Biology subjects

Cui, W.

Publications and source records attributed to Cui, W..

66 records · Page 4Linked to original sources

bioRxiv2020

Tissue-resident CD4+ T helper cells assist protective respiratory mucosal B and CD8+ T cell memory responses

The roles of CD4+ T helper cells (TH) in shaping localized memory B and CD8+ T cell immunity in the mucosal tissues are largely unexplored. Here, we report that lung TH cells provide local assistance for the optimal development of tissue-resident memory B (BRM) and CD8+ T (TRM) cells following the resolution of primary influenza virus infection. We identify a population of tissue-resident CD4+ TH (aka TRH) cells that co-exhibit follicular T helper (TFH) and TRM cell features and mediate local help of CD4+ T cells to B and CD8+ T cells. Optimal TRH cell formation requires lung B cells and transcription factors involved in TFH or TRM development. Further, we show that TRH cells deliver local help to B and CD8 T cells through CD40L and IL-21-dependent mechanisms. Our data have uncovered a new tissue-resident TH cell population that is specialized in assisting the development of mucosal protective B and CD8+ T cell responses in situ.

immunology↗

bioRxiv2019

The effect of resource dynamics on species packing in diverse ecosystems

The competitive exclusion principle asserts that coexisting species must occupy distinct ecological niches (i.e. the number of surviving species can not exceed the number of resources). An open question is to understand if and how different resource dynamics affect this bound. Here, we analyze a generalized consumer resource model with externally supplied resources and show that - in contrast to self-renewing resources - species can occupy only half of all available environmental niches. This motivates us to construct a new schema for classifying ecosystems based on species packing properties.

biophysics↗

bioRxiv2019

Rapidly cycling stem cells regenerate the intestine independent of Lgr5high cells

The +4 cells in intestinal crypts are DNA damage-resistant and contribute to regeneration. However, their exact identity and the mechanism underlying +4 cell-mediated regeneration remain unclear. Using lineage tracing, we show that cells marked by an Msi1 reporter (Msi1+) are enriched at the +4 position in intestinal crypts and exhibit DNA damage resistance. Single-cell RNA sequencing reveals that the Msi1+ cells are heterogeneous with the majority being intestinal stem cells (ISCs). The DNA damage-resistant subpopulation of Msi1+ cells is characterized by low-to-negative Lgr5 expression and is more rapidly cycling than Lgr5high radio-sensitive crypt base columnar stem cells (CBCs); they enable fast repopulation of the intestinal epithelium independent of CBCs that are largely depleted after irradiation. Furthermore, relative to CBCs, Msi1+ cells preferentially produce Paneth cells during homeostasis and upon radiation repair. Together, we demonstrate that the DNA damage-resistant Msi1+ cells are rapidly cycling ISCs that maintain and regenerate the intestinal epithelium.

cell biology↗

bioRxiv2019

Epigenomic analysis of Parkinson’s disease neurons identifies Tet2 loss as neuroprotective

PD pathogenesis may involve the epigenetic control of enhancers that modify neuronal functions. Here, we comprehensively profile DNA methylation at enhancers, genome-wide, in neurons of 57 PD patients and 48 control individuals. We found a widespread increase in cytosine modifications at enhancers in PD neurons, which is partly explained by elevated hydroxymethylation levels. Epigenetic dysregulation of enhancers in PD converge on transcriptional abnormalities affecting neuronal signaling and immune activation pathways. In particular, PD patients exhibit an epigenetic and transcriptional upregulation of TET2, a master-regulator of cytosine modification status. TET2 inactivation in a neuronal cell line results in cytosine modification changes that are reciprocal to those observed in PD neurons. Furthermore, Tet2 inactivation in mice fully prevents dopaminergic neuronal loss in the substantia nigra induced by prior inflammation. Tet2 loss in mice also attenuates transcriptional immune responses to an inflammatory trigger. Thus, widespread epigenetic dysregulation of enhancers in PD neurons may, in part, be mediated by increased TET2 expression. Decreased Tet2 activity is neuroprotective, in vivo, and may be a novel therapeutic target for PD.

neuroscience↗

bioRxiv2019

Transcriptional Differences of Peanut (Arachis hypogaea L.) Seeds in the Fresh-harvest, After-ripened and Just-germinated States: insights into regulatory networks of seed dormancy-release and germination

