is a common method in drug discovery and development. However, F is difficult to form traditional hydrogen bonds and typical halogen bonds. As a result, accurate prediction of the activity after F substitution is still impossible using traditional drug design methods, whereas artificial intelligence driven activity prediction might offer a solution. Although more and more machine learning and deep learning models are being applied, there is currently no model specifically designed to study the effect of F on bioactivities. In this study, we developed a specialized deep learning model, F-CPI, to predict the effect of introducing F on drug activity, and tested its performance on a carefully constructed dataset. Comparison with traditional machine learning models and popular CPI task models demonstrated the superiority and necessity of F-CPI, achieving an accuracy of approximately 89% and a precision of approximately 67%. In the end, we utilized F-CPI for the structural optimization of hit compounds against SARS-CoV-2 3CLpro. Impressively, in one case, the introduction of only one F atom resulted in a more than 100-fold increase in activity (IC50: 22.99 nM vs. 28190 nM). Therefore, we believe that F-CPI is a helpful and effective tool in the context of drug discovery and design.

bioinformatics↗

Cell division protein A (CdpA) assembles and anchors the two FtsZ rings at midcell in haloarchaea

Many archaea appear to divide through the coordinated activities of two FtsZ homologues (FtsZ1 and FtsZ2) and another bacterial cell division homologue (SepF), which are part of the midcell division ring. Here, we identify an additional protein (HVO_0739, renamed CdpA) that is involved in cell division in Haloferax volcanii, with homologues in other Haloarchaea. CdpA localizes at the mid-cell division ring, and this requires the presence of the ring-assembly protein FtsZ1. The division constriction protein FtsZ2 also influenced the proper midcell assembly and structure of CdpA. In the absence of CdpA, cells frequently failed to divide properly, and FtsZ1 formed poorly condensed pseudo-helical structures spanning across a broad region of the cell, whereas FtsZ2 showed mispositioned foci, nano-rings, and filaments. The rate of directional movement of FtsZ1 and FtsZ2 structures around the division ring appeared minimally affected by loss of CdpA, which resulted in continual repositioning of the aberrant FtsZ structures in the cells. In contrast to the FtsZ proteins, CdpA formed relatively immobile foci around the ring. Protein domain function studies, pull-down assays, and multimer structure predictions suggest that CdpA is part of a membrane complex that tethers FtsZ2 and other division proteins to the midcell membrane. Our discovery of an archaeal FtsZ organisation and midcell anchor protein offers new insights into cell division mechanisms that are similar across the tree of life.

microbiology↗

MDRepo - an open environment for data warehousing and knowledge discovery from molecular dynamics simulations

BackgroundMolecular Dynamics (MD) simulation of biomolecules provides important insights into conformational changes and dynamic behavior, revealing critical information about folding and interactions with other molecules. This enables advances in drug discovery and the design of therapeutic interventions. The collection of simulations stored in computers across the world holds immense potential to serve as training data for future Machine Learning models that will transform the prediction of structure, dynamics, drug interactions, and more. A needIdeally, there should exist an open access repository that enables scientists to submit and store their MD simulations of proteins and protein-drug interactions, and to find, retrieve, analyze, and visualize simulations produced by others. However, despite the ubiquity of MD simulation in structural biology, no such repository exists; as a result, simulations are instead stored in scattered locations without uniform metadata or access protocols. A solutionHere, we introduce MDRepo, a robust infrastructure that supports a relatively simple process for standardized community contribution of simulations, activates common downstream analyses on stored data, and enables search, retrieval, and visualization of contributed data. MDRepo is built on top of the open-source CyVerse research cyberinfrastructure, and is capable of storing petabytes of simulations, while providing high bandwidth upload and download capabilities and laying a foundation for cloud-based access to its stored data.

biochemistry↗

Mitoregulin self-associates to form likely homo-oligomeric pore-like structures

We and others previously found that a misannotated long noncoding RNA encodes for a conserved mitochondrial transmembrane microprotein named Mitoregulin (Mtln). Beyond an established role for Mtln in lipid metabolism, Mtln has also been shown to more broadly influence mitochondria, boosting respiratory efficiency and Ca2+ retention capacity, while lowering ROS, yet the underlying mechanisms remain unresolved. Prior studies have identified possible Mtln protein interaction partners; however, a lack of consensus persists, and no claims have been made about Mtlns structure. We previously noted two key published observations that seemingly remained overlooked: 1) endogenous Mtln co-immunoprecipitates with epitope-tagged Mtln at high efficiency, and 2) Mtln primarily exists in a [~]66 kDa complex. To investigate if Mtln may self-oligomerize into higher-order complexes, we performed co-immunoprecipitation, protein modeling simulations, and native gel assessments of Mtln-containing complexes in cells and tissues, as well as tested whether synthetic Mtln protein itself forms oligomeric complexes. Our combined results provide strong support that Mtln self-associates and likely forms a hexameric pore-like structure.

