Refactoring the Conjugation Machinery of Promiscuous Plasmid RP4 into a Device for Conversion of Gram-Negative Isolates to Hfr Strains

Fe-doped TiO2 nanosheet exposure accelerates the spread of antibiotic resistance genes by promoting plasmid-mediated conjugative transfer

The widespread dissemination of antibiotic resistance genes (ARGs) via plasmid-mediated conjugation poses a serious threat to public health. Conjugation can be accelerated by selective pressures caused by antibiotics and other environmental pollutants. Fe-doped TiO2 nanosheets (FTNs) are widely used for the photocatalytic treatment of wastewater, raising concerns about their potential presence in the environment and their role in exerting selective pressure on conjugation. In this study, FTNs at subinhibitory concentrations (25, 50, and 100 mg/L) were applied in an in vitro conjugation model to investigate their impact on ARG conjugation. The results showed that FTN exposure increased conjugative transfer frequency by more than 2.5-fold. Molecular mechanism analysis revealed that FTNs increased membrane permeability by causing physical damage and inducing oxidative stress, promoted energy supply by modulating the proton motive force (PMF) and enhancing the tricarboxylic acid (TCA) cycle, and improved intercellular contact by enhancing cell adhesion. Additionally, transcriptomic analysis indicated that FTNs upregulated the expression of genes related to energy supply, cell adhesion, cell transport and oxidative stress. Overall, the findings of this study reveal the potential risk of nanosheets accelerating the spread of ARGs via plasmid-mediated conjugation, highlighting the necessity of establishing guidelines for their appropriate use and discharge.

A highly efficient heterologous expression platform to facilitate the production of microbial natural products in Streptomyces

BACKGROUND

Heterologous expression in Streptomyces provides a platform for mining natural products (NPs) encoded by cryptic biosynthetic gene clusters (BGCs) of bacteria. The BGCs are first engineered in hosts with robust recombineering systems, such as Escherichia coli, followed by expression in optimized heterologous hosts, such as Streptomyces, with defined metabolic backgrounds.

RESULTS

We developed a highly efficient heterologous expression platform, named Micro-HEP (microbial heterologous expression platform), that uses versatile E. coli strains capable of both modification and conjugation transfer of foreign BGCs and optimized chassis Streptomyces strain for expression. The stability of repeat sequences in these E. coli strains was superior to that of the commonly used conjugative transfer system E. coli ET12567 (pUZ8002). For optimizing expression of foreign BGCs, the chassis strain S. coelicolor A3(2)-2023 was generated by deleting four endogenous BGCs followed by introducing multiple recombinase-mediated cassette exchange (RMCE) sites in the S. coelicolor A3(2) chromosome. Additionally, modular RMCE cassettes (Cre-lox, Vika-vox, Dre-rox, and phiBT1-attP) were constructed for integrating BGCs into the chassis strain. Micro-HEP was tested using BGCs for the anti-fibrotic compound xiamenmycin and griseorhodins. Two to four copies of the xim BGC were integrated by RMCE, with increasing copy number associated with increasing yield of xiamenmycin. The grh BGC was also efficiently expressed, and the new compound griseorhodin H was identified.

CONCLUSION

We demonstrated that our Micro-HEP system enables the efficient expression of foreign BGCs, facilitating the discovery of new NPs and increasing yields.

A bayesian approach for parameterizing and predicting plasmid conjugation dynamics

Population dynamic models that explain and predict the spread of conjugative plasmids are pivotal for understanding microbial evolution and engineering microbiomes. However, prediction uncertainty of these models has rarely been assessed. We adopt a Bayesian approach, employing Markov Chain Monte Carlo (MCMC), to parameterize and model plasmid conjugation dynamics. This approach treats model parameters as random variables whose probability distributions are informed by data on plasmid population dynamics. These distributions allow us to estimate credible intervals of the model's parameters and predictions. We validated this approach using synthetic population dynamic data with known parameter values and experimental population dynamic data of mini-RK2, a miniaturized counterpart of the well-characterized and widely used RK2 conjugation plasmid. Our methodology accurately estimated the parameters of synthetic data, and model predictions were robust across time scales and initial conditions. Incorporating long-term population dynamic data enhances the precision of parameter estimates related to plasmid loss and the accuracy of long-term population dynamic predictions. For experimental data, the model correctly explained and predicted most population dynamic trends, albeit with broader credible intervals. Incorporating long-term data also improves credible ranges of most parameters. However, in some cases, such as with the growth parameter of cells with the conjugative plasmid, the inclusion of long-term data can lead to stronger correlations and potential identifiability issues between key parameters. Overall, our method allows for deeper investigation of plasmid population dynamics and could potentially be generalized to study population dynamics of other mobile genetic elements.

