Losing Genes in Sequence Propelled the Global Rise of Monophasic Salmonella ST34

A sweeping genomic investigation has revealed that one of the world’s most successful foodborne pathogens rose to dominance not by gaining new genetic tools, but by discarding them in a precise, stepwise fashion. In a study published in Nature Microbiology, an international team led by Xiaolei Wu and Min Yue of Zhejiang University and the University of Chinese Academy of Sciences analyzed the genomes of 44,597 Salmonella enterica serovar Typhimurium isolates and traced the global expansion of its monophasic variant, known as monophasic Salmonella Typhimurium ST34, to an ordered sequence of gene-loss events. The findings offer a rare mechanistic account of how a bacterial lineage can re-engineer itself for epidemic success and provide a framework for anticipating the emergence of future pandemic clones.

Salmonella Typhimurium is among the leading causes of foodborne gastroenteritis worldwide, and its monophasic variant—distinguished serologically by the absence of one of its two flagellar phases—has surged in prevalence across Europe, the Americas and Asia over recent decades. The lineage, which belongs to sequence type 34 and typically displays the antigenic formula 4,[5],12:i:-, has repeatedly been implicated in outbreaks linked to pork, poultry and processed foods. Yet despite its clear epidemiological importance, the genetic determinants that allowed this clone to outcompete its biphasic ancestor, the previously prevalent ST19 lineage, had remained uncertain. The new study set out to resolve that question at unprecedented scale.

The team’s comparative analysis of tens of thousands of genomes revealed a striking pattern: the expanding ST34 clone carried a frameshift mutation in dinB, the gene encoding a translesion DNA synthesis polymerase also known as DNA polymerase IV. The mutation, a deletion of a single thymine residue within a homopolymeric tract of seven thymidines near the 5′ end of the gene, introduces a premature stop codon that truncates the 39.7-kilodalton DinB protein to a nonfunctional fragment of roughly 1.9 kilodaltons. Because DinB is normally involved in bypassing damaged DNA templates and in generating genetic diversity under stress, its loss initially appears counterintuitive for a pathogen on the rise.

Functional experiments, however, demonstrated that the crippled polymerase has far-reaching downstream consequences. Transcriptomic profiling showed that the frameshift dinB mutation rewires the expression of flagellar genes, altering the balance between the two phase-one and phase-two flagellin systems that Salmonella uses to evade host immune detection. Specifically, the mutation led to transcriptional changes that favored retention of fliC, which encodes phase-one flagellin, and set the stage for the subsequent loss of fljB, the gene encoding phase-two flagellin. Western blot analyses confirmed that dinB-mutant strains displayed an increased proportion of cells expressing FliC, while in vitro motility assays showed that swimming ability was preserved despite the underlying genetic upheaval.

The physiological consequence of this reprogramming became apparent in infection models. Using transposon insertion sequencing and in vivo competition experiments in mice, the researchers found that the requirements for successful gut colonization shifted once fljB was lost. Genes that were dispensable, or even costly, in the ancestral background became essential or advantageous in the mutant context, and vice versa. The frameshift dinB strain carrying the fljB deletion outcompeted the previously prevalent biphasic ST19 lineage in the intestine, indicating that the combination of the polymerase defect and flagellin loss conferred a measurable competitive advantage within the host environment.

To move beyond correlation, the authors built a temporal evolutionary model that simulated the dynamics of four competing lineages: biphasic ST19, biphasic ST34, ST34 carrying the frameshift dinB, and monophasic ST34 carrying both the frameshift and the fljB deletion. The modeling demonstrated that the chronological order of the events matters critically. The dinB mutation had to precede the loss of fljB for the monophasic clone to expand as observed, and the simulated selection coefficients derived from the model were quantitatively consistent with selection estimates computed from real-world changes in genotype frequencies among human clinical isolates. Sensitivity analyses confirmed that the conclusion held regardless of the initial frequency of ST34, the presence or absence of spatial population structure, or the precise metric used to quantify selection.

This ordered dependency is what the researchers describe as a stepwise pathoadaptation model: a sequence of gene-loss events in which each deletion reshapes the genetic background so that the next loss becomes beneficial rather than deleterious. The concept echoes a growing recognition in microbial evolution that genome reduction can be a creative force. Recent work on Vibrio parahaemolyticus, for example, showed that wave succession within a pandemic clone was likewise driven by gene loss, and earlier studies documented how monophasic Salmonella Typhimurium microevolved during a prolonged epidemic in the United Kingdom. The new study, however, is notable for linking the ecological success of a zoonotic lineage to a specific, mechanistically validated chain of molecular events.

The broader implications extend to public health forecasting. If the emergence of major bacterial clones can depend on relatively simple, ordered mutational steps, then surveillance systems that monitor homopolymeric tracts and other mutation-prone loci may gain predictive power over which lineages are poised to expand. The study’s data resources—including genomic data deposited at the China National GeneBank Database, Enterobase and NCBI, transcriptomic data under accession GSE280131, proteomic data via PRIDE, and transposon-sequencing reads under BioProject PRJNA1347559—provide a substantial foundation for such efforts. The mathematical model code has also been made publicly available on GitHub, enabling other groups to test the generality of the sequential gene-loss framework in other pathogens.

At the same time, the work underscores how little of bacterial adaptation is driven by gene acquisition alone. Monophasic ST34 also carries traits such as copper resistance and heavy-metal tolerance that have been implicated in its persistence in livestock production environments, and antimicrobial resistance remains a defining feature of many circulating clones. But the new analysis places gene loss at the center of the lineage’s rise, reframing flagellar phase variation—a long-studied quirk of Salmonella biology—as a decisive axis of clonal competition. As the authors note, understanding the genetic factors facilitating the emergence of infectious diseases is critical, and this study delivers a concrete mechanistic answer for one of the most consequential zoonotic pathogens of the modern food system. The lesson is uncomfortable but clarifying: for bacteria, sometimes less is more, and the road to pandemic status can be paved by the genes a pathogen leaves behind.

Subject of Research: Stepwise gene loss driving the clonal expansion of monophasic Salmonella Typhimurium ST34

Article Title: Sequential gene loss promotes expansion of monophasic Salmonella Typhimurium ST34

Article References: Wu, X., Wang, T., Jia, C., Zhou, H., Li, Y., Baker, S., & Yue, M. (2026). Sequential gene loss promotes expansion of monophasic Salmonella Typhimurium ST34. Nature Microbiology. https://doi.org/10.1038/s41564-026-02483-4

Image Credits: AI Generated

DOI: 10.1038/s41564-026-02483-4

Keywords: Salmonella Typhimurium, monophasic ST34, gene loss, dinB, flagellin, fljB, pathoadaptation, bacterial evolution, genomic epidemiology, foodborne pathogen, zoonotic disease, Nature Microbiology