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Geddes, B.

Publications and source records attributed to Geddes, B..

2 recordsLinked to original sources

Evaluation of Engineering Potential in Undomesticated Microbes with VECTOR

Genetic engineering research has predominantly focused on well-characterized organisms like Escherichia coli and Bacillus subtilis, with methods that often fail to translate to other microorganisms. This limitation presents a significant challenge, particularly given the increasing isolation of large microbial collections through high-throughput culturomics. In response, we developed a scalable, high-throughput pipeline to evaluate the engineerability of diverse microbial community members we named VECTOR (Versatile Engineering and Characterization of Transferable Origins and Resistance). We utilized a library of vectors with the Bacterial Expression Vector Archive (BEVA) architecture that included combinations of three antibiotic resistance genes, and three broad host range origins of replication (pBBR1, RK2 and RSF1010) or the restricted host range R6K with an integrative mariner transposon. We tagged each vector with green fluorescent protein and a unique nucleotide barcode. The resulting plasmids were delivered en masse to libraries of undomesticated microbes from plant microbiomes in workflows designed to evaluate their ability to be engineered. Utilizing OD600 and relative fluorescence measurements, we were able to monitor genetic cargo transfer in real time, indicating successfully engineered strains. Next-generation sequencing of plasmid molecular barcodes allowed us to identify specific vector architectures that worked well in particular bacterial strains from a large community. Modifications to the procedure facilitated isolation of engineered microbes. Our results underscore the potential of this approach to rapidly develop toolkits for the efficient engineering of a wide range of cultivatable microorganisms. ImportanceUndomesticated, cultured microbial strains contain a largely untapped reservoir of genetic potential for synthetic biology, and are increasingly being utilized in synthetic communities for microbial ecology research or biotechnology.. However, these strains often have unique physiological or ecological characteristics that make them difficult to engineer using traditional methods. Current approaches are often restricted by inefficient plasmid delivery and integration, which stifles progress in unlocking the promise of undomesticated strains. Our research addresses this challenge by developing VECTOR (Versatile Engineering and Characterization of Transferable Origins and Resistance), a scalable, high-throughput pipeline that utilizes modular vectors and efficient engineering workflows to identify host range and improve plasmid uptake. By optimizing plasmid architectures and pooling them for simultaneous screening across a range of bacterial strains, VECTOR enhances engineering efficiency and opens new avenues for advancements in biotechnology.

synthetic biology↗

A multi-sensor system provides spatiotemporal oxygen regulation of gene expression in a Rhizobium-legume symbiosis

Regulation by oxygen (O2) in rhizobia is essential for their symbioses with plants and involves multiple O2 sensing proteins. Three sensors exist in the pea microsymbiont Rhizobium leguminosarum Rlv3841: hFixL, FnrN and NifA. At low O2 concentrations (1%) hFixL signals via FxkR to induce expression of the FixK transcription factor, which activates transcription of downstream genes. These include fixNOQP, encoding the high-affinity cbb3-type terminal oxidase used in symbiosis. In vitro, the Rlv3841 hFixL-FxkR-FixK cascade was active at 1% O2, and confocal microscopy showed the cascade is active in the earliest stages of Rlv3841 differentiation in nodules (zones I-II). In vitro and in vivo work showed that the hFixL-FxkR-FixK cascade also induces transcription of fnrN at 1% O2 and in the earliest stages of Rlv3841 differentiation in nodules. We confirmed past findings suggesting a role for FnrN in fixNOQP expression. However, unlike hFixL-FxkR-FixK, Rlv3841 FnrN was only active in the near-anaerobic zones III-IV of pea nodules. Quantification of fixNOQP expression in nodules showed this was driven primarily by FnrN, with minimal direct hFixL-FxkR-FixK induction. Thus, FnrN is key for full symbiotic expression of fixNOQP. Without FnrN, nitrogen fixation was reduced by 85% in Rlv3841, while eliminating hFixL only reduced fixation by 25%. The hFixL-FxkR-FixK system effectively primes the O2 response by increasing fnrN expression in early differentiation (zones I-II). In Zone III of mature nodules, the near-anaerobic conditions activate FnrN, which induces fixNOQP transcription to the level required to achieve wild-type nitrogen fixation activity. Modelling and transcriptional analysis indicates that the different O2 sensitivities of hFixL and FnrN lead to a nuanced spatiotemporal pattern of gene regulation in different nodule zones in response to changing O2 concentration. Multi-sensor O2 regulation systems are prevalent in rhizobia, suggesting the fine-tuned control they enable is common and maximizes the effectiveness of the symbioses. Author SummaryRhizobia are soil bacteria that form a symbiosis with legume plants. In exchange for shelter from the plant, rhizobia provide nitrogen fertilizer, produced by nitrogen fixation. Fixation is catalysed by the nitrogenase enzyme, which is inactivated by oxygen. To prevent this, plants house rhizobia in root nodules, which create a low oxygen environment. However, rhizobia need oxygen, and must adapt to survive low oxygen in the nodule. Key to this is regulating their genes based on oxygen concentration. We studied one Rhizobium species which uses three different protein sensors of oxygen, each turning on at a different oxygen concentration. As the bacteria get deeper inside the plant nodule and the oxygen concentration drops, each sensor switches on in turn. Our results also show that the first sensor to turn on, hFixL, primes the second sensor, FnrN. This prepares the rhizobia for the core region of the nodule where oxygen concentration is lowest and most nitrogen fixation takes place. If both sensors are removed, the bacteria cannot fix nitrogen. Many rhizobia have several oxygen sensing proteins, so using multiple sensors is likely a common strategy that makes it possible for rhizobia to adapt to low oxygen gradually in stages during symbiosis.

microbiology↗