Search bioRxiv⌕ Search

Biology subjects

Dusek, N.

Publications and source records attributed to Dusek, N..

3 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↗

Culturomics from field-grown crop plants using dilution-to-extinction, two-step library preparation and amplicon sequencing

Culturomics approaches have advanced microbial research by enabling the high-throughput isolation and characterization of a broader range of bacterial taxa, including some previously considered unculturable. Here, we present the testing and optimization of a protocol for isolating and identifying hundreds of cultivable microbes from field-grown plants. This protocol was tested and optimized using the root microbiomes of field-grown corn and pea plants under varying environmental conditions in North Dakota, USA. By employing dilution-to-extinction culturing and a two-step barcoding PCR strategy targeting the V4 region of the 16S rRNA gene, we identified over 200 unique bacterial isolates. The optimized bioinformatic pipeline, built around the DADA2 package, ensured accurate amplicon sequence variant (ASV) detection and taxonomy assignment. The resulting bacterial isolates span diverse phylogenetic groups, including plant-associated taxa known for promoting plant growth and mitigating stress. Our findings highlight the value of culturomics in generating microbial collections for synthetic community design and advancing plant-microbe interaction research. The protocols scalability, cost-effectiveness, and robust performance demonstrate its potential for widespread application in agricultural microbiome studies. Impact statementHigh-throughput isolation and characterization of cultivable microbes from plant microbiomes is crucial for advancing microbiome research. However, efficiently recovering a diverse range of bacterial taxa remains a challenge due to high costs and labor-intensive protocols. Our optimized culturomics protocol integrates dilution-to-extinction culturing with a two-step barcoding PCR strategy, enhancing recovery rates and reducing costs while maintaining high accuracy. By employing next-generation sequencing (NGS) and a streamlined bioinformatic pipeline built around the robust DADA2 workflow for amplicon sequencing, the method enables the scalable recovery of hundreds of unique bacterial isolates. This approach makes significant advancements over traditional culturing methods and other high-throughput cultivation protocols, providing an efficient, cost-effective platform for generating microbial collections essential for synthetic communities, comparative genomics, and agricultural microbiome applications. Data summaryAll protocols, sequence data, and analysis codes have been made publicly available in open-access repositories. The authors confirm all supporting data, code, and protocols have been provided within the article or through supplementary data files.

microbiology↗

Adaptation of Plasmid-ID Technology for Evaluation of N2-Fixing Effectiveness and Competitiveness for Root Nodulation in the Sinorhizobium-Medicago System

Maximizing the nitrogen fixation occurring in rhizobia-legume associations represents an opportunity to sustainably reduce nitrogen fertilizer inputs in agriculture. High-throughput measurement of symbiotic traits has the potential to accelerate the identification of elite rhizobium/legume associations and enable novel research approaches. Plasmid-ID technology, recently deployed in Rhizobium leguminosarum, facilitates the concurrent assessment of rhizobium nitrogen-fixing effectiveness and competitiveness for root nodulation. This study adapts Plasmid-ID technology to function in Sinorhizobium species that are central models for studying rhizobium-legume associations and form economically important symbioses with alfalfa. New Sino-Plasmid-IDs were developed and tested for stability and their ability to measure competitiveness for root nodulation and nitrogen-fixing effectiveness. Rhizobial competitiveness is measured by identifying strain-specific nucleotide barcodes using Next-Generation Sequencing while effectiveness is measured by GFP fluorescence driven by the synthetic nifH promoter. Sino-Plasmid-IDs allow researchers to efficiently study competitiveness and effectiveness in a multitude of Sinorhizobium strains simultaneously.

microbiology↗