The promise and perils of synthetic biology.
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Biological Warfare↗
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Results for “Genome engineering”
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A simple method to generate chromosomal mutations in Lactobacillus plantarum strain TF103 to eliminate undesired fermentation products.
Gram-positive bacteria have been explored to convert lignocellulosic biomass to biofuel and bioproducts. Our long-term goal is to create genetically engineered lactic acid bacteria (LAB) strains that convert agricultural biomass into ethanol and other value-added products. The immediate approaches toward this goal involve genetic manipulations by either introducing ethanol production pathway genes or inactivating pathways genes that lead to production of undesired byproducts. The widely studied species Lactobacillus plantarum is now considered a model for genetic manipulations of LAB. In this study, L. plantarum TF103 strain, in which two of the chromosomal L-ldh and D-ldh genes are inactivated, was used to introduce additional mutations on the chromosome to eliminate undesired fermentation products. We targeted the acetolactate synthase gene (als) that converts pyruvate to acetolactate, to eliminate the production of acetoin and 2,3-butanodial. A pBluescript derivative containing sections of the als coding region and an erythromycin resistance gene was directly introduced into L. plantarum TF103 cells to create mutations under selection pressure. The resulting erythromycin resistant (Emr) TF103 strain appears to have chromosomal mutations of both the als and the adjacent lysP genes as revealed by polymerase chain reaction and Southern blot analyses. Mutations were thus generated via targeted homologous recombination using a Gram-negative cloning vector, eliminating the use of a shuttle vector. This method should facilitate research in targeted inactivation of other genes in LAB.
Amino Acid Transport Systems, Basic↗
Improving computational predictions of cis-regulatory binding sites.
The location of cis-regulatory binding sites determine the connectivity of genetic regulatory networks and therefore constitute a natural focal point for research into the many biological systems controlled by such regulatory networks. Accurate computational prediction of these binding sites would facilitate research into a multitude of key areas, including embryonic development, evolution, pharmacogenemics, cancer and many other transcriptional diseases, and is likely to be an important precursor for the reverse engineering of genome wide, genetic regulatory networks. Many algorithmic strategies have been developed for the computational prediction of cis-regulatory binding sites but currently all approaches are prone to high rates of false positive predictions, and many are highly dependent on additional information, limiting their usefulness as research tools. In this paper we present an approach for improving the accuracy of a selection of established prediction algorithms. Firstly, it is shown that species specific optimization of algorithmic parameters can, in some cases, significantly improve the accuracy of algorithmic predictions. Secondly, it is demonstrated that the use of non-linear classification algorithms to integrate predictions from multiple sources can result in more accurate predictions. Finally, it is shown that further improvements in prediction accuracy can be gained with the use of biologically inspired post-processing of predictions.
Algorithms↗
[The cloning and expression of the phospholipase D gene from Corynebacterium pseudotuberculosis].
In a number of consecutive gene engineering operations a DNA fragment having a size of about 2.8 kb was cloned in Escherichia coli by means of Blue-script II SK+ used as vector. The insert contained pld gene coding the synthesis of phospholipase D, one of the key factors of C. pseudotuberculosis virulence. The stable and active expression of this gene in E.coli was achieved. High phospholipase A activity was accumulated in the periplasmatic space. The molecular weight of the synthesized protein was 31 kD. The product obtained by gene engineering methods was found to possess the biological activity of the natural product: it induced the hemolysis of sheep red blood cells in the presence of equi factor of Rhinococcus equi and inhibited the hemolytic activity of Staphylococcus aureus beta-hemolysin (phospholipase C). The pld gene cloned in these experiments differed from that of another C.pseudotuberculosis strain. Further research is underway with a view of searching for the limits of pls gene.
Chromosomes, Bacterial↗
[From the right to intimacy, to the awareness of genetic information].
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Genetic Engineering↗
[Genetic research on plague pathogen in plague control].
The results of molecular-genetic studies performed by Russian specialists in plague research are discussed. On their basis, new concepts concerning the factors determining virulence of the plague bacterium were formulated, and certain aspects of Yersinia taxonomy were clarified.
Genetic Engineering↗
[Current trends in the use of DNA technologies].
The possibilities of the intra- and interspecies genetic polymorphism revealing in animals with the uses of RAPD-PCR are discussed. The polymorphism of microsatellite loci and its using for the evaluation of the population-genetic interrelations is examined. The perspectives of the revealing of the genetic disease carriers at the cattle with the use of DNA methods are presented. The problems of gene transfer in farm animals are discussed. Data on the transgenic plant-based vaccine development against human and animal diarrhea diseases are analyzed.