molecular biology↗

Rational Design of a Flavoenzyme for Aerobic Nicotine Catabolism

Enzymatic therapy with nicotine-degrading enzyme is a new strategy in treating nicotine addiction, which can reduce nicotine concentrations and weaken withdrawal in the rat model. However, when O2 is used as the electron acceptor, no satisfactory performance has been achieved with one of the most commonly studied and efficient nicotine-catabolizing enzymes, NicA2. To obtain more efficient nicotine-degrading enzyme, we rationally designed and engineered a flavoenzyme Pnao, which shares high structural similarity with NicA2 (RMSD = 1.143 [A]) and efficiently catalyze pseudooxynicotine into 3-succinoyl-semialdehyde pyridine using O2. Through amino acid alterations with NicA2, five Pnao mutants were generated, which can degrade nicotine in Tris-HCl buffer and retained catabolic activity on its natural substrate. Nicotine-1-N-oxide was identified as one of the reaction products. Four of the derivative mutants showed activity in rat serum and Trp220 and Asn224 were found critical for enzyme specificity. Our findings offer a novel avenue for research into aerobic nicotine catabolism and provides a promising method of generating additional nicotine-catalytic enzymes.

molecular biology↗

Temporal-spatially metabolic reprogramming rewires the H3K27ac landscape to enable the initiation of liver regeneration

The liver possesses extensive regenerative capacity. Nevertheless, the most proximal events driving the transition from quiescent to proliferative hepatocytes remain largely elusive. Using the combination of spatiotemporal metabolomics and transcriptomics, our study mapped out the temporal-spatial landscape of metabolic reprogramming, epigenetic remodeling, and transcriptomic rewiring from 3 to 12 hours post-partial hepatectomy. Specifically, we identified a profound metabolic shift towards hyperactive fatty acid oxidation (FAO) and suppressed phospholipid biosynthesis during the preparation phase of liver regeneration, which were surprisingly reversed afterwards. FAO-dependent accumulation of Acetyl-CoA particularly remodeled H3K27ac landscape. These metabolic reprograming and epigenetic regulation were spatially specific, aligning with the zonation of hepatocyte proliferation. Blocking FAO in etomoxir-treated or hepatocyte-specific Cpt1a knockout mice, suppressing Acetyl-CoA biosynthesis, and inhibiting histone acetyltransferase all resulted in lethal liver regeneration deficiency. CUT&Tag analysis further revealed that the reshaping of H3K27ac profiles favored the transcription of genes associated with cell cycle transition and mitosis, and rewired the metabolic gene network. Collectively, we highlight a previously underappreciated role of FAO in epigenetic remodeling that is essential for the initiation of liver regeneration, offering exciting opportunity for the rescue of regeneration-deficient livers. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=181 HEIGHT=200 SRC="FIGDIR/small/602368v1_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@8dd836org.highwire.dtl.DTLVardef@6ddb27org.highwire.dtl.DTLVardef@4f1e49org.highwire.dtl.DTLVardef@4d7afe_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

Interspecies interaction reshapes the fitness landscape of evolved genotypes

Microbial interaction and their evolution is vital for shaping the structure and function of microbial communities. However, the mechanisms governing the directionality and stability of the evolution of interactions within microbial communities remain poorly understood. Here, we used a syntrophic two-species biofilm consortium composed of Bacillus velezensis SQR9 and Pseudomonas stutzeri XL272 that promotes plant growth through their metabolic interactions and investigated how the interactions within the consortium change over evolutionary timescale to characterize the phenotypic and genetic diversification. The focal species B. velezensis SQR9 rapidly diversified into diverse colony morphotypes, both in the presence and absence of its interactor, P. stutzeri XL272, with variable frequencies. These morphotypes displayed phenotypic differentiation among biofilm formation, planktonic growth, and spore formation. The evolved P. stutzeri altered the fitness landscape of B. velezensis morphotypes, allowing the weaker rough morphotype to outcompete the biofilm-enhanced slimy morphotype. Whole genome re-sequencing correlated these phenotypic changes with mutations in specific genes encoding regulators of B. velezensis, including ywcC, comA, comP, degS, degQ and spo0F. The coevolutionary partner, P. stutzeri increased its exopolysaccharide production that could be explained by a frame shift mutation in cpsA gene encoding capsular polysaccharide (CPS) biosynthesis protein. Compared with the mono-evolution, co-evolved B. velezensis populations showed greater mutation accumulation in intergenic regions, which led to greater genetic parallelism. Furthermore, the dissimilarity between mono-evolved and co-evolved populations increased over time. Our study reveals intricate genetic diversification and fitness differentiation within a biofilm consortium, shaped by both abiotic conditions and biotic interactions.

