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Tournebize, R.

Publications and source records attributed to Tournebize, R..

12 recordsLinked to original sources

Modelling and Inferring Large-scale Demographic Fluctuations in Structured Populations Through Simulations and PSMC-based Methods.

The climatic oscillations of the Quaternary have likely affected the demographic history of many species, and PSMC (Pairwise Sequentially Markovian Coalescent) has been widely used to investigate these histories. However, it is increasingly acknowledged that PSMC trajectories are difficult to interpret. First, they are influenced by connectivity changes, even without population size changes. Second, most PSMC curves exhibit a few humps when tens of cycles occurred during the Pleistocene. Finally, responses to ancient habitat change have been shown to be species-specific. To address these issues, we simulated structured populations where connectivity (or population size and connectivity) varied according to successive interglacial and glacial periods during the last 2.6 million years. We computed the IICR (Inverse Instantaneous Coalescence Rate), the function that PSMC estimates, and ran PSMC. We further varied the generation length and assumed that some species were positively or negatively affected by glacials. We found that the IICR carries information regarding the demographic oscillations, but that PSMC fails to recover it for times older than 300 ky. For the last 200 ky, PSMC was often able to reproduce qualitatively the demographic oscillations. We also tested SNIF (Structured Non-stationary Inferential Framework), which produced good results using the IICR curve as an input but not when using the PSMC curve. Altogether, our study suggests that the humps older than 300 ky in PSMC histories are unlikely to represent trends of population size or connectivity. However, improving the estimation of the IICR could potentially help reconstruct some of these past demographic changes.

genomics↗

A Murine Model of Mycobacterium abscessus Encapsulated in Alginate-Beads: Advancing Toward a Chronic Infection Model

BackgroundThe increasing incidence of Mycobacterium abscessus (M. abscessus) lung infections, together with its intrinsic multidrug resistance, highlights the need for new therapeutic regimens. However, the lack of a reliable chronic infection model in immunocompetent mice limits preclinical evaluation. MethodsTo mimic the bronchial environment of infected patients, we evaluated the effect of encapsulating M. abscessus in alginate beads on infection progression in BALB/cJRJ mice following intratracheal inoculation, compared with intranasal infection using non-encapsulated bacteria. The impact of dexamethasone treatment (DEX) was also assessed. Bacterial loads in lungs, spleen, liver, and kidneys were quantified over time in untreated and antibiotic-treated mice. Lung inflammation was evaluated by measuring IFN-{gamma} and TNF- levels. In vitro, the activity of imipenem and bedaquiline was assessed against free or alginate-encapsulated M. abscessus. ResultsCompared with intranasal infection, intratracheal infection with alginate-encapsulated bacteria resulted in slower pulmonary clearance and greater extrapulmonary dissemination. DEX further enhanced these features, reducing lung clearance, increasing dissemination, and amplifying lung inflammation. Bedaquiline showed no effect, whereas imipenem efficacy depended on treatment timing. For both drugs, alginate encapsulation reduced in vitro antibacterial activity. ConclusionThis model represents a step toward a chronic M. abscessus infection model characterized by moderate lungs clearance, extrapulmonary dissemination, and pronounced inflammatory responses. Reduced antibiotic activity against alginate-encapsulated bacteria may more accurately predict treatment efficacy in humans than activity measured against free bacteria.

microbiology↗

Does Infection Progression of Mycobacterium abscessus Depend on Sex, Age, and Mouse strain?

