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Yu, Y.

Publications and source records attributed to Yu, Y..

At least 253 records · Page 14Linked to original sources

HIV-1 Nef acts in synergy with APOL1-G1 to induce nephrocyte cell death in a new Drosophila model of HIV-related kidney diseases

BackgroundPeople carrying two APOL1 risk alleles (RA) G1 or G2 are at greater risk of developing HIV-associated nephropathy (HIVAN). Studies in transgenic mice showed that the expression of HIV-1 genes in podocytes, and nef in particular, led to HIVAN. However, it remains unclear whether APOL1-RA and HIV-1 Nef interact to induce podocyte cell death. MethodWe generated transgenic (Tg) flies that express APOL1-G1 (derived from a child with HIVAN) and HIV-1 nef specifically in the nephrocytes, the fly equivalent of mammalian podocytes, and assessed their individual and combined effects on the nephrocyte filtration structure and function. ResultsWe found that HIV-1 Nef acts in synergy with APOL1-G1 resulting in nephrocyte structural and functional defects. Specifically, HIV-1 Nef itself can induce endoplasmic reticulum (ER) stress without affecting autophagy. Furthermore, Nef exacerbates the organelle acidification defects and autophagy reduction induced by APOL1-G1. The synergy between HIV-1 Nef and APOL1-G1 is built on their joint effects on elevating ER stress, triggering nephrocyte dysfunction and ultimately cell death. ConclusionsUsing a new Drosophila model of HIV-1-related kidney diseases, we identified ER stress as the converging point for the synergy between HIV-1 Nef and APOL1-G1 in inducing nephrocyte cell death. Given the high relevance between Drosophila nephrocytes and human podocytes, this finding suggests ER stress as a new therapeutic target for HIV-1 and APOL1-associated nephropathies. HIGHLIGHTSO_LIA new transgenic Drosophila model to study the pathogenesis of HIV-1-related kidney diseases with nephrocyte-specific expression of HIV-1 nef and an APOL1-G1 risk allele derived from a patient with HIVAN. C_LIO_LIAPOL1-G1 caused organelle acidification defects, reduced formation of autophagolysosomes, and reduced autophagy and protein aggregation, which culminated in ER stress. C_LIO_LIHIV-1 Nef induced ER stress through an autophagy-independent pathway. Furthermore, Nef and APOL1-G1 acted synergistically to heighten ER stress, which resulted in nephrocyte dysfunction and cell death. C_LI SIGNIFICANCE STATEMENTAPOL1 risk alleles are strongly linked to HIV-associated nephropathy (HIVAN) in people of African descent, but how HIV-1 and APOL1 interact and which pathways they might converge upon is unclear. A new Drosophila model to study HIV-1 Nef and APOL1-G1 (a risk allele) showed that Nef can induce ER stress in nephrocytes by itself, as well as exacerbate the organelle acidification defects and reduced autophagy induced by APOL1-G1, which further stimulates ER stress to a level that could cause nephrocyte cell death. Thus, we identified ER stress as the converging point for the synergy between APOL1-G1 and HIV-1 Nef in kidney cells, providing a potential therapeutic target for HIV-1 and APOL1-associated nephropathies.

molecular biology↗

SMOC2, OGN, FCN3, and SERPINA3 could be biomarkers for the evaluation of acute decompensated heart failure caused by venous congestion

BackgroundVenous congestion (VC) sets in weeks before visible clinical decompensation, progressively increasing cardiac strain and leading to acute heart failure (HF) decompensation. Currently, the field lacks a universally acknowledged gold standard and early detection methods for VC. MethodsUsing data from the GEO database, we identified VCs impact on HF through key genes using Limma and STRING databases. The potential mechanisms of HF exacerbation were explored via GO and KEGG enrichment analyses. Diagnostic genes for acute decompensated HF were discovered using LASSO, RF, and SVM-REF machine learning algorithms, complemented by single-gene GSEA analysis. A nomogram tool was developed for the diagnostic models evaluation and application, with validation conducted on external datasets. ResultsOur findings reveal that VC influences 37 genes impacting HF via 8 genes, primarily affecting oxygen transport, binding, and extracellular matrix stability. Four diagnostic genes for HFs pre-decompensation phase were identified: SMOC2, OGN, FCN3, and SERPINA3. These genes showed high diagnostic potential, with AUCs for each gene exceeding 0.9 and a genomic AUC of 0.942. ConclusionsOur study identifies four critical diagnostic genes for HFs pre-decompensated phase using bioinformatics and machine learning, shedding light on the molecular mechanisms through which VC worsens HF. It offers a novel approach for clinical evaluation of acute decompensated HF patient congestion status, presenting fresh insights into its pathogenesis, diagnosis, and treatment.

