ArticleScientific data2023
Genome sequence and annotation of Periconia digitata a hopeful biocontrol agent of phytopathogenic oomycetes.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Fungal and Bacterial Communities Associated with Northern Corn Leaf Blight in Resistant and Susceptible Sweet Corn.The plant pathology journal · 2025Article
- Air pressure as a driver of plant-specific microbial responses in the rhizosphere.Environmental microbiome · 2025Article
- Ten quick tips for ensuring machine learning model validity.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Periconia fungal genus belongs to the phylum Ascomycota, order Pleosporales, family Periconiaceae. Periconia are found in many habitats, but little is known about their ecology. Several species from this genus produce bioactive molecules. Periconia digitata extracts were shown to be deadly active against the pine wilt nematode. Furthermore, P. digitata was shown to inhibit the plant pathogenic oomycete Phytophthora parasitica. Because P. digitata has great potential as a biocontrol agent and high quality genomic resources are still lacking in the Periconiaceae family, we generated long-read genomic data for P. digitata. Using PacBio Hifi sequencing technology, we obtained a highly-contiguous genome assembled in 13 chromosomes and totaling ca. 39 Mb. In addition, we produced a reference transcriptome, based on 12 different culture conditions, and proteomic data to support the genome annotation. Besides representing a new reference genome within the Periconiaceae, this work will contribute to our better understanding of the Eukaryotic tree of life and opens new possibilities in terms of biotechnological applications.
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Registered trials
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