Biology subjects

Brennan, F.

Publications and source records attributed to Brennan, F..

10 recordsLinked to original sources

bioRxiv2026

A Novel Plasmid-Encoded Mobile Colistin Resistance Gene mcr-13.1 Detected in Escherichia coli Isolated from Grassland.

Plasmid-encoded mobile colistin resistance (mcr) genes have raised concern due to dissemination potential. While mcr variants are reported across One Health compartments, they remain unreported in grass. This study characterises a novel mcr variant (mcr-13.1), detected in Escherichia coli isolated from the grass phylosphere within an agricultural grassland. The two mcr-positive isolates were clonal copies isolated at timepoints eight weeks apart. They belonged to the serotype O17:H18 and were of the sequence type ST394. The E. coli were phenotypically susceptible to {beta}-lactams, aminoglycosides, quinolones, sulphonamides, phenicols, tetracyclines, diaminopyrimidine and colistin (Minimum Inhibitory Concentration (MIC) = 0.5 {micro}g/mL). The mcr-13.1 gene was encoded on an IncFIB plasmid. This plasmid was transferable by conjugation but the colistin MIC of the E. coli J53 transconjugant did not change (0.5 {micro}g/mL). Further, cloned pUC19::mcr-13.1 did not alter the colistin MIC for E. coli DH5 (0.25 {micro}g/mL). The translated amino acid sequence showed highest homology (82 %) to MCR-10.2 and MCR-10.4. Our findings identify grass as a previously unrecognised reservoir for E. coli carrying mobile mcr genes, reports the identification of the novel mcr-13.1 variant from this niche and demonstrates the importance of genomic screening in identifying mcr genes that would otherwise remain undetected.

microbiology↗

bioRxiv2025

Evaluation of combined root exudate and rhizosphere microbiota sampling approaches to elucidate plant-soil-microbe interaction

O_LIDeciphering the root exudate-driven interplay between plants and the rhizosphere microbiota is essential for understanding plant adaptation to the environment and future-proofing crop production. However, sampling root exudates and rhizosphere soil remains challenging due to the low throughput and destructive nature of the process. C_LIO_LIWe used the staple crop barley [Hordeum vulgare] as a model to benchmark different sampling approaches for simultaneous exudation and microbiota profiling of soil-grown plants. C_LIO_LIExudate profiles and total dissolved organic carbon exudation rates were consistent across different sampling approaches, whereas root biomass, root morphology measurements, and organic nitrogen exudation varied. C_LIO_LIHigh-throughput amplicon sequencing and quantitative PCR (qPCR) of phylogenetic markers and nitrogen cycle-selected genes revealed a protocol-specific footprint in the composition and abundance of rhizosphere bacterial and fungal microbiota. Yet, on average, 75% of microbes enriched in, and differentiating between, barley rhizosphere and unplanted soil controls were recovered across all the sampling approaches evaluated. C_LIO_LIOur results demonstrated that, under the tested conditions, different sampling approaches produced comparable microbiota and exudation patterns, enabling the integrated study of root exudation and microbial profiles from the same plant. The observed differences across sampling approaches must be considered according to the experimental scope. C_LI

plant biology↗

bioRxiv2025

Multi-omics and biochemical reconstitution reveal CDK7-dependent mechanisms controlling RNA polymerase II function at gene 5'- and 3'-ends

CDK7 regulates RNA polymerase II (RNAPII) initiation, elongation, and termination through incompletely understood mechanisms. Because contaminating kinases precluded CDK7 analysis with nuclear extracts, we completed biochemical assays with purified factors. Reconstitution of RNAPII transcription initiation showed CDK7 inhibition slowed and/or paused RNAPII promoter-proximal transcription, which reduced re-initiation. These CDK7-regulatory functions were Mediator- and TFIID-dependent. Similarly in human cells, CDK7 inhibition reduced transcription by suppressing RNAPII activity at promoters, consistent with reduced initiation and/or re-initiation. Moreover, widespread 3-end readthrough transcription was observed in CDK7-inhibited cells; mechanistically, this occurred through rapid nuclear depletion of RNAPII elongation and termination factors, including high-confidence CDK7 targets. Collectively, these results define how CDK7 governs RNAPII function at gene 5-ends and 3-ends, and reveal that nuclear abundance of elongation and termination factors is kinase-dependent. Because 3-readthrough transcription is commonly induced during stress, our results further suggest regulated suppression of CDK7 activity may enable this RNAPII transcriptional response.

