Identification of novel factors that increase enzymatic saccharification efficiency in Arabidopsis wood cells

Autor: Tomoko Matsumoto, Ayumi Ihara, Arika Takebayashi, Ryoko Hiroyama, Vasagi Ramachandran, Taku Demura, Takuya Tokumoto, Nobuyuki Nishikubo, Misato Ohtani
Rok vydání: 2017
Předmět:
Zdroj: Plant Biotechnology. 34:203-206
ISSN: 1347-6114
1342-4580
DOI: 10.5511/plantbiotechnology.17.1107a
Popis: Developing methods to efficiently convert lignocellulosic polymers, i.e. cellulose, hemicellulose, and lignin into user-friendly carbon resources, such as fermentable sugars, is critical for improving plant biomass utilization. Here, we report the identification of genes that increase enzymatic saccharification efficiency in cultured Arabidopsis wood cells. We overexpressed a set of genes that were upregulated during the early stages of in vitro xylem vessel cell differentiation, including transcription factor and CAZYme genes, in Arabidopsis and tested their effects on enzymatic saccharification efficiency. Of the 96 transgenic seedlings sampled, 37 and 17 lines showed significant increases and decreases in glucose yields, respectively. Further analysis of 20 overexpression lines with high glucose yields in seedling samples indicated that compared to wild type, the glucose and xylose yields from inflorescence stem samples were higher in lines overexpressing genes encoding BETA-XYLOSIDASE 2, UDP-GLUCOSYL TRANSFERASE 88A1, AT3G15350 (a class GT14 glycosyltransferase protein), and the Dof-type transcription factor Dof4.6, whose detailed molecular functions have not yet been characterized. No apparent defect in growth or inflorescence stem structure was detected in these overexpression lines. Therefore, these four genes might represent novel factors that can be used to increase saccharification efficiency in wood tissues without negatively affecting total biomass production. Furthermore, our results confirm the validity of our screening strategy for isolating factors related to the saccharification efficiency of lignocellulosic biomass.
Databáze: OpenAIRE