Biology subjects

Welch, M.

Publications and source records attributed to Welch, M..

At least 19 recordsLinked to original sources

bioRxiv2026

How small is too small? Genetic signatures from naturally small populations of a large island vertebrate, the Turks and Caicos Rock Iguana

Small populations are increasingly common on the landscape, and many face rising probabilities of extinction. Demographic factors alone can drive a small population into an extinction vortex, but genetic factors such as inbreeding and genetic drift lead to reductions in genetic diversity and expression of deleterious alleles, further impacting fitness. Populations on islands are also impacted by founder effects, minimal gene flow, and habitat constraints, yet naturally small, island populations have persisted through many generations despite all these factors. This suggests that island biota may operate at smaller viable population sizes than their mainland counterparts while avoiding extinction vortices. Using 26 microsatellites, we describe the genetic diversity and population structure of 13 subpopulations of a large island vertebrate, the endangered Turks and Caicos rock iguana (Cyclura carinata), found on a range of small cays (0.151-374ha). Most subpopulations had decreased genetic variation but limited evidence of inbreeding despite small island size. Even with water barriers limiting gene flow, some subpopulations in geographical proximity are functioning as a metapopulation while others are not. These subpopulations are not in danger of extirpation, even though census size could be as low as 10 individuals. We believe this study shows that C. carinata has a low population size threshold for long-term persistence that can inform the species' future management, such as with conservation translocations. Furthermore, this project anecdotally adds more evidence to how island populations persist through selection despite genetic drift.

genetics↗

bioRxiv2026

Machine Learning Method for Optimizing Coding Sequences in Mammalian Cells

Mammalian cell lines are the preferred hosts for producing commercially relevant therapeutic proteins such as antibodies, multispecifics, and cytokine fusion proteins. Even though significant investment is made to optimize upstream and downstream processes, the optimal gene design parameters for heterologous recombinant protein expression remain poorly understood. We describe here a generic approach to gene optimization in which design features are systematically sampled and modulated iteratively using machine learning (ML). Synthetic genes encoding the Dasher fluorescent protein, differing only in synonymous codons, were used to interrogate the gene-sequence preferences of transient antibody-expressing HEK293 cells. Synonymous codon variations influenced expression by more than two orders of magnitude. This variation in protein yield was used to build ML models relating gene design features, which were then employed to design further-improved genes. The ML models were shown to be expression system-specific. Messenger RNA levels and ribosome occupancy were highly correlated with protein levels, suggesting that mRNA lifetime has a causal relationship with coding bias. Our results illustrate a novel, generally applicable method to improve gene expression via synonymous re-coding for any protein target or host cell.

bioengineering↗

bioRxiv2025

Pseudomonas aeruginosa lasR is a keystone gene in polymicrobial cultures

The airways of people with cystic fibrosis (CF) are often co-infected by Pseudmonas aeruginosa and a variety of other co-habiting microbes; the infections are polymicrobial. P. aeruginosa isolates from the CF airways are also known to commonly acquire mutations in the quorum sensing regulator, lasR. The appearance of these lasR mutants is associated with a worsening clinical prognosis. In this work, we show that loss of lasR function has a significant impact on the stability of inter-species interactions in a polymicrobial ecosystem, and in particular on the dynamics of a common CF-associated fungus, Candida albicans. Titres of C. albicans were stable in the presence of wild type P. aeruginosa and Staphylococcus aureus. However, when wild type P. aeruginosa was replaced by a {Delta}lasR mutant, C. albicans titres progressively declined over time. This instability could be reversed by ectopic expression of a Type VI Secretion System effector cluster (tsi) in the {Delta}lasR mutant. We also noted that challenge of the polymicrobial cultures with a clinically-relevant combination of antibiotics (colistin and ciprofloxacin) led to a hyphal bloom of the fungus. This bloom was abolished in the {Delta}lasR mutant, but again, was restored by ectopic expression of the tsi cluster. Finally, we show that whereas wild type P. aeruginosa is relatively agnostic to the presence of other microbes, the {Delta}lasR mutant is not and undergoes substantial transcriptional reprogramming. Our data indicate that lasR has a large and previously unrecognised impact on inter-species interactions. We therefore propose that lasR is an ecological keystone gene.

