Biology subjects

Meng, L.

Publications and source records attributed to Meng, L..

At least 55 records · Page 3Linked to original sources

bioRxiv2024

A Bayesian Framework for Genome-wide Circadian Rhythmicity Biomarker Detection

Circadian rhythms are endogenous [~]24-hour cycles that significantly influence physiological and behavioral processes. These rhythms are governed by a transcriptional-translational feedback loop of core circadian genes and are essential for maintaining overall health. The study of circadian rhythms has expanded into various omics datasets, necessitating accurate analytical methodology for circadian biomarker detection. Here, we introduce a novel Bayesian framework for the genome-wide detection of circadian rhythms that is capable of incorporating prior biological knowledge and adjusting for multiple testing issue via a false discovery rate approach. Our framework leverages a Bayesian hierarchical model and employs a reverse jump Markov chain Monte Carlo (rjMCMC) technique for model selection. Through extensive simulations, our method, BayesCircRhy, demonstrated superior false discovery rate control over competing methods, robustness against heavier-tailed error distributions, and better performance compared to existing approaches. The methods efficacy was further validated in two RNA-Sequencing data, including a human resitrcted feeding data and a mouse aging data, where it successfully identified known and novel circadian genes. R package "BayesianCircadian" for the method is publicly available on GitHub https://github.com/jxncdhc/BayesianCircadian.

bioinformatics↗

bioRxiv2024

Organic opto-nanobiointerface enables multiscale biomodulation

Virtually all organic material on Earth has been produced converting solar energy through photosynthesis in chloroplasts, a sack-like, double membrane organelle in plants and algae, where transmembrane electron transfer occurs from lumen to stroma. Although animals hardly harness the power of photosynthesis, their bioelectrical signals extensively regulate complex electrophysiological behaviors, rendering it a superior target for biomedical innovation. Here, a crude structural mimicry of chloroplast has led us to discover that hollow sphere graphitic carbon nitride nanoparticles (hg-C3N4 NPs) endowed non-genetic, subcellular and intercellular photo-modulation of various excitable and non-excitable cells, accumulatively achieving modulation at tissue/organ function level. The homogeneous hg-C3N4 NPs showed responsiveness to light via both photoelectrochemical and photothermal mechanisms. The hg-C3N4 NPs can be spontaneously internalized with excellent cytocompatibility. Using a focusing laser, the hg-C3N4 NPs enable intracellular optical stimulation with subcellular resolution, inducing calcium transient release in multiple cells and propagation in primary cardiomyocytes and cardiac fibroblasts. At multicellular scale, optical pacing and synchronization of cardiomyocyte beating is readily achieved by LED. Further, we demonstrate that hg-C3N4 nanoparticles can be safely delivered into the mouse eye and elicit measurable cortical and behavioral light responses in a subset of animals in a model of advanced retinal degeneration. Finally, application of hg-C3N4 NPs to porcine retinal tissue ex vivo confirmed their modulation capability to directly activate RGCs activity under LED photostimulation. Taken together, these nanostructured biomimetic photocatalytic NPs offer high resolution, leadless optical probing, non-invasive delivery and great biocompatibility, serving as a versatile tool for addressing a range of complex biomedical challenges through subcellular, intercellular and tissue-level photo-modulation across a broad spectrum of scales.

bioengineering↗

bioRxiv2024

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Single-cell Hi-C (scHi-C) has provided unprecedented insights into the heterogeneity of 3D genome organization. However, its sparse and noisy nature poses challenges for computational analyses, such as chromatin architectural feature identification. Here, we introduce scCAFE, a deep learning model for the multi-scale detection of architectural features at the single-cell level. scCAFE provides a unified framework for annotating chromatin loops, TAD-like domains (TLDs), and compartments across individual cells. Our model outperforms previous scHi-C loop calling methods and delivers accurate predictions of TLDs and compartments that are biologically consistent with previous studies. The resulting single-cell annotations also offer a measure to characterize the heterogeneity of different levels of architectural features across cell types. We leverage this heterogeneity and identify a series of marker loop anchors, which demonstrate the potential of the 3D genome data to annotate cell identities without the aid of simultaneously sequenced omics data. Overall, scCAFE not only serves as a useful tool for analyzing single-cell genomic architecture, but also paves the way for precise cell-type annotations solely based on 3D genome features.

