Related Experiment Video
Updated: May 5, 2026

High-throughput Assay to Phenotype Salmonella enterica Typhimurium Association, Invasion, and Replication in Macrophages
Published on: August 12, 2014
Recombination and population structure in Salmonella enterica
Xavier Didelot1, Rory Bowden, Teresa Street
1Department of Statistics, Oxford University, Oxford, United Kingdom.
Abstract:
Salmonella enterica is a bacterial pathogen that causes enteric fever and gastroenteritis in humans and animals. Although its population structure was long described as clonal, based on high linkage disequilibrium between loci typed by enzyme electrophoresis, recent examination of gene sequences has revealed that recombination plays an important evolutionary role. We sequenced around 10% of the core genome of 114 isolates of enterica using a resequencing microarray. Application of two different analysis methods (Structure and ClonalFrame) to our genomic data allowed us to define five clear lineages within S. enterica subspecies enterica, one of which is five times older than the other four and two thirds of the age of the whole subspecies. We show that some of these lineages display more evidence of recombination than others. We also demonstrate that some level of sexual isolation exists between the lineages, so that recombination has occurred predominantly between members of the same lineage. This pattern of recombination is compatible with expectations from the previously described ecological structuring of the enterica population as well as mechanistic barriers to recombination observed in laboratory experiments. In spite of their relatively low level of genetic differentiation, these lineages might therefore represent incipient species.
Related Concept Videos
Viral Recombination
Homologous Recombination
Gene Conversion
Conservative Site-specific Recombination and Phase Variation
The recognition sites for Cre recombinase called LoxP...
Exon Recombination
Exon shuffling follows “splice frame rules.” Each exon...
Evolution of Microbial Genome

