Testone Giulio, Baldoni Elena, Iannelli M Adelaide, Nicolodi Chiara, Di Giacomo Elisabetta, Pietrini Fabrizio, Mele Giovanni, Giannino Donato, Frugis Giovanna
Istituto di Biologia e Biotecnologia Agraria (IBBA), Operative Unit of Rome, Consiglio Nazionale delle Ricerche (CNR), Via Salaria Km. 29,300, 00015 Monterotondo Scalo (Roma), Italy.
Istituto di Biologia e Biotecnologia Agraria (IBBA), Consiglio Nazionale delle Ricerche (CNR), Via Bassini 15, 20133 Milano, Italy.
Plants (Basel). 2019 Nov 21;8(12):531. doi: 10.3390/plants8120531.
is a leafy crop closely related to that comprises two major botanical varieties characterized by a high degree of intraspecific morphological variation: var. with broad leaves (escarole) and var. with narrow crisp curly leaves (endive). To investigate the relationship between leaf morphology and photosynthetic activity, escaroles and endives were used as a crop model due to the striking morphological diversity of their leaves. We constructed a leaf database for transcription factors (TFs) and photosynthesis-related genes from a refined transcriptome and used RNA-seq transcriptomic data from leaves of four commercial endive and escarole cultivars to explore transcription factor regulatory networks. Cluster and gene co-expression network (GCN) analyses identified two main anticorrelated modules that control photosynthesis. Analysis of the GCN network topological properties identified known and novel hub genes controlling photosynthesis, and candidate developmental genes at the boundaries between shape and function. Differential expression analysis between broad and curly leaves suggested three novel TFs putatively involved in leaf shape diversity. Physiological analysis of the photosynthesis properties and gene expression studies on broad and curly leaves provided new insights into the relationship between leaf shape and function.
是一种与 密切相关的叶菜类作物,它包含两个主要的植物变种,其特点是种内形态变异程度高:阔叶变种(苦苣)和窄叶脆卷叶变种(菊苣)。为了研究叶片形态与光合活性之间的关系,由于苦苣和菊苣叶片形态差异显著,因此将它们用作作物模型。我们从精细的 转录组构建了一个转录因子(TFs)和光合作用相关基因的叶片数据库,并使用来自四个商业菊苣和苦苣品种叶片的RNA-seq转录组数据来探索转录因子调控网络。聚类和基因共表达网络(GCN)分析确定了控制光合作用的两个主要反相关模块。对GCN网络拓扑特性的分析确定了控制光合作用的已知和新的枢纽基因,以及形状和功能边界处的候选发育基因。阔叶和卷叶之间的差异表达分析表明,有三个新的TFs可能参与叶片形状多样性。对阔叶和卷叶的光合作用特性进行生理分析以及基因表达研究,为叶片形状与功能之间的关系提供了新的见解。