Biology subjects

Dong, W.

Publications and source records attributed to Dong, W..

At least 91 records · Page 5Linked to original sources

bioRxiv2022

In vivo functional genomics identifies essentiality of potassium homeostasis in medulloblastoma

The identification of cancer maintenance genes--driver genes essential to tumor survival--is fundamental for developing effective cancer therapy. Transposon-based insertional mutagenesis screens can identify cancer driver genes broadly but not discriminate maintenance from progression or initiation drivers, which contribute to cancer phenotypes and tumorigenesis, respectively. We engineered a nested, double-jumping transposon system to first dysregulate gene expression during tumorigenesis and then restore gene expression following tumor induction, allowing for genome-wide screening of maintenance essentiality in vivo. In a mouse model of medulloblastoma, the most common pediatric malignancy, insertion and remobilization of this nested transposon uncovers potassium channel genes as recurrent maintenance drivers. In human medulloblastoma, KCNB2 is the most overexpressed potassium channel across Group 3, Group 4, and SHH subgroups, and Kcnb2 knockout in mice diminishes the replicative potential of medulloblastoma-propagating cells to mitigate tumor growth. Kcnb2 governs potassium homeostasis to regulate plasma membrane tension-gated EGFR signaling, which drives proliferative expansion of medulloblastoma-propagating cells. Thus, our novel transposon system reveals potassium homeostasis as essential to tumor maintenance through biomechanical modulation of membrane signaling.

cancer biology↗

bioRxiv2022

Modulating hierarchical learning by high-definition transcranial alternating current stimulation at theta frequency

Considerable evidence highlights the dorsolateral prefrontal cortex (DLPFC) as a key region for hierarchical (i.e., multi-level) learning. In a previous electroencephalography (EEG) study we found that the low-level prediction errors (PEs) were encoded by frontal theta oscillations (4-7Hz), centered on right DLPFC (rDLPFC). However, the causal relationship between frontal theta oscillations and hierarchical learning remains poorly understood. To investigate this question, in the current study, participants received theta (6Hz) and sham high-definition transcranial alternating current stimulation (HD-tACS) over the rDLPFC, while performing the probabilistic reversal learning task. Behaviorally, theta tACS induced a significant reduction in accuracy for the stable environment, but not for the volatile environment, relative to the sham condition. Computationally, we implemented a combination of a hierarchical Bayesian learning and a decision model. Theta tACS induced a significant increase in low-level (i.e., probability-level) learning rate and uncertainty of low-level estimation relative to sham condition. Instead, the temperature parameter of the decision model, which represents (inverse) decision noise, was not significantly altered due to theta stimulation. These results indicate that theta frequency may modulate the (low-level) learning rate. Furthermore, environmental features (e.g., its stability) may determine whether learning is optimized as a result.

neuroscience↗

bioRxiv2022

HIV proviral genetic diversity, compartmentalization and inferred dynamics in lung and blood during long-term suppressive antiretroviral therapy

