19 research outputs found
A modular toolbox for gRNA-Cas9 genome engineering in plants based on the GoldenBraid standard
[EN] Background: The efficiency, versatility and multiplexing capacity of RNA-guided genome engineering using the
CRISPR/Cas9 technology enables a variety of applications in plants, ranging from gene editing to the construction
of transcriptional gene circuits, many of which depend on the technical ability to compose and transfer complex
synthetic instructions into the plant cell. The engineering principles of standardization and modularity applied to DNA
cloning are impacting plant genetic engineering, by increasing multigene assembly efficiency and by fostering the
exchange of well-defined physical DNA parts with precise functional information.
Results: Here we describe the adaptation of the RNA-guided Cas9 system to GoldenBraid (GB), a modular DNA con¿
struction framework being increasingly used in Plant Synthetic Biology. In this work, the genetic elements required
for CRISPRs-based editing and transcriptional regulation were adapted to GB, and a workflow for gRNAs construction
was designed and optimized. New software tools specific for CRISPRs assembly were created and incorporated to the
public GB resources site.
Conclusions: The functionality and the efficiency of gRNA¿Cas9 GB tools were demonstrated in Nicotiana benthamiana
using transient expression assays both for gene targeted mutations and for transcriptional regulation. The
availability of gRNA¿Cas9 GB toolbox will facilitate the application of CRISPR/Cas9 technology to plant genome
engineeringThis work has been funded by Grant BIO2013-42193-R from Plan Nacional I + D of the Spanish Ministry of Economy and Competitiveness. Vazquez-Vilar M. is a recipient of a Junta de Ampliacion de Estudios fellowship. Bernabe-Orts J.M. is a recipient of a FPI fellowship. We want to thank Nicola J. Patron and Mark Youles for kindly providing humanCas9 and U6-26 clones. We also want to thank Eugenio Gomez for providing Arabidopsis thaliana genomic DNA and Concha Domingo for providing rice genomic DNA. We also want to thank the COST Action FA1006 for the support in the development of the software tools.Vázquez-Vilar, M.; Bernabé-Orts, JM.; Fernández Del Carmen, MA.; Ziarsolo Areitioaurtena, P.; Blanca Postigo, JM.; Granell Richart, A.; Orzáez Calatayud, DV. (2016). A modular toolbox for gRNA-Cas9 genome engineering in plants based on the GoldenBraid standard. Plant Methods. 12. https://doi.org/10.1186/s13007-016-0101-2S12Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F. 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On Chemical Reaction Network Design by a Nested Evolution Algorithm
International audienceOne goal of synthetic biology is to implement useful functions with biochemical reactions, either by reprogramming living cells or programming artificial vesicles. In this perspective, we consider Chemical Reaction Networks (CRN) as a programming language, and investigate the CRN program synthesis problem. Recent work has shown that CRN interpreted by differential equations are Turing-complete and can be seen as analog computers where the molecular concentrations play the role of information carriers. Any real function that is computable by a Turing machine in arbitrary precision can thus be computed by a CRN over a finite set of molecular species. The proof of this result gives a numerical method to generate a finite CRN for implementing a real function presented as the solution of a Polynomial Initial Values Problem (PIVP). In this paper, we study an alternative method based on artificial evolution to build a CRN that approximates a real function given on finite sets of input values. We present a nested search algorithm that evolves the structure of the CRN and optimizes the kinetic parameters at each generation. We evaluate this algorithm on the Heaviside and Cosine functions both as functions of time and functions of input molecular species. We then compare the CRN obtained by artificial evolution both to the CRN generated by the numerical method from a PIVP definition of the function, and to the natural CRN found in the BioModels repository for switches and oscillators
Metabolomics reveals stage-specific metabolic pathways of microbial communities in two-stage anaerobic fermentation of corn-stalk
Mobius assembly:A versatile golden-gate framework towards universal DNA assembly
Synthetic biology builds upon the foundation of engineering principles, prompting innovation and improvement in biotechnology via a design-build-test-learn cycle. A community-wide standard in DNA assembly would enable bio-molecular engineering at the levels of predictivity and universality in design and construction that are comparable to other engineering fields. Golden Gate Assembly technology, with its robust capability to unidirectionally assemble numerous DNA fragments in a one-tube reaction, has the potential to deliver a universal standard framework for DNA assembly. While current Golden Gate Assembly frameworks (e.g. MoClo and Golden Braid) render either high cloning capacity or vector toolkit simplicity, the technology can be made more versatile-simple, streamlined, and cost/labor-efficient, without compromising capacity. Here we report the development of a new Golden Gate Assembly framework named Mobius Assembly, which combines vector toolkit simplicity with high cloning capacity. It is based on a two-level, hierarchical approach and utilizes a low-frequency cutter to reduce domestication requirements. Mobius Assembly embraces the standard overhang designs designated by MoClo, Golden Braid, and Phytobricks and is largely compatible with already available Golden Gate part libraries. In addition, dropout cassettes encoding chromogenic proteins were implemented for cost-free visible cloning screening that color-code different cloning levels. As proofs of concept, we have successfully assembled up to 16 transcriptional units of various pigmentation genes in both operon and multigene arrangements. Taken together, Mobius Assembly delivers enhanced versatility and efficiency in DNA assembly, facilitating improved standardization and automation