The lack of a reliable chronic murine model limits drugs evaluation against Mycobacterium abscessus. Models show discrepancies, especially regarding host factors (mouse strain, sex and age). Using beads-model, we compared BALB/cJRJ and C57BL/6NCrl across sexes and ages. BALB/cJRJ showed more sustained infection and lower variability, with no significant sex- or age-related differences. Considering these results and the higher prevalence of NTM pulmonary infections in female patients, 5-6 weeks-old female BALB/cJRJ are appropriate for M. abscessus beads-model.

microbiology↗

Lytic bacteriophages active in urine against multi-drug resistant clinically derived Klebsiella pneumoniae causing urinary tract infection

ObjectivesMultidrug-resistant (MDR) Klebsiella pneumoniae is an increasingly important cause of recurrent urinary tract infections (UTIs), particularly in high-risk patients such as those with neurogenic bladder, where therapeutic options are limited. Bacteriophage therapy represents a promising alternative, but pre-clinical models and characterization of phages active against UTI-derived strains remain scarce. We therefore aimed to isolate and characterize bacteriophages targeting a clinical MDR K. pneumoniae strain causing recurrent UTI and evaluate their activity under urinary conditions. MethodsThree bacteriophages were isolated from environmental samples using an ESBL-producing K. pneumoniae clinical isolate obtained from a neurogenic bladder patient. Phages were characterized by genome sequencing, electron microscopy, stability assays, one-step growth curves, and host-range analysis across 79 clinical UTI isolates. Phage activity was quantified in LB medium and human urine using bacterial growth kinetics and a lytic activity score. ResultsThree lytic phages from the former siphoviridae family (EDIRA083, EDIRA088, and EDIRA092) belonging to distinct genera were identified. Genomic analysis confirmed the absence of lysogeny-associated, virulence, or antibiotic-resistance genes. Latent periods ranged from 8 to 40 minutes and burst sizes from 38 to 170 virions per infected bacterium. Host-range analysis revealed narrow activity for EDIRA083 and EDIRA088, whereas EDIRA092 infected 29% of the 79 clinical isolates tested. In liquid phage infection assays, overall lytic activity was consistently higher and more sustained in human urine than in LB, suggesting reduced fitness of resistant mutants under urinary conditions. ConclusionsThese results identify three genetically distinct lytic phages targeting MDR K. pneumoniae and highlight the importance of testing phage activity under infection-relevant conditions. Their activity in urine supports further evaluation of these phages as candidates for therapeutic development against MDR Klebsiella UTI.

microbiology↗

Genomic epidemiology of Ukraine conflict-associated Klebsiella pneumoniae reveals the emergence of a high-risk clone with a hybrid virulence-resistance plasmid vulnerable to lytic phages

As antimicrobial resistance continues to rise and the development of new antimicrobials lags, we face an urgent threat where routine infections could become life-threatening. Armed conflicts, like Russias war on Ukraine, intensify this crisis by accelerating the emergence and spread of resistant organisms across regions and borders. Phage Support Ukraine (Phage Sp UKR) is a collaborative effort to provide phages targeting circulating pathogens in Ukraine for delivery of personalized phage therapies. Within this context, we received multidrug-resistant bacterial isolates belonging to a number of different species. We here focus on Klebsiella pneumoniae, the most concerning pathogen with regard to prevalence, virulence and antibiotic resistance. Among the K. pneumoniae isolates, we identified sequence types (ST) 39, 101, 147, 307 and 395, as well as a predominating clonal group--CG10146 (ST23 KL57), first detected in Moscow--carrying a hybrid virulence-resistance plasmid encoding NDM-1 and aerobactin. Over two years (2023-2025), this clonal group expanded and acquired pan-resistance. When tested in virulence assays, only one isolate (ST395) displayed hypervirulence in a Galleria mellonella though not in a mouse infection model. Several phages isolated from Ukrainian sewage were able to lyse these K. pneumoniae strains, including strains obtained from soldiers displaced in Belgium, Germany, and Latvia. Bacterial resistance was observed during in vitro testing. However, some phage-resistant isolates had mutations in virulence factors, including one that completely lost its hybrid plasmid, resulting in restored antibiotic susceptibility. Strategies like Phage Sp UKR are essential to prevent the selection, persistence, and global spread of these MDR clones.

microbiology↗

DepoCatalog: Mapping the Diversity of 105 Recombinant Klebsiella Phage Depolymerases Across Sequence, Structure, and Substrate Specificity