bioinformatics↗

Antigenicity assessment of SARS-CoV-2 saltation variant BA.2.87.1

The recent emergence of a SARS-CoV-2 saltation variant, BA.2.87.1, which features 65 spike mutations relative to BA.2, has attracted worldwide attention. In this study, we elucidate the antigenic characteristics and immune evasion capability of BA.2.87.1. Our findings reveal that BA.2.87.1 is more susceptible to XBB-induced humoral immunity compared to JN.1. Notably, BA.2.87.1 lacks critical escaping mutations in the receptor binding domain (RBD) thus allowing various classes of neutralizing antibodies (NAbs) that were escaped by XBB or BA.2.86 subvariants to neutralize BA.2.87.1, although the deletions in the N-terminal domain (NTD), specifically 15-23del and 136-146del, compensate for the resistance to humoral immunity. Interestingly, several neutralizing antibody drugs have been found to restore their efficacy against BA.2.87.1, including SA58, REGN-10933 and COV2-2196. Hence, our results suggest that BA.2.87.1 may not become widespread until it acquires multiple RBD mutations to achieve sufficient immune evasion comparable to that of JN.1.

immunology↗

RPA and Rad27 limit templated and inverted insertions at DNA breaks

Formation of templated insertions at DNA double-strand breaks (DSBs) is very common in cancer cells. The mechanisms and enzymes regulating these events are largely unknown. Here, we investigated templated insertions in yeast at DSBs using amplicon sequencing across a repaired locus. We document very short (most [~]5-34 bp), templated inverted duplications at DSBs. They are generated through a foldback mechanism that utilizes microhomologies adjacent to the DSB. Enzymatic requirements suggest a hybrid mechanism wherein one end requires Pol{delta}-mediated synthesis while the other end is captured by nonhomologous end joining (NHEJ). This process is exacerbated in mutants with low levels or mutated RPA (rtt105{Delta}; rfa1-t33) or extensive resection mutant (sgs1{Delta} exo1{Delta}). Templated insertions from various distant genomic locations also increase in these mutants as well as in rad27{Delta} and originate from fragile regions of the genome. Among complex insertions, common events are insertions of two sequences, originating from the same locus and with inverted orientation. We propose that these inversions are also formed by microhomology-mediated template switching. Taken together, we propose that a shortage of RPA typical in cancer cells is one possible factor stimulating the formation of templated insertions.

genetics↗

Chromosome-level genome assembly of milk thistle (Silybum marianum (L.) Gaertn.)

Silybum marianum (L.) Gaertn., commonly known as milk thistle, is a medicinal plant belonging to the Asteraceae family. This plant has been recognized for its medicinal properties for over 2,000 years. However, the genome of this plant remains largely undiscovered, having no reference genome at a chromosomal level. Here, we assembled the chromosome-level genome of S. marianum, allowing for the annotation of 53,552 genes and the identification of transposable elements comprising 58% of the genome. The genome assembly from this study showed 99.1% completeness as determined by BUSCO assessment, while the previous assembly (ASM154182v1) showed 36.7%. Functional annotation of the predicted genes showed 50,329 genes (94% of total genes) with known protein functions in public databases. Comparative genome analysis among Asteraceae plants revealed a striking conservation of collinearity between S. marianum and C. cardunculus . The genomic information generated from this study will be a valuable resource for milk thistle breeding and for use by the larger research community.

