Biology subjects

Dong, Q.

Publications and source records attributed to Dong, Q..

At least 73 records · Page 4Linked to original sources

bioRxiv2023

A bi-kinase module sensitizes and potentiates plant immune signaling

Systemic signaling is an essential hallmark of multicellular life. Pathogen encounter occurs locally but triggers organ-scale and organismic immune responses. In plants, elicitor perception provokes systemically expanding Ca2+ and H2O2 signals conferring immunity. Here, we identify a Ca2+ sensing bi-kinase module as becoming super-activated through mutual trans-phosphorylation and imposing synergistically enhanced NADPH oxidase activation. A combined two-layer bi-kinase/substrate phospho-code allows for sensitized signaling initiation already by near-resting elevations of Ca2+ concentration at the infection site. Subsequently, it facilitates further signal wave proliferation with minimal amplitude requirement, triggering protective defense responses throughout the plant. Our study reveals how plants build and perpetuate trans-cellular immune signal proliferation while avoiding disturbance of ongoing cellular signaling along the path of response dissemination. One sentence summaryMutual trans-activation of a Ca2+ sensing bi-kinase module potentiates NADPH oxidase activation to facilitate systemic immunity.

plant biology↗

bioRxiv2023

Virulence and genomic diversity among clinical isolates of ST1 (BI/NAP1/027) Clostridioides difficile

Clostridioides difficile (C. difficile), a leading cause of nosocomial infection, produces toxins that damage the colonic epithelium and results in colitis that varies from mild to fulminant. Variation in disease severity is poorly understood and has been attributed to host factors (age, immune competence and intestinal microbiome composition) and/or virulence differences between C. difficile strains, with some, such as the epidemic BI/NAP1/027 (MLST1) strain, being associated with greater virulence. We tested 23 MLST1(ST1) C. difficile clinical isolates for virulence in antibiotic-treated C57BL/6 mice. All isolates encoded a complete Tcd pathogenicity locus and achieved similar colonization densities in mice. Disease severity varied, however, with 5 isolates causing lethal infections, 16 isolates causing a range of moderate infections and 2 isolates resulting in no detectable disease. The avirulent ST1 isolates did not cause disease in highly susceptible Myd88-/- or germ-free mice. Genomic analysis of the avirulent isolates revealed a 69 base-pair deletion in the N-terminus of the cdtR gene, which encodes a response regulator for binary toxin (CDT) expression. Genetic deletion of the 69 base-pair cdtR sequence in the highly virulent ST1 R20291 C. difficile strain rendered it avirulent and reduced toxin gene transcription in cecal contents. Our study demonstrates that a natural deletion within cdtR attenuates virulence in the epidemic ST1 C. difficile strain without reducing colonization and persistence in the gut. Distinguishing strains on the basis of cdtR may enhance the specificity of diagnostic tests for C. difficile colitis.

microbiology↗

bioRxiv2023

Design and fabrication of a low-cost microfluidic cartridge with integrated pressure-driven check valve for molecular diagnostics platforms

This paper describes the design, fabrication, and preliminary testing of a low-cost, easy to manufacture microfluidics cartridge capable of fluid storage and manipulation through a custom pressure-driven check valve. Cartridge components are fabricated using a desktop CNC and laser cutter, the check valve is fabricated using PDMS in a custom acrylic mold, and the components are assembled using a thermal diffusion welder. Following assembly, preliminary testing of the cartridge, including fluid manipulation and use for molecular diagnostics, was performed. To pull a sample into the lysing chamber, a vacuum over 1.4PSI was required. No opening of the valve to the reaction chamber was observed. Moving fluid across the custom valve from the lysing chamber to the reaction chamber then required a vacuum over 4.5PSI. Finally, a proof-of-concept demonstration of one potential application was performed using a custom benchtop LAMP system for molecular diagnostic testing. The low-cost nature of the design, ease of manufacturing, fluid storage and manipulation demonstrated make this design ideal for research and high-volume testing in low resource environments. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/522222v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@13ebeb5org.highwire.dtl.DTLVardef@5a8ffaorg.highwire.dtl.DTLVardef@1a27cd5org.highwire.dtl.DTLVardef@b1bc2e_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical abstractCustom cartridge is fabricated using a combination of a) benchtop laser cutter and b) benchtop micromilling machine. c) Components are then assembled with a 0.22{micro}m micron filter and custom plug-style check valve. d) The cartridge assembly is then bonded using a thermal diffusion bonder. e) By pulling a vacuum through the first air trap, a sample can be pulled into the pre-filled lysing chamber. f) Pulling a vacuum through the second air trap, the lysed sample can then be pulled into the pre-filled reaction chamber. g) For a proof of concept, the filled cartridge was then tested in a custom benchtop Loop Mediated Isothermal System. Following a heating cycle, reaction fluoresce can be monitored. h) An S-Curve observed through the custom LAMP system, thus demonstrating feasibility of the cartridge for use with molecular diagnostic platforms.

