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Christopher J Creevey

Publications and source records attributed to Christopher J Creevey.

10 recordsLinked to original sources

Whole-Genome Sequencing Uncovers Chromosomal and Plasmid-Borne Multidrug Resistance and Virulence Genes in Poultry-Associated Escherichia coli from Nigeria.

BACKGROUND: Broad and unregulated antibiotic use in livestock production, particularly poultry farming, has increased the development and persistence of multidrug-resistant (MDR) bacterial strains in animals. These resistant pathogens and their antibiotic resistance genes (ARGs) can spread to humans through environmental exposure and the food chain, posing serious public health risks. Whole-genome sequencing (WGS), alongside phenotypic antimicrobial susceptibility testing (AST), enables a comprehensive understanding of resistance mechanisms and informs antimicrobial stewardship strategies, particularly in resource-limited settings. AIM: This study aimed to characterize the phenotypic and genotypic antimicrobial resistance profiles, plasmid content, and virulence factors of an MDR E. coli strain (S3) isolated from a poultry farm in Enugu State, Nigeria, to elucidate potential risks to public health and the role of poultry as a reservoir for resistance determinants. METHODS: E. coli strain S3 was isolated from chicken droppings using standard microbiological methods and confirmed by MALDI-TOF mass spectrometry. AST was assessed using disc diffusion and broth microdilution to determine minimum inhibitory concentrations (MICs) for ten antibiotics across multiple classes. WGS was performed with a hybrid approach combining Illumina and Nanopore platforms, followed by genome assembly and annotation. ARGs, plasmid replicons, and virulence factors were identified in silico using AMRFinderPlus, starAMR, RGI/CARD, PlasmidFinder, MOB-suite, and the Virulence Factor Database (VFDB). RESULTS: Phenotypic testing revealed extensive resistance, with complete resistance to six of seven tested antibiotics (cefotaxime, ampicillin, erythromycin, gentamicin, ciprofloxacin, and doxycycline). MICs exceeded clinical breakpoints for multiple classes, confirming an MDR phenotype. Genome analysis indicated a 5.33 Mb genome distributed across five contigs, including one chromosome and four plasmid-associated contigs. The strain harboured numerous ARGs, including bla CTX-M-15, bla OXA-1, bla TEM-1, aac(6')-Ib-cr, aadA5, aph(3")-Ib, sul1/sul2, tet(A), dfrA17, and mph(A), co-localized on plasmids indicative of horizontal gene transfer (HGT) potential. Plasmid types included Col156, IncF, and two rep clusters. Virulence profiling revealed genes associated with adhesion (pap cluster, ECP), iron acquisition (enterobactin, yersiniabactin, aerobactin, heme uptake), and toxins (sat, senB), highlighting the isolate's potential for urinary tract and intestinal infections. CONCLUSION: This study highlights the significant role of poultry-associated bacteria as reservoirs of AMR genes, particularly those harboured on mobile plasmids with potential for HGT. E. coli strain S3 exhibits extensive multidrug resistance and carries a complex plasmid repertoire facilitating horizontal transfer of ARGs. Coupled with a rich virulence gene profile, this strain underscores the public health risk posed by poultry-associated E. coli in Nigeria. These findings demonstrate the urgent need for stringent antimicrobial stewardship, regulatory oversight, and genomic surveillance in poultry production milieus to mitigate the dissemination of MDR pathogens.

Escherichia coli↗

Assessment of methods for amino acid matrix selection and their use on empirical data shows that ad hoc assumptions for choice of matrix are not justified.

BACKGROUND: In recent years, model based approaches such as maximum likelihood have become the methods of choice for constructing phylogenies. A number of authors have shown the importance of using adequate substitution models in order to produce accurate phylogenies. In the past, many empirical models of amino acid substitution have been derived using a variety of different methods and protein datasets. These matrices are normally used as surrogates, rather than deriving the maximum likelihood model from the dataset being examined. With few exceptions, selection between alternative matrices has been carried out in an ad hoc manner. RESULTS: We start by highlighting the potential dangers of arbitrarily choosing protein models by demonstrating an empirical example where a single alignment can produce two topologically different and strongly supported phylogenies using two different arbitrarily-chosen amino acid substitution models. We demonstrate that in simple simulations, statistical methods of model selection are indeed robust and likely to be useful for protein model selection. We have investigated patterns of amino acid substitution among homologous sequences from the three Domains of life and our results show that no single amino acid matrix is optimal for any of the datasets. Perhaps most interestingly, we demonstrate that for two large datasets derived from the proteobacteria and archaea, one of the most favored models in both datasets is a model that was originally derived from retroviral Pol proteins. CONCLUSION: This demonstrates that choosing protein models based on their source or method of construction may not be appropriate.

Amino Acid Substitution↗

Toward automatic reconstruction of a highly resolved tree of life.