A genetic toolbox to empower Paracoccus pantotrophus DSM 2944 as a metabolically versatile SynBio chassis

BACKGROUND

To contribute to the discovery of new microbial strains with metabolic and physiological robustness and develop them into successful chasses, Paracoccus pantotrophus DSM 2944, a Gram-negative bacterium from the phylum Alphaproteobacteria and the family Rhodobacteraceae, was chosen. The strain possesses an innate ability to tolerate high salt concentrations. It utilizes diverse substrates, including cheap and renewable feedstocks, such as C1 and C2 compounds. Also, it can consume short-chain alkanes, predominately found in hydrocarbon-rich environments, making it a potential bioremediation agent. The demonstrated metabolic versatility, coupled with the synthesis of the biodegradable polymer polyhydroxyalkanoate, positions this microbial strain as a noteworthy candidate for advancing the principles of a circular bioeconomy.

RESULTS

The study aims to follow the chassis roadmap, as depicted by Calero and Nikel, and de Lorenzo, to transform wild-type P. pantotrophus DSM 2944 into a proficient SynBio (Synthetic Biology) chassis. The initial findings highlight the antibiotic resistance profile of this prospective SynBio chassis. Subsequently, the best origin of replication (ori) was identified as RK2. In contrast, the non-replicative ori R6K was selected for the development of a suicide plasmid necessary for genome integration or gene deletion. Moreover, when assessing the most effective method for gene transfer, it was observed that conjugation had superior efficiency compared to electroporation, while transformation by heat shock was ineffective. Robust host fitness was demonstrated by stable plasmid maintenance, while standardized gene expression using an array of synthetic promoters could be shown. pEMG-based scarless gene deletion was successfully adapted, allowing gene deletion and integration. The successful integration of a gene cassette for terephthalic acid degradation is showcased. The resulting strain can grow on both monomers of polyethylene terephthalate (PET), with an increased growth rate achieved through adaptive laboratory evolution.

CONCLUSION

The chassis roadmap for the development of P. pantotrophus DSM 2944 into a proficient SynBio chassis was implemented. The presented genetic toolkit allows genome editing and therewith the possibility to exploit Paracoccus for a myriad of applications.

Diffusion and enrichment of high-risk antibiotic resistance genes (ARGs) via the transmission chain (mulberry leave, guts and feces of silkworm, and soil) in an ecological restoration area of manganese mining, China: Role of heavy metals

This study investigated the diffusion and enrichment of antibiotic resistance genes (ARGs) and pathogens via the transmission chain (mulberry leaves - silkworm guts - silkworm feces - soil) near a manganese mine restoration area (RA) and control area (CA, away from RA). Horizontal gene transfer (HGT) of ARGs was testified by an IncP a-type broad host range plasmid RP4 harboring ARGs (tetA) and conjugative genes (e.g., korB, trbA, and trbB) as an indicator. Compared to leaves, the abundances of ARGs and pathogens in feces after silkworms ingested leaves from RA increased by 10.8% and 52.3%, respectively, whereas their abundance in feces from CA dropped by 17.1% and 97.7%, respectively. The predominant ARG types in feces involved the resistances to β-lactam, quinolone, multidrug, peptide, and rifamycin. Therein, several high-risk ARGs (e.g., qnrB, oqxA, and rpoB) carried by pathogens were more enriched in feces. However, HGT mediated by plasmid RP4 in this transmission chain was not a main factor to promote the enrichment of ARGs due to the harsh survival environment of silkworm guts for the plasmid RP4 host E. coli. Notably, Zn, Mn, and As in feces and guts promoted the enrichment of qnrB and oqxA. Worriedly, the abundance of qnrB and oqxA in soil increased by over 4-fold after feces from RA were added into soil for 30 days regardless of feces with or without E. coli RP4. Overall, ARGs and pathogens could diffuse and enrich in environment via the sericulture transmission chain developed at RA, especially some high-risk ARGs carried by pathogens. Thus, greater attentions should be paid to dispel such high-risk ARGs to support benign development of sericulture industry in the safe utilization of some RAs.

