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Abiotic stress response and adaptive phenology in fruit trees.

dataset
posted on 2024-06-11, 06:15 authored by University of Tennessee Institute of Agriculture, Genewiz, MOgene
Due to the broad climate adaptation of perennial trees, phenological traits (e.g. chilling requirement-CR, bloom date-BD) exhibit complex inheritance patterns. Conceptually, these are adaptive responses to abiotic stress. As production depends on traits like CR, breeders have developed varieties that are phenotypically/genotypically matched to particular geographic/temperature zones. These genotypes are ideal for study of gene networks governing these climate-critical traits. Using genetic approaches, genome-wide association analyses, functional and comparative genomics in fruit and forest trees, we identified a foundational network of genetic activity (phenylpropanoid pathway) linking winter cold stress response to control of the endodormancy-ecodormancy transition (EET) and seed stratification. Our goal is to examine during endodormancy the allelic effects of genes controlling the production of stress related metabolic intermediates that regulate seed stratification, thus linking these two cold temperature responses. Our objective is to use a transcriptome sequencing approach to characterize genotypic effects on the phenylpropanoid gene network transcriptome during endodormancy and the EET. These adaptive genes and gene networks will be targets for knowledge based breeding strategies of fruit and forest trees to sustain and improve these resources to meet the challenges of rapid environmental change

Funding

U.S. Department of Agriculture, 1008660

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2019-09-19

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA567655

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 PRJNA567655 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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