We have developed an automatable procedure for reconstructing the tree of life with branch lengths comparable across all three domains. The tree has its basis in a concatenation of 31 orthologs occurring in 191 species with sequenced genomes. It revealed interdomain discrepancies in taxonomic classification. Systematic detection and subsequent exclusion of products of horizontal gene transfer increased phylogenetic resolution, allowing us to confirm accepted relationships and resolve disputed and preliminary classifications. For example, we place the phylum Acidobacteria as a sister group of delta-Proteobacteria, support a Gram-positive origin of Bacteria, and suggest a thermophilic last universal common ancestor.

Amino Acyl-tRNA Synthetases↗

Genome phylogenies indicate a meaningful alpha-proteobacterial phylogeny and support a grouping of the mitochondria with the Rickettsiales.

Placement of the mitochondrial branch on the tree of life has been problematic. Sparse sampling, the uncertainty of how lateral gene transfer might overwrite phylogenetic signals, and the uncertainty of phylogenetic inference have all contributed to the issue. Here we address this issue using a supertree approach and completed genomic sequences. We first determine that a sensible alpha-proteobacterial phylogenetic tree exists and that it can confidently be inferred using orthologous genes. We show that congruence across these orthologous gene trees is significantly better than might be expected by random chance. There is some evidence of horizontal gene transfer within the alpha-proteobacteria, but it appears to be restricted to a minority of genes ( approximately 23%) most of whom ( approximately 74%) can be categorized as operational. This means that placement of the mitochondrion should not be excessively hampered by interspecies gene transfer. We then show that there is a consistently strong signal for placement of the mitochondrion on this tree and that this placement is relatively insensitive to methodological approach or data set. A concatenated alignment was created consisting of 15 mitochondrion-encoded proteins that are unlikely to have undergone any lateral gene transfer in the timeline under consideration. This alignment infers that the sister group of the mitochondria, for the taxa that have been sampled, is the order Rickettsiales.

Alphaproteobacteria↗

Evidence of positive Darwinian selection in putative meningococcal vaccine antigens.

Meningococcal meningitidis is a life-threatening disease. In Europe and the United States the majority of cases are caused by virulent meningococcal strains belonging to serogroup B. Presently there is no effective vaccine against serogroup B strains, as traditional vaccine antigens such as polysaccharide capsules are unusable as they lead to autoimmunity. The year 2000 saw the publication of the complete genome of Neisseria meningitidis MC58, a virulent serogroup B bacterium. Working in conjunction with the sequencing project, researchers endeavored to locate highly conserved membrane-associated proteins that elicit an immune response. It is hoped that these proteins will provide a basis for novel vaccines against serogroup B strains. A number of potential vaccine antigens have been located and are presently in phase I clinical trials. Recently many reports pertaining to the evidence of positive Darwinian selection in membrane proteins of pathogens have been reported. This study utilized in silico methods to test for evidence of historical positive Darwinian selection in seven such vaccine candidates. We found that two of these proteins show signatures of adaptive evolution, while the remaining proteins show evidence of strong purifying selection. This has significant implications for the design of a vaccine against serogroup B strains, as it has been shown that vaccines that target epitopes that are under strong purifying selection are better than those that target variable epitopes.

Amino Acid Sequence↗

The Opisthokonta and the Ecdysozoa may not be clades: stronger support for the grouping of plant and animal than for animal and fungi and stronger support for the Coelomata than Ecdysozoa.

In considering the best possible solutions for answering phylogenetic questions from genomic sequences, we have chosen a strategy that we suggest is superior to others that have gone previously. We have ignored multigene families and instead have used single-gene families. This minimizes the inadvertent analysis of paralogs. We have employed strict data controls and have reasoned that if a protein is not capable of recovering the uncontroversial parts of a phylogenetic tree, then why should we use it for the more controversial parts? We have sliced and diced the data in as many ways as possible in order to uncover the signals in that data. Using this strategy, we have tested two controversial hypotheses concerning eukaryotic phylogenetic relationships: the placement of arthropoda and nematodes and the relationships of animals, plants, and fungi. We have constructed phylogenetic trees from 780 single-gene families from 10 completed genomes and amalgamated these into a single supertree. We have also carried out a total evidence analysis on the only universally distributed protein families that can accurately reconstruct the uncontroversial parts of the phylogenetic tree: a total of five families. In doing so, we ignore the majority of single-gene families that are universally distributed as they do not have the appropriate signals to recover the uncontroversial parts of the tree. We have also ignored every protein that has ever been used previously to address this issue, simply because none of them meet our strict criteria. Using these data controls, site stripping, and multiple analyses, 24 out of 26 analyses strongly support the grouping of vertebrates with arthropods (Coelomata hypothesis) and plants with animals. In the other two analyses, the data were ambivalent. The latter finding overturns an 11-year theory of Eukaryotic evolution; the first confirms what has already been said by others. In the light of this new tree, we re-analyze the evolution of intron gain and loss in the rpL14 gene and find that it is much more compatible with the hypothesis presented here than with the Opisthokonta hypothesis.