genomics↗

Targeting GFPT2 to reinvigorate immunotherapy in EGFR-mutated NSCLC

In the evolving field of cancer immunotherapy, EGFR-mutated NSCLC presents a significant challenge, demonstrating marked innate resistance to established treatments. An effective method to counter this resistance remains elusive. Through comprehensive genetic and pharmacological analyses across various models, we have identified glutamine fructose-6-phosphate transaminase 2 (GFPT2) as a key facilitator of immune evasion in EGFR-mutated NSCLC. Mechanistically, under EGFR mutation condition, GFPT2 expression, which is typically low in normal tissues, is highly induced via EGFR/IRE1/Xbp1s signaling axis, leading to a significant increase in intracellular UDP-GlcNAc and consequently, an altered N-glycosylation profile. GFPT2 escalates the expression and glycosylation of PD-L1, PVR and CD276, bolstering their interactions with CD8+T cells, and amplifies CD73 glycosylation, thereby intensifying adenosine-mediated CD8+T cells suppression. These actions collectively reduce tumor cell vulnerability to CD8+T cell-mediated death. Moreover, GFPT2 regulates EGFR glycosylation, which consequentially modulates the EGFR-dependent secretion of CXCL10 and VEGF, thus impeding CD8+T cell infiltration within tumors. We further identified a GFPT2 isoform-specific inhibitor that potentiates PD-1 blockade therapy beyond that of existing strategy, corroborated by results in xenografts and patient-derived organoids. Together, these findings illuminate the promising therapeutic potential of GFPT2 as a metabolic checkpoint, offering an innovative approach to invigorate immunotherapy in NSCLC with EGFR mutations.

cancer biology↗

Two-photon imaging of excitatory and inhibitory neural response to infrared neural stimulation

SignificancePulsed infrared neural stimulation (INS, 1875 nm) is an emerging neurostimulation technology that delivers focal pulsed heat to activate functionally specific mesoscale networks and holds promise for clinical application. However, little is known about its effect on excitatory and inhibitory cell types in cerebral cortex. AimEstimates of summed population neuronal response timecourses provide a potential basis for neural and hemodynamic signals described in other studies. ApproachUsing two-photon calcium imaging in mouse somatosensory cortex, we have examined the effect of INS pulse train application on hSyn neurons and mDlx neurons tagged with GCaMP6s. ResultsWe find that, in anesthetized mice, each INS pulse train reliably induces robust response in hSyn neurons exhibiting positive going responses. Surprisingly, mDlx neurons exhibit negative going responses. Quantification using the index of correlation illustrates responses are reproducible, intensity-dependent, and distance-dependent. Also, a contralateral activation is observed when INS application. ConclusionsIn sum, the population of neurons stimulated by INS includes both hSyn and mDlx neurons; within a range of stimulation intensities, this leads to overall excitation in the stimulated population, leading to the previously observed activations at distant post-synaptic sites.

neuroscience↗

Decoupling the molecular versatility of aminoglycosides via drug or target modification enables community-wide antiphage defense

The ongoing arms race between bacteria and phages has forced bacteria to evolve a sophisticated set of antiphage defense mechanisms that constitute the bacterial immune system. In our previous study, we highlighted the antiphage properties of aminoglycoside antibiotics, which are naturally secreted by Streptomyces. Successful inhibition of phage infection was achieved by addition of pure compounds and supernatants from a natural producer strain highlighting the potential for community-wide antiphage defense. However, given the dual functionality of these compounds, neighboring bacterial cells require resistance to the antibacterial activity of aminoglycosides to benefit from the protection they confer against phages. In this study, we demonstrated the successful uncoupling of antiphage and antibacterial properties via different aminoglycoside-resistance mechanisms encompassing drug and target site modifications. Furthermore, we confirmed the antiphage impact of aminoglycosides in a community context by co-culturing phage-susceptible, apramycin-resistant S. venezuelae with the apramycin-producing strain Streptoalloteichus tenebrarius. Given the prevalence of aminoglycoside resistance among natural bacterial isolates that allow functional uncoupling of these compounds, this study highlights the ecological relevance of chemical defense via aminoglycosides at the community level.

