CRISPR-Cas systems have revolutionized microbial genome engineering, yet counter-selection strategies typically rely on targeted DNA cleavage, where the severe cytotoxicity of double-strand breaks restricts transformation efficiency and clonal recovery. Here, we present an innovative strategy, SuCas12a2-Universal Recombination Editing (SURE), that circumvents these limitations by repurposing the RNA-targeting CRISPR-Cas12a2 system. Instead of directly attacking the genome, SURE utilizes Cas12a2’s RNA-triggered collateral activity to induce an abortive infection-like state, providing a potent yet recoverable selective pressure. This strategy increases transformation efficiency by up to 1,000-fold compared to Cas9- or Cas12-based systems while achieving over 90% editing efficiency for gene knockout, insertion, and replacement in Escherichia coli MG1655. We validate the SURE platform’s broad utility by extending it to diverse species, including Bacillus subtilis BSZR and Shewanella oneidensis MR-1. Mechanistically, we identify collateral double-stranded DNA degradation as the decisive factor for driving efficient selection. Finally, we apply this system to engineer E. coli MG1655 for efficient assimilation of the plastic monomer ethylene glycol, demonstrating its practical utility. Collectively, this work establishes a universal and robust RNA-guided editing framework that resolves the toxicity-efficiency trade-off inherent to the conventional DNA-targeting methods. Microbial genome engineering is often limited by toxicity from existing selection methods. Here, the authors develop a Cas12a2-based RNA-guided editing strategy that improves efficiency and reduces cellular damage, providing a robust tool for microbial engineering.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.