Biology subjects

Yan, B.

Publications and source records attributed to Yan, B..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

A gene co-expression network-based analysis of mesenchymal stromal cells reveals novel genes and molecular pathways underlying heterotopic ossification

BackgroundHeterotopic ossification (HO) represents a frequently seen refractory disease second to musculoskeletal injury, in which bone tissue ectopically exists within soft tissue, resulting in serious extremity loss-of-function. This work focused on identifying regulating factors and gene network associated with HO pathology. Material and MethodsWe randomized the heterotopic ossification dataset GSE94683 as HO and NON-HO group. Weighted gene co-expression network analysis (WGCNA) was applied in identifying HO related modules. We discovered differentially expressed genes (DEGs) between the two groups. Then, we integrated protein-protein interaction (PPI) network, co-expression network, enrichment analysis, gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) for identifying the HO-related pathways. We also employed GSE126118 test set to investigate hub genes related to HO. Eventually, potential therapeutics for reversing abnormal hub gene levels were predict by DGIdb. ResultsWe discovered twelve HO status modules and 1,483 DEGs in HO samples compared with NON-HO counterparts. Four hub genes were obtained from the overlap of HO related PPI and coexpression networks. Training and test sets were adopted for verification, and three abnormally high hub gene expression in HO were obtained. Functional enrichment of DEGs indicated that these genes were involved in the stem cell pluripotency regulatory pathways, cytokine-cytokine receptor interaction, as well as rap1 pathway. Based on the results from GSEA and GSVA, many hub gene sets were mainly enriched in immune responses. ConclusionWe identified a gene coexpression network associated with regulatory factors in HO, which provided a new perspective on the pathogenesis and provided potential biomarkers or therapeutic targets.

bioinformatics↗

bioRxiv2024

PTTG1-Mediated Pericyte Dysfunction Drives Diabetes-Induced Microvascular Dysfunction

BackgroundPericytes are crucial for the development, stabilization, and functional regulation of microvasculature, especially in the retina. In diabetic retinopathy (DR), early loss of pericytes is a key event that drives microvascular dysfunction. Despite their critical role, the mechanisms underlying the functional heterogeneity of pericytes in DR remain poorly understood, impeding the development of effective therapeutic strategies. MethodsWe employed single-cell RNA sequencing to construct a comprehensive single- cell atlas of non-diabetic and diabetic retinas. Using bioinformatic clustering and subcluster analysis, we identified a specific pericyte subcluster associated with diabetic microvascular complications. Differential gene expression analysis and immunofluorescence validation highlighted PTTG1 as a potential key regulator of pericyte dysfunction. To investigate its functional role, we emplyed CRISPR/Cas9 and adenoviral vectors to modulate PTTG1 expression in vitro and in vivo. Combined transcriptomic and metabolomic approaches were used to explore the mechanistic pathways through which PTTG1 influences pericyte biology and vascular function. ResultsWe identified a novel pericyte subcluster characterized by elevated expression of PTTG1, which was strongly correlated with diabetic microvascular dysfunction. Silencing PTTG1 using CRISPR/Cas9 and siRNA in vitro mitigated pericyte dysfunction under high- glucose conditions. Targeted knockdown of PTTG1 using viral vectors improved retinal vascular integrity and reduced neovascularization in diabetic mice. Transcriptomic and untargeted metabolomic analyses revealed that PTTG1 knockdown reprogrammed pericyte energy metabolism by modulating glycolysis pathway genes, reducing oxidative stress, and restoring pericyte function, ultimately alleviating microvascular dysfunction in DR. ConclusionsPTTG1 plays a critical role in regulating pericyte dysfunction and maintaining vascular homeostasis in diabetic retinopathy. By modulating key metabolic pathways and pericyte phenotypes, PTTG1 represents a promising therapeutic target for treating diabetic microvascular complications. These insights offer a novel molecular framework for developing targeted therapies aimed at restoring retinal vascular health in diabetic patients.