bioinformatics↗

bioRxiv2024

Evolution of the Spatial transcriptomic landscape during the progression of high-grade pancreatic intraductal papillary mucinous neoplasms to invasive cancer

Intraductal papillary mucinous neoplasms (IPMN) is one of the known precancerous lesions. Patients prognosis is aggravated as IPMN transforms into invasive Pancreatic Ductal Adenocarcinoma (PDAC). The molecular mechanisms underlying this progression lack effective experimental models and urgently need to be elaborated. We performed spatial transcriptomics (ST) on fresh tissue samples from the same patient including normal pancreas, high-grade IPMN, and invasive PDAC, and described the step-by-step development of transcriptional landscape including clone evolution and adjacent TME feature variation. Our findings identified the master transcript factors and critical signaling pathways promoting IPMN progression to invasive PDAC. Additionally, both IPMN and PDAC harbored the ELF3, MYC, and KLF4 amplification. The Spatial CNV profile demonstrated significant heterogeneity among PDAC in their spatial distribution compared to IPMN, with seven distinct subclones showing diverse functions, such as hypoxia, oxidative phosphorylation, and epithelial-mesenchymal Transition. We observed a marked shift in the immune landscape, with the depletion of CD4+ T-cells and dendritic cells and an increase in immune-suppressive M2 macrophages in invasive PDAC, indicating a transition to an immune-evasive microenvironment. Additionally, cancer-associated fibroblasts (CAFs), particularly myofibroblastic CAFs, were enriched adjacent to invasive PDAC, suggesting their active role in tumor progression. By leveraging spatial transcriptomic analysis, our study provides comprehensive insights into the intricate molecular landscape that underlies the progression of IPMNs to invasive PDAC. These findings not only enhance our understanding of this complex process but also offer valuable knowledge for early diagnosis and intervention. HighlightsO_LISpatial CNV analysis reveals clonal evolution and distinct subclones in PDAC. C_LIO_LIKey drivers like ELF3, MYC, and KLF4 are amplified in both IPMN and invasive PDAC. C_LIO_LIImmune landscape shifts from pro-inflammatory in IPMN to immune-evasive in PDAC. C_LIO_LIEnrichment of myofibroblastic CAFs suggests their role in tumor progression C_LI

cancer biology↗

bioRxiv2024

UniPTM: Multiple PTM site prediction on full-length protein sequence

AbstractPost-translational modifications (PTMs) enrich the functional diversity of proteins by attaching chemical groups to the side chains of amino acids. In recent years, a myr-iad of AI models have been proposed to predict many specific types of PTMs. However, those models typically adopt the sliding window approach to extract short and equal-length protein fragments from full-length proteins for model training. Unfortunately, such a subtle step results in the loss of long-range information from distal amino acids, which may impact the PTM formation process. In this study, we introduce UniPTM, a window-free model designed to train and test on natural and full-length protein sequences, enabling the prediction of multiple types of PTMs in a holistic manner. Moreover, we established PTMseq, the first comprehensive dataset of full-length pro-tein sequences with annotated PTMs, to train and validate our model. UniPTM has undergone extensive validations and significantly outperforms existing models, eluci-dating the influence of protein sequence completeness on PTM. Consequently, UniPTM offers interpretable and biologically meaningful predictions, enhancing our understand-ing of protein functionally and regulation. The source code and PTMseq dataset for UniPTM are available at https://www.github.com/TransPTM/UniPTM.

bioinformatics↗

bioRxiv2024

Genome-resolved year-round dynamics reveal a broad range of giant virus microdiversity

