Biology subjects

Yan, H.

Publications and source records attributed to Yan, H..

At least 163 records · Page 9Linked to original sources

bioRxiv2021

The VTA-BLA-NAc circuit for sex reward inhibited by VTA GABAergic neurons under stress in male mice

Anhedonia, inability to experience pleasure from rewarding or enjoyable activities, is the prominent symptom of depression that involves dysfunction of the reward processing system. Both genetic predisposition and life events are thought to increase the risk for depression, in particular life stress. The cellular mechanism underlying stress modulating the reward processing neural circuits and subsequently disrupting reward-related behaviors remains elusive. We identify the VTA-BLA-NAc pathway as being activated by sex reward. Blockade of this circuit induces depressive-like behaviors, while reactivation of VTA neurons associated with sexual rewarding experience acutely ameliorates the impairment of reward-seeking behaviors induced by chronic restraint stress. Our histological and electrophysiological results show that the VTA neuron subpopulation responding to restraint stress inhibits the responsiveness of the VTA dopaminergic neurons to sexual reward. Together, these results reveal the cellular mechanism by which stress influences the brain reward processing system and provide a potential target for depression treatment.

neuroscience↗

bioRxiv2021

Identifying long non-coding RNAs and characterizing their functional roles in swine mammary gland from colostrogenesis to lactogenesis

Long non-coding RNAs (lncRNAs) play important regulatory roles in milk biological processes. While, little is known about the identification and function of swine lncRNAs in response to mammary gland development. Here, we identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition using the published RNA-seq data. The expression pattern of these DE lncRNAs was examined, and most of lncRNAs expressions were strongly changed from Day -2 to Day +1. Functional annotation revealed that the DE lncRNAs were mainly involved in the mammary gland developing, lactation developing, milk composition metabolism and colostrum function. By performing the weighted gene co-expression network analysis (WGCNA), we identified 7 out of 12 lncRNA-mRNA modules, including 35 lncRNAs and 319 mRNAs, which were highly associated with the mammary gland at Day -14, Day -2 and Day +1. Integrated analysis of the DE lncRNAs expression pattern examination, targets prediction, function annotation and WGCNA suggested that 18 lncRNAs (such as, XLOC_020627, ENSSSCG00000051193, XLOC_025150, ENSSSCG00000042618, XLOC_963181, ENSSSCG00000051701, XLOC_018030, and XLOC_025146) and their 20 target genes (such as, ACTN4, ADCY1, CSN3, SMO, CSN2, PRKAG2, FIBCD1, and GALNT7), were considered as the promising candidates for swine parturition and colostrum occurrence processes. Our research provided the insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine.

genetics↗

bioRxiv2021

Activity and stress during a critical period regulate olfactory sensory neuron differentiation

Here, we reveal that the regulation of Drosophila odorant receptor (OR) expression during the pupal stage is permissive and imprecise. We found that olfactory sensory neuron activity directly after hatching both directs and refines OR expression. We demonstrate that, as in mice, dLsd1 and Su(var)3-9 balance heterochromatin formation to direct OR expression. Neuronal activity induces dLsd1 and Su(var)3-9 expression, linking neuronal activity to OR expression. OR expression refinement shows a restricted duration, suggesting a gene regulatory critical period brings olfactory sensory neuron differentiation to an end. Consistent with a change in differentiation, stress during the critical period represses dLsd1 and Su(var)3-9 expression and makes the early permissive OR expression permanent. This induced permissive gene regulatory state makes OR expression resilient to stress later in life. Hence, during a critical period, OR activity feedback similar to in mouse OR selection, defines adult OR expression in Drosophila.

neuroscience↗

bioRxiv2020

Reproducible abnormalities of functional gradient reliably predict clinical and cognitive symptoms in schizophrenia

