Biology subjects

Wright, C.

Publications and source records attributed to Wright, C..

At least 19 recordsLinked to original sources

bioRxiv2026

IFNγ and proinflammatory cytokines cooperatively license astrocytes to support antigen-dependent CD4+ T cell restimulation

We report that type 2 interferon with proinflammatory cytokines induces astrocytes to express multiple components required for attraction of and antigen presentation to CD4+ T cells via MHC-II molecules. Re-analysis of astrocyte-enriched single-cell sequencing from bacterial mimetic-injected mice revealed a transcriptionally distinct interferon-responsive astrocyte population enriched for antigen-presentation-associated genes 24 hours after peripheral immune challenge. In vivo, we identify MHC-II+GFAP+ astrocytes localized to the surface of the brain across multiple mouse models of neuroinflammation and in human neurological disease tissue. In a pure in vitro culture system, astrocytes stimulated with IFN{gamma} and proinflammatory cytokines express MHC-II, costimulatory molecules and lymphocyte-recruiting chemokines, and support rapid antigen-dependent expansion of previously activated CD4+ T cells. Using human iPSC-derived CNS cultures, we additionally show induction of antigen-presentation-associated machinery in human astrocytes following inflammatory cytokine stimulation. Rather than inferring function solely from marker expression, we assessed astrocyte-supported T cell restimulation in vitro and separately characterized the emergence of antigen-presentation-associated astrocytes in vivo at neuroimmune interfaces during inflammation in mice and humans. Together, these findings support a conserved role for cytokine-stimulated astrocytes in expressing antigen-presentation-associated machinery and, in vitro, supporting antigen-dependent restimulation/expansion of CD4+ T cells under inflammatory conditions.

neuroscience↗

bioRxiv2026

Transposable elements underlie chromosomal fusions and fissions in a highly species-rich group of butterflies

Chromosomal fusions and fissions reshape karyotypes, recombination landscapes and patterns of speciation, yet the molecular mechanisms underlying their formation remain poorly understood. Comparing 37 chromosome-level Erebia genomes, a butterfly genus with exceptionally high rates of chromosomal rearrangements, we identify more than 250 fusion and fission events and characterise over one hundred breakpoints. Breakpoints and homologous regions in the most closely related species with the unfused chromosomal state are significantly enriched for repetitive elements, particularly R1-like LINE retrotransposons. This provides evidence for the implication of a specific LINE family in inter-chromosomal rearrangements that promote species diversification. R1-like elements at breakpoints are longer than copies in other genomic regions, consistent with ectopic recombination requiring sufficient sequence length and similarity. However, the burst of rearrangements in the youngest and most species-rich Erebia clade does not coincide with increased R1-like activity, indicating that repeat dynamics does not solely account for the elevated rates of fusion and fission. Indeed, we detect lineage-specific gains and losses of genes involved in DNA repair and chromatin organisation that coincide with this burst, suggesting a genomic context that facilitates chromosomal fusions and fissions. Our findings refine the role of repetitive elements in inter-chromosomal rearrangements, identify a candidate substrate for ectopic recombination in Lepidoptera, and establish a framework for understanding how karyotypic diversity arises.

evolutionary biology↗

bioRxiv2026

Diploidy alters the path of fluconazole adaptation in C. glabrata

C. glabrata (syn. Nakaseomyces glabratus) is a major fungal pathogen, typically isolated as a haploid. We isolated a spontaneous diploid variant of the type strain CBS138 and performed experimental evolution under fluconazole. At physiologically relevant concentrations of fluconazole, we found that haploids and diploids both acquired PDR1 mutations, as is commonly observed in C. glabrata; diploids additionally acquired heterozygous ERG11 and ERG25 mutations and were more likely to acquire aneuploidies. Despite an ancestral fitness advantage for haploids, after [~]200 generations the highest-fitness clones, as measured in competitive assays with and without fluconazole, were diploid double heterozygotes having nonsynonymous mutations to PDR1 and ERG11 or PDR1 and ERG25. Diploid clones also had higher MICs. These results suggest, in this particular context, an evolvability advantage for diploids. In a follow-up experiment in which we rapidly increased the fluconazole concentration to a very high concentration, haploids and diploids adapted via entirely distinct routes: haploids via co-mutation in ERG3 and CgOSH3, a previously unreported path to fluconazole resistance, and diploids via heterozygous mutation in ERG25 coupled with trisomies of chrF, chrG, and chrI in all sampled clones, and chrC in most sampled clones.

