Biology subjects

Whelan, F. J.

Publications and source records attributed to Whelan, F. J..

7 recordsLinked to original sources

bioRxiv2026

The effect of environmental variation on the diversity and composition of the three-spined stickleback microbiome

The fish skin microbiome serves as a protective barrier, influencing host health and facilitating interactions between the host and its environment. While several studies have characterised the composition and roles of the fish skin microbiome, there remains a paucity of data on how environmental variation influences these microbes in natural populations. Here, we used 16S rRNA gene sequencing to characterise the skin microbiome of wild three-spined stickleback populations and examine how environmental factors influence microbial diversity and community composition across 17 freshwater lochs on the island of North Uist, Scotland. Analysis of 239 samples revealed a set of dominant bacterial genera commonly associated with other fish species, including Janthinobacterium, Pseudomonas, Acinetobacter, and Psychrobacter, that constituted a core skin microbiota across lochs. Microbiome composition was primarily shaped by environmental variables, particularly habitat, water pH, conductivity, and metal concentrations, with pH emerging as a key driver of community structure. Host sex also influenced microbiome variation, with several taxa differing in relative abundance between males and females. Alpha-diversity was higher among stickleback fish from lochs with a neutral pH compared with those from alkaline and acidic environments. Differential abundance analyses identified 27 and 24 amplicon sequence variants (ASVs), respectfully, associated with variations in pH and host sex, including members of Psychrobacter, Sphingobacterium, Carnobacterium, Chryseobacterium, and Arthrobacter, highlighting the combined influence of environmental and host factors on microbiome composition in wild fish populations in freshwater environments.

microbiology↗

bioRxiv2025

Identifying rare spontaneous mutations through wildtype E. coli population sequencing

Understanding the rate and types of mutations occurring in different populations is fundamental to our ability to predict and potentially manipulate evolution. Common techniques for microbial mutation rate estimation fall into 2 camps; rapid, locus specific, generally liquid-culture based fluctuation assays; and slow, genome-wide, generally solid-culture based mutation accumulation experiments. This constrains the hypotheses which can be tested, notably the mutagenic effects of liquid environments cannot be rapidly quantified at a genome-wide scale. One example of such effect is the negative association previously observed between population density and mutation rates at many marker loci using the fluctuation assay. Because homogeneous population density is specifically relevant in liquid culture, this association has not been tested at a truly genome-wide scale. We fill this methodological gap by developing a novel pipeline that relies on population sequencing to capture how mutation rates are affected by population density in liquid cultures. We simulate expected mutation counts in a growing population along with random sampling during sequencing to estimate the necessary sequencing coverage as [≥]1,000-fold. We then carry out PCR-free sequencing of 95 wildtype E. coli populations at this coverage, calling rare variants with both reference-based and reference-free methods. These variant-calling methods are prone to different sources of error which can be minimised by considering only mutations called by both pipelines. This approach identifies 119 mutations across all cultures, with (non)coding/(non)synonymous and mutational spectrum profiles consistent with being samples of spontaneous mutation unbiased by selection. The distribution of these mutations also supports the motivating hypothesis, finding that mutation counts across the genome are strongly negatively associated with population density. This demonstrates the utility of population sequencing for the rapid testing of many previously inaccessible evolutionary biology hypotheses.

evolutionary biology↗

bioRxiv2024

Detecting microbial engraftment after FMT: sorting signals from noise using placebo sequencing and culture-enriched metagenomics

Fecal microbiota transplantation (FMT) has shown efficacy for the treatment of ulcerative colitis but with variable response between patients and trials. The mechanisms underlying FMTs therapeutic effects remains poorly understood but is generally assumed to involve engraftment of donor microbiota into the recipients microbiome. Previous studies have reported microbial engraftment following FMT in various disease contexts but with inconsistent results between studies. Here we investigate engraftment in UC patients receiving FMT from a single donor applying amplicon-based profiling, shotgun metagenomics and culture-enriched metagenomics. Placebo samples were included to estimate engraftment noise, and a significant level of false-positive engraftment was observed which confounds the prediction of true engraftment. We show that analyzing engraftment across multiple patients from a single donor enhances the accuracy of detection. We identified a unique set of genes engrafted in responders to FMT which supports strain displacement as the primary mechanism of engraftment in our cohort.

microbiology↗

bioRxiv2023

Bursts of novel composite gene families at major nodes in animal evolution

A molecular level perspective on how novel phenotypes evolve is contingent on our understanding of how genomes evolve through time, and of particular interest is how novel elements emerge or are lost. Mechanisms of protein evolution such as gene duplication have been well established. Studies of gene fusion events show they often generate novel functions and adaptive benefits. Identifying gene fusion and fission events on a genome scale allows us to establish the mode and tempo of emergence of composite genes across the animal tree of life, and allows us to test the repeatability of evolution in terms of determining how often composite genes can arise independently. Here we show that [~]5% of all animal gene families are composite, and their phylogenetic distribution suggests an abrupt, rather than gradual, emergence during animal evolution. We find that gene fusion occurs at a higher rate than fission (73.3% vs 25.4%) in animal composite genes, but many gene fusions (79% of the 73.3%) have more complex patterns including subsequent fission or loss. We demonstrate that nodes such as Bilateria, Euteleostomi, and Eutheria, have significantly higher rates of accumulation of composite genes. We observe that in general deuterostomes have a greater amount of composite genes as compared to protostomes. Intriguingly, up to 41% of composite gene families have evolved independently in different clades showing that the same solutions to protein innovation have evolved time and again in animals. Significance statementNew genes emerge and are lost from genomes over time. Mechanisms that can produce new genes include, but are not limited to, gene duplication, retrotransposition, de novo gene genesis, and gene fusion/fission. In this work, we show that new genes formed by fusing distinct homologous gene families together comprise a significant portion of the animal proteome. Their pattern of emergence through time is not gradual throughout the animal phylogeny - it is intensified on nodes of major transition in animal phylogeny. Interestingly, we see that evolution replays the tape frequently in these genes with 41% of gene fusion/fission events occurring independently throughout animal evolution.