BackgroundSchizophrenia (SZ) typically manifests heterogeneous phenotypes involving positive, negative and cognitive symptoms. However, the underlying neural mechanisms of these symptoms keep unclear. Functional gradient is a fascinating measure to characterize continuous, hierarchical organization of brain. MethodsWe aimed to investigate whether reproducible disruptions of functional gradient existed in SZ compared to normal controls (NC), and these abnormalities were associated with severity of clinical and cognitive symptoms in SZ. All analyses were implemented in two independent large-sample multi-site datasets (discovery dataset, 400 SZ and 336 NC; replication dataset, 279 SZ and 262 NC). First, functional gradient across cerebral cortex was calculated in each subject. Second, vertex-wise comparisons of cortical gradient between SZ and NC groups were performed to identify abnormalities in SZ. Meanwhile, reproducible and robustness analyses were implemented to validate these abnormalities. Finally, regression analyses were performed using generalized additive models to link these abnormalities to severity of clinical and cognitive symptoms in SZ. ResultsWe found an abnormal gradient map in SZ in the discovery dataset, which was reproducible in the replication dataset. The abnormal gradient pattern was also robust when performing methodological alternatives and control analyses. Further, these reproducible abnormalities can reliably predict symptoms of clinical and cognitive domains across the two independent datasets. ConclusionThese findings demonstrated that alterations in functional gradient can provide a reliable signature of SZ, characterizing the heterogenous symptoms of clinical or cognitive domains, and may be further investigated to understand the neurobiological mechanisms of these symptoms. Impact StatementIn our study, using functional gradient measure and statistical learning technology and two independent multi-site case-control resting-state fMRI datasets (discovery dataset: 736 subjects; replication dataset: 541 subjects), we comprehensively investigated functional hierarchical organization in the cerebral cortex of SZ and its association with interindividual severity of symptoms. We found reproducible and robust abnormalities of functional gradient existed in SZ, which provided a reliable signature to characterize negative and general psychopathology symptoms, as well as cognitive deficits. Our findings can provide new insights to understand the neurobiological mechanisms of clinical and cognitive symptoms in SZ.

neuroscience↗

bioRxiv2020

Identification of cell-type marker genes from plant single-cell RNA-seq data using machine learning

An essential step in the analysis of single-cell RNA sequencing data is to classify specific cell types with marker genes. In this study, we have developed a machine learning pipeline called Single cell Predictive markers (SPmarker) to identify novel cell-type marker genes in the Arabidopsis root. Unlike traditional approaches, our method uses interpretable machine learning methods to select marker genes. We have demonstrated that our method can (1) assign cell types based on cells that were labeled using published methods, (2) project cell types identified by trajectory analysis from one dataset to other datasets, and (3) assign cell types based on internal GFP markers. Using SPmarker, we have identified hundreds of new marker genes that were not identified before. As compared to known marker genes, we have found more orthologous genes of these new marker genes in corresponding rice single cell clusters. We have also found 172 new marker genes for trichoblast in five non-Arabidopsis species, which expands number of marker genes for this cell type by 35-154%. Our results represent a new approach to identify cell-type marker genes from scRNA-seq data and pave the way for cross-species mapping of scRNA-seq data in plants.

bioinformatics↗

bioRxiv2020

High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network

Image processing technologies are available for high-throughput acquisition and analysis of phenotypes for crop populations, which is of great significance for crop growth monitoring, evaluation of seedling condition, and cultivation management. However, existing methods rely on empirical segmentation thresholds, thus can have insufficient accuracy of extracted phenotypes. Taking maize as an example crop, we propose a phenotype extraction approach from top-view images at the seedling stage. An end-to-end segmentation network, named PlantU-net, which uses a small amount of training data, was explored to realize automatic segmentation of top-view images of a maize population at the seedling stage. Morphological and color related phenotypes were automatic extracted, including maize shoot coverage, circumscribed radius, aspect ratio, and plant azimuth plane angle. The results show that the approach can segment the shoots at the seedling stage from top-view images, obtained either from the UAV or ground high-throughput phenotyping platform. The average segmentation accuracy, recall rate, and F1 score are 0.96, 0.98, and 0.97, respectively. The extracted phenotypes, including maize shoot coverage, circumscribed radius, aspect ratio, and plant azimuth plane angle, are highly correlated with manual measurements (R2=0.96-0.99). This approach requires less training data and thus has better expansibility. It provides practical means for high-throughput phenotyping analysis of early growth stage crop populations.

plant biology↗

bioRxiv2020

Co-infection of influenza A virus enhances SARS-CoV-2 infectivity

The upcoming flu season in the northern hemisphere merging with the current COVID-19 pandemic raises a potentially severe threat to public health. Through experimental co-infection of IAV with either pseudotyped or SARS-CoV-2 live virus, we found that IAV pre-infection significantly promoted the infectivity of SARS-CoV-2 in a broad range of cell types. Remarkably, increased SARS-CoV-2 viral load and more severe lung damage were observed in mice co-infected with IAV in vivo. Moreover, such enhancement of SARS-CoV-2 infectivity was not seen with several other viruses probably due to a unique IAV segment as an inducer to elevate ACE2 expression. This study illustrates that IAV has a special nature to aggravate SARS-CoV-2 infection, and prevention of IAV is of great significance during the COVID-19 pandemic.

