In animals and plants, extracellular ATP (eATP) functions as a signal and regulates the immune response. During inflammation, intestinal bacteria are exposed to elevated eATP originating from the mucosa. However, whether bacteria respond to eATP is unclear. Here, we show that non-pathogenic Escherichia coli responds to eATP by modifying its transcriptional and metabolic landscapes. A genome-scale promoter library showed that the response is dependent on time, concentration, and medium and ATP specific. Second messengers and genes related to metabolism, biofilm formation, and envelope stress were regulated downstream of eATP. Metabolomics confirmed that eATP triggers enrichment of compounds with bioactive properties in the host or bacteria. Combined genome-scale modeling revealed modifications to global metabolic and biomass building blocks. Consequently, eATP altered the sensitivity to antibiotics and antimicrobial peptides. Finally, in pathogens, eATP controlled virulence factor expression. Our results indicate that eATP is an environmental cue in prokaryotes, which broadly regulates physiology, antimicrobial resistance, and virulence.

The capacity of gram-positive streptomycetes to adapt to various environments is reflected in the sheer size of their genomes and the number of encoded regulatory proteins. However, typical studies of Streptomycetes are conducted using media rich in available nutrients. Here, we demonstrate that S. coelicolor colonies respond to nutrient depletion with a phenotype transition. We refer to this phenotype as “foraging growth” for its submerged and continuous growth on depleted media. The foraging phenotype differ distinctly from colonies on nutrient-rich media, in terms of colony morphology, genomic stability and their secretome. The results demonstrate that adaption to nutrient deprivation through foraging is found throughout the phylogeny, indicating it is highly conserved. Furthermore, foraging S. coelicolor gains the ability to inhibit mold on deprived media and exhibits an altered metabolomic profile. An enhanced competitive activity against gram-negative and gram-positive bacteria was also observed among the tested species. These findings highlight the morphological adaptions of streptomycetes during nutrient deprived growth and demonstrate altered secondary metabolite production and that novel antimicrobial activities can be detected. ### Competing Interest Statement The authors have declared no competing interest.

Since the days of the first acknowledged microscopist, Antonie van Leeuwenhoek, the 'animalcules', that is, bacteria and other microbes have been subject to increasingly detailed visualization. With the currently most sophisticated molecular imaging method; cryo electron tomography (Cryo-ET), we are reaching the milestone of being able to image an entire organism in a single dataset at nanometer resolution. Cryo-ET will enable the next revolution in our understanding of bacterial cells, their ultra-structure and intricate molecular nanomachines. Here, we highlight recent research discoveries based on constantly progressing technology developments. We discuss advantages and challenges of using Cryo-ET to visualize spatial structure of microorganisms and macromolecular complexes in their native environment.

Analysis of numerous filamentous structures in an image is often limited by the ability of algorithms to accurately segment complex structures or structures within a dense population. It is even more problematic if these structures continuously grow when recording a time-series of images. To overcome these issues we present DSeg; an image analysis program designed to process time-series image data, as well as single images, to segment filamentous structures. The program includes a robust binary level-set algorithm modified to use size constraints, edge intensity, and past information. We verify our algorithms using synthetic data, differential interference contrast images of filamentous prokaryotes, and transmission electron microscopy images of bacterial adhesion fimbriae. DSeg includes automatic segmentation, tools for analysis, and drift correction, and outputs statistical data such as persistence length, growth rate, and growth direction. The program is available at Sourceforge.

SummaryBacterial cell division is orchestrated by the Z ring, which is formed by single‐stranded treadmilling protofilaments of FtsZ. In Streptomyces, during sporulation, multiple Z rings are assembled and lead to formation of septa that divide a filamentous hyphal cell into tens of prespore compartments. We describe here mutant alleles of ftsZ in Streptomyces coelicolor and Streptomyces venezuelae that perturb cell division in such a way that constriction is initiated along irregular spiral‐shaped paths rather than as regular septa perpendicular to the cell length axis. This conspicuous phenotype is caused by amino acid substitutions F37I and F37R in β strand S2 of FtsZ. The F37I mutation leads, instead of regular Z rings, to formation of relatively stable spiral‐shaped FtsZ structures that are capable of initiating cell constriction. Further, we show that the F37 mutations affect the polymerization properties and impair the cooperativity of FtsZ assembly in vitro. The results suggest that specific residues in β strand S2 of FtsZ affect the conformational switch in FtsZ that underlies assembly cooperativity and enable treadmilling of protofilaments, and that these features are required for formation of regular Z rings. However, the data also indicate FtsZ‐directed cell constriction is not dependent on assembly cooperativity.

Despite low-sequence homology, the intermediate filament (IF)-like protein FilP from Streptomyces coelicolor displays structural and biochemical similarities to the metazoan nuclear IF lamin. FilP, like IF proteins, is composed of central coiled-coil domains interrupted by short linkers and flanked by head and tail domains. FilP polymerizes into repetitive filament bundles with paracrystalline properties. However, the cations Na+ and K+ are found to induce the formation of a FilP hexagonal meshwork with the same 60-nm repetitive unit as the filaments. Studies of polymerization kinetics, in combination with EM techniques, enabled visualization of the basic building block-a transiently soluble rod-shaped FilP molecule-and its assembly into protofilaments and filament bundles. Cryoelectron tomography provided a 3D view of the FilP bundle structure and an original assembly model of an IF-like protein of prokaryotic origin, thereby enabling a comparison with the assembly of metazoan IF.

Coiled-coil domains of intermediate filaments (IF) and prokaryotic IF-like proteins enable oligomerisation and filamentation, and no additional function is ascribed to these coiled-coil domains. However, an IF-like protein from Streptomyces reticuli was reported to display cellulose affinity. We demonstrate that cellulose affinity is an intrinsic property of the IF-like proteins FilP and Scy and the coiled-coil protein DivIVA from the genus Streptomyces. Furthermore, IF-like proteins and DivIVA from other prokaryotic species and metazoan IF display cellulose affinity despite having little sequence homology. Cellulose affinity-based purification is utilised to isolate native FilP protein from the whole cell lysate of S. coelicolor. Moreover, cellulose affinity allowed for the isolation of IF and IF-like protein from the whole cell lysate of C. crescentus and a mouse macrophage cell line. The binding to cellulose is mediated by certain combinations of coiled-coil domains, as demornstrated for FilP and lamin. Fusions of target proteins to cellulose-binding coiled-coil domains allowed for cellulose-based protein purification. The data presented show that cellulose affinity is a novel function of certain coiled-coil domains of IF and IF-like proteins from evolutionary diverse species.

AbstractMotivationQuantitative image analysis of growing filamentous fungi and prokaryotes are important to detect and evaluate morphological effects of growth conditions, compounds and mutations. However, analysis of time-series image data is often limited by the ability of the algorithms to accurately segment structures that are complicated or if an organism is within a crowded population. To overcome these issues we present DSeg; an image analysis program designed to process time-series image data as well as single images to find multiple filamentous structures e.g., filamentous prokaryotes, yeasts and molds using a dynamic segmentation approach. DSeg automatically segments and analyzes objects, includes drift correction, and outputs statistical data such as persistence length, growth rate and growth direction.Availability and implementationDSeg is a free open-source program written in MATLAB. DSeg can be downloaded as a package from https://sourceforge.net/projects/dseg-software.Contactmagnus.andersson@umu.se and hanqing.zhang@umu.seSupplementary informationSupplementary data are available at online.