microbiology↗

bioRxiv2025

Hyphal growth determines spatial organization and coexistence in a pathogenic polymicrobial community within alveoli-like geometries

The bodies of macroorganisms host microbes living in multi-species communities. Sequencing approaches have revealed that different organs host different microbiota and tend to be infected by different pathogens, drawing correlations between environmental parameters at the organ level and microbial composition. However, less is known about the microscale dimension of microbial ecology, particularly during infection. In this study, we focus on the role of microscale spatial structure, studying its influence on the ecology of a polymicrobial infection of P. aeruginosa, S. aureus and C. albicans. Although these pathogens are commonly found together in the lungs of chronically ill patients, it is unclear whether they coexist or compete and segregate in different niches. We find that, while P. aeruginosa quickly outcompetes C. albicans and S. aureus on large surfaces, robust spatial organization and coexistence emerges in microfluidic microchambers that mimic the spatial characteristics of alveoli. In these microenvironments, slowly growing C. albicans is able to leverage fast eccentric hyphal growth to conquer boundary spaces, where it establishes itself excluding the other pathogens. We show that the emerging spatial patterning is robust to changes in the virulence of the community, enabling coexistence and potentially determining infection severity and outcomes. Our findings reveal a previously unrecognized role of mechanical forces in shaping infection dynamics, suggesting that microenvironmental structure is a critical determinant of pathogen coexistence, virulence, and treatment outcomes. Because adaptations, such as changes in morphology, are widespread among microbes, these results are generalizable to other ecologies and environments.

microbiology↗

bioRxiv2023

Expansion of novel biosynthetic gene clusters from diverse environments using SanntiS

Natural products biosynthesised by microbes are an important component of the pharmacopeia with a vast array of biomedical and industrial applications, in addition to their key role in mediating many ecological interactions. One approach for the discovery of these metabolites is the identification of biosynthetic gene clusters (BGCs), genomic units which encode the molecular machinery required for producing the natural product. Genome mining has revolutionised the discovery of BGCs, yet metagenomic assemblies represent a largely untapped source of natural products. The imbalanced distribution of BGC classes in existing databases restricts the generalisation of detection patterns and limits the ability of mining methods to recognise a broader spectrum of BGCs. This problem is further intensified in metagenomic datasets, where BGC genes may be incomplete. This work presents SanntiS, a new machine learning-based tool for identifying BGCs. SanntiS achieved high precision and recall in both genomic and metagenomic datasets, effectively capturing a broad range of BGCs. Application of SanntiS to MGnify metagenomic assemblies led to a resource containing 1.9 million BGC predictions with associated contextual data from diverse biomes and demonstrates a significant fraction of novelty compared to equivalent isolate genomes datasets. Subsequent experimental validation of a novel antimicrobial peptide detected solely by SanntiS, further demonstrates the potential of this approach for uncovering novel bioactive compounds.

bioinformatics↗

bioRxiv2023

Metabolic specialization drives reduced pathogenicity in Pseudomonas aeruginosa CF clinical isolates

Metabolism provides the foundation for all cellular functions. During persistent infections, in adapted pathogenic bacteria metabolism functions radically differently compared with more naive strains. Whether this is simply a necessary accommodation to the persistence phenotype or if metabolism plays a direct role in achieving persistence in the host is still unclear. Here, we characterize a convergent shift in metabolic function(s) linked with the persistence phenotype during Pseudomonas aeruginosa colonization in the airways of people with cystic fibrosis. We show that clinically-relevant mutations in the key metabolic enzyme, pyruvate dehydrogenase, lead to a host-specialized metabolism together with a lower virulence and immune response recruitment. These changes in infection phenotype are mediated by impaired type III secretion system activity and by secretion of the antioxidant metabolite, pyruvate, respectively. Our results show how metabolic adaptations directly impinge on persistence and pathogenicity in this organism.

microbiology↗

bioRxiv2022

Systems-wide dissection of organic acid assimilation in Pseudomonas aeruginosa reveals a novel path to underground metabolism

