Evidence map›Paper›PMID 41033678›Full record

ArticleThe plant pathology journal2025

Random Amplified Polymorphic DNA-Based Analysis of Genetic Diversity and Characterization of Representative Bipolaris oryzae Isolates from 2023-2024.

Seoyeon Kim, Hyunjung Chung, Seol-Hwa Jang, Shinhwa Kim, Ki-Tae Kim, Sook-Young Park

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Article in The plant pathology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Seoyeon KimDepartment of Plant Medicine, Sunchon National University, Suncheon 57922, Korea.
Hyunjung ChungCrop Foundation Research Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Korea.
Seol-Hwa JangDepartment of Plant Medicine, Sunchon National University, Suncheon 57922, Korea.
Shinhwa KimCrop Foundation Research Division, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Korea.
Ki-Tae KimDepartment of Plant Medicine, Sunchon National University, Suncheon 57922, Korea.
Sook-Young ParkDepartment of Plant Medicine, Sunchon National University, Suncheon 57922, Korea.

Funding

Rural Development Administration RS-2024-00400211
6 · The paper itself

Abstract

Rice brown spot, caused by Bipolaris oryzae, typically occurs during the rice harvest season and can cause substantial yield losses. In 2023-2024, this disease emerged in rice cultivation areas of Korea. However, the population structure and genetic diversity of B. oryzae isolates remain unclear. Such information is necessary to effectively target and control rice brown spot. Thus, this study aimed to investigate the population structure of 50 B. oryzae isolates collected from the leaves, neck, and panicles of rice infected with brown spot through random amplified polymorphic DNA analysis. Among 140 primers tested, 30 were selected and applied, of which 5 exhibited significant polymorphisms among the isolates. The generated dendrogram revealed five clades with 92% similarity. Group A was the most predominant, comprising 84.0% of the total isolates (42/50), followed by Group C (8.0%, 4/50). Groups B, D, and E each contained one isolate (2%). These isolates were collected from the southern region of Korea and exhibited high genetic similarity (>95%). Two strains from Group A (F1305 and F1318) and one each from Groups B (F1248), C (F1253), D (F1317), and E (F1409) were selected and tested for their mycological characteristics and pathogenicity. Compared with the other strains, F1253, F1317, and F1409 exhibited higher conidial production and caused larger diseased leaf areas in the pathogenicity tests. These results suggest that the B. oryzae isolates that caused rice brown spot in 2023 are genetically homogeneous. This study may serve as a basis for developing targeted control strategies against brown spot.

Indexed as

Bipolaris oryzaebrown spot diseasegenetic diversityRAPD analysisrice

Identifiers

PMID41033678
PMCPMC12488372

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