Biology subjects

Zhang, D.

Publications and source records attributed to Zhang, D..

At least 361 records · Page 20Linked to original sources

bioRxiv2021

BOLD fMRI signals of visual white matter encode visuotopic information and predict effective connectivity between visual areas

The functional significance of BOLD signals in white matter (WM) remains unclear. The current study investigated whether 7T BOLD fMRI signal from visual WM tracts contains high fidelity retinotopic information and whether it correlates with the effective connectivity between visual areas. Population receptive field (pRF) analysis of the 7T retinotopy dataset from the Human Connectome Project revealed clear contralateral retinotopic representations from two visual WM bundles: optic radiation (OR) and vertical occipital fasciculus (VOF). The retinotopic organization of OR is consistent with post-mortem studies. The pRF size of WM voxels also increases with eccentricity. Based on the retinotopic maps of OR, we investigated whether BOLD signals in OR during visual stimulation are related to the resting-state effective connectivity between the lateral geniculate nucleus (LGN) and the primary visual cortex (V1). Results show that visually-evoked BOLD responses in OR correlate with the feedforward and feedback connectivity between the LGN and V1 during resting state. These findings demonstrate that WM BOLD signals contain high fidelity information such as visual field maps, and also predict the functional connectivity of brain areas. Significance statementWhite matter (WM) tracks conduct spiking activity between distant neurons. Weak fluctuations of BOLD signals in the WM can be detected with fMRI, but their functional relevance remains largely unknown. Here we characterized the visual field map properties of two major visual WM bundles: the optic radiation (OR) and vertical occipital fasciculus (VOF). Population receptive field analysis of the WM BOLD signals revealed clear visual field maps in both WM tracts. Effective connectivity analysis further showed that visually evoked BOLD responses in OR can predict the resting thalamo-cortical functional connectivity. These findings demonstrate that WM BOLD signals contain highly specific functional information and could directly index the functional connectivity between brain areas.

neuroscience↗

bioRxiv2021

MicroRNA-202 prevents precocious spermatogonial differentiation and meiotic initiation during mouse spermatogenesis

Spermatogonial differentiation and meiotic initiation during spermatogenesis are tightly regulated by a number of genes including those coding enzymes for miRNA biogenesis. However, whether and how single miRNAs regulate these processes remain unclear. Here, we report that miR-202, a member of the let-7 family, prevents precocious spermatogonial differentiation and meiotic initiation in spermatogenesis by regulating the timely expression of many genes including those for other key regulators. In miR-202 knockout (KO) mice, the undifferentiated spermatogonial pool is reduced, ultimately causing agametic seminiferous tubules. SYCP3, STRA8 and DMRT6 are expressed earlier in KO mice than in wild-type (WT) littermates, and Dmrt6 mRNA is a direct target of miR-202-5p. Moreover, the precocious spermatogonial differentiation and meiotic initiation were also observed in KO spermatogonial stem cells when cultured and induced in vitro, and could be rescued by the knockdown of Dmrt6. Therefore, we have not only shown that miR-202 is a novel regulator of meiotic initiation but also added a new module to the underlying regulatory network. Summary statementA single miRNA, miR-202, prevents precocious differentiation and meiotic initiation during spermatogenesis. miR-202, DMRT6 and STRA8 act together as a novel module in the regulatory network of meiotic initiation.

developmental biology↗

bioRxiv2021

CTCF and transcription influence chromatin structure re-configuration after mitosis