molecular biology↗

bioRxiv2024

Epigenetic adaptation drives monocyte differentiation into microglia-like cells upon engraftment into the retina

The identification of specific markers to distinguish resident microglia from infiltrating monocytes has been a long-standing challenge in neuroscience. Recently, proteins such as P2RY12, TMEM119, and FCRLS have been proposed as microglia-specific and are now widely used to define microglial populations in health and disease. The specificity of these markers was predicated on the assumption that circulating monocytes retain their distinct signatures after entering the central nervous system (CNS). Here, we challenge this paradigm. Using a combination of bone marrow chimeras, single-cell RNA sequencing, ATAC-seq, flow cytometry, and immunohistochemistry, we demonstrate that monocytes engrafting into the CNS acquire de novo expression of these established microglia markers. This phenotypic conversion is driven by profound epigenetic reprogramming, characterized by dynamic changes in chromatin accessibility at key gene loci, including P2ry12, Tmem119, and Aif1 (Iba1), and a shift in transcription factor binding motifs toward a microglial profile. We show this process occurs in the retina following injury and, remarkably, under physiological conditions in the brain and spinal cord, where blood-derived monocytes progressively contribute to the resident myeloid pool. Furthermore, engrafted monocytes downregulate canonical monocyte markers (Ly6C, CD45), eventually becoming indistinguishable from embryonic microglia based on conventional phenotyping. Our findings reveal that infiltrating monocytes undergo extensive epigenetic and transcriptional remodeling to adopt a microglia-like fate, challenging the specificity of current markers and necessitating a re-evaluation of the distinct roles of these two cell populations in CNS pathology. Significance StatementDistinguishing resident CNS microglia from infiltrating monocytes is fundamental to understanding neuro-inflammation. This study reveals that widely used "microglia-specific" markers are not exclusive, as monocytes entering the central nervous system are epigenetically reprogrammed to express them. This mimicry invalidates long-held assumptions about microglial identity and demonstrates that many cells previously identified as microglia may have a peripheral origin. Our work underscores the critical need for more reliable methods to differentiate these populations to accurately define their respective contributions to CNS health and disease.

immunology↗

bioRxiv2024

Mesolimbic local field potentials are modulated by motor control

Background and ObjectivesWhile historically cortico-basal ganglia-thalamocortical loops were believed to process limbic and sensorimotor data in parallel, there is now evidence to suggest that the two information streams can be processed in a single open loop. However, the limbic-motor interface remains insufficiently characterized. We sought to further investigate how extrastriatal regions may regulate motor output by examining electrophysiological activity in these areas during a response inhibition paradigm. MethodsWe recorded local field potentials (LFPs) from epilepsy patients implanted with intracranial depth electrodes for seizure localization purposes. Participants performed the stop-signal task, during which they made speeded choice reactions to "go" stimuli and occasionally inhibited their reactions in the incident of a "stop" signal. To compare power during movement and the absence of movement, we applied a Wilcoxon signed-rank test. Additionally, we performed a linear mixed-effects model to relate power in limbic regions to power in the motor cortex. Finally, we implemented exploratory analyses to identify power differences for correct go versus correct stop trials and for correct stop versus incorrect stop trials using cluster-based permutation testing. Results14 patients participated. A comparison between movement and baseline fixation revealed that motor response is associated with reduced beta (15-35 Hz) power in the amygdala, hippocampus, and motor cortex and reduced gamma (35-100 Hz) power in the amygdala and hippocampus. Moreover, average beta and gamma power in the amygdala and hippocampus during motor execution were positively associated with average beta and gamma power in the motor cortex. Additionally, we identified significant differences between correct go and stop trials in delta (1-4 Hz) power for all three regions and in theta (4-8 Hz) power for the amygdala and motor cortex. Likewise, we identified significant differences between correct and incorrect stop trials in delta power for the hippocampus and motor cortex, in theta power for the motor cortex, in alpha (8-15 Hz) and beta power for the amygdala and motor cortex, and in gamma power for all three areas. DiscussionThese correlations between neural oscillations in the hippocampus and amygdala and movement strengthen the notion of mesolimbic modulation of motor activity.