bioengineering↗

bioRxiv2022

Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence

Cortical thinning is an important hallmark of the maturation of brain morphology during childhood and adolescence. However, the connectome-based wiring mechanism that underlies cortical maturation remains unclear. Using neuroimaging, connectome, transcriptome, and computational modeling, we mapped cortical thinning patterns primarily located in lateral frontal and parietal heteromodal nodes during childhood and adolescence, which is structurally constrained by white matter network architecture and is particularly represented using a network-based diffusion model. Furthermore, connectome-based constraints are regionally heterogeneous, with the largest constraints residing in frontoparietal nodes, and are associated with gene expression signatures of microstructural neurodevelopmental events. These results are highly reproducible while using another independent dataset. Our findings advance our understanding of network-level mechanisms and the associated genetic basis that underlies the maturational process of cortical morphology during childhood and adolescence.

neuroscience↗

bioRxiv2022

Cell cycle and temporal transcription factors regulate proliferation and neuronal diversity of dedifferentiation-derived neural stem cells

Dedifferentiation is the reversion of differentiated cells to a stem cell like fate, whereby, the gene expression program of mature cells is altered and genes associated with multipotency are expressed. Appropriate terminal differentiation of NSCs is essential for restricting the overall number of neurons produced; in addition, faithful production of neuronal subtypes that populate the brain is important for NSC function. Both characteristics of NSCs are specified through temporal patterning of the NSCs driven by the successive expression of temporal transcription factors (tTFs). In this study, we found that ectopic NSCs induced via bHLH transcription factor Deadpan (Dpn) expression fail to undergo timely expression of temporal transcription factors (tTFs), where they express mid-tTF, Sloppy-paired 1 (Slp-1) and fail to express late-tTF Tailless (Tll); consequently generating an excess of Twin of eyeless (Toy) positive neurons at the expense of Reversed polarity (Repo) positive glial cells. In addition to disrupted production of neuronal/glial progeny, Dpn overexpression also resulted in stalled progression through the cell cycle, and a failure to undergo timely terminal differentiation. Mechanistically, DamID studies demonstrated that Dpn directly binds to both Dichaete (D), a Sox-box transcription factor known to repress Slp-1, as well as a number of cell cycle genes. Promoting cell cycle progression or overexpression of D were able to re-trigger the progression of the temporal series in dedifferentiated NBs, restoring both neuronal diversity and timely NB terminal differentiation.

developmental biology↗

bioRxiv2022

Growth mindset promotes children's working memory performance through cortico-striatal interaction and fronto-parietal activation

Growth mindset--the belief that abilities are malleable through effort--drives motivation, action and achievement. Yet, the underlying mechanisms remain elusive, necessitating a unified framework that integrates cognitive, neural, and developmental processes. Leveraging longitudinal neuroimaging and computational modeling to reveal moment-to-moment decision responses and brain state dynamics during working memory (WM), we show that growth mindset enhances WM development from middle childhood to adolescence via nuanced cortico-striatal network dynamics that balance between brain state flexibility and stability. Behaviorally, children with higher growth mindset exhibited better WM performance both cross-sectionally and longitudinally, attributed to faster evidence accumulation during moment-to-moment information updating, especially under high task demands. Neurally, a higher growth mindset was associated with greater activation of the dorsal striatum, cingulo-opercular (action-mode), and fronto-parietal networks during WM, which further accounted for longitudinal WM improvement and latent evidence accumulation. Such cortico-striatal activation covaried with neurochemical mediators critical for motivation and executive functioning. Analyzing non-stationary network dynamics revealed that growth mindset optimized dynamical organization of cortico-striatal networks, with an activated state highly flexible to support moment-to-moment information updating and a deactivated state remaining stable across blocks to suppress irrelevant information. This suggests a balanced allocation of resources for accumulating evidence while suppressing noise during WM. Together, our findings support a neurocognitive framework in which growth mindset enhances WM development via nuanced orchestration of cortico-striatal networks to enable efficient dynamic computations and foster far-reaching cognitive development.