During mitosis, transcription is globally attenuated and chromatin architecture is dramatically reconfigured. Here we exploited the M- to G1-phase progression to interrogate the contributions of the architectural factor CTCF and the process of transcription to re-sculpting the genome in newborn nuclei. Depletion of CTCF specifically during the M- to G1-phase transition altered the re-establishment of local short-range compartmentalization after mitosis. Chromatin domain boundary reformation was impaired upon CTCF loss, but a subset ([~]27%) of boundaries, characterized by transitions in chromatin states, was established normally. Without CTCF, structural loops failed to form, leading to illegitimate contacts between cis-regulatory elements (CREs). Transient CRE contacts that are normally resolved after telophase persisted deeply into G1-phase in CTCF depleted cells. CTCF loss-associated gains in transcription were often linked to increased, normally illegitimate enhancer-promoter contacts. In contrast, at genes whose expression declined upon CTCF loss, CTCF seems to function as a conventional transcription activator, independent of its architectural role. CTCF-anchored structural loops facilitated formation CRE loops nested within them, especially those involving weak CREs. Transcription inhibition did not elicit global architectural changes and left transcription start site-associated boundaries intact. However, ongoing transcription contributed considerably to the formation of gene domains, regions of enriched contacts spanning the length of gene bodies. Notably, gene domains formed rapidly in ana/telophase prior to the completion of the first round of transcription, suggesting that epigenetic features in gene bodies contribute to genome reconfiguration prior to transcription. The focus on the de novo formation of nuclear architecture during G1 entry yielded novel insights into how CTCF and transcription contribute to the dynamic re-configuration of chromatin architecture during the mitosis to G1 phase progression.

genomics↗

bioRxiv2021

How does the brain represent the semantic content of an image?

Using deep neural networks (DNNs) as models to explore the biological brain is controversial, which is mainly due to the impenetrability of DNNs. Inspired by neural style transfer, we circumvented this problem by using deep features that were given a clear meaning--the representation of the semantic content of an image. Using encoding models and the representational similarity analysis, we quantitatively showed that the deep features which represented the semantic content of an image mainly predicted the activity of voxels in the early visual areas (V1, V2, and V3) and these features were essentially depictive but also propositional. This result is in line with the core viewpoint of the grounded cognition to some extent, which suggested that the representation of information in our brain is essentially depictive and can implement symbolic functions naturally.

neuroscience↗

bioRxiv2021

The Human Tumor Atlas Network (HTAN) Breast PreCancer Atlas: A multi-omic integrative analysis of ductal carcinoma in situ with clinical outcomes

Ductal carcinoma in situ (DCIS) is the most common precursor of invasive breast cancer (IBC), with variable propensity for progression. We have performed the first multiscale, integrated profiling of DCIS with clinical outcomes by analyzing 677 DCIS samples from 481 patients with 7.1 years median follow-up from the Translational Breast Cancer Research Consortium (TBCRC) 038 study and the Resource of Archival Breast Tissue (RAHBT) cohorts. We identified 812 genes associated with ipsilateral recurrence within 5 years from treatment and developed a classifier that was predictive of DCIS or IBC recurrence in both cohorts. Pathways associated with recurrence include proliferation, immune response, and metabolism. Distinct stromal expression patterns and immune cell compositions were identified. Our multiscale approach employed in situ methods to generate a spatially resolved atlas of breast precancers, where complementary modalities can be directly compared and correlated with conventional pathology findings, disease states, and clinical outcome. HIGHLIGHTS Development of a new classifier for DCIS recurrence or progression Outcome associated pathways identified across multiple data types and compartments Four stroma-specific signatures identified CNAs characterize DCIS subgroups associated with high risk invasive cancers

cancer biology↗

bioRxiv2021

Spatial-ATAC-seq: spatially resolved chromatin accessibility profiling of tissues at genome scale and cellular level

Cellular function in tissue is dependent upon the local environment, requiring new methods for spatial mapping of biomolecules and cells in the tissue context. The emergence of spatial transcriptomics has enabled genome-scale gene expression mapping, but it remains elusive to capture spatial epigenetic information of tissue at cellular level and genome scale. Here we report on spatial-ATAC-seq: spatially resolved chromatin accessibility profiling of tissue section via next-generation sequencing by combining in situ Tn5 transposition chemistry and microfluidic deterministic barcoding. Spatial chromatin accessibility profiling of mouse embryos delineated tissue region-specific epigenetic landscapes and identified gene regulators implicated in the central nerve system development. Mapping the accessible genome in human tonsil tissue with 20m pixel size revealed spatially distinct organization of immune cell types and states in lymphoid follicles and extrafollicular zones. This technology takes spatial biology to a new realm by enabling spatially resolved epigenomics to improve our understanding of cell identity, state, and fate decision in relation to epigenetic underpinnings in development and disease.

