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At least 19 recordsLinked to original sources
PubMed1991

Elements in microbial evolution.

Spontaneous mutation, selection, and isolation are key elements in biological evolution. Molecular genetic approaches reveal a multitude of different mechanisms by which spontaneous mutants arise. Many of these mechanisms depend on enzymes, which often do not act fully at random on the DNA, although a large number of sites of action can be observed. Of particular interest in this respect are DNA rearrangement processes, e.g., by transposition and by site-specific recombination systems. The development of gene functions has thus to be seen as the result of both DNA rearrangement processes and sequence alterations brought about by nucleotide substitutions and small local deletions, insertions, and duplications. Prokaryotic microorganisms are particularly appropriate for studying the effects of spontaneous mutation and thus microbial evolution, as they have haploid genomes, so that genetic alterations become rapidly apparent phenotypically. In addition, bacteria and their viruses and plasmids have relatively small genomes and short generation times, which also facilitate research on evolutionary processes. Besides the strategy of development of gene functions in the vertical transmission of genomes from generation to generation, the acquisition of short DNA segments from other organisms appears to be an important strategy in microbial evolution. In this process of horizontal evolution natural vector DNA molecules are often involved. Because of acquisition barriers, the acquisition strategy works best for relatively small DNA segments, hence at the level of domains, single genes, or at most operons. Among the many enzymes and functional systems involved in vertical and horizontal microbial evolution, some may serve primarily for essential life functions in each individual and only secondarily contribute to evolution.(ABSTRACT TRUNCATED AT 250 WORDS)

Base Sequence↗
PubMedDate not supplied

Mechanisms in microbial evolution.

Molecular genetic studies with prokaryotic microorganisms reveal that many different molecular processes contribute to the formation of spontaneous mutations. Besides infidelities in DNA replication and the consequences of environmental mutagens, enzyme-mediated DNA rearrangements bring about important, evolutionarily relevant alterations in the genetic information. Particular attention is given in this article to site-specific recombination at secondary crossover sites and to the transposition of mobile genetic elements with relaxed target specificity. Besides these diverse processes of genomic mutation the acquisition of genetic information from other organisms plays an uncontested role in microbial evolution. Enzymes and organelles mediating any of these mutational processes can be looked at as biological functions acting at the level of populations for the needs of biological evolution, rather than to fulfill the needs of individual living organisms.

Bacteria↗
PubMed1991

Oxygen toxicity and microbial evolution.

It is postulated that the role of oxygen toxicity in the evolution of life strongly depends on the origin of molecular oxygen, due to the strong redox buffering capacity of Precambrian waters containing large amounts of ferrous and manganese cations. The critical selective pressure could be observed only after aerobic photosynthesis had been developed, due to the high local concentration of oxygen in close vicinity of photosynthesizing cells. It is also postulated that early oxygen-evolving organisms excreted a substantial part of this element in the form of hydrogen peroxide. As a consequence of the high reactivity of this compound with ferrous and manganese cations, an important percentage of iron deposits were produced with H2O2 as a major oxidant after the development of aerobic photosynthesis. It is postulated that negatively charged extracellular polymers of simple pro- and eukaryotic organisms function as sacrificial targets of hydroxyl radicals and at the same time as extracellular equivalents of superoxide dismutases, in these two ways protecting cellular membranes against oxidative damage. The role of oxygen toxicity in developing aerobic mechanisms of iron uptake is also discussed.

Biological Evolution↗
PubMed2025

The ecology and evolution of microbial immune systems: a look on the wild vibrio side.

