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Biology subjects

Charles, T. C.

Publications and source records attributed to Charles, T. C..

10 recordsLinked to original sources

A Genome Sequence Variant Monitoring Program for Seasonal Influenza A H3N2 and Respiratory Syncytial Virus A using Wastewater-Based Surveillance in Ontario, Canada

Seasonal respiratory viruses, such as the Influenza A virus and the respiratory syncytial virus, are responsible for over a billion infections worldwide each year resulting in a substantial burden on health care systems. Surveillance of these viruses, including their prevalence in communities and their evolution, are essential for informing public health decisions and recommending vaccine formulations and schedules. Typically, these viruses are monitored using clinical samples from patients seeking medical attention. Recently, wastewater-based surveillance (WBS) has been leveraged to understand transmission dynamics and genome evolution of SARS-CoV-2 and seasonal respiratory viruses. To further the utility of WBS we developed and implemented novel tiled-amplicon sequencing assays to identify and track Influenza A virus H3N2 and respiratory syncytial virus A circulating in Southern Ontario, Canada. We also developed virus specific deconvolution tools to estimate the abundance of mixed lineages in wastewater. These assays were able to accurately determine which lineages were circulating in wastewater with high sensitivity and specificity. If implemented in regular surveillance programs, they could be used to inform real-time public health decisions and determine potential disease surge with impact on emergency room visits and hospitalization, as well as track which emerging strains will become predominant in the future and determine which strains should be the focus of seasonal vaccines.

genomics↗

Hybrid sequencing reveals the genome of a Chrysochromulina parva virus and highlight its distinct replication strategy

Chrysochromulina parva (C. parva) is a eukaryotic freshwater haptophyte algae found in lakes and rivers worldwide. It is known to be infected by viruses, yet knowledge of the diversity and activity of these viruses is still very limited. Based on sequences of PCR-amplified polB gene fragments, Chrysochromulina parva virus BQ1 (CpV-BQ1) was the first known lytic agent of C. parva, and was considered a member of the virus family Phycodnaviridae, order Algavirales. However, the genome of a different C. parva-infecting virus (CpV-BQ2, or Tethysvirus ontarioense) from another virus family, the Mesomimiviridae, order Imitervirales, was the first sequenced. Here, we report the complete genome sequence of the putative phycodnavirus CpV-BQ1, accession PQ783904. The complete CpV-BQ1 genome sequence is 165,454 bp with a GC content of 32.32% and it encodes 193 open reading frames. Phylogenetic analyses of several virus hallmark genes including the DNA polymerase (polB), the late gene transcription factor (VLTF-3), and the putative A32-like virion packaging ATPase (Viral A32) all demonstrate that CpV-BQ1 is most closely related to other viruses in the phylum Megaviricetes within the order Algavirales, family Phycodnaviridae.

genomics↗

Comparative proteomics of biofilm development in Pseudoalteromonas tunicata discovers a distinct family of Ca2+-dependent adhesins

The marine bacterium, Pseudoalteromonas tunicata, is a useful model for studying mechanisms of biofilm development due to its ability to colonize and form biofilms on a variety of marine and eukaryotic host-associated surfaces. However, the pathways responsible for P. tunicata biofilm formation are still incompletely understood, in part due to a lack of functional information for a large proportion of its proteome. Here, we used comparative shotgun proteomics to examine P. tunicata biofilm development throughout the planktonic phase to three stages of biofilm development at 24, 48, and 72 h. Proteomic analysis identified 232 proteins that were up-regulated during different stages of biofilm development, including many hypothetical proteins as well as proteins known to be important for P. tunicata biofilm development such as the autocidal enzyme AlpP, violacein proteins, S-layer protein SLR4, and various pili proteins. We further investigated the top identified biofilm-associated protein (Bap), a previously uncharacterized 1600 amino acid protein (EAR30327), which we designated as "BapP". Based on AlphaFold modeling and genomic context analysis, we predicted BapP as a distinct Ca2+-dependent biofilm adhesin. Consistent with this prediction, a {Delta}bapP knockout mutant was defective in forming both pellicle and surface-associated biofilms, which was rescued by re-insertion of bapP into the genome. Similar to mechanisms of RTX adhesins, BapP-mediated biofilm formation was influenced by Ca2+ levels, and BapP is likely exported by a type 1 secretion system. Ultimately, our work not only provides a useful proteomic dataset for studying biofilm development in an ecologically relevant organism, but it also adds to our knowledge of bacterial adhesin diversity, emphasizing Bap-like proteins as widespread determinants of biofilm formation in bacteria.

microbiology↗

Tracking SARS-CoV-2 variants of concern in wastewater: an assessment of nine computational tools using simulated genomic data

