Biology subjects

Williams, K. P.

Publications and source records attributed to Williams, K. P..

12 recordsLinked to original sources

bioRxiv2026

Temperature-Switchable Genome Editors from Extremophile-Derived Integrases

Integrases are site-specific recombinases encoded by phages and other mobile genetic elements. They mediate DNA integration, excision, and inversion between cognate attachment (att) sites. Although integrases are powerful tools for genetic engineering and synthetic biology, most systems lack intrinsic mechanisms that limit activity after expression, creating potential for unintended recombination. We hypothesized that extremophiles could provide temperature-responsive integrases because their enzymes evolved under selective pressure to operate within the thermal ranges experienced by their hosts. To test this concept, we linked integrase-att pairs from 458,683 prokaryotic genome assemblies to curated host growth-temperature metadata. This analysis revealed temperature-associated structure among integrase clusters and established a candidate pool for testing temperature-responsive recombinases. GC content in tyrosine integrase-associated attB sites showed a modest increase in higher-temperature hosts. We developed an inversion assay using a single-copy reporter plasmid and sacB counterselection to quantify integrase activity across temperatures. Thermophile derived integrases from Thermus thermophilus and Geobacillus stearothermophilus displayed hot-ON/cold-OFF activity profiles, whereas an integrase derived from the psychrotroph Pseudomonas cerasi showed cold-ON/hot-OFF activity. Together, these results establish host thermal niche as a guide for discovering intrinsically temperature switchable integrases and provide a foundation for engineering thermally controlled genome editing systems.

molecular biology↗

bioRxiv2026

Mobile genetic elements are active and responsive to community context in model microbial consortium

Insertion and excision of genomic islands (GIs), chromosomally-integrated mobile genetic elements (MGEs), are major sources of microbial genome plasticity and can impact gene expression and phenotype of the host organism. GI mobilization also influences microbial communities beyond the host organism as GI excision generates MGEs that can be transferred between community members through horizontal gene transfer and induction of prophages can kill host populations, which impacts community structure. Established computational methods now enable precise GI mapping in genomes, as well as highly sensitive detection of GI excision from deep-genome sequencing data. We applied these approaches to metagenomic datasets from a defined soil microbial consortium grown on glass beads under hydration stress and compared GI activity with that observed in monoculture. Under these environmentally structured community growth conditions, GI excision was more abundant and involved a broader range of host species and GI types than under isolate growth conditions. Combined analysis with metatranscriptomic and metaproteomic data identified patterns of GI gene expression associated with induction. Three GIs showed particularly high excision together with strong transcription, numerous detected proteins, and evidence of association with potential transfer particles, including phages or vesicles. These results indicate that isolate studies can miss a substantial environmentally responsive layer of GI activity. More broadly, this work establishes a framework for mining existing community multi-omic datasets to quantify dynamic genome restructuring, identify active but poorly understood GIs, and generate mechanistic hypotheses about the processes that shape microbial genome plasticity and gene flow.

microbiology↗

bioRxiv2025

Integrase-On-Demand: Bioprospecting integrases for targeted genomic insertion of genetic cargo

Integrases recognize defined sites within DNA and facilitate homologous recombination-independent transfer of genetic fragments. These innate capabilities render integrases as powerful biotechnology tools that mediate efficient site-specific integration of large genetic cargos. Given that genomes often lack the integration sites recognized by frequently utilized integrases, integrase technology has largely been restricted to genetic engineering of model organisms into which attB sites can be synthetically introduced. To enable single-step site-specific integrase-mediated genome editing in a broad spectrum of prokaryotes, we have devised the Integrase-On-Demand (IOD) method. IOD systematically identifies integrases, from bacteria and archaea, that can integrate into available attB sites in any target prokaryote. Computational results show that diverse bacteria generally have multiple potentially useable native attB/integrase pairs. We confirmed the functionality of predicted integrase and attB pairs for mediating site-specific genomic integration of heterologous DNA into the genomes of Pseudomonas putida S12 and KT2440 and Synechococcus elongatus UTEX 2973 and measured efficiency of integration using suicide constructs. By eliminating the requirement to introduce non-native attB sites into the target genome, IOD may, when suitable transformation methods exist, allow facile genome integration of large constructs in non-model and possibly non-culturable bacteria. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/676606v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@1442a69org.highwire.dtl.DTLVardef@3c91b1org.highwire.dtl.DTLVardef@8131f4org.highwire.dtl.DTLVardef@1f6a206_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2024

