Biological characterization and in vitro fungicide screening of a new causal agent of walnut leaf spot in Guizhou Province, China

Walnut (<i>Juglans regia</i> L.) is a widely grown nut plant worldwide, including in Guizhou Province, located in southwest China. The high quality and special taste make Guizhou walnuts, particularly those produced in Hezhang County, a "Chinese National Geographical Indication Product" that substantially contributes to the local economy and grower's income. In July 2022, a serious occurrence of leaf spot disease was observed in a walnut plantation area, Shuitang Town, Hezhang County, Guizhou Province, China (27°07'67″N, 104°64'61″E). The causal agent was identified as <i>Didymella segeticola</i> through morphological characterization and amplification and sequencing of the internal transcribed spacer (ITS) region, beta-tubulin (<i>TUB</i>) gene, and glyceraldehyde-3-phosphate dehydrogenase (<i>G3PD</i>) gene. Koch's postulates, including re-isolation and identification, were performed to confirm its pathogenicity on healthy leaves. To our knowledge, this is the first report of <i>D. segeticola</i> causing leaf spot on walnuts worldwide. Further, to determine its biological characteristics, which could be utilized for future disease management, the effects of temperature, light, and carbon and nitrogen resources on mycelial growth, conidia production, and conidia germination and the effects of humidity on conidia germination were studied. The optimum temperature for mycelial growth of representative strain <i>D. segeticola</i> C27 was 20°C. Increasing the light period significantly decreased conidia production and conidia germination. Maltose and beef extract were the best carbon and nitrogen sources, respectively, for the pathogen. Conidia germination was enhanced at 90% humidity. <i>In vitro</i> screening of effective fungicides was conducted. Among the 20 screened fungicides, difenoconazole showed the best inhibition rate, with an EC<sub>50</sub> (concentration for 50% of the maximal effect) of 0.0007 μg/mL. Tetramycin also showed sufficient inhibitory effects against <i>D. segeticola</i>, with an EC<sub>50</sub> value of 0.0009 μg/mL. Our study provides new insights into the causal agent of walnut leaf spot in Guizhou, China, as well as the first pathogen characteristics and promising candidate fungicides for its management.

Authors

Institutions

Publication Details

Journal
Frontiers in Microbiology
Published
2024-10-09
DOI
https://doi.org/10.3389/fmicb.2024.1439487
Citations
2
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Biological characterization and in vitro fungicide screening of a new causal agent of walnut leaf spot in Guizhou Province, China

Wen‐Jia Yang, Junaid Ali Siddiqui, Ting Shi, Xiaoyulong Chen et al.
2 citations
Frontiers in Microbiology
Plant Pathogens and Fungal Diseases
0.65
article

Biological characterization and in vitro fungicide screening of a new causal agent of walnut leaf spot in Guizhou Province, China

Wen‐Jia Yang, Junaid Ali Siddiqui, Ting Shi, Xiaoyulong Chen, Ruidong Fan, Hao Ouyang, Shasha Deng, Chaoming Wu, Xianxi Ao, Zhoule Lv
article en
2 citations

Abstract

Walnut (<i>Juglans regia</i> L.) is a widely grown nut plant worldwide, including in Guizhou Province, located in southwest China. The high quality and special taste make Guizhou walnuts, particularly those produced in Hezhang County, a "Chinese National Geographical Indication Product" that substantially contributes to the local economy and grower's income. In July 2022, a serious occurrence of leaf spot disease was observed in a walnut plantation area, Shuitang Town, Hezhang County, Guizhou Province, China (27°07'67″N, 104°64'61″E). The causal agent was identified as <i>Didymella segeticola</i> through morphological characterization and amplification and sequencing of the internal transcribed spacer (ITS) region, beta-tubulin (<i>TUB</i>) gene, and glyceraldehyde-3-phosphate dehydrogenase (<i>G3PD</i>) gene. Koch's postulates, including re-isolation and identification, were performed to confirm its pathogenicity on healthy leaves. To our knowledge, this is the first report of <i>D. segeticola</i> causing leaf spot on walnuts worldwide. Further, to determine its biological characteristics, which could be utilized for future disease management, the effects of temperature, light, and carbon and nitrogen resources on mycelial growth, conidia production, and conidia germination and the effects of humidity on conidia germination were studied. The optimum temperature for mycelial growth of representative strain <i>D. segeticola</i> C27 was 20°C. Increasing the light period significantly decreased conidia production and conidia germination. Maltose and beef extract were the best carbon and nitrogen sources, respectively, for the pathogen. Conidia germination was enhanced at 90% humidity. <i>In vitro</i> screening of effective fungicides was conducted. Among the 20 screened fungicides, difenoconazole showed the best inhibition rate, with an EC<sub>50</sub> (concentration for 50% of the maximal effect) of 0.0007 μg/mL. Tetramycin also showed sufficient inhibitory effects against <i>D. segeticola</i>, with an EC<sub>50</sub> value of 0.0009 μg/mL. Our study provides new insights into the causal agent of walnut leaf spot in Guizhou, China, as well as the first pathogen characteristics and promising candidate fungicides for its management.

Frontiers in MicrobiologyVol. 15
Guizhou University (CN), Guiyang University (CN)
Guiyang University
Openalex Percentile: Top 32%
Plant Pathogens and Fungal Diseases
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.