The human pathogen Pseudomonas aeruginosa (Pa) is one of the most frequent and severe causes of nosocomial infection. This organism is also a major cause of airway infections in people with cystic fibrosis (CF). Pa is known to have a remarkable metabolic plasticity, allowing it to thrive in diverse environmental conditions and ecological niches, yet little is known about the central metabolic pathways which sustain its growth during infection, or precisely how these pathways operate. In this work, we used a combination of omics approaches (transcriptomics, proteomics, metabolomics and 13C-fluxomics) and reverse genetics to provide a systems-level insight into how the infection-relevant organic acids, succinate and propionate, are metabolized by Pa. Moreover, through structural and kinetic analysis of the 2-methylcitrate synthase (PrpC) and its paralogue, citrate synthase (GltA), we show how these two crucial enzymatic steps are interconnected in Pa organic acid assimilation. We found that Pa can rapidly adapt to the loss of GltA function by acquiring mutations in a transcriptional repressor, which then de-represses prpC expression. Our findings provide a clear example of how underground metabolism, facilitated by enzyme substrate promiscuity, "rewires" Pa metabolism, allowing it to overcome the loss of a crucial enzyme. This pathogen-specific knowledge is critical for the advancement of a model-driven framework to target bacterial central metabolism.

microbiology↗

bioRxiv2022

Plasma membrane protrusions mediate host cell-cell fusion induced by Burkholderia thailandensis

Cell-cell fusion is important for biological processes including fertilization, development, immunity, and microbial pathogenesis. Bacteria in the pseudomallei group of Burkholderia species, including B. thailandensis, spread between host cells by inducing cell-cell fusion. Previous work showed that B. thailandensis-induced cell-cell fusion requires intracellular bacterial motility and a bacterial protein secretion apparatus called the type VI secretion system-5 (T6SS-5), including the T6SS-5 protein VgrG5. However, the cellular level mechanism and T6SS-5 proteins important for bacteria-induced cell-cell fusion remained incompletely described. Using live cell imaging, we found bacteria used actin-based motility to push on the host cell plasma membrane to form plasma membrane protrusions that extended into neighboring cells. Then, membrane fusion occurred within these membrane protrusions, either proximal to the bacterium at the tip or elsewhere within a protrusion. Expression of VgrG5 by bacteria within membrane protrusions was required to promote cell-cell fusion. Furthermore, a second predicted T6SS-5 protein, TagD5, was also required for cell-cell fusion. In the absence of VgrG5 or TagD5, bacteria in plasma membrane protrusions were engulfed into neighboring cells. Our results suggest that the T6SS-5 effectors VgrG5 and TagD5 are secreted within membrane protrusions and act locally to promote membrane fusion.

cell biology↗

bioRxiv2021

Pre-clinical validation of an RNA-based precision oncology platform for patient-therapy alignment in a diverse set of human malignancies resistant to standard treatments

Predicting tumor sensitivity to antineoplastics remains an elusive challenge, with no methods demonstrating predictive power. Joint analysis of tumors--from patients with distinct malignancies who had progressed on multiple lines of therapy--and drug perturbation transcriptional profiles predicted sensitivity to 28 of 350 drugs, 26 of which (93%) were confirmed in low-passage, patient-derived xenograft (PDX) models. Drugs were prioritized based on their ability to either invert the activity of individual Master Regulator proteins, with available high-affinity inhibitors, or of the modules they comprise (Tumor-Checkpoints), based on de novo mechanism of action analysis. Of 138 PDX mice enrolled in 16 single and 18 multi-protein treatment arms, a disease control rate (DCR) of 68% and 91 %, and an objective response rate (ORR) of 12% and 17%, were achieved respectively, compared to 6% and 0% in the negative controls arm, with multi-protein drugs achieving significantly more durable responses. Thus, these approaches may effectively complement and expand current precision oncology approaches, as also illustrated by a case study.

