Cargando…

Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing

Continuous rain and an abnormally wet climate during harvest can easily lead to soybean plants being damaged by field mold (FM), which can reduce seed yield and quality. However, to date, the underlying pathogen and its resistance mechanism have remained unclear. The objective of the present study w...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Jiang, Deng, Jun-cai, Yang, Cai-qiong, Huang, Ni, Chang, Xiao-li, Zhang, Jing, Yang, Feng, Liu, Wei-guo, Wang, Xiao-chun, Yong, Tai-wen, Du, Jun-bo, Shu, Kai, Yang, Wen-yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413577/
https://www.ncbi.nlm.nih.gov/pubmed/28515718
http://dx.doi.org/10.3389/fmicb.2017.00779
_version_ 1783233206007365632
author Liu, Jiang
Deng, Jun-cai
Yang, Cai-qiong
Huang, Ni
Chang, Xiao-li
Zhang, Jing
Yang, Feng
Liu, Wei-guo
Wang, Xiao-chun
Yong, Tai-wen
Du, Jun-bo
Shu, Kai
Yang, Wen-yu
author_facet Liu, Jiang
Deng, Jun-cai
Yang, Cai-qiong
Huang, Ni
Chang, Xiao-li
Zhang, Jing
Yang, Feng
Liu, Wei-guo
Wang, Xiao-chun
Yong, Tai-wen
Du, Jun-bo
Shu, Kai
Yang, Wen-yu
author_sort Liu, Jiang
collection PubMed
description Continuous rain and an abnormally wet climate during harvest can easily lead to soybean plants being damaged by field mold (FM), which can reduce seed yield and quality. However, to date, the underlying pathogen and its resistance mechanism have remained unclear. The objective of the present study was to investigate the fungal diversity of various soybean varieties and to identify and confirm the FM pathogenic fungi. A total of 62,382 fungal ITS1 sequences clustered into 164 operational taxonomic units (OTUs) with 97% sequence similarity; 69 taxa were recovered from the samples by internal transcribed spacer (ITS) region sequencing. The fungal community compositions differed among the tested soybeans, with 42 OTUs being amplified from all varieties. The quadratic relationships between fungal diversity and organ-specific mildew indexes were analyzed, confirming that mildew on soybean pods can mitigate FM damage to the seeds. In addition, four potentially pathogenic fungi were isolated from FM-damaged soybean fruits; morphological and molecular identification confirmed these fungi as Aspergillus flavus, A. niger, Fusarium moniliforme, and Penicillium chrysogenum. Further re-inoculation experiments demonstrated that F. moniliforme is dominant among these FM pathogenic fungi. These results lay the foundation for future studies on mitigating or preventing FM damage to soybean.
format Online
Article
Text
id pubmed-5413577
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-54135772017-05-17 Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing Liu, Jiang Deng, Jun-cai Yang, Cai-qiong Huang, Ni Chang, Xiao-li Zhang, Jing Yang, Feng Liu, Wei-guo Wang, Xiao-chun Yong, Tai-wen Du, Jun-bo Shu, Kai Yang, Wen-yu Front Microbiol Microbiology Continuous rain and an abnormally wet climate during harvest can easily lead to soybean plants being damaged by field mold (FM), which can reduce seed yield and quality. However, to date, the underlying pathogen and its resistance mechanism have remained unclear. The objective of the present study was to investigate the fungal diversity of various soybean varieties and to identify and confirm the FM pathogenic fungi. A total of 62,382 fungal ITS1 sequences clustered into 164 operational taxonomic units (OTUs) with 97% sequence similarity; 69 taxa were recovered from the samples by internal transcribed spacer (ITS) region sequencing. The fungal community compositions differed among the tested soybeans, with 42 OTUs being amplified from all varieties. The quadratic relationships between fungal diversity and organ-specific mildew indexes were analyzed, confirming that mildew on soybean pods can mitigate FM damage to the seeds. In addition, four potentially pathogenic fungi were isolated from FM-damaged soybean fruits; morphological and molecular identification confirmed these fungi as Aspergillus flavus, A. niger, Fusarium moniliforme, and Penicillium chrysogenum. Further re-inoculation experiments demonstrated that F. moniliforme is dominant among these FM pathogenic fungi. These results lay the foundation for future studies on mitigating or preventing FM damage to soybean. Frontiers Media S.A. 2017-05-03 /pmc/articles/PMC5413577/ /pubmed/28515718 http://dx.doi.org/10.3389/fmicb.2017.00779 Text en Copyright © 2017 Liu, Deng, Yang, Huang, Chang, Zhang, Yang, Liu, Wang, Yong, Du, Shu and Yang. http://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) or licensor 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
Liu, Jiang
Deng, Jun-cai
Yang, Cai-qiong
Huang, Ni
Chang, Xiao-li
Zhang, Jing
Yang, Feng
Liu, Wei-guo
Wang, Xiao-chun
Yong, Tai-wen
Du, Jun-bo
Shu, Kai
Yang, Wen-yu
Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title_full Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title_fullStr Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title_full_unstemmed Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title_short Fungal Diversity in Field Mold-Damaged Soybean Fruits and Pathogenicity Identification Based on High-Throughput rDNA Sequencing
title_sort fungal diversity in field mold-damaged soybean fruits and pathogenicity identification based on high-throughput rdna sequencing
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413577/
https://www.ncbi.nlm.nih.gov/pubmed/28515718
http://dx.doi.org/10.3389/fmicb.2017.00779
work_keys_str_mv AT liujiang fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT dengjuncai fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT yangcaiqiong fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT huangni fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT changxiaoli fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT zhangjing fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT yangfeng fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT liuweiguo fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT wangxiaochun fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT yongtaiwen fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT dujunbo fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT shukai fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing
AT yangwenyu fungaldiversityinfieldmolddamagedsoybeanfruitsandpathogenicityidentificationbasedonhighthroughputrdnasequencing