SEVA 4.0: an update of the Standard European Vector Architecture database for advanced analysis and programming of bacterial phenotypes

The SEVA platform (https://seva-plasmids.com) was launched one decade ago, both as a database (DB) and as a physical repository of plasmid vectors for genetic analysis and engineering of Gram-negative bacteria with a structure and nomenclature that follows a strict, fixed architecture of functional DNA segments. While the current update keeps the basic features of earlier versions, the platform has been upgraded not only with many more ready-to-use plasmids but also with features that expand the range of target species, harmonize DNA assembly methods and enable new applications. In particular, SEVA 4.0 includes (i) a sub-collection of plasmids for easing the composition of multiple DNA segments with MoClo/Golden Gate technology, (ii) vectors for Gram-positive bacteria and yeast and [iii] off-the-shelf constructs with built-in functionalities. A growing collection of plasmids that capture part of the standard-but not its entirety-has been compiled also into the DB and repository as a separate corpus (SEVAsib) because of its value as a resource for constructing and deploying phenotypes of interest. Maintenance and curation of the DB were accompanied by dedicated diffusion and communication channels that make the SEVA platform a popular resource for genetic analyses, genome editing and bioengineering of a large number of microorganisms.

Propagation of Recombinant Genes through Complex Microbiomes with Synthetic Mini-RP4 Plasmid Vectors

The promiscuous conjugation machinery of the Gram-negative plasmid RP4 has been reassembled in a minimized, highly transmissible vector for propagating genetically encoded traits through diverse types of naturally occurring microbial communities. To this end, the whole of the RP4-encoded transfer determinants (tra, mob genes, and origin of transfer oriT) was excised from their natural context, minimized, and recreated in the form of a streamlined DNA segment borne by an autoselective replicon. The resulting constructs (the pMATING series) could be self-transferred through a variety of prokaryotic and eukaryotic recipients employing such a rationally designed conjugal delivery device. Insertion of GFP reporter into pMATING exposed the value of this genetic tool for delivering heterologous genes to both specific mating partners and complex consortia (e.g., plant/soil rhizosphere). The results accredited the effective and functional transfer of the recombinant plasmids to a diversity of hosts. Yet the inspection of factors that limit interspecies DNA transfer in such scenarios uncovered type VI secretion systems as one of the factual barriers that check otherwise high conjugal frequencies of tested RP4 derivatives. We argue that the hereby presented programming of hyperpromiscuous gene transfer can become a phenomenal asset for the propagation of beneficial traits through various scales of the environmental microbiome.

Efficient markerless integration of genes in the chromosome of probiotic E. coli Nissle 1917 by bacterial conjugation

The probiotic strain Escherichia coli Nissle 1917 (EcN) is a common bacterial chassis in synthetic biology developments for therapeutic applications given its long track record of safe administration in humans. Chromosomal integration of the genes of interest (GOIs) in the engineered bacterium offers significant advantages in genetic stability and to control gene dose, but common methodologies relying on the transformation of EcN are inefficient. In this work, we implement in EcN the use of bacterial conjugation in combination with markerless genome engineering to efficiently insert multiple GOIs at different loci of EcN chromosome, leaving no antibiotic resistance genes, vector sequences or scars in the modified bacterium. The resolution of cointegrants that leads to markerless insertion of the GOIs requires expression of I-SceI endonuclease and its efficiency is enhanced by λ Red proteins. We show the potential of this strategy by integrating different genes encoding fluorescent and bioluminescent reporters (i.e. GFP, mKate2, luxCDABE) both individually and sequentially. We also demonstrate its application for gene deletions in EcN (ΔflhDC) and to replace the endogenous regulation of chromosomal locus (i.e. flhDC) by heterologous regulatory elements (e.g. tetR-Ptet) in order to have an ectopic control of gene expression in EcN with an external inducer to alter bacterial behaviour (e.g. flagellar motility). Whole-genome sequencing confirmed the introduction of the designed modifications without off-target alterations in the genome. This straightforward approach accelerates the generation of multiple modifications in EcN chromosome for the generation of living bacterial therapeutics.