genomics↗

bioRxiv2021

Comparative phylogenomic analysis reveals evolutionary genomic changes and novel toxin families in endophytic Liberibacter pathogens

Liberibacter pathogens are the causative agents of several severe crop diseases worldwide, including citrus Huanglongbing and potato Zebra Chip. These bacteria are endophytic and non-culturable, which makes experimental approaches challenging and highlights the need for bioinformatic analysis in advancing our understanding about Liberibacter pathogenesis. Here, we performed an in-depth comparative phylogenomic analysis of the Liberibacter pathogens and their free-living, nonpathogenic, ancestral species, aiming to identify the major genomic changes and determinants associated with their evolutionary transitions in living habitats and pathogenicity. We found that prophage loci represent the most variable regions among Liberibacter genomes. Using gene neighborhood analysis and phylogenetic classification, we systematically recovered, annotated, and classified all prophage loci into four types, including one previously unrecognized group. We showed that these prophages originated through independent gene transfers at different evolutionary stages of Liberibacter and only the SC-type prophage was associated with the emergence of the pathogens. Using ortholog clustering, we vigorously identified two additional sets of genomic genes, which were either lost or gained in the ancestor of the pathogens. Consistent with the habitat change, the lost genes were enriched for biosynthesis of cellular building blocks. Importantly, among the gained genes, we uncovered several previously unrecognized toxins, including a novel class of polymorphic toxins, a YdjM phospholipase toxin, and a secreted EEP protein. Our results substantially extend the knowledge on the evolutionary events and potential determinants leading to the emergence of endophytic, pathogenic Liberibacter species and will facilitate the design of functional experiments and the development of new detection and blockage methods of these pathogens. ImportanceLiberibacter pathogens are associated with several severe crop diseases, including citrus Huanglongbing, the most destructive disease to the citrus industry. Currently, no effective cure or treatments are available, and no resistant citrus variety has been found. The fact that these obligate endophytic pathogens are not culturable has made it extremely challenging to experimentally uncover from the whole genome the genes/proteins important to Liberibacter pathogenesis. Further, earlier bioinformatics studies failed to identify the key genomic determinants, such as toxins and effector proteins, that underlie the pathogenicity of the bacteria. In this study, an in-depth comparative genomic analysis of Liberibacter pathogens together with their ancestral non-pathogenic species identified the prophage loci and several novel toxins that are evolutionarily associated with the emergence of the pathogens. These results shed new lights on the disease mechanism of Liberibacter pathogens and will facilitate the development of new detection and blockage methods targeting the toxins.

microbiology↗

bioRxiv2021

Rapid and Visible RPA-Cas12a fluorescence Assay for Accurate Detection of Zoonotic Dermatophytes

BackgroundDermatophytosis is an infectious disease of global significance caused by several fungal species, which affects the hair, nails, or superficial layers of the skin. The most common zoonotic dermatophytes are Microsporum canis, Nannizzia gypsea and Trichophyton mentagrophytes. Woods lamp examination, microscopic identification and fungal culture are the main conventional diagnostic methods used in clinics. Less common methods are dermatophyte PCR and biopsy/histopathology. However, these methods also have limitations for providing both accuracy and timely on-site detection. The recent development of CRISPR-based diagnostic platform provides the possibility of a rapid, accurate, and portable diagnostic tool, which has huge potential for clinical applications. ObjectivesThe purpose of this study is to establish a molecular method for rapid and accurate diagnosis of clinical dermatophytes, which can accelerate clinical diagnostic testing and help timely treatment. MethodsIn this paper, we design a Cas12a-based assay combined with recombinase polymerase amplification (RPA) to differentiate three main zoonotic dermatophytes. The limit of detection (LOD) is determined by using standard strains. A total of 25 clinical samples (hair and scurf) are identified to evaluate the sensitivity and specificity of this assay. ResultsThe RPA-Cas12a method showed high sensitivity and specificity (100% and 100%, respectively). The results could be observed directly by naked-eyes, and all tested samples were consistent with fungal culture and sequencing results. ConclusionsCompared with other methods, the RPA-Cas12a-fluorescence assay requires less time (30 minutes) and less complicated equipment, and visible changes can be clearly observed, which is suitable for on-site clinical diagnosis.