Animals↗
Engineer the eukaryotic OMEGA-Fanzor systems for genome editing in plants.
The activity of the eukaryotic OMEGA-Fanzor genome editing system remains limited in plants. We engineered the Fanzor nucleases SpuFz1, GtFz1, NlovFz2, and MmeFz2 in plants, with NlovFz2 being the most efficient, achieving up to 50.0% editing in regenerated rice plants, making it a promising tool for plant genome editing.
Oryza↗
Developing live Shigella vaccines using lambda Red recombineering.
Live attenuated Shigella vaccines have shown promise in inducing protective immune responses in human clinical trials and as carriers of heterologous antigens from other mucosal pathogens. In the past, construction of Shigella vaccine strains relied on classical allelic exchange systems to genetically engineer the bacterial genome. These systems require extensive in vitro engineering of long homologous sequences to create recombinant replication-defective plasmids or phage. Alternatively, the lambda red recombination system from bacteriophage facilitates recombination with as little as 40 bp of homologous DNA. The process, referred to as recombineering, typically uses an inducible lambda red operon on a temperature-sensitive plasmid and optimal transformation conditions to integrate linear antibiotic resistance cassettes flanked by homologous sequences into a bacterial genome. Recent advances in recombineering have enabled modification of genomic DNA from bacterial pathogens including Salmonella, Yersinia, enteropathogenic Escherichia coli, or enterohemorrhagic E. coli and Shigella. These advances in recombineering have been used to systematically delete virulence-associated genes from Shigella, creating a number of isogenic strains from multiple Shigella serotypes. These strains have been characterized for attenuation using both in vivo and in vitro assays. Based on this data, prototypic Shigella vaccine strains containing multiple deletions in virulence-associated genes have been generated.
Bacteriophage lambda↗
Programmable enzymes for targeted gene insertion.
Genome editing technologies have advanced from nuclease-based reagents that generate programmed DNA double-strand breaks, which can cause deleterious effects, to next-generation reagents that perform controlled DNA modification through double-strand break-independent mechanisms, such as base editing and prime editing. Although these approaches enable precise small-scale sequence changes, methods for programmable insertion of large DNA cargos have been limited. The ability to write entire genes or large regions into the genome could transform the treatment of genetically heterogeneous disorders, for which numerous pathogenic variants underlie a common disease and mutation-specific editing strategies are impractical. Recent advances in computational genome mining have accelerated the discovery of naturally occurring enzymes with novel biochemical and functional properties, including recombinases and transposases capable of large-scale modifications. Moreover, directed evolution, rational engineering and expanded homologue discovery are enabling the repurposing and optimization of these systems for genome engineering. Here we review recent technology development efforts that harness diverse enzymes for kilobase-scale genome engineering, with a particular focus on CRISPR-associated transposase systems.
Journal Article↗
Isolation and characterization of a native composite transposon, Tn14751, carrying 17.4 kilobases of Corynebacterium glutamicum chromosomal DNA.
A native composite transposon was isolated from Corynebacterium glutamicum ATCC 14751. This transposon comprises two functional copies of a corynebacterial IS31831-like insertion sequence organized as converging terminal inverted repeats. This novel 20.3-kb element, Tn14751, carries 17.4 kb of C. glutamicum chromosomal DNA containing various genes, including genes involved in purine biosynthesis but not genes related to bacterial warfare, such as genes encoding mediators of antibiotic resistance or extracellular toxins. A derivative of this element carrying a kanamycin resistance cassette, minicomposite Tn14751, transposed into the genome of C. glutamicum at an efficiency of 1.8 x 10(2) transformants per mug of DNA. Random insertion of the Tn14751 derivative carrying the kanamycin resistance cassette into the chromosome was verified by Southern hybridization. This work paves the way for realization of the concept of minimum genome factories in the search for metabolic engineering via genome-scale directed evolution through a combination of random and directed approaches.
Bacterial Proteins↗
Understanding the human condition: experimental strategies in mammalian genetics.
