Cargando…
An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China
Fusarium is one of the most important phytopathogenic and mycotoxigenic fungi that caused huge losses worldwide due to the decline of crop yield and quality. To systematically investigate the infections of Fusarium species in ear rot of maize in the Guizhou Province of China and analyze its populati...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964309/ https://www.ncbi.nlm.nih.gov/pubmed/35369506 http://dx.doi.org/10.3389/fmicb.2022.849698 |
_version_ | 1784678186393534464 |
---|---|
author | Shang, Guofu Li, Shuqin Yu, Huan Yang, Jie Li, Shimei Yu, Yanqin Wang, Jianman Wang, Yun Zeng, Zhu Zhang, Jingbo Hu, Zuquan |
author_facet | Shang, Guofu Li, Shuqin Yu, Huan Yang, Jie Li, Shimei Yu, Yanqin Wang, Jianman Wang, Yun Zeng, Zhu Zhang, Jingbo Hu, Zuquan |
author_sort | Shang, Guofu |
collection | PubMed |
description | Fusarium is one of the most important phytopathogenic and mycotoxigenic fungi that caused huge losses worldwide due to the decline of crop yield and quality. To systematically investigate the infections of Fusarium species in ear rot of maize in the Guizhou Province of China and analyze its population structure, 175 samples of rotted maize ears from 76 counties were tested by combining immunoassays and molecular identification. Immunoassay based on single-chain variable fragment (scFv) and alkaline phosphatase (AP) fusion protein was first employed to analyze these samples. Fusarium pathogens were isolated and purified from Fusarium-infected samples. Molecular identification was performed using the partial internal transcribed spacer (ITS) and translation elongation factor 1α (TEF-1α) sequences. Specific primers were used to detect toxigenic chemotypes, and verification was performed by liquid chromatography tandem mass spectrometry (LC–MS/MS). One-hundred and sixty three samples were characterized to be positive, and the infection rate was 93.14%. Sixteen species of Fusarium belonging to six species complexes were detected and Fusarium meridionale belonging to the Fusarium graminearum species complex (FGSC) was the dominant species. Polymerase chain reaction (PCR) identification illustrated that 69 isolates (56.10%) were potential mycotoxin-producing Fusarium pathogens. The key synthetic genes of NIV, NIV + ZEN, DON + ZEN, and FBs were detected in 3, 35, 7, and 24 isolates, respectively. A total of 86.11% of F. meridionale isolates carried both NIV- and ZEN-specific segments, while Fusarium verticillioides isolates mainly represented FBs chemotype. All the isolates carrying DON-producing fragments were FGSC. These results showed that there are different degrees of Fusarium infections in Guizhou Province and their species and toxigenic genotypes display regional distribution patterns. Therefore, scFv-AP fusion-based immunoassays could be conducted to efficiently investigate Fusarium infections and more attention and measures should be taken for mycotoxin contamination in this region. |
format | Online Article Text |
id | pubmed-8964309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89643092022-03-31 An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China Shang, Guofu Li, Shuqin Yu, Huan Yang, Jie Li, Shimei Yu, Yanqin Wang, Jianman Wang, Yun Zeng, Zhu Zhang, Jingbo Hu, Zuquan Front Microbiol Microbiology Fusarium is one of the most important phytopathogenic and mycotoxigenic fungi that caused huge losses worldwide due to the decline of crop yield and quality. To systematically investigate the infections of Fusarium species in ear rot of maize in the Guizhou Province of China and analyze its population structure, 175 samples of rotted maize ears from 76 counties were tested by combining immunoassays and molecular identification. Immunoassay based on single-chain variable fragment (scFv) and alkaline phosphatase (AP) fusion protein was first employed to analyze these samples. Fusarium pathogens were isolated and purified from Fusarium-infected samples. Molecular identification was performed using the partial internal transcribed spacer (ITS) and translation elongation factor 1α (TEF-1α) sequences. Specific primers were used to detect toxigenic chemotypes, and verification was performed by liquid chromatography tandem mass spectrometry (LC–MS/MS). One-hundred and sixty three samples were characterized to be positive, and the infection rate was 93.14%. Sixteen species of Fusarium belonging to six species complexes were detected and Fusarium meridionale belonging to the Fusarium graminearum species complex (FGSC) was the dominant species. Polymerase chain reaction (PCR) identification illustrated that 69 isolates (56.10%) were potential mycotoxin-producing Fusarium pathogens. The key synthetic genes of NIV, NIV + ZEN, DON + ZEN, and FBs were detected in 3, 35, 7, and 24 isolates, respectively. A total of 86.11% of F. meridionale isolates carried both NIV- and ZEN-specific segments, while Fusarium verticillioides isolates mainly represented FBs chemotype. All the isolates carrying DON-producing fragments were FGSC. These results showed that there are different degrees of Fusarium infections in Guizhou Province and their species and toxigenic genotypes display regional distribution patterns. Therefore, scFv-AP fusion-based immunoassays could be conducted to efficiently investigate Fusarium infections and more attention and measures should be taken for mycotoxin contamination in this region. Frontiers Media S.A. 2022-03-14 /pmc/articles/PMC8964309/ /pubmed/35369506 http://dx.doi.org/10.3389/fmicb.2022.849698 Text en Copyright © 2022 Shang, Li, Yu, Yang, Li, Yu, Wang, Wang, Zeng, Zhang and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Shang, Guofu Li, Shuqin Yu, Huan Yang, Jie Li, Shimei Yu, Yanqin Wang, Jianman Wang, Yun Zeng, Zhu Zhang, Jingbo Hu, Zuquan An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title | An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title_full | An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title_fullStr | An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title_full_unstemmed | An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title_short | An Efficient Strategy Combining Immunoassays and Molecular Identification for the Investigation of Fusarium Infections in Ear Rot of Maize in Guizhou Province, China |
title_sort | efficient strategy combining immunoassays and molecular identification for the investigation of fusarium infections in ear rot of maize in guizhou province, china |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964309/ https://www.ncbi.nlm.nih.gov/pubmed/35369506 http://dx.doi.org/10.3389/fmicb.2022.849698 |
work_keys_str_mv | AT shangguofu anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT lishuqin anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yuhuan anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yangjie anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT lishimei anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yuyanqin anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT wangjianman anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT wangyun anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT zengzhu anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT zhangjingbo anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT huzuquan anefficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT shangguofu efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT lishuqin efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yuhuan efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yangjie efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT lishimei efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT yuyanqin efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT wangjianman efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT wangyun efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT zengzhu efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT zhangjingbo efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina AT huzuquan efficientstrategycombiningimmunoassaysandmolecularidentificationfortheinvestigationoffusariuminfectionsinearrotofmaizeinguizhouprovincechina |