A validated catalog of 105 recombinant depolymerases from Klebsiella phages covers 58 KL-types. 46 novel enzymes from prophages, jumbo phages, and common phages are linked to any known enzymatic activity against 14 classical serotypes and 12 genome-defined KL-types. Using activity-based profiling, structure prediction, and domain dissection, we developed a function-guided classification and a five-class structural catalog. This framework reveals highly specific enzymes active against up to three capsule types. K47 CPS was degraded by three diverse protein groups. Structurally similar depolymerases degrading particular CPS were found in distinct phage taxa, with highly conserved enzymes in Drulisvirus specific to K1-, K2-types. The exclusive depolymerases were found in siphoviruses targeting K2 and K62 serotypes. A case study of five structurally similar enzymes degrading KL22/KL37/KL111 and KL25/KL119 capsules suggested specificity switching via amino acid changes or C-domain modification. Klebsiella phage depolymerases catalog sheds light on their diversity, evolution, and potential application.

microbiology↗

Evaluation of the role of whiB6 and kdpDE in the dominant multidrug resistant clone Mycobacterium tuberculosis B0/W148

Multidrug resistant (MDR) strains of Mycobacterium tuberculosis represent an obstacle to eradicating tuberculosis (TB) due to the low treatment success rate of MDR TB. Among them, the MDR B0/W148 clone has recently evolved from the M. tuberculosis Beijing lineage 2 and widely disseminated in Russia and Europe. To get more insights into the genetic factors underlying the evolutionary success of the MDR M. tuberculosis B0/W148 clone in addition to environmental and patient-related features, we focused on two mutations specific from this clone that are found in the transcriptional regulators WhiB6 and KdpDE and investigated in a H37Rv strain background the transcriptional profile associated with these mutations and their impact on the in vitro and in vivo growth characteristics. Through the construction and use of H37Rv{Delta}whiB6, H37Rv{Delta}kdpDE, and complemented strains, we found that both mutations did not impair the in vitro growth of M. tuberculosis in standard mycobacterial growth media. The mutation T51P in whiB6 prevented the upregulation of 9 genes in the esx-1 core region and 44 genes elsewhere in the genome, while the deletion of two nucleotides in kdpD leads to a fusion protein of KdpD with KdpE that inhibits the transcriptional activity of KdpE. Both mutations did not lead to hypervirulence in a mouse infection model. These results point to the role of other MDR B0/W148 specific mutations in the wide geographic diffusion of this clone, and/or put in question a hypothesized hypervirulence as driving factor for this large dissemination. ImportanceHuman tuberculosis (TB), caused by the bacterium Mycobacterium tuberculosis, remains a global public health issue estimated to have been responsible for 1.25 million deaths in 2023. Multidrug resistant (MDR) strains of M. tuberculosis, resistant to rifampicin and isoniazid, lead to lower treatment success. Among them, the MDR B0/W148 clone has widely disseminated in Russia and Europe. To get more insights into the genetic factors underlying the evolutionary success of this clone, we investigated two strain-specific mutations found in the transcriptional regulators WhiB6 and KdpDE. By constructing and analysing laboratory M. tuberculosis strains carrying these specific mutations, we found numerous changes in their transcriptional profiles, whereas we observed only little impact of these mutations on virulence of M. tuberculosis in a mouse infection model. Our study provides new insights into the transcriptional landscape of the selected MDR strains, although no direct connection to virulence could be established.

microbiology↗

On the demographic history of chimpanzees and some consequences of integrating population structure in chimpanzees and other great apes

