2019
DOI: 10.1111/jph.12867
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Heuchera root rot, a new disease for Plectosphaerella cucumerina

Abstract: A Plectosphaerella sp. was isolated from an undescribed root rot of the herbaceous ornamental Heuchera sanguine (Coral Bells) in Massachusetts. Morphological examination and phylogenetic analysis using DNA sequences derived from internal transcribed spacer (ITS) of rDNA, large subunit (LSU) of rDNA, calmodulin (CaM), β-tubulin 2 (Tub) and transcription elongation factor 1 (Ef-1α) loci identified the fungus as a member of Plectosphaerella cucumerina. A test of Koch's postulates on an isolate of P. cucumerina in… Show more

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Cited by 6 publications
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“…For instance, certain members of bacterial genera (e.g., Curtobacterium and Pseudomonas ) as well as fungal genera (e.g., Alternaria and Penicillium ) were identified as potential pathogens for pear and apple bark ( Arrigoni et al, 2018 ). Meanwhile, Nigrospora oryzae and Plectosphaerella cucumerina were also the core fungal microbiota of G. soja , which have the potential to cause leaf spot and root rot, respectively ( Chen et al, 2019 ; Elmer et al, 2020 ). Nevertheless, it should be mentioned that although the sequences of the core microbial ASVs were identified by clustering with the known sequences from NCBI GenBank in accordance with their phylogenetic relationships ( Figures 6A , B ), it is difficult to differentiate the taxa below genus level using 16S-based profiling.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, certain members of bacterial genera (e.g., Curtobacterium and Pseudomonas ) as well as fungal genera (e.g., Alternaria and Penicillium ) were identified as potential pathogens for pear and apple bark ( Arrigoni et al, 2018 ). Meanwhile, Nigrospora oryzae and Plectosphaerella cucumerina were also the core fungal microbiota of G. soja , which have the potential to cause leaf spot and root rot, respectively ( Chen et al, 2019 ; Elmer et al, 2020 ). Nevertheless, it should be mentioned that although the sequences of the core microbial ASVs were identified by clustering with the known sequences from NCBI GenBank in accordance with their phylogenetic relationships ( Figures 6A , B ), it is difficult to differentiate the taxa below genus level using 16S-based profiling.…”
Section: Discussionmentioning
confidence: 99%