Seed dormancy and germination are the two important traits related to plant survival and reproduction, and crop yield. To understand their regulation mechanism, it is crucial to clarify which genes or which pathways participate in the regulation of these processes. However, little information is available during the procedure of seed dormancy and germination in peanut. In this study, the seeds of the variety Luhua No.14 with non-deep dormancy were selected and its transcriptional changes at three developmental stages: the fresh-harvest (FS), the after-ripened (DS) and the just-germinated seeds (GS), were investigated by comparative transcriptomics analysis. The results showed that genes with increased transcription in DS vs FS comparison were overrepresented for oxidative phosphorylation, glycolysis pathway and tricarboxylic acid cycle (TCA), suggesting that after a period of drying storage, the intermediates stored in dry seeds were rapidly mobilized by glycolysis, TCA cycle, glyoxylate cycle, etc.; the electron transport chain accompanying with respiration has been reactivated to provide ATP for mobilization of other reserves and seed germination. In GS vs DS pairwise, dozens of the up-regulated genes were related to plant hormone biosynthesis and signal transduction, including the majority of components in auxin signal pathway, and brassinosteroid biosynthesis and signal transduction, and some GA and ABA signal transduction genes. During seeds germination, the expression of some EXPANSIN and XYLOGLUCAN ENDOTRANSGLYCOSYLASE was also significantly enhanced. To investigate the effect of different hormone during the procedure of seed germination, the contents and the differential distribution of ABA, GA, BR and IAA in cotyledon, hypocotyl and radicle, and plumule of three seed sections at different developmental stages were also detected. Combining with previous data in other species, a model of regulatory network related to peanut seed germination was developed. This model will helpful to gain further understanding of the mechanisms controlling seed dormancy and germination.

plant biology↗

bioRxiv2019

A minimal model for microbial biodiversity can reproduce experimentally observed ecological patterns

Surveys of microbial biodiversity such as the Earth Microbiome Project (EMP) and the Human Microbiome Project (HMP) have revealed robust ecological patterns across different environments. A major goal in ecology is to leverage these patterns to identify the ecological processes shaping microbial ecosystems. One promising approach is to use minimal models that can relate mechanistic assumptions at the microbe scale to community-level patterns. Here, we demonstrate the utility of this approach by showing that the Microbial Consumer Resource Model (MiCRM) - a minimal model for microbial communities with resource competition, metabolic crossfeeding and stochastic colonization - can qualitatively reproduce patterns found in survey data including compositional gradients, dissimilarity/overlap correlations, richness/harshness correlations, and nestedness of community composition. By using the MiCRM to generate synthetic data with different environmental and taxonomical structure, we show that large scale patterns in the EMP can be reproduced by considering the energetic cost of surviving in harsh environments and HMP patterns may reflect the importance of environmental filtering in shaping competition. We also show that recently discovered dissimilarity-overlap correlations in the HMP likely arise from communities that share similar environments rather than reflecting universal dynamics. We identify ecologically meaningful changes in parameters that alter or destroy each one of these patterns, suggesting new mechanistic hypotheses for further investigation. These findings highlight the promise of minimal models for microbial ecology.

microbiology↗

bioRxiv2019

De novo mutations in fetal brain specific enhancers play a significant role in severe intellectual disability

PurposeThe genetic aetiology of a major fraction of patients with intellectual disability (ID) remains unknown. De novo mutations (DNMs) in protein-coding genes explain up to 40% of cases, but the potential role of regulatory DNMs is still poorly understood.\n\nMethodsWe sequenced 70 whole genomes from 24 ID probands and their unaffected parents and analyzed 30 previously sequenced genomes from exome-negative ID probands.\n\nResultsWe found that DNVs were selectively enriched in fetal brain-specific enhancers that show purifying selection in human population. DNV containing enhancers were associated with genes that show preferential expression in the pre-frontal cortex, have been previously implicated in ID or related disorders, and exhibit intolerance to loss of function variants. DNVs from ID probands preferentially disrupted putative binding sites of neuronal transcription factors, as compared to DNVs from healthy individuals and most showed allele-specific enhancer activity. In addition, we identified recurrently mutated enhancer clusters that regulate genes involved in nervous system development (CSMD1, OLFM1 and POU3F3). Moreover, CRISPR-based perturbation of a DNV-containing enhancer caused CSMD1 overexpression and abnormal expression of neurodevelopmental regulators.\n\nConclusionOur results, therefore, provide new evidence to indicate that DNVs in constrained fetal brain-specific enhancers play a role in the etiology of ID.

genomics↗

bioRxiv2019

The Community Simulator: A Python package for microbial ecology

Natural microbial communities contain hundreds to thousands of interacting species. For this reason, computational simulations are playing an increasingly important role in microbial ecology. In this manuscript, we present a new open-source, freely available Python package called Community Simulator for simulating microbial population dynamics in a reproducible, transparent and scalable way. The Community Simulator includes five major elements: tools for preparing the initial states and environmental conditions for a set of samples, automatic generation of dynamical equations based on a dictionary of modeling assumptions, random parameter sampling with tunable levels of metabolic and taxonomic structure, parallel integration of the dynamical equations, and support for metacommunity dynamics with migration between samples. To significantly speed up simulations using Community Simulator, our Python package implements a new Expectation-Maximization (EM) algorithm for finding equilibrium states of community dynamics that exploits a recently discovered duality between ecological dynamics and convex optimization. We present data showing that this EM algorithm improves performance by between one and two orders compared to direct numerical integration of the corresponding ordinary differential equations. We conclude by listing several recent applications of the Community Simulator to problems in microbial ecology, and discussing possible extensions of the package for directly analyzing microbiome compositional data.