systems biology↗

bioRxiv2021

The efficacy of antimicrobial agents is decreased in a polymicrobial environment

The airways of people with cystic fibrosis (CF) often harbour diverse polymicrobial communities. These airway infections can be impossible to resolve though antibiotic intervention, even though isolates of the individual species present are susceptible to the treatment when tested in vitro. This suggests that susceptibility to antimicrobial agents may be altered in the presence of other microbial species. In this work, we investigate how polymicrobial cultures of key CF-associated species respond to challenge with species-specific antimicrobial agents; colistin (targets Pseudomonas aeruginosa), fusidic acid (targets Staphylococcus aureus) and fluconazole (targets Candida albicans). We found that, compared with growth in axenic cultures, the target organism was protected (sometimes by several orders of magnitude) from the effect(s) of the antimicrobial agent when grown in a polymicrobial culture. This decreased antimicrobial efficacy in polymicrobial cultures was found to have both phenotypic and inherited components. Whole genome sequencing of the colistin-resistant P. aeruginosa isolates revealed single nucleotide polymorphisms and indels in genes encoding lipopolysaccharide (LPS) biosynthesis or pilus biogenesis. Colistin resistance associated with loss-of-function mutations in the LPS biosynthetic gene, wzy, could be complemented by expression of the wild-type wzy gene in trans. Our findings indicate that the polymicrobial nature of the CF airways is likely to have a significant impact on the clinical response to antimicrobial therapy.

microbiology↗

bioRxiv2020

Genetically encoded ratiometric biosensor for probing lysosomal pH in mammalian cells and C. elegans

Lysosomes are important sites for macromolecular degradation, defined by an acidic lumenal pH of [~]4.5. To better understand lysosomal pH, we designed a novel, genetically encoded, fluorescent protein (FP) based pH biosensor called FIRE-pHLy (Fluorescence Indicator REporting pH in Lysosomes). This biosensor was targeted to lysosomes with lysosomal-associated membrane protein 1 (LAMP1) and reported lumenal pH between 3.5 and 6.0 with monomeric teal fluorescent protein 1 (mTFP1), a bright cyan pH sensitive FP variant with a pKa of 4.3. Ratiometric quantification was enabled with cytosolically oriented mCherry using high-content quantitative imaging. We expressed FIRE-pHLy in several cellular models and quantified the alkalinizing response to bafilomycin A1, a specific V-ATPase inhibitor. In summary, we have engineered FIRE-pHLy, a specific, robust and versatile lysosomal pH biosensor that has broad applications for investigating pH dynamics in aging and lysosome-related diseases, as well as in lysosome-based drug discovery.

cell biology↗

bioRxiv2020

Proteomic responses to ocean acidification in the brain of juvenile coral reef fish

Elevated CO2 levels predicted to occur by the end of the century can affect the physiology and behaviour of marine fishes. For one important survival mechanism, the response to chemical alarm cues from conspecifics, substantial among-individual variation in the extent of behavioural impairment when exposed to elevated CO2 has been observed in previous studies. Whole brain transcriptomic data has further emphasized the importance of parental phenotypic variation in the response of juvenile fish to elevated CO2. In this study, we investigate the genome-wide proteomic responses of this variation in the brain of 5-week old spiny damselfish, Acanthochromis polyacanthus. We compared the expression of proteins in the brains of juvenile A. polyacanthus from two different parental behavioural phenotypes (sensitive and tolerant) that had been experimentally exposed to short-term, long-term and inter-generational elevated CO2. Our results show differential expression of key proteins related to stress response and epigenetic markers with elevated CO2 exposure. Proteins related to neurological development were also differentially expressed particularly in the long-term developmental treatment, which might be critical for juvenile development. By contrast, exposure to elevated CO2 in the parental generation resulted in only three differentially expressed proteins in the offspring, revealing potential for inter-generational acclimation. Lastly, we found a distinct proteomic pattern in juveniles due to the behavioural sensitivity of parents to elevated CO2, even though the behaviour of the juvenile fish was impaired regardless of parental phenotype. Our data shows that developing juveniles are affected in their brain protein expression by elevated CO2, but the effect varies with the length of exposure as well as due to variation of parental phenotypes in the population.

ecology↗

bioRxiv2020

Mechanical competition triggered by innate immune signaling drives the collective extrusion of bacterially-infected epithelial cells