evolutionary biology↗

bioRxiv2026

A high-quality telomere-to-telomere LSDV genome assembly

Lumpy skin disease virus (LSDV) is an emerging livestock capripoxvirus (CaPV) that continues to cause substantial economic losses across Africa, Asia and Europe. However, important uncertainties remain regarding LSDV genome structure, particularly at the telomeric inverted terminal repeats (ITRs) that are central to host interaction, replication and adaptive evolution. Structural variation at the ITRs is driven by recombination during virus replication. Previous assemblies have relied primarily on short-read sequencing, which provides limited resolution of repeat-rich telomeric regions and propagates structural ambiguities into downstream annotation and comparative analyses. Here, we present a high-quality telomere-to-telomere (T2T) assembly of the LSDV Oman 2009 isolate, generated using a hybrid approach that integrates short Illumina reads with higher-accuracy long Nanopore reads. The resulting 151,091 bp genome contains 157 annotated open reading frames and fully resolves complex repeat-rich structures at both ITRs. This new reference corrects misassemblies present in earlier LSDV genomes and confirms clade-specific gene truncations. This genome provides a robust foundation for improved genomic surveillance, accurate read mapping, mutation detection and evolutionary inference of LSDV, and demonstrates the value of long-read approaches for resolving complex CaPV genome structures.

genomics↗

bioRxiv2026

Genetic architecture of miRNA expression in human brain and its contribution to brain disorders

MicroRNAs (miRNAs) regulate nearly all protein-coding genes and play critical roles in gene regulation, yet the mechanisms governing miRNA regulation remain poorly understood. Here, we examined the genetic architecture of miRNA expression in 995 human brain tissues spanning four regions and two ancestries (African and European) from neurotypical controls and individuals with three psychiatric disorders (schizophrenia, major depressive disorder, and bipolar disorder). We found that miRNA expression is highly dynamic across brain regions, with region-specific differences exceeding those attributable to ancestry or psychiatric diagnosis. Through miRNA expression quantitative trait loci (miR-eQTL) analyses, we identified genetic variants associated with miRNA expression in a region- and ancestry-dependent manner. Overall, miRNAs exhibited heritability levels comparable to protein-coding genes and were positively co-regulated with their host transcripts. Notably, miRNA-regulating genetic variants were enriched in enhancers active in oligodendrocytes and in binding sites of the transcription factor OLIG2, suggesting miRNA-mediated gene regulation in oligodendrocyte lineage. Finally, we identified 15 miRNAs as likely causative factors for psychiatric and neurodegenerative disorders such as major depressive disorder and Alzheimers disease. Together, our results reveal the genetic underpinnings of miRNA regulation in the human brain and suggest that miRNAs serve as key intermediaries linking genetic variation to complex neuropsychiatric and neurological phenotypes.

genomics↗

bioRxiv2025

Modulating splicing in five prime untranslated regions to treat rare haploinsufficient disease

Rare genetic disorders collectively impact over 300 million people worldwide, yet around 95% have no specific treatments. For the many rare disorders caused by haploinsufficiency, effective therapies need to upregulate protein expression. However, therapeutic upregulation is often not straightforward. Increasing protein translation of the wildtype allele through inhibiting repressive upstream open reading frames (uORFs) has been proposed as a therapeutic approach for a few specific genes. The widespread success of steric-block antisense oligonucleotides (ASOs) for this purpose is, however, debated. Here, we explore an alternative approach, using splice-switching to exclude uORF-containing exons from the mRNA. Through a genome-wide computational screening approach, we identified 79 uORF-containing 5UTR exons in haploinsufficient monogenic disease genes as candidate exon skipping targets. We demonstrate that removing the target exon significantly increased protein translation (between 1.4-5.5 fold) in a luciferase reporter assay for four of six prioritised target 5UTR exons in neurodevelopmental disorder genes (CTCF, GRIN2B, KRIT1, and TSC1). Overall, this work supports the widespread application of 5UTR exon skipping to boost translation of clinically relevant haploinsufficient genes.

genomics↗

bioRxiv2025

Using pangenome variation graphs to improve mutation detection in a large DNA virus

