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Santos-Lopez, A.

Publications and source records attributed to Santos-Lopez, A..

9 recordsLinked to original sources

Genomic Characterization of the RyC collection: 50 Multidrug Resistant Clinical Isolates of Escherichia coli and Klebsiella spp.

Antimicrobial resistance (AMR) is a major global public health threat, and Enterobacterales producing extended-spectrum {beta}-lactamases (ESBLs) represent some of the most common and concerning pathogens in clinical settings. Importantly, the dissemination of these resistance mechanisms is largely driven by mobile genetic elements (MGEs), particularly plasmids. Advancing our understanding of AMR evolution through experimentation requires moving beyond domesticated laboratory strains and towards clinically relevant isolates. However, despite the abundance of genomic data in public repositories, there is a lack of well-characterised clinical collections available for experimental work. Here, we characterise the RyC collection, which includes 50 multidrug-resistant, ESBL-producing Escherichia coli and Klebsiella spp. strains isolated from the gut microbiota of hospitalised patients at Hospital Universitario Ramon y Cajal (Madrid, Spain). We generated high-quality genome assemblies for all strains using a combination of short- and long-read sequencing technologies. From these data, we performed a comprehensive characterisation of the pangenome, mobilome, resistome and defensome of the collection. We present the RyC collection as a robust and experimentally tractable resource to study AMR evolution and MGEs dynamics in clinically relevant bacterial backgrounds. Impact statementAntimicrobial resistance (AMR) is a growing global health threat driven by the rapid dissemination of resistance genes among clinically relevant bacteria. A major challenge in studying AMR evolution is the reliance on domesticated laboratory strains, which poorly represent the complexity of pathogens circulating in hospitals. Here, we introduce the RyC collection, a set of well-characterised, multidrug-resistant Enterobacterales isolates obtained from hospitalised patients. By combining high-quality genome sequencing with detailed analyses of their gene content and mobile genetic elements (MGEs), this collection provides a realistic and experimentally tractable system to study how resistance evolves and spreads. The RyC collection will facilitate research on AMR dynamics, plasmid biology and host-MGEs interactions, ultimately contributing to the development of more effective strategies to combat antibiotic-resistant infections.

microbiology↗

Plasmids promote antimicrobial resistance through Insertion Sequence-mediated gene inactivation

Antimicrobial Resistance (AMR) is a major threat to public health. Plasmids are mobile genetic elements that can rapidly spread across bacterial populations, promoting the dissemination of AMR genes in clinical bacteria. In addition, plasmids are enriched in insertion sequences (IS), which are small transposable elements able to translocate between genetic locations. Importantly, IS transpositions commonly lead to gene inactivation, which can in turn promote AMR (e.g. through the modification of the antibiotic target). In this study, we combined experimental, bioinformatic and computational approaches to investigate the role of plasmids as catalysts of AMR through IS-mediated gene inactivation. Our results revealed that plasmid pOXA-48, which encodes two IS1 elements, increases the rate of resistance acquisition to multiple antibiotics in clinical strains of Klebsiella pneumoniae through IS1-mediated gene disruption. Moreover, a large screen of genome databases confirmed that the inactivation of genes through plasmid-encoded IS elements is an extended mechanism of AMR evolution. Finally, both our experiments and computational model revealed that conjugative plasmids can promote this route of AMR acquisition while invading complex bacterial communities. Overall, our study reveals that conjugative plasmids fuel AMR not only through the dissemination of resistance genes, but also through IS-mediated gene inactivation, promoting the evolution of multidrug resistance in bacteria.

microbiology↗

History shapes regulatory and evolutionary responses to tigecycline in strains of Acinetobacter baumannii from the pre- and post-antibiotic eras