Natural populations of vibrio beyond the well-studied pandemic strains of Vibrio cholerae, provide a powerful model for investigating the eco-evolutionary dynamics of microbial immune systems. Their genetic diversity, ecological versatility, ease of culturability and the availability of time-series data enable detailed studies of phage-host interactions in natural contexts. This review synthesizes recent advances in vibriophage research, highlighting key findings and emerging tools. High-throughput assays and genomic tools have offered new perspectives on phage specificity, host range and the evolutionary pressures shaping these interactions. Theoretical frameworks, such as arms race and fluctuating selection dynamics, are informed by empirical data from vibrio-phage systems, with time-series sampling providing crucial insights into their temporal and spatial dynamics. A major finding is the role of mobile genetic elements (MGEs) in encoding bacterial defence systems, which shape phage-host coevolution. Discoveries like the phage satellite PICMI illustrate how MGEs facilitate the transfer of antiviral systems, influencing ecological and evolutionary dynamics. The paradox of generalist vibriophages, rare despite their broad host ranges, is also explored. By integrating experimental approaches with field observations, vibriophage research advances microbial ecology and informs sustainable applications in aquaculture and phage therapy, reinforcing vibrios as a versatile model system.This article is part of the discussion meeting issue 'The ecology and evolution of bacterial immune systems'.

Bacteriophages↗
PubMed2025

Climate-driven co-evolution of antimicrobial resistance and virulence in Escherichia coli on dairy farms: unraveling adaptive genetic signatures with novel SSCP-PCR.

This study addresses a critical One Health challenge by investigating the epidemiological and genetic drivers of antimicrobial resistance (AMR) in E. coli from 290 clinical bovine samples. On Egyptian dairy farms, our findings revealed that while calf diarrhea peaked during the winter, a higher rate of multidrug resistance was consistently observed in isolates from the summer, directly linking seasonal pressures to AMR dissemination. Strikingly, a mastitis isolate was confirmed as the highly virulent E. coli O157:H7 serotype, harboring the Shiga toxin genes stx1 and stx2, underscoring a direct and significant public health risk. To dissect the molecular basis of these trends, we pioneered the use of a novel Single-Strand Conformation Polymorphism Polymerase Chain Reaction (SSCP-PCR) assay on 33 selected isolates. This high-throughput approach revealed prevalent mutations in resistance genes (blaTEM and gyrB) and the virulence gene (fimH). Crucially, sequencing confirmed that mutations in the highly conserved 16S rRNA gene significantly co-occurred with mutations in blaTEM, fimH, and lacI, providing compelling evidence for co-selected adaptive pathways and clonal expansion. Our research demonstrates that climate-driven environmental pressures fuel the co-evolution of AMR and virulence on farms, championing SSCP-PCR as a robust tool for tracking microbial evolution and advocating for integrated, molecularly-informed One Health strategies.

Escherichia coli↗
PubMed2026

Effector loss and gain drives host range at a fitness cost.

Epidemic preparedness depends on tracking microbial evolution that drives shifts in ecological behaviors such as disease emergence. However, the genetic constraints mediating microbial emergence for generalist and specialist behaviors remain poorly described. Here, we addressed this question by combining comparative and functional genomics with phylogeny-based evolutionary analyses of the cereal pathogen Xanthomonas translucens. We show that a generalist X. translucens subgroup arose from a specialist ancestor, and the loss of a single effector gene, xopAL1, contributed to the generalist host expansion by promoting host jump from barley to wheat. Deleting barley-specialist X. translucens xopAL1 recapitulated the host jump to wheat and demonstrates risk across each globally distributed genetic lineage. However, this niche expansion via XopAL1 loss incurs a significant fitness cost to colonize barley. Moreover, the specialist lineage gained an additional effector gene, xopAJ, which enhanced virulence on barley while restricting oat infection, thereby reinforcing niche specialization. We further conducted transcriptomic analysis of wheat and determined that XopAL1 triggers a defense response that involves the reduction of photosynthetic processes. Our work provides an experimentally validated evolutionary framework to understand mechanisms of intergenera host jump. Overall, we demonstrate that single events of gene loss and gain shape ecological behaviors by creating a dynamic trade-off between niche breadth and specialization.

