TY - JOUR

T1 - Transcript and metabolite profiling for the evaluation of tobacco tree and poplar as feedstock for the bio-based industry

AU - Ruprecht, Colin

AU - Tohge, Takayuki

AU - Fernie, Alisdair

AU - Mortimer, Cara L.

AU - Kozlo, Amanda

AU - Fraser, Paul D.

AU - Funke, Norma

AU - Cesarino, Igor

AU - Vanholme, Ruben

AU - Boerjan, Wout

AU - Morreel, Kris

AU - Burgert, Ingo

AU - Gierlinger, Notburga

AU - Bulone, Vincent

AU - Schneider, Vera

AU - Stockero, Andrea

AU - Navarro, Juan Pedro

AU - Pudel, Frank

AU - Tambuyser, Bart

AU - Hygate, James

AU - Bumstead, Jon

AU - Notley, Louis

AU - Persson, Staffan

PY - 2014

Y1 - 2014

N2 - The global demand for food, feed, energy and water poses extraordinary challenges for future generations. It is evident that robust platforms for the exploration of renewable resources are necessary to overcome these challenges. Within the multinational framework MultiBioPro we are developing biorefinery pipelines to maximize the use of plant biomass. More specifically, we use poplar and tobacco tree (Nicotiana glauca) as target crop species for improving saccharification, isoprenoid, long chain hydrocarbon contents, fiber quality, and suberin and lignin contents. The methods used to obtain these outputs include GC-MS, LC-MS and RNA sequencing platforms. The metabolite pipelines are well established tools to generate these types of data, but also have the limitations in that only well characterized metabolites can be used. The deep sequencing will allow us to include all transcripts present during the developmental stages of the tobacco tree leaf, but has to be mapped back to the sequence of Nicotiana tabacum. With these set-ups, we aim at a basic understanding for underlying processes and at establishing an industrial framework to exploit the outcomes. In a more long term perspective, we believe that data generated here will provide means for a sustainable biorefinery process using poplar and tobacco tree as raw material. To date the basal level of metabolites in the samples have been analyzed and the protocols utilized are provided in this article.

AB - The global demand for food, feed, energy and water poses extraordinary challenges for future generations. It is evident that robust platforms for the exploration of renewable resources are necessary to overcome these challenges. Within the multinational framework MultiBioPro we are developing biorefinery pipelines to maximize the use of plant biomass. More specifically, we use poplar and tobacco tree (Nicotiana glauca) as target crop species for improving saccharification, isoprenoid, long chain hydrocarbon contents, fiber quality, and suberin and lignin contents. The methods used to obtain these outputs include GC-MS, LC-MS and RNA sequencing platforms. The metabolite pipelines are well established tools to generate these types of data, but also have the limitations in that only well characterized metabolites can be used. The deep sequencing will allow us to include all transcripts present during the developmental stages of the tobacco tree leaf, but has to be mapped back to the sequence of Nicotiana tabacum. With these set-ups, we aim at a basic understanding for underlying processes and at establishing an industrial framework to exploit the outcomes. In a more long term perspective, we believe that data generated here will provide means for a sustainable biorefinery process using poplar and tobacco tree as raw material. To date the basal level of metabolites in the samples have been analyzed and the protocols utilized are provided in this article.

KW - Arabidopsis

KW - Biomass

KW - Biorefining

KW - Botany

KW - Cell walls

KW - Environmental Sciences

KW - Isoprenoids

KW - Issue 87

KW - Lignin

KW - Long-chain hydrocarbons

KW - Nicotiana glauca

KW - Plants

KW - Poplar

KW - Suberin

KW - Systems biology

KW - Tobacco tree

U2 - 10.3791/51393

DO - 10.3791/51393

M3 - Journal article

AN - SCOPUS:84940217509

JO - Journal of Visualized Experiments

JF - Journal of Visualized Experiments

SN - 1940-087X

IS - 87

M1 - e51393

ER -