North Carolina (NC) is the fifth largest producer of bell pepper (Capsicum annuum) in the US with an estimated 2,400 acres in production (NASS-USDA, 2022). A survey of bacterial diseases of peppers was initiated in 2020 after numerous bacterial spot outbreaks were reported in NC. Bacterial spot is caused by a complex of four Xanthomonads: X. euvesicatoria, X. vesicatoria, X. perforans, and X. hortorum pv. gardneri (Larrahondo-Rodríguez et al., 2022). If not preemptively managed, bacterial spot can cause up to 40% yield loss (Kousik and Ritchie, 1998). During the 2020 and 2021 growing seasons, 103 yellow mucoid colonies were isolated from plants representing 51 pepper cultivars symptomatic of bacterial spot, i.e., water-soaked leaf lesions that become necrotic spots on leaves and fruits across 22 commercial fields in NC following published methods (Klein-Gordon et al., 2021). All colonies were characterized to species using the qPCR species-specific primers and probes described by Strayer et al. 2016. Of the 103 colonies, 12 isolates tested positive for X. perforans. To confirm qPCR results, a Multi-Locus Sequence Analysis (MLSA) was run using fusA, gapA, gltA, gyrB, and lacF following previously described methods (Almeida et al., 2010) on three representative isolates: AHX61, collected in September 2020 from a field with 20% disease severity in Wake County on cv. Canary Bell; AHX261, collected in July 2021 from a field with 50% disease severity in Sampson County on Jalapeño; and AHX426, collected in August 2021 from a field with 50% disease severity in Dublin County on Jalapeño. All gene sequences were deposited to NCBI (GenBank Accessions: OQ799538-OQ799552) and compared to those from X. euvesicatoria, X. hortorum pv. gardneri, X. perforans, and X. vesicatoria type strains (Almeida et al., 2010). The MLSA showed AHX61, AHX261, and AHX426 cluster with X. perforans ICMP16690T, sharing 99-100% nucleotide similarity. Koch's postulates were performed with the three strains, Xp1484T [ X. perforans type strain, (Wilson 1987)], and water as a negative control. Three 10-week-old bell pepper plants (cv. Early Cal Wonder) were dip-inoculated in 600 mL of a bacterial suspension at an OD600 of 0.3 (~5x108 CFU/mL) and 0.04% Silwet L-77 per strain or water. All 18 plants were individually incubated in a plastic bag for 48 h post-inoculation at 28°C, 80% relative humidity, and 14 h:10 h light-dark cycle in a growth chamber, after which plastic bags were removed. Water-soaking and necrotic spots characteristic of bacterial spot were first observed at six days post-inoculation (dpi). At 14 dpi, symptomatic leaves were removed from treated plants to attempt pathogen re-isolation. Yellow mucoid colonies similar in morphology to those originally inoculated were recovered from all plants and confirmed to be X. perforans through sequencing; no isolates were recovered from water-treated plants. To our knowledge, this is the first time X. perforans is isolated in commercial bell pepper and specialty pepper fields in the state. This is an indication that the Xanthomonas population on peppers in the state is more diverse than previously reported and that pathogen populations will require monitoring for possible species shifts for this crop in NC.
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http://dx.doi.org/10.1094/PDIS-02-24-0444-PDN | 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).
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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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