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CRISPR/Cas systems enable gene editing through the induction of site‐specific DNA double‐strand breaks (DSB). However, the nature of the induced modification highly depends on the mechanism used for DNA DSB repair. Non‐homologous end joining (NHEJ)‐mediated targeted mutagenesis induced by CRISPR/Cas is an already standardly applied tool, which can lead to various different kinds of mutations at a specific genomic site. Nevertheless, precise genome modification using homologous donor sequences is still challenging in plants. Applications depending on the less frequent homologous recombination (HR) require further improvements to create an attractive and efficient tool for general application in plants. Focusing on this issue, we developed the in planta gene targeting (ipGT) system, which is based on the simultaneous excision of a stably integrated, homologous donor sequence and the induction of a DSB within the target site. In recent years, several improvements were achieved enhancing gene targeting (GT) frequencies. After the successful application of Streptococcus pyogenes Cas9 (SpCas9) and Staphylococcus aureus Cas9 (SaCas9) for ipGT, we were able to further improve the system using Lachnospiraceae bacterium Cas12a (LbCas12a), which also enables cleavage in T‐rich regions. Most recently, we tested an improved, temperature‐tolerant version of LbCas12a (ttLbCas12a) for ipGT and were able to further increase GT efficiencies. Here, we describe the experimental procedure of the recently published ipGT system using ttLbCas12a in Arabidopsis thaliana in detail.

Introduction Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control and manual localization of the region of interest (ROI) of ascending (AA) and proximal descending (PDA) aorta, which limit the analysis in large-scale population-based studies. Using 5100 scans from UK Biobank, this study sought to develop and validate a fully automated method to 1) detect and locate the ROIs of AA and PDA, and 2) provide a quality control mechanism. Methods The automated AA and PDA detection-localization algorithm followed these steps: 1) foreground segmentation; 2) detection of candidate ROIs by Circular Hough Transform (CHT); 3) spatial, histogram and shape feature extraction for candidate ROIs; 4) AA and PDA detection using Random Forest (RF); 5) quality control based on RF detection probability. To provide the ground truth, overall image quality (IQ = 0–3 from poor to good) and aortic locations were visually assessed by 13 observers. The automated algorithm was trained on 1200 scans and Dice Similarity Coefficient (DSC) was used to calculate the agreement between ground truth and automatically detected ROIs. Results The automated algorithm was tested on 3900 scans. Detection accuracy was 99.4% for AA and 99.8% for PDA. Aorta localization showed excellent agreement with the ground truth, with DSC ≥ 0.9 in 94.8% of AA (DSC = 0.97 ± 0.04) and 99.5% of PDA cases (DSC = 0.98 ± 0.03). AA×PDA detection probabilities could discriminate scans with IQ ≥ 1 from those severely corrupted by artefacts (AUC = 90.6%). If scans with detection probability < 0.75 were excluded (350 scans), the algorithm was able to correctly detect and localize AA and PDA in all the remaining 3550 scans (100% accuracy). Conclusion The proposed method for automated AA and PDA localization was extremely accurate and the automatically derived detection probabilities provided a robust mechanism to detect low quality scans for further human review. Applying the proposed localization and quality control techniques promises at least a ten-fold reduction in human involvement without sacrificing any accuracy.

Selectable marker genes are widely used for the efficient transformation of crop plants. In most cases, selection is based on antibiotic or herbicide resistance. Due mainly to consumer concerns, a suite of strategies (site-specific recombination, homologous recombination, transposition and co-transformation) have been developed to eliminate the marker gene from the nuclear or chloroplast genome after selection. Current efforts concentrate on systems where marker genes are eliminated efficiently soon after transformation. Alternatively, transgenic plants are produced by the use of marker genes that do not rely on antibiotic or herbicide resistance but instead promote regeneration after transformation. Here, the merits and shortcomings of different approaches and possible directions for their future development are discussed.

Surprising species-specific differences in non-homologous end-joining (NHEJ) of genomic double-strand breaks (DSBs) have been reported for the two dicotyledonous plants Arabidopsis thaliana and Nicotiana tabacum. In Arabidopsis deletions were, on average, larger than in tobacco and not associated with insertions. To establish the molecular basis of the phenomenon we analysed the fate of free DNA ends in both plant species by biolistic transformation of leaf tissue with linearized plasmid molecules. Southern blotting indicated that, irrespective of the nature of the ends (blunt, 5' or 3' overhangs), linearized full-length DNA molecules were, on average, more stable in tobacco than in Arabidopsis. The relative expression of a β-glucuronidase gene encoded by the plasmid was similar in both plant species when the break was distant from the marker gene. However, if a DSB was introduced between the promoter and the open reading frame of the marker, transient expression was halved in Arabidopsis as compared to tobacco. These results indicate that free DNA ends are more stable in tobacco than in Arabidopsis, either due to lower DNA exonuclease activity or due to a better protection of DNA break ends or both. Exonucleolytic degradation of DNA ends might be a driving force in the evolution of genome size as the Arabidopsis genome is more than twenty times smaller than the tobacco genome.

Truth and fiction on the Net Yannick Maignien The Internet and the World Wide Web are often praised for their prodigious informational power, but criticised at the same time for the difficulty of determining the veracity of information obtained. The present article attempts to reflect on the necessity of moving beyond this contradiction. With the advent of the Web, fundamental questions regarding the relation of language to the world are once again at stake. Thus, relationships of reference, denotation, veridiction, symbolic denotation and fiction, proposed by logical and analytic philosophy, should be increasingly employed. Moreover, the patterns of human behaviour underlying the Web could be more accurately analysed using pragmatic theories, in order to integrate procedural metadata. Finally, the question of the emergence of fictional or “possible” worlds within the Web heuristic seems essential if we hope to move beyond the error/truth dichotomy. Automatic linguistic tools (metalanguage, RDF syntax) must take into account richer logical dimensions than those currently envisaged. Date of publication: 25 November 2002

Classical plant breeding was extremely successful in generating high yielding crop varieties. Yet, in modern crops, the long domestication process has impoverished the genetic diversity available for breeding. This is limiting further improvements of elite germplasm by classical approaches. The CRISPR/Cas system now enables promising new opportunities to create genetic diversity for breeding in an unprecedented way. Due to its multiplexing ability, multiple targets can be modified simultaneously in an efficient way, enabling immediate pyramiding of multiple beneficial traits into an elite background within one generation. By targeting regulatory elements, a selectable range of transcriptional alleles can be generated, enabling precise fine-tuning of desirable traits. In addition, by targeting homologues of so-called domestication genes within one generation, it is now possible to catapult neglected, semi-domesticated and wild plants quickly into the focus of mainstream agriculture. This further enables the use of the enormous genetic diversity present in wild species or uncultured varieties of crops as a source of allele-mining, widely expanding the crop germplasm pool.