Triticum↗
PubMed2026

Environmental Gradients as a Dominant Force in the Macroevolution of a Host-Associated Marine Bacterium.

Natural selection is imposed by both abiotic environmental filtering and biotic interactions, yet their relative roles in shaping the deep phylogeny of widespread, generalist host-associated bacteria remain unclear. Here, we integrate large-scale phylogenomics, environmental sequencing, functional genomics, and global metagenomic analysis to demonstrate that tidal zonation overrides host association as the dominant macroevolutionary force structuring the marine bacterial genus Ruegeria. Analysis of 533 genomes and 74 global coastal metagenomes reveals that the intertidal-subtidal boundary structures the deepest phylogenetic splits, driving the repeated evolution of distinct ecotypes through independent zonation transitions across global coastlines. These ecotypes possess divergent genomic toolkits: intertidal strains are enriched for genes coding for stress resistance and anaerobic metabolism, whereas subtidal strains specialize in high-affinity nutrient scavenging. Our findings establish that predictable physicochemical gradients act as filters that generate foundational diversity from which specialized host symbionts subsequently emerge, reframing how environmental gradients shape microbial evolution at the eco-evolutionary interface.

Journal Article↗
PubMed1992

[Changes in the dynamics of viral infectious diseases].

Modern methods of molecular biology are suitable to analyse evolutionary processes in the area of infectious diseases. Visible expression of this evolution is the emergence of "new" infectious agents, e.g., canine parvovirus, the agent of the porcine reproductive and respiratory syndrome and phocine distemper virus. In addition a gradual change of disease syndromes may be observed, e.g., classical and African swine fever and myxoma. These processes are based on genomic changes of the respective infectious agents, i.e., point mutations and recombinations. Especially RNA viruses are prone to genomic change, and the plasticity of their genomes enables them to adapt to varying selective pressures. Human activities in agriculture, global commerce and tourism may enhance and precipitate microbial evolution.

Animals↗
PubMed1975

[An current question in the molecular genetics of bacteria].

The author considers the possibilities and limits of extrapolation of the data by the genetics of one species of bacteria to the other. It is emphasized that even in the related bacterial species a similar localization on chromosomes was inherent only to some of the unitypical genes, by in this case as well not all the genes were grouped in the same way, and differed by their delicate structure. An idea on the significant role of genetic metabolism in the microbial evolution is being developed; particular significance is attributed to plasmides. It is supposed that foreign plasmides, particularly transmissive factors of multiple drug resistance could aid in charting the chromosomes of bacteria in which the routes of transmission of genetic information are still unknown. A conclusion was drawn on the necessity of intensification and widening the investigations on the molecular genetics of bacteria of significance for public health and public economy.

Chromosome Mapping↗
PubMed2026

ZILA-SRM: a probabilistic framework with zero-inflated latent models for robust strain reconstruction from metagenomes.

