Network analyses identify a transcriptomic proximodistal prepattern in the maize leaf primordium
© 2020 The Authors New Phytologist © 2020 New Phytologist Foundation.
| Veröffentlicht in: | The New phytologist. - 1979. - 230(2021), 1 vom: 06. Apr., Seite 218-227 |
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| 1. Verfasser: | |
| Weitere Verfasser: | , , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | The New phytologist |
| Schlagworte: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. auricle boundary leaf ligule maize network Plant Proteins |
| Zusammenfassung: | © 2020 The Authors New Phytologist © 2020 New Phytologist Foundation. The formation of developmental boundaries is a common feature of multicellular plants and animals, and impacts the initiation, structure and function of all organs. Maize leaves comprise a proximal sheath that encloses the stem, and a distal photosynthetic blade that projects away from the plant axis. An epidermally derived ligule and a joint-like auricle develop at the blade/sheath boundary of maize leaves. Mutations disturbing the ligule/auricle region disrupt leaf patterning and impact plant architecture, yet it is unclear how this developmental boundary is established. Targeted microdissection followed by transcriptomic analyses of young leaf primordia were utilized to construct a co-expression network associated with development of the blade/sheath boundary. Evidence is presented for proximodistal gradients of gene expression that establish a prepatterned transcriptomic boundary in young leaf primordia, before the morphological initiation of the blade/sheath boundary in older leaves. This work presents a conceptual model for spatiotemporal patterning of proximodistal leaf domains, and provides a rich resource of candidate gene interactions for future investigations of the mechanisms of blade/sheath boundary formation in maize |
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| Beschreibung: | Date Completed 14.05.2021 Date Revised 14.05.2021 published: Print-Electronic Citation Status MEDLINE |
| ISSN: | 1469-8137 |
| DOI: | 10.1111/nph.17132 |