Giant viruses are crucial for marine ecosystem dynamics because they regulate microeukaryotic community structure, accelerate carbon and nutrient cycles, and drive the evolution of their hosts through co-evolutionary processes. Previously reported long-term observations revealed that these viruses display fluctuations in abundance. However, the underlying genetic mechanisms driving such dynamics in these viruses remain largely unknown. In this study, we investigated population and intra-population dynamics of giant viruses using time-series metagenomes from eutrophic coastal seawater samples collected over 20 months. A newly developed near-automatic computational pipeline generated 1,065 high-quality metagenome-assembled genomes covering six major giant virus lineages. These genomic data revealed year-round recovery of the viral community at the study site and distinct dynamics of different viral populations classified as persistent (n = 9), seasonal (n = 389), sporadic (n = 318), or others. Notably, year-round recovery patterns were observed at the intra-population genetic diversity level for viruses classified as persistent or seasonal. Our results further indicated that the viral genome dynamics were associated with intra-population diversity; specifically, giant viruses with broader niche breadth tended to exhibit greater levels of microdiversity. We argue that greater microdiversity in viruses likely enhances adaptability and thus survival under the virus-host arms race during prolonged interactions with their hosts.

microbiology↗

bioRxiv2024

Tri-omic mapping revealed concerted dynamics of 3D epigenome and transcriptome in brain cells

Exploring the genomic basis of transcriptional programs has been a longstanding research focus. Here, we report a high-throughput single-cell tri-omic method to capture chromatin accessibility, interaction, and RNA simultaneously (ChAIR). After validating in cultured cells, we applied ChAIR to brain cells across mouse lifespan and delineated the concerted dynamics of 3D-epigenomic architecture and transcription during maturation and aging. Particularly, ultra-long chromatin megacontacts and promoter-associated 3D-epigenomic states are effective in defining cell identity and revealing spatially-resolved anatomic specificity. Importantly, we found that neurons in different brain regions and non-neuronal cells may undergo divergent genomic mechanisms during differentiation and aging. Our results demonstrated ChAIRs robustness of connecting chromatin folding architecture with cellular property and its potential applications to address complex questions in single-cell resolution and spatial specificity.

genomics↗

bioRxiv2024

Spatiotemporal dynamics revealed the dark water community of giant virus from a deep freshwater lake

Giant viruses significantly regulate the ecological dynamics of diverse ecosystems. Although metagenomics has expanded our understanding of their diversity and ecological roles played in marine environments, little is known about giant viruses of freshwater ecosystems. Most previous studies have employed short-read sequencing and therefore resulted in fragmented genomes, hampering accurate assessment of genetic diversity. We sought to bridge this knowledge gap and overcome previous technical limitations. We subjected spatiotemporal (2 depths x 12 months) samples from Lake Biwa to metagenome-assembled genome reconstruction enhanced by long-read metagenomics. This yielded 294 giant virus metagenome-assembled genomes. Of these, 285 included previously unknown species in five orders of nucleocytoviruses and the first representatives of freshwater mirusviruses, which exhibited marked divergence between freshwater- and marine-derived lineages. Notably, 42 (14.3%) genomes were composed of single contigs with completeness values >90%, demonstrating the good performance of our long-read metagenomic assembly. Giant viruses were partitioned across water depths, with most species specific to either the sunlit epilimnion or the dark hypolimnion. Epilimnion-specific members tended to be opportunistic and to exhibit short and intense abundance peaks, in line with the fact that they regulate the surface algal blooms. During the spring bloom, mirusviruses and members of three nucleocytovirus families were among the most abundant giant viruses. In contrast, hypolimnion-specific ones including algaviruses and mirusviruses were typically more persistent in the hypolimnion throughout the water-stratified period, suggesting that they infect hosts specific to the hypolimnion and play previously unexplored ecological roles in dark water-specific microbial ecosystems.

ecology↗

bioRxiv2024

Hsa_circ_0001304 promotes vascular smooth muscle cell autophagy and neointimal hyperplasia through the YTHDF2/mTOR axis