UNLABELLED: Resolving bacterial strain diversity from shotgun metagenomic data is fundamental to understanding intra-host evolution, transmission dynamics, and phenotypic heterogeneity. However, current probabilistic approaches face a severe "identifiability limit" when disentangling highly similar genomes. Under high-noise conditions, sequencing errors, coverage overdispersion, and collinearity confound standard expectation-maximization algorithms, resulting in overfitting and spurious "ghost" strains. Here, we introduce zero-inflated latent allocation for strain reconstruction from metagenomes with adaptive sparsity regularization (ZILA-SRM) to overcome this barrier through three innovations. First, we integrate a zero-inflated Poisson mixture model to decouple "structural zeros" (true strain absence) from "sampling zeros" (stochastic dropout), addressing overdispersion in standard Poisson-based tools. Second, we impose a convex adaptive sparsity regularization penalty that leverages biological sparsity priors to shrink noise artifacts dynamically. Third, we implement a graph-theoretic refinement step using maximal clique enumeration to resolve haplotype collinearity. Benchmarking against StrainFinder and MixtureS on 702 synthetic data sets shows that ZILA-SRM achieves a 20% improvement in precision in high-complexity scenarios while maintaining over 80% recall for minor variants at 0.5% abundance. Re-analysis of deep-sequencing data from 195 Mycobacterium tuberculosis clinical samples reveals cryptic low-abundance drug-resistant variants in 12% of patients, including a minor clone carrying the rpoB S450L mutation. Furthermore, application to skin microbiome data sets further reveals a strong negative correlation between dominant Staphylococcus aureus and Staphylococcus epidermidis strains, providing genomic evidence for competitive exclusion. These findings establish ZILA-SRM as a robust tool for resolving strain-level diversity in complex metagenomes. IMPORTANCE: Understanding microbial communities at the strain level is critical because closely related strains can differ dramatically in traits such as drug resistance, virulence, and ecological interactions. However, resolving individual strains from metagenomic sequencing data remains difficult, especially when strains are highly similar or present at low abundance. As a result, biologically meaningful diversity is often obscured or misinterpreted as noise. In this study, we introduce a new framework that improves the reliability of strain reconstruction from complex metagenomic data. By reducing false-positive strain detection while preserving sensitivity to rare variants, our approach enables more accurate characterization of microbial populations. This improved resolution reveals previously hidden subpopulations in clinical and microbiome datasets, providing clearer insights into microbial evolution, competition, and the emergence of clinically relevant traits such as antibiotic resistance.

Metagenomics↗
PubMed2026

A One Health approach to Antimicrobial Resistance: Concepts, challenges, and advances in omics.

Antimicrobial resistance (AMR) is a global threat driven by the interplay between microbial evolution and human activity. Antimicrobial use in human and veterinary medicine, as well as in agriculture, accelerates the selection and dissemination of resistant bacteria and genes across interconnected human, animal, and environmental reservoirs. These dynamic exchanges render single-sector interventions ineffective. A One Health approach integrating human, animal, and environmental health is therefore essential to understand and mitigate the emergence and spread of AMR. This chapter focuses on bacterial antimicrobial resistance, addressing key concepts, major challenges, and emerging technologies within a One Health framework. Advances in next-generation sequencing and omics technologies have transformed our capacity to resolve AMR at unprecedented scale and resolution. These tools enable the tracking of resistance genes and high-risk clones across ecosystems, uncover transmission pathways, and identify key drivers of dissemination. Such insights support real-time epidemiological surveillance, outbreak detection, and targeted interventions. However, translating these advances into routine practice remains a major challenge, requiring harmonized methodologies, data integration, and cross-sector coordination. Addressing AMR demands sustained collaboration across disciplines and stakeholders, including clinicians, veterinarians, farmers, researchers, policymakers, industry, and the public. And framing AMR as a shared ecological and societal responsibility underscores the urgency of coordinated global action. We call for the urgent integration of One Health principles into surveillance, policy, and innovation to preserve antimicrobial effectiveness and safeguard future health.

Humans↗
PubMed2026

Boreal and subarctic freshwaters harbour a diversity of jumbophages.

Bacteriophages (phages) are major drivers of microbial evolution and ecology, yet their diversity and functional roles remain poorly characterized in many natural environments, such as in freshwater systems. In boreal and subarctic freshwater habitats, where bacteria are typically slow-growing and nutrient-limited, phages are predicted to have a critical role in host regulation and horizontal gene exchange. However, only a few isolates have been obtained from such environments, leaving the genetic and functional diversity of these phages largely unexplored. Here, we present a collection of 40 bacteriophages isolated from boreal lakes and rivers using a set of diverse freshwater bacterial hosts. Despite using conventional isolation methods, eight of the isolates possess genomes larger than 200 kilobases and are classified as jumbophages. All jumbophages exhibited myovirus morphology and comparatively slow infection dynamics. These jumbophages include the first known representatives infecting members of Janthinobacterium and Herbaspirillum. Comparative genomic and phylogenetic analyses show that nearly all genomes are distinct from previously described phages, indicating substantial novelty. Diverse auxiliary metabolic and anti-defence systems were identified, including putative NAD+ salvage and acyl carrier protein modules, along with predicted Anti-Thoeris and Anti-CBASS elements. The Pseudomonas-infecting jumbophage Ahti encoded homologues of all 21 core genes that define the nucleus-forming family Chimalliviridae. Additionally, Ahti displayed compartmentalization of DNA during infection, establishing it as the first freshwater nucleus-forming phage. These findings expand our understanding of the ecological, genomic, and functional diversity of phages in boreal environments and highlight the role of freshwater ecosystems as significant reservoirs of novel viral lineages.

