Search bioRxiv⌕ Search

Biology subjects

Richard, X.

Publications and source records attributed to Richard, X..

4 recordsLinked to original sources

Spatially mediated interactions shape founder-cell fitness and community assembly in multi-species soil bacteria

Microbial communities spontaneously colonize pristine environments, yet how species growth kinetics and individual cell variation shape community assembly remains poorly understood. Here, we use time-lapse microscopy imaging to track the division of individual founder cells in communities composed of up to seven soil bacterial isolates grown on nutrient surfaces. With cell lineage tracking, we quantify species-specific absolute biomass formation and growth kinetics from early growth through stationary phase. The reproductive success of individual founder cells depended on the timing of their first cell division, which determined their access to the primary substrate and their maximum growth rates. In mixed-species communities, founder cell success also depended on species-specific, substrate-dependent growth rates and yields. In addition, spatial factors - such as cells positioning, distances to non-kin neighbours, and identities of co-occurring species - further influenced outcomes. In spatially structured communities, interspecific interactions were globally governed by competition for primary substrates. We also observed cross-feeding of leaked metabolites, reflected in fluctuating paired interaction strengths and interaction signs. Species-pair interactions differed locally, with cells within distances of less than 15 {micro}m exhibiting opposite interaction behaviours. Global pairwise interactions predicted from monoculture growth kinetics were observed in approximately half of the measured pairs, whereas measured paired interactions generally weakened in combinations of three or more species. Using a spatially explicit agent-based Monod growth model that includes interspecific interactions, we accurately predicted the compositions of seven-member communities. Overall, our results indicate that emergent, spatially mediated interspecific interactions between cells of different bacterial species primarily drive local and temporal changes in individual cell growth rates, which in turn determine final biomass formation. Because most natural microbial habitats are spatially structured, stochastic founder-cell positioning and fitness differences are key determinants of locally formed interaction patterns and species coexistence.

microbiology↗

Inferring Bacterial Interspecific Interactions from Microcolony Growth Expansion

Interactions between species are thought to be crucial for modulating their growth and behaviour within communities, and determinant for the emergence of community functions. Several different interaction concepts exist, but there is no consensus on how interactions should be quantified and integrated in community growth theory. Here we expand on existing concepts of real-time measurements of pure culture microcolony growth to develop and benchmark coculture microcolony experiments, and show how these can both parametrize growth kinetic and interspecific interaction effects. We follow surface growth by time-lapse microscopy of fluorescently tagged Pseudomonas putida and Pseudomonas veronii under substrate competition with succinate, or under substrate indifference with D-mannitol and putrescine. Monoculture-grown microcolonies showed substrate concentration dependent expansion rates as expected from Monod relations, whereas individual microcolony yields were strongly dependent on densities and spatial positioning of founder cells. Maximum specific growth rates in cocultures under substrate competition were diminished by ca. 15%, which was seeding-density independent. The collective P. putida population dominated growth over that of P. veronii, but with 27% yield loss under competition compared to monoculture growth; and 90% for that of P. veronii. Incidental local reversal of competition was observed where P. veronii microcolonies profited at the detriment of P. putida, and between 9 and 43% of P. veronii microcolonies grew bigger than expected from bulk competition, depending on seeding density. Simulations with a cell-agent Monod surface growth model suggested that colony expansion rate decrease in competitive coculture is caused by metabolite cross-feeding, which was supported by exometabolite analysis during and after growth of the strains on their individual or swapped supernatant. Coculture microcolony growth experiments thus provide a flexible platform for analysis of kinetic and interspecific interactions, expanding from individual microcolony phenotypic effects to averaged behaviour across all microcolony pairs. The system in theory is scalable to follow real-time growth of multiple species simultaneously into communities.

microbiology↗

An analog to digital converter controls bistable transfer competence of a widespread integrative and conjugative element

Conjugative transfer of the integrative and conjugative element ICEclc in Pseudomonas requires development of a transfer competence state in stationary phase, which arises only in 3-5% of individual cells. The mechanisms controlling this bistable switch between non-active and transfer competent cells have long remained enigmatic. Using a variety of genetic tools and epistasis experiments in P. putida, we uncovered an upstream cascade of three consecutive transcription factor-nodes, which controls transfer competence initiation. Initiation activates a feedback loop, which stochastic modeling and experimental data demonstrated acts as a scalable converter of unimodal input to bistable output. The feedback loop further enables prolonged production of a transcription factor that ensures downstream transfer competence formation in activated cells. Phylogenetic analyses showed that the ICEclc regulatory factors are widespread among Gamma- and Beta-proteobacteria, highlighting its evolutionary conservation and prime importance to control the behaviour of this wide family of conjugative elements.

genomics↗

A four-step regulatory cascade controls bistable transfer competence development of the integrative and conjugative element ICEclc in Pseudomonas

Genetic bistability controls different phenotypic programs in defined subpopulations of genetically identical bacteria. Conjugative transfer of the integrative and conjugative element ICEclc in Pseudomonas requires development of a transfer competence state in stationary phase, but this state arises only in 3-5% of individual cells. The mechanisms controlling and underlying the bistable switch between non-active and transfer competence cells have long remained enigmatic. Using a variety of genetic tools combined with stochastic modeling, we characterize here the factors and overall network architecture controlling bistable ICEclc activation of transfer competence. Two new key regulators (BisR and BisDC) were uncovered, that link the hierarchical cascade of ICEclc transfer competence activation to in total four regulatory nodes. The final activator complex named BisDC drives a positive feedback on its own transcription, and directly controls the "late" ICE promoters for excision and transfer. Stochastic mathematical modeling conceptually explained the arisal and maintenance of bistability by the feedback loop, and demonstrated its importance to guarantee consistent prolonged downstream output in activated cells. A minimized gene set allowing controllable bistable output in a Pseudomonas putida in absence of the ICEclc largely confirmed model predictions. Phylogenetic analyses further showed that the two new ICEclc regulatory factors are widespread among putative ICEs found in Gamma- and Beta- proteobacteria, highlighting the conceptual importance of our findings for the behaviour of this wide family of conjugative elements. Author summaryIntegrative and conjugative elements (ICEs) are mobile genetic elements present in virtually every bacterial species, which can confer adaptive functions to their host, such as antibiotic resistance or xenometabolic pathways. Integrated ICEs maintain by replication along with the genome of their bacterial host, but in order to transfer, the ICE excises and conjugates into a new recipient cell. Single-cell studies on a unique but widely representative ICE model from Pseudomonas (ICEclc) showed that transfer only occurs from a small dedicated subpopulation of cells that arises during stationary phase conditions. This bistable subpopulation differentiation is highly significant for ICE behaviour and fitness, but how it is regulated has remained largely unknown. The present work unveiled the architecture of the ICEclc transfer competence regulation, and showed its widespread occurrence among ICEs of the same family. Stochastic mathematical modeling explained how bistability is generated and maintained, prolonging the capacity of stationary phase cells to complete all stages of ICE activation.

microbiology↗