A Genomic Resource for the Development, Improvement, and Exploitation of Sorghum for Bioenergy
| Autor: | Bradley L. Rauh, Elizabeth A. Cooper, Mathew T Myers, Richard Boyles, William C. Bridges, Kelsey J. Zielinski, Nadia Shakoor, Geoffrey P. Morris, Stephen Kresovich, Zachary Brenton |
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| Rok vydání: | 2016 |
| Předmět: |
MPP
Genetic Markers 0106 biological sciences 0301 basic medicine Candidate gene Carbohydrates Investigations Poaceae 01 natural sciences 03 medical and health sciences Bioenergy Multi-parental Block Genetic variation Genetics nonstructural sugars biomass composition Sorghum Genetic diversity Models Genetic biology business.industry Computational genomics Chromosome Mapping Genetic Variation food and beverages Agriculture biology.organism_classification Genetic architecture Biotechnology Andropogon Plant Breeding Andropogoneae 030104 developmental biology Biofuels multiparental populations Bioenergy Association Panel carbon partitioning Multiparent Advanced Generation Inter-Cross (MAGIC) Edible Grain business Genome Plant Genome-Wide Association Study 010606 plant biology & botany |
| Zdroj: | Genetics |
| ISSN: | 1943-2631 |
| DOI: | 10.1534/genetics.115.183947 |
| Popis: | With high productivity and stress tolerance, numerous grass genera of the Andropogoneae have emerged as candidates for bioenergy production. To optimize these candidates, research examining the genetic architecture of yield, carbon partitioning, and composition is required to advance breeding objectives. Significant progress has been made developing genetic and genomic resources for Andropogoneae, and advances in comparative and computational genomics have enabled research examining the genetic basis of photosynthesis, carbon partitioning, composition, and sink strength. To provide a pivotal resource aimed at developing a comparative understanding of key bioenergy traits in the Andropogoneae, we have established and characterized an association panel of 390 racially, geographically, and phenotypically diverse Sorghum bicolor accessions with 232,303 genetic markers. Sorghum bicolor was selected because of its genomic simplicity, phenotypic diversity, significant genomic tools, and its agricultural productivity and resilience. We have demonstrated the value of sorghum as a functional model for candidate gene discovery for bioenergy Andropogoneae by performing genome-wide association analysis for two contrasting phenotypes representing key components of structural and non-structural carbohydrates. We identified potential genes, including a cellulase enzyme and a vacuolar transporter, associated with increased non-structural carbohydrates that could lead to bioenergy sorghum improvement. Although our analysis identified genes with potentially clear functions, other candidates did not have assigned functions, suggesting novel molecular mechanisms for carbon partitioning traits. These results, combined with our characterization of phenotypic and genetic diversity and the public accessibility of each accession and genomic data, demonstrate the value of this resource and provide a foundation for future improvement of sorghum and related grasses for bioenergy production. |
| Databáze: | OpenAIRE |
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