biochemistry↗

bioRxiv2024

Genomic analysis of antimicrobial resistant Escherichia coli isolated from manure and manured agricultural grasslands

Antimicrobial resistance (AMR) is a multifactorial issue involving an intertwining relationship between animals, humans and the environment. The environment can harbour bacteria that are pathogenic to human health, including Escherichia coli, an indicator of environmental faecal contamination. Through culture dependent approaches this study identified 46 E. coli isolates in porcine and bovine manure, non-manured and manured soil, and the phyllosphere of manured grass. The grass isolation highlights grass as an environmental reservoir for E. coli. Whole genome sequencing identified 11 different multi-locus sequence types. We also identified a diverse plasmidome with 23 different plasmid replicon types. The E. coli isolates were phenotypically antibiotic resistance, predominantly multidrug resistant. Additionally, whole genome sequencing identified 31 antibiotic resistance genes, and mutations in the gyrA, parC, and parE genes, conferring fluoroquinolone resistance. The main virulence genes were associated actin mediated locomotion (icsP/sopA), siderophore production and alginate production (algA), which suggest adaptation to survive in the non-gut environment or the UV environment of grass surfaces. These results suggest that E. coli in soils and grasses may adapt to their new environments evolving novel strategies. This study demonstrates grass as an understudied environmental niche of AMR E. coli, which directly links the environment to the grass grazing animal and vice-versa via the circular economy of manure application. Impact statementEscherichia coli is capable of surviving across biomes within One Health. This study sheds light on the genomic elements present in AMR E. coli in the understudied niche of agricultural grassland. Data summaryThe genome sequences have been deposited in Genbank. Bioproject number PRJNA1080214 and SRP491607 in the sequence read archive https://www.ncbi.nlm.nih.gov/sra/?term=SRP491607.

microbiology↗

bioRxiv2023

Community structure of known and previously unknown endobacteria associated with spores of arbuscular mycorrhizal fungi.

Arbuscular mycorrhizal fungi (AMF) are ubiquitous plant root symbionts which can house two endobacteria: Ca. Moeniiplasma glomeromycotorum (CaMg) and Ca. Glomeribacter gigasporarum (CaGg). However, little is known about their distribution and population structure in natural AMF populations and whether AMF can harbour other endobacteria. We isolated AMF from two environments and surveyed the surface-sterilized spores for endobacteria. We found that CaMg and CaGg differed significantly in distribution whereby CaMg were extremely abundant (80%) and CaGg were extremely rare (2%) in both environments. Unexpectedly, we discovered an additional and previously unknown level of bacterial diversity within AMF spores which extended beyond the known endosymbionts, with as many as 277 other bacterial taxa detected in individual spores. Detailed analysis of endobacterial communities inside AMF spores revealed that: (i)CaGg were not limited in distribution to the Gigasporacea family of AMF, as previously thought, (ii) CaMg community structure was driven by AMF host genotype, (iii) a significant inverse correlation existed between the diversity of CaMg and diversity of all other endobacteria. The latter suggests the existence of competition dynamics between different bacterial populations inside AMF spores and provides a basis for generation of testable hypotheses regarding the function of CaMg in AMF biology.

microbiology↗

bioRxiv2022

Data based slurry treatment decision tree to minimize antibiotic resistance and pathogen transfer while maximizing nutrient recycling

