Biology subjects

Feil, E.

Publications and source records attributed to Feil, E..

10 recordsLinked to original sources

bioRxiv2026

Expression-dependent but strand-independent synonymous single-nucleotide polymorphism in the Escherichia coli chromosome

AbstractMutation in genomes is mainly attributed to replication, though transcription is also known to be mutagenic and is a more frequent event than replication in an organism. Recently, there have been reports regarding genome-wide transcription-induced mutagenesis. However, a distinct demonstration of specific mutation being replication-dependent and/or transcription-dependent in genomes is yet to be established. Here, we studied synonymous single-nucleotide polymorphisms (SNPs) in 2091 individual coding sequences (CDS) in the leading strand (LeS) and the lagging strand (LaS) of the Escherichia coli chromosome by comparing across 157 strains. The frequencies of complementary transitions (ti) and complementary transversions (tv) were compared in each CDS to assess parity violation in the context of strand location and gene expression. The C[->]T and G[->]A exhibited the maximum frequency as well as the most prominent strand inequality as these tis were influenced both by the strand location as well as by the gene expression. Interestingly, inequality between T[->]C and A[->]G was expression-dependent but strand-independent. This was a direct demonstration of strand inequality due to expression but not due to replication. A[->]T and G[->]T tvs were universally more frequent than their complementary T[->]A and C[->]A, respectively. The strand-independent but expression-dependent synonymous SNP inequality in CDS, supports the role of transcription-induced mutagenesis contributing to strand inequality in the E. coli chromosome. Significance StatementMutational patterns in bacterial genomes are shaped by both replication and transcription, but their relative roles remain unclear. By analyzing synonymous SNPs across 157 strains of E. coli, we identify strong strand-specific asymmetry consistent with replication-associated biases. A strong asymmetry between the strands regarding C[->]T and G[->]A ti is observed, as it is influenced by replication asymmetry and expression. We further show that gene expression significantly influences mutation types, with T[->]C ti being enriched in the highly expressed genes and A[->]G ti being enriched in the lowly expressed genes. Notably, A[->]T ti is strand independent but exhibits mild dependency on gene expression, revealing a previously unrecognized mutational pattern. These findings highlight how some SNPs are influenced by transcription but not replication

evolutionary biology↗

bioRxiv2025

Common non-antibiotic drugs enhance selection for antimicrobial resistance in mixture with ciprofloxacin

Antimicrobial resistance (AMR) is a major health concern, and a range of antibiotic and non-antibiotic agents can select for AMR across a range of concentrations. Selection for AMR is often investigated using single compounds, however, in the natural environment and the human body, pharmaceuticals will be present as mixtures, including both non-antibiotic drugs (NADs), and antibiotics. Here, we assessed the effects of one of three NADs in combination with ciprofloxacin, a commonly used antibiotic that is often found at concentrations in global freshwaters sufficiently high to select for AMR. We used a combination of growth assays and qPCR to determine selective concentrations of mixtures and used metagenome sequencing to identify changes to the resistome and community composition. The selective concentration of ciprofloxacin was reduced from 40{micro}g/L to 10{micro}g/L in the mixtures, and mixtures showed a stronger selection for some AMR genes such as tolC and qnrB. The communities exposed to the mixtures also showed changed community compositions. These results demonstrate that NADs and ciprofloxacin are more selective than ciprofloxacin alone, and these mixtures can cause distinct changes to the community composition. This indicates that future work should consider combinations of antibiotics and NADs as drivers of AMR when considering its maintenance and acquisition.

microbiology↗

bioRxiv2024

Antimicrobial effects, and selection for AMR by non-antibiotic drugs on bacterial communities

Antimicrobial resistance (AMR) is a major threat to human, veterinary, and agricultural health. AMR can be directly selected for by antibiotics, and indirectly co-selected for by biocides and metals. Some evidence suggests that non-antibiotic drugs (NADs) can co-select for AMR, but previous work focused on exposing single model bacterial species to predominately high concentrations of NADs. Here, we determined the antimicrobial effect and selective potential of three commonly used NADs against a complex bacterial community using a combination of culture based, metagenomic, and metratranscriptomic approaches. We found that three of five NADs tested on growth significantly reduced growth of a bacterial community, although only one (17-{beta}-estradiol) selected for an AMR marker using qPCR. Whole metagenome sequencing indicated that there was no clear strong selection by NADs for antibiotic resistance genes, nor effects on community composition. However, some changes in relative abundance of metal resistance genes were observed after exposure to diclofenac, metformin, and 17-{beta}-estradiol. Together, these results indicate that the NADs tested likely do not strongly select for AMR at both clinically and environmentally relevant concentrations.

