There exists an enormous diversity of bacteria capable of human infection, but no up-to-date, publicly accessible list is available. Combining a pragmatic definition of pathogenicity with an extensive search strategy, we report 1513 bacterial pathogens known to infect humans described pre-2021. Of these, 73 % were regarded as established (have infected at least three persons in three or more references) and 27 % as putative (fewer than three known cases). Pathogen species belong to 10 phyla and 24 classes scattered throughout the bacterial phylogeny. We show that new human pathogens are discovered at a rapid rate. Finally, we discuss how our results could be expanded to a database, which could provide a useful resource for microbiologists. Our list is freely available and archived on GitHub and Zenodo and we have provided walkthroughs to facilitate access and use.

Lateral gene transfer is of fundamental importance to the evolution of prokaryote genomes and has important practical consequences, as evidenced by the rapid dissemination of antibiotic resistance and virulence determinants. Relatively little effort has so far been devoted to explicitly quantifying the rate at which accessory genes are taken up and lost, but it is possible that the combined rate of lateral gene transfer and gene loss is higher than that of point mutation. What evolutionary forces underlie the rate of lateral gene transfer are not well understood. We here use theory developed to explain the evolution of mutation rates to address this question and explore its consequences for the study of prokaryote evolution.

Many prokaryote species are known to have fluid genomes, with different strains varying markedly in accessory gene content through the combined action of gene loss, gene gain via lateral transfer, as well as gene duplication. However, the evolutionary forces determining genome fluidity are not yet well understood. We here for the first time systematically analyse the degree to which this distinctive genomic feature differs between bacterial species. We find that genome fluidity is positively correlated with synonymous nucleotide diversity of the core genome, a measure of effective population size N_e. No effects of genome size, phylogeny or homologous recombination rate on genome fluidity were found. Our findings are consistent with a scenario where accessory gene content turnover is for a large part dictated by neutral evolution.

Natural transformation is a process where bacterial cells actively take up free DNA from the environment and recombine it into their genome or reconvert it into extra-chromosomal genetic elements. Although this mechanism is known to mediate the uptake of antibiotic resistance determinants in a range of human pathogens, its importance in the spread of antimicrobial resistance is not always appreciated. This review highlights the context in which transformation takes place: in diverse microbiomes, in interaction with other forms of horizontal gene transfer and in increasingly polluted environments. This examination of the abiotic and biotic drivers of transformation reveals that it could be more important in the dissemination of resistance genes than is often recognised.

Although their diversity greatly exceeds that of plants and animals, microbial organisms have historically received less attention in ecology and evolutionary biology research. This knowledge gap is rapidly closing, owing to recent technological advances and an increasing appreciation for the role microbes play in shaping ecosystems and human health. In this review, we examine when and how the process and patterns of bacterial adaptation might fundamentally differ from those of macrobes, highlight methods used to measure adaptation in natural microbial populations, and discuss the importance of examining bacterial adaptation across multiple scales. We emphasize the need to consider the scales of adaptation as continua, in which the genetic makeup of bacteria blur boundaries between populations, species, and communities and with them concepts of ecological and evolutionary time. Finally, we examine current directions of the field as we move beyond the stamp-collecting phase and toward a better understanding of microbial adaptation in nature.

Bacteria interact with a multitude of other organisms, many of which produce antimicrobials. Selection for resistance to these antimicrobials has the potential to result in resistance to clinical antibiotics when active compounds target the same bacterial pathways. The possibility of such cross‐resistance between natural antimicrobials and antibiotics has to our knowledge received very little attention. The antimicrobial activity of extracts from seaweeds, known to be prolific producers of antimicrobials, is here tested against Staphylococcus aureus isolates with varied clinical antibiotic resistance profiles. An overall effect consistent with cross‐resistance is demonstrated, with multidrug‐resistant S. aureus strains being on average more resistant to seaweed extracts. This pattern could potentially indicate that evolution of resistance to antimicrobials in the natural environment could lead to resistance against clinical antibiotics. However, patterns of antimicrobial activity of individual seaweed extracts vary considerably and include collateral sensitivity, where increased resistance to a particular antibiotic is associated with decreased resistance to a particular seaweed extract. Our correlation‐based methods allow the identification of antimicrobial extracts bearing most promise for downstream active compound identification and pharmacological testing.