Effects of Paulownia witches’ broom disease on fungal endophytes community and structure
Journal Title: Journal of Henan Agricultural University - Year 2023, Vol 57, Issue 5
Abstract
[Objective] To investigate the effects of witches’ broom on fungal endophytes community structure in Paulownia. [Method] In this study, branch, leaf and root samples of Paulownia with and without witches’ broom were collected, and the effects of witches’ broom on fungal endophytes community structure and key fungal species of Paulownia were studied by high-throughput sequencing techniques combined with random forest machine learning methods. [Result] Phytoplasmas presented in the both branches and roots, but only the aboveground part showed the symptoms of witches’ broom. Both habitat (sampling site) and health status were important factors affecting the community structure of fungal endophytes in Paulownia. Arbuscular disease had limited effect on α diversity of endophytic fungal endophytes in the branches, leaves and roots of Paulowia, but significantly changed β diversity in the branches and leaves. Among the branches, leaves and roots of Paulownia, Ascomycota was the most abundant phylum, followed by Basidiomycota. Witches’ broom increased the abundance of Basidiomycota in branches and leaves, but decreased the abundance of Ascomycota. In the roots, witches’ broom decreased the abundance of Basidiomycota and increased the abundance of Ascomycota. Ten key fungal species were identified by random forest machine learning methods, among which Corynespora, Cladosporium and Nigrospora were all common pathogenic fungi, and their abundance in diseased branches or leaves was significantly higher than that in healthy samples. It is speculated that these pathogenic fungi might aggravate the incidence of witches’ broom. [Conclusion] In this study, the effects of witches’ broom on fungal endophytes community structure of Paulownia were clarified, which laid a theoretical foundation for the prevention and treatment of witches’ broom in Paulownia.
Authors and Affiliations
Jing HUANG, Xuanzhen LI, Guoqiang FAN
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