Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass
Abstract
Natural genetic variation for reduced recalcitrance can be used to improve switchgrass for biofuel production. A full-sib switchgrass mapping population developed by crossing a lowland genotype, AP13, and upland genotype, VS16, was evaluated at three locations (Ardmore and Burneyville, OK and Watkinsville, GA). Biomass harvested after senescence in 2009 and 2010 was evaluated at the National Renewable Energy Laboratory (NREL) for sugar release using enzymatic hydrolysis and for lignin content and syringyl/guaiacyl lignin monomer (S/G) ratio using pyrolysis molecular beam mass spectrometry (py-MBMS). Glucose and xylose release ranged from 120 to 313 and 123 to 263 mg g-1, respectively, while lignin content ranged from 19 to 27% of the dry biomass. Statistically significant differences were observed among the genotypes and the environments for the cell wall composition traits. Regression analysis showed that a unit increase in lignin content reduced total sugar release by an average of 10 mg g-1. Quantitative trait loci (QTL) analysis detected 9 genomic regions underlying sugar release and 14 for lignin content. The phenotypic variation explained by the individual QTL identified for sugar release ranged from 4.5 to 9.4 and for lignin content from 3.8 to 11.1%. Mapping of the QTL regions to the switchgrass genomemore »
- Authors:
-
- Samuel Roberts Noble Foundation, Ardmore, OK (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC); Kansas State Univ., Manhattan, KS (United States). Agricultural Research Center-Hays
- National Renewable Energy Lab. (NREL), Golden, CO (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC)
- Univ. of Georgia, Athens, GA (United States). Inst. of Plant Breeding, Genetics and Genomics, and Dept. of Crop and Soil Sciences; Univ. of Georgia, Athens, GA (United States). Dept. of Plant Biology; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC); Univ. of California, Davis, CA (United States). Dept. of Plant Sciences
- Samuel Roberts Noble Foundation, Ardmore, OK (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). BioEnergy Science Center (BESC)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1293804
- Report Number(s):
- NREL/JA-5100-66447
Journal ID: ISSN 1939-1234
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- BioEnergy Research
- Additional Journal Information:
- Journal Volume: 9; Journal Issue: 3; Journal ID: ISSN 1939-1234
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; lignin content; quantitative trait loci; sugar release; glucose; xylose; recalcitrant
Citation Formats
Serba, Desalegn D., Sykes, Robert W., Gjersing, Erica L., Decker, Stephen R., Daverdin, Guillaume, Devos, Katrien M., Brummer, E. Charles, and Saha, Malay C. Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass. United States: N. p., 2016.
Web. doi:10.1007/s12155-016-9733-3.
Serba, Desalegn D., Sykes, Robert W., Gjersing, Erica L., Decker, Stephen R., Daverdin, Guillaume, Devos, Katrien M., Brummer, E. Charles, & Saha, Malay C. Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass. United States. https://doi.org/10.1007/s12155-016-9733-3
Serba, Desalegn D., Sykes, Robert W., Gjersing, Erica L., Decker, Stephen R., Daverdin, Guillaume, Devos, Katrien M., Brummer, E. Charles, and Saha, Malay C. 2016.
"Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass". United States. https://doi.org/10.1007/s12155-016-9733-3. https://www.osti.gov/servlets/purl/1293804.
@article{osti_1293804,
title = {Cell Wall Composition and Underlying QTL in an F1 Pseudo-Testcross Population of Switchgrass},
author = {Serba, Desalegn D. and Sykes, Robert W. and Gjersing, Erica L. and Decker, Stephen R. and Daverdin, Guillaume and Devos, Katrien M. and Brummer, E. Charles and Saha, Malay C.},
abstractNote = {Natural genetic variation for reduced recalcitrance can be used to improve switchgrass for biofuel production. A full-sib switchgrass mapping population developed by crossing a lowland genotype, AP13, and upland genotype, VS16, was evaluated at three locations (Ardmore and Burneyville, OK and Watkinsville, GA). Biomass harvested after senescence in 2009 and 2010 was evaluated at the National Renewable Energy Laboratory (NREL) for sugar release using enzymatic hydrolysis and for lignin content and syringyl/guaiacyl lignin monomer (S/G) ratio using pyrolysis molecular beam mass spectrometry (py-MBMS). Glucose and xylose release ranged from 120 to 313 and 123 to 263 mg g-1, respectively, while lignin content ranged from 19 to 27% of the dry biomass. Statistically significant differences were observed among the genotypes and the environments for the cell wall composition traits. Regression analysis showed that a unit increase in lignin content reduced total sugar release by an average of 10 mg g-1. Quantitative trait loci (QTL) analysis detected 9 genomic regions underlying sugar release and 14 for lignin content. The phenotypic variation explained by the individual QTL identified for sugar release ranged from 4.5 to 9.4 and for lignin content from 3.8 to 11.1%. Mapping of the QTL regions to the switchgrass genome sequence (v1.1) found that some of the QTL colocalized with genes involved in carbohydrate processing and metabolism, plant development, defense systems, and transcription factors. Finally, the markers associated with QTL can be implemented in breeding programs to efficiently develop improved switchgrass cultivars for biofuel production.},
doi = {10.1007/s12155-016-9733-3},
url = {https://www.osti.gov/biblio/1293804},
journal = {BioEnergy Research},
issn = {1939-1234},
number = 3,
volume = 9,
place = {United States},
year = {Sat Apr 23 00:00:00 EDT 2016},
month = {Sat Apr 23 00:00:00 EDT 2016}
}
Web of Science
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