Quantitative trait loci for cell wall composition traits measured using near-infrared spectroscopy in the model C4 perennial grass Panicum hallii
Abstract
Biofuels derived from lignocellulosic plant material are an important component of current renewable energy strategies. Improvement efforts in biofuel feedstock crops have been primarily focused on increasing biomass yield with less consideration for tissue quality or composition. Four primary components found in the plant cell wall contribute to the overall quality of plant tissue and conversion characteristics, cellulose and hemicellulose polysaccharides are the primary targets for fuel conversion, while lignin and ash provide structure and defense. We explore the genetic architecture of tissue characteristics using a quantitative trait loci (QTL) mapping approach in Panicum hallii, a model lignocellulosic grass system. Diversity in the mapping population was generated by crossing xeric and mesic varietals, comparative to northern upland and southern lowland ecotypes in switchgrass. We use near-infrared spectroscopy with a primary analytical method to create a P. hallii specific calibration model to quickly quantify cell wall components.Ash, lignin, glucan, and xylan comprise 68% of total dry biomass in P. hallii: comparable to other feedstocks. We identified 14 QTL and one epistatic interaction across these four cell wall traits and found almost half of the QTL to localize to a single linkage group.Panicum hallii serves as the genomic model for its closemore »
- Authors:
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1618732
- Alternate Identifier(s):
- OSTI ID: 1424901; OSTI ID: 1616056
- Report Number(s):
- NREL/JA-2700-71057
Journal ID: ISSN 1754-6834; 25; PII: 1033
- Grant/Contract Number:
- SC0008451; AC02-05CH11231; AC36-08GO28308
- Resource Type:
- Published Article
- Journal Name:
- Biotechnology for Biofuels
- Additional Journal Information:
- Journal Name: Biotechnology for Biofuels Journal Volume: 11 Journal Issue: 1; Journal ID: ISSN 1754-6834
- Publisher:
- BioMed Central
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; Panicum hallii; cell wall composition; QTL; NIRS; lignocellulosic biomass; bioenergy feedstock
Citation Formats
Milano, Elizabeth R., Payne, Courtney E., Wolfrum, Ed, Lovell, John, Jenkins, Jerry, Schmutz, Jeremy, and Juenger, Thomas E. Quantitative trait loci for cell wall composition traits measured using near-infrared spectroscopy in the model C4 perennial grass Panicum hallii. Netherlands: N. p., 2018.
Web. doi:10.1186/s13068-018-1033-z.
Milano, Elizabeth R., Payne, Courtney E., Wolfrum, Ed, Lovell, John, Jenkins, Jerry, Schmutz, Jeremy, & Juenger, Thomas E. Quantitative trait loci for cell wall composition traits measured using near-infrared spectroscopy in the model C4 perennial grass Panicum hallii. Netherlands. https://doi.org/10.1186/s13068-018-1033-z
Milano, Elizabeth R., Payne, Courtney E., Wolfrum, Ed, Lovell, John, Jenkins, Jerry, Schmutz, Jeremy, and Juenger, Thomas E. Sat .
"Quantitative trait loci for cell wall composition traits measured using near-infrared spectroscopy in the model C4 perennial grass Panicum hallii". Netherlands. https://doi.org/10.1186/s13068-018-1033-z.
@article{osti_1618732,
title = {Quantitative trait loci for cell wall composition traits measured using near-infrared spectroscopy in the model C4 perennial grass Panicum hallii},
author = {Milano, Elizabeth R. and Payne, Courtney E. and Wolfrum, Ed and Lovell, John and Jenkins, Jerry and Schmutz, Jeremy and Juenger, Thomas E.},
abstractNote = {Biofuels derived from lignocellulosic plant material are an important component of current renewable energy strategies. Improvement efforts in biofuel feedstock crops have been primarily focused on increasing biomass yield with less consideration for tissue quality or composition. Four primary components found in the plant cell wall contribute to the overall quality of plant tissue and conversion characteristics, cellulose and hemicellulose polysaccharides are the primary targets for fuel conversion, while lignin and ash provide structure and defense. We explore the genetic architecture of tissue characteristics using a quantitative trait loci (QTL) mapping approach in Panicum hallii, a model lignocellulosic grass system. Diversity in the mapping population was generated by crossing xeric and mesic varietals, comparative to northern upland and southern lowland ecotypes in switchgrass. We use near-infrared spectroscopy with a primary analytical method to create a P. hallii specific calibration model to quickly quantify cell wall components.Ash, lignin, glucan, and xylan comprise 68% of total dry biomass in P. hallii: comparable to other feedstocks. We identified 14 QTL and one epistatic interaction across these four cell wall traits and found almost half of the QTL to localize to a single linkage group.Panicum hallii serves as the genomic model for its close relative and emerging biofuel crop, switchgrass (P. virgatum). We used high throughput phenotyping to map genomic regions that impact natural variation in leaf tissue composition. Understanding the genetic architecture of tissue traits in a tractable model grass system will lead to a better understanding of cell wall structure as well as provide genomic resources for bioenergy crop breeding programs.},
doi = {10.1186/s13068-018-1033-z},
journal = {Biotechnology for Biofuels},
number = 1,
volume = 11,
place = {Netherlands},
year = {Sat Feb 03 00:00:00 EST 2018},
month = {Sat Feb 03 00:00:00 EST 2018}
}
https://doi.org/10.1186/s13068-018-1033-z
Web of Science
Figures / Tables:
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