Cuticle development and the underlying transcriptome–metabolome associations during early seedling establishment

Author:

Chen Keting12ORCID,Bhunia Rupam Kumar3ORCID,Wendt Matthew M14,Campidilli Grace15,McNinch Colton6ORCID,Hassan Ahmed17,Li Ling8ORCID,Nikolau Basil J3469ORCID,Yandeau-Nelson Marna D12469ORCID

Affiliation:

1. Department of Genetics, Development & Cell Biology, Iowa State University , Ames, IA , USA

2. Bioinformatics & Computational Biology Graduate Program, Iowa State University , Ames, IA , USA

3. Roy J. Carver Department of Biochemistry, Biophysics & Molecular Biology, Iowa State University , Ames, IA , USA

4. Interdepartmental Genetics and Genomics Graduate Program, Iowa State University , Ames, IA , USA

5. Undergraduate Genetics Major, Iowa State University , Ames, IA , USA

6. Molecular, Cellular, and Developmental Biology Graduate Program, Iowa State University , Ames, IA , USA

7. Undergraduate Data Science Major, Iowa State University , Ames, IA , USA

8. Department of Biological Sciences, Mississippi State University , Mississippi State, MS , USA

9. Center for Metabolic Biology, Iowa State University , Ames, IA , USA

Abstract

Abstract The plant cuticle is a complex extracellular lipid barrier that has multiple protective functions. This study investigated cuticle deposition by integrating metabolomics and transcriptomics data gathered from six different maize seedling organs of four genotypes, the inbred lines B73 and Mo17, and their reciprocal hybrids. These datasets captured the developmental transition of the seedling from heterotrophic skotomorphogenic growth to autotrophic photomorphogenic growth, a transition that is highly vulnerable to environmental stresses. Statistical interrogation of these data revealed that the predominant determinant of cuticle composition is seedling organ type, whereas the seedling genotype has a smaller effect on this phenotype. Gene-to-metabolite associations assessed by integrated statistical analyses identified three gene networks associated with the deposition of different elements of the cuticle: cuticular waxes; monomers of lipidized cell wall biopolymers, including cutin and suberin; and both of these elements. These gene networks reveal three metabolic programs that appear to support cuticle deposition, including processes of chloroplast biogenesis, lipid metabolism, and molecular regulation (e.g. transcription factors, post-translational regulators, and phytohormones). This study demonstrates the wider physiological metabolic context that can determine cuticle deposition and lays the groundwork for new targets for modulating the properties of this protective barrier.

Funder

The NSF

United States Department of Energy

Publisher

Oxford University Press (OUP)

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