Data · collection · 2026
Integrative taxonomy reveals three novel pathogens belonging to Coniella, Colletotrichum and Pestalotiopsis on Nekemias grossedentata in China
Listed in GBIF
Description
This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Shi-Qiang, Zhou, Xin-Tong, Mou, Xiao, Zhou, Shen-Xian, Deng, Qian, Deng, Jian-Xin, Luo, Hong, Chen, Qing-Hua, Liu, Hai-Feng, Zhang, Chao-Yang (2026): Integrative taxonomy reveals three novel pathogens belonging to Coniella, Colletotrichum and Pestalotiopsis on Nekemias grossedentata in China. MycoKeys 140: 49-77, DOI: 10.3897/mycokeys.140.200783
Abstract
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Nekemias grossedentata (syn. Ampelopsis grossedentata, vine tea) is an economically important medicinal plant in China, yet the diversity of foliar fungal pathogens remains poorly understood. In this study, three pathogenic fungi were isolated from symptomatic N. grossedentata leaves collected in Enshi Tujia and Miao Autonomous Prefecture, Hubei Province, China.
Their taxonomic status was determined using an integrative approach combining morphological characterisation, multi-locus phylogenetic analysis, coalescent species delimitation and SNP-based PCA (SNPs extracted from concatenated multi-locus sequences). The pathogenicity was confirmed by fulfilling Koch’s postulates. Three novel species are formally described herein: Coniella ampelopsidis, Colletotrichum enshiense and Pestalotiopsis ampelopsidis.
All analyses consistently resolved the three species as independent taxa with highly-supported evolutionary lineages, distinct genetic clustering and significant nucleotide divergence. This study also enriches the inventory of foliar fungal pathogens infecting Nekemias grossedentata and provides a basis for integrated disease management.
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Where it is published
- GBIF dataset page gbif.org/dataset/a29d54b1-4810-476a-9b7e-fc7515bd7711 ↗
landing page · from gbif
- DOI doi.org/10.15468/nn3qar ↗
DOI / persistent id · from gbif
Documentation and papers
- Publisher page tb.plazi.org/GgServer/summary/EF71080325785AA38E74A5E794C79048 ↗
documentation · from gbif
Catalogue records · 1
- GBIF API api.gbif.org/v1/dataset/a29d54b1-4810-476a-9b7e-fc7515bd7711 ↗
metadata API · from gbif
Topics
- From keywords
- Life Sciences · Linguistic structures
- Inferred from text
- Disease 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| GBIF | a29d54b1-4810-476a-9b7e-fc7515bd7711 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · gbif | connector:gbif@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · gbif | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · gbif | connector:gbif@1.0.0 | |
| created_date | source · gbif | connector:gbif@1.0.0 | |
| description | source · gbif | connector:gbif@1.0.0 | /description |
| license | source · gbif | connector:gbif@1.0.0 | |
| publication_date | source · gbif | connector:gbif@1.0.0 | |
| title | source · gbif | connector:gbif@1.0.0 | /title |
| updated_date | source · gbif | connector:gbif@1.0.0 |