IntroductionAberrant autophagy in vascular smooth muscle cells (VSMCs) is associated with the progression of cardiovascular diseases. Recently, circular RNAs (circRNAs) have gradually been reported to regulate autophagy in VSMCs. ObjectivesThis study aims to investigate the role of hsa_circ_0001304 in VSMC autophagy and its underlying mechanism. MethodsThe combined use of dual-luciferase reporter gene assay, MeRIP-qRT-PCR, RIP-qRT-PCR, etc., was performed to verify the regulatory axis, hsa_circ_0001304/miR-636/YTHDF2/mTOR. Cell autophagy detection was performed to uncover the role of hsa_circ_0001304 on VSMC autophagy. The mouse carotid artery ligation model was conducted to assess the role of hsa_circ_0001304 on vascular neointimal hyperplasia. ResultsHsa_circ_0001304 acts as a sponge for miR-636, leading to an increase in the protein levels of YTHDF2. Subsequently, the YTHDF2 promotes the degradation of mTOR mRNA by binding to the latters m6A modification sites. Thus, by regulating the miR-636/YTHDF2/mTOR axis, hsa_circ_0001304 activates VSMC autophagy, aggravating neointimal hyperplasia. ConclusionOur findings suggest that autophagy-related hsa_circ_0001304 could serve as a novel therapeutic target for neointimal hyperplasia-related cardiovascular diseases. Including spacesOur study documents a novel VSMC autophagy-related circRNA, namely circ-1304, which activates VSMC autophagy through the miR-636/YTHDF2/mTOR axis, thereby exacerbating neointimal hyperplasia. Targeting autophagy-related circ-1304 may contribute to the treatment of neointimal hyperplasia-associated cardiovascular diseases.

molecular biology↗

bioRxiv2024

Deciphering the molecular mechanism of DNA-protein interactive co-condensates

Nucleic acid and protein co-condensates exhibit diverse morphologies crucial for fundamental cellular processes. Despite their significance, the molecular mechanisms governing morphology transitions remain poorly understood. To address this gap in knowledge, we investigated DNA and the human transcription factor p53 as a model system, specifically focusing on DNA-protein interactive co-condensates (DPICs)--a scenario where neither dsDNA nor the protein demonstrates phase-separation behavior individually. Through a combination of experimental assays and theoretical approaches, we elucidated: (i) the phase diagram of DPICs, identifying two distinct transition phenomena--a phase transition between viscoelastic fluid and viscoelastic solid states, and a morphology transition from droplet-like to "pearl chain"-like DPICs; (ii) the growth dynamics of DPICs. Droplet-like and "pearl chain"-like DPICs, although with dramatically distinct final morphologies and material properties, share a common initial critical microscopic cluster (CMC) size at the nanometer scale during the early stage of phase separation. These findings provide novel insights into the biophysical mechanisms underlying multi-component phase separations within cellular environments. Significance StatementNucleic acids and proteins have the capacity to form co-condensates, exhibiting various morphologies, including droplet-like and "pearl chains" formations. Despite this observation, the underlying biophysical mechanisms remain poorly understood. In this study, we employed DNA and the protein p53 as a model system. Our investigation revealed that the strength of the DNA-p53 interactions dictates the material properties of the co-condensates, leading to a transition from a viscoelastic fluid to a viscoelastic solid phase. This transition is accompanied by a morphological shift from droplet-like formations to structures resembling "pearl chains". Additionally, we explored the growth dynamics of these co-condensates and demonstrated that the strength of p53-DNA interactions influences the relaxation time of the co-condensates, thereby potentially determining their morphological features.

