Consortium for Advanced Sorghum Phenomics (CASP)
EMSL Project ID
50098
Abstract
The mission of the proposed project is to accelerate breeding of biomass sorghum to maximize terminal compositional (e.g., lignocellulosic) yield under drought and saline field conditions using novel tools for high-throughput and molecular phenotyping in field-based and greenhouse (GH) conditions, together with genotyping, association mapping, and trait-prediction modeling. We will employ an unprecedented combination of innovative technologies for field and GH phenotyping, and computational modeling, to arrive at early phenotypic trait associations and molecular biomarkers with high predictive power for drought/saline tolerance and biomass yield at maturity. Large collections of sorghum germplasm, including an Association Panel (AP) selected from an initial germplasm collection of a 1,400+ diverse population, and an EMS-mutagenized library (Mutation Panel, MP up to 3,000 pools) of sorghum inbred line BTx623, generated by Plant Stress and Germplasm Development Research group at USDA/ARS Lubbock center, will be planted at multiple locations in CA, TX and Puerto Rico. Drought and saline nurseries will be established in CA. Genotyping of the initial germplasm collection (not including the MP populations) will follow a genotyping by sequencing approach and the data will be used to select the AP and, after the panel has been phenotyped, will be used for the genome-wide association studies (GWAS). Based on the phenotyping results, a subset of lines will be selected for resequencing, RNA-Seq and molecular phenotyping. MP populations will be used to identify critical genes that are involved in drought tolerance through forward genetics.
Project Details
Start Date
2017-10-30
End Date
2018-09-30
Status
Closed
Released Data Link
Team
Principal Investigator
Co-Investigator(s)
Team Members
Related Publications
Rivas-Ubach A., Y. Liu, T.S. Bianchi, N. Tolic, G.C. Jansson, and L. Pasa Tolic. 2018. "Moving beyond the van Krevelen diagram: A new stoichiometric approach for compound classification 1 in organisms." Analytical Chemistry. PNNL-SA-134250.
Rivas-Ubach A., Y. Liu, T.S. Bianchi, N. Tolic, G.C. Jansson, and L. Pasa Tolic. 2018. "Moving beyond the van Krevelen diagram: A new stoichiometric approach for compound classification in organisms." Analytical Chemistry 90, no. 10:6152-6160. PNNL-SA-134250. doi:10.1021/acs.analchem.8b00529