Biology subjects

Gaze, W.

Publications and source records attributed to Gaze, W..

7 recordsLinked to original sources

bioRxiv2026

Effects of antibiotics on the abundance of antibiotic resistance determinants during and after antibiotic administration to beef cattle: A systematic review and meta-analysis of longitudinal studies

BackgroundBeef feedlots are increasing concerns that antibiotic use in beef cattle selects for antibiotic resistance, but limitations of primary studies and previous syntheses make it difficult to confirm a consistent effect. We conducted a rigorous systematic review and meta-analysis to summarise: 1) the effect during and after antibiotic administration; 2) its moderation by time since administration started/ended. MethodsEligible studies longitudinally compared beef cattle administered antibiotics to those that were not, measuring resistance determinants in faeces and/or environments. Information sources included Web of Science, CAB Abstracts, and Medline (last searches: 05/03/25). Risk of bias was assessed using RoB 2 and ROBINS-I. Meta-analysis was conducted where feasible, using individual participant data where necessary. ResultsThe 33 included studies were mostly small trials of North American feedlot cattle, all with high risks of bias. Meta-analysis of 11 studies of tylosin, ceftiofur, and chlortetracycline indicated positive effects on absolute abundance of resistance both during (SMDH = 0.4; 95% CI = 0.11 to 0.69, p = <0.01) and after (SMDH = 0.52; 95% CI = 0.33 to 0.71, p = <0.01) antibiotic administration. Log-transformed time was positively associated with effect size during (Slope = 0.63; 95% CI = 0.1 to 1.16, p = 0.02), and negatively associated after (Slope = -0.65; 95% CI = -1.24 to -0.06, p = 0.03) DiscussionAvailable evidence indicates time-dependent selection for antibiotic resistance in beef cattle, warranting further regulation to limit human health risks. Simultaneously, uncertainty about precise effect sizes warrants further research. FundingBBSRC Registrationhttps://doi.org/10.17605/OSF.IO/RXQHT

microbiology↗

bioRxiv2025

Escape from antimicrobial CRISPR-Cas9 in E. coli ST131 depends on the genetic context of the target gene.

Escherichia coli (E. coli) is a common bacterium in the human gut and an important cause of intestinal and extraintestinal infections. Some E. coli sequence types (ST) are associated with high pathogenicity. The Extraintestinal Pathogenic E. coli (ExPEC) ST131 is a globally distributed multidrug-resistant human pathogen associated with urinary tract and bloodstream infections. Antibiotic-resistant infections often lead to antibiotic treatment failure, underscoring the need of developing alternative treatments. The highly selective antimicrobial potential of CRISPR-Cas9 has been demonstrated in a range of model organisms. However, the effectiveness of CRISPR-Cas9 in combating ST131-associated infections and the consequences of CRISPR-Cas9 treatment, such as the emergence of escapers, remains unclear. Here, we investigated the antimicrobial activity of CRISPR-Cas9 against ST131 and assessed the frequency and genetic basis of escape. We conjugatively delivered CRISPR-Cas9 to ST131 isolates which carried cefotaxime-resistance-encoding target gene blaCTX-M-15 in the chromosome and characterized escape subpopulations. Two main types of escapers emerged: blaCTX-M-15-positive escapers carried dysfunctional CRISPR-Cas9 systems and arose at a [~]10-5 frequency. Instead, blaCTX-M-15-negative escapers presented chromosomal deletions involving blaCTX-M-15 loss. The frequency of blaCTX-M-15 loss depended on the blaCTX-M-15 genetic context. Specifically, blaCTX-M-15-negative escapers emerged at low frequency ([~]10-5) in isolates where blaCTX-M-15 was located downstream of insertion sequence (IS) ISEcp1, while escapers emerged with high frequency ([~]10-3) in isolates where blaCTX-M-15 was flanked by IS26. This work emphasizes how the genetic context of target genes can drive the outcome of CRISPR-Cas9 tools, where the presence of IS26 may drive increased frequencies of escape. IMPORTANCEIn the past decade CRISPR-Cas9 has emerged as an efficient antimicrobial tool capable of selective elimination of targeted bacteria. Even though it has been well described that bacteria can evolve to escape targeting by CRISPR-Cas9, the mechanisms of bacterial escape and their consequences remain largely elusive. In this study, we demonstrate the antimicrobial efficacy of CRISPR-Cas9 against natural isolates of Escherichia coli ST131, a clinically relevant pathogen, and elucidate the mechanism of escape from antimicrobial activity. We identify two distinct mechanisms of escape, which involve either dysfunctional CRISPR-Cas9 activity, or loss of the target gene (blaCTX-M-15), with the latter occurring at frequencies that depend on the genetic context of the target gene. These findings provide important insights into the frequency and mechanisms of bacterial escape from CRISPR-Cas9-based antimicrobials and offer a foundation for the development of more effective treatments.

microbiology↗

bioRxiv2022

The effect of metal remediation on the virulence and antimicrobial resistance of the opportunistic pathogen Pseudomonas aeruginosa

