Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.06.16.732483

Evolutionary Coupling of Flagellar Motility and Type VI Secretion Systems Across Bacteria

Abstract

Bacteria use both motility and antagonism to compete in spatially structured environments, but whether these traits evolve together across broad bacterial diversity remains unclear. We developed a spatial kin-competition model predicting that motility should couple robustly with contact-dependent weapons by increasing encounter rates with competitors, whereas coupling with diffusible weapons should be weaker and context-dependent. To test these predictions, we performed a comprehensive analysis of 11,365 bacterial genomes across the Tree of Life (ToL). By utilising large-scale homology-based searches, we annotated flagellar, T6SS, and bacteriocin components and then applied phylogenetic comparative models to examine evolutionary associations. T6SS presence was strongly associated with flagellar motility: T6SS-positive lineages were predominantly flagellated, and BayesTraits supported a dependent model of FliC and T6SS evolution. In contrast, bacteriocins showed no detectable evolutionary coupling with flagellar motility. Transition-rate analyses further indicated that T6SS gain was strongly biased towards motile lineages, even though T6SS loss was common overall. These results support an asymmetric macroevolutionary relationship between bacterial motility and antagonism, in which flagellar motility is robustly coupled to contact-dependent competition but not to diffusible antagonistic systems.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Philip, J. S., McNally, L., Baker, M. A.. 2026-06-17. Evolutionary Coupling of Flagellar Motility and Type VI Secretion Systems Across Bacteria. https://doi.org/10.64898/2026.06.16.732483

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Craniofacial suture complexity and digging mode importance in rodents

The morphology of cranial sutures (i.e., joints that connect the bones of the skull, are sites of growth, and absorb biomechanical stresses) is highly variable, especially in mammals. Exposure to different strain regimes as a result of development, function, and ecology can drive disparity in suture complexity at both the individual and taxonomic levels. Although the relationships between diet, muscle mass, static loading, and certain behaviors (e.g., headbutting) and suture morphology are well studied, the effects of fossoriality, particularly the use of the craniodental apparatus during substrate excavation, remain largely unknown. We synthesize data using an ordinal ranking scheme for digging mode importance in 107 rodent species; premaxillofrontal and nasofrontal suture complexity as measured by sinuosity index, power spectrum density, and spectral entropy, the latter of which is a novel suture complexity metric; and Bayesian multilevel models to examine the fossoriality-suture phenotype relationship at the suborder level and above and predict digging mode usage in 11 cryptic extant species. Most fossorial rodents utilize multiple digging modes, often at varying levels of importance. Chisel-tooth digging importance is associated with reduced nasofrontal suture complexity in multiple suborders, whereas scratch digging importance is correlated with elevated complexity in the premaxillofrontal suture. Suture complexity poorly reflects head-lift digging importance. We demonstrate that fossorial function is a complex, multivariate trait and reveal new insights into the functional morphology of cranial sutures across the most diverse mammalian order.

evolutionary biology↗

Lack of Evidence for Local Adaptation in Risk Tolerance: A Genetic Study in Northern Senegal.

Risk tolerance is influenced by both environmental and genetic factors and may be shaped by local selective pressures in hazardous environments. In Northern Senegal, fishermen from the village of Guet Ndar are chronically exposed to high occupational mortality risk, making this population a potential model for local adaptation to risky environments. In a previous study, we showed that men from this fishing community were less risk-tolerant than men from a nearby farming village, although this difference could not be explained by variation at the DRD4 locus. Here, we investigated whether genetic variants previously associated with general risk tolerance in large genome-wide association studies (GWAS) exhibit signals of local adaptation in these Senegalese populations. We genotyped 44 candidate SNPs in 373 individuals sampled from the risky fishing area and the non-risky farming area. Population genetic analyses revealed extremely low and non-significant differentiation between the two populations (mean FST = 0.0003, p = 0.33), indicating that the two groups are genetically indistinguishable at these loci. Furthermore, none of the candidate SNPs showed a significant association with experimentally measured risk tolerance after correction for multiple testing. These results provide no evidence that local adaptation for risky behavior has occurred, several explanations may account for this negative result.

evolutionary biology↗

Resolving Allopolyploid Origins Within the Genus Clarkia Using a Novel Read-Mapping and Modeling Approach

Whole genome duplications are a common occurrence in plants, but this creates challenges for reconstructing the evolutionary history between species, especially when polyploidy is a result of hybridization. While multiple methods have been developed to try to tackle these issues, most are computationally intensive, restrictive on the number of taxa that can be evaluated, and benefit immensely from a priori hypotheses about the allopolyploid progenitors, rendering these methods unfeasible for many understudied polyploids. We present a rapid, low-cost, and computationally light method for determining the relative time of hybridization as well as the most likely progenitor species of a given allopolyploid species, including progenitors that are extinct, ancestral, or unknown. The method utilizes a combined approach of first mapping sequencing reads from the polyploid against a diploid pantranscriptome to generate hypotheses about possible progenitor pairs and then modeling various hybridization scenarios to estimate the likelihood of each hypothesis. We demonstrate the utility of our methods by identifying likely progenitors and times of origin for six allotetraploid species from the genus Clarkia. While the methods outlined here do not conclusively confirm the origins of these allopolyploids, they provide well-supported working hypotheses for further intensive exploration.

evolutionary biology↗