anti-defence systems↗
PubMed2026

High-accuracy SNV calling for bacterial isolates using deep learning with AccuSNV.

Accurate detection of mutations within bacterial species is critical for fundamental studies of microbial evolution, reconstruction of transmission events, and identification of antimicrobial resistance mutations. Although many tools have been developed to identify single-nucleotide variants (SNVs) from whole-genome sequencing, they often suffer from high false-positive rates owing to the complexity of bacterial genomes and the need for different filtering cutoffs across sample types and sequencing depths. As data sets increase in size, the manual filtering required for high accuracy presents a significant obstacle. Here, we present AccuSNV, a novel deep learning-based tool for high-precision and automated bacterial SNV calling. Unlike traditional methods that process one sample at a time, AccuSNV leverages a convolutional neural network (CNN) that integrates alignment information across multiple samples, enhancing precision through learned across-sample patterns. We evaluate AccuSNV against seven popular SNV-calling tools using simulated data from six bacterial species with varied sequencing depths, numbers of isolates, mutations, and divergence levels. To further validate its real-world utility, we test AccuSNV on multiple curated bacterial data sets containing reported SNVs. In both simulated and real-world scenarios, AccuSNV consistently achieves the best performance. Moreover, AccuSNV provides comprehensive user-friendly downstream analysis modules and outputs, including mutation annotation information, phylogenetic inference, d N/d S calculations, and optional manual filtering. Together with the automated deep learning-based calling, these features make AccuSNV broadly accessible to users with different levels of computational expertise.

Deep Learning↗
PubMed1976

Enzyme evolution in a microbial community growing on the herbicide Dalapon.

A seven-membered microbial community capable of utilising the herbicide Dalapon has been isolated by continuous-flow enrichment culture. The composition of this community has remained remarkably stable over thousands of hours in a Dalapon-limited chemostat. During this period, however, one member of the community, Pseudomonas putida, acquired the ability to grow on Dalapon through the evolution of an extant dehalogenase.

Biological Evolution↗
PubMedDate not supplied

Microbial contributions to the evolution of the 'steady state' carbon dioxide system.

Various processes for the production of carbon dioxide by microorganisms are presented. It is postulated that a 'microniche' developed in a reducing environment; a symbiotic relationship between alga-like organisms and bacterium-like organisms in the 'microniche' governed the production of carbon dioxide resulting in the establishment of the steady state carbon dioxide system in the sea.

Amino Acids↗
PubMed2026

Interspecies Exchange of Mobile Genetic Elements During a Plant Disease Outbreak.