Evolutionary history encompasses genetic and phenotypic bacterial differences, but the extent to which history influences drug response and antimicrobial resistance (AMR) adaptation is unclear. Historical contingencies arise when elements from an organisms past leave lasting effects on the genome, altering the paths available for adaptation. We utilize strains isolated before and after widespread antibiotic use to study the impact of deep historical differences shaped by decades of evolution in varying antibiotic and host pressures. We evaluated these effects by comparing immediate and adaptive responses of two strains of Acinetobacter baumannii to the last-resort antibiotic, tigecycline (TGC). When grown in subinhibitory TGC, the two strains demonstrated divergent transcriptional responses suggesting that baseline transcript levels may dictate global responses to drug and their subsequent evolutionary trajectories. Experimental evolution in TGC revealed clear differences in population-genetic dynamics - with hard sweeps in populations founded by one strain and no mutations reaching fixation in the other strain. Transcriptomes of evolved populations no longer showed signatures of drug response, as was seen in the ancestors, suggesting that genetic adaptation may outweigh preexisting differences in transcriptional networks. Genetically, AMR was acquired through predictable mechanisms of increased efflux and drug target modification; however, the two strains adapted by mutations in different efflux regulators. Fitness tradeoffs of AMR were only observed in lineages evolved from the pre-antibiotic era strain, suggesting that decades of adaptation to antibiotics resulted in preexisting compensatory mechanisms in the more contemporary isolate, an important example of a beneficial effect of historical contingencies. SIGNIFICANCE STATEMENTAcinetobacter baumannii is a high priority pathogen often causing multidrug resistant nosocomial infections. Many healthcare systems experience clonal outbreaks of A. baumannii infections, yet treatment strategies are often strain-agnostic, ignoring the importance of strain differences. We show that historical differences between two strains, one isolated prior to widespread antibiotic use and the other following decades of selection to clinical conditions, dictate transcriptional patterns and response to a last-resort antibiotic and influence the genetic and phenotypic routes of resistance adaptation. While our study focuses on two reference strains of A. baumannii, these findings can be more broadly applicable to other pathogenic organisms in which a better understanding of the forces influencing resistance adaptation is essential for combating the antimicrobial resistance crisis.

microbiology↗

Plasmid-encoded insertion sequences promote rapid adaptation in clinical enterobacteria

Plasmids are extrachromosomal genetic elements commonly found in bacteria. Plasmids are known to fuel bacterial evolution through horizontal gene transfer (HGT), but recent analyses indicate that they can also promote intragenomic adaptations. However, the role of plasmids as catalysts of bacterial evolution beyond HGT remains poorly explored. In this study, we investigate the impact of a widespread conjugative plasmid, pOXA-48, on the evolution of various multidrug-resistant clinical enterobacteria. Combining experimental and within-patient evolution analyses, we unveil that plasmid pOXA-48 promotes bacterial evolution through the transposition of plasmid-encoded insertion sequence 1 (IS1) elements. Specifically, IS1-mediated gene inactivations expedite the adaptation rate of clinical strains in vitro and foster within-patient adaptation in the gut microbiota. We decipher the mechanism underlying the plasmid-mediated surge in IS1 transposition, revealing a negative feedback loop regulated by the genomic copy number of IS1. Given the overrepresentation of IS elements in bacterial plasmids, our findings propose that plasmid-mediated IS transposition represents a crucial mechanism for swift bacterial adaptation.

microbiology↗

Within-patient evolution of plasmid-mediated antimicrobial resistance

Antibiotic resistance (AMR) in bacteria is a major threat to public health, and one of the key elements in the spread and evolution of AMR in clinical pathogens is the transfer of conjugative plasmids. The drivers of AMR evolution have been extensively studied in vitro, but the evolution of plasmid-mediated AMR in vivo remains poorly explored. Here, we tracked the evolution of the clinically-relevant plasmid pOXA-48, which confers resistance to the last-resort antibiotics carbapenems, in a large collection of enterobacterial clones isolated from the gut of hospitalised patients. Combining genomic and experimental approaches, we first characterized plasmid diversity and the genotypic and phenotypic effects of multiple plasmid mutations on a common genetic background. Second, using cutting-edge genomic editing in wild-type multidrug resistant enterobacteria, we dissected three cases of within-patient plasmid-mediated AMR evolution. Our results revealed, for the first time, compensatory evolution of plasmid-associated fitness cost, as well as the evolution of enhanced plasmid-mediated AMR, in bacteria evolving within the gut of hospitalised patients. Crucially, we observed that the evolution of plasmid-mediated AMR in vivo involves a pivotal trade-off between resistance levels and bacterial fitness. This study highlights the need to develop new evolution-informed approaches to tackle plasmid-mediated AMR dissemination.

evolutionary biology↗

The roles of history, chance, and natural selection in the evolution of antibiotic resistance

History, chance, and selection are the fundamental factors that drive and constrain evolution. We designed evolution experiments to disentangle and quantify effects of these forces on the evolution of antibiotic resistance. History was established by prior antibiotic selection of the pathogen Acinetobacter baumannii in both structured and unstructured environments, selection occurred in increasing concentrations of new antibiotics, and chance differences arose as random mutations among replicate populations. The effects of history were reduced by increasingly strong selection in new drugs, but not erased, at times producing important contingencies. Selection in structured environments constrained resistance to new drugs and led to frequent loss of resistance to the initial drug. This research demonstrates that despite strong selective pressures of antibiotics leading to genetic parallelism, history can etch potential vulnerabilities to orthogonal drugs.