neuroscience↗

bioRxiv2022

Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability

Mentalising ability, indexed as the ability to understand others beliefs, feelings, intentions, thoughts and traits, is a pivotal and fundamental component of human social cognition. However, considering the multifaceted nature of mentalising ability, little research has focused on characterising individual differences in different mentalising components. And even less research has been devoted to investigating how the variance in the structural and functional patterns of the amygdala and hippocampus, two vital subcortical regions of the social brain, are related to inter-individual variability in mentalising ability. Here, as a first step toward filling these gaps, we exploited inter-subject representational similarity analysis (IS-RSA) to assess relationships between amygdala and hippocampal morphometry (surface-based multivariate morphometry statistics, MMS), connectivity (resting-state functional connectivity, rs-FC) and mentalising ability (interactive mentalisation questionnaire (IMQ) scores) across the participants (N = 24). In IS-RSA, we proposed a novel pipeline, i.e., computing patching and pooling operations-based surface distance (CPP-SD), to obtain a decent representation for high-dimensional MMS data. On this basis, we found significant correlations (i.e., secondorder isomorphisms) between these three distinct modalities, indicating that a trinity existed in idiosyncratic patterns of brain morphometry, connectivity and mentalising ability. Notably, a region-related mentalising specificity emerged from these associations: self-self and self-other mentalisation are more related to the hippocampus, while other-self mentalisation shows a closer link with the amygdala. Furthermore, by utilising the dyadic regression analysis, we observed significant interactions such that subject pairs with similar morphometry had even greater mentalising similarity if they were also similar in rs-FC. Altogether, we demonstrated the feasibility and illustrated the promise of using IS-RSA to study individual differences, deepening our understanding of how individual brains give rise to their mentalising abilities.

neuroscience↗

bioRxiv2022

IKKalpha-Mediated Non-canonical NF-kappaB Signaling is Required to Support Murine Gammaherpesvirus 68 Latency In Vivo

Non-canonical NF-kappaB signaling is activated in B cells via TNF receptor superfamily members CD40, Lymphotoxin beta-R, and BAFF-R. The non-canonical pathway is required at multiple stages of B-cell maturation and differentiation, including the germinal center reaction. However, the role of this pathway in gammaherpesvirus latency is not well understood. Murine gammaherpesvirus 68 (MHV68) is a genetically tractable system used to define pathogenic determinants. Mice lacking the BAFF-R exhibit defects in splenic follicle formation and are greatly reduced for MHV68 latency. We report a novel approach to disrupt non-canonical NF-kappaB signaling exclusively in cells infected with MHV68. We engineered a recombinant virus that expresses a dominant negative form of IKKalpha, named IKK-SA, with S176A and S180A mutations that prevent phosphorylation by NIK. We controlled for the transgene insertion by introducing two all-frame stop codons into the IKK-SA gene. The IKK-SA mutant but not the IKK-SA.STOP control virus impaired LTbetaR-mediated activation of NF-kappaB p52 upon fibroblast infection. IKK-SA expression did not impact replication in primary fibroblasts or in the lungs of mice following intranasal inoculation. However, the IKK-SA mutant was severely defective in colonization of the spleen and in the establishment of latency compared to the IKK-SA.STOP control and WT MHV68 at 16 dpi. Reactivation was undetectable in splenocytes infected with the IKK-SA mutant, but reactivation in peritoneal cells was not impacted by IKK-SA. Taken together, the non-canonical NF-kappaB signaling pathway is essential for the establishment of latency in the secondary lymphoid organs of mice infected with the murine gammaherpesvirus pathogen MHV68. IMPORTANCEThe latency programs of the human gammaherpesviruses EBV and KSHV are associated with B cell lymphomas. It is critical to understand the signaling pathways that are used by gammaherpesviruses to establish and maintain latency in primary B cells. We used a novel approach to block non-canonical NF-kappaB signaling only in the infected cells of mice. We generated a recombinant virus that expresses a dominant negative mutant of IKKalpha that is non-responsive to upstream activation. Latency was reduced in a route- and cell type-dependent manner in mice infected with this recombinant virus. These findings identify a significant role for the non-canonical NF-kappaB signaling pathway that might provide a novel target to prevent latent infection of B cells with oncogenic gammaherpesviruses.

