Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1126/science.89.2320.566 | DOI Listing |
Exp Parasitol
December 2024
Department of Botany, Aligarh Muslim University, Aligarh-202002, INDIA. Electronic address:
Effect of Meloidogyne incognita and Pseudomonas syringae pv. aptata (Psa) was observed singly, together and pre and post inoculations in 4 soil types on plant growth, parameters, chlorophyll, carotenoid and proline contents of beetroot (Beta vulgaris L). Plant growth, chlorophyll and carotenoid contents were greater in loam soil followed by 20% fly ash soil, 10% fly ash plus 10% sand amended soil and least in 20 % sand mix soil.
View Article and Find Full Text PDFInt J Syst Evol Microbiol
December 2024
Department of Plant Pathology, University of Florida, Gainesville, FL, USA.
Three fluorescent bacterial strains, K1, K13 and K18, were obtained from watermelon () foliage symptomatic of bacterial leaf spot of cucurbits in Florida. The strains underwent phenotypic characterization, including LOPAT (levan production, oxidase activity, pectolytic activity on potato, arginine dihydrolase production and hypersensitive response (HR) on both tobacco and tomato) and pathogenicity testing on watermelon and squash seedlings. Whole-genome sequencing of the isolates was performed, and multi-locus sequence analysis (MLSA) utilizing housekeeping genes , , and placed the isolates into two distinct clades within the genus.
View Article and Find Full Text PDFmSystems
December 2024
Department of Plant Pathology, University of Florida, Gainesville, Florida, USA.
The widespread use of antimicrobials that target bacterial pathogens has driven evolution of resistance, compromising the efficacy of these bactericides. Understanding the emergence and spread of resistance genes via mobile genetic elements is crucial for combating antimicrobial resistance. Copper resistance (CuR) in pv.
View Article and Find Full Text PDFSci Rep
November 2024
School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Recent advancements in hyperspectral imaging (HSI) for early disease detection have shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) HSI data representing the responses of plants at different stages of leaf disease progression. To address these gaps, we used bacterial leaf spot (Xanthomonas perforans) of tomato as a model system. Hyperspectral images of tomato leaves, validated against in planta pathogen populations for seven consecutive days, were analyzed to reveal differences between infected and healthy leaves.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Plant Pathology, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!