4.8 Article

Anatomical and transcriptional dynamics of maize embryonic leaves during seed germination

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1301009110

Keywords

plant leaf development; plant hormones; gene expression profiling

Funding

  1. Academia Sinica [AS-101-SS-A08, AS-102-SS-A13]
  2. National Science Council (Taiwan) [NSC-100-2917-I-564-053, NSC 99-2321-B-001-041-MY2]
  3. Direct For Biological Sciences
  4. Div Of Molecular and Cellular Bioscience [1119778] Funding Source: National Science Foundation
  5. Division Of Integrative Organismal Systems
  6. Direct For Biological Sciences [1126998] Funding Source: National Science Foundation

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Our anatomical analysis revealed that a dry maize seed contains four to five embryonic leaves at different developmental stages. Rudimentary kranz structure (KS) is apparent in the first leaf with a substantial density, but its density decreases toward younger leaves. Upon imbibition, leaf expansion occurs rapidly with new KSs initiated from the palisade-like ground meristem cells in the middle of the leaf. In parallel to the anatomical analysis, we obtained the time course transcriptomes for the embryonic leaves in dry and imbibed seeds every 6 h up to hour 72. Over this time course, the embryonic leaves exhibit transcripts of 30,255 genes at a level that can be regarded as expressed. In dry seeds, similar to 25,500 genes are expressed, showing functional enrichment in transcription, RNA processing, protein synthesis, primary metabolic pathways, and calcium transport. During the 72-h time course, similar to 13,900 genes, including 590 transcription factor genes, are differentially expressed. Indeed, by 30 h postimbibition, similar to 2,200 genes expressed in dry seeds are already down-regulated, and similar to 2,000 are upregulated. Moreover, the top 1% expressed genes at 54 h or later are very different from those before 30 h, reflecting important developmental and physiological transitions. Interestingly, clusters of genes involved in hormone metabolism, signaling, and responses are differentially expressed at various time points and TF gene expression is also modular and stage specific. Our dataset provides an opportunity for hypothesizing the timing of regulatory actions, particularly in the context of KS development.

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