Published August 24, 2022 | Version v1
Journal article Open

Regulators of early maize leaf development inferred from transcriptomes of laser capture microdissection (LCM)-isolated embryonic leaf cells

  • 1. Academia Sinica
  • 2. Michigan State University
  • 3. National Chiayi University
  • 4. University of Chicago

Description

The superior photosynthetic efficiency of C4 leaves over C3 leaves is owing to their unique Kranz anatomy, in which the vein is surrounded by one layer of bundle sheath (BS) cells and one layer of mesophyll (M) cells. Kranz anatomy development starts from three contiguous ground meristem (GM) cells, but its regulators and underlying molecular mechanism are largely unknown. To identify the regulators, we obtained the transcriptomes of 11 maize embryonic leaf cell types from five stages of pre-Kranz cells starting from median GM cells and six stages of pre-M cells starting from undifferentiated cells. Principal component and clustering analyses of transcriptomic data revealed rapid pre-Kranz cell differentiation in the first two stages but slow differentiation in the last three stages, suggesting early Kranz cell fate determination. In contrast, pre-M cells exhibit a more prolonged transcriptional differentiation process. Differential gene expression and coexpression analyses identified gene coexpression modules, one of which included 3 auxin transporter and 18 transcription factor (TF) genes, including known regulators of Kranz anatomy and/or vascular development. In situ hybridization of 11 TF genes validated their expression in early Kranz development. We determined the binding motifs of 15 TFs, predicted TF target gene relationships among the 18 TF and 3 auxin transporter genes, and validated 67 predictions by electrophoresis mobility shift assay. From these data, we constructed a gene regulatory network for Kranz development. Our study sheds light on the regulation of early maize leaf development and provides candidate leaf development regulators for future study.

Data availability

Transcriptome data have been deposited in NCBI SRA (accession no. PRJNA831613) (62). All other data are included in the article and/or supporting information.

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Additional details

Identifiers

DOI
10.1073/pnas.2208795119
Other
oai:uchicago.tind.io:10422

Funding

Academia Sinica
AS-TP-109-L10
National Science Foundation
IOS-1546617
National Science Foundation
DEB-1655386
US Department of Energy
Great Lakes Bioenergy Research Center Grant

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Ecology and Evolution