microbiology↗

bioRxiv2021

A novel tubulin binding molecule drives differentiation of acute myeloid leukaemia cells

Acute Myeloid Leukaemia (AML) continues to have a poor prognosis, especially in the elderly. One reason for this is that many treatment regimens are not well tolerated by elderly patients. Much current focus is on the development of therapies that can target specific vulnerabilities of AML while having fewer toxic side effects. However, despite much recent progress in developing better drugs, many patients with AML still die within a year of diagnosis, partly due to the fact that it is difficult to identify therapeutic targets that are effective across multiple AML subtypes. One common factor across AML subtypes is the presence of a block in differentiation. Thus screening for compounds that can overcome this block in genetically diverse AML models should allow for the identification of agents that are not dependent on a specific mutation for their efficacy. Here, we used a phenotypic screen to identify novel compounds that stimulate differentiation in several AML cell lines. Lead compounds were shown to decrease tumour burden and to increase survival in vivo. Using multiple complementary target deconvolution approaches, these compounds were revealed to be anti-mitotic tubulin disruptors that cause differentiation by inducing a G2-M mitotic arrest. Together, these results reveal a novel function for tubulin disruptors in causing differentiation of AML cells.

cancer biology↗

bioRxiv2021

Effect of water temperature on the behavior of Neptunea cumingii and the histology, immune enzyme activity, and transcriptome of its gills and kidneys

The behavior of the marine snail Neptunea cumingii cultured at different temperatures (0, 4, 8, 12, 16 (control), 20, 24, and 28{degrees}C) and the histology, immune enzyme activity, and transcriptome of its gills and kidneys were studied using ecological and molecular methods. At 0{degrees}C, most of the snails shrank in size and did not eat during the first 6 h. At 28{degrees}C, snails also did not eat, death began to occur at 24 h. when the temperature was 8 {degrees}C and 12 {degrees}C, there was no significant difference in the mean feed intake of N. cumingii (P>0.05). And it was higher than the average conch intake under other temperature conditions. However, the histology of the gills and kidneys differed among test temperatures. At 0{degrees}C, the morphology of the gill pieces was difficult to judge. At 24{degrees}C, edema was present in the small gills, and at 28{degrees}C the small gills were severely deformed, the distance between the gill capillaries and the surrounding area was enlarged, and the gill tissue was severely damaged. Temperature increase or decrease from 16{degrees}C caused the columnar cells of the kidney to become shorter and more numerous. The total antioxidant capacity (T-AOC), catalase (CAT) and superoxide dismutase activities (SOD) of the gill and kidney differed significantly among the temperature conditions (p < 0.05). Transcriptome results showed that temperature change resulted in up-regulation of 2339 genes and down-regulation of 2058 genes in the gills, and in up-regulation of 2300 genes and down-regulation of 2060 genes in the kidneys of N. cumingii. Furthermore, the DEGs were subject to GO and KEGG enrichment analysis, and which showed that most of the DEGs in gill were involved in protein folding, defolding, translation, ribosome, and most of the DEGs in kidney were involved in DNA recombination, nuclear euchromatin, RNA-directed DNA polymerase activity. Finally, the results from this study show that N. cumingii prefers the temperature range was 8 to 16, temperature increase or decrease from that range, many aspects of N. cumingii biology could be significantly affected.