microbiology↗

bioRxiv2020

Glycan-induced protein dynamics in human norovirus P dimers depend on virus strain and deamidation status

Noroviruses are the major cause of gastroenteritis and re-emerge worldwide every year, with GII.4 currently being the most frequent human genotype. The norovirus capsid protein VP1 is essential for host immune response. The P domain mediates cell attachment via histo blood-group antigens (HBGAs) in a strain-dependent manner but how these glycan-interactions actually relate to cell entry remains unclear. Here, hydrogen/deuterium exchange mass spectrometry (HDX-MS) is used to investigate glycan-induced protein dynamics in P dimers of different strains, which exhibit high structural similarity but different prevalence in humans. While the almost identical strains GII.4 Saga and GII.4 MI001 share glycan-induced dynamics, the dynamics differ in the emerging GII.17 Kawasaki 308 and rare GII.10 Vietnam 026 strain. We also further examine structural effects of N373 deamidation upon glycan binding in partially deamidated GII.4 P dimers, which are likely present during infection. Such mixed species exhibit increased exposure to solvent in the P dimer upon glycan binding as opposed to pure wildtype. Furthermore, deamidated P dimers display increased flexibility and a monomeric population. Our results indicate that glycan binding induces strain-dependent structural dynamics, which are further altered by N373 deamidation, and hence hint at a role of deamidation in modulating cell attachment and entry in GII.4 strains.

biophysics↗

bioRxiv2020

New evidence concerning the genome designations of the AC(DC) tetraploid Avena species

The tetraploid Avena species in the section Pachycarpa Baum, including A. insularis, A. maroccana, and A. murphyi, are thought to be involved in the evolution of hexaploid oats; however, their genome designations are still being debated. Repetitive DNA sequences play an important role in genome structuring and evolution, so understanding the chromosomal organization and distribution of these sequences in Avena species could provide valuable information concerning genome evolution in this genus. In this study, the chromosomal organizations and distributions of six repetitive DNA sequences (including three SSR motifs (TTC, AAC, CAG), one 5S rRNA gene fragment, and two oat A and C genome specific repeats) were investigated using non-denaturing fluorescence in situ hybridization (ND-FISH) in the three tetraploid species mentioned above and in two hexaploid oat species. Preferential distribution of the SSRs in centromeric regions was seen in the A and D genomes, whereas few signals were detected in the C genomes. Some intergenomic translocations were observed in the tetraploids; such translocations were also detected between the C and D genomes in the hexaploids. These results provide robust evidence for the presence of the D genome in all three tetraploids, strongly suggesting that the genomic constitution of these species is DC and not AC, as had been thought previously.

genetics↗

bioRxiv2020

A longitudinal study of white matter functional network in mild traumatic brain injury

The mild traumatic brain injury (mTBI) results in traumatic axonal injury, which damages the long-distance white matter (WM) connections and thus disrupts the functional connectome of large-scale brain networks that support cognitive function. Patterns of WM structural damage following mTBI were well documented using diffusion tensor imaging, however, the functional organization of WM and its association with grey matter functional networks (GM-FNs) and cognitive assessments remains unknown. The present study adopted resting-state functional magnetic resonance imaging to explore WM functional properties in mTBI patients (113 acute patients, 56 chronic patients, 47 healthy controls (HCs)). Eleven large-scale WM functional networks (WM-FNs) were constructed by the k-means clustering algorithm which carried out in voxel-wise WM functional connectivity (FC). Compared to HCs, acute mTBI patients showed enhanced FC between inferior fronto-occipital fasciculus (IFOF) WM-FN and primary sensorimotor WM-FNs, and cortical primary sensorimotor GM-FNs. And FC between IFOF WM-FN and anterior cerebellar GM-FN was positively correlated with information processing speed. Moreover, all of these WM-FNs abnormalities were returned to the normal level at the chronic stage. Our findings suggest the compensatory mechanism of cognitive deficits in the acute stage and its involvement in facilitating recovery from cognitive deficits in the chronic stage. The convergent damage of the IFOF network highlighted its key role in our understanding of the pathophysiology mechanism of mTBI patients and thus might be regarded as a biomarker in the acute stage and a potential indicator of treatment effect.