The lung is an understudied site of HIV persistence. We isolated 882 subgenomic proviral sequences by single-genome approaches from blood and lung from nine individuals on long-term suppressive antiretroviral therapy (ART), and characterized genetic diversity and compartmentalization using formal tests. Consistent with clonal expansion as a driver of HIV persistence, identical sequences comprised between 9% to 86% of within-host datasets, though their location (blood vs. lung) followed no consistent pattern. The majority (77%) of participants harbored at least one sequence shared across blood and lung, supporting the migration of clonally-expanded cells between sites. No participant exhibited genetic compartmentalization so obvious that it was visually apparent in a phylogeny. When formal tests were applied however, two (22%) participants showed modest yet significant support for compartmentalization when analysis was restricted to distinct proviruses per site. This increased to four participants (44%) when considering all within-host sequences. Thus, while a minority of individuals harbor somewhat distinctive proviral populations in blood and lung, these can simply be due to unequal distributions of clonally-expanded sequences. Importantly, the extent of lung proviral diversity on ART strongly reflected that in blood (Spearman {rho} = 0.98, p < 0.0001), confirming blood as a strong indicator of total body proviral diversity. Analysis of on-ART proviral diversity in context of pre-therapy viral diversity in two participants revealed marked differences in proviral longevity and dynamics. Whereas one participants proviral pool was rich in ancestral sequences that recapitulated more of HIVs within-host evolutionary history, the others largely comprised more contemporary sequences, including ones that re-seeded the reservoir during a three-year treatment interruption. Results highlight the genetic complexity of proviruses persisting in lung and blood during ART, and the uniqueness of each individuals proviral composition. Individualized HIV remission and cure strategies may be needed to overcome these challenges. Author SummaryHIV persists in the body despite long-term suppressive antiretroviral therapy. Much of our knowledge about the HIV reservoir comes from studying proviruses in blood, but a fundamental question is whether these are distinct from those in tissues. The lung could theoretically engender genetically distinctive HIV populations, but this remains understudied. Our analysis of nearly 900 proviral sequences from blood and lung of nine individuals with HIV receiving long-term therapy revealed substantial within-host heterogeneity, yet some common patterns. Identical sequences (consistent with clonal expansion of infected cells) were observed in everyone, though at different (9-86%) frequencies. Recovery of shared sequences across blood and lung was common (77% of participants). Fewer than half of participants exhibited blood-lung genetic compartmentalization, and only modestly so. Moreover, when present, compartmentalization was often attributable to differential distribution of identical sequences, not the presence of genetically distinctive populations, across sites. Results also revealed marked inter-individual differences in proviral dynamics, as evidenced by the proportion of persisting proviruses that represented ancestral versus more recently-circulating viral sequences. Critically, the extent of within-host proviral diversity in blood correlated strongly with that in lung, indicating that despite inter-individual heterogeneity, blood is a strong indicator of proviral diversity elsewhere in the body.

molecular biology↗

bioRxiv2022

Oncogenic metabolic rewiring independent of proliferative control in human mammary epithelial cells

The use of isotopic tracers and metabolic flux analysis (MFA) has unveiled a number of metabolic pathways differentially activated in cancer cells. To support efforts to design effective metabolic therapies for cancer, we sought to distinguish metabolic behavior in cancer versus normal cells growing at the same rate. To this end, we performed 13C-isotope tracing and MFA in human mammary epithelial cells (HMECs) harboring different combinations of oncogenes. By introducing a new quantity termed metabolic flux intensity, defined as pathway flux divided by specific growth rate, we showed that metabolism is dually controlled by proliferation and oncogenotypes. 13C-MFA further revealed that oxidative pentose phosphate pathway (oxPPP), malate dehydrogenase (MDH) and isocitrate dehydrogenase (IDH) were most enhanced in cancerous HMECs. Drug targeting of these pathways selectively reduced growth in the tumorigenic HMEC line. Our study provides direct evidence that metabolism of cancer cells is different than that of normal proliferating cells.

biochemistry↗

bioRxiv2022

Hiplot: a comprehensive and easy-to-use web service boosting publication-ready biomedical data visualization

Modern web techniques provide an unprecedented opportunity for leveraging complex biomedical data generating in clinical, omics, and mechanism experiments. Currently, the functions for carrying out publication-ready biomedical data visualization represent primary technical hurdles in the state-of-art omics-based web services, whereas the demand for visualization-based interactive data mining is ever-growing. Here, we propose an easy-to-use web service, Hiplot (https://hiplot.com.cn), equipping with comprehensive and interactive biomedical data visualization functions (230+) including basic statistics, multi-omics, regression, clustering, dimensional reduction, meta-analysis, survival analysis, risk modeling, etc. We used the demo and real datasets to demonstrate the usage workflow and the core functions of Hiplot. It permits users to conveniently and interactively complete a few specialized visualization tasks that previously could only be done by senior bioinformatics or biostatistics researchers. A modern web client with efficient user interfaces and interaction methods has been implemented based on the custom components library and the extensible plugin system. The versatile output can also be produced in different environments via using the cross-platform portable command-line interface (CLI) program, Hctl. A switchable view between the editable data table and the file uploader/path selection could facilitate data importing, previewing, and exporting, while the plumber-based response strategy significantly reduced the time costs for generating basic scientific graphics. Diversified layouts, themes/styles, and color palettes in this website allow users to create high-quality and publication-ready graphics. Researchers devoted to both life and data science may benefit from the emerging web service.

