Phylogeny and Fungal Community Structures of Helotiales Associated with Sclerotial Disease of Mulberry Fruits in China
文献类型: 外文期刊
第一作者: Zhu, Zhixian
作者: Zhu, Zhixian;Yu, Cui;Dong, Zhaoxia;Mo, Rongli;Zhang, Cheng;Liu, Xinxin;Li, Yong;Deng, Wen;Hu, Xingming;Zuo, Yuanyuan
作者机构:
关键词: fungal community; Illumina MiSeq sequencing; mulberry fruit sclerotiniose; phylogenetic analysis
期刊名称:PLANT DISEASE ( 影响因子:4.5; 五年影响因子:5.0 )
ISSN: 0191-2917
年卷期: 2024 年 108 卷 2 期
页码:
收录情况: SCI
摘要: Mulberry fruit sclerotiniose is a prevalent disease caused by the fungal species Ciboria shiraiana, C. carunculoides, and Scleromitrula shiraiana of the order Helotiales, and severely affects the production of mulberry. However, these species have only been identified using morphological and rDNA-ITS sequence analyses, and their genetic variation is unclear. To address this, morphological and two-locus (ITS and RPB2) phylogenetic analyses were conducted using culture-dependent and independent methods for 49 samples from 31 orchards across four provinces in China. Illumina MiSeq sequencing was used to assess the fungal communities obtained from fruits varying in disease severity and color from an orchard in Wuhan. Conidial suspensions of C. shiraiana and C. carunculoides isolated from diseased fruits, diseased fruits affected with hypertrophy and pellet sorosis sclerotiniose, and mycelia of Sclerotinia sclerotiorum were determined to be pathogenic to the mulberry cultivar YSD10. However, fruits inoculated with S. sclerotiorum mycelia exhibited nontypical disease symptoms, and mycelia and conidia obtained from C. carunculoides and S. shiraiana strains were not pathogenic. Maximum parsimony and Bayesian analyses using the sequences of the assessed loci indicated species variability with no evidence of geographic specialization. Metagenomic analysis revealed that the diversity of fungal communities was reduced with disease progression. Furthermore, within a single fruit, the presence of two Ciboria spp. was detected. These results provide novel insights into Ciboria spp., revealing the secondary infections caused by conidia in diseased fruits, genetic variations of the pathogens, and the occurrence of coinfection. This improved understanding of fungal pathogens will aid in developing effective disease control strategies.
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