The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Genetic manipulation of lignin reduces recalcitrance and improves ethanol production from switchgrass
Open accessAbstract
Switchgrass is a leading dedicated bioenergy feedstock in the United States because it is a native, high-yielding, perennial prairie grass with a broad cultivation range and low agronomic input requirements. Biomass conversion research has developed processes for production of ethanol and other biofuels, but they remain costly primarily because of the intrinsic recalcitrance of biomass. We show here that genetic modification of switchgrass can produce phenotypically normal plants that have reduced thermal-chemical (≤180 °C), enzymatic, and microbial recalcitrance. Down-regulation of the switchgrass caffeic acid O -methyltransferase gene decreases lignin content modestly, reduces the syringyl:guaiacyl lignin monomer ratio, improves forage quality, and, most importantly, increases the ethanol yield by up to 38% using conventional biomass fermentation processes. The down-regulated lines require less severe pretreatment and 300–400% lower cellulase dosages for equivalent product yields using simultaneous saccharification and fermentation with yeast. Furthermore, fermentation of diluted acid-pretreated transgenic switchgrass using Clostridium thermocellum with no added enzymes showed better product yields than obtained with unmodified switchgrass. Therefore, this apparent reduction in the recalcitrance of transgenic switchgrass has the potential to lower processing costs for biomass fermentation-derived fuels and chemicals significantly. Alternatively, such modified transgenic switchgrass lines should yield significantly more fermentation chemicals per hectare under identical process conditions.
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Cites
Features of promising technologies for pretreatment of lignocellulosic biomass
MOSIER, N. (2005) · Bioresource Technology · doi:10.1016/j.biortech.2004.06.025 · Cited by 6,251
Wingren, A., Galbe, M., & Zacchi, G. (2008) · Biotechnology Progress · doi:10.1021/bp0340180 · Cited by 675
Describing and Quantifying Growth Stages of Perennial Forage Grasses
Moore, K. J., Moser, L. E., Vogel, K. P., Waller, S. S., Johnson, B. E., & Pedersen, J. F. (1991) · Agronomy Journal · doi:10.2134/agronj1991.00021962008300060027x · Cited by 545
Dien, B. S., Jung, H.-J. G., Vogel, K. P., Casler, M. D., Lamb, J. F. S., Iten, L., Mitchell, R. B., & Sarath, G. (2006) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2006.02.004 · Cited by 491
Ethanol production from biomass: technology and commercialization status
Mielenz, J. R. (2001) · Current Opinion in Microbiology · doi:10.1016/s1369-5274(00)00211-3 · Cited by 440
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Cited by
Wood-Derived Materials for Green Electronics, Biological Devices, and Energy Applications
Zhu, H., Luo, W., Ciesielski, P. N., Fang, Z., Zhu, J. Y., Henriksson, G., Himmel, M. E., & Hu, L. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00225 · Cited by 1,532
Pu, Y., Hu, F., Huang, F., Davison, B. H., & Ragauskas, A. J. (2013) · Biotechnology for Biofuels · doi:10.1186/1754-6834-6-15 · Cited by 608
Self-citationCharacterization and analysis of the molecular weight of lignin for biorefining studies
Tolbert, A., Akinosho, H., Khunsupat, R., Naskar, A. K., & Ragauskas, A. J. (2014) · Biofuels, Bioproducts and Biorefining · doi:10.1002/bbb.1500 · Cited by 504
Self-citationSturgeon, M. R., Kim, S., Lawrence, K., Paton, R. S., Chmely, S. C., Nimlos, M., Foust, T. D., & Beckham, G. T. (2014) · ACS Sustainable Chemistry & Engineering · doi:10.1021/sc400384w · Cited by 414
Yuan, Y., Jiang, B., Chen, H., Wu, W., Wu, S., Jin, Y., & Xiao, H. (2021) · Biotechnology for Biofuels · doi:10.1186/s13068-021-02054-1 · Cited by 344
Metadata
- Authors
- Fu, C., Mielenz, J. R., Xiao, X., Ge, Y., Hamilton, C. Y., Rodriguez, M., Chen, F., Foston, M., Ragauskas, A., Bouton, J., Dixon, R. A., & Wang, Z.-Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2011-02-14
- Volume
- 108
- Issue
- 9
- Pages
- 3803-3808
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2035632664
- Cited by
- 656
- References
- 5
- FWCI
- 40.11
- Type
- journal article
- Language
- en
- Open access
- green
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- Fu, C., Mielenz, J. R., Xiao, X., Ge, Y., Hamilton, C. Y., Rodriguez, M., Chen, F., Foston, M., Ragauskas, A., Bouton, J., Dixon, R. A., & Wang, Z.-Y. (2011). Genetic manipulation of lignin reduces recalcitrance and improves ethanol production from switchgrass. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1100310108
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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