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

Authors

Giralt-Zuniga, M. J., Jahn, M., Franklin, J. L., Alagesan, K., Kondrot, F., Kaganovitch, E., Hallenga, L., Derado, S., Hughes, K. T., Popp, P. F., Charpentier, E., Dufour, Y. S., Erhardt, M.

Abstract

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.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 22 Aug 2026.

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