Accurately quantifying viral genetic diversity is essential for understanding pathogen evolution, transmission, and emergence. However, standard approaches that map sequencing reads to a single linear reference genome introduce substantial reference bias, particularly for samples that are divergent, recombinant, or belong to rare lineages. Pangenome variation graphs (PVGs) mitigate this issue by representing multiple genomes within a unified graph structure, enabling read mapping across all observed and potential haplotypes. Despite this, PVGs have rarely been applied to viruses. Here, we address this gap by constructing and evaluating the first PVG for lumpy skin disease virus (LSDV), an emerging poxvirus of global importance. We generated PVGs of different sizes and mapped Illumina datasets using Giraffe, benchmarking performance against linear reference mapping with Minimap2. A minimal three-sample PVG containing one representative from each major lineage recovered 97% of known LSDV nucleotide diversity while reducing PVG size by >95% relative to a 121-sample PVG. PVG-based mapping detected more SNPs than linear mapping, including variants supported by read evidence that was not detected when reads were mapped to a single reference genome. 27% of SNPs detected using PVG-based mapping could not be projected onto the linear reference coordinate system because they were on alternative paths absent from reference, highlighting the impacts of reference bias. Notably, these new SNPs were at genes involved in host recognition and immune evasion, and identified lineage-specific mutations that improved subclade phylogenetic structure. Our findings demonstrate that PVGs substantially enhance SNP discovery in LSDV, with direct implications for genomic surveillance, outbreak tracing, and the detection of recombinant vaccine-related lineages in LSDV and other large DNA viruses. Impact StatementGenomic surveillance of viral pathogens typically relies on mapping reads to a single reference genome, a practice that systematically misses variation in divergent or recombinant isolates. We show that pangenome variation graphs (PVGs) can reduce this limitation in DNA viruses. Using lumpy skin disease virus (LSDV) as a model system, we demonstrate that a compact PVG constructed from only three representative genomes captures most known genomic diversity and improves the detection of mutations that are difficult to identify using linear reference mapping. PVGs recover biologically meaningful variants at genes involved in immune evasion and host interaction, resolve closely related subclades, and reveal mutations that cannot be identified using a single reference genome. This work uses a population-structure-guided strategy for building reference viral PVGs that balance computational efficiency with sensitivity, offering clear benefits for genomic surveillance, outbreak reconstruction, and the detection of recombinant lineages. Data SummaryAll supporting code and protocols have been provided within the article or through supplementary data files. Supplementary tables are available at Figshare: https://figshare.com/s/7a879df5b5452d04585b with all code at https://github.com/downingtim/LSDV_pangenomics

genomics↗

bioRxiv2025

Whole-genome sequencing analysis of anthropometric traits in 672,976 individuals reveals convergence between rare and common genetic associations

Genetic association studies have mostly focussed on common variants from genotyping arrays or rare protein-coding variants from exome sequencing. Here, we used whole-genome sequence (WGS) data in 672,976 individuals of diverse ancestry to evaluate the contribution and architecture of rare non-coding variants to three commonly studied anthropometric traits: height, body mass index (BMI) and waist-hip ratio adjusted for BMI (WHRadjBMI). Analysing 447,461 individuals in UK Biobank for discovery and 225,515 individuals in All of Us for replication, we identified 90 novel rare and low-frequency single variant associations. This includes two independent rare variants upstream of IGF2BP2 that both substantially reduce WHRadjBMI, but have distinct effects on other adiposity traits. We identified 135 coding variant aggregates, several of which were missed by exome sequencing studies. For example, UBR3 protein-truncating variants were associated with a 2.7kg/m2 increase in BMI. We additionally identified 51 non-coding variant aggregate associations, including in the 5UTR of FGF18 (a highly constrained gene with no previously reported coding associations) associated with up to 6cm effects on height. We show that 97% of rare variant associations occur near GWAS loci demonstrating convergence of rare and common variant associations. Finally, we show that ultra rare variants (MAF<0.01%) explain a small fraction of heritability (<10%) compared to common variants for these traits, that heritability is largely shared across ancestries, and that this heritability is concentrated at or near common variant loci. Our work demonstrates the importance of large-scale WGS for fully understanding the genetic architecture of complex traits.

genetics↗

bioRxiv2024

Generation of morphologically distinct astrocyte subtypes from human iPSCs reveals a link between glial shape, function and reactivity