neuroscience↗

bioRxiv2023

SpatialCells: Automated Profiling of Tumor Microenvironments with Spatially Resolved Multiplexed Single-Cell Data

BackgroundCancer is a complex cellular ecosystem where malignant cells coexist and interact with immune, stromal, and other cells within the tumor microenvironment. Recent technological advancements in spatially resolved multiplexed imaging at single-cell resolution have led to the generation of large-scale and high-dimensional datasets from biological specimens. This underscores the necessity for automated methodologies that can effectively characterize the molecular, cellular, and spatial properties of tumor microenvironments for various malignancies. ResultsThis study introduces SpatialCells, an open-source software package designed for region-based exploratory analysis and comprehensive characterization of tumor microenvironments using multiplexed single-cell data. ConclusionsSpatialCells efficiently streamlines the automated extraction of features from multiplexed single-cell data and can process samples containing millions of cells. Thus, SpatialCells facilitates subsequent association analyses and machine learning predictions, making it an essential tool in advancing our understanding of tumor growth, invasion, and metastasis. Availability of code and materialshttps://github.com/SemenovLab/SpatialCells.

bioinformatics↗

bioRxiv2023

An Artificial Intelligence-Assisted Digital Microfluidic System for Multistate Droplet Control

AbstractDigital microfluidics (DMF) is a versatile technique for parallel and field-programmable control of individual droplets. Given the high freedom in droplet manipulation, it is essential to establish self-adaptive and intelligent control methods for DMF systems with informed of the transient state of droplets and their interactions. However, most related studies focus on the localization and shape recognition of droplets. Here, we develop an AI-assisted DMF framework named "DropAI" for multistate droplet control based on droplet morphology. Semantic segmentation model is integrated into our custom-designed DMF system to recognize the droplet states and their interactions for feedback control with a state machine. The proposed model has a strong generalization ability and can recognize droplets of different colors and shapes with an error rate of less than 0.63%. It enables control of droplets without user intervene. The proposed system will inspire the development of semantic-driven DMF systems which can interface with artificial general intelligence (AGl) models for fully automatic control.

bioengineering↗

bioRxiv2023

Discovery of novel DNA cytosine deaminase activities enables a nondestructive single-enzyme methylation sequencing method for base resolution high-coverage methylome mapping of cell-free and ultra-low input DNA

Cytosine deaminases have important uses in the detection of epigenetic modifications and in genome editing. However, the range of applications of deaminases is limited by a small number of well characterized enzymes. To expand the toolkit of deaminases, we developed an in-vitro approach that bypasses a major hurdle with their severe toxicity in expression hosts. We systematically assayed the activity of 175 putative cytosine deaminases on an unprecedented variety of substrates with epigenetically relevant base modifications. We found enzymes with high activity on double- and single-stranded DNA in various sequence contexts including novel CpG-specific deaminases, as well as enzymes without sequence preference. We also report, for the first time, enzymes that do not deaminate modified cytosines. The remarkable diversity of cytosine deaminases opens new avenues for biotechnological and medical applications. Using a newly discovered non-specific, modification-sensitive double-stranded DNA deaminase, we developed a nondestructive single-enzyme 5-methylctyosine sequencing (SEM-seq) method. SEM-seq enables accurate, high-coverage, base-resolution methylome mapping of scarce biological material including clinically relevant cell-free DNA (cfDNA) and single-cell equivalent 10 pg input DNA. Using SEM-seq, we generated highly reproducible base-resolution 5mC maps, accounting for nearly 80% of CpG islands for a low input human cfDNA sample offering valuable information for identifying potential biomarkers for detection of early-stage cancer and other diseases. This streamlined protocol will enable robust, high-throughput, high-coverage epigenome profiling of challenging samples in research and clinical settings.

molecular biology↗

bioRxiv2023

Simultaneous assessment of human genome and methylome data in a single experiment using limited deamination of methylated cytosine.