neuroscience↗

bioRxiv2020

Reappraisal of Spinach-based RNA Visualization in Plants

RNAs can be imaged in living cells using molecular beacons, RNA-binding labeled proteins and RNA aptamer-based approaches. However, Spinach RNA-mimicking GFP (RMG) has not been successfully used to monitor cellular RNAs in plants. In this study, we re-evaluated Spinach-based RNA visualization in different plants via transient, transgenic, and virus-based expression strategies. We found that like bacterial, yeast and human cellular tRNAs, plant tRNAs such as tRNALys (K) can protect and/or stabilize the spinach RNA aptamer interaction with the fluorophore DFHBI enabling detectable levels of green fluorescence to be emitted. The tRNALys-spinach-tRNALys (KSK), once delivered into "chloroplast-free" onion epidermal cells can emit strong green fluorescence in the presence of DFHBI. Transgenic or virus-based expression of monomer KSK, in either stably transformed or virus-infected Nicotinana benthamiana plants, failed to show RMG fluorescence. However, incorporating tandem repeats of KSK into recombinant viral RNAs, enabled qualitative and quantitative detection, both in vitro and ex vivo (ex planta), of KSK-specific green fluorescence, though RMG was less obvious in vivo (in planta). These findings demonstrate Spinach-based RNA visualization has the potential for ex vivo and in vivo monitoring RNAs in plant cells. One sentence summarySpinach-based RMG technology was reevaluated to have potential for ex vivo and in vivo monitoring RNAs in plant cells.

plant biology↗

bioRxiv2020

Pancreatic Cancer Intrinsic PI3Kα Activity accelerates Metastasis and rewires Macrophage Component

Pancreatic ductal adenocarcinoma (PDAC) patients frequently suffer from undetected micrometastatic disease. This clinical situation would greatly benefit from additional investigation. Therefore, we set out to identify key signalling events that drive metastatic evolution from the pancreas. We researched a gene signature that could discriminate localised PDAC from confirmed metastatic PDAC and devised a preclinical protocol using circulating cell-free DNA (cfDNA) as an early biomarker of micro-metastatic disease to validate the identification of key signalling events. Amongst actionable markers of disease progression, the PI3K pathway and a distinctive PI3K activation signature predict PDAC aggressiveness and prognosis. Pharmacological or tumour-restricted genetic PI3K-selective inhibition prevented macro-metastatic evolution by inhibiting tumoural cell migratory behaviour independently of genetic alterations. We found that PI3K inhibition altered the quantity and the species composition of the lipid second messenger PIP3 produced, with selective reduction of C36:2 PI-3,4,5-P3. PI3K inactivation prevented the accumulation of protumoural CD206-positive macrophages in the tumour-adjacent tissue. Tumour-cell intrinsic PI3K therefore promotes pro-metastatic features that could be pharmacologically targeted to delay macro-metastatic evolution. The paper explainedPROBLEM Pancreatic cancer is one of the most lethal solid cancers characterised by rapid progression after primary tumour detection by imaging. Key signalling events that specifically drives this rapid evolution into macro-metastatic disease are so far poorly understood. RESULT With two unbiased approaches to patient data analysis, higher PI3K pathway and more specifically higher PI3K activation signature can now be identified in the most aggressive pancreatic cancer primary tumours, that lead to earlier patient death. Our in vitro data showed that PI3K is a major positive regulator of tumour cell escape from the primary tumour: tumour-intrinsic PI3K activity enables actin cytoskeleton remodelling to escape the pancreatic tumour. We chose to use two preclinical models of pancreatic cancer to validate that PI3K is a target for delaying evolution of PDAC. The first one mimicked pancreatic patient micrometastatic disease that is undetected by echography and consisted in treating mice presenting echography detected primary tumours combined with increased circulating DNA as a blood biomarker of the most aggressive tumours. The second model consisted in studying the tumour cell implantation and their early proliferation in metastatic organ after injection in blood. We treated both preclinical models with a clinically relevant PI3K -selective inhibitor (BYL-719/Alpelisib), that is currently being tested in pancreatic cancer patients (without any patient selection). We found that PI3K activity drives evolution of micrometastatic disease towards macro-metastatic stage in both models: inhibition of PI3K delayed primary tumour and micro-metastasis evolution. Finally, PI3K activity increases protumoural characteristics in peritumoural immune cells via tumour cell-intrinsic cytokine production that could facilitate metastatic evolution. IMPACT Circulating tumour DNA represents a strong independent biomarker linked to relapse and poor survival in solid cancer patients. A clinical study in resected PDAC patients with micrometastatic disease characterised by high circulating tumoural DNA levels is needed to assess if PI3K-selective inhibitors significantly delay metastatic progression and death. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/307884v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@a5a8b4org.highwire.dtl.DTLVardef@1e6e18dorg.highwire.dtl.DTLVardef@e22859org.highwire.dtl.DTLVardef@1c7148b_HPS_FORMAT_FIGEXP M_FIG Pancreatic ductal adenocarcinoma requires tumour-intrinsic PI3K activity to accelerate inflammatory metastatic disease. Biorender illustration. C_FIG