microbiology↗

A comprehensive personal omics clinical interpreter based on genomic and transcriptomic profiles

Advances in precision medicine rely on the accurate identification and analysis of molecular alterations for personalized diagnostic, prognostic, and therapeutic decision-making. A critical obstacle is the integration of heterogeneous interpretations of clinically actionable alterations from various knowledgebases. Here, we present the Personal Omics Interpreter (POI), a web-based application engineered to aggregate and interpret therapeutic options, including targeted, immunological, and chemotherapeutic agents, by leveraging personal genomic and transcriptomic profiles. POI employs the Precision Medicine Knowledgebase (PreMedKB), an updated harmonized resource we previously reported, to annotate the clinically actionable somatic variants. It further incorporates a predictive algorithm to broaden therapeutic options according to established gene-gene interactions and offers insights into phenotypic responses of chemotherapeutic agents through phasing germline diplotypes. Validated against three cohort datasets encompassing over 22,000 cancer patients, POI demonstrates consistently high matching rates (94.7 [~] 95.6%) between patients and suggested therapies, highlighting its potential in supporting precision-driven informed treatment strategies.

genomics↗

CAMKV Kinase Signaling Is a Novel Therapeutic Avenue with Prognostic Relevance in Neuroblastoma

Neuroblastoma (NB) can be a highly aggressive malignancy in children. However, the precise mechanisms driving NB tumorigenesis remain elusive. This study revealed the critical role of CREB phosphorylation in NB cell proliferation. By employing a CRISPR-Cas9 knockout screen targeting calcium/calmodulin-dependent protein kinase (CaMK) family members, we identified the CaM kinase-like vesicle-associated (CAMKV) protein as a kinase that mediates direct phosphorylation of CREB to promote NB cell proliferation. CAMKV was found to be a transcriptional target of MYCN/MYC in NB cells. CAMKV knockout and knockdown effectively suppressed NB cell proliferation and tumor growth both in vitro and in vivo. Bioinformatic analysis revealed that high CAMKV expression is significantly correlated with poor patient survival. High-risk NB frequently had high CAMKV protein levels by Immunohistochemical staining. Integrated transcriptomic and proteomic analyses of CAMKV knockdown cells unveiled downstream targets involved in CAMKV-regulated phosphorylation and signaling pathways, many of which are linked to neural development and cancer progression. We identified small molecule inhibitors targeting CAMKV and further demonstrated the efficacy of one inhibitor in suppressing NB tumor growth and prolonging the survival of mice bearing xenografted tumors. These findings reveal a critical role for CAMKV kinase signaling in NB growth and identified CAMKV kinase as a potential therapeutic target and prognostic marker for patients with NB.

cancer biology↗

The Effect on Speech-in-Noise Perception of Real Faces and Synthetic Faces Generated with either Deep Neural Networks or the Facial Action Coding System

The prevalence of synthetic talking faces in both commercial and academic environments is increasing as the technology to generate them grows more powerful and available. While it has long been known that seeing the face of the talker improves human perception of speech-in-noise, recent studies have shown that synthetic talking faces generated by deep neural networks (DNNs) are also able to improve human perception of speech-in-noise. However, in previous studies the benefit provided by DNN synthetic faces was only about half that of real human talkers. We sought to determine whether synthetic talking faces generated by an alternative method would provide a greater perceptual benefit. The facial action coding system (FACS) is a comprehensive system for measuring visually discernible facial movements. Because the action units that comprise FACS are linked to specific muscle groups, synthetic talking faces generated by FACS might have greater verisimilitude than DNN synthetic faces which do not reference an explicit model of the facial musculature. We tested the ability of human observers to identity speech-in-noise accompanied by a blank screen; the real face of the talker; and synthetic talking face generated either by DNN or FACS. We replicated previous findings of a large benefit for seeing the face of a real talker for speech-in-noise perception and a smaller benefit for DNN synthetic faces. FACS faces also improved perception, but only to the same degree as DNN faces. Analysis at the phoneme level showed that the performance of DNN and FACS faces was particularly poor for phonemes that involve interactions between the teeth and lips, such as /f/, /v/, and /th/. Inspection of single video frames revealed that the characteristic visual features for these phonemes were weak or absent in synthetic faces. Modeling the real vs. synthetic difference showed that increasing the realism of a few phonemes could substantially increase the overall perceptual benefit of synthetic faces, providing a roadmap for improving communication in this rapidly developing domain.