microbiology↗

bioRxiv2022

Codon degeneracy as well as pretermination codons influence transition to transversion ratio in coding sequences

Transition (ti) and transversion (tv) are the major causes for genome variation. The accurate estimation of ti to tv ratio [Formula] in genomes is crucial for understanding of mutational and selection processes in organisms as it is influenced by both codon degeneracy and pretermination codons (PTC). Therefore, we developed a method (accessible at https://github.com/CBBILAB/CBBI.git) to estimate [Formula] ratio by accounting codon degeneracy as well as PTC in protein coding sequences. Our findings revealed a distinct impact of codon degeneracy and PTC on the [Formula] ratio in the Escherichia coli genome. We observed a decreasing order among the frequencies of different base substitutions such as synonymous transition (Sti) > synonymous transversion (Stv) > non-synonymous transition (Nti) > non-synonymous transversion (Ntv) in E. coli genome. The correlation was strong between Sti and Stv values (Pearson r value 0.795) whereas the correlation was weak between Sti and Nti (Pearson r value 0.192). Coding sequences with similar Sti values exhibited a wide range of Nti values. This indicated the varying strength of purifying selection acting on the coding sequences. In concordance with the assumption, the genes having higher Nti values were observed with lower codon adaptation index (CAI) values than that of the genes having lower Nti values. Our approach is convenient to visualize the frequency of base substitution variation as well as selection in protein coding sequences. The proposed method is useful to estimate different [Formula] ratios accurately in coding sequences and is insightful from an evolutionary perspective. Article SummaryGenetic diversity is pivotal in evolution, with base substitution as a key driver. Transition (ti) frequency surpasses transversion (tv) frequency in genomes, making [Formula] ratios a valuable metric for studying mutation bias. Our improved estimator for [Formula] calculation accounts for codon degeneracy and nonsense substitutions in pretermination codons. Additionally, we unveil insights into the frequency of different substitutions such as Sti, Stv, Nti, and Ntv and demonstrate the impact of selection on protein coding sequences.

evolutionary biology↗

bioRxiv2022

Modified dN/dS for accounting transition and transversion frequency difference and non-sense substitution in genomes

The dN/dS value is estimated in homologous protein coding gene sequences between two closely related organisms for studying selection on the genes. In the usual method of calculation of synonymous (S) and non-synonymous (NS) sites in codons, the transition and transversion rates are considered same as well as no difference of pretermination codons from the other codons regarding NS substitutions is considered. In this study we are proposing a modification in the method by estimating the S and the NS sites in codons by considering difference between the transition and transversion rates and the NS substitutions leading to non-sense codons in pretermination codons. So, the dN/dS value calculated by our approach was higher than that calculated by the earlier method. The modified method was applied in estimating dN/dS in 29 homologous gene sequences of Escherichia coli and Salmonella enterica. Impact of codon degeneracy and pretermination codons on the dN/dS values estimated by our method were observed clearly. Our method of estimation that considers the above features is a realistic representation of dN/dS values in coding sequences.

evolutionary biology↗

bioRxiv2018

Rapid statistical methods for inferring intra- and inter-hospital transmission of nosocomial pathogens from whole genome sequence data

Whole genome sequence (WGS) data for bacterial pathogens can provide evidence as to the source of nosocomial infection, and more specifically the ability to distinguish between intra- and inter-hospital transmission. This is currently achieved either through using SNP thresholds, which can lack statistical robustness, or by constructing phylogenetic trees, which can be computationally expensive and difficult to interpret. Here we compare two alternative statistical approaches using 1022 genomes of methicillin resistant Staphylococcus aureus (MRSA) clone ST22. In 71% of cases both methods predict the same hospital origin, which is also supported by the ML tree. Robust assignments are divided approximately equally between intra-hospital transmission and inter-hospital transmission. Our approaches are rapid and produce intuitive output that could inform on immediate infection control priorities, as well as providing long-term data on inter-hospital transmission networks. We discuss the strengths and weakness of our methods, and the generalisability of this approach.\n\nOne Sentence SummaryWe present rapid statistical methods for distinguishing intra- versus inter-hospital transmission of bacterial pathogens using whole genome sequence data; these methods do not require the use of SNP thresholds or the generation and interpretation of phylogenetic trees.

