Biology subjects

Zhai, X.

Publications and source records attributed to Zhai, X..

At least 19 recordsLinked to original sources

bioRxiv2026

β-Catenin Drives Apical-Basal Polarization to facilitate TE lineage commitment In Vitro and In Vivo

Embryo polarization is critical for the first cell fate segregation. While mechanisms underlying its initiation have been described, the intrinsic signaling pathways that regulate this process remain poorly understood. Here, we show that mouse embryonic stem cells, when aggregated under defined conditions, recapitulate the first lineage segregation to generate trophectoderm (TE)-like cell populations and undergo self-organized morphogenesis into blastocyst-like structures. In the blastoid-forming medium, we identify CHIR99021 is essential for the generation of blastoids from both ESCs and totipotent-like cells. CHIR99021 promotes cell polarization and TE differentiation by activating the WNT/{beta}-catenin pathway and upregulating associated genes. Consistent with this, genetic ablation of {beta}-catenin abolished the cell polarization and disrupted blastoid formation from ESCs, a defect that was restored by {beta}-catenin overexpression. Moreover, {beta}-catenin depletion compromised cell polarization in natural embryos. Collectively, this study establishes the Wnt/{beta}-catenin as a critical regulator initiating polarization in vitro and in mouse early embryo development.

developmental biology↗

bioRxiv2026

RIPK3 suppresses photoreceptor degeneration in a Stargardt disease mouse model

Autosomal recessive Stargardt disease type 1 (STGD1) is the most prevalent inherited juvenile macular degeneration, ultimately leading to irreversible blindness through photoreceptor cell loss, yet the underlying cell death mechanisms remain poorly defined. Receptor-interacting protein kinase 3 (RIPK3) is a well-established mediator of necroptosis and, under certain circumstances, apoptosis downstream of TNF family ligands, and it was found to be progressively upregulated in the retina of a STGD1 abca4-/-rdh8-/- (DKO) mouse model coinciding with the onset and progression of photoreceptor degeneration. Despite elevated RIPK3 expression, necroptosis was not detectable in this model, as evidenced by the absence of phosphorylated MLKL and unaltered photoreceptor degeneration in abca4-/- rdh8-/-mlkl-/- mice. Intriguingly, genetic ablation of Ripk3 exacerbated photoreceptor loss in DKO mice in both chronic (age-dependent) and acute (light-induced) retinal degeneration paradigms. This detrimental effect was partially ameliorated by pan-caspase inhibition in the acute degeneration model, indicating caspase-dependent apoptosis as the primary executioner. Mechanistically, we demonstrated that RIPK3 suppressed extrinsic apoptosis by attenuating caspase-8 activation downstream of TNF family ligands. Collectively, our findings reveal a non-canonical, protective role of RIPK3 in photoreceptors, as a brake on apoptotic signaling rather than a necroptotic executor, in the context of STGD1. These findings redefine the role of RIPK3 in retinal degeneration and emphasize the contextual plasticity of cell death regulators in neurodegenerative diseases.

neuroscience↗

bioRxiv2026

Basal ppGpp regulation by SpoT coordinates metabolic homeostasis and acid resistance

Bacteria maintain low basal levels of the alarmone ppGpp during steady-state growth, yet how this basal state is established and why it matters physiologically remain poorly understood. Here, we show that basal ppGpp represents an actively maintained regulatory state that coordinates metabolic homeostasis with stress resistance. Using a targeted perturbation of SpoT regulation in Escherichia coli, we uncover a sharp requirement for a sub-basal yet non-zero ppGpp pool to sustain growth in minimal medium and survival under extreme acid stress. Disruption of this basal state leads to misallocation of metabolic flux into arginine biosynthesis, depletion of glutamate, and collapse of the glutamate-dependent Gad acid resistance system. Through intragenic suppressor analysis, enzymatic perturbations, and protein-level feedback measurements, we further demonstrate that SpoT intrinsically tunes basal ppGpp through a distributed intramolecular regulatory network coupled to negative feedback control of SpoT abundance. This regulatory logic stabilizes ppGpp within a narrow physiological window, below the threshold of canonical stringent response activation. The requirement for SpoT-dependent basal ppGpp regulation is conserved in pathogenic Salmonella and Shigella. Together, our findings establish basal ppGpp as a distinct and actively regulated signaling regime that integrates metabolism and stress preparedness beyond acute starvation responses.