neuroscience↗

Fluorescence hybridization chain reaction enables localization of multiple molecular classes combined with plant cell ultrastructure

BackgroundRecent developments in hybridization chain reaction (HCR) have enabled robust simultaneous localization of multiple mRNA transcripts using fluorescence in situ hybridization (FISH). Once multiple split initiator oligonucleotide probes bind their target mRNA, HCR uses DNA base-pairing of fluorophore-labeled hairpin sets to self-assemble into large polymers, amplifying the fluorescence signal and reducing non-specific background. Few studies have applied HCR in plants, despite its demonstrated utility in whole mount animal tissues and cell culture. Our aim was to optimize this technique for sectioned plant tissues embedded with paraffin and methacrylate resins, and to test its utility in combination with immunolocalization and subsequent correlation with cell ultrastructure using scanning electron microscopy. ResultsApplication of HCR to 10 {micro}m paraffin sections of 17-day-old Setaria viridis (green millet) inflorescences using confocal microscopy revealed that the transcripts of the transcription factor KNOTTED 1 (KN1) were localized to developing floret meristem and vascular tissue while SHATTERING 1 (SH1) and MYB26 transcripts were co-localized to the breakpoint below the floral structures (the abscission zone). We also used methacrylate de-embedment with 1.5 {micro}m and 0.5 {micro}m sections of 3-day-old Arabidopsis thaliana seedlings to show tissue specific CHLOROPHYLL BINDING FACTOR a/b (CAB1) mRNA highly expressed in photosynthetic tissues and ELONGATION FACTOR 1 ALPHA (EF1) highly expressed in meristematic tissues of the shoot apex. The housekeeping gene ACTIN7 (ACT7) mRNA was more uniformly distributed with reduced signals using lattice structured-illumination microscopy. HCR using 1.5 {micro}m methacrylate sections was followed by backscattered imaging and scanning electron microscopy thus demonstrating the feasibility of correlating fluorescent localization with ultrastructure. ConclusionHCR was successfully adapted for use with both paraffin and methacrylate de-embedment on diverse plant tissues in two model organisms, allowing for concurrent cellular and subcellular localization of multiple mRNAs, antibodies and other affinity probe classes. The mild hybridization conditions used in HCR made it highly amenable to observe immunofluorescence in the same section. De-embedded semi-thin methacrylate sections with HCR were compatible with correlative electron microscopy approaches. Our protocol provides numerous practical tips for successful HCR and affinity probe labeling in electron microscopy-compatible, sectioned plant material.

plant biology↗

Spike N354 glycosylation augments SARS-CoV-2 fitness for human adaptation through multiple mechanisms

Selective pressures have given rise to a number of SARS-CoV-2 variants during the prolonged course of the COVID-19 pandemic. Recently evolved variants differ from ancestors in additional glycosylation within the spike protein receptor-binding domain (RBD). Details of how the acquisition of glycosylation impacts viral fitness and human adaptation are not clearly understood. Here, we dissected the role of N354-linked glycosylation, acquired by BA.2.86 sub-lineages, as a RBD conformational control element in attenuating viral infectivity. The reduced infectivity could be recovered in the presence of heparin sulfate, which targets the "N354 pocket" to ease restrictions of conformational transition resulting in a "RBD-up" state, thereby conferring an adjustable infectivity. Furthermore, N354 glycosylation improved spike cleavage and cell-cell fusion, and in particular escaped one subset of ADCC antibodies. Together with reduced immunogenicity in hybrid immunity background, these indicate a single spike amino acid glycosylation event provides selective advantage in humans through multiple mechanisms. HIGHLIGHTSN354 glycosylation acts as a conformational control element to modulate infectivity Reduced infectivity could be recovered by altered binding mode of heparin sulfate N354 glycosylation improved fusogenicity and conferred escape from ADCC antibodies N354 glycosylation reduced immunogenicity and conferred immune evasion