Reconstructing the evolutionary history of great apes is of particular importance for our understanding of the demographic history of humans. The reason for this is that modern humans and their hominin ancestors evolved in Africa and thus shared the continent with the ancestors of chimpanzees and gorillas. Common chimpanzees (Pan troglodytes) are our closest relatives with bonobos (Pan paniscus) and most of what we know about their evolutionary history comes from genetic and genomic studies. Most evolutionary studies of common chimpanzees have assumed that the four currently recognised subspecies can be modelled using simple tree models where each subspecies is panmictic and represented by one branch of the evolutionary tree. However, several studies have identified the existence of significant population structure, both within and between subspecies, with evidence of isolation-by-distance (IBD) patterns. This suggests that demographic models integrating population structure may be necessary to improve our understanding of their evolutionary history. Here we propose to use n-island models within each subspecies to infer a demographic history integrating population structure and changes in connectivity (i.e. gene flow). For each subspecies, we use SNIF (structured non-stationary inference framework), a method developed to infer a piecewise stationary n-island model using PSMC (pairwise sequentially Markovian coalescent) curves as summary statistics. We then propose a general model integrating the four subspecies metapopulations within a phylogenetic tree. We find that this model correctly predicts estimates of within subspecies genetic diversity and differentiation, but overestimates genetic differentiation between subspecies as a consequence of the tree structure. We argue that spatial models integrating gene flow between subspecies should improve the prediction of between subspecies differentiation and IBD patterns. We also use a simple spatially structured model for bonobos and chimpanzees (without admixture) and find that it explains signals of admixture between the two species that have been reported and could thus be spurious. This may have implications for our understanding of the evolutionary history of the Homo genus.

evolutionary biology↗

Life history traits influence the dynamics of genetic diversityin a refugium population undergoing expansion andcontraction

Species ranges are dynamic, experiencing expansions, contractions or shifts as a response to habitat changes induced by extrinsic factors such as climate change and, more recently, human activities. While the scientific literature has explored the genetic effects of spatial processes, published studies rarely incorporate life-history traits to study the effect of such changes on species living in the same environments. There is thus a gap in our understanding regarding the variation in genetic diversity patterns among species with distinct life-history traits such as growth rates and generation times, experiencing the same habitat change scenarios. In this study, we first used spatial simulations to investigate the temporal dynamics of genetic diversity within refugium populations experiencing a range expansion followed by a stationary and a contraction period. We explored different scenarios, varying both the speed of contraction and the life-history traits of the simulated species. In addition, we used a simpler panmictic model for which we derived analytical results. Altogether, we identified three temporal dynamics of genetic diversity in the refugium population during the contraction phase: scenarios where genetic diversity i) decreased throughout the contractions, ii) increased for periods that could be greater than thousands of years before plateauing and then decreasing or iii) followed a persistent increasing trend, without any visible effect of the expansion or contraction. We show that these different temporal dynamics can be predicted by comparing the observed expected heterozygosity (He) to the values expected if the species were at equilibrium within the refuge (He refuge) and within the whole landscape (He landscape). We also observe that there are scenarios where a rapid contraction maintains more diversity just at the end of the contraction, as widely believed and as reported in a previous simulation study. However, we also observe the opposite pattern for a wide range of parameters. The widespread idea that observing high diversity levels in a refugium population is due to a recent and rapid habitat loss is thus not necessarily true and will depend on various life history traits and how they relate to habitat change dynamics.

evolutionary biology↗

Questioning Neanderthal admixture: on models, robustness and consensus in human evolution

Genomic and ancient DNA data have revolutionized palaeoanthropology and our vision of human evolution, with indisputable landmarks like the sequencing of Neanderthal and Denisovan genomes. Yet, using genetic data to identify, date and quantify evolutionary events--like ancient bottlenecks or admixture--is not straightforward, as inferences may depend on model assumptions. In the last two decades, the idea that Neanderthals and members of the Homo sapiens lineage interbred has gained momentum. From the status of unlikely theory, it has reached consensus among human evolutionary biologists. This theory is mainly supported by statistical approaches that depend on demographic models minimizing or ignoring population structure, despite its widespread occurrence and the fact that when ignored, population structure can lead to infer spurious demographic events. We simulated genomic data under a structured and admixture-free model of human evolution, and found that all the tested admixture approaches identified long Neanderthal fragments in our simulated genomes and an admixture event that never took place. We also observed that several published admixture models failed to predict important empirical diversity or admixture statistics, and that our model was best at predicting these statistics jointly. Our results suggest that models accounting for population structure are fundamental to improve our understanding of human evolution, and that admixture between Neanderthals and Homo sapiens needs to be re-evaluated in the light of structured models. Beyond the Neanderthal case, we argue that ancient hybridization events, which are increasingly documented in many species, including with other hominins, may also benefit from such reevaluation. Significance statementThe idea that Neanderthals and some ancestral Homo sapiens populations interbred has gained momentum in the last two decades. Yet, this theory is mainly supported by statistical approaches that assume highly simplified models of hominin evolution. A major issue is that these methods have been poorly tested in the context of population structure, despite its widespread occurrence in many vertebrate species. We simulated data under a structured model and found that all tested methods identified spurious admixture events, suggesting a lack of robustness to population structure. Besides, our structured model was better at predicting several key genomic statistics than the tested admixture models. This suggests that admixture should be re-evaluated in the light of population structure, in hominins and beyond.