Astrocyte morphology in vivo is heterogeneous across different subtypes and dynamically changes in response to various stimuli. However, several questions on the mechanistic links between shape and function remain unanswered. Here, we developed an efficient protocol to generate pure populations of morphologically distinct human astrocytes in vitro, which we used for a systematic analysis of shape-function relationships. We performed a structural, molecular, and functional characterization of these populations and highlighted how their distinct morphologies mirror distinct functional and transcriptional patterns at the population level. We were also able to both correlate gene expression profiles of these morphologically distinct astrocyte subtypes with in vivo astrocytes in the human brain, and to validate our findings with primary isolated murine astrocytes in vitro. Moreover, we show that the observed morphological differences are correlated with changes in key cytoskeletal proteins, which offers a potential link to the observed functional differences. Finally, we demonstrated that different morphological subtypes of astrocytes have distinct reactivity responses to a common stimulus. This study offers a glimpse into the shape-function dynamics of human astrocytes, highlighting potential mechanistic links between cytoskeletal usage and astrocyte function, while also providing tools and datasets that will be useful for further studies into human glial biology in health and disease.

neuroscience↗

bioRxiv2024

An atlas of expressed transcripts in the prenatal and postnatal human cortex

Alternative splicing is a post-transcriptional mechanism that increases the diversity of expressed transcripts and plays an important role in regulating gene expression in the developing central nervous system. We used long-read transcriptome sequencing to characterise the structure and abundance of full-length transcripts in the human cortex from donors aged 6 weeks post-conception to 83 years old. We identified thousands of novel transcripts, with dramatic differences in the diversity of expressed transcripts between prenatal and postnatal cortex. A large proportion of these previously uncharacterised transcripts have high coding potential, with corresponding peptides detected in proteomic data. Novel putative coding sequences are highly conserved and overlap de novo mutations in genes linked with neurodevelopmental disorders in individuals with relevant clinical phenotypes. Our findings underscore the potential of novel coding sequences to harbor clinically relevant variants, offering new insights into the genetic architecture of human disease. Our cortical transcript annotations are available as a resource to the research community via an online database.

genomics↗

bioRxiv2024

A novel functional gene delivery platform based on a commensal human anellovirus demonstrates transduction in multiple tissue types

Anelloviridae is a family of non-enveloped viruses with negative-sense, circular, single-stranded deoxyribonucleic acid (ssDNA) genomes that infect vertebrates and are a ubiquitous component of the human virome. Human anelloviruses evade induction of humoral immune responses and appear to be non-pathogenic. These properties, in conjunction with their enormous genomic diversity and wide tissue distribution, make anelloviruses compelling candidates as vectors for next-generation genetic medicines. Here we report the first gene delivery vector system based on a human commensal virus. This Anellovector is based on a virus of the Betatorquevirus genus. Production is enabled by the development of the Self-Amplifying Trans-complementation of a Universal Recombinant aNellovector (SATURN) system, which relies on a self-replicating plasmid to provide viral proteins in trans that drive replication and capsid-dependent packaging of vector genomes. The SATURN system also utilizes a Cre-lox-based recombination mechanism to generate single unit-sized circular genomes inside the MOLT-4 production cell line. We demonstrate that the SATURN system can package a vector genome from a single betatorquevirus with capsids from multiple betatorquevirus species, supporting the feasibility of establishing a novel vector platform that takes advantage of the remarkable diversity of anelloviruses. The Anellovector demonstrated function in vitro in retinal pigment epithelial (RPE) cells. The Anellovector also demonstrated durable in vivo function in the mouse eye for 9 months after subretinal administration, and achieved comparable gene expression to dose-matched adeno-associated virus 9 (AAV9) when transduced by the intracerebroventricular (ICV) route of administration. To our knowledge, this is the first report of a functional anellovirus-based gene therapy vector. Anellovectors have great potential to deliver safe, redosable, and potent therapeutics, helping to expand the reach of programmable medicines.

bioengineering↗

bioRxiv2023

Identification of potential Auxin Response Candidate genes for soybean rapid canopy coverage through comparative evolution and expression analysis

