| Literature DB >> 33146745 |
Liyong Sun1, Zheng Jiang1, Ye Ju1, Xuan Zou1, Xiaoxia Wan1, Yao Chen1, Zengfang Yin2.
Abstract
The floral transition is a critical developmental switch in plants, and has profound effects on the flower production and yield. Magnolia × soulangeana 'Changchun' is known as a woody ornamental plant, which can bloom in spring and summer, respectively. In this study, anatomical observation, physiological measurement, transcriptome, and small RNA sequencing were performed to investigate potential endogenous regulatory mechanisms underlying floral transition in 'Changchun'. Transition of the shoot apical meristem from vegetative to reproductive growth occurred between late April and early May. During this specific developmental process, a total of 161,645 unigenes were identified, of which 73,257 were significantly differentially expressed, while a number of these two categories of miRNAs were 299 and 148, respectively. Further analysis of differentially expressed genes (DEGs) revealed that gibberellin signaling could regulate floral transition in 'Changchun' in a DELLA-dependent manner. In addition, prediction and analysis of miRNA targeted genes suggested that another potential molecular regulatory module was mediated by the miR172 family and other several novel miRNAs (Ms-novel_miR139, Ms-novel_miR229, and Ms-novel_miR232), with the participation of up- or down-regulating genes, including MsSVP, MsAP2, MsTOE3, MsAP1, MsGATA6, MsE2FA, and MsMDS6. Through the integrated analysis of mRNA and miRNA, our research results will facilitate the understanding of the potential molecular mechanism underlying floral transition in 'Changchun', and also provide basic experimental data for the plant germplasm resources innovation in Magnolia.Entities:
Keywords: Floral induction; Gibberellin signaling; Integrated analysis; Magnolia × soulangeana ‘Changchun’; Molecular regulatory pathways; miRNA
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Year: 2020 PMID: 33146745 DOI: 10.1007/s00438-020-01740-3
Source DB: PubMed Journal: Mol Genet Genomics ISSN: 1617-4623 Impact factor: 3.291