Optimization and analysis of the seed viability monitoring for seven crop species to inhibit fungal infection

The conservation of crop germplasm resources in Genebanks relies on accurate seed viability monitoring to maintain high viability levels. However, some seeds are susceptible to fungal infections during the germination process, which can affect the morphological development of the radicle and shoot. This leads to a reduced germination rate or vitality index, complicating the accurate assessment of seed viability. In this study, we examined seven crop seeds that are highly susceptible to fungal infection, which were identified during viability monitoring in Genebanks: faba bean, pea, soybean, maize, sunflower, peanut, and sorghum. High-throughput sequencing technology was employed to identify and classify fungi, revealing that genera such as <i>Alternaria</i>, <i>Cladosporium</i>, <i>Fusarium,</i> and others were highly abundant in the seeds. These fungi could produce toxins that may inhibit seedling growth. Sanger sequencing further confirmed that <i>Fusarium</i> is a widely prevalent pathogenic genus across all seven crops. Based on these findings, we optimized the following germination protocols for each crop to mitigate fungal affection: faba bean, pea, sunflower, and sorghum seeds treated with 10% NaClO for 35 min; peanut and maize seeds treated with 6% NaClO for 25 min; soybean seeds treated with 8% NaClO for 15 min; followed by cultivation on 7 g/L agar media. The optimal germination protocol can effectively inhibit the negative effects of fungal infections on seed germination. This study provides technical support for improving the accuracy of seed viability monitoring in Genebanks.

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Publication Details

Journal
Seed Biology
Published
2025-01-01
DOI
https://doi.org/10.48130/seedbio-0025-0004
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimization and analysis of the seed viability monitoring for seven crop species to inhibit fungal infection

Hui Deng, Xinyue Xu, Chongyang Cheng, Yingmin Wang et al.
Seed Biology
Plant Pathogens and Fungal Diseases
article

Optimization and analysis of the seed viability monitoring for seven crop species to inhibit fungal infection

Hui Deng, Xinyue Xu, Chongyang Cheng, Yingmin Wang, Jinmei Zhang, Zhijun Deng, Yang Li, Guangkun Yin, Xia Xin
article en

Abstract

The conservation of crop germplasm resources in Genebanks relies on accurate seed viability monitoring to maintain high viability levels. However, some seeds are susceptible to fungal infections during the germination process, which can affect the morphological development of the radicle and shoot. This leads to a reduced germination rate or vitality index, complicating the accurate assessment of seed viability. In this study, we examined seven crop seeds that are highly susceptible to fungal infection, which were identified during viability monitoring in Genebanks: faba bean, pea, soybean, maize, sunflower, peanut, and sorghum. High-throughput sequencing technology was employed to identify and classify fungi, revealing that genera such as <i>Alternaria</i>, <i>Cladosporium</i>, <i>Fusarium,</i> and others were highly abundant in the seeds. These fungi could produce toxins that may inhibit seedling growth. Sanger sequencing further confirmed that <i>Fusarium</i> is a widely prevalent pathogenic genus across all seven crops. Based on these findings, we optimized the following germination protocols for each crop to mitigate fungal affection: faba bean, pea, sunflower, and sorghum seeds treated with 10% NaClO for 35 min; peanut and maize seeds treated with 6% NaClO for 25 min; soybean seeds treated with 8% NaClO for 15 min; followed by cultivation on 7 g/L agar media. The optimal germination protocol can effectively inhibit the negative effects of fungal infections on seed germination. This study provides technical support for improving the accuracy of seed viability monitoring in Genebanks.

Seed BiologyVol. 4(1)
Minzu University of China (CN), Institute of Agricultural Resources and Regional Planning (CN), Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Institute of Crop Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Agricultural Sciences, Agricultural Science and Technology Innovation Program
Zero hunger
Openalex Percentile: Top 94%
Plant Pathogens and Fungal Diseases
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