Nature CommunicationsPlant BiologyPeer-reviewed journal article
A transcription factor quintet orchestrating bundle sheath expression in rice
Lei HuaiD, Na WangiD, Susan StanleyiD, Ruth M. DonaldiD, Satish Kumar Eeda, Kumari BillakurthiiD, Ana Rita BorbaiD, Julian M. HibberdiD
Abstract
C4 photosynthesis has evolved in over sixty plant lineages and improves photosynthetic efficiency by [~]50%. One unifying character of C4 plants is photosynthetic activation of a compartment such as the bundle sheath, but gene regulatory networks controlling this cell type are poorly understood. In Arabidopsis a bipartite MYC-MYB transcription factor module restricts gene expression to these cells but in grasses the regulatory logic allowing bundle sheath gene expression has not been defined. Using the global staple and C3 crop rice we identified the SULFITE REDUCTASE promoter as sufficient for strong bundle sheath expression. This promoter encodes an intricate cis-regulatory logic with multiple activators and repressors acting combinatorially. Within this landscape we identified a distal enhancer activated by a quintet of transcription factors from the WRKY, G2-like, MYB-related, IDD and bZIP families. This module is necessary and sufficient to pattern gene expression to the rice bundle sheath. Oligomerisation of the enhancer and fusion to core promoters containing Y-patches allowed activity to be increased 220-fold. This enhancer generates bundle sheath-specific expression in Arabidopsis indicating deep conservation in function between monocotyledons and dicotyledons. In summary, we identify an ancient, short, and tuneable enhancer patterning expression to the bundle sheath that we anticipate will be useful for engineering this cell type in various crop species.
- organism: plant (other)
- assay: DNA methylation
- assay: proteomics
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: transcription & RNA processing
- approach: experimental assay
- approach: statistical model
- Citations
- 11
- FWCI
- 4.45
- Field percentile
- top 5%
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