bioinformatics↗

bioRxiv2022

Dynamic Turnover of PI4P and PI(4,5)P2 under Hypoxia Controls Electrostatic Plasma Membrane Targeting

Phosphatidylinositol 4-phosphate (PI4P) and phosphatidylinositol 4,5-biphosphate (PIP2) are key phosphoinositides that determine the identity of the plasma membrane (PM) and regulate numerous key biological events there. To date, mechanisms regulating the homeostasis and dynamic turnover of PM PI4P and PIP2 in response to various physiological conditions and stresses remain to be fully elucidated. Here we report that hypoxia in Drosophila induces acute and reversible depletion of PM PI4P and PIP2 that severely disrupts the electrostatic PM targeting of multiple polybasic polarity proteins. Genetically encoded ATP sensors confirmed that hypoxia induces acute and reversible reduction of cellular ATP levels which showed a strong real-time correlation with the levels of PM PI4P and PIP2 in cultured cells. By combining genetic manipulations with quantitative imaging assays we showed that PI4KIII, as well as Rbo/EFR3 and TTC7 that are essential for targeting PI4KIII to PM, are required for maintaining the homeostasis and dynamic turnover of PM PI4P and PIP2 under normoxia and hypoxia. Our results revealed that in cells challenged by energetic stresses triggered by hypoxia, ATP inhibition and possibly ischemia, dramatic turnover of PM PI4P and PIP2 could have profound impact on many cellular processes including electrostatic PM targeting of numerous polybasic proteins.

cell biology↗

bioRxiv2021

Ferroptosis Regulation by the NGLY1/NFE2L1 Pathway

Ferroptosis is an oxidative form of non-apoptotic cell death whose transcriptional regulation is poorly understood. Capncollar (CNC) transcription factors including Nuclear Factor Erythroid-2 Related Factor 1 (NFE2L1/NRF1) and NFE2L2 (NRF2) are important regulators of oxidative stress responses. Here, we report that NFE2L1 expression inhibits ferroptosis, independent of NFE2L2. NFE2L1 inhibits ferroptosis by promoting expression of the key anti-ferroptotic lipid hydroperoxidase glutathione peroxidase 4 (GPX4). NFE2L1 abundance and function are regulated post-translationally by N-glycosylation. Functional maturation of NFE2L1 requires deglycosylation by cytosolic peptide:N-glycanase 1 (NGLY1). We find that loss of NGLY1 or NFE2L1 enhances ferroptosis sensitivity. Expression of wild-type NGLY1 but not a disease-associated NGLY1 mutant inhibits ferroptosis, and this effect is dependent on the presence of NFE2L1. Enhanced ferroptosis sensitivity in NFE2L1 and NFE2L2 knockout cells can be potently reverted by expression of an NFE2L1 mutant containing eight asparagine-to-aspartate protein sequence substitutions, which mimic NGLY1-catalyzed sequence editing. Enhanced ferroptosis sensitivity in NGLY1/NFE2L1 pathway mutants could also be reversed by overexpression of NFE2L2. These results suggest that ferroptosis sensitivity is regulated by NGLY1-catalyzed NFE2L1 deglycosylation, and highlight a broad role for CNC transcription factors in ferroptosis regulation. Significance StatementFerroptosis is an oxidative form of cell death whose biochemical regulation remains incompletely understood. NFE2L1/NRF1 is a capncollar (CNC) transcription factor whose role in ferroptosis regulation is unclear. Unlike the CNC family member NFE2L2/NRF2, NFE2L1 is an N-glycoprotein whose abundance is regulated by post-translational deglycosylation catalyzed by the enzyme peptide:N-glycanase 1 (NGLY1). Our results indicate that NGLY1-mediated NFE2L1 deglycosylation, resulting in editing of the NFE2L1 amino acid sequence, is necessary for NFE2L1 to inhibit ferroptosis. Mechanistically, NFE2L1 inhibits ferroptosis by via the anti-ferroptotic protein GPX4. This work demonstrates that CNC transcription factors beyond NFE2L2 can regulate ferroptosis. This work may suggest a role of misregulation of ferroptosis in NGLY1 deficiency, an ultrarare genetic disorder.