microbiology↗

bioRxiv2021

FEDERATED MORPHOMETRY FEATURE SELECTION FOR HIPPOCAMPAL MORPHOMETRY ASSOCIATED BETA-AMYLOID AND TAU PATHOLOGY

Amyloid-{beta} (A{beta}) plaques and tau protein tangles in the brain are now widely recognized as the defining hallmarks of Alzheimers disease (AD), followed by structural atrophy detectable on brain magnetic resonance imaging (MRI) scans. One of the particular neurodegenerative regions is the hippocampus to which the influence of A{beta}/tau on has been one of the research focuses in the AD pathophysiological progress. This work proposes a novel framework, Federated Morphometry Feature Selection (FMFS) model, to examine subtle aspects of hippocampal morphometry that are associated with A{beta}/tau burden in the brain, measured using positron emission tomography (PET). FMFS is comprised of hippocampal surface-based feature calculation, patch-based feature selection, federated group LASSO regression, federated screening rule-based stability selection, and region of interest (ROI) identification. FMFS was tested on two ADNI cohorts to understand hippocampal alterations that relate to A{beta}/tau depositions. Each cohort included pairs of MRI and PET for AD, mild cognitive impairment (MCI) and cognitively unimpaired (CU) subjects. Experimental results demonstrated that FMFS achieves an 89x speedup compared to other published state-of-the-art methods under five independent hypothetical institutions. In addition, the subiculum and cornu ammonis 1 (CA1 subfield) were identified as hippocampal subregions where atrophy is strongly associated with abnormal A{beta}/tau. As potential biomarkers for A{beta}/tau pathology, the features from the identified ROIs had greater power for predicting cognitive assessment and for survival analysis than five other imaging biomarkers. All the results indicate that FMFS is an efficient and effective tool to reveal associations between A{beta}/tau burden and hippocampal morphometry.

neuroscience↗

bioRxiv2021

Development of Functional Connectome Gradients during Childhood and Adolescence

Connectome mapping studies have documented a principal primary-to-transmodal gradient in the adult brain network, capturing a functional spectrum which ranges from perception and action to abstract cognition. However, how this gradient pattern develops and whether its development is linked to cognitive growth, topological reorganization, and gene expression profiles remain largely unknown. Using longitudinal resting-state functional magnetic resonance imaging data from 305 children (ages 6-14), we describe substantial changes in the primary-to-transmodal gradient between childhood and adolescence, including emergence as the principal gradient, expansion of global topography, and focal tuning in primary and default-mode regions. These gradient changes are mediated by developmental changes in network integration and segregation, and are associated with abstract processing functions such as working memory and expression levels of calcium ion regulated exocytosis, synaptic transmission, and axon and synapse part related genes. Our findings have implications for understanding connectome maturation principles in normal development and developmental disorders. TeaserOur study reported the maturation of the core connectome gradient and its association with cognitions and genes expression.

neuroscience↗

bioRxiv2021

High-quality Arabidopsis thaliana genome assembly with Nanopore and HiFi long reads

Arabidopsis thaliana is an important and long-established model species for plant molecular biology, genetics, epigenetics, and genomics. However, the latest version of reference genome still contains significant number of missing segments. Here, we report a high-quality and almost complete Col-0 genome assembly with two gaps (Col-XJTU) using combination of Oxford Nanopore Technology ultra-long reads, PacBio high-fidelity long reads, and Hi-C data. The total genome assembly size is 133,725,193 bp, introducing 14.6 Mb of novel sequences compared to the TAIR10.1 reference genome. All five chromosomes of Col-XJTU assembly are highly accurate with consensus quality (QV) scores > 60 (ranging from 62 to 68), which are higher than those of TAIR10.1 reference (QV scores ranging from 45 to 52). We have completely resolved chromosome (Chr) 3 and Chr5 in a telomere-to-telomere manner. Chr4 has been completely resolved except the nucleolar organizing regions, which comprise long repetitive DNA fragments. The Chr1 centromere (CEN1), reportedly around 9 Mb in length, is particularly challenging to assemble due to the presence of tens of thousands of CEN180 satellite repeats. Using the cutting-edge sequencing data and novel computational approaches, we assembled about 4 Mb of sequence for CEN1 and a 3.5-Mb-long CEN2. We investigated the structure and epigenetics of centromeres. We detected four clusters of CEN180 monomers, and found that the centromere-specific histone H3-like protein (CENH3) exhibits a strong preference for CEN180 cluster 3. Moreover, we observed hypomethylation patterns in CENH3-enriched regions. We believe that this high-quality genome assembly, Col-XJTU, would serve as a valuable reference to better understand the global pattern of centromeric polymorphisms, as well as genetic and epigenetic features in plants.