Wastewater-based surveillance (WBS) is an important epidemiological and public health tool for tracking pathogens across the scale of a building, neighbourhood, city, or region. WBS gained widespread adoption globally during the SARS-CoV-2 pandemic for estimating community infection levels by qPCR. Sequencing pathogen genes or genomes from wastewater adds information about pathogen genetic diversity which can be used to identify viral lineages (including variants of concern) that are circulating in a local population. Capturing the genetic diversity by WBS sequencing is not trivial, as wastewater samples often contain a diverse mixture of viral lineages with real mutations and sequencing errors, which must be deconvoluted computationally from short sequencing reads. In this study we assess nine different computational tools that have recently been developed to address this challenge. We simulated 100 wastewater sequence samples consisting of SARS-CoV-2 BA.1, BA.2, and Delta lineages, in various mixtures, as well as a Delta-Omicron recombinant and a synthetic "novel" lineage. Most tools performed well in identifying the true lineages present and estimating their relative abundances, and were generally robust to variation in sequencing depth and read length. While many tools identified lineages present down to 1% frequency, results were more reliable above a 5% threshold. The presence of an unknown synthetic lineage, which represents an unclassified SARS-CoV-2 lineage, increases the error in relative abundance estimates of other lineages, but the magnitude of this effect was small for most tools. The tools also varied in how they labelled novel synthetic lineages and recombinants. While our simulated dataset represents just one of many possible use cases for these methods, we hope it helps users understand potential sources of noise or bias in wastewater sequencing data and to appreciate the commonalities and differences across methods.

bioinformatics↗

A Novel Tiled-Amplicon Sequencing Assay Targeting the Tomato Brown Rugose Fruit Virus (ToBRFV) Genome Reveals Widespread Distribution in Municipal Wastewater Treatment Systems in the Province of Ontario, Canada

Tomato Brown Rugose Fruit Virus (ToBRFV) is a plant pathogen that infects important Solanaceae crop species and can dramatically reduce tomato crop yields. The ToBRFV has rapidly spread around the globe due to its ability to escape detection by antiviral host genes, most notably Tm-22, which are used to confer resistance to other Tobamoviruses in tomato plants. Development of robust and reproducible methods for detecting viruses in the environment aids in the tracking and reduction of pathogen transmission. We detected ToBRFV in municipal wastewater influent (WWI) samples, likely due to its presence in human waste, demonstrating a widespread distribution of ToBRFV in WWI throughout Ontario, Canada. To aid in global ToBRFV surveillance efforts, we developed a tiled-amplicon approach to sequence and track the evolution of ToBRFV genomes in municipal WWI. Our assay recovers 97.5% of the 6393 bp ToBRFV RefSeq genome, omitting the terminal 5 and 3 ends. We demonstrate that our sequencing assay is a robust, sensitive, and highly specific method for recovering ToBRFV genomes. Our ToBRFV assay was developed using existing ARTIC Network resources, which includes genome specific primer design, sequencing library prep, and read analysis. Additionally, we adapted our lineage abundance estimation tool, Alcov, to estimate the abundance of ToBRFV clades in samples.

microbiology↗

The variation of promoter strength in different gene contexts

BackgroundPromoter engineering has been employed as a strategy to enhance and optimize the production of bio-products. There have been many effortless studies searching the best promoter for biological application. However, whether promoter strengths stay unchanged in different gene contexts remains unknown. ResultsSix consecutive promoters at different strength levels were used to construct six different versions of plasmid backbone pTH1227, followed by inserted genes encoding two polymer-producing enzymes. Some of promoter strengths in the presence of inserted sequences did not correspond to the reported strengths in a previous study. When removing the inserted sequences, the strengths of these promoters returned to their reported strengths. These changes were further confirmed to occur at transcriptional levels. Polymer production using our newly constructed plasmids showed polymer accumulation levels relatively corresponding to the promoter strengths reported in our study. ConclusionOur study revealed the essence of re-assessing promoter strength in a specific gene context. Different gene contexts could result in the variation of promoter strengths, hence this might lead to different outcomes in downstream applications.

synthetic biology↗

Unraveling a tangled skein: Evolutionary analysis of the bacterial gibberellin biosynthetic operon

Gibberellin (GA) phytohormones are ubiquitous regulators of growth and developmental processes in vascular plants. The convergent evolution of GA production by plant-associated bacteria, including both symbiotic, nitrogen-fixing rhizobia and phytopathogens, suggests that manipulation of GA signaling is a powerful mechanism for microbes to gain an advantage in these interactions. Although homologous operons encode GA biosynthetic enzymes in both rhizobia and phytopathogens, notable genetic heterogeneity and scattered operon distribution in these lineages suggests distinct functions for GA in varied plant-microbe interactions. Therefore, deciphering GA operon evolutionary history could provide crucial evidence for understanding the distinct biological roles for bacterial GA production. To further establish the genetic composition of the GA operon, two operon-associated genes that exhibit limited distribution among rhizobia were biochemically characterized, verifying their roles in GA biosynthesis. Additionally, a maximum-parsimony ancestral gene block reconstruction algorithm was employed to characterize loss, gain, and horizontal gene transfer (HGT) of GA operon genes within alphaproteobacteria rhizobia, which exhibit the most heterogeneity among GA operon-containing bacteria. Collectively, this evolutionary analysis reveals a complex history for HGT of both individual genes and the entire GA operon, and ultimately provides a basis for linking genetic content to bacterial GA functions in diverse plant-microbe interactions.