cell biology↗

bioRxiv2021

FXa cleaves the SARS-CoV-2 spike protein and blocks cell entry to protect against infection with inferior effects in B.1.1.7 variant

The ongoing coronavirus disease 2019 (COVID-19) pandemic is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Human natural defense mechanisms against SARS-CoV-2 are largely unknown. Serine proteases (SPs) including furin and TMPRSS2 cleave SARS-CoV-2 spike protein, facilitating viral entry. Here, we show that FXa, a SP for blood coagulation, is upregulated in COVID-19 patients compared to non-COVID-19 donors and exerts anti-viral activity. Mechanistically, FXa cleaves the SARS-CoV-2 spike protein, which prevents its binding to ACE2, and thus blocks viral entry. Furthermore, the variant B.1.1.7 with several mutations is dramatically resistant to the anti-viral effect of FXa compared to wild-type SARA-CoV-2 in vivo and in vitro. The anti-coagulant rivaroxaban directly inhibits FXa and facilitates viral entry, whereas the indirect inhibitor fondaparinux does not. In a lethal humanized hACE2 mouse model of SARS-CoV-2, FXa prolonged survival while combination with rivaroxaban but not fondaparinux abrogated this protection. These preclinical results identify a previously unknown SP function and associated anti-viral host defense mechanism and suggest caution in considering direct inhibitors for prevention or treatment of thrombotic complications in COVID-19 patients.

microbiology↗

bioRxiv2021

Dual roles of a novel oncolytic viral vector-based SARS-CoV-2 vaccine: preventing COVID-19 and treating tumor progression

The ongoing coronavirus disease 2019 (COVID-19) pandemic is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Cancer patients are usually immunocompromised and thus are particularly susceptible to SARS-CoV-2 infection resulting in COVID-19. Although many vaccines against COVID-19 are being preclinically or clinically tested or approved, none have yet been specifically developed for cancer patients or reported as having potential dual functions to prevent COVID-19 and treat cancer. Here, we confirmed that COVID-19 patients with cancer have low levels of antibodies against the spike (S) protein, a viral surface protein mediating the entry of SARS-CoV-2 into host cells, compared with COVID-19 patients without cancer. We developed an oncolytic herpes simplex virus-1 vector-based vaccine named oncolytic virus (OV)-spike. OV-spike induced abundant anti-S protein neutralization antibodies in both tumor-free and tumor-bearing mice, which inhibit infection of VSV-SARS-CoV-2 and wild-type (WT) live SARS-CoV-2 as well as the B.1.1.7 variant in vitro. In the tumor-bearing mice, OV-spike also inhibited tumor growth, leading to better survival in multiple preclinical tumor models than the untreated control. Furthermore, OV-spike induced anti-tumor immune response and SARS-CoV-2-specific T cell response without causing serious adverse events. Thus, OV-spike is a promising vaccine candidate for both preventing COVID-19 and enhancing the anti-tumor response. One Sentence SummaryA herpes oncolytic viral vector-based vaccine is a promising vaccine with dual roles in preventing COVID-19 and treating tumor progression

microbiology↗

bioRxiv2021

The K18-hACE2 Transgenic Mouse Model Recapitulates Non-Severe and Severe COVID-19 in Response to Infectious Dose of SARS-CoV-2 Virus

