Biology subjects

Jules, M.

Publications and source records attributed to Jules, M..

7 recordsLinked to original sources

bioRxiv2025

ModuloStat: An Internet of Things' Path to Continuous Cultures in Mini-Bioreactors

In continuous culture, a population of microorganisms is propagated in a stable environment over many generations. This is particularly relevant for experimental evolution and metabolic studies. However, continuous culture protocols are difficult to implement, so they are not commonly used in microbiology laboratories. Here, we present the ModuloStat, a modular, open-source framework that facilitates continuous culture in mini-bioreactors. The ModuloStat system is grounded on digital fabrication tools easily accessible in FabLabs and programmable electronics. Maintaining a culture is divided into tasks assigned to dedicated printed circuit boards with a microcontroller connected to a Wi-Fi network. According to Internet of Things principles, each board operates a set of sensors and actuators autonomously and can receive and send information. The boards are stacked to implement complex behaviors and can be modified to accommodate new features. A thermoregulated box holds the components and can be placed on a laboratory bench or transported under a sterile hood for inoculation. Sterility is ensured by autoclaving, after assembly, all components that will come into contact with the culture medium. In-situ optical density monitoring combined with modularity and computer control enables many cultivation modes. Additionally, we present the construction of the Bacillus subtilis strain ZB designed for bioreactor culture that exhibits a zero-biofilm phenotype. To demonstrate the systems versatility, we performed several experimental cultures with this model organism, including chemostat, turbidostat, medium swap, and a cascade of bioreactors. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=97 SRC="FIGDIR/small/669317v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@16b3bbborg.highwire.dtl.DTLVardef@11ea708org.highwire.dtl.DTLVardef@1681769org.highwire.dtl.DTLVardef@d91946_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2025

Cell-free genome-wide transcriptomics through machine learning optimization

1Despite advances in transcriptomics, understanding of genome regulation remains limited by the complex interactions within living cells. To address this, we performed cell-free transcriptomics by developing a platform using an active learning workflow to explore over 1,000,000 buffer conditions. This enabled us to identify a buffer that increased mRNA yield by 20-fold, enabling cell-free transcriptomics. By employing increasingly complex conditions, our approach untangles the regulatory layers controlling genome expression.

synthetic biology↗

bioRxiv2023

The mutational landscape of Bacillus subtilis conditional hypermutators suggests how proofreading inherently skews polymerase error rates

Polymerase errors during DNA replication are a major source of point mutations in genomes. The resulting rate of spontaneous mutation also depends on the counteracting activity of DNA repair mechanisms, with mutator phenotypes appearing constantly and allowing for periods of rapid evolution in nature and in the laboratory. Here, we use the Gram-positive model bacterium Bacillus subtilis to disentangle the contributions of DNA polymerase initial nucleotide selectivity, DNA polymerase proofreading, and mismatch repair (MMR) to the mutation rate. To achieve this, we constructed several conditional hypermutators with a proofreading-deficient allele of polC and/or a deficient allele of mutL and performed mutation accumulation experiments. With their wide range of mutation rates and contrasting mutation profiles, these conditional hypermutators enrich the B. subtilis synthetic biology toolbox for directed evolution. Using mathematical models, we investigated how to interpret the apparent probabilities with which errors escape MMR and proofreading, highlighting the difficulties of working with counts that aggregate potentially heterogeneous mutations and with unknowns about the pathways leading to mutations in the wild-type. Aware of these difficulties, the analysis shows that proofreading prevents partial saturation of the MMR in B. subtilis and that an inherent drawback of proofreading is to skew the net polymerase error rates by amplifying intrinsic biases in nucleotide selectivity.

genomics↗

bioRxiv2023

Complex sporulation-specific expression of transcription termination factor Rho highlights its involvement in Bacillus subtilis cell differentiation

Transcription termination factor Rho controls pervasive, mainly antisense, transcription initiated at cryptic signals or resulting from read-through at weak terminators in various bacterial species. In Bacillus subtilis, Rho is intricately involved in the regulation of phenomena associated with the adaptation to stationary phase and cell differentiation including the ultimate survival program of sporulation. While knockout or overexpression of the rho gene alters global transcription and modifies cell physiology, in wild-type B. subtilis cells, the reduction of Rho levels during the transition to stationary phase is necessary for both initiation and implementation of the sporulation program. However, the mechanisms that govern Rho expression throughout the cell cycle remain largely unknown. Here, we demonstrate that, besides the previously identified vegetative SigA-dependent promoter active during exponential growth, two distinct mechanisms ensure a spatiotemporal expression of the rho gene during sporulation. In the mother cell of the sporangium, rho expression occurs through the read-through transcription initiated at the distal SigH-dependent and Spo0A[~]P-regulated promoter of the spo0F gene. In the forespore, rho is transcribed from a genuine promoter recognized by the alternative sigma factor SigF. These regulatory elements compensate for the inactivation of SigA-dependent rho expression at the end of exponential growth and allow the critical "refueling" of Rho protein in both compartments of the sporangium. We show that altering rho expression in the mother cell or in the forespore affects differently the properties and the morphology of mature spores. Moreover, spores formed in the absence of Rho are impaired in their ability to revive under favorable growth conditions, exhibiting accelerated germination and slow outgrowth. Finally, we show that optimal outgrowth of the wild-type spores requires the expression of rho during spore maturation and additionally after spore germination.

microbiology↗

bioRxiv2022

Termination factor Rho mediates transcriptional reprogramming of Bacillus subtilis stationary phase.