microbiology↗

bioRxiv2026

Asymmetric Division in a Two-Cell-Like State Rejuvenates Embryonic Stem Cells

A fundamental question in biology is whether cellular aging is inevitable. Embryonic stem cells (ESCs) challenge this paradigm as rare normal cells capable of indefinite in vitro passage. However, the mechanisms underlying ESC lineage immortality remain unresolved. Using long-term live-cell imaging to follow fates of single ESCs, we show here that ESC lineage renewal is achieved through sporadic entry into a state characterized by the expression of two-cell embryo-specific markers. During this state, cells undergo asymmetric divisions, segregating accumulated DNA damage into one daughter lineage destined for elimination, while producing a second lineage that reverts to the pluripotent state. Importantly, the latter lineage exhibits signs of rejuvenation, including reduced DNA damage and enhanced chimeric efficiency. These findings underscore the crucial role of asymmetric cell division in maintaining the long-term health of the ESC lineage against mounting damage within individual cells, a potential model for studying cellular aging and rejuvenation in mammalian cells.

cell biology↗

bioRxiv2025

Conformation-specific Antibody Deciphers K27-linked Ubiquitination in Chaperone-Mediated Proteostasis

Lysine 27 (K27)-linked polyubiquitination plays critical yet incompletely defined roles in proteostasis, innate immunity, and disease progression; however, investigations into this process have long been hindered by its extremely low abundance and the lack of conformation-specific enrichment tools. Herein, we describe the development of a long-sought conformation-specific antibody, K27-IgG, which can selectively recognize--among all ubiquitin chain types--the unique architecture of K27-linked polyubiquitin (K27-polyUb) characterized by a distinct buried K27-isopeptide bond, with high affinity (KD = 4.66 nM). This antibody was derived from synthetic antibodies initially generated via phage display, using chemically synthesized K27-linked diubiquitin (K27-diUb) as the antigen. High-resolution co-crystal structures uncovered the unique K27-diUb interface targeted by these sAbs. Subsequent reformatting of these sAbs into a full-length human immunoglobulin G (IgG) scaffold yielded K27-IgG, notably exhibiting markedly enhanced affinity without compromising selectivity. Using K27-IgG as a tool, we achieved sensitive detection and immunoprecipitation (IP) of endogenous K27-polyUb in cells, and delineated the intracellular interaction landscape of K27-polyUb through complementary proteomic approaches. Two key findings emerged: 1) The molecular chaperone DNAJB1 is a specific reader of K27-linked ubiquitin chains (but not other linkages) and that K27-polyUb chains themselves exhibit chaperone-like activity, suggesting a novel mechanism by which K27-polyUb regulates chaperone-mediated proteostasis; 2) The E2 enzyme UBE2Q1 assembles K27-diUb, identifying it as a potential writer for this ubiquitin chain topology. Collectively, this study establishes K27-IgG as a robust tool for deciphering the K27-linked ubiquitin code, thereby opening new avenues for investigating the biological functions of K27-linked polyubiquitination. HighlightsO_LIFirst K27-linkage conformation-specific antibody with nanomolar affinity overcomes a major barrier in the field. C_LIO_LIK27-IgG unlocks functional mapping of the K27 ubiquitin landscape under proteotoxic stress. C_LIO_LIMolecular chaperone DNAJB1 is a selective "reader" of K27-linked ubiquitin chains. C_LIO_LIK27 chains possess intrinsic chaperone activity, enabling protein refolding and suppressing aggregation. C_LIO_LIE2 enzyme UBE2Q1 is a "writer" that directly assembles K27-linked ubiquitin chains. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/695067v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@113b980org.highwire.dtl.DTLVardef@1f7c1a0org.highwire.dtl.DTLVardef@c91656org.highwire.dtl.DTLVardef@1d9a507_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2025