A comprehensive analysis and characterization of a SARS-CoV-2 infection model that mimics non-severe and severe COVID-19 in humans is warranted for understating the virus and developing preventive and therapeutic agents. Here, we characterized the K18-hACE2 mouse model expressing human (h)ACE2 in mice, controlled by the human keratin 18 (K18) promoter, in epithelia, including airway epithelial cells where SARS-CoV-2 infections typically start. We found that intranasal inoculation with higher viral doses (2x103 and 2x104 PFU) of SARS-CoV-2 caused lethality of all mice and severe damage of various organs, including lungs, liver, and kidney, while lower doses (2x101 and 2x102 PFU) led to less severe tissue damage and some mice recovered from the infection. In this humanized hACE2 mouse model, SARS-CoV-2 infection damaged multiple tissues, with a dose-dependent effect in most tissues. Similar damage was observed in biopsy samples from COVID-19 patients. Finally, the mice that recovered after infection with a low dose of virus also survived rechallenge with a high dose of virus. Compared to other existing models, the K18-hACE2 model seems to be the most sensitive COVID-19 model reported to date. Our work expands the information available about this model to include analysis of multiple infectious doses and various tissues with comparison to human biopsy samples from COVID-19 patients. In conclusion, the K18-hACE2 mouse model recapitulates both severe and non-severe COVID-19 in humans and can provide insight into disease progression and the efficacy of therapeutics for preventing or treating COVID-19. ImportanceThe pandemic of COVID-19 has reached 112,589,814 cases and caused 2,493,795 deaths worldwide as of February 23, 2021, has raised an urgent need for development of novel drugs and therapeutics to prevent the spread and pathogenesis of SARS-CoV-2. To achieve this goal, an animal model that recapitulates the features of human COVID-19 disease progress and pathogenesis is greatly needed. In this study, we have comprehensively characterized a mouse model of SARS-CoV-2 infection using K18-hACE2 transgenic mice. We infected the mice with low and high doses of SARS-CoV-2 virus to study the pathogenesis and survival in response to different infection patterns. Moreover, we compared the pathogenesis of the K18-hACE2 transgenic mice with that of the COVID-19 patients to show that this model could be a useful tool for the development of anti-viral drugs and therapeutics.

microbiology↗

bioRxiv2021

Revealing the transcription factor regulatory context of human specific cortical development using single-cell multi-omics

Human behaviors are at least partially driven by genomic regions that influence human-specific neurodevelopment. This includes genomic regions undergoing human specific sequence acceleration (Human Accelerated Regions or HARs) and regions showing human-specific enhancer activity (Human Gained Enhancers or HGEs) not present in other primates. However, prior studies on HAR/HGE activities involved mixtures of brain cell types and focused only on putative downstream target genes. Here, we directly measured cell type specific HAR/HGE activity in the developing fetal human brain using two independent single-cell chromatin accessibility datasets with matching single-cell gene expression data. Transcription factor (TF) motif analyses identified upstream TFs binding to HARs/HGEs and identified LHX2, a key regulator of forebrain development, as an active HGE regulator in neuronal progenitors. We integrated our TF motif analyses with published chromatin interaction maps to build detailed regulatory networks where TFs are linked to downstream genes via HARs/HGEs. Through these networks, we identified a potential regulatory role for NFIC in human neuronal progenitor networks via modulating the Notch signaling and cell adhesion pathways. Therefore, by using a single cell multi-omics approach, we were able to capture both the upstream and downstream regulatory context of HARs/HGEs, which may provide a more comprehensive picture of the roles HARs/HGEs play amongst diverse fetal cell types of the developing human brain.

genomics↗

bioRxiv2021

Electrophysiological signatures of hierarchical learning

Human perception and learning is thought to rely on a hierarchical generative model that is continuously updated via precision-weighted prediction errors (pwPEs). However, the neural basis of such cognitive process and how it unfolds during decision making, remain poorly understood. To investigate this question, we combined a hierarchical Bayesian model (i.e., Hierarchical Gaussian Filter, HGF) with electrophysiological (EEG) recording, while participants performed a probabilistic reversal learning task in alternatingly stable and volatile environments. Behaviorally, the HGF fitted significantly better than two control, non-hierarchical, models. Neurally, low-level and high-level pwPEs were independently encoded by the P300 component. Low-level pwPEs were reflected in the theta (4-8 Hz) frequency band, but high-level pwPEs were not. Furthermore, the expressions of high-level pwPEs were stronger for participants with better HGF fit. These results indicate that the brain employs hierarchical learning, and encodes both low- and high-level learning signals separately and adaptively.