physiology↗

bioRxiv2021

recount3: summaries and queries for large-scale RNA-seq expression and splicing

We present recount3, a resource consisting of over 750,000 publicly available human and mouse RNA sequencing (RNA-seq) samples uniformly processed by our new Monorail analysis pipeline. To facilitate access to the data, we provide the recount3 and snapcount R/Bioconductor packages as well as complementary web resources. Using these tools, data can be downloaded as study-level summaries or queried for specific exon-exon junctions, genes, samples, or other features. Monorail can be used to process local and/or private data, allowing results to be directly compared to any study in recount3. Taken together, our tools help biologists maximize the utility of publicly available RNA-seq data, especially to improve their understanding of newly collected data. recount3 is available from http://rna.recount.bio.

genomics↗

bioRxiv2021

RNA-CLAMP Enables Photo-activated Control of CRISPR-Cas9 Gene Editing by Site-specific Intramolecular Cross-linking of the sgRNA

Here we introduce RNA-CLAMP, a technology which enables site-specific and enzymatic cross-linking (clamping) of two selected stem loops within an RNA of interest. Intramolecular clamping of the RNA can disrupt normal RNA function, whereas subsequent photo-cleavage of the crosslinker restores activity. We applied the RNA-CLAMP technique to the single guide RNA of the CRISPR-Cas9 gene editing system. By clamping two stem loops of the single-guide RNA (sgRNA) with a photo-cleavable cross-linker, gene editing was completely silenced. Visible light irradiation cleaved the crosslinker and restored gene editing with high spatiotemporal resolution. Furthermore, by designing two photo-cleavable linkers which are responsive to different wavelength of lights, we achieved multiplexed photo-activation of gene editing in mammalian cells. Notably, although the Cas9-sgRNA RNP is not capable of DNA cleavage activity upon clamping, it maintained the capability to bind to the target DNA. The RNA-CLAMP enabled photo-activated CRISPR-Cas9 gene editing platform offers clean background, free choice of activation wavelength and multiplexing capability. We believe that this technology to precisely and rapidly control gene editing will serve as a versatile tool in the future development of stimuli responsive gene editing technologies. Beyond gene editing, RNA-CLAMP provides a site-specific tool for manipulating the internal structure of functional RNAs.

biochemistry↗

bioRxiv2021

Gasdermin D mediates inflammation-induced defects in reverse cholesterol transport and promotes atherosclerosis.

Activation of inflammasomes, such as Nlrp3 and Aim2, can exacerbate atherosclerosis in mice and humans. Gasdermin D (GsdmD) serves as a final executor of inflammasome activity, by generating membrane pores for the release of mature Interleukin-1beta (IL-1{beta}). Inflammation dampens reverse cholesterol transport (RCT) and promotes atherogenesis, while anti-IL-1{beta} antibodies were shown to reduce cardiovascular disease in humans. Though Nlrp3/AIM2 and IL-1{beta} nexus is an emerging atherogenic pathway, the direct role of GsdmD in atherosclerosis is not yet fully clear. Here, we used in-vivo Nlrp3 inflammasome activation to show that the GsdmD-/- mice release ~80% less IL-1{beta} vs WT mice. The GsdmD-/- macrophages were more resistant to Nlrp3 inflammasome mediated reduction in cholesterol efflux, showing ~26% decrease vs. ~60% reduction in WT macrophages. GsdmD expression in macrophages exacerbated foam cell formation in an IL-1{beta} dependent fashion. The GsdmD-/- mice were resistant to Nlrp3 inflammasome mediated defect in RCT, with ~32% reduction in plasma RCT vs. ~ 57% reduction in WT mice, ~ 17% reduction in RCT to liver vs. 42% in WT mice, and ~ 37% decrease in RCT to feces vs. ~ 61% in WT mice. The LDLr anti-sense oligonucleotides (ASO) induced hyperlipidemic mouse model showed the role of GsdmD in promoting atherosclerosis. The GsdmD-/- mice exhibit ~42% decreased atherosclerotic lesion area in females and ~33% decreased lesion area in males vs. WT mice. The atherosclerotic plaque-bearing sections stained positive for the cleaved N-terminal fragment of GsdmD, indicating cleavage of GsdmD in atherosclerotic plaques. Our data show that GsdmD mediates inflammation-induced defects in RCT and promotes atherosclerosis. SummaryGsdmD mediates inflammation-induced defects in RCT and promotes atherosclerosis.

