Biology subjects

Redondo, M.

Publications and source records attributed to Redondo, M..

3 recordsLinked to original sources

bioRxiv2026

Reusable immobilised quaternary ammonium particles reduce microbial and resistome burdens without promoting resistance selection during wastewater post-treatment.

Wastewater treatment plants act as convergence zones for antibiotic residues, antibiotic-resistant bacteria (ARB), and antimicrobial resistance genes (ARGs), yet conventional processes are not designed to mitigate resistance dissemination from their effluents. While chemical disinfectants are generally effective, soluble quaternary ammonium compounds (QACs) can generate subinhibitory exposure gradients that promote resistance selection and co-selection both during treatment and after release into receiving waters. Here, we evaluate a contact-restricted alternative: benzyldimethyldodecyl ammonium chloride (BDMDAC) immobilised onto hydroxyapatite microparticles as a reusable and retainable post-treatment polishing strategy. Across single-strain assays, treated wastewater exposure, and experimental community evolution, immobilised BDMDAC-functionalised particles (BDMDAC-FPs) achieved concentration-dependent antimicrobial activity without detectable biocide leaching. Optimal exposure (200 mg/L, 4 h) resulted in a ~5.5 log reduction in total bacterial abundance and removal of clinically relevant ARGs. Antimicrobial efficacy was retained after one reuse cycle, supporting operational stability. Plasmid-borne QAC ARGs did not confer protection, and no enrichment of qac-associated or non-QAC ARGs was observed. Conjugation assays demonstrated suppression of horizontal gene transfer even under suboptimal exposure, and mobility-associated markers remained stable or declined during long-term community incubation. Collectively, the data support a contact-restricted mechanism in which antimicrobial pressure is spatially confined to the particle interface, generating high local lethality while limiting diffuse subinhibitory exposure. This spatial confinement decouples antimicrobial efficacy from classical disinfectant-driven resistance selection and mobility amplification. Immobilised BDMDAC-FPs therefore provide a mechanistically distinct and evolution-conscious framework for wastewater polishing technologies.

microbiology↗

bioRxiv2023

Predicting genomic traits in ammonia-oxidizing archaea using phylogenetic signals

Phylogenetic conservatism of microbial traits has paved the way for phylogeny-based predictions, allowing us to move from descriptive to predictive functional microbial ecology. Here, we applied phylogenetic eigenvector mapping, an approach not previously used for microorganisms, to predict key traits of ammonia-oxidizing archaea (AOA), which are important players in nitrogen cycling. Using 168 nearly complete AOA genomes and metagenome assembled genomes from public databases, we predicted the distribution of 18 ecologically relevant genes across an updated amoA gene phylogeny, including a novel variant of an ammonia transporter found in this study. Of the selected genes, 94% displayed a significant phylogenetic signal and gene presence was predicted with >88% accuracy, >88% sensitivity, and >80% specificity. The phylogenetic eigenvector approach performed equally well as ancestral state reconstruction of traits. We implemented the predictive models on an amoA sequencing dataset of AOA soil communities and show key ecological predictions, e.g., that AOA communities in nitrogen rich soils have capacity for ureolytic metabolism while those adapted to low pH soils have the high affinity ammonia transporter (amt2). Predicting genomic traits can shed light on the potential functions that microbes perform across earth biomes, further contributing to a better mechanistic understanding of their community assembly.

ecology↗

bioRxiv2020

Within-patient genetic diversity of SARS-CoV-2

SARS-CoV-2, the virus responsible for the current COVID-19 pandemic, is evolving into different genetic variants by accumulating mutations as it spreads globally. In addition to this diversity of consensus genomes across patients, RNA viruses can also display genetic diversity within individual hosts, and co-existing viral variants may affect disease progression and the success of medical interventions. To systematically examine the intra-patient genetic diversity of SARS-CoV-2, we processed a large cohort of 3939 publicly-available deeply sequenced genomes with specialised bioinformatics software, along with 749 recently sequenced samples from Switzerland. We found that the distribution of diversity across patients and across genomic loci is very unbalanced with a minority of hosts and positions accounting for much of the diversity. For example, the D614G variant in the Spike gene, which is present in the consensus sequences of 67.4% of patients, is also highly diverse within hosts, with 29.7% of the public cohort being affected by this coexistence and exhibiting different variants. We also investigated the impact of several technical and epidemiological parameters on genetic heterogeneity and found that age, which is known to be correlated with poor disease outcomes, is a significant predictor of viral genetic diversity. Author SummarySince it arose in late 2019, the new coronavirus (SARS-CoV-2) behind the COVID-19 pandemic has mutated and evolved during its global spread. Individual patients may host different versions, or variants, of the virus, hallmarked by different mutations. We examine the diversity of genetic variants coexisting within patients across a cohort of 3939 publicly accessible samples and 749 recently sequenced samples from Switzerland. We find that a small number of patients carry most of the diversity, and that patients with more diversity tend to be older. We also find that most of the diversity is concentrated in certain regions and positions of the virus genome. In particular, we find that a variant reported to increase infectivity is among the most diverse positions. Our study provides a large-scale survey of within-patient diversity of the SARS-CoV-2 genome.

genomics↗