evolutionary biology↗

bioRxiv2021

Gene-gene relationships in an Escherichia coli accessory genome are linked to function and mobility

The pangenome contains all genes encoded by a species, with the core genome present in all strains and the accessory genome in only a subset. Coincident gene relationships are expected within the accessory genome, where the presence or absence of one gene is influenced by the presence or absence of another. Here, we analysed the accessory genome of an Escherichia coli pangenome consisting of 400 genomes from 20 sequence types to identify genes that display significant co-occurrence or avoidance patterns with one another. We present a complex network of genes that are either found together or that avoid one another more often than would be expected by chance, and show that these relationships vary by lineage. We demonstrate that genes co-occur by function, and that several highly connected gene relationships are linked to mobile genetic elements. We find that genes are more likely to co-occur with, rather than avoid, another gene, suggesting that cooperation is more common than conflict in the accessory genome. This work furthers our understanding of the dynamic nature of prokaryote pangenomes and implicates both function and mobility as drivers of gene relationships. Data summaryAll Supplementary Data files and the Python scripts used in the analyses are available at doi.org/10.17639/nott.7103. Impact statementThe pangenome of a species encompasses the core genes encoded by all genomes, as well as the accessory genes found in only a subset. Much remains to be understood about the relationships and interactions between accessory genes; in particular, what drives pairs of genes to appear together in the same genome, or what prevents them from being in the same genome together, more often than expected by chance. How these co-occurrence and avoidance relationships develop, and what effect they have on the dynamics and evolution of the pangenome as a whole, is largely unknown. Here, we present a springboard for understanding prokaryote pangenome evolution by uncovering significant gene relationships in a model Escherichia coli pangenome. We identify mobile genetic elements and the sharing of common function as possible driving forces behind the co-occurrence of accessory genes. Furthermore, this work offers an extensive dataset from which gene relationships could be identified for any gene of interest in this E. coli accessory genome, providing a rich resource for the community.

evolutionary biology↗

bioRxiv2020

Evidence for selection in a prokaryote pangenome

A pangenome is the complete set of genes (core and accessory) present in a phylogenetic clade. We hypothesize that a pangenomes accessory gene content is structured and maintained by selection. To test this hypothesis, we interrogated the genomes of 40 Pseudomonas genomes for statistically significant coincident (i.e. co-occurring/avoiding) gene patterns. We found that 86.7% of common accessory genes are involved in [≥]1 coincident relationship. Further, genes that co-occur and/or avoid each other - but are not vertically or horizontally co-inherited - are more likely to share Gene Ontology categories, are more likely to be simultaneously transcribed, and are more likely to produce interacting proteins, than would be expected by chance. These results are not due to coincident genes being adjacent to one another on the chromosome. Together, these findings suggest that the accessory genome is structured into interacting sets of genes co-selected to function together within a given strain. Given the simi larity of the Pseudomonas pangenome with open pangenomes of other prokaryotic species, we speculate that these results are generalizable.

microbiology↗

bioRxiv2019

Coinfinder: Detecting Significant Associations and Dissociations in Pangenomes

2.The accessory genes of prokaryote and eukaryote pangenomes accumulate by horizontal gene transfer, differential gene loss, and the effects of selection and drift. We have developed Coinfinder, a software program that assesses whether sets of homologous genes (gene families) in pangenomes associate or dissociate with each other (i.e. are "coincident") more often than would be expected by chance. Coinfinder employs a user-supplied phylogenetic tree in order to assess the lineage-dependence (i.e. the phylogenetic distribution) of each accessory gene, allowing Coinfinder to focus on coincident gene pairs whose joint presence is not simply because they happened to appear in the same clade, but rather that they tend to appear together more often than expected across the phylogeny. Coinfinder is implemented in C++, Python3, and R and is freely available under the GPU license from https://github.com/fwhelan/coinfinder. 3. Impact statementCoinfinder identifies genes that co-occur (associate) or avoid (dissociate) with each other across the accessory genomes of a pangenome of interest. Genes that associate or dissociate more often than expected by chance, suggests that those genes have a connection (attraction or repulsion) that is interesting to explore. Identification of these groups of genes will further the fields understanding of the importance of accessory genes. Coinfinder is a freely available, open-source software which can identify gene patterns locally on a personal computer in a matter of hours. 4. Data summaryO_LICoinfinder is freely available at https://github.com/fwhelan/coinfinder. C_LIO_LIA list of the Identifiers of the genomes used within as well as all input/output files are available at https://github.com/fwhelan/coinfinder-manuscript. C_LI The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

microbiology↗