pathology↗

bioRxiv2021

Combinatorial interactions between viral proteins expand the functional landscape of the viral proteome

As intracellular parasites, viruses need to manipulate the molecular machinery of their host cells in order to enable their own replication and spread. This manipulation is based on the activity of virus-encoded proteins. The reduced size of viral genomes imposes restrictions in coding capacity; how the action of the limited number of viral proteins results in the massive cell reprogramming observed during the viral infection is a long-standing conundrum in virology. In this work, we explore the hypothesis that combinatorial interactions expand the multifunctionality of viral proteins, which may exert different activities individually and when in combination, physical or functional. We show that the proteins encoded by a plant-infecting DNA virus physically associate with one another in an intricate network. Our results further demonstrate that these interactions can modify the subcellular localization of the viral proteins involved, and that co-expressed interacting viral proteins can exert novel biological functions in planta that go beyond the sum of their individual functions. Based on this, we propose a model in which combinatorial physical and functional interactions between viral proteins enlarge the functional landscape of the viral proteome, which underscores the importance of studying the role of viral proteins in the context of the infection.

plant biology↗

bioRxiv2021

Substitutions and codon usage in SARS-CoV-2 in mammals indicate natural selection and host adaptation

The outbreak of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, rapidly spread to create a global pandemic and has continued to spread across hosts from humans to animals, transmitting particularly effectively in mink. How SARS-CoV-2 evolves in animals and humans and the differences in the separate evolutionary processes remain unclear. We analyzed the composition and codon usage bias of SARS-CoV-2 in infected humans and animals. Compared with other animals, SARS-CoV-2 in mink had the most substitutions. The substitutions of cytidine in SARS-CoV-2 in mink account for nearly 50% of the substitutions, while those in other animals represent only 30% of the substitutions. The incidence of adenine transversion in SARS-CoV-2 in other animals is threefold higher than that in mink-CoV (the SARS-CoV-2 virus in mink). A synonymous codon usage analysis showed that SARS-CoV-2 is optimized to adapt in the animals in which it is currently reported, and all the animals showed decreased adaptability relative to that of humans, except for mink. A binding affinity analysis indicated that the spike protein of the SARS-CoV-2 variant in mink showed a greater preference for binding with the mink receptor ACE2 than with the human receptor, especially as the mutation Y453F and F486L in mink-CoV lead to improvement of binding affinity for mink receptor. Our study focuses on the divergence of SARS-CoV-2 genome composition and codon usage in humans and animals, indicating possible natural selection and current host adaptation.

evolutionary biology↗

bioRxiv2021

Detection of pathogenic splicing events from RNA-sequencing data using dasper

Although next-generation sequencing technologies have accelerated the discovery of novel gene-to-disease associations, many patients with suspected Mendelian diseases still leave the clinic without a genetic diagnosis. An estimated one third of these patients will have disorders caused by mutations impacting splicing. RNA-sequencing has been shown to be a promising diagnostic tool, however few methods have been developed to integrate RNA-sequencing data into the diagnostic pipeline. Here, we introduce dasper, an R/Bioconductor package that improves upon existing tools for detecting aberrant splicing by using machine learning to incorporate disruptions in exon-exon junction counts as well as coverage. dasper is designed for diagnostics, providing a rank-based report of how aberrant each splicing event looks, as well as including visualization functionality to facilitate interpretation. We validate dasper using 16 patient-derived fibroblast cell lines harbouring pathogenic variants known to impact splicing. We find that dasper is able to detect pathogenic splicing events with greater accuracy than existing LeafCutterMD or z-score approaches. Furthermore, by only applying a broad OMIM gene filter (without any variant-level filters), dasper is able to detect pathogenic splicing events within the top 10 most aberrant identified for each patient. Since using publicly available control data minimises costs associated with incorporating RNA-sequencing into diagnostic pipelines, we also investigate the use of 504 GTEx fibroblast samples as controls. We find that dasper leverages publicly available data effectively, ranking pathogenic splicing events in the top 25. Thus, we believe dasper can increase diagnostic yield for a pathogenic splicing variants and enable the efficient implementation of RNA-sequencing for diagnostics in clinical laboratories.

