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Regulatory sequence diversity in the wheat genome

dataset
posted on 2024-06-11, 06:46 authored by Kansas State University
Allopolyploidy greatly expands the range of possible regulatory interactions among functionally redundant homoeologous genes. However, connection between the emerging regulatory complexity and expression and phenotypic diversity in polyploid crops remains elusive. We used diverse wheat accessions to map expression quantitative trait loci (eQTL) and evaluated their effects on the population-scale variation in homoeolog expression dosage. The genetic diversity in the wheat genome was characterized using combination of complexity reduced genome sequencing, array-based genotyping, transcriptome sequencing and targeted re-sequencing of promoter regions. To better understand the functional properties of variants associated with homoeolog expression variation, we investigated the distribution of cis- and trans-acting eQTL across genomic regions showing distinct epigenetic marks and chromatin architecture. Finally, summary-level eQTL and GWAS mapping data, and gene co-expression networks were analyzed jointly to investigate the role of variants linked with homoeologous gene regulation in shaping variation in major agronomic traits in wheat landraces and cultivars.

Funding

National Institute of Food and Agriculture, 2017-67007-25939

National Institute of Food and Agriculture, 2019-67013-29017

Bill and Melinda Gates Foundation, INV-004430

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2021-12-08

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA787276

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 PRJNA787276 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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