biophysics↗

bioRxiv2024

Eukaryotic genomic data uncover an extensive host range of mirusviruses

A recent marine metagenomic study has revealed the existence of a novel group of viruses designated mirusviruses, which are proposed to form an evolutionary link between two realms of double-stranded DNA viruses, Varidnaviria and Duplodnaviria. Metagenomic data suggest that mirusviruses infect microeukaryotes in the photic layer of the ocean, but their host range remains largely unknown. In this study, we investigated the presence of mirusvirus marker genes in publicly available 1,901 eukaryotic genome assemblies, mainly derived from unicellular eukaryotes, to identify potential hosts of mirusviruses. Mirusvirus marker sequences were identified in 1,348 assemblies spanning 284 genera across eight supergroups of eukaryotes. The habitats of the putative mirusvirus hosts included not only marine but also other diverse environments. Among the major capsid protein (MCP) signals in the genome assemblies, we identified 85 sequences that showed high sequence and structural similarities to reference mirusvirus MCPs. A phylogenetic analysis of these sequences revealed their distant evolutionary relationships with the seven previously reported mirusvirus clades. Most of the scaffolds with these MCP sequences encoded multiple mirusvirus homologs, underscoring the impact of mirusviral infection on the evolution of the host genome. We also identified three circular mirusviral genomes within the genomic data of the oil producing thraustochytrid Schizochytrium sp. and the endolithic green alga Ostreobium quekettii. Overall, mirusviruses probably infect a wide spectrum of eukaryotes and are more diverse than previously reported. HighlightsO_LIMirusvirus signals detected in genomic data from eight eukaryotic supergroups. C_LIO_LIHabits of putative mirusvirus hosts not limited to marine environments. C_LIO_LIMajor capsid sequences from these assemblies show new mirusviral lineages. C_LIO_LIThree circular mirusvirus genomes were identified. C_LI

microbiology↗

bioRxiv2023

Akkermansia muciniphila identified as key strain to function in pathogen invasion and intestinal stem cell proliferation through Wnt signaling pathway

As the largest mucosal surface, the gut has built a physical, chemical, microbial and immune barrier to protect the body against pathogen invasion. The disturbance of gut microbiota aggravates pathogenic bacteria invasion and gut barrier injury. Fecal microbiota transplantation (FMT) is a promising treatment for microbiome-related disorders, where beneficial strain engraftment is a significant factor influencing FMT outcomes. The aim of this research was to explore the effect of FMT on antibiotic-induced microbiome-disordered (AIMD) model infected with enterotoxigenic Escherichia coli (ETEC). We used piglet, mouse and intestinal organoid models to explore the protective effects and mechanisms of FMT on ETEC infection. The results showed that FMT regulated gut microbiota and enhanced the protection of AIMD piglets against ETEC K88 challenge, as demonstrated by reduced intestinal pathogen colonization and alleviated gut barrier injury. Akkermansia muciniphila (A. muciniphila) and Bacteroides fragilis (B. fragilis) were identified as two strains that may play key roles in FMT. We further investigated the alleviatory effects of these two strains on ETEC infection in AIMD mice model, which revealed that A. muciniphila and B. fragilis relieved ETEC-induced intestinal inflammation by maintaining the proportion of Treg/Th17 cells and epithelial damage by moderately activating the Wnt/{beta}-catenin signaling pathway, while the effect of A. muciniphila was better than B. fragilis. We therefore identified whether A. muciniphila protected against ETEC infection using basal-out and apical-out intestinal organoid models. A. muciniphila did protect the intestinal stem cells and stimulate proliferation and differentiation of intestinal epithelium, and the protective effects of A. muciniphila was reversed by Wnt inhibitor. FMT alleviated ETEC-induced gut barrier injury and intestinal inflammation in AIMD model. A. muciniphila was identified as key strain in FMT to promote proliferation and differentiation of intestinal stem cells by mediating the Wnt/{beta}-catenin signaling pathway.

microbiology↗

bioRxiv2023

Gene transfer among viruses substantially contributes to gene gain of giant viruses

Horizontal gene transfers (HGTs) integrate all forms of life and viruses into a vast network of gene flow, which facilitates the transmission of genes beyond vertical inheritance and enhances genomic evolution. HGT is known to occur between closely related viruses. We hypothesized that there is frequent HGT among nucleocytoviruses, a group of diverse but evolutionarily related DNA viruses encoding hundreds to thousands of genes. However, the frequency of viral HGT (vHGT) has not been systematically investigated for nucleocytoviruses. We reconciled over 4,700 gene trees with a robust viral species tree that contains 195 reference viral genomes mainly from cultivation as a reference to infer evolutionary events, including gene gains (gene duplication, origination, and vHGT) and losses. The inferred evolutionary scenarios revealed that the genomes of these viruses have undergone numerous gene gain and loss events, with vHGT representing 28% to 42% of gene gain events in each viral order. By integrating the evolutionary paths of multiple viruses, our data suggest that vHGT is crucial for nucleocytovirus evolution.