Multi-omics requires concerted recording of independent information, ideally from a single experiment. In this study, we introduce RIMS-seq2, a high-throughput technique to simultaneously sequence genomes and overlay methylation information while requiring only a small modification of the experimental protocol for high throughput DNA sequencing to include a controlled deamination step. Importantly, the rate of deamination of 5mC is negligible and thus, do not interfere with standard DNA sequencing and data processing. Thus, RIMS-seq2 libraries from whole or targeted genome sequencing show the same germline variation calling accuracy and sensitivity as compared to standard DNA-seq. Additionally, regional methylation levels provide an accurate map of the human methylome.

genomics↗

bioRxiv2023

Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target

With colorectal cancer (CRC) being the second most common cause of cancer-related deaths worldwide1, there is an urgent need for better diagnostic tools and new, more targeted therapies. Here we used genetically engineered mouse models (GEMMs), and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that unsupervised metabolic profiling can stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging (MSI) to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-mutant CRC, and propose one of its enzymes, i.e. adenosylhomocysteinase (AHCY), as a new therapeutic target. Collectively, we show that the profound genotype-dependent alterations in both lipid and small molecule metabolism in CRC may be exploited for tissue classification with no need for ion identification, and we applied further data analysis to expose a novel metabolic vulnerability of CRC.

cancer biology↗

bioRxiv2022

Differential Expression Analysis for Metatranscriptomics with Sample-Paired Metagenomics Data

1MotivationLarge microbial communities have contributed to essential ecosystems and multiple health and disease processes. Metatranscriptomics (MTX) is becoming increasingly important for profiling the gene expression pattern and functional activities of microbial communities. A fundamental task for analyzing the high-throughput sequencing data is the Differential Expression (DE) analysis, which aims to identify up/down-regulated genes/pathways across multiple conditions. However, DE analysis is complicated by the variation of underlying DNA copies, which is caused by the highly dynamic nature of microbial communities. The non-independent change between MTX and MGX may lead to false discoveries about which genes are biologically differentially expressed. Nevertheless, We can settle this problem by using the information from paired metagenomics (MGX) data. ResultsWe proposed the MetaDePair, a statistical model for DE analysis in MTX with paired MGX data. It relied on a conditional Negative-Binomial distribution to model the count data. We showed that the adjustment of underlying DNA copies could significantly eliminate the variations of RNA data, thus improving the power of statistical inference. Also, we found that appropriate pre-filtering of zeros can also improve the sensitivity and precision of the model. Moreover, we proposed a method to simulate the paired MTX and MGX data. Using simulated data and real microbial data sets, we demonstrated that our method has a high statistical power while controlling the false discovery rate (FDR). We applied the tool to oral microbiome data and identified significant genes that are associated with Early Childhood Caries (ECC). Our tool enabled a more accurate and effective DE analysis based on MTX with paired MGX data and helped us improve the understanding of the functional characterization of microbial communities.

genomics↗

bioRxiv2022

A comprehensive single cell data analysis of in lymphoblastoid cells reveals the role of Super-enhancers in maintaining EBV latency