Direct application of pig slurry to agricultural land, as a means of nutrient recycling, introduces pathogens, antibiotic resistant bacteria, or genes, to the environment. With global environmental sustainability policies mandating a reduction in synthetic fertilisation and a commitment to a circular economy it is imperative to find effective on-farm treatments of slurry that maximises its fertilisation value and minimises risk to health and the environment. We assessed and compared the effect of storage, composting, and anaerobic digestion on pig slurry microbiome, resistome and nutrient content. Shotgun metagenomic sequencing and HT-qPCR arrays were implemented to understand the dynamics across the treatments. Our results identified that each of the treatment methods had advantages and disadvantages, depending on the parameter measured. The data suggests that storage and composting are optimal for the removal of human pathogens and anaerobic digestion for the reduction in AMR genes and mobile genetic elements. The nitrogen content is increased in storage and AD and reduced in composting. Thus, depending on the requirement for increased or reduced nitrogen the optimum treatment varies. Combining the results indicates that composting provides the greatest gain by reducing risk to human health and the environment. Network analysis revealed reducing Proteobacteria and Bacteroidetes while increasing Firmicutes will reduce the AMR content. KEGG analysis identified no significant change in the pathways across all treatments. This novel study provides a data driven decision tree to determine the optimal treatment for best practice to minimise pathogen, AMR and excess or increasing nutrient transfer from slurry to environment. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/481976v1_ufig1.gif" ALT="Figure 1"> View larger version (20K): org.highwire.dtl.DTLVardef@141af73org.highwire.dtl.DTLVardef@165bf42org.highwire.dtl.DTLVardef@ef86c5org.highwire.dtl.DTLVardef@1790fca_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2021

Mining underutilized whole-genome sequencing projects to improve 16S rRNA databases

Current approaches to interpreting 16S rDNA amplicon data are hampered by several factors. Among these are database inaccuracy or incompleteness, sequencing error, and biased DNA/RNA extraction. Existing 16S rRNA databases source the majority of sequences from deposited amplicon sequences, draft genomes, and complete genomes. Most of the draft genomes available are assembled from short reads. However, repeated ribosomal regions are notoriously difficult to assemble well from short reads, and as a consequence the short-read-assembled 16S rDNA region may be an amalgamation of different loci within the genome. This complicates high-resolution community analysis, as a draft genomes 16S rDNA sequence may be a chimera of multiple loci; in such cases, the draft-derived sequences in a database may not represent a 16S rRNA sequence as it occurs in biology. We present Focus16, a pipeline for improving 16S rRNA databases by mining NCBIs Sequence Read Archive for whole-genome sequencing runs that could be reassembled to yield additional 16S rRNA sequences. Using riboSeed (a genome assembly tool for correcting rDNA misassembly), Focus16 provides a way to augment 16S rRNA databases with high-quality re-assembled sequences. In this study, we augmented the widely-used SILVA 16S rRNA database with the novel sequences disclosed by Focus16 and re-processed amplicon sequences from several benchmarking datasets with DADA2. Using this augmented SILVA database increased the number of amplicon sequence variants that could be assigned taxonomic annotations. Further, fine-scale classification was improved by revealing ambiguities. We observed, for example, that amplicon sequence variants (ASVs) may be assigned to a specific genus where Focus16-correction would indicate that the ASV is represented in two or more genera. Thus, we demonstrate that improvements can be made to taxonomic classification by incorporating these carefully re-assembled 16S rRNA sequences, and we invite the community to expand our work to augment existing 16S rRNA reference databases such as SILVA, GreenGenes, and RDP.

bioinformatics↗

bioRxiv2019

Relating growth potential and biofilm formation of Shigatoxigenic Escherichia coli to in planta colonisation and the metabolome of ready- to-eat crops

