Phenoliner: A New Field Phenotyping Platform for Grapevine Research.

In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide the opportunity to perform non-destructive evaluations of phenotypic traits using different field phenotyping platforms. One of the biggest technical challenges for field phenotyping of grapevines are the varying light conditions and the background. In the present study the Phenoliner is presented, which represents a novel type of a robust field phenotyping platform. The vehicle is based on a grape harvester following the concept of a moveable tunnel. The tunnel it is equipped with different sensor systems (RGB and NIR camera system, hyperspectral camera, RTK-GPS, orientation sensor) and an artificial broadband light source. It is independent from external light conditions and in combination with artificial background, the Phenoliner enables standardised acquisition of high-quality, geo-referenced sensor data.

Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions.

In viticulture, phenotypic data are traditionally collected directly in the field via visual and manual means by an experienced person. This approach is time consuming, subjective and prone to human errors. In recent years, research therefore has focused strongly on developing automated and non-invasive sensor-based methods to increase data acquisition speed, enhance measurement accuracy and objectivity and to reduce labor costs. While many 2D methods based on image processing have been proposed for field phenotyping, only a few 3D solutions are found in the literature. A track-driven vehicle consisting of a camera system, a real-time-kinematic GPS system for positioning, as well as hardware for vehicle control, image storage and acquisition is used to visually capture a whole vine row canopy with georeferenced RGB images. In the first post-processing step, these images were used within a multi-view-stereo software to reconstruct a textured 3D point cloud of the whole grapevine row. A classification algorithm is then used in the second step to automatically classify the raw point cloud data into the semantic plant components, grape bunches and canopy. In the third step, phenotypic data for the semantic objects is gathered using the classification results obtaining the quantity of grape bunches, berries and the berry diameter.

An automated field phenotyping pipeline for application in grapevine research.

Due to its perennial nature and size, the acquisition of phenotypic data in grapevine research is almost exclusively restricted to the field and done by visual estimation. This kind of evaluation procedure is limited by time, cost and the subjectivity of records. As a consequence, objectivity, automation and more precision of phenotypic data evaluation are needed to increase the number of samples, manage grapevine repositories, enable genetic research of new phenotypic traits and, therefore, increase the efficiency in plant research. In the present study, an automated field phenotyping pipeline was setup and applied in a plot of genetic resources. The application of the PHENObot allows image acquisition from at least 250 individual grapevines per hour directly in the field without user interaction. Data management is handled by a database (IMAGEdata). The automatic image analysis tool BIVcolor (Berries in Vineyards-color) permitted the collection of precise phenotypic data of two important fruit traits, berry size and color, within a large set of plants. The application of the PHENObot represents an automated tool for high-throughput sampling of image data in the field. The automated analysis of these images facilitates the generation of objective and precise phenotypic data on a larger scale.

Engineered UV-A light-responsive gene expression system for measuring sun cream efficacy in mammalian cell culture.

Light-dependent gene regulation systems are advantageous as they allow for precise spatio-temporal control of target gene expression. In this paper, we present a novel UV-A and blue-light-inducible gene control system that is based on the light-dependent heterodimerization of the CRY2 and C1BN domains. Upon their interaction, a transcription factor is released from the cell membrane and initiates target gene expression. Capitalizing on that, sun cream UV-A protection properties were measured intracellularly.

Direct sensing of 5-methylcytosine by polymerase chain reaction.

The epigenetic control of genes by the methylation of cytosine resulting in 5-methylcytosine (5mC) has fundamental implications for human development and disease. Analysis of alterations in DNA methylation patterns is an emerging tool for cancer diagnostics and prognostics. Here we report that two thermostable DNA polymerases, namely the DNA polymerase KlenTaq derived from Thermus aquaticus and the KOD DNA polymerase from Thermococcus kodakaraensis, are able to extend 3'-mismatched primer strands more efficiently from 5 mC than from unmethylated C. This feature was advanced by generating a DNA polymerase mutant with further improved 5mC/C discrimination properties and its successful application in a novel methylation-specific PCR approach directly from untreated human genomic DNA.

Post-transcriptional Boolean computation by combining aptazymes controlling mRNA translation initiation and tRNA activation.