genomics↗

bioRxiv2021

Structural variants contribute to pangenome evolution of a plant pathogenic fungus

Genetic variation is the driving force of plant-pathogen co-evolution. Large-scale genetic variations such as structural variations (SVs) often alter genome stability and organismal fitness. However, the pangenomic landscape and functional implications of SVs remain largely unexplored in plant pathogens. Here, we characterized the pangenomic and SV landscape in wheat head blight fungus Fusarium graminearum by producing and comparing chromosome-level (average contig N50 of 8.9 Mb) genome assemblies of 98 accessions using a reference-guided approach. Accounting for 29.05% and 19.01% of F. graminearum pangenome, respectively, accessory and private genomes are enriched with functions related to membrane trafficking, metabolism of fatty acids and tryptophans, with the private also enriched with putative effectors. Furthermore, using chromosome-level assemblies, we detected 52,420 SVs, 69.51% of which are inaccessible using read-mapping based approach. Over a half (55.65%) of 52,645 merged SVs affected 1,660 protein-coding genes, the most variable of which are involved in fungal virulence, cellular contact and communications. Interestingly, highly variable effectors and secondary metabolic enzymes are co-localized with SVs at subtelomeric and centromeric regions. Collectively, this landmark study shows the prevalence and functional relevance of SVs in F. graminearum, providing a valuable resource for future pangenomic studies in this cosmopolitan pathogen of cereal crops.

genomics↗

bioRxiv2021

Development of Large-Scale Brain Network Dynamics in Children

Functional brain networks require dynamic reconfiguration to support flexible cognitive function. However, the developmental principles shaping brain network dynamics remain poorly understood. Here, we report the longitudinal development of large-scale brain network dynamics during childhood and adolescence, and its connection with gene expression profiles. Using a multilayer network model, we show the temporally varying modular architecture of child brain networks, with higher network switching primarily in the association cortex and lower switching in the primary regions. This topographical profile exhibits progressive maturation, which manifests as reduced modular dynamics, particularly in the transmodal (e.g., default-mode and frontoparietal) and sensorimotor regions. These developmental refinements mediate age-related enhancements of global network segregation and are linked with the expression profiles of genes associated with the enrichment of ion transport and nucleobase-containing compound transport. These results highlight a progressive stabilization of brain dynamics, which expand our understanding of the neural mechanisms that underlie cognitive development.

neuroscience↗

bioRxiv2020

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,125 Individuals from the ADNI and OASIS Databases

Biomarker-assisted preclinical/early detection and intervention in Alzheimers disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (A{beta}) plaques in the human brain. However, current methods to detect A{beta} pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prior studies show that MRI-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. Here we attempt to use MRI-MMS to make inferences regarding brain A{beta} burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse coding and max-pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each subject. Then we apply these individual representations and a binary random forest classifier to predict brain A{beta} positivity for each person. We test our method in two independent cohorts, 841 subjects from the Alzheimers Disease Neuroimaging Initiative (ADNI) and 260 subjects from the Open Access Series of Imaging Studies (OASIS). Experimental results suggest that our proposed PASCS-MP method and MMS can discriminate A{beta} positivity in people with mild cognitive impairment (MCI) (Accuracy (ACC)=0.89 (ADNI)) and in cognitively unimpaired (CU) individuals (ACC=0.79 (ADNI) and ACC=0.81 (OASIS)). These results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM), and our prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.