Glycine max, soybean, is an abundantly cultivated crop worldwide. Efforts have been made over the past decades to improve soybean production in traditional and organic agriculture, driven by growing demand for soybean-based products. Rapid canopy cover development (RCC) increases soybean yields and suppresses early-season weeds. Genome-wide association studies have found natural variants associated with RCC, however causal mechanisms are unclear. Auxin modulates plant growth and development and has been implicated in RCC traits. Therefore, modulation of auxin regulatory genes may enhance RCC. Here, we focus on the use of genomic tools and existing datasets to identify auxin signaling pathway RCC candidate genes, using a comparative phylogenetics and expression analysis approach. We identified genes encoding 14 TIR1/AFB auxin receptors, 61 Aux/IAA auxin co-receptors and transcriptional co-repressors, and 55 ARF auxin response factors in the soybean genome. We used Bayesian phylogenetic inference to identify soybean orthologs of Arabidopsis thaliana genes, and defined an ortholog naming system for these genes. To further define potential auxin signaling candidate genes for RCC, we examined tissue-level expression of these genes in existing datasets and identified highly expressed auxin signaling genes in apical tissues early in development. We identified at least 4 TIR1/AFB, 8 Aux/IAA, and 8 ARF genes with highly specific expression in one or more RCC-associated tissues. We hypothesize that modulating the function of these genes through gene editing or traditional breeding will have the highest likelihood of affecting RCC while minimizing pleiotropic effects.

bioinformatics↗

bioRxiv2022

More than Mycobacterium tuberculosis: specific site-of-disease microbial communities, functional capacities, and their distinct clinical profiles in tuberculous lymphadenitis

BackgroundLymphadenitis is the most common extrapulmonary tuberculosis (EPTB) manifestation and a major cause of death. The microbiome is important to human health but uninvestigated in EPTB. We profiled the site-of-disease lymph node microbiome in tuberculosis lymphadenitis (TBL). MethodsFine needle aspiration biopsies (FNABs) were collected from 159 pre-treatment presumptive TBL patients in Cape Town, South Africa. 16S Illumina MiSeq rRNA gene sequencing was done. ResultsWe analysed 89 definite TBLs (dTBLs) and 61 non-TBLs (nTBLs), which had similar -but different {beta}-diversities (p=0.001). Clustering identified five lymphotypes prior to TB status stratification: Mycobacterium-, Prevotella- and Streptococcus-dominant lymphotypes were more frequent in dTBLs whereas a Corynebacterium-dominantlymphotype and a fifth lymphotype (no dominant taxon) were more frequent in nTBLs. When restricted to dTBLs, clustering identified a Mycobacterium-dominant lymphotype with low -diversity and other non-Mycobacterium-dominated lymphotypes (termed Prevotella-Corynebacterium and Prevotella-Streptococcus). The Mycobacterium dTBL lymphotype was associated with HIV-positivity and clinical features characteristic of severe lymphadenitis (e.g., node size). dTBL microbial communities were enriched with potentially proinflammatory microbial short chain fatty acid metabolic pathways (propanoate, butanoate) vs. those in nTBLs. 11% (7/61) of nTBLs had Mycobacterium reads. ConclusionsTBL at the site-of-disease is not microbially homogenous and distinct microbial community clusters exist that are associated with different immunomodulatory potentials and clinical characteristics. Non-Mycobacterium-dominated dTBL lymphotypes, which contain taxa potentially targeted by TB treatment, represent less severe potentially earlier stage disease. These investigations lay foundations for studying the microbiomes role in lymphatic TB and the long-term clinical significance of lymphotypes requires prospective evaluation.

molecular biology↗

bioRxiv2021

Whole-genomes from the extinct Xerces Blue butterfly reveal low diversity and long-term population decline

The Xerces Blue (Glaucopsyche xerces) is considered to be the first butterfly to become extinct at global scale in historical times. It was notable for its chalky lavender wings with conspicuous white spots on the ventral wings. The last individuals were collected in their restricted habitat, in the dunes near the Presidio military base in San Francisco, in 1941. We sequenced the genomes of four 80 to 100-year-old Xerces Blue, and seven historical and one modern specimens of its closest relative, the Silvery Blue (G. lygdamus). We compared these to a novel annotated genome of the Green-Underside Blue (G. alexis). Phylogenetic relationships inferred from complete mitochondrial genomes indicate that Xerces Blue was a distinct species that diverged from the Silvery Blue lineage at least 850,000 years ago. Using nuclear genomes, both species experienced population growth during the Eemian interglacial period, but the Xerces Blue decreased to a very low effective population size subsequently, a trend opposite to that observed in the Silvery Blue. Runs of homozygosity and deleterious load in the Xerces Blue were significantly greater than in the Silvery Blue, suggesting a higher incidence of inbreeding. These signals of population decline observed in Xerces Blue could be used to identify and monitor other insects threatened by human activities, whose extinction patterns are still not well known.

