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 (<85% accuracy) were removed. 146 IBM RILs were validated as the correct RIL or parent, and samples that could not be validated or re-assigned with the correct name were labeled as "unknown cultivar".
| Accession | PRJNA860592 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Grants | - "Soybean Seed Improvement Through Quantitative Analysis of Phenotypic Diversity in Response to Environmental Fluctuations" (Grant ID 5070-21000-039-00D, USDA Agricultural Research Service)
- "Mineral Nutrient Gene Discovery and Gene X Environment Interactions Using the Nested Association Mapping Population in Maize" (Grant ID IOS-1126950, National Science Foundation)
- "EAGER: Predicting Drought Adaptation in C4 Plants with High Throughout Quantitative Phenotyping" (Grant ID IOS-1450341, National Science Foundation)
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| Submission | Registration date: 20-Jul-2022
Donald Danforth Plant Science Center |
| Relevance | Agricultural |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 224 |
| Other datasets |
| BioSample | 224 |