Reprogramming of gene expression during transition from exponential growth to stationary phase is crucial for bacterial survival. In the model Gram-positive bacterium Bacillus subtilis, this process is mainly governed by the activity of the global transcription regulators AbrB, CodY and Spo0A. We recently showed that the transcription termination factor Rho, known for its ubiquitous role in the inhibition of antisense transcription, is involved in Spo0A-mediated regulation of differentiation programs specific to the stationary phase in B. subtilis. To identify other aspects of the regulatory role of Rho during adaptation to starvation, we have constructed a B. subtilis strain that expresses rho at a relatively stable high level in order to circumvent its decrease occurring in the wild-type cells entering the stationary phase. We show that B. subtilis cells stably expressing Rho fail to sporulate and to develop genetic competence, which is largely, but not exclusively, due to abnormally low expression of the master regulator Spo0A. Moreover, in addition to a global decrease of antisense transcription, these cells exhibit genome-wide alterations of sense transcription. A significant part of these alterations affects genes from global regulatory networks of cellular adaptation to the stationary phase and reflects the attenuated de-repression of the AbrB and CodY regulons and the weakened stringent response. Accordingly, stabilization of Rho level reprograms stationary phase-specific physiology of B. subtilis cells, negatively affects cellular adaptation to nutrient limitations and alters cell-fate decision-making to such an extent that it blocks development of genetic competence and sporulation. Taken together, these results indicate that the activity of termination factor Rho constitutes a previously unknown layer of control over the stationary phase and post-exponential adaptive strategies in B. subtilis, from the adjustment of cellular metabolism to the activation of survival programs.

microbiology↗

bioRxiv2021

4 SPECIES OF BACTERIA DETERMINISTICALLY FORM A STABLE BIOFILM IN A MILLIFLUIDIC CHANNEL: ASSEMBLY PRINCIPLES

AO_SCPLOWBSTRACTC_SCPLOWMultispecies microbial adherent communities are widespread in nature and organisms but the principles of their assembly and development remain unclear. Yet, the demand to understand and predict the responses of such living communities to environmental changes is increasing, calling for new approaches. Here, we test the possibility to establish a simplified but relevant model of multispecies biofilm in a laboratory setup enabling in situ real-time monitoring of the community development and control of the environmental parameters in order to decipher the mechanisms underlying the formation of the community. Using video-microscopy and species combinatorial approach, we assess the global and individual species spatiotemporal development in millifluidic channels under constant flow of nutrients. Based on quantitative measurements of expansion kinetics, local dynamics and spatial distribution, we demonstrate that the four chosen species (Bacillus thuringiensis, Pseudomonas fluorescens, Kocuria varians and Rhodocyclus sp.) form a dynamical community that deterministically reaches its equilibrium after about 30 hours of growth. We evidence the emergence of complexity in this simplified community as reported by spatial heterogeneity rise and non-monotonic developmental kinetics. We find interspecies interactions consisting in competition for resources -- in particular oxygen -- and both direct and indirect physical interactions but no positive feedback. Thereby, we introduce a model of multispecies adherent community where effective couplings result from individual species quest for fitness optimization in a moving and heterogenous environment. This control and the understanding of this simplified experimental model shall open new avenues to apprehend adherent bacterial communities behavior in a context of rapid global change.

biophysics↗

bioRxiv2018

Differentiation of vegetative cells into spores: a kinetic model applied to Bacillus subtilis

Bacterial spores are formed within vegetative cells as thick-walled bodies resistant to physical and chemical treatments which allow the persistence and dissemination of the bacterial species. Spore-forming bacteria are natural contaminants of food raw materials and sporulation can occur in many environments from farm to fork. In order to predict spore formation over time, we developed a model that describes both the kinetics of growth and the differentiation of vegetative cells into spores. The model includes a classical growth model with the addition of only two sporulation-specific parameters: the probability of each vegetative cell to sporulate, and the time needed to form a spore once the cell is committed to sporulation. The growth-sporulation model was evaluated using the spore-forming, Gram positive bacterium, Bacillus subtilis and the biological meaning of the sporulation-specific parameters was validated using a derivative strain that produces the green fluorescent protein as a marker of sporulation initiation. The model accurately describes the growth and the sporulation kinetics in different environmental conditions and further provides valuable, physiological information on the temporal abilities of vegetative cells to differentiate into spores.\n\nImportanceThe growth-sporulation model we developed accurately describes growth and sporulation kinetics. It describes the progressive transition from vegetative cells to spores with sporulation parameters which are meaningful and relevant to the sporulation process. The first parameter is the mean time required for a vegetative cell to differentiate into a spore (i.e. the duration of the sporulation process). The second sporulation parameter is the probability of each vegetative cell forming a spore over time. This parameter assesses how efficient the sporulation process is, how fast vegetative cells sporulate and how synchronous the bacterial population is for sporulation. The model constitutes a very interesting tool to describe the growth and the sporulation kinetics in different environmental conditions and it provides qualitative information on the sporulation of a bacterial population over time.

microbiology↗