bioRxiv Science⌕ Search

Biology subjects

Minton, N.

Publications and source records attributed to Minton, N..

3 recordsLinked to original sources

Creation of Novel Methylating Conjugal Donor Strains for Genetically Recalcitrant Bacteria

A methodology is presented to integrate DNA methyltransferase genes of interest into the single copy, IncP{beta} R Factor conjugal plasmid, R702. This is to enable DNA transfer, or improved frequency thereof, by mirroring the recipient native DNA methylation signature prior to transfer of plasmid DNA by conjugation, evading native restriction modification systems in the organism of study, without target strain modification. As proof of concept, the bacteriophage derived methyltransferase [FE]3TI, known to facilitate DNA transfer into the industrially important model solventogenic organism, Clostridium acetobutylicum ATCC 824, was inserted into the single copy R702 to create an in vivo methylating strain. Plasmids extracted from this strain were transferred by electroporation at a comparable frequency to the established method which uses the multi-copy accessory plasmids pAN1 or pAN2, harbouring [FE]3TI. The methodology was further exemplified and employed to enable high frequency of DNA transfer into the clinically relevant Clostridioides difficile ribotype 027 outbreak strain, R20291. The modification (hsdM) and specificity (hsdS) components of the native Type I restriction modification system of R20291 were inserted into R702 to create a functional methylating conjugal donor Escherichia coli strain. This approach of coupling methylation and the native transfer functions of R702 creates a system which can easily be mobilised into a genotypically appropriate E. coli strain; creating an in vivo methylating donor strain which may be utilized to protect and transfer DNA to the organism of study by conjugation.

microbiology↗

Clostridioides difficile spore-entry into intestinal epithelial cells contributes to recurrence of the disease

Clostridioides difficile spores produced during infection are essential for the recurrence of the disease. However, how C. difficile spores persist in the intestinal mucosa to cause recurrent infection remains unknown. Here, we show that C. difficile spores gain entry into the intestinal mucosa via fibronectin-5{beta}1 and vitronectin-v{beta}1 specific-pathways. The spore-surface exosporium BclA3 protein is essential for both spore-entry pathways into intestinal epithelial cells. Furthermore, C. difficile spores of a bclA3 isogenic mutant exhibited reduced entry into the intestinal mucosa and reduced recurrence of the disease in a mouse model of the disease. Inhibition of C. difficile spore-entry led to reduced spore-entry into the intestinal epithelial barrier and recurrence of C. difficile infection in vivo. These findings suggest that C. difficile spore-entry into the intestinal barrier is a novel mechanism of spore-persistence that can contribute to infection recurrence and have implications for the rational design of therapies.

microbiology↗

Gsmodutils: A python based framework for test-driven genome scale metabolic model development

MotivationGenome scale metabolic models (GSMMs) are increasingly important for systems biology and metabolic engineering research as they are capable of simulating complex steady-state behaviour. Constraints based models of this form can include thousands of reactions and metabolites, with many crucial pathways that only become activated in specific simulation settings. However, despite their widespread use, power and the availability of tools to aid with the construction and analysis of large scale models, little methodology is suggested for the continued management of curated large scale models. For example, when genome annotations are updated or new understanding regarding behaviour of is discovered, models often need to be altered to reflect this. This is quickly becoming an issue for industrial systems and synthetic biotechnology applications, which require good quality reusable models integral to the design, build and test cycle.\n\nResultsAs part of an ongoing effort to improve genome scale metabolic analysis, we have developed a test-driven development methodology for the continuous integration of validation data from different sources. Contributing to the open source technology based around COBRApy, we have developed the gsmodutils modelling framework placing an emphasis on test-driven design of models through defined test cases. Crucially, different conditions are configurable allowing users to examine how different designs or curation impact a wide range of system behaviours, minimising error between model versions.\n\nAvailabilityThe software framework described within this paper is open source and freely available from http://github.com/SBRCNottingham/gsmodutils

bioinformatics↗