In cellular systems environmental and metabolic signals are integrated for the conditional control of gene expression. On the other hand, artificial manipulation of gene expression is of high interest for metabolic and genetic engineering. Especially the reprogramming of gene expression patterns to orchestrate cellular responses in a predictable fashion is considered to be of great importance. Here we introduce a highly modular RNA-based system for performing Boolean logic computation at a post-transcriptional level in Escherichia coli. We have previously shown that artificial riboswitches can be constructed by utilizing ligand-dependent Hammerhead ribozymes (aptazymes). Employing RNA self-cleavage as the expression platform-mechanism of an artificial riboswitch has the advantage that it can be applied to control several classes of RNAs such as mRNAs, tRNAs, and rRNAs. Due to the highly modular and orthogonal nature of these switches it is possible to combine aptazyme regulation of activating a suppressor tRNA with the regulation of mRNA translation initiation. The different RNA classes can be controlled individually by using distinct aptamers for individual RNA switches. Boolean logic devices are assembled by combining such switches in order to act on the expression of a single mRNA. In order to demonstrate the high modularity, a series of two-input Boolean logic operators were constructed. For this purpose, we expanded our aptazyme toolbox with switches comprising novel behaviours with respect to the small molecule triggers thiamine pyrophosphate (TPP) and theophylline. Then, individual switches were combined to yield AND, NOR, and ANDNOT gates. This study demonstrates that post-transcriptional aptazyme-based switches represent versatile tools for engineering advanced genetic devices and circuits without the need for regulatory protein cofactors.

Reprogrammed cell delivery for personalized medicine.

In most approaches, personalized medicine requires time- and cost-intensive characterization of an individual's genetic background in order to achieve the best-adapted therapy. For this purpose, cell-based drug delivery offers a promising alternative. In particular, synthetic biology has introduced the vision of cells being programmable therapeutic production facilities that can be introduced into patients. This review highlights the progress made in synthetic biology-based cell engineering toward advanced drug delivery entities. Starting from basic one-input responsive transcriptional or post-transcriptional gene control systems, the field has reached a level on which cells can be engineered to detect cancer cells, to obtain control over T-cell proliferation, and to restore blood glucose homeostasis upon blue light illumination. Furthermore, a cellular implant was developed that detects blood urate level disorders and acts accordingly to restore homeostasis while another cellular implant was engineered as an artificial insemination device that releases bull sperm into bovine ovarian only during ovulation time by recording endogenous luteinizing hormone levels. Soon, the field will reach a stage at which cells can be reprogrammed to detect multiple metabolic parameters and self-sufficiently treat any disorder connected to them.

Programmable single-cell mammalian biocomputers.

Synthetic biology has advanced the design of standardized control devices that program cellular functions and metabolic activities in living organisms. Rational interconnection of these synthetic switches resulted in increasingly complex designer networks that execute input-triggered genetic instructions with precision, robustness and computational logic reminiscent of electronic circuits. Using trigger-controlled transcription factors, which independently control gene expression, and RNA-binding proteins that inhibit the translation of transcripts harbouring specific RNA target motifs, we have designed a set of synthetic transcription­translation control devices that could be rewired in a plug-and-play manner. Here we show that these combinatorial circuits integrated a two-molecule input and performed digital computations with NOT, AND, NAND and N-IMPLY expression logic in single mammalian cells. Functional interconnection of two N-IMPLY variants resulted in bitwise intracellular XOR operations, and a combinatorial arrangement of three logic gates enabled independent cells to perform programmable half-subtractor and half-adder calculations. Individual mammalian cells capable of executing basic molecular arithmetic functions isolated or coordinated to metabolic activities in a predictable, precise and robust manner may provide new treatment strategies and bio-electronic interfaces in future gene-based and cell-based therapies.

Engineering molecular circuits using synthetic biology in mammalian cells.

Synthetic biology has made significant leaps over the past decade, and it now enables rational and predictable reprogramming of cells to conduct complex physiological activities. The bases for cellular reprogramming are mainly genetic control components affecting gene expression. A huge variety of these modules, ranging from engineered fusion proteins regulating transcription to artificial RNA devices affecting translation, is available, and they often feature a highly modular scaffold. First endeavors to combine these modules have led to autoregulated expression systems and genetic cascades. Analogous to the rational engineering of electronic circuits, the existing repertoire of artificial regulatory elements has further enabled the ambitious reprogramming of cells to perform Boolean calculations or to mimic the oscillation of circadian clocks. Cells harboring synthetic gene circuits are not limited to cell culture, as they have been successfully implanted in animals to obtain tailor-made therapeutics that have made it possible to restore urea or glucose homeostasis as well as to offer an innovative approach to artificial insemination.

