Understanding a Natural Disease Tolerance Phenomenon Using a Metabolic Modeling-B

Understanding a Natural Disease Tolerance Phenomenon Using a Metabolic Modeling-B

Authors
James Borneman
Discipline
Agriculture, forestry, and fisheries
Funder
United States Department of Agriculture
Field
Agricultural and veterinary sciences
Organization
University of California, Riverside
Location
United States
Description
This DMP aims to collect both non-digital and digital data. The specific forms of data are hand-written observations, images, videos, nucleotide and protein sequences, genome sequences, genome annotations, metabolic models, metabolomics and transcriptomics data, as well as genetic and phenotypic data. This data will be used in the aim to create citrus trees that are resistant or tolerant to Huanglongbing (HLB) disease, and/or to create effective treatments.
Date Last Modified
2024
Keywords
Huanglongbing
disease
citrus
seed
tree
metabolic
agriculture