High-throughput functional characterization of enhancers in totipotent-like cells

Zygotic genome activation (ZGA) marks the initial transcription event in embryogenesis, yet the cis-regulatory mechanism remains unclear. Here, utilizing massively parallel reporter assays, we functionally dissect enhancers across mouse genome in DUX-induced 2C-like cells (2CLCs). Integrated analysis with epigenomic and transcriptomic data from 2CLCs and 2-cell (2C) embryos, active enhancers in totipotent cells are depicted. Among them, a notable proportion of promoters exhibit enhancer activities, showing elevated active chromatin features and correlating with enhanced gene expression during ZGA. Furthermore, only half of the MT2_Mm exhibit enhancer activities in 2CLCs. In addition, 2CLC enhancers augment transcription in 2C embryos. Finally, deleting enhancer regions in both 2CLCs and 2C embryos highlighted their crucial role in facilitating transcription of ZGA genes. These findings advance our comprehension of the cis-regulatory mechanism governing ZGA process.

developmental biology↗

bioRxiv2025

Programmable Aptamer-Embedded Circular RNAs for Targeted Antigen-Presenting Cells Immunotherapy

The targeted delivery of mRNA to specific cell types in vivo remains a major unmet need in mRNA-based therapeutics. Conventional strategies rely on nanocarriers engineered with various modifications. However, these exogenous materials could cause adverse reactions, and their complex manufacturing processes often hinder clinical application. By leveraging the innate programmability of RNA sequences, we herein report a carrier-free, scalable, and programmable aptamer-embedded circular RNAs (Apt-circRNAs) design that confers targeting capability through the strategic incorporation of different aptamers at varying densities, while retaining circular RNA stability and protein production capability. Experimental results show that antigen-loaded Apt-circRNAs enable targeted delivery to antigen-presenting cells (APCs), drive endogenous antigen expression, activate antigen-specific T cells, and elicit potent immune responses that mediate clearance of both early-and late-stage tumors in mouse models. In humanized models of colorectal cancer, the combination of Apt-circRNA and PD-1 blockade produced synergistic antitumor effects and significantly reshaped the tumor microenvironment. In a first-in-human (FIH) clinical trial, Apt-circRNA vaccine encoding KRAS G12D/G12V neoantigens exhibited a favorable safety profile and induced robust immune activation, T cell mobilization, and neoantigen-specific immune responses. With this study, we have established a new paradigm in carrier-free, APC-targeted RNA vaccine design, offering a safe and effective platform for next-generation cancer immunotherapy.

bioengineering↗

bioRxiv2024

High-coverage, massively parallel sequencing of single-cell genomes with CAP-seq

Microbial communities are extraordinarily diverse and play crucial roles in health and disease, yet current methods lack the resolution and scalability needed to dissect their genomic and ecological complexity at the single-cell level. Here, we present CAP-seq, a high-throughput single-microbe genomics platform that combines hydrogel-based semi-permeable encapsulation with minimal microfluidics to recover thousands of single-amplified genomes (SAGs) with long reads and high completeness at low sequencing depth. We benchmarked CAP-seq using defined microbial communities, demonstrating strain-level resolution, accurate detection of rare taxa, and genome recovery exceeding 50% at [~]10x coverage. Applying CAP-seq to pediatric Clostridioides difficile infection microbiomes, we generated a high-resolution single-cell atlas comprising tens of thousands of SAGs across hundreds of species. Host-resolved profiling of the cryptic plasmid pBI143 revealed previously hidden low-abundance host associations, six new plasmid versions, and their coexistence within individuals, indicating complex plasmid evolution in situ. Longitudinal analysis during fecal microbiota transplantation and vancomycin treatment uncovered dynamic remodeling of microbial hosts, antimicrobial resistance genes, and plasmids at single-cell resolution. CAP-seq enables scalable, high-performance single-cell genomics and provides a practical, widely accessible platform for microbiome analysis, paving the way for large-scale exploration of microbial dark matter and host-microbe interactions across diverse ecosystems.