epidemiology↗

bioRxiv2018

Recent mixing of Vibrio parahaemolyticus populations

BackgroundHumans have profoundly affected the ocean environment but little is known about anthropogenic effects on the distribution of microbes. Vibrio parahaemolyticus is found in warm coastal waters and causes gastroenteritis in humans and economically significant disease in shrimps.\n\nResultsBased on data from 1,103 genomes, we show that V. parahaemolyticus is divided into four diverse populations, VppUS1, VppUS2, VppX and VppAsia. The first two are largely restricted to the US and Northern Europe, while the others are found worldwide, with VppAsia making up the great majority of isolates in the seas around Asia. Patterns of diversity within and between the populations are consistent with them having arisen by progressive divergence via genetic drift during geographical isolation. However, we find that there is substantial overlap in their current distribution. These observations can be reconciled without requiring genetic barriers to exchange between populations if dispersal between oceans has increased dramatically in the recent past. We found that VppAsia isolates from the US have an average of 1.01% more shared ancestry with VppUS1 and VppUS2 isolates than VppAsia isolates from Asia itself. Based on time calibrated trees of divergence within epidemic lineages, we estimate that recombination affects about 0.017% of the genome per year, implying that the genetic mixture has taken place within the last few decades.\n\nConclusionsThese results suggest that human activity, such as shipping and aquatic products trade, are responsible for the change of distribution pattern of this marine species.

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

Gene composition as a potential barrier to large recombinations in the bacterial pathogen Klebsiella pneumoniae

Klebsiella pneumoniae (Kp) is one of the most important nosocomial pathogens world-wide, being responsible for frequent hospital outbreaks and causing sepsis and multi-organ infections with a high mortality rate and frequent hospital outbreaks. The most prevalent and widely disseminated lineage of K. pneumoniae is clonal group 258 (CG258), which includes the highly resistant \"high-risk\" genotypes ST258 and ST11. Recent studies revealed that very large recombination events have occurred during the recent emergence of Kp lineages. A striking example is provided by ST258, which has undergone a recombination event that replaced over 1 Mb of the genome with DNA from an unrelated Kp donor. Although several examples of this phenomenon have been documented in Kp and other bacterial species, the significance of these very large recombination events for the emergence of either hyper-virulent or resistant clones remains unclear. Here we present an analysis of 834 Kp genomes that provides data on the frequency of these very large recombination events (defined as those involving >100Kb), their distribution within the genome, and the dynamics of gene flow within the Kp population. We note that very large recombination events occur frequently, and in multiple lineages, and that the majority of recombinational exchanges are clustered within two overlapping genomic regions, which result to be involved by recombination events with different frequencies. Our results also indicate that certain non-CG258 lineages are more likely to act as donors to CG258 recipients than others. Furthermore, comparison of gene content in CG258 and non-CG258 strains agrees with this pattern, suggesting that the success of a large recombination depends on gene composition in the exchanged genomic portion.\n\nAuthor SummaryKlebsiella pneumoniae (Kp) is an opportunistic bacterial pathogen, a major cause of deadly infections and outbreaks in hospitals worldwide. This bacterium is able to exchange large genomic portions (up to a fourth of the entire genome) within a single recombination event. Indeed, the most epidemiologically important Kp clone, is actually a hybrid which emerged after a > 1Mb recombination event. In this work, we investigated how recombinations affected the evolution of the most studied Kp Clonal Group, CG258. We found that large recombinations occurred frequently during Kp evolution, and occurred preferentially in a well-delimited genomic region. Furthermore, we found that four epidemiologically important clones emerged after large recombinations. We identified the donors of several large recombinations: despite many Kp lineages acted as donors during CG258 evolution, two of them have been involved more frequently. We hypothesize that the observed pattern of donors-recipients in recombinations, and the presence of a large recombinogenic region in Kp genome, could be related to gene composition. Indeed, genomic analyses showed a pattern compatible with this hypothesis, suggesting that gene content can represent a main factor in the success of a large recombination.

evolutionary biology↗

bioRxiv2017

The Distribution of Bacterial Doubling Times in the Wild

Generation time varies widely across organisms and is an important factor in the life cycle, life history and evolution of organisms. Although the doubling time (DT), has been estimated for many bacteria in the lab, it is nearly impossible to directly measure it in the natural environment. However, an estimate can be obtained by measuring the rate at which bacteria accumulate mutations per year in the wild and the rate at which they mutate per generation in the lab. If we assume the mutation rate per generation is the same in the wild and in the lab, and that all mutations in the wild are neutral, an assumption that we show is not very important, then an estimate of the DT can be obtained by dividing the latter by the former. We estimate the DT for four species of bacteria for which we have both an accumulation and a mutation rate estimate. We also infer the distribution of DTs across all bacteria from the distribution of the accumulation and mutation rates. Both analyses suggest that DTs for bacteria in the wild are substantially greater than those in the lab, that they vary by orders of magnitude between different species of bacteria and that a substantial fraction of bacteria double very slowly in the wild.

microbiology↗