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A High-Throughput Platform for Screening Milligram Quantities of Plant Biomass for Lignocellulose Digestibility

Authors :
Sara E. Patterson
Shane L. Cantu
Carl Erik Tornqvist
Jonathan D. Walton
Jenny L. Bolivar
Nicholas Santoro
Markus Pauly
Tanya G. Falbel
Source :
BioEnergy Research. 3:93-102
Publication Year :
2010
Publisher :
Springer Science and Business Media LLC, 2010.

Abstract

The development of a viable lignocellulosic ethanol industry requires multiple improvements in the process of converting biomass to ethanol. A key step is the improvement of the plants that are to be used as biomass feedstocks. To facilitate the identification and evaluation of feedstock plants, it would be useful to have a method to screen large numbers of individual plants for enhanced digestibility in response to combinations of specific pretreatments and enzymes. This paper describes a high-throughput digestibility platform (HTDP) for screening collections of germplasm for improved digestibility, which was developed under the auspices of the Department of Energy-Great Lakes Bioenergy Research Center (DOE-GLBRC). A key component of this platform is a custom-designed workstation that can grind and dispense 1–5 mg quantities of more than 250 different plant tissue samples in 16 h. The other steps in the processing (pretreatment, enzyme digestion, and sugar analysis) have also been largely automated and require 36 h. The process is adaptable to diverse acidic and basic, low-temperature pretreatments. Total throughput of the HTDP is 972 independent biomass samples per week. Validation of the platform was performed on brown midrib mutants of maize, which are known to have enhanced digestibility. Additional validation was performed by screening approximately 1,200 Arabidopsis mutant lines with T-DNA insertions in genes known or suspected to be involved in cell wall biosynthesis. Several lines showed highly significant (p

Details

ISSN :
19391242 and 19391234
Volume :
3
Database :
OpenAIRE
Journal :
BioEnergy Research
Accession number :
edsair.doi...........2ccaf37f919cd7bad4eb28745d1fbbb9
Full Text :
https://doi.org/10.1007/s12155-009-9074-6