Sample and analyze the worldwide spectrum of genetic diversity in Andropogoneae to develop detailed models testing whether (1) quantitative estimates of evolutionary constraint improve predictions of fitness-related traits, and (2) convergent environmental adaptations shared across the Andropogoneae explain a substantial proportion of total adaptive variance
| Accession | PRJNA919033 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Publications | - Published online: Schulz A et al., "Fishing for a reelGene: evaluating gene models with evolution and machine learning", bioRxiv, 2023;
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| Grants | - "PanAnd - Harnessing convergence and constraint to predict adaptations to abiotic stress for maize and sorghum" (Grant ID 1822330, National Science Foundation)
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| Submission | Registration date: 6-Jan-2023
Cornell |
| Related Resources | |
| Relevance | Agricultural |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 59 |
| Other datasets |
| BioSample | 59 |