Contamination of fresh produce with pathogenic Escherichia coli, including Shigatoxigenic E. coli (STEC), represents a serious risk to human health. Colonisation is governed by multiple bacterial and plant factors that can impact on the probability and suitability of bacterial growth. Thus, we aimed to determine whether the growth potential of STEC for plants associated with foodborne outbreaks (two leafy vegetables and two sprouted seed species), is predictive for colonisation of living plants as assessed from growth kinetics and biofilm formation in plant extracts. Fitness of STEC was compared to environmental E. coli, at temperatures relevant to plant growth. Growth kinetics in plant extracts varied in a plant-dependent and isolate-dependent manner for all isolates, with spinach leaf lysates supporting the fastest rates of growth. Spinach extracts also supported the highest levels of biofilm formation. Saccharides were identified as the major driver of bacterial growth, although no single metabolite could be correlated with growth kinetics. The highest level of in planta colonisation occurred on alfalfa sprouts, though internalisation was 10-times more prevalent in the leafy vegetables than in sprouted seeds. Marked differences in in planta growth meant that growth potential could only be inferred for STEC for sprouted seeds. In contrast, biofilm formation in extracts related to spinach colonisation. Overall, the capacity of E. coli to colonise, grow and internalise within plants or plant-derived matrices were influenced by the isolate type, plant species, plant tissue type and temperature, complicating any straight-forward relationship between in vitro and in planta behaviours.\n\nImportanceFresh produce is an important vehicle for STEC transmission and experimental evidence shows that STEC can colonise plants as secondary hosts, but differences in the capacity to colonise occur between different plant species and tissues. Therefore, an understanding of the impact of these plant factors have on the ability of STEC to grow and establish is required for food safety considerations and risk assessment. Here, we determined whether growth and the ability of STEC to form biofilms in plants extracts could be related to specific plant metabolites or could predict the ability of the bacteria to colonise living plants. Growth rates for sprouted seeds (alfalfa and fenugreek) exhibited a positive relationship between plant extracts and living plants, but not for leafy vegetables (lettuce and spinach). Therefore, the detailed variations at the level of the bacterial isolate, plant species and tissue type all need to be considered in risk assessment.

microbiology↗

bioRxiv2018

Easily phylotyping E. coli via the EzClermont web app and command-line tool.

The Clermont PCR method of phylotyping Escherichia coli has remained a useful classification scheme despite the proliferation of higher-resolution sequence typing schemes. We have implemented an in silico Clermont PCR method as both a web app and as a command-line tool to allow researchers to easily apply this phylotyping scheme to genome assemblies easily. Availability and ImplementationEzClermont is available as a web app at http://www.ezclermont.org. For local use, EzClermont can be installed with pip or installed from the source code at https://github.com/nickp60/ezclermont. All analysis was done with version 0.4.0. Contactn.waters4@nuigalway.ie, leighton.pritchard@strath.ac.uk Supplementary informationTable S1: test dataset; S2: validation dataset; S3: results.

bioinformatics↗

bioRxiv2017

riboSeed: leveraging prokaryotic genomic architecture to assemble across ribosomal regions

The vast majority of bacterial genome sequencing has been performed using Illumina short reads. Because of the inherent difficulty of resolving repeated regions with short reads alone, only {approx}10% of sequencing projects have resulted in a closed genome. The most common repeated regions are those coding for ribosomal operons (rDNAs), which occur in a bacterial genome between 1 and 15 times, and are typically used as sequence markers to classify and identify bacteria. Here, we exploit conservation in the genomic context in which rDNAs occur across taxa to improve assembly of these regions relative to de novo sequencing by using the conserved nature of rDNAs across taxa and the uniqueness of their flanking regions within a genome. We describe a method to construct targeted pseudocontigs generated by iteratively assembling reads that map to a reference genomes rDNAs. These pseudocontigs are then used to more accurately assemble the newly-sequenced chromosome. We show that this method, implemented as riboSeed, correctly bridges across adjacent contigs in bacterial genome assembly and, when used in conjunction with other genome polishing tools, can assist in closure of a genome.

bioinformatics↗