genomics↗

bioRxiv2024

Droplet-AI-empowered high-throughput screening of cell-free gene expression

Cell-free gene expression (CFE) systems enable transcription and translation using crude cellular extracts, offering a versatile platform for synthetic biology by eliminating the need to maintain living cells. This allows direct manipulation of molecular components and the focused synthesis of specific products. However, the optimization of CFE systems is constrained by cumbersome composition, high costs, and limited yields due to numerous additional components required to maintain biocatalytic efficiency. While optimizing such complicated systems is daunting for existing high-throughput screening means, we introduce DropAI, a droplet-based, AI-driven screening strategy designed to optimize CFE systems with high throughput and economic efficiency. DropAI employs microfluidics to generate picoliter reactors and utilizes a fluorescent color-based coding-decoding system to address and screen a vast array of additive combinations. The in-droplet screening is complemented by in silico optimization, where experimental results train a machine-learning model to estimate the contribution of the components and predict high-yield combinations, which are then validated in vitro. Applying DropAI to an Escherichia coli-based CFE system, we simplified a set of 12 additives to only 3 essential components. Through further optimization, we achieved a 2.1-fold cost reduction and a 1.9-fold increase in yield for the expression of superfolder green fluorescent protein (sfGFP). This optimized formulation was further validated across 12 different proteins. Notably, the established E. coli model is successfully adapted to a Bacillus subtilis-based system through transfer learning, leading to doubled yield through prediction. DropAI thus offers a generalizable and scalable method for optimizing CFE systems, enhancing their potential for biochemical engineering and biomanufacturing applications.

bioengineering↗

bioRxiv2024

A single strand-based library preparation method for unbiased virome characterization

The gut virome is an integral component of the gut microbiome, playing a crucial role in maintaining gut health. However, accurately depicting the entire gut virome is challenging due to the inherent limitations and biases associated with current sequencing library preparation methods. To overcome these problems, we repurposed the ligation-based single-stranded library (SSLR) preparation method for virome studies. We demonstrate that the SSLR method exhibits exceptional efficiency in quantifying viral DNA genomes (both dsDNA and ssDNA) and outperforms existing double-stranded (Nextera) and single-stranded (xGen, MDA+Nextera) library preparation approaches in terms of minimal amplification bias, evenness of coverage, and integrity of assembling viral genomes. The SSLR method can be utilized for the simultaneous library preparation of both DNA and RNA viral genomes. Furthermore, the SSLR method showed its ability to capture highly modified phage genomes, which were often lost using other library preparation approaches.

microbiology↗

bioRxiv2024

Hairpin-locker mediated CRISPR/Cas tandem system for ultrasensitive detection of DNA without pre-amplification

Achieving ultra-sensitive detection of DNA is of paramount importance in the field of molecular analytics. Conventional amplification technologies such as polymerase chain reaction (PCR) currently play a leading role in ultrasensitive DNA detection. However, amplicon contamination common in these techniques may lead to false positives. To date, CRISPR-associated nucleases (type V & VI) with their programmable cleavage have been utilised for sensitive detection of unamplified nucleic acids in complex real samples. Nevertheless, without additional amplification strategies, the pM range sensitivity of such CRISPR/Cas sensors is not sufficient for clinical applications. Here, we established a hairpin-locker (H-locker) mediated Cas12-Cas13 tandem biosensing system (Cas12-13 tandem-sensor) for ultrasensitive detection of DNA targets. Without the need for any additional amplification reaction or device, this system is capable of detecting DNA at a notable 1 aM level (<1 copy/uL) sensitivity. In addition, the system was able to distinguish cancer mutations in colorectal cancer (CRC) mice. This is a significant advance for CRISPR/Cas biosensing technology offering simple, highly sensitive, and user-friendly diagnostics for next-generation nucleic acid detection. O_TBL View this table: org.highwire.dtl.DTLVardef@7fc32eorg.highwire.dtl.DTLVardef@1e716ceorg.highwire.dtl.DTLVardef@8a43e0org.highwire.dtl.DTLVardef@16e286dorg.highwire.dtl.DTLVardef@1202eb0_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 1.C_FLOATNO O_TABLECAPTIONDNA and RNA oligos used in this study. C_TABLECAPTION C_TBL