microbiology↗

Early evolution of the ecdysozoan body plan

Extant ecdysozoans (moulting animals) are represented by a great variety of vermiform or articulated organisms. However, controversies remain about the nature of their ancestral body plan although the vermiform hypothesis seems to prevail. We describe here Beretella spinosa gen et sp. nov. a tiny ecdysozoan from the early Cambrian, Yanjiahe Formation, South China, with an unusual sack-like appearance, single opening, and spiny ornament. Beretella has no equivalent among animals, except Saccorhytus from the basal Cambrian. Phylogenetic analyses resolve both forms as a sister group (Saccorhytida) to all known Ecdysozoa, thus suggesting that ancestral ecdysozoans may have been non-vermiform animals. Saccorhytids are likely to represent an early dead-end off-shot along the stem-line Ecdysozoa that possibly evolved through anatomical simplification (e.g. lack of anus). Although extinct during the Cambrian, this animal lineage provides precious insight into the early evolution of Ecdysozoa and the nature (possibly non-vermiform) of the earliest representatives of the group.

paleontology↗

EvoAug-TF: Extending evolution-inspired data augmentations for genomic deep learning to TensorFlow

Deep neural networks (DNNs) have been widely applied to predict the molecular functions of regulatory regions in the non-coding genome. DNNs are data hungry and thus require many training examples to fit data well. However, functional genomics experiments typically generate limited amounts of data, constrained by the activity levels of the molecular function under study inside the cell. Recently, EvoAug was introduced to train a genomic DNN with evolution-inspired augmentations. EvoAug-trained DNNs have demonstrated improved generalization and interpretability with attribution analysis. However, EvoAug only supports PyTorch-based models, which limits its applications to a broad class of genomic DNNs based in TensorFlow. Here, we extend EvoAugs functionality to TensorFlow in a new package we call EvoAug-TF. Through a systematic benchmark, we find that EvoAug-TF yields comparable performance with the original EvoAug package. AvailabilityEvoAug-TF is freely available for users and is distributed under an open-source MIT license. Researchers can access the open-source code on GitHub (https://github.com/p-koo/evoaug-tf). The pre-compiled package is provided via PyPI (https://pypi.org/project/evoaug-tf) with in-depth documentation on ReadTheDocs (https://evoaug-tf.readthedocs.io). The scripts for reproducing the results are available at (https://github.com/p-koo/evoaug-tf_analysis).

bioinformatics↗

Cholesterol-Dependent Membrane Deformation by Metastable Viral Capsids Facilitates Entry

Non-enveloped viruses employ unique entry mechanisms to breach and infect host cells. Understanding these mechanisms is crucial for developing antiviral strategies. Prevailing perspective suggests that non-enveloped viruses release membrane lytic peptides to breach host membranes. However, the precise involvement of the viral capsid in this entry remains elusive. Our study presents direct observations elucidating the dynamically distinctive steps through which metastable reovirus capsids disrupt host lipid membranes as they uncoat into partially hydrophobic intermediate particles. Using both live cells and model membrane systems, our key finding is that reovirus capsids actively deform and permeabilize lipid membranes in a cholesterol-dependent process. Unlike membrane lytic peptides, these metastable viral capsids induce more extensive membrane perturbations, including budding, bridging between adjacent membranes, and complete rupture. Notably, cholesterol enhances subviral particle adsorption, resulting in the formation of pores equivalent to the capsid size. This cholesterol dependence is attributed to the lipid condensing effect, particularly prominent at intermediate cholesterol level. Furthermore, our results reveal a positive correlation between membrane disruption extent and efficiency of viral variants in establishing infection. This study unveils the crucial role of capsid-lipid interaction in non-enveloped virus entry, providing new insights into how cholesterol homeostasis influences virus infection dynamics.