Mice have become the mammalian model of choice for the application of genetics in biomedical research due to the evolutionary conservation of physiological systems and their attendant pathologies among all mammals as well as the exceptional power of genetic research technologies in the species. Beginning from aberrant phenotypes, a large number of mouse mutants and natural polymorphisms have been cloned, providing much information about the molecular basis of physiological processes. Additionally, the variable expression of these mutations in different inbred strain backgrounds has demonstrated the importance of modifier genes, which are also susceptible to cloning. Research efforts are keeping pace with these developments. In the area of gene discovery, large, government-funded mutagenesis programs now exist, and as a matter of great practical importance, recent evidence suggests that the same genes may be involved in the natural polymorphisms affecting disease in mice and humans. In parallel, dramatic advances are also being made in our ability to measure physiological processes in mice, and the advent of expression profiling promises revolutionary advances in understanding phenotype at the molecular level. Gene-driven approaches have relied on engineering the mouse genome, including adding, subtracting, and replacing genes and, most recently, the ability to control gene activity reversibly. Together, these multiple advances in our technical abilities have created extraordinary opportunities for future discovery.
Animals↗
Metabolic engineering of Lactococcus lactis: the impact of genomics and metabolic modelling.
Lactic acid bacteria display a relatively simple and well described metabolism where the sugar source is converted mainly to lactic acid. Here we will shortly describe metabolic engineering strategies that led to the efficient re-routing of the lactococcal pyruvate metabolism to end-products other than lactic acid, including diacetyl and alanine. Moreover, we will review current metabolic engineering approaches that aim at increasing the flux through complex biosynthetic pathways, leading to exopolysaccharides and folic acid. Finally, the (future) impact of the developments in the area of genomics and corresponding high-throughput technologies will be discussed.
Fermentation↗
Chemogenomic profiling on a genome-wide scale using reverse-engineered gene networks.
A major challenge in drug discovery is to distinguish the molecular targets of a bioactive compound from the hundreds to thousands of additional gene products that respond indirectly to changes in the activity of the targets. Here, we present an integrated computational-experimental approach for computing the likelihood that gene products and associated pathways are targets of a compound. This is achieved by filtering the mRNA expression profile of compound-exposed cells using a reverse-engineered model of the cell's gene regulatory network. We apply the method to a set of 515 whole-genome yeast expression profiles resulting from a variety of treatments (compounds, knockouts and induced expression), and correctly enrich for the known targets and associated pathways in the majority of compounds examined. We demonstrate our approach with PTSB, a growth inhibitory compound with a previously unknown mode of action, by predicting and validating thioredoxin and thioredoxin reductase as its target.
Algorithms↗
Modelling strategies for the industrial exploitation of lactic acid bacteria.
Lactic acid bacteria (LAB) have a long tradition of use in the food industry, and the number and diversity of their applications has increased considerably over the years. Traditionally, process optimization for these applications involved both strain selection and trial and error. More recently, metabolic engineering has emerged as a discipline that focuses on the rational improvement of industrially useful strains. In the post-genomic era, metabolic engineering increasingly benefits from systems biology, an approach that combines mathematical modelling techniques with functional-genomics data to build models for biological interpretation and--ultimately--prediction. In this review, the industrial applications of LAB are mapped onto available global, genome-scale metabolic modelling techniques to evaluate the extent to which functional genomics and systems biology can live up to their industrial promise.
Biomass↗
Enslaved bacteria as new hope for plant biotechnologists.
The most distinguishing feature of the plant cell is a DNA-containing organelle that sets plants apart from all other organisms: the chloroplast. Compelling evidence supports an endosymbiotic origin for chloroplasts. According to this theory, chloroplasts are descendants of formerly free-living cyanobacterial ancestors which entered an endosymbiotic relationship with a pre-eukaryotic cell and were ultimately integrated into the metabolism of the host cell. Chloroplasts retain many prokaryotic features and their gene expression system still closely resembles that of their eubacterial ancestors. During the past decade, our knowledge about chloroplast biology has benefited immensely from a most remarkable methodological breakthrough: the development of transformation technologies for chloroplast genomes. Moreover, recent advances in the manipulation of higher plant chloroplast genomes have created unprecedented opportunities for the genetic engineering of plants and promise to overcome many of the problems associated with conventional transgenic technologies. This review describes the state of the art in genetic engineering of higher plant chloroplast genomes and highlights the tremendous potential of these technologies for the biotechnology of the future.
Biological Evolution↗
Mice and humans: chromosome engineering and its application to functional genomics.
Functional modeling of human genes and diseases requires suitable mammalian model organisms. For its genetic malleability, the mouse is likely to continue to play a major role in defining basic genetic traits and complex pathological disorders. Recently, gene targeting techniques have been extended towards developing new engineering strategies for generating extensive lesions and rearrangements in mouse chromosomes. While these advances create new opportunities to address similar aberrations observed in human diseases, they also open new ways of scaling-up mutagenesis projects that try to catalogue and annotate cellular functions of mammalian genes.
Animals↗