molecular biology↗

bioRxiv2024

Low-dimensional interference of mid-level sound statistics predicts human speech recognition in natural environmental noise

Recognizing speech in noise, such as in a busy restaurant, is an essential cognitive skill where the task difficulty varies across environments and noise levels. Although there is growing evidence that the auditory system relies on statistical representations for perceiving 1-5 and coding4,6-9 natural sounds, its less clear how statistical cues and neural representations contribute to segregating speech in natural auditory scenes. We demonstrate that human listeners rely on mid-level statistics to segregate and recognize speech in environmental noise. Using natural backgrounds and variants with perturbed spectro-temporal statistics, we show that speech recognition accuracy at a fixed noise level varies extensively across natural backgrounds (0% to 100%). Furthermore, for each background the unique interference created by summary statistics can mask or unmask speech, thus hindering or improving speech recognition. To identify the neural coding strategy and statistical cues that influence accuracy, we developed generalized perceptual regression, a framework that links summary statistics from a neural model to word recognition accuracy. Whereas a peripheral cochlear model accounts for only 60% of perceptual variance, summary statistics from a mid-level auditory midbrain model accurately predicts single trial sensory judgments, accounting for more than 90% of the perceptual variance. Furthermore, perceptual weights from the regression framework identify which statistics and tuned neural filters are influential and how they impact recognition. Thus, perception of speech in natural backgrounds relies on a mid-level auditory representation involving interference of multiple summary statistics that impact recognition beneficially or detrimentally across natural background sounds. Significance StatementRecognizing speech in natural auditory scenes with competing talkers and environmental noise is a critical cognitive skill. Although normal listeners effortlessly perform this task, for instance in a crowded restaurant, it challenges individuals with hearing loss and our most sophisticated machine systems. We tested human participants listening to speech in natural noises with varied statistical characteristics and demonstrate that they rely on a statistical representation of sounds to segregate speech from environmental noise. Using a model of the auditory system, we then demonstrate that a brain inspired statistical representation of natural sounds accurately predicts human perceptual trends across wide range of natural backgrounds and noise levels and reveals key statistical features and neural computations underlying human abilities for this task.

neuroscience↗

bioRxiv2024

HortGenome Search Engine, a universal genomic search engine for horticultural crops

Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows querying genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 400 horticultural crops. In addition, four commonly used tools, including BLAST, Batch Query, Enrichment analysis, and Synteny Viewer, have been developed for efficient mining and analysis of these genomic data.