Multiple distinct types of intracellular bacterial pathogens have been shown to alter the mechanics of their mammalian host cells to promote cell-to-cell spread. Conversely, host cells may respond by altering their own mechanical behavior to limit infection. We monitored epithelial cell monolayers sparsely infected with the intracellular bacterial pathogens Listeria monocytogenes or Rickettsia parkeri over the course of several days. Under conditions where these pathogens were able to trigger innate immune signaling through the NF-{kappa}B pathway and to use actin-based motility to spread non-lytically from cell to cell, domains of infected cells formed enormous three-dimensional mounds, where uninfected cells surrounding the infected cells became stiffer and actively moved toward the site of infection, collectively squeezing the softer and weaker infected cells up and ejecting them from the epithelial monolayer. Bacteria in mounds were less able to spread laterally in the monolayer, limiting the growth of the focus, while mounded cells eventually underwent cell death. Cells in infected monolayers exhibited behavioral and molecular signatures of the epithelial to mesenchymal transition (EMT), such that coordinated forceful action by uninfected bystander cells actively eliminated large domains of infected cells, consistent with the hypothesis that this collective cell response represents an innate immune response.

microbiology↗

bioRxiv2019

Global reprogramming of virulence and antibiotic resistance in Pseudomonas aeruginosa by a single nucleotide polymorphism in the elongation factor-encoding gene, fusA1.

Pseudomonas aeruginosa is a common opportunistic pathogen. The organism displays elevated intrinsic antibiotic resistance and can cause life-threatening infections. The gene encoding an elongation factor, FusA1, is frequently mutated in clinical isolates of P. aeruginosa from patients with cystic fibrosis (CF). Recent work has shown that fusA1 mutants often display elevated aminoglycoside resistance due to increased expression of the aminoglycoside efflux pump, MexXY. In the current work, we isolated a spontaneous gentamicin-resistant fusA1 mutant (FusA1P443L) in which mexXY expression was increased. Through a combination of proteomic and transcriptomic analyses, we found that the fusA1 mutant also exhibited large-scale but discrete changes in the expression of key pathogenicity-associated genes. Most notably, the fusA1 mutant displayed greatly increased expression of the Type III Secretion system (T3SS), widely considered to be the most potent virulence factor in the P. aeruginosa arsenal, and also elevated expression of the Type VI Secretion (T6S) machinery. This was unexpected because expression of the T3SS is usually reciprocally coordinated with T6S system expression. The fusA1 mutant also displayed elevated exopolysaccharide production, dysregulated siderophore production, elevated ribosomal protein synthesis, and transcriptomic signatures indicative of translational stress. Each of these phenotypes (and almost all of the transcriptomic and proteomic changes associated with the fusA1 mutation) were restored to levels comparable to that in the PAO1-derived progenitor strain by expression of the wild-type fusA1 gene in trans, indicating that the mutant gene is recessive. Our data show that in addition to elevating antibiotic resistance through mexXY expression (although we also identify additional contributory resistance mechanisms), mutations in fusA1 can lead to highly-selective dysregulation of virulence gene expression.

microbiology↗

bioRxiv2019

Contextual flexibility in Pseudomonas aeruginosa central carbon metabolism during growth in single carbon sources

Pseudomonas aeruginosa is an opportunistic human pathogen, particularly noted for causing infections in the lungs of people with cystic fibrosis (CF). Previous studies have shown that the gene expression profile of P. aeruginosa appears to converge towards a common metabolic program as the organism adapts to the CF airway environment. However, at a systems level, we still have only a limited understanding of how these transcriptional changes impact on metabolic flux. To address this, we analysed the transcriptome, proteome and fluxome of P. aeruginosa grown on glycerol or acetate. These carbon sources were chosen because they are the primary breakdown products of airway surfactant, phosphatidylcholine, which is known to be a major carbon source for P. aeruginosa in the CF airways. We show that the flux of carbon through central metabolism is radically different on each carbon source. For example, the newly-recognised EDEMP cycle plays an important role in supplying NADPH during growth on glycerol. By contrast, the EDEMP cycle is attenuated during growth on acetate, and instead, NADPH is primarily supplied by the isocitrate dehydrogenase(s)-catalyzed reaction. Perhaps more importantly, our proteomic and transcriptomic analyses reveal a global remodelling of gene expression during growth on the different carbon sources, with unanticipated impacts on aerobic denitrification, electron transport chain architecture, and the redox economy of the cell. Collectively, these data highlight the remarkable metabolic plasticity of P. aeruginosa; a plasticity which allows the organism to seamlessly segue between different carbon sources, maximising the energetic yield from each.\n\nImportancePseudomonas aeruginosa is an opportunistic human pathogen, well-known for causing infections in the airways of people with cystic fibrosis. Although it is clear that P. aeruginosa is metabolically well-adapted to life in the CF lung, little is currently known about how the organism metabolises the nutrients available in the airways. In this work, we use a combination of gene expression and isotope tracer (\"fluxomic\") analyses to find out exactly where the input carbon goes during growth on two CF-relevant carbon sources, acetate and glycerol (derived from the breakdown of lung surfactant). We find that carbon is routed (\"fluxed\") through very different pathways during growth on these substrates, and that this is accompanied by an unexpected remodelling of the cells electron transfer pathways. Having access to this \"blueprint\" is important because the metabolism of P. aeruginosa is increasingly being recognised as a target for the development of much-needed antimicrobial agents.