Engineering of ribozyme-based riboswitches for mammalian cells.

Artificial RNA riboswitches--apart from protein-based gene regulation systems, which have been known about for a long time--have become increasingly important in biotechnology and synthetic biology. Aptamer-controlled hammerhead ribozymes (so-called aptazymes) have been shown to be a versatile platform for the engineering of novel gene regulators. Since aptazymes are cis-acting elements that are located in the untranslated regions of a gene of interest, their application does not need any further protein co-factor. This presents the opportunity to simplify complex gene networks while simultaneously expanding the repertoire of available parts. Nevertheless, the generation of novel aptazymes requires a functional aptamer-ribozyme connection, which can be difficult to engineer. This article describes a novel approach for using fluorescence activated cell sorting (FACS) in order to identify functional aptazymes in bacteria and their subsequent transfer into mammalian cells.

Smart medication through combination of synthetic biology and cell microencapsulation.

Recent advances in the field of synthetic biology have led to the design of a new generation of complex, man-made biological networks that operate inside living cells in a desired manner. Key elements of these systems are often controllable genetic switches that are capable of processing therapeutic signals by sensing and responding to the environment. For biomedical applications, however, it is necessary to seal these engineered cells in order to protect them from the host immune system and enable straightforward removal after completion of the therapy. A promising and successful approach is the microencapsulation of defined cells into a semi-permeable and biocompatible microcapsule. Shielding from the external environment still allows exchange to occur on a molecular basis. Thus, the powerful combination of synthetic biology and microencapsulation has been opening the door to novel and innovative cell-based biomedical applications, such as smart implantable drug delivery systems. This review highlights recent developments in the overlap of these two areas, thereby presenting promising developments and perspectives for future treatment strategies.

Rational design of a small molecule-responsive intramer controlling transgene expression in mammalian cells.

Aptamers binding proteins or small molecules have been shown to be versatile and powerful building blocks for the construction of artificial genetic switches. In this study, we present a novel aptamer-based construct regulating the Tet Off system in a tetracycline-independent manner thus achieving control of transgene expression. For this purpose, a TetR protein-inhibiting aptamer was engineered for use in mammalian cells, enabling the RNA-responsive control of the tetracycline-dependent transactivator (tTA). By rationally attaching the theophylline aptamer as a sensor, the inhibitory TetR aptamer and thus tTA activity became dependent on the ligand of the sensor aptamer. Addition of the small molecule theophylline resulted in enhanced binding to the corresponding protein in vitro and in inhibition of reporter gene expression in mammalian cell lines. By using aptamers as adaptors in order to control protein activity by a predetermined small molecule, we present a simple and straightforward approach for future applications in the field of Chemical Biology. Moreover, aptamer-based control of the widely used Tet system introduces a new layer of regulation thereby facilitating the construction of more complex gene networks.

Ligand-dependent regulatory RNA parts for Synthetic Biology in eukaryotes.

Artificial regulatory RNAs have been attracting more and more interest over the past years. Their small size, combined with versatile applications, make them promising tools for designing complex eukaryotic gene networks. A variety of such regulatory RNA parts have been developed that are capable of efficiently controlling gene expression. A common basis for many of these genetic switches is the specific ligand binding to a RNA domain, followed by a conformational change. Depending on the surroundings, this can affect transcription, translation or even RNA interference (RNAi) efficacy. This article provides a concise summary of the main controllable RNA parts thus far developed for eukaryotic systems.

Small molecule-triggered assembly of DNA nanoarchitectures.

The utilization of toehold-containing DNA strands allows for the assembly of complex nanostructures via kinetically driven hybridization reactions. Here, we have rendered this strategy ligand-dependent, resulting in small-molecule-inducible DNA nanoarchitectures.

Aptazyme-mediated regulation of 16S ribosomal RNA.

