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Expression analysis in IBM maize roots

dataset
posted on 2024-06-11, 06:54 authored by Donald Danforth Plant Science Center
Roots of young plants undergo highly regulated gene expression changes that pattern root architecture and physiology, with lifelong effects on the structural integrity, water-use efficiency, and nutrient flow of the plant. To understand gene regulatory networks in maize roots, we measured transcript levels in two-week-old roots of 218 greenhouse-grown lines belonging to the maize Intermated B73 x Mo17 (IBM) recombinant inbred population. After performing quality control on the root RNA-seq data, we retained an average of 19.6 million reads per sample. Sample identity was verified by calling SNPs on the RNA-seq data to compare with SNPs used in previous work with this population (Asaro et al. 2016). Samples were considered validated if the new SNPs matched previous SNPs with an accuracy above 90% once low accuracy SNPs (

Funding

Agricultural Research Service, 5070-21000-039-00D

National Science Foundation, IOS-1126950

National Science Foundation, IOS-1450341

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2022-07-20

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA860592

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 PRJNA860592 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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