Data from: Genome analyses of fungal pathogens Neonectria faginata and Neonectria coccinea

dataset

posted on 2023-12-19, 14:31 authored by Catalina Salgado-Salazar, Demetra Skaltsas, Tunesha Phipps, Lisa Castlebury

Protein predictions using Augustus web for the fungi Neonectria coccinea and N. faginata, as well as protein prediction of closely related species N. ditissima, and Corinectria fuckeliana. <div> Resources in this dataset:</div> <ul><li>Resource Title: Protein prediction dataset for Neonectria faginata isolate A.R. 4307. File Name: AR4307_augustusRev.fastaResource Description: Protein prediction dataset</li> <li>Resource Title: Protein prediction data set for Neonectria ditissima isolate CBS 226.31. File Name: CBS22631_augustus.fastaResource Description: Protein prediction data set</li> <li>Resource Title: Protein prediction file for Neonectria coccinea isolate CBS 119158. File Name: CBS119158_augustus.fastaResource Description: Protein prediction file</li> <li>Resource Title: Protein prediction file of Corinectria fuckeliana isolate CBS 125109. File Name: CBS125109_augustus.fastaResource Description: Protein prediction file</li></ul>

Funding

USDA-ARS: 8042-22000-298-00D

History

Related Materials

1.
DOI - Is supplement to Salgado-Salazar, C., Skaltsas, D. N., Phipps, T., & Castlebury, L. A. (2021). Comparative genome analyses suggest a hemibiotrophic lifestyle and virulence differences for the beech bark disease fungal pathogens Neonectria faginata and Neonectria coccinea. G3 Genes, Genomes, Genetics, 11(4). https://doi.org/10.1093/g3journal/jkab071

Data contact name

Salgado-Salazar, Catalina

Data contact email

catalina.salgado@usda.gov

Publisher

Ag Data Commons

Intended use

Research only. The predicted proteome of fungi can be functionally annotated to determine molecular activities of gene products.

Use limitations

Research only.

Temporal Extent Start Date

2020-10-22

Theme

Not specified

Geographic Coverage

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Geographic location - description

USA: Maine, USA: New Hampshire, Germany, New Zealand

ISO Topic Category

biota
environment

Ag Data Commons Group

AgBioData

National Agricultural Library Thesaurus terms

fungi; pathogens; Neonectria; beech bark disease; mortality; forest stands; North America; Europe; disease control; genomics; genome assembly; proteome; proteins; mitogen-activated protein kinase; virulence; disease severity; polysaccharides; secondary metabolites; biosynthesis; cytochrome-c oxidase; mitochondrial genome; mitochondrial DNA; introns; Fagus grandifolia; Fagus sylvatica; forests; trophic relationships

OMB Bureau Code

005:18 - Agricultural Research Service

OMB Program Code

005:040 - National Research

ARS National Program Number

Pending citation

Public Access Level

Public

Preferred dataset citation

Salgado-Salazar, Catalina; Skaltsas, Demetra; Phipps, Tunesha; Castlebury, Lisa (2022). Data from: Genome analyses of fungal pathogens Neonectria faginata and Neonectria coccinea. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1527710