We probed the lifecycle of EBV on a cell-by-cell basis using single cell RNA sequencing (scRNA-seq) data from nine publicly available lymphoblastoid cell lines (LCL). While the majority of LCLs comprised cells containing EBV in the latent phase, two other clusters of cells were clearly evident and were distinguished by distinct expression of host and viral genes. Notably, both were high expressors of EBV LMP1/BNLF2 and BZLF1 compared to another cluster that expressed neither gene. The two novel clusters differed from each other in their expression of EBV lytic genes, including glycoprotein gene GP350. The first cluster, comprising GP350-LMP1hi cells, expressed high levels of HIF1A and was transcriptionally regulated by HIF1-. Treatment of LCLs with Pevonedistat, a drug that enhances HIF1- signaling, markedly induced this cluster. The second cluster, containing GP350+LMP1hi cells, expressed EBV lytic genes. Host genes that are controlled by super-enhancers (SEs), such as transcription factors MYC and IRF4, had the lowest expression in this cluster. Functionally, the expression of genes regulated by MYC and IRF4 in GP350+LMP1hi cells were lower compared to other cells. Indeed, induction of EBV lytic reactivation in EBV+ AKATA reduced the expression of these SE-regulated genes. Furthermore, CRISPR-mediated perturbation of the MYC or IRF4 SEs in LCLs induced the lytic EBV gene expression, suggesting that host SEs and/or SE target genes are required for maintenance of EBV latency. Collectively, our study revealed EBV associated heterogeneity among LCLs that may have functional consequence on host and viral biology. ImportanceEpstein-Barr virus (EBV) establishes a life-long latency program within host cells. As such, EBV immortalized lymphoblastoid cells (LCLs) often carry the latent EBV genome and only a small percentage of LCLs containing lytic EBV. However, the cellular programs that distinguish latent from lytic cells and the heterogeneity of cells in latent or lytic phases remains poorly explored. To explore these unknowns, we reanalyzed publicly available single cell RNA-seq data from nine LCLs. This approach permitted the simultaneous study of cells in both latent and lytic phases. We identified three cell populations with distinct lytic/latent activity and further characterized the transcriptomes of these cells. We also identified a new role of super-enhancers in regulating EBV lytic replication. Collectively, our studies revealed EBV associated heterogeneity among LCLs that contribute to EBV life cycle and biology.

microbiology↗

bioRxiv2022

Methyl-SNP-seq reveals dual readouts of methylome and variome at molecule resolution.

Covalent modifications of genomic DNA are crucial for most organisms to survive. Amplicon-based high throughput sequencing technologies erase all DNA modifications to retain only sequence information for the four canonical nucleobases, necessitating specialized technologies for ascertaining epigenetic information. To also capture base modification information, we developed Methyl-SNP-seq, a technology that takes advantage of the complementarity of the double helix to extract the methylation and original sequence information from a single DNA molecule. More specifically, Methyl-SNP-seq uses bisulfite conversion of one of the strands to identify cytosine methylation while retaining the sequence of the other strand. As both strands are locked together to link the dual readouts on a single paired-end read, Methyl-SNP-seq allows detecting methylation status of any DNA even without a reference genome. Because one of the strands retains the original 4 nucleotide composition, Methyl-SNP-seq can also be used in conjunction with standard sequence-specific probes for targeted enrichment and amplification. We demonstrate the usefulness of this technology in a broad spectrum of applications ranging from allele-specific methylation analysis in humans to identification of methyltransferase specificity in complex bacterial communities.

genomics↗

bioRxiv2022

Assembly-free discovery of human novel sequences using long reads

DNA sequences that are absent in the human reference genome are classified as novel sequences. The discovery of these missed sequences is crucial for exploring the genomic diversity of populations and understanding the genetic basis of human diseases. However, various DNA lengths of reads generated from different sequencing technologies can significantly affect the results of novel sequences. In this work, we designed an Assembly-Free Novel Sequence (AF-NS) approach to identify novel sequences from Oxford Nanopore Technology long reads. Among the newly detected sequences using AF-NS, more than 95% were omitted from those using long-read assemblers, and 85% were not present in short reads of Illumina. We identified the common novel sequences among all the samples and revealed their association with the binding motifs of transcription factors. Regarding the placements of the novel sequences, we found about 70% enriched in repeat regions and generated 430 for one specific subpopulation that might be related to their evolution. Our study demonstrates the advance of the Assembly-Free approach to capture more novel sequences over other assembler based methods. Combining the long-read data with powerful analytical methods can be a robust way to improve the completeness of novel sequences.

bioinformatics↗

bioRxiv2022

RNA helicase DDX5 mediates adaptive response to multi-kinase inhibitors in liver cancer

