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Hallenga, L.

Publications and source records attributed to Hallenga, L..

2 recordsLinked to original sources

The cost-benefit trade-off of peritrichous flagellation in bacteria

Many bacteria assemble multiple flagella, although building flagella imposes a substantial biosynthetic and energetic cost. We used the peritrichously flagellated model organism Salmonella enterica to quantify how flagellar abundance affects bacterial growth, proteome allocation, and motility. For this, we generated genetically modified strains with inducible or constitutive expression of the flagellar master regulator flhDC, resulting in a panel of strains ranging from nearly non-flagellated to hyperflagellated cells. We found that higher flagellar investment reduced growth rate and redirected proteome allocation, with an expansion of the flagellar sector occurring largely at the expense of the ribosomal sector. Growth analyses of flagellar assembly mutants, combined with cost modeling, suggested that flagellin biosynthesis dominated the energetic burden, whereas motor rotation contributed a smaller additional cost. Despite the associated cost, increased flagellation improved soft-agar spreading, single-cell swimming speed, effective diffusivity, and competitive fitness in spatially structured environments. A coarse-grained proteome-allocation model parametrized from these data reproduced the observed growth penalties, while simulations of navigation in dynamic chemical gradients predicted that motility benefits saturate near a flagellar investment of 3% of proteome mass. Beyond this point, rising biosynthetic costs outweigh diminishing motility gains. In summary, these results support a quantitative cost-benefit model in which heterogeneous, spatially structured environments favor an intermediate number of flagella by balancing motility benefits against the biosynthetic costs of building and operating multiple flagella.

microbiology↗

BactoMate: an integrated platform for reproducible bacterial microscopy analysis

Quantitative microscopy of microorganisms increasingly produces large, multidimensional datasets, yet their analysis often depends on fragmented workflows spanning file conversion, segmentation, quality control, fluorescence quantification, tracking, and visualization. Here, we present BactoMate, an open-source, cross-platform graphical user interface that integrates these steps into a unified workflow for microbial image analysis. BactoMate incorporates established segmentation methods and supports both single-file and batch processing. Its modules enable image preprocessing, cell segmentation, morphology-based quality control, fluorescence and foci quantification, single-cell tracking, lineage reconstruction, structured data export, and generation of quality-control and visualization outputs. We demonstrate the applicability of BactoMate across multichannel fluorescence imaging, bacterial swimming assays, microcolony lineage analysis, phage infection assay and a microfluidic time series. All user-configurable parameters are exposed through the interface, are recorded alongside structured outputs and can be loaded for reproducible image analyses across experiments to reduce introduction of bias. By reducing workflow handoffs while preserving parameter control and exportable results, BactoMate enables accessible, reproducible, and scalable quantitative analysis of microbial microscopy data.

microbiology↗