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An improved method for oriT-directed cloning and functionalization of large bacterial genomic regions.

ABSTRACT: We have made significant improvements to a broad-host-range system for the cloning and manipulation of large bacterial genomic regions based on site-specific recombination between directly repeated oriT sites during conjugation. Using two suicide capture vectors carrying flanking homology regions, oriT sites are recombined on either side of the target region. Using a broad-host-range conjugation helper plasmid, the region between the oriT sites is conjugated into an Escherichia coli recipient strain, where it is circularized and maintained as a chimeric mini-F vector. The cloned target region is functionalized in multiple ways to accommodate downstream manipulation. The target region is flanked with Gateway attB sites for recombination into other vectors and by rare 18-bp I-SceI restriction sites for subcloning. The Tn7-functionalized target can also be inserted at a naturally occurring chromosomal attTn7 site(s) or maintained as a broad-host-range plasmid for complementation or heterologous expression studies. We have used the oriTn7 capture technique to clone and complement Burkholderia pseudomallei genomic regions up to 140 kb in size and have created isogenic Burkholderia strains with various combinations of genomic islands. We believe this system will greatly aid the cloning and genetic analysis of genomic islands, biosynthetic gene clusters, and large open reading frames.

SUBMITTER: Kvitko BH

PROVIDER: S-EPMC3754689 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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An improved method for oriT-directed cloning and functionalization of large bacterial genomic regions.

Kvitko Brian H BH McMillan Ian A IA Schweizer Herbert P HP

Applied and environmental microbiology 20130607 16

We have made significant improvements to a broad-host-range system for the cloning and manipulation of large bacterial genomic regions based on site-specific recombination between directly repeated oriT sites during conjugation. Using two suicide capture vectors carrying flanking homology regions, oriT sites are recombined on either side of the target region. Using a broad-host-range conjugation helper plasmid, the region between the oriT sites is conjugated into an Escherichia coli recipient st ...[more]

PMID: 23747708

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Project description:BackgroundDNA methylation is an epigenetic process that regulates gene expression. Methylation can be modified by environmental exposures and changes in the methylation patterns have been associated with diseases. Methylation microarrays measure methylation levels at more than 450,000 CpGs in a single experiment, and the most common analysis strategy is to perform a single probe analysis to find methylation probes associated with the outcome of interest. However, methylation changes usually occur at the regional level: for example, genomic structural variants can affect methylation patterns in regions up to several megabases in length. Existing DMR methods provide lists of Differentially Methylated Regions (DMRs) of up to only few kilobases in length, and cannot check if a target region is differentially methylated. Therefore, these methods are not suitable to evaluate methylation changes in large regions. To address these limitations, we developed a new DMR approach based on redundancy analysis (RDA) that assesses whether a target region is differentially methylated.ResultsUsing simulated and real datasets, we compared our approach to three common DMR detection methods (Bumphunter, blockFinder, and DMRcate). We found that Bumphunter underestimated methylation changes and blockFinder showed poor performance. DMRcate showed poor power in the simulated datasets and low specificity in the real data analysis. Our method showed very high performance in all simulation settings, even with small sample sizes and subtle methylation changes, while controlling type I error. Other advantages of our method are: 1) it estimates the degree of association between the DMR and the outcome; 2) it can analyze a targeted or region of interest; and 3) it can evaluate the simultaneous effects of different variables. The proposed methodology is implemented in MEAL, a Bioconductor package designed to facilitate the analysis of methylation data.ConclusionsWe propose a multivariate approach to decipher whether an outcome of interest alters the methylation pattern of a region of interest. The method is designed to analyze large target genomic regions and outperforms the three most popular methods for detecting DMRs. Our method can evaluate factors with more than two levels or the simultaneous effect of more than one continuous variable, which is not possible with the state-of-the-art methods.

Dataset Information

An improved method for oriT-directed cloning and functionalization of large bacterial genomic regions.

Publications

An improved method for oriT-directed cloning and functionalization of large bacterial genomic regions.

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