bioinformatics↗

bioRxiv2020

Microrisk Lab: an online freeware for predictive microbiology

Microrisk Lab was designed as an interactive modeling freeware to realize parameter estimation and model simulation in predictive microbiology. This tool was developed based on the R programming language and Shinyapps.io server, and designed as a fully responsive interface to the internet-connected devices. A total of 36 peer-reviewed models were integrated for parameter estimation (including primary models of bacterial growth/ inactivation under static and non-isothermal conditions, secondary models of specific growth rate, and competition models of two-flora growth) and model simulation (including integrated models of deterministic or stochastic bacterial growth/ inactivation under static and non-isothermal conditions) in Microrisk Lab. Each modeling section was designed to provide numerical and graphical results with comprehensive statistical indicators depending on the appropriate dataset and/ or parameter setting. In this research, six case studies were reproduced in Microrisk Lab and compared in parallel to DMFit, GInaFiT, IPMP 2013/ GraphPad Prism, Bioinactivation FE, and @Risk, respectively. The estimated and simulated results demonstrated that the performance of Microrisk Lab was statistically equivalent to that of other existing modeling system in most cases. Microrisk Lab allowed for uniform user experience to implement microbial predictive modeling by its friendly interfaces, high-integration, and interconnectivity. It might become a useful tool for the microbial parameter determination and behavior simulation. Non-commercial users could freely access this application at https://microrisklab.shinyapps.io/english/.

microbiology↗

bioRxiv2020

Chromosome-scale genome assembly of Fusarium oxysporum strain Fo47, a fungal endophyte and biocontrol agent

Here, we report a chromosome-level genome assembly of Fusarium oxysporum strain Fo47 (12 pseudomolecules; contig N50: 4.52Mb), generated using a combination of PacBio long-read, Illumina pair-ended and Hi-C sequencing data. Although F. oxysporum causes vascular wilt to over 100 plant species, the strain Fo47 is classified as an endophyte and widely used as a biocontrol agent for plant disease control. The Fo47 genome carries a single accessory chromosome of 4.23 Mb, compared to the reference genome of F. oxysporum f.sp. lycopersici strain Fol4287. The high-quality assembly and annotation of the Fo47 genome will be a valuable resource for studying the mechanisms underlying the endophytic interactions between F. oxysporum and plants, as well as deciphering the genome evolution of the F. oxysporum species complex.

genomics↗

bioRxiv2020

Hedgehog signalling and lipid metabolism in glia regulate neural stem cell proliferation in Drosophila

The final size and function of the adult central nervous system (CNS) is determined by neuronal lineages generated by neural stem cells (NSCs) in the developing brain. In Drosophila, NSCs called neuroblasts (NBs) reside within a specialised microenvironment called the glial niche. Here, we explore non-autonomous glial regulation of NB proliferation. We show that lipid droplets (LDs) which reside within the glial niche are closely associated with the signalling molecule Hedgehog (Hh). Under physiological conditions, cortex glial Hh is autonomously required to sustain niche chamber formation, and non-autonomously restrained to prevent ectopic Hh signalling in the NBs. In the context of cortex glial overgrowth, induced by Fibroblast Growth Factor (FGF) activation, Hh and lipid storage regulators Lsd-2 and Fasn1 were upregulated, resulting in activation of Hh signalling in the NBs; which in turn disrupted NB cell cycle progression and reduced neuronal production. We show that the LD regulator Lsd-2 modulates Hhs ability to signal to NBs, and de novo lipogenesis gene Fasn1 regulates Hh post-translational modification via palmitoylation. Together, our data suggest that the glial niche non-autonomously regulates NB proliferation and neural lineage size via Hh signaling that is modulated by lipid metabolism genes.

developmental biology↗

bioRxiv2020

Chroococcidiorella tianjinensis, gen. et sp. nov. (Trebouxiophyceae, Chlorophyta), a green alga arises from the cyanobacterium TDX16

All algae documented so far are of unknown origin. Here, we provide a taxonomic description of the first origin-known alga TDX16-DE that arises from the Chroococcidiopsis-like endosymbiotic cyanobacterium TDX16 by de novo organelle biogenesis after acquiring its green algal host Haematococcus pluvialiss DNA. TDX16-DE is spherical or oval, with a diameter of 2.0-3.6 {micro}m, containing typical chlorophyte pigments of chlorophyll a, chlorophyll b and lutein and reproducing by autosporulation, whose 18S rRNA gene sequence shows the highest similarity of 99.7% to that of Chlorella vulgaris. However, TDX16-DE is only about half the size of C. vulgaris and structurally similar to C. vulgaris only in having a chloroplast-localized pyrenoid, but differs from C. vulgaris in that (1) it possesses a double-membraned cytoplasmic envelope but lacks endoplasmic reticulum and Golgi apparatus; and (2) its nucleus is enclosed by two sets of envelopes (four unit membranes). Therefore, based on these characters and the cyanobacterial origin, we describe TDX16-DE as a new genus and species, Chroococcidiorella tianjinensis gen. et sp. nov., which sets the basis for multidisciplinary research.

plant biology↗