Abstract:The DOE BioEnergy Science Center has operated as a virtual center with multiple partners for a decade targeting overcoming biomass recalcitrance. BESC has redefined biomass recalcitrance from an observable phenotype to a better understood and manipulatable fundamental and operational property. These manipulations are the result of deeper biological understanding and can be combined with other advanced biotechnology improvements in biomass conversion to improve bioenergy processes and markets. This article prov… Show more
“…The identification of the function of key genes for economic phenotypes allows either targeted genetic engineering or improved breeding by genomic selection 3 . High‐throughput pipelines have been developed that allow production of modified biomass targeting individual genes related to plant cell‐wall chemistry and anatomy 4,5 . These phenotypes require detailed analysis to determine which changes can be optimized for economically advantageous feedstock production.…”
Section: Introductionmentioning
confidence: 99%
“…3 High-throughput pipelines have been developed that allow production of modified biomass targeting individual genes related to plant cell-wall chemistry and anatomy. 4,5 These phenotypes require detailed analysis to determine which changes can be optimized for economically advantageous feedstock production. Cell-wall composition can be obtained through traditional wet chemistry methods but often involves both labor and time-intensive measurements.…”
To achieve a bio-based economy, it is necessary to consider variability within a feedstock population. We must understand the range of key phenotypic characteristics when selecting economically advantageous genotypes for domestication in an optimized supply chain. In this analysis we measured cell-wall composition traits in a large natural variant population of Populus trichocarpa. The results were combined with agronomic growth data from the matching genotype to conduct various techno-economic analyses, evaluating the impacts of physical and compositional variability and determining the ultimate phenotypic drivers for yield and economic metrics. Here we show that, although ethanol yield per land area per year and minimum fuel selling price were most strongly impacted by tree size, when considering the largest 25% of trees, size and carbohydrate content were nearly identical influences on minimal fuel selling price, highlighting the need to focus on both size and carbohydrate content in selecting economically optimal feedstocks.
“…The identification of the function of key genes for economic phenotypes allows either targeted genetic engineering or improved breeding by genomic selection 3 . High‐throughput pipelines have been developed that allow production of modified biomass targeting individual genes related to plant cell‐wall chemistry and anatomy 4,5 . These phenotypes require detailed analysis to determine which changes can be optimized for economically advantageous feedstock production.…”
Section: Introductionmentioning
confidence: 99%
“…3 High-throughput pipelines have been developed that allow production of modified biomass targeting individual genes related to plant cell-wall chemistry and anatomy. 4,5 These phenotypes require detailed analysis to determine which changes can be optimized for economically advantageous feedstock production. Cell-wall composition can be obtained through traditional wet chemistry methods but often involves both labor and time-intensive measurements.…”
To achieve a bio-based economy, it is necessary to consider variability within a feedstock population. We must understand the range of key phenotypic characteristics when selecting economically advantageous genotypes for domestication in an optimized supply chain. In this analysis we measured cell-wall composition traits in a large natural variant population of Populus trichocarpa. The results were combined with agronomic growth data from the matching genotype to conduct various techno-economic analyses, evaluating the impacts of physical and compositional variability and determining the ultimate phenotypic drivers for yield and economic metrics. Here we show that, although ethanol yield per land area per year and minimum fuel selling price were most strongly impacted by tree size, when considering the largest 25% of trees, size and carbohydrate content were nearly identical influences on minimal fuel selling price, highlighting the need to focus on both size and carbohydrate content in selecting economically optimal feedstocks.
“…One is the development of advanced pretreatment procedures to sufficiently deconstruct cell wall polymers and release moderate fermentable sugars entrapped (Holwerda et al., 2019; Sun et al., 2016). The other lies in the breeding of less recalcitrant bioenergy crops, which can be obtained through the genetic modification of plant cell wall compositions, or alternatively via the screening of natural germplasms or mutants induced by various physical and chemical mutagens (Gilna et al., 2017; Himmel et al., 2007; Kalluri et al., 2014). In this study, taking advantage of heavy‐ion irradiation, we successfully screened a Miscanthus mutant with a high lignocellulose saccharification efficiency without compromising biomass yield.…”
Section: Discussionmentioning
confidence: 99%
“…Genetic modification in bioenergy crops to produce less recalcitrant lignocellulosic biomass has attracted increasing attention and been successfully manipulated in several crops in the last decade (Gilna, Lynd, Mohnen, Davis, & Davison, 2017; Kalluri et al., 2014). For instance, downregulation of the expression of caffeic acid‐o‐methyltransferase (COMT) in switchgrass ( Panicum virgatum L.) leads to a significant reduction in lignin content and markedly improves the saccharification efficiency of lignocellulose (Fu et al., 2011).…”
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…Unfortunately, the crystalline nature of cellulose and the embedded connection with lignin in biomass leads to poor accessibility and weak degradation of cellulose during biomass processing [ 6 ]. Non-polysaccharide aromatic polymer lignin, poses significant resistance to microbial and enzymatic deconstruction [ 7 ]. Therefore, a selective and efficient pretreatment system and a hydrolysis process to make cellulose more accessible for conversion, are necessary to achieve efficient biomass utilization.…”
Background
Recent interest in Populus as a source of renewable energy, combined with its numerous available pretreatment methods, has enabled further research on structural modification and hydrolysis. To improve the biodegradation efficiency of biomass, a better understanding of the relationship between its macroscopic structures and enzymatic process is important.
Results
This study investigated mutant cell wall structures compared with wild type on a molecular level. Furthermore, a novel insight into the structural dynamics occurring on mutant biomass was assessed in situ and in real time by functional Atomic Force Microscopy (AFM) imaging. High-resolution AFM images confirmed that genetic pretreatment effectively inhibited the production of irregular lignin. The average roughness values of the wild type are 78, 60, and 30 nm which are much higher than that of the mutant cell wall, approximately 10 nm. It is shown that the action of endoglucanases would expose pure crystalline cellulose with more cracks for easier hydrolysis by cellobiohydrolase I (CBHI). Throughout the entire CBHI hydrolytic process, when the average roughness exceeded 3 nm, the hydrolysis mode consisted of a peeling action.
Conclusion
Functional AFM imaging is helpful for biomass structural characterization. In addition, the visualization of the enzymatic hydrolysis process will be useful to explore the cell wall structure–activity relationships.
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