cancer biology↗

bioRxiv2020

Two Regulators of G-protein signaling (RGS) proteins FlbA1 and FlbA2 differentially regulate fumonisin B1 biosynthesis in Fusarium verticillioides

Fumonisins are a group of mycotoxins produced by maize pathogen Fusarium verticillioides that pose health concerns to humans and animals. Yet we still lack a clear understanding of the mechanism of fumonisins regulation during pathogenesis. The heterotrimeric G protein complex, which consists of G, G{beta}, and G{gamma} subunits, plays an important role in transducing signals under environmental stress. Furthermore, regulators of G-protein signaling (RGS) proteins act as negative regulators in heterotrimeric G protein signaling. Earlier studies demonstrated that G and G{beta} subunits are positive regulators of fumonisin B1 (FB1) biosynthesis and that two RGS genes, FvFlbA1 and FvFlbA2, were highly upregulated in G{beta} deletion mutant {Delta}Fvgbb1. Saccharomyces cerevisiae and Aspergillus nidulans contain a single copy of FlbA, but F. verticillioides has two putative FvFlbA paralogs, FvFlbA1 and FvFlbA2. Importantly, FvFlbA2 has a negative role in FB1 regulation. In this study, we further characterized functional roles of FvFlbA1 and FvFlbA2. While {Delta}FvflbA1 deletion mutant exhibited no significant defects, {Delta}FvflbA2 and {Delta}FvflbA2/A1 mutants showed thinner aerial hyphal growth while promoting FB1 production. FvFlbA2 is required for proper expression of key conidia regulation genes, including putative FvBRLA, FvWETA, and FvABAA, while suppressing FUM21, FUM1, and FUM8 expression. Split luciferase assays suggest that FvFlbA paralogs interact with key heterotrimeric G protein components to impact F. verticillioides FB1 production and asexual development.

microbiology↗

bioRxiv2020

Many bat species are not potential hosts of SARS-CoV and SARS-CoV-2: Evidence from ACE2 receptor usage

Bats are the suggested natural hosts for severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2, the latter of which caused the coronavirus disease 2019 (COVID-19) pandemic. The interaction of viral Spike proteins with their host receptor angiotensin-converting enzyme 2 (ACE2) is a critical determinant of potential hosts and cross-species transmission. Here we use virus-host receptor binding and infection assays to show that ACE2 orthologs from 24, 21, and 16 of 46 phylogenetically diverse bat species - including those in close and distant contact with humans - do not support entry of SARS-CoV, SARS-CoV-2, and both of these coronaviruses, respectively. Furthermore, we used genetic and functional analyses to identify genetic changes in bat ACE2 receptors associated with viral entry restrictions. Our study demonstrates that many - if not most - bat species are not potential hosts of SARS-CoV and SARS-CoV-2, and provides important insights into pandemic control and wildlife conservation.

ecology↗

bioRxiv2020

ZNF416 is a pivotal transcriptional regulator of fibroblast mechano-activation

Matrix stiffness is a central regulator of fibroblast function. However, the transcriptional mechanisms linking matrix stiffness to changes in fibroblast phenotype are incompletely understood. Here, we evaluated the effect of matrix stiffness on genome-wide chromatin accessibility in freshly-isolated lung fibroblasts using assay for transposase-accessible chromatin followed by sequencing (ATAC-seq). We found higher matrix stiffness profoundly increased global chromatin accessibility relative to lower matrix stiffness, and these alterations were in close genomic proximity to known pro-fibrotic gene programs. Motif analysis of these regulated genomic loci identified ZNF416 as a putative mediator of fibroblast stiffness responses. Similarly, motif analysis of the promoters of differentially expressed genes observed in freshly sorted fibroblasts from an experimental bleomycin lung fibrosis model also identified ZNF416 as a putative mediator of in vivo fibroblast activation. Genome occupancy analysis using chromatin-immunoprecipitation followed by sequencing (ChIP-seq) confirmed that ZNF416 occupies a broad range of genes implicated in fibroblast activation and tissue-fibrosis, with relatively little overlap in genomic occupancy with other mechanoresponsive and pro-fibrotic transcriptional regulators. Using loss and gain of function studies we demonstrated that ZNF416 plays a critical role in fibroblast proliferation, extracellular matrix synthesis and contractile function. Together these observations identify ZNF416 as novel mechano-activated transcriptional regulator of fibroblast biology.