microbiology↗

Lactic Acid Containing Polymers Produced in Engineered Sinorhizobium meliloti and Pseudomonas putida

This study demonstrates that novel polymer production can be achieved by introducing pTAM, a broad-host-range plasmid expressing codon-optimized genes encoding Clostridium propionicum propionate CoA transferase (PctCp) and a modified Pseudomonas sp. MBEL 6-19 polyhydroxyalkanoate (PHA) synthase 1 (PhaC1Ps6-19), into phaC mutant strains of the native polymer producers Sinorhizobium meliloti and Pseudomonas putida. Both phenotypic analysis and gas chromatography analysis indicated the synthesis and accumulation of biopolymers in S. meliloti and P. putida strains. Expression in S. meliloti resulted in the production of PLA homopolymer up to 3.2% dried cell weight (DCW). The quaterpolymer P(3HB-co-LA-co-3HHx-co-3HO) was produced by expression in P. putida. The P. putida phaC mutant strain produced this type of polymer the most efficiently with polymer content of 42% DCW when cultured in defined media with the addition of sodium octanoate, while the greatest LA fraction (4% mol) was achieved in the same strain cultured in LB with the addition of lactic acid. This is the first report, to our knowledge, of the production of a range of different biopolymers using the same plasmid-based system in different backgrounds. In addition, it is the first time that the novel polymer (P(3HB-co-LA-co-3HHx-co-3HO)), has been reported being produced in bacteria.

microbiology↗

Designer Sinorhizobium meliloti strains and multi-functional vectors for direct inter-kingdom transfer of high G+C content DNA

Storage and manipulation of large DNA fragments is crucial for synthetic biology applications, yet DNA with high G+C content can be unstable in many host organisms. Here, we report the development of Sinorhizobium meliloti as a new universal host that can store DNA, including high G+C content, and mobilize DNA to Escherichia coli, Saccharomyces cerevisiae, and the eukaryotic microalgae Phaeodactylum tricornutum. We deleted the S. meliloti hsdR restriction-system to enable DNA transformation with up to 1.4 x 105 efficiency. Multi-host and multi-functional shuttle vectors (MHS) were constructed and shown to stably replicate in S. meliloti, E. coli, S. cerevisiae, and P. tricornutum, with a copy-number inducible E. coli origin for isolating plasmid DNA. Crucially, we demonstrated that S. meliloti can act as a universal conjugative donor for MHS plasmids with a cargo of at least 62 kb of G+C rich DNA derived from Deinococcus radiodurans.

synthetic biology↗

Development of a GFP Fluorescent Bacterial Biosensor for the Detection and Quantification of Silver and Copper Ions

Ionic silver is known to be an effective antimicrobial agent widely used in the cleaning and medical industries, however, there are several concerns regarding the release of silver pollutants into the environment. Presented here are two engineered bacterial biosensors for the detection and quantification of silver. The biosensors contain a silver resistance operon and a GFP gene that is strictly regulated through silver activated regulatory regions that control expression of the sil operons. The two biosensors are responsive to a wide range of silver ion concentrations, and a correlation between silver and GFP signal is seen at select concentration ranges. The biosensors were shown to detect silver ions released from silver nanoparticles, and have the potential to become a method for monitoring ion release rates of different nanoparticles. Interestingly, the close homology of the silver resistance and copper resistance genes allowed for the biosensor to also be responsive to copper ions, implying that copper ions activate silver resistance. Further development of this biosensor could lead to commercial applications for environmental monitoring.\n\nImportanceIonic silver is known to have many harmful environmental effects. Silver pollutants have been found in various environmental settings such as natural waterways and tailings from mining operations, raising concern. In addition, persistent exposure to silver in medical and environmental settings has led to the development of silver resistant bacteria, many of which are also resistant to a wide range of antibiotics. Some of these have the potential to develop into human pathogens. It then becomes important to have standardized methods for detecting and monitoring silver concentrations in various environments so that appropriate measures can be taken to prevent further silver ion release. This research shows that bacterial biosensors engineered to detect and quantify silver ions can be developed as effective alternatives to traditional analytical techniques. Further development of such biosensors could result in a commercial system for short and long term environmental monitoring, which is important as products containing silver and other heavy metals become increasingly popular.

synthetic biology↗