Catabolic pathway acquisition by soil pseudomonads readily enables growth with salicyl alcohol but does not affect colonization of Populus roots
Christel, S.; Carrell, A. A.; Burdick, L. H.; Villalobos Solis, M. I.; Abraham, P. E.; Jawdy, S.; Chaves, J.; Engle, N.; Berhane, T.-K.; Yao, T.; Chen, J.-G.; Muchero, W.; Tschaplinski, T.; Cregger, M. A.; Michener, J. K.
Show abstract
Horizontal gene transfer (HGT) is a fundamental evolutionary process that plays a key role in bacterial evolution. The likelihood of a successful transfer event is expected to depend on the precise balance of costs and benefits resulting from pathway acquisition. Most experimental analyses of HGT have focused on phenotypes that have large fitness benefits under appropriate selective conditions, such as antibiotic resistance. However, many examples of HGT involve phenotypes that are predicted to provide smaller benefits, such as the ability to catabolize additional carbon sources. We have experimentally reproduced one such HGT event in the laboratory, studying the effects of transferring a pathway for catabolism of the plant-derived aromatic compound salicyl alcohol into soil isolates from the Pseudomonas genus. We find that pathway acquisition enables rapid catabolism of salicyl alcohol with only minor disruptions to existing metabolic and regulatory networks of the new host. However, this new catabolic potential does not confer a measurable fitness advantage during competitive growth in the rhizosphere. We conclude that the phenotype of salicyl alcohol catabolism is readily transferred by HGT but is selectively neutral under environmentally-relevant conditions. We propose that this condition is common and that HGT of many pathways will be self-limiting, because the selective benefits are small and negative frequency-dependent.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- In vitro biofilm formation only partially predicts beneficial Pseudomonas fluorescens protection against rhizosphere pathogens 95%
- Bacillus velezensis stimulates resident rhizosphere Pseudomonas stutzeri for plant health through metabolic interactions 95%
- Adaptive pangenomic remodeling in the Azolla cyanobiont amid a transient microbiome 94%
Similar papers in this journal
- Activation of ChvG-ChvI regulon by cell wall stress confers resistance to β-lactam antibiotics and initiates surface spreading in Agrobacterium tumefaciens 96%
- Trehalose and α-glucan mediate distinct abiotic stress responses in Pseudomonas aeruginosa 96%
- Functional genomics of chitin degradation by Vibrio parahaemolyticus reveals finely integrated metabolic contributions to support environmental fitness 95%
Similar papers in this journal
- Amino acid availability determines plant immune homeostasis in the rhizosphere microbiome 96%
- Commensal Pseudomonas fluorescens protect Arabidopsis from closely-related Pseudomonas pathogens in a colonization-dependent manner 96%
- Comparative genomics identified a genetic locus in plant-associated Pseudomonas spp. that is necessary for induced systemic susceptibility 95%
Similar papers in this journal
- Dissecting transcriptomic signatures of genotype x genotype interactions during the initiation of plant-rhizobium symbiosis 96%
- Metabolic network construction reveals probiotic-specific alterations in the metabolic activity of a synthetic small intestinal community 95%
- Secondary metabolite profiling of Pseudomonas aeruginosa isolates reveals rare genomic traits 95%
Similar papers in this journal
- Discovery and characterization of a Gram-positive Pel polysaccharide biosynthetic gene cluster 95%
- Enterococcal cell wall remodelling underpins pathogenesis via the release of the Enteroccocal Polysaccharide Antigen (EPA) 94%
- The fitness landscape of the African Salmonella Typhimurium ST313 strain D23580 reveals unique properties of the pBT1 plasmid 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.