Rapid dissemination of host metabolism-manipulating genes via integrative and conjugative elements.
Elena ColombiFrederic BertelsGuilhem DoulcierEllen McConnellTatyana PichuginaKee Hoon SohnChristina StraubHonour C McCannPaul B RaineyPublished in: Proceedings of the National Academy of Sciences of the United States of America (2024)
Integrative and conjugative elements (ICEs) are self-transmissible mobile elements that transfer functional genetic units across broad phylogenetic distances. Accessory genes shuttled by ICEs can make significant contributions to bacterial fitness. Most ICEs characterized to date encode readily observable phenotypes contributing to symbiosis, pathogenicity, and antimicrobial resistance, yet the majority of ICEs carry genes of unknown function. Recent observations of rapid acquisition of ICEs in a pandemic lineage of Pseudomonas syringae pv. actinidae led to investigation of the structural and functional diversity of these elements. Fifty-three unique ICE types were identified across the P. syringae species complex. Together they form a distinct family of ICEs (PsICEs) that share a distant relationship to ICEs found in Pseudomonas aeruginosa . PsICEs are defined by conserved backbone genes punctuated by an array of accessory cargo genes, are highly recombinogenic, and display distinct evolutionary histories compared to their bacterial hosts. The most common cargo is a recently disseminated 16-kb mobile genetic element designated Tn 6212 . Deletion of Tn 6212 did not alter pathogen growth in planta, but mutants displayed fitness defects when grown on tricarboxylic acid (TCA) cycle intermediates. RNA-seq analysis of a set of nested deletion mutants showed that a Tn 6212 -encoded LysR regulator has global effects on chromosomal gene expression. We show that Tn 6212 responds to preferred carbon sources and manipulates bacterial metabolism to maximize growth.
Keyphrases
- genome wide
- rna seq
- gene expression
- dna methylation
- antimicrobial resistance
- pseudomonas aeruginosa
- bioinformatics analysis
- single cell
- genome wide identification
- copy number
- physical activity
- biofilm formation
- body composition
- transcription factor
- cystic fibrosis
- sars cov
- staphylococcus aureus
- high resolution
- escherichia coli
- high throughput
- microbial community
- candida albicans
- multidrug resistant
- wild type
- free survival