Metal contamination poses both a direct threat to human health as well as an indirect threat through its potential to affect bacterial pathogens. Metals can not only co-select for antibiotic resistance, but also might affect pathogen virulence via increased siderophore production. Siderophores are extracellular compounds released to increase ferric iron uptake -- a common limiting factor for pathogen growth within hosts - making them an important virulence factor. However, siderophores can also be positively selected for to detoxify non-ferrous metals, and consequently metal stress can potentially increase bacterial virulence. Anthropogenic methods to remediate environmental metal contamination commonly involve amendment with lime-containing materials, but whether this reduces in situ co-selection for antibiotic resistance and virulence remains unknown. Here, using microcosms containing metal-contaminated river water and sediment, we experimentally test whether metal remediation by liming reduces co-selection for these traits in the opportunistic pathogen Pseudomonas aeruginosa embedded within a natural microbial community. To test for the effects of environmental structure, which can impact siderophore production, microcosms were incubated under either static or shaking conditions. Evolved P. aeruginosa populations had greater fitness in the presence of toxic concentrations of copper than the ancestral strain, but this effect was reduced in the limed treatments. Evolved P. aeruginosa populations showed increased resistance to the clinically-relevant antibiotics apramycin, cefotaxime, and trimethoprim, regardless of lime addition or environmental structure. Although we found virulence to be significantly associated with siderophore production, neither virulence nor siderophore production significantly differed between the four treatments. We therefore demonstrate that although remediation via liming reduced the strength of selection for metal resistance mechanisms, it did not mitigate metal-imposed selection for antibiotic resistance or virulence in P. aeruginosa. Consequently, metal-contaminated environments may select for antibiotic resistance and virulence traits even when treated with lime. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/508257v2_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@2f396corg.highwire.dtl.DTLVardef@62e7b3org.highwire.dtl.DTLVardef@159d269org.highwire.dtl.DTLVardef@52395_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

bioRxiv2019

Short-term evolution under copper stress increases probability of plasmid uptake

Understanding plasmid transfer dynamics remains a key knowledge gap in the mitigation of antibiotic resistance gene spread. Direct effects of exposure to stressors on plasmid uptake are well monitored. However, it remains untested whether evolution of strains under stress conditions modulates subsequent plasmid uptake. Here, we evolved a compost derived microbial community for six weeks under copper stress and non-exposed control conditions. We then tested the ability of isolated clones from both treatments to take up the broad host range plasmid pKJK5 from an E.coli donor strain. Clones pre-adapted to copper displayed a significantly increased probability to be permissive towards the plasmid compared to those isolated from the control treatment. Further, increased phylogenetic distance to the donor strain was significantly and negatively correlated with plasmid uptake probabilities across both treatments.

microbiology↗

bioRxiv2019

Selection for antibiotic resistance is reduced when embedded in a natural microbial community

Antibiotic resistance has emerged as one of the most pressing, global threats to public health. In single-species experiments selection for antibiotic resistance occurs at very low antibiotic concentrations. However, it is unclear how far these findings can be extrapolated to natural environments, where species are embedded within complex communities. We competed isogenic strains of Escherichia coli, differing exclusively in a single chromosomal resistance determinant, in the presence and absence of a pig fecal microbial community across a gradient of antibiotic concentration for two relevant antibiotics: gentamicin and kanamycin. We show that the minimal selective concentration was increased by more than one order of magnitude for both antibiotics when embedded in the community. We identified two general mechanisms were responsible for the increase in minimal selective concentration: an increase in the cost of resistance and a protective effect of the community for the susceptible phenotype. These findings have implications for our understanding of the evolution and selection of antibiotic resistance, and can inform future risk assessment efforts on antibiotic concentrations.

microbiology↗

bioRxiv2018

Using the Wax moth larva Galleria mellonella infection model to detect emerging bacterial pathogens

Climate change, changing farming practices, social and demographic changes and rising levels of antibiotic resistance are likely to lead to future increases in opportunistic bacterial infections that are more difficult to treat. Uncovering the prevalence and identity of pathogenic bacteria in the environment is key to assessing transmission risks. We describe the first use of the Wax moth larva Galleria mellonella, a well-established model for the mammalian innate immune system, to selectively enrich and characterize pathogens from coastal environments in the South West of the U.K. Whole-genome sequencing of highly virulent isolates revealed amongst others a Proteus mirabilis strain carrying the Salmonella SGI1 genomic island not reported from the U.K. before and the recently described species Vibrio injenensis hitherto only reported from human patients in Korea. Our novel method has the power to detect novel bacterial pathogens in the environment that potentially pose a serious risk to public health.

microbiology↗

bioRxiv2018

NOVEL INSIGHTS INTO SELECTION FOR ANTIBIOTIC RESISTANCE IN COMPLEX MICROBIAL COMMUNITIES

Recent research has demonstrated selection for antibiotic resistance occurs at very low antibiotic concentrations in single species experiments, but the relevance of these findings when species are embedded in complex microbial communities is unclear. We show the strength of selection for naturally occurring resistance alleles in a complex community remains constant from low sub-inhibitory to above clinically relevant concentrations. Selection increases with antibiotic concentration before reaching a plateau where selection remains constant over a two order magnitude concentration range. This is likely to be due to cross-protection of the susceptible bacteria in the community following rapid extracellular antibiotic degradation by the resistant population, shown experimentally through a combination of chemical quantification and bacterial growth experiments. Metagenome and 16S rRNA analyses on sewage-derived bacterial communities evolved under cefotaxime exposure show preferential enrichment for blaCTX-M genes over all other beta-lactamase genes, as well as positive selection and co-selection for antibiotic resistant, opportunistic pathogens. These findings have far reaching implications for our understanding of the evolution of antibiotic resistance, by challenging the long-standing assumption that selection occurs in a dose-dependent manner.

microbiology↗