Niche exclusion of a lung pathogen in mice with designed probiotic communities

For years, the airway microbiota have been theorized to be gatekeepers of respiratory health, as pathogens entering the airway make contact with resident microbes prior to or coincident with their interaction with host cells. Thus, modification of the native airway community may serve as a means of altering the local environment in favor of health. In this work, we hypothesize that synthetic bacterial communities introduced into the airway can serve as prophylactic countermeasures against infection by Burkholderia thailandensis in mice. We demonstrate that understanding of antagonistic interactions between a pathogen and airway microbiota in vitro can guide identification of probiotics with protective capabilities in vivo. Specifically, we show that niche overlap between the probiotic and pathogen is indicative of probiotic performance in vivo. This work serves as a foundation for the rational design of probiotic communities for protection against and treatment of respiratory infections.

microbiology↗

bioRxiv2023

Computing Multiple Sequence Alignments given a Constraint Subset Alignment using EMMA

BackgroundAdding sequences into an existing (possibly user-provided) alignment has multiple applications, including updating a large alignment with new data, adding sequences into a constraint alignment constructed using biological knowledge, or computing alignments in the presence of sequence length heterogeneity. Although this is a natural problem, only a few tools have been developed to use this information with high fidelity. ResultsWe present EMMA (Extending Multiple alignments using MAFFT-add) for the problem of adding a set of unaligned sequences into a multiple sequence alignment (i.e., a constraint alignment). EMMA builds on MAFFT-add, which is also designed to add sequences into a given constraint alignment. EMMA improves on MAFFT--add methods by using a divide-and-conquer framework to scale its most accurate version, MAFFT-linsi--add, to constraint alignments with many sequences. We show that EMMA has an accuracy advantage over other techniques for adding sequences into alignments under many realistic conditions and can scale to large datasets with high accuracy (hundreds of thousands of sequences). EMMA is available at https://github.com/c5shen/EMMA. ConclusionsEMMA is a new tool that provides high accuracy and scalability for adding sequences into an existing alignment.

bioinformatics↗

bioRxiv2022

Small Molecule Screen Identifies Pyrimethamine as an Inhibitor of NRF2-driven Esophageal Hyperplasia

ObjectiveNRF2 is a master transcription factor that regulates the stress response. NRF2 is frequently mutated and activated in human esophageal squamous cell carcinoma (ESCC), which drives resistance to chemotherapy and radiation therapy. Therefore, a great need exists for NRF2 inhibitors for targeted therapy of NRF2high ESCC. DesignWe performed high-throughput screening of two compound libraries from which hit compounds were further validated in human ESCC cells and a genetically modified mouse model. The mechanism of action of one compound was explored by biochemical assays. ResultsUsing high-throughput screening of two small molecule compound libraries, we identified 11 hit compounds as potential NRF2 inhibitors with minimal cytotoxicity at specified concentrations. We then validated two of these compounds, pyrimethamine and mitoxantrone, by demonstrating their dose- and time-dependent inhibitory effects on the expression of NRF2 and its target genes in two NRF2Mut human ESCC cells (KYSE70 and KYSE180). RNAseq and qPCR confirmed the suppression of global NRF2 signaling by these two compounds. Mechanistically, pyrimethamine reduced NRF2 half-life by promoting NRF2 ubiquitination and degradation in KYSE70 and KYSE180 cells. Expression of an Nrf2E79Q allele in mouse esophageal epithelium (Sox2CreER;LSL-Nrf2E79Q/+) resulted in an NRF2high phenotype, which included squamous hyperplasia, hyperkeratinization, and hyperactive glycolysis. Treatment with pyrimethamine (30mg/kg/day, p.o.) suppressed the NRF2high esophageal phenotype with no observed toxicity. ConclusionWe have identified and validated pyrimethamine as an NRF2 inhibitor that may be rapidly tested in the clinic as a radiation and chemotherapy sensitizer for NRF2high ESCC. SummaryO_ST_ABSWhat is already known on this topic - summarise the state of scientific knowledge on this subject before you did your study and why this study needed to be doneC_ST_ABSO_LIMutational activation of the NRF2 transcription factor drives ESCC progression and therapeutic resistance. Targeted therapies to block NRF2 have not yet been realized, despite great needs. C_LI What this study adds - summarise what we now know as a result of this study that we did not know beforeO_LIA screen of >35,000 small molecules identified eleven potential NRF2 inhibitors. Pyrimethamine and mitoxantrone were validated to inhibit the expression of NRF2 and NQO1 in human ESCC cells in both dose- and time-dependent manners. C_LIO_LIPyrimethamine enhanced NRF2 protein ubiquitination and degradation, resulting a decreased half-life. C_LIO_LIA genetically modified mouse model was established to express the Nrf2E79Q mutant allele in the mouse esophageal epithelium upon tamoxifen induction. Pyrimethamine suppressed the NRF2high esophageal phenotype induced by the mutant allele. C_LI How this study might affect research, practice or policy - summarise the implications of this studyO_LIAs an FDA-approved drug, Pyrimethamine has the potential for immediate translation to a clinical trial on NRF2high ESCC in humans. C_LIO_LIFurther exploration of its mechanisms of action may lead to more potent NRF2 inhibitors for future use. C_LI

