Explore recent research papers collected from PubMed.
This study describes a novel bioengineering platform that uses Agrobacterium-derived growth regulator genes to create vascularly integrated 'symbionts' for transgene expression. The researchers successfully tested this system in potato plants, demonstrating that these engineered structures can produce recombinant proteins without negatively impacting plant growth or tuber yield.
This study demonstrates that melatonin enhances salt tolerance in potatoes by inducing the StMYB55-StWRKY28 transcriptional complex, which promotes flavonoid accumulation. The research identifies key genes involved in this regulatory pathway, providing a molecular basis for breeding salt-resistant potato varieties.
This study identifies 18 StRBOH genes in the potato genome and characterizes the role of StRBOH17 in mediating resistance against Phytophthora infestans. Functional analysis reveals that the StBIK1-StRBOH17-ROS module is a key regulatory mechanism in potato late blight defense, providing valuable targets for molecular breeding.
This paper reviews the potential of potato as a molecular farming platform for recombinant protein production, highlighting its advantages in storage and biosafety. It discusses technical advances such as genome editing, glycoengineering, and the development of diploid-based 'bioreactor potatoes' to overcome previous limitations in expression levels and processing costs.
This study identifies a novel Streptomyces species (strain D6) as a causal agent of potato common scab and provides its chromosome-level genome assembly. Comparative genomic analysis revealed 74 virulence-associated genes shared with S. scabiei, offering insights into the evolution and mechanisms of pathogenicity in potato-infecting actinomycetes.
This review discusses the application of genomic-assisted breeding strategies, such as marker-assisted selection and gene editing, across root, tuber, and banana crops including potato. It highlights how these tools can overcome the genetic complexities of vegetatively propagated crops to accelerate breeding progress and genetic gains.
This study investigates how aqueous rosemary extract (ARE) primes defense responses in Solanum tuberosum against Potato Virus X and Phytophthora infestans. By analyzing cultivar-specific metabolic profiles and gene expression, the research demonstrates that ARE can significantly reduce pathogen accumulation and lesion size, highlighting the role of basal metabolic states in priming efficiency.
This study investigates the effects of curdlan and gellan gum on the structural stability and retrogradation of potato starch gels. The findings demonstrate that these additives enhance gel hardness and thermal stability while delaying retrogradation through modified molecular interactions and improved water retention.
This study utilizes optical absorption and scattering properties to non-destructively monitor quality changes, such as starch and soluble solids content, in colored potato cultivars during alternating cold and ambient storage. By applying machine learning algorithms to spectral data, the researchers developed high-accuracy prediction models for moisture, starch, and firmness, facilitating rapid quality assessment in post-harvest potato management.
This study develops an attention-based Convolutional Neural Network (CNN) for the classification of plant diseases, specifically utilizing potato leaf images from the PlantVillage dataset. The model achieved high accuracy in identifying potato diseases and demonstrates potential for cross-dataset generalization in agricultural pathology applications.