bioinformatics↗

bioRxiv2022

A unified classification system for HIV-1 5' long terminal repeats

The HIV-1 provirus mainly consists of internal coding region flanked by the 2 same long terminal repeats (LTRs) at each terminus. The LTRs play important roles in HIV-1 reverse transcription, integration, and transcription by the association with host factors. However, despite of the significant study advances of the internal coding regions of HIV-1 by using definite reference classification, there are no systematic classifications for HIV-1 5 LTRs, which hinders our elaboration on 5 LTR and a better understanding of the viral origin, spread and therapy. Here, by analyzing all available resources of 5 LTR sequences in public databases following 4 recognized principles for the reference classification, 83 representatives and 14 consensus sequences were identified as representatives of 2 groups, 6 subtypes, 6 sub-subtypes, and 9 CRFs. To test the reliability of our established classification system, the constructed references were applied to identify the 5 LTR assignment of the 22 clinical isolates in China. The results revealed that 16 out of 22 tested strains showed a consistent subtype classification with the previous LTR-independent classification system. However, 6 strains, for which recombination events within 5 LTR were demonstrated, unexpectedly showed a different subtype classification, leading a significant change of binding sites for important transcription factors including SP1, p53, and NF-{kappa}B. The binding change of these transcriptional factors would probably affect the transcriptional activity of 5 LTR. This study established a unified classification system for HIV-1 5 LTRs, which will facilitate HIV-1 characterization and be helpful for both basic and clinical research fields. IMPORTANCEHere, a scientific, reliable, and usable classification system based on the 5 LTR sequences was established, which will allow us to effectively facilitate the precise typing of HIV-1 strains. This classification system was applied to 22 HIV-1 strains circulating in China, we found that 6 out of 22 strains analyzed, belonged to a different subtype when our results were compared to those obtained with the previous LTR-independent classification system. Thus, these data demonstrated that our classification method could greatly improve the HIV-1 subtype classification. We found that 6 5 LTR sequences showed recombination events, leading to a significant exchange of the binding sites of transcriptional factors. Thus, this work established a comprehensive HIV-1 5 LTR classification system, which will help the scientific community to precisely characterize HIV-1 variants, and better understand the origin and spread of HIV-1 strains, and it also may be helpful for pathogenicity and transmissibility evaluation studies.

microbiology↗

bioRxiv2022

Recalibrating the cerebellum DNA methylation clock: implications for ageing rates comparison

BackgroundDNA methylation (DNAm) based age clocks have been studied extensively as a biomarker of human ageing and risk factor for age-related diseases. Despite different tissues having vastly different rates of proliferation, it is still largely unknown whether they age at different rates. It was previously reported that the cerebellum ages slowly, however, this claim was drawn from a single clock using a small sample size and so warrants further investigation. ResultsWe collected the largest cerebellum DNAm dataset (N=752). We found the respective epigenetic ages are all severely underestimated by six representative DNAm age clocks, with the underestimation effects more pronounced in the four clocks whose training datasets do not include brain-related tissues. We identified 613 age-associated CpGs in the cerebellum, which accounts for only 14.5% of the number found in the middle temporal gyrus from the same population (N=404), of which only 201 CpGs are both age-associated in the two tissue types. We built a highly accurate age prediction model for the cerebellum named CerebellumClockspecific (Pearson correlation=0.941, MAD=3.18 years). Furthermore, based on the 201 age-associated CpGs, we built two other clocks CerebellumClockcommon and CortexClockcommon for the cerebellum and non-cerebellar brain cortex tissues separately, they both support that the cerebellum has a relative lower DNAm ageing rate. ConclusionsThe large underestimation for the cerebellum by previous clocks mainly reflects the improper usage of the age clocks. There exist strong and consistent ageing effects on the cerebellar methylome despite the cerebellum having unique age-dependent methylome changes. The DNAm clock based ageing rates comparisons are valid only upon models constructed on a small group of CpGs, therefore, more evidence is required to support the idea that different DNAm ageing rates represent different biological ageing rates.

bioinformatics↗

bioRxiv2022

Highly efficient generation of blastocyst-like structures from mouse totipotent blastomere-like cells

Mammalian embryogenesis begins with a totipotent zygote. Early embryogenesis can be recapitulated by aggregated extended pluripotent stem cells (EPSCs) in a 3D culture system. However, the efficiency of generating blastoids is low and whether other reported totipotent stem cells retained a similar capacity remains unknown. Here we show that spliceosomal repressed totipotent blastomere-like cells (TBLCs) form blastocyst-like structures when aggregated in 3D microwells with around 80% efficiency. TBLC-blastoids resemble blastocyst in morphology and cell-lineage allocation, show similar transcriptional profile with natural blastocyst and contain more TE cells and fewer undefined intermediate cells compared to blastoids from EPSCs. Moreover, TBLC-blastoids can develop beyond the implantation stage in vitro and induce decidualization after transferred into uterus. In summary, we supply an alternative cell type to generate ameliorated blastoids highly efficiently for studying early mouse embryogenesis.