Outbreak sequencing provides insight into the origin and evolutionary processes acting on emerging pathogens. Sequencing a historic multihost outbreak of Ralstonia spp. in Martinique shows the outbreak was caused by two lineages that diverged at separate times from mainland populations. One lineage (Ralstonia pseudosolanacearum I-18) was originally introduced from Asia to South America, where it became well established prior to its dissemination to Martinique, where it retains a signature of specialization on solanaceous hosts. The novel lineage first identified during the outbreak (Ralstonia solanacearum IIB-4NPB) arose from a mainland population endemic to the Americas prior to its arrival in Martinique, where host-range expansion was observed. In contrast to minor changes in secreted effector protein repertoires, the emergent R. solanacearum IIB-4NPB acquired a novel integrative and conjugative element (ICERsoRUN1145). After identifying all Ralstonia spp. ICEs and mapping their spatial and phylogenetic distribution among Ralstonia spp. sampled during the outbreak, we found closely related ICEs circulating in mainland populations of R. pseudosolanacearum, indicating likely exchange between introduced and endemic Ralstonia spp. The family of ICEs in Ralstonia (ICERs) has a conserved bipartite structure and display a striking pattern of functional specialization in each cargo gene insertion hotspot: the first hotspot is a target for metabolic gene acquisition, and the second is a target for defense element acquisition. This work provides unparalleled phylogenetic and spatial resolution of an unusual outbreak and highlights the role of horizontal transfer in shaping the ecological success of an emerging pathogen.

Plant Diseases↗
PubMed2026

The antimicrobial gut resistome of the Wayampi reveals a shared background of antibiotic and metal resistance genes with industrialized populations, underscoring the "robust-yet-fragile" architecture of human gut microbiomes.

BACKGROUND: Metagenomics enables detailed profiling of genes encoding antimicrobial resistance. However, most studies focus exclusively on antibiotic resistance genes (ARGs), excluding those associated with non-antibiotic antimicrobials (metals, biocides), and often rely on methods with low-sensitivity and low-specificity. Furthermore, they rarely examine populations exposed to minimal anthropogenic pollution. We analyzed fecal resistomes of 95 Wayampi individuals, an Indigenous community in remote French Guiana, using a targeted metagenomic capture platform covering 8667 genes, including ARGs, metal resistance genes (MRGs) and biocide resistance genes (BRGs) (PMID: 29335005). Resistome profiles were compared with those of Europeans to assess population-level differences. RESULTS: ARG richness was similar between groups (259 in Wayampi vs. 264 in Europeans, 159 shared), but MRGs&#x2009;+&#x2009;BRGs gene richness was significantly higher in Wayampi (11,930 vs. 7419). Most genes appeared in a minority of individuals (mean 5% for ARGs, 2% for MRGs&#x2009;+&#x2009;BRGs), but several ARGs for tetracyclines [tet(32), tet(40), tet(O), tet(Q), tet(W), tet(X), tetAB(P)], aminoglycosides (ant6'-I, aph3-III), macrolides (ermB, ermF, mefA), and sulfonamides (sul2) were present in all individuals. Tetracycline resistance genes predominated overall, while beta-lactam resistance genes were more common in Wayampi, and genes conferring resistance to aminoglycosides, amphenicols, and folate inhibitors were more frequent in Europeans. Among MRGs, copper and arsenic resistance genes prevailed in both groups, followed by those for zinc, iron, cobalt, and nickel. Up to 76% of Wayampiis carried acquired MRGs for copper (pcoABCDRS and tcrB), silver (silACFPRS), arsenic (ars), and mercury (mer) detoxification. Shannon diversity indices were similar for ARGs, MRGs, and BRGs, but composition and evenness differed significantly. UMAP and ADONIS analyses distinguished cohorts based on ARG profiles (p&#x2009;<&#x2009;0.001), but not on MRGs or BRGs. Correlation analysis revealed conserved gene-sharing networks and introgression of acquired ARGs and MRGs within both gut microbiomes. CONCLUSIONS: The diverse and balanced Wayampi resistome reflects a less perturbed microbiome compared to industrialized populations, and reveals a background of "core" and "shell" acquired ARGs and MRGs, consistent with the "robust-yet-fragile" architecture of scale-free networks. The patchy yet resilient gene distribution suggests varying levels of conserved gene sharing highways among populations, likely shaped by long-term microbial-human evolution, and supports a broader view on acquired antimicrobial resistance. Video Abstract.

Humans↗