ObjectiveTo determine the role of RNA helicase DDX5 in sorafenib/multi-tyrosine kinase inhibitor (mTKI) response. Sorafenib and mTKIs downregulate DDX5 in vitro and preclinical hepatocellular carcinoma (HCC) models. In turn, sorafenib-mediated DDX5 downregulation activates Wnt/{beta}-catenin and non-canonical NF-{kappa}B signaling, resulting in ferroptosis escape and mTKI resistance. Design and ResultsMolecular, pharmacologic and bioinformatic approaches were employed in human HCC cell lines, preclinical HCC models, and HCCs from TCGA. Earlier studies linked sorafenib effectiveness to ferroptosis. Herein we demonstrate sorafenib/mTKIs downregulate DDX5 in vitro and in vivo. To understand the effect of DDX5 downregulation, we compared TCGA-derived HCCs expressing low vs. high DDX5 focusing on ferroptosis-related genes. Glutathione Peroxidase 4 (GPX4), a key ferroptosis regulator, was significantly overexpressed in DDX5LOW HCCs. Importantly, DDX5-knockdown (DDX5KD) HCC cell lines lacked lipid peroxidation by GPX4 inhibition, indicating DDX5 downregulation suppresses ferroptosis. RNAseq of wild type vs. DDX5KD cells untreated or treated with sorafenib, identified a unique set of genes repressed by DDX5 and upregulated by sorafenib. This set significantly overlaps genes from Wnt/{beta}-catenin and non-canonical NF-{kappa}B pathways, including NF-{kappa}B inducing Kinase required for non-canonical NF-{kappa}B activation. Pharmacologic inhibition of these pathways in combination with sorafenib reduced DDX5KD cell viability. Mechanistically, sorafenib-mediated NIK expression induced NRF2 transcription, while DDX5KD extended NRF2 half/life by stabilizing p62/SQSTM1, enhancing GPX4 expression and ferroptosis escape. ConclusionSorafenib/mTKI-mediated DDX5 downregulation results in adaptive mTKI resistance by enhancing NRF2 expression, leading to ferroptosis escape. We propose inhibition of the pathways leading to NRF2 expression will enhance the therapeutic effectiveness of sorafenib/mTKIs. O_LIWhat is already known on this topic - In advanced HCC, mTKIs/sorafenib, offer limited survival benefits due to resistance. Combination of VEGF (bevacizumab) and PD-L1 antibody (atezolizumab) has led to its adoption as first line treatment; however, mTKIs are still widely used in patients with contra-indications to bevacizumab; also, in atezolizumab/bevacizumab failure, mTKIs are the gold standard in second or later-line systemic therapy, emphasizing the importance of delineating the mechanism of mTKI resistance. C_LIO_LIWhat this study adds - We show mTKIs and sorafenib downregulate the RNA helicase DDX5. This downregulation of DDX5 by sorafenib enables activation of Wnt/{beta}-catenin and non-canonical NF-{kappa}B pathways, leading to expression of genes that enable escape from ferroptotic cell death. C_LIO_LIHow this study might affect research, practice or policy The Wnt/{beta}-catenin and non-canonical NF-{kappa}B pathways activated by sorafenib/DDX5 downregulation can serve as druggable targets to enhance the anti-cancer effect of mTKIs by inducing ferroptosis, thereby opening-up new therapeutic directions against mTKI resistance. C_LI

cancer biology↗

bioRxiv2022

A chemical molecule promotes Trop2+ biliary duct organoids differentiation into insulin-secreting cells

