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Cofactome analyses reveal enhanced flux of carbon into oil for potential biofuel production
Author(s) -
Hayden Daniel M.,
Rolletschek Hardy,
Borisjuk Ljudmilla,
Corwin Jason,
Kliebenstein Daniel J.,
Grimberg Asa,
Stymne Sten,
Dehesh Katayoon
Publication year - 2011
Publication title -
the plant journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.058
H-Index - 269
eISSN - 1365-313X
pISSN - 0960-7412
DOI - 10.1111/j.1365-313x.2011.04654.x
Subject(s) - starch , carbon fibers , transcriptome , biofuel , biology , biochemistry , chemistry , computational biology , food science , gene , gene expression , microbiology and biotechnology , materials science , composite number , composite material
Summary To identify the underlying molecular basis of carbon partitioning between starch and oil we conducted 454 pyrosequencing, followed by custom microarrays to profile gene expression throughout endosperm development, of two closely related oat cultivars that differ in oil content at the expense of starch as determined by several approaches including non‐invasive magnetic resonance imaging. Comparative transcriptome analysis in conjunction with metabolic profiling displays a close coordination between energy metabolism and carbon partitioning pathways, with increased demands for energy and reducing equivalents in kernels with a higher oil content. These studies further expand the repertoire of networks regulating carbon partitioning to those involved in metabolism of cofactors, suggesting that an elevated supply of cofactors, here called cofactomes, contribute to the allocation of higher carbon pools for production of oils and storage proteins. These data highlight a close association between cofactomes and carbon partitioning, thereby providing a biotechnological target for conversion of starch to oil.