cell biology↗

bioRxiv2020

Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes

Mutational activation of the BRAF proto-oncogene in melanocytes reliably produces benign nevi (pigmented "moles"), yet the same change is the most common driver mutation in melanoma. The reason nevi stop growing, and do not progress to melanoma, is widely attributed to a cell-autonomous process of "oncogene-induced senescence". Using a mouse model of Braf-driven nevus formation, analyzing both proliferative dynamics and single-cell gene expression, we found no evidence that nevus cells are senescent, either compared with other skin cells, or other melanocytes. We also found that nevus size distributions could not be fit by any simple cell-autonomous model of growth arrest, yet were easily fit by models based on collective cell behavior, e.g. in which arresting cells release an arrest-promoting factor. We suggest that nevus growth arrest is more likely related to the cell interactions that mediate size control in normal tissues, than to any cell-autonomous, "oncogene-induced" program of senescence.

cancer biology↗

bioRxiv2020

BATF3-dependent induction of IL-27 by B cells bridges the innate and adaptive stages of the antibody response

B cells are exposed to innate and T cell stimuli during the antibody response, although whether and how they functionally integrate such signals are unclear. Here we have identified IL-27 as the cytokine specifically produced by murine B cells upon sequential stimulation by TLR ligands and then CD154 and IL-21, the hallmark factors of T follicular helper cells, and during the T-dependent antibody response to a conjugated hapten or virus infection. B-cell Il27p28 transcription is concomitant with increased locus accessibility and depends on newly induced BATF3 transcription factor. IL-27-producing B cells are inefficient in antibody secretion, but cooperate with IFN{gamma} to promote proliferation, survival, class-switching and plasma cell differentiation of CD40-activated B cells, leading to optimal IgG2a and IgG1 responses. Overall, IL-27-producing B cells function as "helper" B cells that integrate the innate and adaptive stages of the antibody response. One-sentence summaryB cells integrate innate TLR and adaptive CD40 signals to induce BATF3 transcription factor for production of IL-27, which together with INFg optimizes antibody responses.

immunology↗

bioRxiv2020

Fusarium verticillioides peroxins associated with peroxisomal docking/translocation module serve important roles in fumonisin biosynthesis and virulence

Peroxisomes are ubiquitous organelles in eukaryotic cells that fulfill various important metabolic functions. In this study, we investigated the role of Docking/Translocation Module (DTM) peroxins, mainly FvPex8, FvPex13, FvPex14, and FvPex33, in Fusarium verticillioides virulence and fumonisin B1 (FB1) biosynthesis. Protein interaction experiments suggested that FvPex13 serves as the core subunit of F. verticillioides DTM. When we generated gene deletion mutants ({Delta}Fvpex8, {Delta}Fvpex13, {Delta}Fvpex14, {Delta}Fvpex33, {Delta}Fvpex33/14) and examined whether the expression of other peroxin genes were affected in the DTM mutants, {Delta}Fvpex8 strain showed most drastic changes to PEX gene expression profiles. Deletion mutants exhibited disparity in carbon source utilization and defect in cell wall integrity when stress agents were applied. Under nutrient starvation, mutants also showed higher levels of lipid droplet accumulation. Notably, {Delta}Fvpex8 mutant showed significant FB1 reduction and altered expression of FUM1 and FUM19 genes. However, FvPex13 was primarily responsible for virulence, while {Delta}Fvpex33/14 double mutant also showed virulence defect. In summary, our study suggests that FvPex13 is the core component of DTM, regulating peroxisome membrane biogenesis as well as PTS1- and PTS2-mediated transmembrane cargo transportation. Importantly, we predict FvPex8 as a key component in DTM that affects peroxisome function in FB1 biosynthesis in F. verticillioides.

microbiology↗