cancer biology↗

bioRxiv2022

An integrase clade that repeatedly targets prophage late genes, yielding helper-embedded satellites

Satellites are mobile genetic elements that rely on helper phages for their mobilization. The many known satellite-helper interactions are trans-regulatory, with gene products from one partner modulating the nucleic acid or protein activities of the other. We discovered a satellite type with a more intimate cis-regulatory configuration: integrated within, and co-oriented with, a late gene of its lambdoid helper prophage. This helper-embedded satellite (HES) configuration would delay expression of the interrupted helper late gene until the satellite excises; it also offers potential passive components to both HES replication and late transcription, driven by the helper. Induction of a helper-satellite composite was monitored; precise excision of the entire composite was observed, followed by its replication, and the excision of the satellite from it. We mapped 491 HESs to one of 14 sites in cognates of phage lambda late genes A, B, C, E, V, T, H, L and J. The associated integrases form a single phylogenetic clade with subclades respecting the 14 site groups, while the attP attachment site regions contained a new doubled DNA sequence motif. This clade thus exhibits a repeated tropism for prophage late genes as it develops new integration sites. HESs bear close genomic similarities to gram-negative phage-induced chromosomal islands (PICIs, of which we found many more integrated into fis and hpt genes). We describe four ordered zones in a general HES/PICI genome organization: an integration zone encoding integrase and AlpA, a Bro zone encoding members of the Bro-N network of domain-swapping DNA-interactive proteins and immunity repressor RNAs, a replication zone, and a late zone in which clusters as large as 18 consecutive helper late genes have been captured. Like the late zone, the Bro zone is dynamic, perhaps due to activity of the Bro proteins themselves.

bioinformatics↗

bioRxiv2022

Method Comparison for Japanese Encephalitis Virus Detection in Samples Collected from the Indo-Pacific Region

IntroductionJapanese encephalitis virus (JEV) is a mosquito-borne viral pathogen, which is becoming a growing public health concern throughout the Indo-Pacific. Five genotypes of JEV have been identified. Current vaccines are based on genotype III and provide a high degree of protection for 4 of the 5 known genotypes. MethodsRT-PCR, Magpix, Twist Biosciences Comprehensive Viral Research Panel (CVRP), and SISPA methods were used to detect JEV from mosquito samples collected in South Korea during 2021. These methods were compared to determine which method would be most effective for biosurveillance in the Indo-Pacific region. ResultsOur data showed that RT-PCR, Twist CVRP, and SISPA methods were all able to detect JEV genotype I, however, the proprietary Magpix panel was only able to detect JEV genotype III. Use of minION sequencing for pathogen detection in arthropod samples will require further method development. ConclusionBiosurveillance of vectorborne pathogens remains an area of concern throughout the Indo-Pacific. RT-PCR was the most cost effective method used in the study, but TWIST CVRP allows for the identification of over 3,100 viral genomes. Further research and comparisons will be conducted to ensure optimal methods are used for large scale biosurveillance.