evolutionary biology↗

bioRxiv2023

Topologically associating domains can arise from stochastic folding of heterogeneous fluidlike chromatin

Topologically associating domains (TADs) are critical for gene regulation. Current views attribute TAD formation to cohesin-mediated extrusion and ignore the role of physical properties of in vivo chromatin. Here, we demonstrate that the two universal properties: chromatin fluidlike behavior and heterogeneity in DNA-packing density along chromatin, can drive TAD formation. We use DNA-accessibility data to parameterize DNA-packing density along chromatin and simulate stochastic folding of the heterogeneous chromatin in nucleus to yield a conformation ensemble. Such an ensemble can be cross-validated by Hi-C and FISH data. Furthermore, the stochastic folding model allows de novo prediction of the establishment and disappearance of key TADs during early T cell differentiation. Together, our work demonstrates that the intrinsic stochastic folding of fluidlike chromatin leads to the prevalence of TAD-like domains in single cells and their cell-to-cell variation, while the heterogeneity in DNA-packing density along chromatin mediates the emergence of TADs at ensemble-averaged level. In briefA study based on polymer simulation reveals that the two universal physical properties of in vivo chromatin fiber: chromatin fluidlike behavior and heterogeneity in DNA-packing density along chromatin play a vital role in TAD formation. HighlightsO_LIIntrinsic stochastic folding of fluidlike chromatin in nuclear space underlies the prevalence of TAD-like domains in single cells and their cell-to-cell variation C_LIO_LIHeterogeneity in DNA-packing density along chromatin causes the emergence of TADs at ensemble-averaged level C_LIO_LIThe disappearance and establishment of key TADs during early T cell differentiation can occur through a stochastic folding process alone, without the need of any cohesin-mediated chromatin extrusion C_LIO_LIThe stochastic folding model applies to diverse cell types and is thus able to de novo predict the dynamics of genome organization over time C_LI

genomics↗

bioRxiv2023

Chronic high-sugar diet in adulthood protects Caenorhabditis elegans from 6-OHDA induced dopaminergic neurodegeneration

BackgroundDiets high in saturated fat and sugar, termed western diets, have been associated with several negative health outcomes, including increased risk for neurodegenerative disease. Parkinsons Disease (PD) is the second most prevalent neurodegenerative disease and is characterized by the progressive death of dopaminergic neurons in the brain. We build upon previous work characterizing the impact of high sugar diets in Caenorhabditis elegans to mechanistically evaluate the relationship between high sugar diets and dopaminergic neurodegeneration. ResultsAdult high glucose and fructose diets, or exposure from day 1-5 of adulthood, led to increased lipid content and shorter lifespan and decreased reproduction. However, in contrast to previous reports, we found that adult chronic high-glucose and high-fructose diets did not induce dopaminergic neurodegeneration alone and were protective from 6-hydroxydopamine (6-OHDA) induced degeneration. Neither sugar altered baseline electron transport chain function, and both increased vulnerability to organism-wide ATP depletion when the electron transport chain was inhibited, arguing against energetic rescue as a basis for neuroprotection. The induction of oxidative stress by 6-OHDA is hypothesized to contribute to its pathology, and high sugar diets prevented this increase in the soma of the dopaminergic neurons. However, we did not find increased expression of antioxidant enzymes or glutathione levels. Instead, we found evidence suggesting downregulation of the dopamine reuptake transporter dat-1 that could result in decreased 6-OHDA uptake. ConclusionOur work uncovers a neuroprotective role for high sugar diets, despite concomitant decreases in lifespan and reproduction. Our results support the broader finding that ATP depletion alone is insufficient to induce dopaminergic neurodegeneration, whereas increased neuronal oxidative stress may drive degeneration. Finally, our work highlights the importance of evaluating lifestyle by toxicant interactions.

