Modified expression of ZmMYB167 in Brachypodium distachyon and Zea mays leads to increased cell wall lignin and phenolic content
One of the challenges to enable targeted modification of lignocellulosic biomass from grasses for improved biofuel and biochemical production lies within our limited understanding of the transcriptional control of secondary cell wall biosynthesis. Here, we investigated the role of the maize MYB tran...
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Published in | Scientific reports Vol. 9; no. 1; pp. 8800 - 12 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
19.06.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | One of the challenges to enable targeted modification of lignocellulosic biomass from grasses for improved biofuel and biochemical production lies within our limited understanding of the transcriptional control of secondary cell wall biosynthesis. Here, we investigated the role of the maize MYB transcription factor ZmMYB167 in secondary cell wall biosynthesis and how modified
ZmMYB167
expression in two distinct grass model species affects plant biomass and growth phenotypes. Heterologous expression of
ZmMYB167
in the C
3
model system
Brachypodium
led to mild dwarf phenotypes, increased lignin (~7% to 13%) and S-lignin monomer (~11% to 16%) content, elevated concentrations of cell wall-bound
p
-coumaric acid (~15% to 24%) and reduced biomass sugar release (~20%) compared to controls. Overexpression of
ZmMYB167
in the C
4
model system
Zea mays
increased lignin (~4% to 13%),
p
-coumaric acid (~8% to 52%) and ferulic acid (~13% to 38%) content but did not affect plant growth and development nor biomass recalcitrance. Taken together, modifying
ZmMYB167
expression represents a target to alter lignin and phenolic content in grasses. The
ZmMYB167
expression-induced discrepancies in plant phenotypic and biomass properties between the two grass model systems highlight the challenges and opportunities for MYB transcription factor-based genetic engineering approaches of grass biomass. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-019-45225-9 |