ecology↗

bioRxiv2019

Diverse communities behave like typical random ecosystems

With a brief letter to Nature in 1972, Robert May triggered a worldwide research program in theoretical ecology and complex systems that continues to this day[1]. Building on powerful mathematical results about large random matrices, he argued that systems with sufficiently large numbers of interacting components are generically unstable. In the ecological context, Mays thesis directly contradicted the longstanding ecological intuition that diversity promotes stability[2-4]. In economics and finance, Mays work helped to consolidate growing concerns about the fragility of an increasingly interconnected global marketplace[5-7]. In this Letter, we draw on recent theoretical progress in random matrix theory and statistical physics to fundamentally extend and reinterpret Mays theorem. We confirm that a wide range of ecological models become unstable at the point predicted by May, even when the models do not strictly follow his assumptions. Surprisingly, increasing the interaction strength or diversity beyond the May threshold results in a reorganization of the ecosystem - through extinction of a fixed fraction of species - into a new stable state whose properties are well described by purely random interactions. This self-organized state remains stable for arbitrarily large ecosystem and suggests a new interpretation of Mays original conclusions: when interacting complex systems with many components become sufficiently large, they will generically undergo a transition to a \"typical\" self-organized, stable state.

ecology↗

bioRxiv2019

The Minimum Environmental Perturbation Principle: A New Perspective on Niche Theory

Contemporary niche theory is a powerful conceptual framework for understanding how organisms interact with each other and with their shared environment. Here we show that a large segment of niche theory is equivalent to a Minimum Environmental Perturbation Principle (MEPP): ecosystems self-organize into a state that minimizes the impact of organisms on their environment. Different choices of environmental dynamics naturally give rise to distinct dissimilarity measures for quantifying environmental impact. The MEPP allows for the analysis of ecosystems with large numbers of species and environmental factors and provides a new avenue for analyzing ecological invasions. The MEPP also rigorously connects ecological bistability with the existence of multiple minima in a statistical-physics inspired landscapes. We show that the presence of environmental feedbacks where organisms can produce new resources in addition to depleting them violates the global MEPP. However, even in the presence of such feedbacks, a weaker, local version of the MEPP still applies in a limited region of resource space.

ecology↗

bioRxiv2019

Assessment of gibberellin (GA4+7) mediated changes on grain filling, hormonal behaviour and antioxidants in high-density maize (Zea Mays L.)

Dense plant cultivation is an efficient approach to improve the maize production by maximizing the utilization of energy and nutrient. However, dense plant populations may aggravate the abortion rate of young grains and result in fewer number of kernels per ear. Grain filling rate and duration play a decisive role in maize grain yield. Therefore, increasing plant density, consideration of enhancing the grain filling rate and duration of individual maize plant and regulating crop senescence would be the first priority. In this study, we examined the regulatory effects of GA4+7 under two application methods (shank-smearing and silk-smearing). Shank-soaking with GA4+7 at the rate of 0 (CK1), 10 (T1), 60 (T2), and 120 (T3) mg L-1, while silk-smearing at the rate of 0 (CK2), 10 (S1), 60 (S2), and 120 (S3) mg L-1 were used. The results showed that GA4+7 improved the grain filling rate by increasing the content of auxin, gibberellin and zeatin and abscisic acid in grains compared to control plants. In addition, The auxin, gibberellin and zeatin contents in the grains were positively and significantly correlated with the maximum grain weight and the maximum and mean grain-filling rates; the abscisic acid level was positively correlated with the maximum grain weight and the maximum and mean grain-filling rates. Moreover, GA4+7 increased the activities of superoxide dismutases, catalases, peroxidases, and reduced the malondialdehyde content in leaves compared with untreated plants. At the rate of 60 mg L-1, GA4+7 showed the greatest effect for shank-smearing and silk-smearing (T2 and S2), followed by 10 mg L-1 (T1) for shank-smearing and 120 mg L-1 (S3) for silk-smearing. Our results suggest that application of 60 mg L-1 GA4+7 for smearing application could efficiently be used for changed the level of hormones in grains and antioxidant enzymes in ear leaf, would be useful for enhancing grain filling rate and delaying leaves senescence, and resulting in an increasing of maize grain yield.

plant biology↗

bioRxiv2018

Available energy fluxes drive a phase transition in the diversity, stability, and functional structure of microbial communities

A fundamental goal of microbial ecology is to understand what determines the diversity, stability, and structure of microbial ecosystems. The microbial context poses special conceptual challenges because of the strong mutual influences between the microbes and their chemical environment through the consumption and production of metabolites. By analyzing a generalized consumer resource model that explicitly includes cross-feeding, stochastic colonization, and thermodynamics, we show that complex microbial communities generically exhibit a transition as a function of available energy fluxes from a "resource-limited" regime where community structure and stability is shaped by energetic and metabolic considerations to a diverse regime where the dominant force shaping microbial communities is the overlap between species consumption preferences. These two regimes have distinct species abundance patterns, different functional profiles, and respond differently to environmental perturbations. Our model reproduces large-scale ecological patterns observed across multiple experimental settings such as nestedness and differential beta diversity patterns along energy gradients. We discuss the experimental implications of our results and possible connections with disorder-induced phase transitions in statistical physics.

biophysics↗