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Ciolli Mattioli, C.

Publications and source records attributed to Ciolli Mattioli, C..

5 recordsLinked to original sources

Image-based transposon screening reveals a flavin reductase that restrains intracellular Salmonella replication in macrophages

Intracellular bacterial pathogens can survive and replicate within host cells, yet an isogenic population follows divergent fates: some bacteria are killed, some arrest growth, and others replicate to high numbers. Identifying the bacterial functions behind each fate requires recovering mutants from within the host cells displaying it. But systematic approaches, such as transposon insertion analysis, can only estimate fitness of mutants from the whole infected population. Here, we developed an approach that couples a genome-wide mutagenesis library to image-enabled cell sorting (ICS), sorting infected cells by the number of bacteria they contain and assigning mutants to defined replication outcomes. We applied this approach to Salmonella enterica serovar Typhimurium (S.Tm) in macrophages, and revealed genes required for replication from genes that restrain it, whose disruption increased replication. Among the latter we identified the cytosolic flavin reductase Fre, which supplies reduced flavins to a broad range of bacterial processes. We uncovered a mechanism whereby loss of fre protected S.Tm from oxidative and nitrosative damage and increased bacterial numbers. Inside macrophages this advantage was mediated by the upregulation of the iron-sulfur-independent cytochrome bd-I oxidase. By resolving a mutant library into phenotypically defined subpopulations, this framework can be applied to characterize bacterial or host genes that drive infection phenotypes in any infection model.

microbiology↗

Single-cell transcriptome imaging reveals conserved and virulence-linked phenotypic states in bacteria

Single-cell phenotypic diversity underlies fundamental bacterial behaviors. Resolving this heterogeneity at scale while maintaining sensitive detection remains a central challenge. Here, we address this gap by combining the strengths of single-molecule fluorescence in situ hybridization (smFISH) and transcriptome-wide sequencing. We present par2FISH, a framework for discovering transcriptionally defined subpopulations across conditions by multiplexing tens of thousands of smFISH reactions. Through comparative single-cell transcriptomics in Escherichia coli and Salmonella, we uncover conserved and species-specific patterns of heterogeneity, including mutually exclusive states, coordinated metabolic specialization, and differential activation of virulence programs. We further obtain complete transcriptomes for selected subpopulations using marker-based cell sorting and RNA-sequencing (FACS-RNA-seq). This integrated strategy paves the way for exposing bacterial phenotypic landscapes and the environmental, physiological, and evolutionary factors that shape them.

microbiology↗

Physiological stress drives the emergence of a Salmonella subpopulation through ribosomal RNA regulation

Bacteria undergo cycles of growth and starvation, to which they must adapt swiftly. One important strategy for adjusting growth rates relies on ribosomal levels. While high ribosomal levels are required for fast growth, their dynamics during starvation remain unclear. Here, we analyzed ribosomal RNA (rRNA) content of individual Salmonella cells using Fluorescence In-Situ Hybridization (rRNA-FISH). During the transition from exponential to stationary phase we measured a dramatic decrease in rRNA numbers only in a subpopulation, resulting in a bimodal distribution of cells with high and low rRNA content. We showed that the two subpopulations are phenotypically distinct when subjected to nutritional upshifts. Using a transposon screen coupled with rRNA-FISH, we identified two mutants acting on rRNA transcription shutdown and degradation, that abolished the formation of the subpopulation with low rRNA content. Our work suggests that Salmonella employs a bet-hedging strategy in regulating ribosomal levels that may be beneficial for survival.

microbiology↗

Paired single-cell host profiling with multiplex-tagged bacterial mutants reveals intracellular virulence-immune networks

Encounters between host cells and intracellular bacterial pathogens lead to complex phenotypes that determine the outcome of infection. Single-cell RNA-sequencing (scRNA-seq) are increasingly used to study the host factors underlying diverse cellular phenotypes. But current approaches do not permit the simultaneous unbiased study of both host and bacterial factors during infection. Here, we developed scPAIR-seq, an approach to analyze both host and pathogen factors during infection by combining multiplex-tagged mutant bacterial library with scRNA-seq to identify mutant-specific changes in host transcriptomes. We applied scPAIR-seq to macrophages infected with a library of Salmonella Typhimurium secretion system effector mutants. We developed a pipeline to independently analyze redundancy between effectors and mutant-specific unique fingerprints, and mapped the global virulence network of each individual effector by its impact on host immune pathways. ScPAIR-seq is a powerful tool to untangle bacterial virulence strategies and their complex interplay with host defense strategies that drive infection outcome.

microbiology↗

Trans control of cardiac mRNA translation in a protein length-dependent fashion

Little is known about the impact of naturally occurring genetic variation on the rates with which proteins are synthesized by ribosomes. Here, we investigate how genetic influences on mRNA translational efficiency are associated with complex disease phenotypes using a panel of rat recombinant inbred lines. We identify a locus for cardiac hypertrophy that is associated with a translatome-wide and protein length-dependent shift in translational efficiency. This master regulator primarily affects the translation of very short and very long protein-coding sequences, altering the physiological stoichiometric translation rates of sarcomere proteins. Mechanistic dissection of this locus points to altered ribosome assembly, characterized by accumulation of polysome half-mers, changed ribosomal configurations and misregulation of the small nucleolar RNA SNORA48. We postulate that this locus enhances a pre-existing negative correlation between protein length and translation initiation in diseased hearts. Our work shows that a single genomic locus can trigger a complex, translation-driven molecular mechanism that contributes to phenotypic variability between individuals. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/133298v1_ufig1.gif" ALT="Figure 1"> View larger version (62K): org.highwire.dtl.DTLVardef@e46986org.highwire.dtl.DTLVardef@1cc0b08org.highwire.dtl.DTLVardef@e86011org.highwire.dtl.DTLVardef@1fb3706_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGenetic variability impacts protein synthesis rates in a rat model for cardiac hypertrophy C_LIO_LIA trans locus affects stoichiometric translation rates of cardiac sarcomeric proteins C_LIO_LIThis master regulator locus induces a global, protein length-dependent shift in translation C_LIO_LIDysregulated ribosome assembly induces half-mer formation and affects translation initiation rate C_LI

genetics↗