bioinformatics↗

bioRxiv2021

Verticillium dahliae effector VDAL protects MYB6 from degradation by interacting with PUB25/26 E3 ligases for enhancing Verticillium wilt resistance in Arabidopsis

Verticillium wilt is a severe plant disease that causes massive losses in multiple crops. Increasing the plant resistance to Verticillium wilt is a critical challenge worldwide. Here, we report that the hemibiotrophic Verticillium dahliae (V. dahliae)-secreted Asp f2-like protein VDAL causes leaf wilting when applied to cotton leaves in vitro, but enhances the resistance to V. dahliae when overexpressed in Arabidopsis or cotton without affecting the plant growth and development. VDAL protein interacts with Arabidopsis E3 ligases PUB25 and PUB26 (PUBs) and is ubiquitinated by PUBs in vitro. However, VDAL is not degraded by PUB25 or PUB26 in planta. Besides, the pub25 pub26 double mutant shows higher resistance to V. dahliae than the wild type. PUBs interact with the transcription factor MYB6 in a yeast two-hybrid screen. MYB6 promotes plant resistance to Verticillium wilt while PUBs ubiquitinate MYB6 and mediate its degradation. VDAL competes with MYB6 for binding to PUBs, and the role of VDAL in increasing Verticillium wilt resistance depends on MYB6. Taken together, these results suggest that plants evolute a strategy to utilize the invaded effector protein VDAL to resist the V. dahliae infection without causing a hypersensitive response (HR), Alternatively, in order to take nutrients from host cells, hemibiotrophic pathogens may use some effectors to keep plant cells alive during its infection in order to take nutrients from host cells. This study provides the molecular mechanism for plants increasing disease resistance when overexpressing some effector proteins without inducing HR, and may promote searching for more genes from pathogenic fungi or bacteria to engineer plant disease resistance. One-sentence summaryEctopically expressed VDAL in Arabidopsis alleviates the degradation of a positive disease response factor MYB6 through its interaction with PUB25/26 E3 ligases.

plant biology↗

bioRxiv2021

Class I Histone Deacetylases (HDAC1-3) are Histone Lysine Delactylases

Lysine O_SCPLOWLC_SCPLOW-lactylation [K(O_SCPLOWLC_SCPLOW-la)] is a newly discovered histone mark that can be stimulated under conditions of high glycolysis, such as the Warburg effect. K(O_SCPLOWLC_SCPLOW-la) is associated with functions that are different from the widely studied histone acetylation. While K(O_SCPLOWLC_SCPLOW-la) can be introduced by the acetyltransferase p300, histone delactylase enzymes remain unknown. Here, we report the systematic evaluation of zinc- and NAD+-dependent HDACs for their ability to cleave {varepsilon}-N-O_SCPLOWLC_SCPLOW-lactyllysine marks. Our screens identified HDACs 1-3 and SIRT1-3 as delactylases in vitro. HDACs 1-3 show robust activity toward not only K(O_SCPLOWLC_SCPLOW-la) but also K(O_SCPLOWDC_SCPLOW-la) and diverse short-chain acyl modifications. We further confirmed the de-O_SCPLOWLC_SCPLOW-lactylase activity of HDACs 1 and 3 in cells. Identification of p300 and HDAC3 as regulatory enzymes suggests that histone lactylation is installed and removed by enzymes as opposed to spontaneous chemical reactivity. Our results therefore represent an important step toward full characterization of this pathways regulatory elements.

biochemistry↗