microbiology↗

CREEPING STEM1 Regulates Directional Auxin Transport for Lodging Resistance in Soybean

Soybean, a staple crop on a global scale, frequently encounters challenges due to lodging under high planting densities, which results in significant yield losses. Despite extensive research, the fundamental genetic mechanisms governing lodging resistance in soybeans remain elusive. In this study, we identify and characterize the Creeping Stem 1 (CS1) gene, which plays a crucial role in conferring lodging resistance in soybeans. The CS1 gene encodes a HEAT-repeat protein that modulates hypocotyl gravitropism by regulating amyloplast sedimentation. Functional analysis reveals that the loss of CS1 activity disrupts polar auxin transport, vascular bundle development, and the biosynthesis of cellulose and lignin, ultimately leading to premature lodging and aberrant root development. Conversely, increasing CS1 expression significantly enhances lodging resistance and improves yield under conditions of high planting density. Our findings shed light on the genetic mechanisms that underlie lodging resistance in soybeans and highlight the potential of CS1 as a valuable target for genetic engineering to improve crop lodging resistance and yield.

plant biology↗

Os-circANK negatively regulates resistance to bacterial blight in rice via Osa-miR398b/OsCSD1/OsCSD2 pathways

CircRNAs are widely present in plants, yet there have been no reports on the role of circRNA in the regulatory mechanisms of interactions between rice and pathogenic bacteria. As the sequence of circRNAs matches the parent gene except for the back splicing site, there is no feasible way to specifically knockdown circRNAs in plants. We identified a circRNA, named Os-circANK, derived from an ankyrin repeat protein, which was significantly downregulated post Xanthomonas oryzae pv. oryzae (Xoo) inoculation. We have created a CRISPR-Cas13d system to specifically knockdown a plant circular RNA, resulting in genetically edited rice with a targeted decrease in Os-circANK expression. Os-circANK was found to function as a sponge for Osa-miR398b, suppressing the cleavage of OsCSD1/OsCSD2 by Osa-miR398b, leading to a reduction in ROS levels following Xoo infection and a negative regulation of resistance to bacterial blight in rice. Our findings demonstrate that Os-circANK inhibits the resistance to bacterial blight in rice via the Osa-miR398b/OsCSD1/OsCSD2 pathways.

microbiology↗

Brain-derived exosomal hemoglobin transfer contributes to neuronal mitochondrial homeostasis under hypoxia

Hypoxia is an important physiological stress causing nerve injuries and several brain diseases. However, the mechanism of brain response to hypoxia remains unclear, thus limiting the development of interventional strategies. This study conducted combined analyses of single-nucleus transcriptome sequencing and extracellular vesicle transcriptome sequencing on hypoxic mouse brains, described cell-cell communication in the brain under hypoxia from intercellular and extracellular dimensions, confirmed that hemoglobin mRNA was transferred from non-neuronal cells to neurons, and eventually expressed. Then we further explored the role of exosomal hemoglobin transfer in vitro, clarified that hypoxia promoted the transfer and expression of exosomal hemoglobin between endothelial cells and neurons. And we found the vital function of exosomal hemoglobin to protect against neurological injury by maintaining mitochondrial homeostasis in neurons. In conclusion, this study identified a novel mechanism of mutual aid in hypoxia responses in the brain, involving exosomal hemoglobin transfer, clarified the important role of exosomal communication in the process of brain stress response, and provided a novel interventional perspective for hypoxia-related brain diseases.

