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Resequencing and association mapping of the generalist pathogen Botrytis cinerea

dataset
posted on 2024-06-11, 07:29 authored by University of California Davis
We performed whole genome resequencing of 84 field isolates of Botrytis cinerea, largely collected from a local set of plant species. Combined with 13 previously resequenced isolates sampled from diverse locations, this gave a collection of 97 isolates for studies of natural variation. Alignment to the reference sequence T4 and SNP detection provided further data for population genetics analysis including a mapping population for association studies. Although much of the genomic diversity was captured in the original 13 isolates, the additional genomes increased total diversity in the population by a third. Surprisingly, the same additional genomes increase mitochondrial diversity 2-fold. Across the population, LD was limited and decayed rapidly, reflecting frequent outcrossings. Effectively, this sampling strategy increased the level of genetic diversity available, whilst limiting the problem of population stratification and enabling GWAS of several phenotypes on common Arabidopsis plants affected in disease pathways. Overlap of results using all GWAS methods revealed numerous candidate genes / pathways that potentially contribute to its broad host range and offer conceivable pathogen decrease targets.

Funding

U.S. Department of Agriculture, CA-D-PLS-7033-H

Danish National Research Foundation, DNRF99

National Science Foundation, IOS 1339125

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2019-03-06

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genomics; sequence analysis; genome assembly

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA525902

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA525902 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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