Assessing horizontal gene transfer in the rhizosphere of Brachypodium distachyon using fabricated ecosystems (EcoFABs)
Priya, S.; Rossbach, S.; Eng, T.; Andeer, P.; Lin, H.-H.; Mortimer, J.; Northen, T.; Mukhopadhyay, A.
Show abstract
Horizontal gene transfer (HGT) is a major process by which genes are transferred within microbes in the rhizosphere. However, examining HGT remains challenging due to the complexity of mimicking conditions within the rhizosphere. Fabricated ecosystems (EcoFABs) have been used to investigate several complex processes in plant associated environments. Here we show that EcoFABs are efficient tools to examine and measure HGT frequency in the rhizosphere. We provided the first demonstration of gene transfer via triparental conjugation system in the Brachypodium distachyon rhizosphere in the EcoFABs using Pseudomonas putida KT2440 as both donor and recipient bacterial strain with the donor having the mobilizable and non-self-transmissible plasmid. We also observed that the frequency of conjugal plasmid transfer in the rhizosphere is potentially dependent on the plant developmental stage, and composition and amount of root exudates. The frequency of conjugation also increased with higher numbers of donor cells. We have also shown the transfer of plasmid from P. putida to another B. distachyon root colonizer, Burkholderia sp. showing the possibility of HGT within a rhizosphere microbial community. Environmental stresses also influence the rate of HGT in the rhizosphere between species and genera. Additionally, we observed transfer of a non-self transmissible donor plasmid without the helper strain on agar plates when supplemented with environmental stressors, indicating reduced dependency on the helper plasmid under certain conditions. This study provides a robust workflow to evaluate conjugal transfer of engineered plasmids in the rhizosphere when such plasmids are introduced in a field or plant associated environment. ImportanceWe report the use of EcoFABs to investigate the HGT process in a rhizosphere environment. It highlights the potential of EcoFABs in recapitulating the dynamic rhizosphere conditions as well as their versatility in studying plant-microbial interactions. This study also emphasizes the importance of studying the parameters impacting the HGT frequency. Several factors such as plant developmental stages, nutrient conditions, number of donor cells and environmental stresses influence gene transfer within the rhizosphere microbial community. This study paves the way for future investigations into understanding the fate and movement of engineered plasmids in a field environment.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Adaptive laboratory evolution restores solvent tolerance in plasmid-cured Pseudomonas putida S12; a molecular analysis 94%
- Correlation of in vitro biofilm formation capacity with persistence of antibiotic-resistant Escherichia coli on gnotobiotic lamb's lettuce 94%
- A CRISPRi-dCas9 system for archaea and its use to examine gene function during nitrogen fixation by Methanosarcina acetivorans. 93%
Similar papers in this journal
- Bacillus velezensis stimulates resident rhizosphere Pseudomonas stutzeri for plant health through metabolic interactions 94%
- Tradeoffs between phage resistance and nitrogen fixation drive the evolution of genes essential for cyanobacterial heterocyst functionality 93%
- In vitro biofilm formation only partially predicts beneficial Pseudomonas fluorescens protection against rhizosphere pathogens 93%
Similar papers in this journal
Similar papers in this journal
- Soil microbiota influences clubroot disease by modulating Plasmodiophora brassicae and Brassica napus transcriptomes 94%
- Unlocking the strength of inducible promoters in gram-negative bacteria 93%
- Seed coating with phages for sustainable plant biocontrol of plant pathogens and influence of the seed coat mucilage 93%
"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.