cell biology↗

c-di-GMP modulates ribosome assembly by inhibiting rRNA methylation

Cyclic diguanosine monophosphate (c-di-GMP) is a ubiquitous bacterial secondary messenger, with diverse functions, many of which are yet to be uncovered. Stemming from an Escherichia coli proteome microarray, we found that c-di-GMP bound to 23S rRNA methyltransferases (RlmI and RlmE). rRNA methylation assays showed that c-di-GMP inhibits RlmI activity, thereby modulating ribosome assembly. Based on molecular dynamic simulation and mutagenesis studies, we found that c-di-GMP binds to RlmI at residues R64, R103, G114, and K201. Structural simulation revealed that c-di-GMP quenches RlmI activity by inducing the closure of the catalytic pocket. Furthermore, we revealed that c-di-GMP promotes antibiotic tolerance by regulating RlmI activity, which played a role in antibiotic-resistant strains. Finally, the binding and methylation assays showed that the effect of c-di-GMP on RlmI is conserved, at least in various pathogenic bacteria. This study discovered an unexpected functional role of c-di-GMP in regulating ribosome assembly by inhibiting rRNA methylases. This study identified an unexpected but crucial member among the c-di-GMP effectors. HighlightsO_LIc-di-GMP regulates ribosome assembly in Escherichia coli. C_LIO_LIc-di-GMP inhibits rRNA methylation activity of RlmI by inducing catalytic pocket closure. C_LIO_LIc-di-GMP promotes antibiotic resistance by regulating ribosome assembly. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/597503v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@52baforg.highwire.dtl.DTLVardef@176f86dorg.highwire.dtl.DTLVardef@1afed11org.highwire.dtl.DTLVardef@f53687_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

The Assembly of Purple-red Spinach Provides Insight into the Mechanism of Betalain Biosynthesis

Purple-red spinach is a unique cultivar with rich in betalains, which has been used for food colorants and is beneficial for human health. In view of the lack of genomic inforamtion of purple-red spinach genome and promote the idetification of betalian gene, we presented the genome of purple-red spinach with Nanopore ultra-long and illumina sequencing platform. The contig N50 size was 2.2Mb and 99.33% contig sequence was anchored to the six chromosomes, totaling 878.83Mb. The purple-red genome constitues 74.15% repeat sequence and harbors 26020 protein-coding genes. We also comprehensively identified candidate genes in betalain biosynthesis pathway in spinach. Moreover, a combined transcriptomic and BSA analysis uncovered a key betalain gene, FUN_002594, which regulated the color and betalain content of leaf. Our data present a valuable resource for facilitating molecular breeding programs of spinach and shed novel light on unique attributes, as well as the modulation of betalain biosynthesis.

genomics↗

Bridging the Gap: biofilm-mediated establishment of Bacillus velezensis on Trichoderma guizhouense mycelia

Bacterial-fungal interactions (BFIs) are important in ecosystem dynamics, especially within the soil rhizosphere. The bacterium Bacillus velezensis SQR9 and the fungus Trichoderma guizhouense NJAU 4742 have garnered considerable attention due to their roles in promoting plant growth and protecting their host against pathogens. In this study, we utilized these two model microorganisms to investigate BFI. We firstly demonstrate that while co-inoculation of B. velezensis and T. guizhouense could promote tomato growth, these two microorganisms display mutual antagonism on agar solidified medium. To resolve this contradiction, we developed an inoculation method, that allows B. velezensis colonization of T. guizhouense hyphae and performed a transcriptome analysis. During colonization of the fungal hyphae, B. velezensis SQR9 upregulates expression of biofilm related genes (e.g. eps, tasA, and bslA) that is distinct from free-living cells. This result suggested an intricate association between extracellular matrix expression and hyphae colonization. In accordance, deletion epsD, tasA, or both epsD and tasA genes of B. velezensis diminished colonization of the T. guizhouense hyphae. The insights from our study demonstrate that soil BFIs are more complex than we understood, potentially involving both competition and cooperation. These intricate biofilm-mediated BFI dynamics might contribute to the remarkable diversity observed within soil microbiota, providing a fresh perspective for further exploration of BFIs in the plant rhizosphere.

microbiology↗

Dynamic Modeling of Antibody Repertoire Reshaping in Response to Viral Infections

For many years, researchers have emphasized the production of high-affinity specific antibodies by hosts during viral infections. However, this has made it challenging for immunologists to systematically evaluate the initiation mechanisms of humoral immunity in specific immune responses. Employing mathematical modeling, we have systematically investigated the dynamic changes of the entire antibody atlas in response to exogenous antigenic stimuli, including viral infections. Our study reveals that the hosts antibody atlas is reshaped during viral infection, not through the proliferation of individual antibody types, but rather through the proliferation of antibody pools with strong binding activity. Moreover, we observe a contraction in pools of antibodies with low binding activity. We have identified the crucial role of self-antigens in maintaining antibody persistence, which can effectively explain the organisms lifelong protection against pathogens that are less prone to mutation. Using this model, we further explore the mechanisms underlying original antigenic sin and elucidate the specific practical applications of this model. This research transcends the limitations of mere mathematical parameter fitting, as we endeavor to elucidate the complex humoral immune processes using physical mechanisms as a foundation. Our work contributes to a renewed understanding of the antibody elicitation process in specific immune responses.

immunology↗