microbiology↗

bioRxiv2019

Alpha-synuclein antisense oligonucleotides as a disease-modifying therapy for Parkinson’s disease

Parkinsons disease (PD) is a prevalent neurodegenerative disease with no approved disease-modifying therapies. Multiplications, mutations, and single nucleotide polymorphisms in the SNCA gene, encoding alpha-synuclein protein (aSyn), either cause or increase risk for PD. Intracellular accumulations of aSyn are pathological hallmarks of PD. Taken together, reduction of aSyn production may provide a disease-modifying therapy for PD. We show that antisense oligonucleotides (ASOs) reduce production of aSyn in rodent pre-formed fibril (PFF) models of PD. Reduced aSyn production leads to prevention and removal of established aSyn pathology and prevents dopaminergic cell dysfunction. In addition, we address the translational potential of the approach through characterization of human SNCA targeting ASOs that efficiently suppress the human SNCA transcript in vivo. We demonstrate broad activity and distribution of the human SNCA ASOs throughout the non-human primate brain and a corresponding decrease in aSyn cerebral spinal fluid (CSF) levels. Taken together, these data suggest that by inhibiting production of aSyn it may be possible to reverse established pathology and thus supports the development of SNCA ASOs as a potentially disease modifying therapy for PD and related synucleinopathies.\n\nSummaryAntisense oligonucleotides designed against SNCA, which are progressing to the clinic, have the potential to be a disease modifying therapeutic for Parkinsons disease patients.

neuroscience↗

bioRxiv2019

Origin of cooperativity in the activation of dimeric transcription factors

Cooperative behavior in the binding of ligands to a protein is often viewed as a complex phenomenon where conformational changes induced by the binding of the first ligand leads to tighter binding of subsequent ligands. We revisit the ligand-dependent activation of dimeric transcription factors and show that this process may appear cooperative even when it results from independent lig- and binding events. This effect is further accentuated through binding of the activated transcription factor to its cognate operator site on the DNA, where we demonstrate that cooperative activation is a stable fixed point. Our analysis nicely accounts for the apparent co-operativity inherent in the biological activity of many dimeric transcription factors.

molecular biology↗

bioRxiv2018

Specific detection of cell-free DNA derived from intestinal epithelial cells using methylation patterns

Epithelial cells of the intestine undergo rapid turnover and are thought to be cleared via stool. Disruption of tissue architecture, as occurs in colorectal cancer (CRC), results in the release of material from dying intestinal epithelial cells to blood. This phenomenon could be utilized for diagnosis and monitoring of intestinal diseases, if circulating cell-free DNA (cfDNA) derived from intestinal cells could be specifically identified. Here we describe two genomic loci that are unmethylated specifically in intestinal epithelial cells, allowing for sensitive and specific detection of DNA derived from such cells. As expected, intestinal DNA is found in stool, but not in plasma, of healthy individuals. Patients with inflammatory bowel disease (IBD) have minimal amounts of intestinal cfDNA in the plasma, whereas patients with advanced CRC show a strong signal. The intestinal markers are not elevated in plasma samples from patients with pancreatic ductal adenocarcinoma (PDAC), and a combination of intestine- and pancreas-specific markers allowed for robust differentiation between plasma cfDNA derived from CRC and PDAC patients. Intestinal DNA markers provide a mutation-independent tool for monitoring intestinal dynamics in health and disease.

developmental biology↗