molecular biology↗

bioRxiv2020

Precise mapping of new group I introns in tRNA genes

Bacterial tRNA have been found interrupted at various positions in the anticodon loop by group I introns, in four types. The primary bioinformatic tool for group I intron discovery is a covariance model that can identify conserved features in the catalytic core and can sometimes identify the typical uridine residue at the -1 position, preceding the 5-prime splice site, but cannot identify the typical guanidine residue at the omega position, preceding the 3-prime splice site, to achieve precise mapping. One approach to complete the automation of group I intron mapping is to focus instead on the exons, which is enabled by the regularity of tRNAs. We develop a software module, within a larger package (tFind) aimed at mapping bacterial tRNA and tmRNA genes precisely, that expands this list of four known classes of intron-interrupted tRNAs to 21 cases. A new covariance model for these introns is presented. The wobble base pair formed by the -1 uridine is considered a determinant of the 5-prime splice site, yet one reasonably large new type bears a cytidine nucleotide at that position.

genomics↗

bioRxiv2020

Computational front end to diverse therapeutic phage cocktails

New therapies are necessary to combat increasingly antibiotic-resistant bacterial pathogens. We have developed a technology platform of computational, molecular biology, and microbiology tools which together enable on-demand production of phages that target virtually any given bacterial isolate. Two complementary computational tools that identify and precisely map prophages and other integrative genetic elements (IGEs) in bacterial genomes are used to identify prophage-laden bacteria that are close relatives of the target strain. Phage genomes are engineered to disable lysogeny, through use of long amplicon PCR and Gibson assembly. Finally, the engineered phage genomes are introduced into host bacteria for phage production. As an initial demonstration, we used this approach to produce a phage cocktail against the opportunistic pathogen Pseudomonas aeruginosa PAO1. Two prophage-laden P. aeruginosa strains closely related to PAO1 were identified, ATCC 39324 and ATCC 27853. Deep sequencing revealed that mitomycin C treatment of these strains induced seven phages that grow on P. aeruginosa PAO1. The most diverse five of these were engineered for non-lysogeny by deleting the integrase gene (int), which is readily identifiable and typically conveniently located at one end of the prophage. The {Delta}int phages, individually and in cocktails, showed killing of P. aeruginosa PAO1 in vitro as well as in a waxworm (Galleria mellonella) model of infection. SIGNIFICANCE STATEMENTThe antibiotic-resistance crisis in medicine and agriculture has led to renewed interest in phage therapy as an alternative means of treating infection. However, conventional methods for isolating pathogen-specific phage are slow, labor-intensive, and frequently unsuccessful. We have demonstrated that prophages carried by near-neighbor bacteria can serve as starting material for production of engineered phages that kill the target pathogen. Our approach and technology platform offer new opportunity for rapid development of phage therapies against most, if not all, bacterial pathogens, a foundational advance for use of phage in treating infectious disease.

microbiology↗

bioRxiv2020

New candidates for regulated gene integrity revealed through precise mapping of integrative genetic elements

Integrative genetic elements (IGEs) are mobile multigene DNA units that integrate into and excise from host bacterial chromosomes. Each IGE usually targets a specific site within a conserved host gene, integrating in a manner that preserves target gene function. However, a small number of bacterial genes are known to be inactivated upon IGE integration and reactivated upon excision, regulating phenotypes of virulence, mutation rate, and terminal differentiation in multicellular bacteria. The list of regulated gene integrity (RGI) cases has been slow-growing because IGEs have been challenging to precisely and comprehensively locate in genomes. We present software (TIGER) that maps IGEs with unprecedented precision and without attB site bias. TIGER uses a comparative genomic, ping-pong BLAST approach, based on the principle that the IGE integration module (i.e., its int-attP region) is cohesive. The resultant IGEs, along with integrase phylogenetic analysis and gene inactivation tests, revealed 19 new cases of genes whose integrity is regulated by IGEs (including dut, eccCa1, gntT, hrpB, merA, ompN, prkA, tqsA, traG, yifB, yfaT and ynfE), as well as recovering previously known cases (in sigK, spsM, comK, mlrA, and hlb genes). It also recovered known clades of site-promiscuous integrases and identified possible new ones.

bioinformatics↗

bioRxiv2020

Genome Sequences of Burkholderia thailandensis strains E421, E426, and DW503

We present the draft genome sequences of three Burkholderia thailandensis strains: E421, E426, and DW503. E421 consists of 90 contigs of 6,639,935bp and 67.73% GC content. E426 consists of 106 contigs of 6,587,853bp and 67.73% GC content. DW503 consists of 102 contigs of 6,458,767bp and 67.64% GC content.

genomics↗