Developing artificial genetic switches in order to control gene expression via an external stimulus is an important aim in chemical and synthetic biology. Here, we expand the application range of RNA switches to the regulation of 16S rRNA function in Escherichia coli. For this purpose, we incorporated hammerhead ribozymes at several positions into orthogonalized 16S rRNA. We observed that ribosomal function is remarkably tolerant toward the incorporation of large additional RNA fragments at certain sites of the 16S rRNA. However, ribozyme-mediated cleavage results in severe reduction of 16S rRNA stability. We carried out an in vivo screen for the identification of sequences acting as ligand-responsive RNA switches, enabling thiamine-dependent switching of 16S rRNA function. In addition to expanding the regulatory toolbox, the presented artificial riboswitches should prove valuable to study aspects of rRNA folding and stability in bacteria.

Investigation of mRNA quadruplex formation in Escherichia coli.

The protocol presented here allows for the investigation of the formation of unusual nucleic acid structures in the 5'-untranslated region (UTR) of bacteria by correlating gene expression levels to the in vitro stability of the respective structure. In particular, we describe the introduction of G-quadruplex forming sequences close to the ribosome-binding site (RBS) on the mRNA of a reporter gene and the subsequent read-out of the expression levels. Insertion of a stable secondary structure results in the cloaking of RBS and eventually reduced gene expression levels. The structures and stability of the introduced sequences are further characterized by circular dichroism (CD) spectroscopy and thermal melting experiments. The extent of inhibition is then correlated to the stability of the respective quadruplex structure, allowing judgement of whether factors other than thermodynamic stability affect the formation of a given quadruplex sequence in vivo. Measuring gene expression levels takes 2 d including cloning; CD experiments take 5 hours per experiment.

Predictable suppression of gene expression by 5'-UTR-based RNA quadruplexes.

Four-stranded DNA and RNA quadruplexes or G4 motifs are non-B DNA conformations that are presumed to form in vivo, although only few explicit evidence has been reported. Using bioinformatics the presence of putative DNA G-quadruplexes within critical promoter regions has been demonstrated and a regulatory role in transcription has been suspected. However, in genomic DNA the presence of the complementary strand interferes with the potential to form a quadruplex motif. Contrarily RNA G4 motifs have no such limitation and consequently strong interference with gene expression is suspected. Nevertheless, experimental evidence is scarce. Here we show a well-defined structure-function relationship of synthetic quadruplex sequences in 5'-UTRs in multiple mammalian cell-lines. We establish a universal 'translational suppressor' effect of these motifs on gene expression at the translational level and show for the first time that specific features such as loop-length and the number of 'GGG'-repeats further determine the suppressive impact. Moreover, a consistent and predictable repression of gene expression is observed for naturally occurring RNA G4 motifs, augmenting the functional relevance of these unusual nucleic acid structures.

Mechanism of cadmium-mediated inhibition of Msh2-Msh6 function in DNA mismatch repair.

The observation that Cadmium (Cd(2+)) inhibits Msh2-Msh6, which is responsible for identifying base pair mismatches and other discrepancies in DNA, has led to the proposal that selective targeting of this protein and consequent suppression of DNA repair or apoptosis promote the carcinogenic effects of the heavy metal toxin. It has been suggested that Cd(2+) binding to specific sites on Msh2-Msh6 blocks its DNA binding and ATPase activities. To investigate the mechanism of inhibition, we measured Cd(2+) binding to Msh2-Msh6, directly and by monitoring changes in protein structure and enzymatic activity. Global fitting of the data to a multiligand binding model revealed that binding of about 100 Cd(2+) ions per Msh2-Msh6 results in its inactivation. This finding indicates that the inhibitory effect of Cd(2+) occurs via a nonspecific mechanism. Cd(2+) and Msh2-Msh6 interactions involve cysteine sulfhydryl groups, and the high Cd(2+):Msh2-Msh6 ratio implicates other ligands such as histidine, aspartate, glutamate, and the peptide backbone as well. Our study also shows that cadmium inactivates several unrelated enzymes similarly, consistent with a nonspecific mechanism of inhibition. Targeting of a variety of proteins, including Msh2-Msh6, in this generic manner would explain the marked broad-spectrum impact of Cd(2+) on biological processes. We propose that the presence of multiple nonspecific Cd(2+) binding sites on proteins and their propensity to change conformation on interaction with Cd(2+) are critical determinants of the susceptibility of corresponding biological systems to cadmium toxicity.