Bacterial spot caused by spp. is a significant disease that challenges pepper growers worldwide and is particularly severe in a hot and humid environment. Understanding the pathogen's population biology is critical for sustainable disease management. The goal of this study was to characterize the species, race, and bactericide sensitivity of bacterial spot-associated collected from pepper in Florida. A survey of pepper production fields in southwest Florida between 2019 and 2021-covering two counties, eight farms, and two transplant facilities-resulted in the isolation of 542 and 35 strains. Four races were identified on pepper, of which most strains were race P1 (42%), race P6 (26%), race P3 (24%), and less common was race P4 (8%). All strains were characterized as race P1 and showed a compatible reaction on tomato. Sixty-two and 96% of strains were sensitive to copper sulfate and streptomycin, respectively. One farm that did not use copper to manage the disease contained only copper-sensitive strains and was the only farm with race P3 strains. Strains were assayed for starch hydrolysis activity of which a third of strains were strongly amylolytic, a characteristic not typically observed in . All strains produced bacteriocins against in vitro. The population causing bacterial spot on pepper in southwest Florida is diverse and dynamic; thus, regular monitoring provides pertinent information to plant breeders and growers for designing disease management strategies.
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http://dx.doi.org/10.1094/PDIS-10-22-2484-RE | DOI Listing |
Plant Dis
January 2025
USDA-ARS , Ithaca, United States.
, commonly known as the "Chinese hibiscus", is a widely cultivated shrub with ornamental and medicinal applications (Jadhav et al., 2009). However, it is known to be susceptible to a range of pathogens including bacteria (Chase, 1986).
View Article and Find Full Text PDFFront Vet Sci
December 2024
State Key Laboratory of Mariculture Breeding, Engineering Research Centre of the Modern Technology for Eel Industry, Ministry of Education, Fisheries College of Jimei University, Xiamen, China.
is a common bacterial pathogen in aquaculture, often leading to visceral white spot disease in large yellow croakers (). Previous studies have found that certain aptamers show an efficient antibacterial effect against this pathogen. In this study, we analyzed the transcriptome of to get insights into the antibacterial and inhibitions mechanisms following exposure to the aptamer B4.
View Article and Find Full Text PDFBiomolecules
November 2024
State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming 650201, China.
Banana crop ranks among the most crucial fruit and food crops in tropical and subtropical areas. Despite advancements in production technology, diseases such as cordana leaf spot, caused by , remain a significant challenge, reducing productivity and quality. Traditional chemical controls are becoming less effective due to the development of resistance in target pathogens, which pose significant environmental and health concerns.
View Article and Find Full Text PDFBMC Ophthalmol
January 2025
Department of Tuberculosis, New District Branch of Northern Jiangsu People's Hospital of Jiangsu Province, Yangzhou, 225001, Jiangsu Province, China.
Background: This study aims to detect Mycobacterium tuberculosis complex (MTBC) DNA in intraocular fluid from clinically suspected tuberculous uveitis patients using multiplex polymerase chain reaction (PCR) and investigate the diagnostic utility of multiplex PCR for tuberculous uveitis.
Methods: Primers targeting three specific genes (MPB64, CYP141, and IS6110) within the MTBC genome were designed. Multiplex PCR was conducted using DNA from the H37Rv strain as well as DNA extracted from fluids of confirmed tuberculosis patients to assess primer specificity and method feasibility.
Front Plant Sci
December 2024
School of Information Technology (IT) and Engineering, Melbourne Institute of Technology, Melbourne, VIC, Australia.
Introduction: Cotton, being a crucial cash crop globally, faces significant challenges due to multiple diseases that adversely affect its quality and yield. To identify such diseases is very important for the implementation of effective management strategies for sustainable agriculture. Image recognition plays an important role for the timely and accurate identification of diseases in cotton plants as it allows farmers to implement effective interventions and optimize resource allocation.
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