neuroscience↗

bioRxiv2021

Silkworm spinning: the programmed self-assembly from natural silk fibroin to superfibre

Silkworm silk is one of the best natural protein fibers spun by the silkworm at ambient temperature and pressure using aqueous silk protein solution. It is a great challenge to reproduce high-performance artificial fibers comparable to natural silk by bionics for the incomplete understanding of silkworm spinning mechanism, especially the structure and assembly of natural silk fibroin (NSF) in the silk gland. Here, we studied the structure and assembly of NSF with the assistance of amphipol and digitonin. Our results showed NSFs were present as nanofibrils primarily composed of random coils in the silk gland. Metal ions were vital for the formation of NSF nanofibrils. The successive decrease in pH from posterior silk gland (PSG) to anterior silk gland (ASG) resulted in a gradual increase in NSF hydrophobicity. NSF nanofibrils were randomly arranged from PSG to ASG-1, and then self-assembled into herringbone-like patterns near the spinneret (ASG-2) ready for silkworm spinning. Our study reveals the mechanism by which silkworms cleverly utilize metal ions and pH gradient in the silk gland to drive the programmed self-assembly of NSF from disordered nanofibrils to anisotropic liquid crystalline spinning dope (herringbone-like patterns) for silkworm spinning, thus providing novel insights into silkworm/spider spinning mechanism and bionic creation of high-performance fibers.

zoology↗

bioRxiv2020

SARS-CoV-2 RNA quantification using droplet digital RT-PCR

Quantitative viral load assays have transformed our understanding of - and ability to manage - viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time reverse transcriptase-polymerase chain reaction (RT-PCR), yield semi-quantitative results only. Reverse transcriptase droplet digital PCR (RT-ddPCR), a technology that partitions each reaction into 20,000 nanolitre-sized droplets prior to amplification, offers an attractive platform for SARS-CoV-2 RNA quantification. We evaluated eight primer/probe sets originally developed for real-time RT-PCR-based SARS-CoV-2 diagnostic tests for use in RT-ddPCR, and identified three (Charite-Berlin E-Sarbeco and Pasteur Institute IP2 and IP4) as the most efficient, precise and sensitive for RT-ddPCR-based SARS-CoV-2 RNA quantification. Analytical efficiency of the E-Sarbeco primer/probe set, for example, was ~83%, while assay precision, as measured by the coefficient of variation, was ~2% at 1000 input copies/reaction. Lower limits of quantification and detection for this primer/probe set were 18.6 and 4.4 input SARS-CoV-2 RNA copies/reaction, respectively. SARS-CoV-2 RNA viral loads in a convenience panel of 48 COVID-19-positive diagnostic specimens spanned a 6.2log10 range, confirming substantial viral load variation in vivo. We further calibrated RT-ddPCR-derived SARS-CoV-2 E gene copy numbers against cycle threshold (Ct) values from a commercial real-time RT-PCR diagnostic platform. The resulting log-linear relationship can be used to mathematically derive SARS-CoV-2 RNA copy numbers from Ct values, allowing the wealth of available diagnostic test data to be harnessed to address foundational questions in SARS-CoV-2 biology.

molecular biology↗

bioRxiv2020

Body site-specific and disease-specific virulome in the human microbiome

Human body habitats are home to a diverse array of microbes, and within these microbial ecosystems, there are exchanges of genetic material, including virulence factors (VFs). Little is known about the diversity and abundance of VFs in different body sites and different types of diseases. We developed a virulome analysis pipeline using the species-specific sequence identity inferred from intraspecies ANI values to precisely assign reads to virulence factors. We characterized the human virulome from four body habitats, including the gut, oral cavity, skin, and vagina. Specifically, the diversity and abundance of VFs in the oral cavity were significantly higher than those in other body sites, including stool. We highlight the importance of sex-specific analysis when studying the human virulome. We analyzed data from more than 4,000 samples across healthy and diseased subjects and 13 types of diseases from different metagenomic sequencing studies to characterize the disease-specific virulome. Atherosclerotic cardiovascular disease (ACVD) has a more diverse virulome than other diseases tested. Notably, many VFs, including genes for secretion systems and toxins, are more abundant in diseased subjects than in healthy controls. We present, to our knowledge, the most comprehensive healthy and diseased virulome dataset yet created.