pharmacology and toxicology↗

bioRxiv2023

Ripening and synchronization of biomolecular condensates in a heterogeneous elastic medium

Biomolecular condensates play a crucial role in regulating gene expression, but their behavior in chromatin remains poorly understood. Classical theories of phase separation are limited to thermal equilibrium, and traditional methods can only simulate a limited number of condensates. In this paper, we introduce a novel mean-field-like method that allows us to simulate millions of condensates in a heterogeneous elastic medium to model the dynamics of transcriptional condensates in chromatin. Using this method, we unveil an elastic ripening process in which the average condensate radius exhibits a unique temporal scaling, [<]R[>] [~] t1/5, different from the classical Ostwald ripening, and we theoretically derive the exponent based on energy conservation and scale invariance. We also introduce active dissolution to model the degradation of transcriptional condensates upon RNA accumulation. Surprisingly, three different kinetics of condensate growth emerge, corresponding to constitutively expressed, transcriptional-bursting, and silenced genes. Notably, multiple distributions of transcriptional-bursting kinetics from simulations, e.g., the burst frequency, agree with transcriptome-wide experimental data. Furthermore, the timing of growth initiation can be synchronized among bursting condensates, with power-law scaling between the synchronization period and dissolution rate. Our results shed light on the complex interplay between biomolecular condensates and the elastic medium, with important implications for gene expression regulation.

biophysics↗

bioRxiv2023

Genomic adaptation of giant viruses in polar oceans

Despite being perennially frigid, polar oceans form an ecosystem hosting high and unique biodiversity. Various organisms show different adaptative strategies in this habitat, but how viruses adapt to this environment is largely unknown. Viruses of phyla Nucleocytoviricota and Mirusviricota are groups of eukaryote-infecting large and giant DNA viruses with genomes encoding a variety of functions. Here, by leveraging the Global Ocean Eukaryotic Viral database, we investigate the biogeography and functional repertoire of these viruses at a global scale. We first confirm the existence of an ecological barrier that clearly separates polar and nonpolar viral communities, and demonstrate that temperature drives dramatic changes in the virus-host network at the polar/nonpolar boundary. Ancestral niche reconstruction suggests that adaptation of these viruses to polar conditions has occurred repeatedly over the course of evolution, with polar-adapted viruses in the modern ocean being scattered across their phylogeny. Numerous viral genes are specifically associated with polar adaptation, although most of their homologues are not identified as polar-adaptive genes in eukaryotes. These results suggest that giant viruses adapt to cold environments by changing their functional repertoire, and this viral evolutionary strategy is independent of the polar adaptation of their hosts.

microbiology↗

bioRxiv2022

The Cation/H+ exchanger OsCAX2 is involved in cadmium tolerance and accumulation through vacuolar sequestration in rice

Excessive cadmium (Cd) in rice grains is a serious food safety problem. The development of Cd-safe varieties requires the identification of germplasms and genes with major effect on Cd accumulation but without negative effects on other important traits. Here, we reported that OsCAX2, a member of the rice Cation/H+ exchanger (CAX) family, is an important Cd transporter. OsCAX2 encodes a tonoplast-localized protein and is strongly upregulated by Cd, mainly expresses in root exodermis, parenchyma in cortex, endodermis and stele cells. Depletion of OsCAX2 resulted in enhanced Cd sensitivity and root-to-shoot translocation in rice, while overexpression of OsCAX2 significantly increased Cd tolerance and reduced Cd transport by promoting root Cd influx and vacuolar storage, which ultimately reduced Cd transport via xylem. OsCAX2 also had significant effects on tissues/organs distribution of Cd but had no effects on grain yield and agronomic traits. Importantly, the OsCAX2 overexpressing lines had more than 70% lower grain Cd accumulation, increased iron (Fe), zinc (Zn) and manganese (Mn) and reduced copper (Cu) accumulation. Therefore, OsCAX2 is an ideal gene for developing Cd-safe rice varieties via transgenic approach.

plant biology↗