First Report of Leaf Spot on Onion Caused by Fusarium acuminatum in Georgia.

Plant Dis

Department of Plant Pathology, University of Georgia, Tifton 31794.

Published: October 2013

An unknown disease was observed on shallot onions (Allium cepa L.) in Tattnall County, Georgia, in September of 2012. Disease symptoms included leaf tip die back and scattered light brown lesions on leaves, oval to round in shape, with a size ranging from 0.5 to 2.0 cm. The disease occurred in approximately 1.2 ha of commercial onion fields, and disease incidence ranged from 50 to 70%. Infected leaf tissues from 10 plants were surface sterilized with 0.5% NaOCl and plated on quarter-strength potato dextrose agar (QPDA). The fungus grew on all plates, producing bright orange to rose pigmentation in the medium after incubation at 25°C for 5 days. The fungus produced sickle shaped macroconidia with 3 to 6 septa, 4 to 5 μm wide, and 30 to 54 μm in length. Chlamydospores were formed in chains and averaged 20.4 × 16.8 μm. The fungus was identified as Fusarium sp. based on morphological characteristics (3). Genomic DNA was extracted from single conidial cultures of three representative isolates and the internal transcribed spacer regions of rDNA (ITS1-5.8S-ITS2) were amplified and sequenced with primers ITS1 and ITS4 (2). MegaBLAST analysis of the sequences showed that they were 100% identical to a Fusarium acuminatum isolate (Accession No. JN624894). ITS sequence of an isolate FAON-1 was deposited in GenBank (KC477845). Pathogenicity tests were performed with the three isolates grown on QPDA at 25°C for 7 days. Eight-week-old shallot onion seedlings were inoculated by foliar spray with conidial suspensions at 2 × 10 spores/ml (5 ml per plant). Ten plants were inoculated with each isolate and 10 plants were sprayed with water as a control. The plants were incubated in a humidified chamber at (25 ± 3°C) with >95% relative humidity and 12-h photoperiod for 48 h after inoculation, and then kept in a greenhouse at 22 ± 2°C. Inoculated plants started to show symptoms identical to those observed in the field 7 days after inoculation, and disease incidence reached 100% within 14 days. No disease occurred on the control plants. The fungus was reisolated from the diseased plants and confirmed to be F. acuminatum based on morphological characteristics and molecular identification. Onion was previously reported to be a host of F. acuminatum in Montana (4). To our knowledge, this study is the first report confirming F. acuminatum causing disease on onion in Georgia. Onion is a major vegetable crop in Georgia with an annual production of approximately 5,000 ha (1). Occurrence of leaf spot caused by F. acuminatum and the impact of the disease needs to be considered in developing and implementing disease management programs in onion production. References: (1) S. R. Boatright and J. C. Mckissick, Univ. of Georgia CAES Publication AR-10-02, 2010. (2) M. A. Innes et al. PCR Protocols: A Guide to Methods and Applications. Academic Press, San Diego, CA. 1990. (3) J. F. Leslie and B. A. Summerell. The Fusarium Laboratory Manual. Blackwell Publishing, Ames, IA, 2006. (4) C. G. Shaw. Washington State Univ. Agric. Exp. Sta. Bull. 765:12, 1973.

Download full-text PDF

Source
http://dx.doi.org/10.1094/PDIS-04-13-0392-PDNDOI Listing

Publication Analysis

Top Keywords

disease
9
leaf spot
8
fusarium acuminatum
8
disease occurred
8
disease incidence
8
25°c days
8
based morphological
8
morphological characteristics
8
control plants
8
onion
7

Similar Publications

Controlled human infection studies accelerate vaccine development.

J Infect Dis

January 2025

Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland 21218, USA.

Clinical trials that employ human challenge, also known as controlled human infection models (CHIM), have rapidly advanced vaccine development for multiple pathogens, including at least 30 disease models to date. CHIM studies, championed by networks of researchers, regulators, ethicists, technical experts, and other stakeholders, limit exposure of individuals to an investigational product, de-risk product investments, identify correlates of protection, and most importantly provide a prompt readout of vaccine efficacy. While CHIM studies provide multiple advantages, important challenges exist, including strengthening the relevance and comparability of CHIM study results to efficacy trials in endemic areas, particularly in resource-limited settings.

View Article and Find Full Text PDF

Plasma phosphorylated tau biomarkers open unprecedented opportunities for identifying carriers of Alzheimer's disease pathophysiology in early disease stages using minimally invasive techniques. Plasma p-tau biomarkers are believed to reflect tau phosphorylation and secretion. However, it remains unclear to what extent the magnitude of plasma p-tau abnormalities reflects neuronal network disturbance in the form of cognitive impairment.

View Article and Find Full Text PDF

Background: In this phase 3 trial of an investigational maternal respiratory syncytial virus prefusion F protein-based vaccine (RSVPreF3-Mat), a higher rate of preterm birth was observed in the vaccine (6.8%) versus the placebo group (4.9%).

View Article and Find Full Text PDF

Job-exposure matrix (JEM) validity on crystalline silica among systemic sclerosis patients.

Occup Med (Lond)

January 2025

Maine et Loire, Univ Angers, CHU Angers, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, 49000 Angers, France.

Background: Systemic sclerosis (SSc) is the connective tissue disease with the highest individual mortality. Crystalline silica is known to be an occupational risk factor for SSc. To assess past crystalline silica exposure, we aimed to study the validity of a job exposure matrix (JEM) to assess occupational exposure to crystalline silica compared to specific occupational interviews in two populations of SSc patients.

View Article and Find Full Text PDF

Transformers for Neuroimage Segmentation: Scoping Review.

J Med Internet Res

January 2025

Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.

Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!