developmental biology↗

bioRxiv2022

Identification and characterization of the HERV-K (HML-8) group of human endogenous retroviruses in the genome

Human endogenous retroviruses (HERV) could vertically transmit in a Mendelian fashion and stable maintenance in the human genome which are estimated to comprise about 8%. HERVs affect human physiology and pathology based on the effect of the provirus-encoded protein or LTR elements. The characterization of the genomic distribution is an essential step to understanding the relationship between endogenous retrovirus expression and diseases. However, the poorly characterization of HML-8 hinders a detailed understanding of the expression regulation of this family in human health and its actual impact on host genomes. In the light of this, the definition of a precise and updated HERV-K HML-8 genomic map is urgently needed. Here we report a comprehensive analysis of HERV-K HML-8 sequences presence and distribution within the human genome, with a detailed description of the different structural and phylogenetic aspects characterizing the group. A total of 40 proviruses and 5 solo LTR elements were characterized with a detailed description of provirus structure, integration time, potentially regulated genes, transcription factor binding sites, and primer binding site feature. The integration time results showed that the HML-8 elements found in the human genome have been integrated in the primate lineage between 23.5 and 52 million years ago (mya). Overall, the results have finally clarified the composition of HML-8, providing an exhaustive background for subsequent functional studies. Highlights[tpltrtarr] A comprehensive characterization of the HERV-K (HML-8) in human genome. [tpltrtarr]There is an apparent preference of HML-8 into intergenic regions and introns. [tpltrtarr]There are two distinct clusters for the env region of the HML-8 elements. [tpltrtarr]The average time of HML-8 integration in human is 37.1 mya.

microbiology↗

bioRxiv2021

Replication protein Rep provides selective advantage to viruses in the presence of CRISPR-Cas immunity

Prokaryotic viruses express anti-CRISPR (Acr) proteins to inhibit the host adaptive immune system, CRISPR-Cas. While the virus infection biology was shown to be strongly dependent on the relative strengths of the host CRISPR-Cas and viral Acrs, little is known about the role of the core processes of viral life cycle (replication, packaging etc) in defence/anti-defence arms race. Here, we demonstrate the selective advantage provided by a replication initiator, Rep, in the context of CRISPR-Acr interactions. First, we developed a two-host based CRISPR-Cas genome editing tool for the deletion of highly conserved and thus potentially important viral genes. Using this strategy, we deleted a highly conserved Rep-coding gene, gp16, from the genome of Sulfolobus islandicus rod-shaped virus 2 (SIRV2). The knockout mutant ({Delta}gp16) produced around 4 fold less virus in a CRISPR-null host, suggesting that Rep is the major contributor to replication initiation in Rudiviridae. Indeed, DNA sequencing revealed Rep-dependent replication initiation from the viral genome termini, in addition to Rep-independent replication initiation from non-terminal sites. Intriguingly, the lack of Rep showed a profound effect on virus propagation in a host carrying CRISPR-Cas immunity. Accordingly, the co-infecting parental virus (rep-containing) outcompeted the {Delta}gp16 mutant much more quickly in CRISPR-containing host than in CRISPR-null host, demonstrating a selective advantage provided by Rep in the presence of host CRISPR-Cas immunity. Despite the non-essentiality, rep is carried by all known members of Rudiviridae, which is likely an evolutionary outcome driven by the ubiquitous presence of CRISPR-Cas in Sulfolobales. ImportanceCRISPR-Cas and anti-CRISPR proteins are accessary to prokaryotes and their viruses respectively. To date, research has been focused on their diversity, molecular mechanisms and application in genome editing. How CRISPR-Acr arms race influence the evolution of viral core genes involved in the basic virus life cycle remained a gap of knowledge so far. This study provides the first evidence that CRISPR-Acr arms race poses a selection pressure on the efficiency of viral genome replication, forcing viruses to evolve highly productive replication machineries..

microbiology↗