biophysics↗

BLADE-ON-PETIOLE interacts with CYCLOIDEA to fine-tune CYCLOIDEA-mediated flower symmetry in Monkeyflowers (Mimulus)

AbstractMorphological novelties, or key innovations, are instrumental to the diversification of the organisms. In plants, one such innovation is the evolution of zygomorphic flowers, which is thought to promote outcrossing and increases flower morphological diversity. We isolated three allelic mutants from two Mimulus species displaying altered floral symmetry and identified the causal gene as the orthologue of Arabidopsis BLADE-ON-PETIOLE. We found that MlBOP and MlCYC2a physically interact and this BOP-CYC interaction module is highly conserved across the angiosperms. Furthermore, MlBOP self-ubiquitinates and suppresses MlCYC2a self- activation. MlCYC2a, in turn, impedes MlBOP ubiquitination. Thus, this molecular tug-of-war between MlBOP and MlCYC2a fine-tunes the expression of MlCYC2a, contributing to the formation of bilateral symmetry flowers, a key trait in angiosperm evolution. One Sentence SummaryMolecular tug-of-war between MlBOP and MlCYC2a fine-tunes the expression of MlCYC2a, contributing to the bilateral flower symmetry formation.

developmental biology↗

Determination and characterization of papillomaviurs and parvovirus causing mass mortality of Chinese tongue sole (Cynoglossus semilaevis) in China

Chinese tongue sole (Cynoglossus semilaevis) is one of the representative species in flatfish aquaculture in China. In recent years, massive mortality of farmed Chinese tongue soles occurred in Tianjin, China. The causative pathogens were determined as Cynoglossus semilaevis papillomavirus (CsPaV) and parvovirus (CsPV) by electron microscopy, virus isolation, experimental challenge, histopathological analysis, genome sequencing, fluorescence In situ hybridization (FISH) and epidemiology investigation. Electron microscopy showed large numbers of spherical non-enveloped virus particles presenting in liver, kidney, spleen, gill and heart of the diseased fish. The viruses were isolated and propagated in flounder gill cells (FG) and induced a typical cytopathic effect (CPE). The cumulative mortality reached 100% at 8 dpi by intraperitoneal injection. The complete genome of CsPaV and CsPV was 5939 bp and 3663 bp in size respectively, and both viral genomes shared no nucleotide sequence similarity with other viruses. The CsPaV contained seven predicated protein coding regions (E1, E2, L2, L1a, L1b, sORF1 and sORF2) and CsPV contained three predicated protein coding regions (NS1, VP and ORF3). Phylogenetic analysis basing on L1 and NS1 protein sequences revealed that CsPaV and CsPV are novel members belonging to new genus in Papillomaviridae and Parvoviridae family. FISH results showed positive signals in spleen and kidney tissues from CsPaV and CsPV infected fish and the two viruses could co-infected one cell. Epidemiological investigation showed that the two viruses cocurrented in 82.9% sampled fish and they were proved to be the pathogenic agents of the emerging disease in farmed Chinese tongue soles in China. This study represents the first report of co-infection of papillomavirus and parvovirus in farmed fish and provides a basis for further studies on prevention and treatment of the emerging viral disease, and also represents clues to elucidate the the mechanisms of viruses co-infection and evolution of viruses. Author summaryChinese tongue sole is a valuable fish kept in marincultures. Outbreak of an emerging disease caused massive mortality and resulted in significant economic loss. The pathogenic agent remains unknown. In this study, we identified papillomavirus (CsPaV) and parvovirus (CsPV) from the diseased fish simultaneously, and they are proved to be novel members belonging to new genus in Papillomaviridae and Parvoviridae family. It was shown that the emerging disease was caused by co-infection with the two viruses. Viral co-infections are widespread in nature, however, studies and available data on viral co-infections in fish aquaculture are limited. Our findings represent new clues to elucidate the mechanisms of viruses co-infection and evolution of viruses, and moreover, the present study provide a solution for the control of emerging viral diseases in Chinese tongue sole.

microbiology↗