evolutionary biology↗

Reconstructing the history of founder events using genome-wide patterns of allele sharing across individuals

Founder events play a critical role in shaping genetic diversity, impacting the fitness of a species and disease risk in humans. Yet our understanding of the prevalence and distribution of founder events in humans and other species remains incomplete, as most existing methods for characterizing founder events require large sample sizes or phased genomes. To learn about the frequency and evolutionary history of founder events, we introduce ASCEND (Allele Sharing Correlation for the Estimation of Non-equilibrium Demography), a flexible two-locus method to infer the age and strength of founder events. This method uses the correlation in allele sharing across the genome between pairs of individuals to recover signatures of past bottlenecks. By performing coalescent simulations, we show that ASCEND can reliably estimate the parameters of founder events under a range of demographic scenarios, with genotype or sequence data. We apply ASCEND to ~5,000 worldwide human samples (~3,500 present-day and ~1,500 ancient individuals), and ~1,000 domesticated dog samples. In both species, we find pervasive evidence of founder events in the recent past. In humans, over half of the populations surveyed in our study had evidence for a founder events in the past 10,000 years, associated with geographic isolation, modes of sustenance, and historical invasions and epidemics. We document that island populations have historically maintained lower population sizes than continental groups, ancient hunter-gatherers had stronger founder events than Neolithic Farmers or Steppe Pastoralists, and periods of epidemics such as smallpox were accompanied by major population crashes. Many present-day groups--including Central & South Americans, Oceanians and South Asians--have experienced founder events stronger than estimated in Ashkenazi Jews who have high rates of recessive diseases due to their history of founder events. In dogs, we uncovered extreme founder events in most groups, more than ten times stronger than the median strength of founder events in humans. These founder events occurred during the last 25 generations and are likely related to the establishment of dog breeds during Victorian times. Our results highlight a widespread history of founder events in humans and dogs, and provide insights about the demographic and cultural processes underlying these events.

evolutionary biology↗

Imaging of red-shifted photons from bioluminescent tumours using fluorescence by unbound excitation from luminescence

Early detection of tumours is today a major challenge and requires sensitive imaging methodologies coupled with new efficient probes. Bioluminescence imaging has been widely used in the field of oncology and several cancer cell lines have been genetically modified to provide bioluminescence signals. However, photons that are emitted by the majority of commonly used luciferases are usually in the blue part of the visible spectrum, where tissue absorption is still very high, making deep tissue imaging non-optimal and calling for optimised optical imaging methodologies. We have previously shown that red-shifting of bioluminescence signal by Fluorescence Unbound Excitation from Luminescence (FUEL) is a mean to increase bioluminescence signal sensitivity detection in vivo. Here, we applied FUEL to tumour detection in two different subcutaneous tumour models: the auto-luminescent human embryonic kidney (HEK293) cell line and the murine B16-F10 melanoma cell line previously transfected with the plasmid Luc2. Tumour size and bioluminescence were measured over time and tumour vascularization characterized. We then locally injected near infrared emitting Quantum Dots (NIR QDs)in the tumour site and observed a red-shifting of bioluminescence signal by (FUEL) indicating that FUEL could be used to allow deeper tumour detection.

bioengineering↗