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The vast number of unknown phage-encoded ORFan genes and limited insights into the genome organization of phages illustrate the need for efficient genome engineering tools to study bacteriophage genes in their natural context. In addition, there is an application-driven desire to alter phage properties, which is hampered by time constraints for phage genome engineering in the bacterial host. We here describe an optimized CRISPR-Cas3 system in Pseudomonas for straightforward editing of the genome of virulent bacteriophages. The two-vector system combines a broad host range CRISPR-Cas3 targeting plasmid with a SEVA plasmid for homologous directed repair, which enables the creation of clean deletions, insertions, or substitutions in the phage genome within a week. After creating the two plasmids separately, a co-transformation to P. aeruginosa cells is performed. A subsequent infection with the targeted phage allows the CRISPR-Cas3 system to cut the DNA specifically and facilitate or select for homologous recombination. This system has also been successfully applied for P. aeruginosa and Pseudomonas putida genome engineering. The method is straightforward, efficient, and universal, enabling to extrapolate the system to other phage-host pairs.
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http://dx.doi.org/10.1007/978-1-0716-3798-2_8 | DOI Listing |
Brief Bioinform
August 2025
School of Computer Science, Xi'an Polytechnic University, 710048, Xi'an, China.
Cancer, with its inherent heterogeneity, is commonly categorized into distinct subtypes based on unique traits, cellular origins, and molecular markers specific to each type. However, current studies primarily rely on complete multi-omics datasets for predicting cancer subtypes, often overlooking predictive performance in cases where some omics data may be missing and neglecting implicit relationships across multiple layers of omics data integration. This paper introduces Multi-Layer Matrix Factorization (MLMF), a novel approach for cancer subtyping that employs multi-omics data clustering.
View Article and Find Full Text PDFAppl Biochem Biotechnol
September 2025
School of Biological Sciences, University of the Punjab, Quaid-E-Azam Campus, P.O. 54590, Lahore, Pakistan.
Recombinant DNA technology is widely used to produce industrially and pharmaceutically important proteins. In silico analysis, performed before executing wet lab experiments has been greatly helpful in this connection. A shift in protein analysis has been observed over the past decade, driven by advancements in bioinformatics databases, tools, software, and web servers.
View Article and Find Full Text PDFBiol Cybern
September 2025
Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 61801, IL, USA.
In this article, a biophysically realistic model of a soft octopus arm with internal musculature is presented. The modeling is motivated by experimental observations of sensorimotor control where an arm localizes and reaches a target. Major contributions of this article are: (i) development of models to capture the mechanical properties of arm musculature, the electrical properties of the arm peripheral nervous system (PNS), and the coupling of PNS with muscular contractions; (ii) modeling the arm sensory system, including chemosensing and proprioception; and (iii) algorithms for sensorimotor control, which include a novel feedback neural motor control law for mimicking target-oriented arm reaching motions, and a novel consensus algorithm for solving sensing problems such as locating a food source from local chemical sensory information (exogenous) and arm deformation information (endogenous).
View Article and Find Full Text PDFAppl Microbiol Biotechnol
September 2025
School of Plant Sciences, The University of Arizona, 1140 E South Campus Drive, Forbes 303, Tucson, AZ, 85721, USA.
Fungal endophytes and epiphytes associated with plant leaves can play important ecological roles through the production of specialized metabolites encoded by biosynthetic gene clusters (BGCs). However, their functional capacity, especially in crops like lettuce (Lactuca sativa L.), remains poorly understood.
View Article and Find Full Text PDFNat Prod Rep
September 2025
Saarland University, Department of Pharmacy, Saarbrücken, Germany.
Focus on 2004 to 2024The rediscovery of natural products (NPs) as a critical source of new therapeutics has been greatly advanced by the development of heterologous expression platforms for biosynthetic gene clusters (BGCs). Among these, species have emerged as the most widely used and versatile chassis for expressing complex BGCs from diverse microbial origins. In this review, we provide a comprehensive analysis of over 450 peer-reviewed studies published between 2004 and 2024 that describe the heterologous expression of BGCs in hosts.
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