genomics↗

bioRxiv2020

Comparative genomic analyses provide clues to capsule switch in Streptococcus suis

Streptococcus suis (S. suis) is a major bacterial pathogen in swine industry and also an emerging zoonotic agent. S. suis produces an important extracellular component, capsular polysaccharides (CPS). Based on which, dozens of serotypes have been identified. Through virulence genotyping, we uncovered the relatedness between proportions of SS2, SS3 and SS7 strains despite their differences in serotypes. Multi-locus sequence typing (MLST) was used to characterize whole S. suis population, revealing that there is capsule switch between S. suis strains. Importantly, capsule switch occurred in SS2, 3 and 7 strains belonging to CC28 and CC29, which is phylogenetically distinct from the main CC1 SS2 lineage. To further explore capsule switch in S. suis, comparative genomic analyses were performed using available S. suis complete genomes. Phylogenetic analyses suggested that SS2 strains can be divided into two clades (1 and 2), and those classified into clade 2 are colocalized with SS3 and SS7 strains, which is in accordance with above virulence genotyping and MLST analyses. Clade 2 SS2 strains presented high genetic similarity with SS3 and SS7 and shared common competence and defensive elements, but are significantly different from Clade 1 SS2 strains. Notably, although the cps locus shared by Clade 1 and 2 SS2 strains is almost the same, a specific region in cps locus of strain NSUI002 (Clade 2 SS2) can be found in SS3 cps locus, but not in Clade 1 SS2 strain. These data indicated that SS2 strains appeared in CC28 and CC29 might acquire cps locus through capsule switch, which could well explain the distinction of genetic lineages within SS2 population.

microbiology↗

bioRxiv2020

The selfish nature in interpersonal exchange among adolescents: imposing the kind and submitting to the exploitative

Cooperation is essential for success in society. Research consistently showed that adolescents are less cooperative than adults, which is often attributed to underdeveloped mentalizing that limits their expectations of others. However, the internal computations underlying this reduced cooperation remain largely unexplored. This study compared cooperation between adolescents and adults using a repeated Prisoners Dilemma Game. Adolescents cooperated less than adults, particularly after their partners cooperation. Computational modeling revealed that adults increased their intrinsic reward for reciprocating when their partner continued cooperating, a pattern absent in adolescents. Both computational modeling and self-reported ratings showed that adolescents did not differ from adults in building expectations of their partners cooperation. Therefore, the reduced cooperation appears driven by a lower intrinsic reward for reciprocity, reflecting a stronger motive to prioritize self-interest, rather than a deficiency in predicting others cooperation in social learning. These findings provide insights into the developmental trajectory of cooperation from adolescence to adulthood.

animal behavior and cognition↗

bioRxiv2020

Electrostatic Plasma Membrane Targeting is Essential for Dlg Function in Cell Polarity and Tumorigenesis

Discs large (Dlg) is an essential polarity protein and a tumor suppressor originally characterized in Drosophila but is also well conserved in vertebrates. Like the majority of polarity proteins, plasma membrane (PM)/cortical localization of Dlg is required for its function in polarity and tumorigenesis, but the exact mechanisms targeting Dlg to PM remain to be fully elucidated. Here we show that, similar to the recently discovered polybasic polarity proteins such as Lgl and aPKC, Dlg also contains a positively charged polybasic domain that electrostatically binds the PM phosphoinositides PI4P and PI(4,5)P2. Electrostatic targeting by the polybasic domain contributes significantly to the PM localization of Dlg in follicular and early embryonic epithelial cells, and is crucial for Dlg to regulate both polarity and tumorigenesis. The electrostatic PM targeting of Dlg is controlled by a potential phosphorylation-dependent allosteric regulation of its polybasic domain, and is specifically enhanced by the interactions between Dlg and another basolateral polarity protein and tumor suppressor Scrib. Our studies highlight an increasingly significant role of electrostatic PM targeting of polarity proteins in regulating cell polarity.

developmental biology↗