First report of Agroathelia rolfsii causing southern blight on cowpea in China

Cowpea ( L.) is a legume consumed as a high-quality plant protein source in many parts of the world. In August 2023, it was observed that a plant disease affected cowpea growth in Yiyang (28.34°N, 112.55°E), China. The average disease incidence was 10%, resulting in 8.5% economic losses in approxima...

Full description

Saved in:
Bibliographic Details
Published inPlant disease
Main Authors Huang, Binbin, Du, Jie, Huang, Jun, Zhang, Cuiyang, He, Haoxin, Guo, Zhaohui, Yang, Di, Zheng, Jingyuan, Chen, Wu, Liu, Qingshu
Format Journal Article
LanguageEnglish
Published United States 01.03.2024
Subjects
Online AccessGet more information

Cover

Loading…
More Information
Summary:Cowpea ( L.) is a legume consumed as a high-quality plant protein source in many parts of the world. In August 2023, it was observed that a plant disease affected cowpea growth in Yiyang (28.34°N, 112.55°E), China. The average disease incidence was 10%, resulting in 8.5% economic losses in approximately 3,000 m . The symptoms initially appeared as brown lesions near the stem-soil interface and the lesions were colonized by white mycelia. As the disease progressed, the disease symptoms included constriction and brown staining at the base of the stem, covered with a small amount of white mycelia. Eventually, the entire plants withered and collapsed and many sclerotia were scattered on the ground around the diseased stem. Twenty samples (10 sclerotia and 10 diseased tissue fragments) were collected from symptomatic plants for causal agent isolation. Samples were disinfected with 70% ethanol for 30 s, 5% NaClO for 1 min, rinsed three times with sterile water, dried and placed on potato dextrose agar (PDA) plates at 28℃ in the dark. In total, 20 isolates were obtained by the hyphal tip method (Terrones et al. 2022) and showed a consistent phenotype of white cottony mycelia on PDA with an growth rate of 12.9 to 21.3 mm/day (n = 20). Sclerotia formed at five to eight days post inoculation, were initially whitish, turning beige and eventually dark brown. The diameter of mature sclerotia ranged from 0.89 to 2.13 mm (mean = 1.64±0.29 mm; n =50). For pathogen identification, ITS1/ITS4 (White et al. 1990) and EF1-983F/EF1-2218R (Rehner and Buckley 2005) primers were used to amplify the internal transcribed spacer regions (ITS) and translation elongation factor-1 alpha gene (TEF-1α), respectively. The sequences of all 20 isolates showed 99% to 100% similarity with  sequences from GenBank by BLAST analysis. The sequences of two representative strains, ID1 and ID4, were deposited in GenBank. The ITS sequences of ID1 (OR689482) and ID4 (OR689481) were >99% similar to strain QJ7 (593/596 bp; MZ750983) and strain Kale078 (565/568 bp; MN872304), respectively. Also, TEF-1α sequences of ID1 (OR713735) and ID4 (OR713736) were >99% similar to the sequences of strain HS-Sr (1073/1073 bp; OL416131) and strain MSB1-2 (1070/1075 bp; MN702790), respectively. Phylogenetic analysis based on ITS and TEF1-α sequences indicated that ID1 and ID4 clustered into the clade. Based on morphology and sequence analyses, the isolates ID1 and ID4 were identified as (anamorph ). Pathogenicity tests were conducted three times on healthy 30-day-old cowpea seedlings. Five plants were inoculated with 6-day-old mycelial discs (6 mm) of ID1 or ID4 at the base of the seedlings (n = 30) while four plants were inoculated with a sterile PDA disc as a control (n = 12). All seedlings were cultivated in a greenhouse with a temperature of 26°C to 28°C and relative humidity 60% to 80% with a 14/10 h light/dark photoperiod. Eight days later, all the fungal inoculated seedlings showed symptoms including brown necrosis and collapse of the stems, and eventual withering of the seedlings. Control plants remained asymptomatic. The causal pathogens were reisolated in PDA plates and identified by ITS sequence analysis, completing Koch's postulates. To our knowledge, this is the first report of   causing southern blight on cowpea in China. Early accurate diagnosis will help farmers to adopt suitable practices to control disease outbreaks and reduce losses.
ISSN:0191-2917
DOI:10.1094/PDIS-10-23-2208-PDN