evolutionary biology↗

Parallel evolution of tobramycin resistance across species and environments

An important problem in evolution is identifying the genetic basis of how different species adapt to similar environments. Understanding how various bacterial pathogens evolve in response to antimicrobial treatment is a pressing example of this problem, where discovery of molecular parallelism could lead to clinically useful predictions. Evolution experiments with pathogens in environments containing antibiotics combined with periodic whole population genome sequencing can be used to characterize the evolutionary dynamics of the pathways to antimicrobial resistance. We separately propagated two clinically relevant Gram-negative pathogens, Pseudomonas aeruginosa and Acinetobacter baumannii, in increasing concentrations of tobramycin in two different environments each: planktonic and biofilm. Independent of the pathogen, populations adapted to tobramycin selection by parallel evolution of mutations in fusA1, encoding elongation factor G, and ptsP, encoding phosphoenolpyruvate phosphotransferase. As neither gene is a direct target of this aminoglycoside, both are relatively novel and underreported causes of resistance. Additionally, both species acquired antibiotic-associated mutations that were more prevalent in the biofilm lifestyle than planktonic, in electron transport chain components in A. baumannii and LPS biosynthesis enzymes in P. aeruginosa populations. Using existing databases, we discovered both fusA1 and ptsP mutations to be prevalent in antibiotic resistant clinical isolates. Additionally, we report site-specific parallelism of fusA1 mutations that extend across several bacterial phyla. This study suggests that strong selective pressures such as antibiotic treatment may result in high levels of predictability in molecular targets of evolution despite differences between organisms genetic background and environment.

microbiology↗

Biofilm-dependent evolutionary pathways to antibiotic resistance

Bacterial populations vary in their stress tolerance and population structure depending upon whether growth occurs in well-mixed or structured environments. We hypothesized that evolution in biofilms would generate greater genetic diversity than well-mixed environments and lead to different pathways of antibiotic resistance. We used experimental evolution and whole genome sequencing to test how the biofilm lifestyle influenced the rate, genetic mechanisms, and pleiotropic effects of resistance to ciprofloxacin in Acinetobacter baumannii populations. Both evolutionary dynamics and the identities of mutations differed between lifestyle. Planktonic populations experienced selective sweeps of mutations including the primary topoisomerase drug targets, whereas biofilm-adapted populations acquired mutations in regulators of efflux pumps. An overall trade-off between fitness and resistance level emerged, wherein biofilm-adapted clones were less resistant than planktonic but more fit in the absence of drug. However, biofilm populations developed collateral sensitivity to cephalosporins, demonstrating the clinical relevance of lifestyle on the evolution of resistance.

microbiology↗

Compensatory evolution facilitates the acquisition of multiple plasmids in bacteria

The coexistence of multicopy plasmids is a common phenomenon. However, the evolutionary forces promoting these genotypes are poorly understood. In this study, we have analyzed multiple ColE1 plasmids (pB1000, pB1005 and pB1006) coexisting within Haemophilus influenzae RdKW20 in all possible combinations. When transformed into the naive host, each plasmid type presented a particular copy number and produced a specific resistance profile and biological cost, whether alone or coexisting with the other plasmids. Therefore, there was no fitness advantage associated with plasmid coexistence that could explain these common plasmid associations in nature. Using experimental evolution, we showed how H. influenzae Rd was able to completely compensate the fitness cost produced by any of these plasmids. Crucially, once the bacterium has compensated for a first plasmid, the acquisition of new multicopy plasmid(s) did not produced any extra biological cost. We argue therefore that compensatory adaptation pave the way for the acquisition of multiple coexisting ColE1 plasmids.\n\nImportanceAntibiotic resistance is a major concern for human and animal health. Plasmids play a major role in the acquisition and dissemination of antimicrobial resistance genes. In this report we investigate, for the first time, how plasmids are capable to cohabit stably in populations. This coexistence of plasmids is driven by compensatory evolution alleviating the cost of a first plasmid, which potentiates the acquisition of further plasmids at no extra cost. This phenomenon explains the high prevalence of plasmids coexistance in wild type bacteria, which generates multiresistant clones and contributes to the maintenance and spread of antibiotic resistance genes within bacterial populations.

microbiology↗