Animal Population Groups↗

Does a tree-like phylogeny only exist at the tips in the prokaryotes?

The extent to which prokaryotic evolution has been influenced by horizontal gene transfer (HGT) and therefore might be more of a network than a tree is unclear. Here we use supertree methods to ask whether a definitive prokaryotic phylogenetic tree exists and whether it can be confidently inferred using orthologous genes. We analysed an 11-taxon dataset spanning the deepest divisions of prokaryotic relationships, a 10-taxon dataset spanning the relatively recent gamma-proteobacteria and a 61-taxon dataset spanning both, using species for which complete genomes are available. Congruence among gene trees spanning deep relationships is not better than random. By contrast, a strong, almost perfect phylogenetic signal exists in gamma-proteobacterial genes. Deep-level prokaryotic relationships are difficult to infer because of signal erosion, systematic bias, hidden paralogy and/or HGT. Our results do not preclude levels of HGT that would be inconsistent with the notion of a prokaryotic phylogeny. This approach will help decide the extent to which we can say that there is a prokaryotic phylogeny and where in the phylogeny a cohesive genomic signal exists.

Bacteria↗

Fatty acid biosynthesis in Mycobacterium tuberculosis: lateral gene transfer, adaptive evolution, and gene duplication.

Mycobacterium tuberculosis is a high GC Gram-positive member of the actinobacteria. The mycobacterial cell wall is composed of a complex assortment of lipids and is the interface between the bacterium and its environment. The biosynthesis of fatty acids plays an essential role in the formation of cell wall components, in particular mycolic acids, which have been targeted by many of the drugs used to treat M. tuberculosis infection. M. tuberculosis has approximately 250 genes involved in fatty acid metabolism, a much higher proportion than in any other organism. In silico methods have been used to compare the genome of M. tuberculosis CDC1551 to a database of 58 complete bacterial genomes. The resulting alignments were scanned for genes specifically involved in fatty acid biosynthetic pathway I. Phylogenetic analysis of these alignments was used to investigate horizontal gene transfer, gene duplication, and adaptive evolution. It was found that of the eight gene families examined, five of the phylogenies reconstructed suggest that the actinobacteria have a closer relationship with the alpha-proteobacteria than expected. This is either due to either an ancient transfer of genes or deep paralogy and subsequent retention of the genes in unrelated lineages. Additionally, adaptive evolution and gene duplication have been an influence in the evolution of the pathway. This study provides a key insight into how M. tuberculosis has developed its unique fatty acid synthetic abilities.

Acetyl-CoA Carboxylase↗

Detecting adaptive molecular evolution: additional tools for the parasitologist.

It is likely that infectious diseases have shaped the evolution of many vertebrates, including humans. The etiological agents of disease continuously strive to evade the immune response and the immune response, in turn, seeks to change in order to keep pace with the invaders. This 'arms race' may be characterized by the selection for new variant hosts and new variant parasites. Here we discuss the utility of phylogenetics in detecting adaptive evolution at the molecular level and, for illustration, we concentrate on a family of surface-exposed proteins (the rifins) found in the recently sequenced genome of Plasmodium falciparum. We employed phylogeny-based methods in order to characterize adaptive evolution in these proteins. We found evidence for adaptive evolution in many of the amino acid residues in at least one lineage. These results indicate that there has been selection for those strains of P. falciparum that contain the new genotypes. These proteins are likely to be of great importance for the survival of the parasite. Studies of the interaction of these proteins with the antigen-presenting cells of the immune system should lead to a better understanding of malarial infection.

Adaptation, Physiological↗

An algorithm for detecting directional and non-directional positive selection, neutrality and negative selection in protein coding DNA sequences.

Positive selection or adaptive evolution is thought to be responsible, at least some of the time, for the rapid accumulation of advantageous changes in protein-coding genes. The origin of new enzymatic functions, erection of barriers to heterospecific fertilization, and evasion of host response by pathogens, among other things, are thought to be instances of adaptive evolution. Detecting positive selection in protein-coding genes is fraught with difficulties. Saturation for sequence change, codon usage bias, ephemeral selection events and differential selective pressures on amino acids all contribute to the problem. A number of solutions have been proposed with varying degrees of success, however they suffer from limitations of not being accurate enough or being prohibitively computationally intensive. We have developed a character-based method of identifying lineages that undergo positive selection. In our method we assess the possibility that for each internal branch of a phylogenetic tree an event occurred that subsequently gave rise to a greater number of replacement substitutions than might be expected. We classify these replacement substitutions into two categories - whether they subsequently became invariable or changed again in at least one descendent lineage. The former situation indicates that the new character state is under strong selection to preserve its new identity (directional selection), while the latter situation indicates that there is a persistent pressure to change identity (non-directional selection). The method is fast and accurate, easy to implement, sensitive to short-lived selection events and robust with respect to sampling density and proportion of sites under the influence of positive selection.

Algorithms↗