evolutionary biology↗

bioRxiv2021

Modular, robust and extendible multicellular circuit design in yeast

Division of labor between cells is ubiquitous in biology but the use of multi-cellular consortia for engineering applications is only beginning to be explored. A significant advantage of multi-cellular circuits is their potential to be modular with respect to composition but this claim has not yet been extensively tested using experiments and quantitative modeling. Here, we construct a library of 24 yeast strains capable of sending, receiving or responding to three molecular signals, characterize them experimentally and build quantitative models of their input-output relationships. We then compose these strains into two- and three-strain cascades as well a four-strain bistable switch and show that experimentally measured consortia dynamics can be predicted from the models of the constituent parts. To further explore the achievable range of behaviors, we perform a fully automated computational search over all two-, three- and four-strain consortia to identify combinations that realize target behaviors including logic gates, band-pass filters and time pulses. Strain combinations that are predicted to map onto a target behavior are further computationally optimized and then experimentally tested. Experiments closely track computational predictions. The high reliability of these model descriptions further strengthens the feasibility and highlights the potential for distributed computing in synthetic biology.

synthetic biology↗

bioRxiv2021

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates.

Tuberculosis is a respiratory disease that is treatable with antibiotics. An increasing prevalence of resistance means that to ensure a good treatment outcome it is desirable to test the susceptibility of each infection to different antibiotics. Conventionally this is done by culturing a clinical sample and then exposing aliquots to a panel of antibiotics, thereby determining the minimum inhibitory concentration (MIC) of each drug. Using 96-well broth micro dilution plates with each well containing a lyophilised pre-determined amount of an antibiotic is a convenient and cost-effective way to measure the MICs of several drugs at once for a clinical sample. Although accurate, this is an expensive and slow process that requires highly-skilled and experienced laboratory scientists. Here we show that, through the BashTheBug project hosted on the Zooniverse citizen science platform, a crowd of volunteers can reproducibly and accurately determine the MICs for 13 drugs and that simply taking the median or mode of 11-17 independent classifications is sufficient. There is therefore a potential role for crowds to support (but not supplant) the role of experts in antibiotic susceptibility testing.

microbiology↗

bioRxiv2021

The chemotherapeutic CX-5461 primarily targets TOP2B and exhibits selective activity in high-risk neuroblastoma.

Survival in high-risk pediatric neuroblastoma has remained around 50% for the last 20 years, with immunotherapies and targeted therapies having had minimal impact. Here, we identify the small molecule CX-5461 as selectively cytotoxic to high-risk neuroblastoma and synergistic with low picomolar concentrations of topoisomerase I inhibitors improving survival in vivo in orthotopic patient-derived xenograft neuroblastoma mouse models. CX-5461 recently progressed through phase I clinical trial as a first-in-human inhibitor of RNA-POL I. However, we also use a comprehensive panel of in vitro and in vivo assays to demonstrate that CX-5461 has been mischaracterized and that its primary target at pharmacologically relevant concentrations, is in fact topoisomerase II beta (TOP2B), not RNA-POL I. These findings are important because existing clinically approved chemotherapeutics have well-documented off-target interactions with TOP2B, which have previously been shown to cause both therapy-induced leukemia and cardiotoxicity--often-fatal adverse events, which can emerge several years after treatment. Thus, while we show that combination therapies involving CX-5461 have promising anti-tumor activity in vivo in neuroblastoma, our identification of TOP2B as the primary target of CX-5461 indicates unexpected safety concerns that should be examined in ongoing phase II clinical trials in adult patients before pursuing clinical studies in children.

cancer biology↗

bioRxiv2021

Modified E. coli strains enhance baculovirus production by elimination of aberrant transposition events

Baculovirus technology has been the most commonly used expression system for insect cells both due to its potential to generate a large amount of recombinant protein as well as the benefit of post-translational modifications. The most commonly used system to generate recombinant baculoviruses is the Tn7 transposition-based technology known as Bac-to-Bac. Although improvements have been made to this system to further improve quality and reproducibility of baculovirus production, recent data suggests that improved strains still have potential issues with contamination of non-recombinant baculovirus caused by improper transposition into a Tn7 site in the E. coli chromosome. Here we describe a new option for alteration of the E. coli genome to completely block the native Tn7 attachment site, leading to far fewer false positive bacmid colonies being selected and eliminating all risk of non-recombinant baculovirus production.

molecular biology↗