Cell replacement therapy is a hopeful strategy for diabetes treatment, whereas lack of pancreas donors leads this strategy to a dilemma. Here, we demonstrate that Trop2 is a useful marker to enrich the progenitors with a long-term organoid formation capability from extrahepatic bile ducts in both mouse and human. Based on BMP7 initiation, the Trop2-positive mouse extrahepatic bile duct organoids (mBDOs) could be induced to produce 8.49 {+/-} 0.45% of insulin-secreting cells. We further screened out a chemical small molecule TLY142, which significantly increased the proportion of insulin-secreting cells to 19.9 {+/-} 0.62% and 25.50 {+/-} 4.82% in induced mouse and human extrahepatic bile duct organoids (hBDOs) in vitro, and transplantation of these differentiated organoids into STZ-induced diabetic nude mice remarkably improved their blood glucose and enhanced glucose sensitivity. This study provides a novel strategy that using small molecules promotes biliary duct organoids differentiation into {beta} cells to cure diabetes. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/483710v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@3c85b5org.highwire.dtl.DTLVardef@16e3874org.highwire.dtl.DTLVardef@13c509corg.highwire.dtl.DTLVardef@d0608f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2021

Survival mechanism of a novel marine multistress-tolerant Meyerozyma guilliermondii GXDK6 under high NaCl stress as revealed by integrative omics analysis

A novel strain named Meyerozyma guilliermondii GXDK6 was provided in this work, which was confirmed to survive independently under high salt stress (12% NaCl) or co-stress condition of strong acid (pH 3.0) and high salts (10% NaCl) without sterilization. Its survival mechanism under high salt stress was revealed by integrated omics for the first time. Whole-genome analysis showed that 14 genes (e.g., GPD1 and FPS1) of GXDK6 relevant to salt tolerance were annotated and known to belong to various salt-resistant mechanisms (e.g., regulation of cell signal transduction and glycerol metabolism controls). Transcriptome sequencing results indicated that 1220 genes (accounting for 10.15%) of GXDK6 were differentially transcribed (p < 0.05) when GXDK6 growth was under 10% stress for 16 h, including important novel salt-tolerant-related genes (e.g., RTM1 and YHB1). Proteomics analysis demonstrated that 1005 proteins (accounting for 27.26%) of GXDK6 were differentially expressed (p < 0.05) when GXDK6 was stressed by 10% NaCl. Some of the differentially expressed proteins were defined as the novel salt-tolerant related proteins (e.g., sugar transporter STL1 and NADPH-dependent methylglyoxal reductase). Metabolomic analysis results showed that 63 types of metabolites (e.g., D-mannose, glycerol and inositol phosphate) of GXDK6 were up- or downregulated when stressed by 10% NaCl. Among them, D-mannose is one of the important metabolites that could enhance the salt-tolerance survival of GXDK6. IMPORTANCEMicrobial contamination is a huge obstacle in industrial fermentation. The emergence of multistress-tolerant microorganism is expected to realize industrial fermentation without sterilization by controlling specific conditions. However, microorganisms eligible for non-sterile fermentation are required to survive independently under the selected special conditions for the fermentation conditions to be controlled to avoid microbial contamination. Here, a novel marine Meyerozyma guilliermondii was presented, which is able to survive well under high salt stress, its survival mechanism was systematically revealed by integrated omics technology. In addition, finding that NaCl stress could also stimulate the biosynthesis of functional metabolites from GXDK6 (e.g., calcitriol and didemnin B). Among the functional metabolites, calcitriol biosynthesis via microbial method was rarely reported. Thus, its biosynthetic mechanism was further revealed. The findings in this study contributed to understanding the survival mechanism of M. guilliermondii under high salt stress, and the development of new molecular drugs from M. guilliermondii GXDK6. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/450280v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@928135org.highwire.dtl.DTLVardef@60c713org.highwire.dtl.DTLVardef@1adb19dorg.highwire.dtl.DTLVardef@67caaa_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2021

