The integration of leaf-derived signals sets the timing of vegetative phase change in maize, a process coordinated by epigenetic remodeling

• Published in: Plant science (Limerick) Vol. 312; p. 111035
• Main Authors: Osadchuk, Krista, Cheng, Chi-Lien, Irish, Erin E.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2021
• Subjects: Epigenetics; Hormones; Leaf-derived signaling; Stress; Sugar; VPC; APETALA2; FIE; VPC; SWN; Hormones; SAGA; Stress; LHP; Epigenetics; Leaf-derived signaling; CLF; Sugar; BMI; EMF
• ISSN: 0168-9452; 1873-2259
• DOI: 10.1016/j.plantsci.2021.111035

After germination, the maize shoot proceeds through a series of developmental stages before flowering. The first transition occurs during the vegetative phase where the shoot matures from the juvenile to the adult phase, called vegetative phase change (VPC). In maize, both phases exhibit easily-scored morphological characteristics, facilitating the elucidation of molecular mechanisms directing the characteristic gene expression patterns and resulting physiological features of each phase. miR156 expression is high during the juvenile phase, suppressing expression of squamosa promoter binding proteins/SBP-like transcription factors and miR172. The decline in miR156 and subsequent increase in miR172 expression marks the transition into the adult phase, where miR172 represses transcripts that confer juvenile traits. Leaf-derived signals attenuate miR156 expression and thus the duration of the juvenile phase. As found in other species, VPC in maize utilizes signals that consist of hormones, stress, and sugar to direct epigenetic modifiers. In this review we identify the intersection of leaf-derived signaling with components that contribute to the epigenetic changes which may, in turn, manage the distinct global gene expression patterns of each phase. In maize, published research regarding chromatin remodeling during VPC is minimal. Therefore, we identified epigenetic regulators in the maize genome and, using published gene expression data and research from other plant species, identify VPC candidates.