HKG: An open genetic variant database of 205 Hong Kong Cantonese exomes

HKG is the first fully accessible variant database for Hong Kong Cantonese, constructed from 205 novel whole-exome sequencing data. There has long been a research gap in the understanding of the genetic architecture of southern Chinese subgroups, including Hong Kong Cantonese. HKG detected 196,325 high-quality variants with 5.93% being novel, and 25,472 variants were found to be unique in HKG compared to other Chinese populations (CHN). PCA illustrates the uniqueness of HKG in CHN, and IBD analysis revealed that it is related mostly to southern Chinese with a similar effective population size. An admixture study estimated the ancestral composition of HKG and CHN, with a gradient change from north to south, consistent with their geological distribution. ClinVar, CIViC and PharmGKB annotated 599 clinically significant variants and 360 putative loss-of-function variants, substantiating our understanding of population characteristics for future medical development. Among the novel variants, 96.57% were singleton and 6.85% were of high impact. With a good representation of Hong Kong Cantonese, we demonstrated better variant imputation using reference with the addition of HKG data, thus successfully filling the data gap in southern Chinese to facilitate the regional and global development of population genetics.

bioinformatics↗

bioRxiv2021

Emergence of a Hypervirulent Carbapenem-Resistant Klebsiella pneumoniae Co-harbouring a blaNDM-1-carrying Virulent Plasmid and a blaKPC-2-carrying Plasmid in an Egyptian Hospital

The emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP) isolates in Egyptian hospitals has been reported. However, the genetic basis and the analysis of the plasmids associated with CR-hypervirulent-KP (CR-HvKP) in Egypt are not presented. Therefore, we attempt to decipher the plasmids sequences, which are responsible for transferring the determinants of carbapenem-resistance, particularly the blaNDM-1 and blaKPC-2. Out of 34 K. pneumoniae isolates collected from two tertiary hospitals in Egypt, 31 were CRKP. Whole-genome sequencing revealed that our isolates were related to 13 different sequence types (STs). The most prevalent ST was ST101, followed by ST383, and ST11. Among the CRKP isolates, one isolate named EBSI036 has been reassessed using Nanopore sequencing. Genetic environment analysis showed that EBSI036 carried 20 antibiotic resistance genes and was identified as CR-HvKP strain, it harboured four plasmids, namely; pEBSI036-1-NDM-VIR, pEBSI036-2-KPC, pEBSI036-3, and pEBSI036-4. The two carbapenemase genes, blaNDM-1 and blaKPC-2, were located on plasmids pEBSI036-1-NDM-VIR and pEBSI036-2-KPC, respectively. The IncFIB:IncHI1B hybrid plasmid pEBSI036-1-NDM-VIR also carried some virulence factors, including regulator of the mucoid phenotype (rmpA), the regulator of mucoid phenotype 2 (rmpA2), and aerobactin (iucABCD, iutA). Thus, we set out this study to analyse in-depth the genetic basis of pEBSI036-1-NDM-VIR and pEBSI036-2-KPC plasmids. We reported for the first time a high-risk clone ST11 KL47 serotype of CR-HvKP strain isolated from the blood of a 60-year-old hospitalised female patient from the ICU in a tertiary-care hospital in Egypt, which showed the cohabitation of a novel hybrid plasmid coharbouring the blaNDM-1 and virulence genes, besides a blaKPC-2-carrying plasmid. IMPORTANCECRKP had been registered in the critical priority tier by the World Health Organization and became a significant menace to public health. Therefore, we set out this study to analyse in-depth the genetic basis of pEBSI036-1-NDM-VIR and pEBSI036-2-KPC plasmids. Herein, we reported for the first time (to the best of our knowledge) a high-risk clone ST11 KL47 serotype of CR-HvKP strain isolated from the blood of a 60-year-old hospitalised female patient in a tertiary-care hospital from the ICU in Egypt, which showed the cohabitation of a novel hybrid plasmid co-harbouring the blaNDM-1 and virulence genes, besides a blaKPC-2-carrying plasmid. Herein, the high rate of CRKP might be due to the continuous usage of carbapenems as empirical therapy, besides the failure to implement an antibiotic stewardship program in Egyptian hospitals. Thus, this study serves to alert the contagious disease clinicians to the presence of hypervirulence in CRKP isolates in Egyptian hospitals.

microbiology↗