scholarly journals MiRNA Identification, Characterization and Integrated Network Analysis for Flavonoid Biosynthesis in Brassicacoraphanus

Author(s):  
Libin Zhang ◽  
Heng Xia ◽  
Jiangsheng Wu ◽  
Maoteng Li
BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yong Shi ◽  
Heng Xia ◽  
Xiaoting Cheng ◽  
Libin Zhang

AbstractBackgroundOsmanthus fragransis an important economical plant containing multiple secondary metabolites including flavonoids and anthocyanins. During the past years, the roles of miRNAs in regulating the biosynthesis of secondary metabolites in plants have been widely investigated. However, few studies on miRNA expression profiles and the potential roles in regulating flavonoid biosynthesis have been reported inO. fragrans.ResultsIn this study, we used high-throughput sequencing technology to analyze the expression profiles of miRNAs in leaf and flower tissues ofO. fragrans. As a result, 106 conserved miRNAs distributed in 47 families and 88 novel miRNAs were identified. Further analysis showed there were 133 miRNAs differentially expressed in leaves and flowers. Additionally, the potential target genes of miRNAs as well as the related metabolic pathways were predicted. In the end, flavonoid content was measured in flower and leaf tissues and potential role of miR858 in regulating flavonoid synthesis was illustrated inO. fragrans.ConclusionsThis study not only provided the genome-wide miRNA profiles in the flower and leaf tissue ofO. fragrans, but also investigated the potential regulatory role of miR858a in flavonoid synthesis inO. fragrans. The results specifically indicated the connection of miRNAs to the regulation of secondary metabolite biosynthesis in non-model economical plant.


2019 ◽  
Vol 116 (16) ◽  
pp. 8018-8027 ◽  
Author(s):  
Joel D. Hahn ◽  
Olaf Sporns ◽  
Alan G. Watts ◽  
Larry W. Swanson

Control of multiple life-critical physiological and behavioral functions requires the hypothalamus. Here, we provide a comprehensive description and rigorous analysis of mammalian intrahypothalamic network architecture. To achieve this at the gray matter region (macroscale) level, macroscale connection (macroconnection) data for the rat hypothalamus were extracted from the primary literature. The dataset indicated the existence of 7,982 (of 16,770 possible) intrahypothalamic macroconnections. Network analysis revealed that the intrahypothalamic macroconnection network (its macroscale subconnectome) is divided into two identical top-level subsystems (or subnetworks), each composed of two nested second-level subsystems. At the top-level, this suggests a deeply integrated network; however, regional grouping of the two second-level subsystems suggested a partial separation between control of physiological functions and behavioral functions. Furthermore, inclusion of four candidate hubs (dominant network nodes) in the second-level subsystem that is associated prominently with physiological control suggests network primacy with respect to this function. In addition, comparison of network analysis with expression of gene markers associated with inhibitory (GAD65) and excitatory (VGLUT2) neurotransmission revealed a significant positive correlation between measures of network centrality (dominance) and the inhibitory marker. We discuss these results in relation to previous understandings of hypothalamic organization and provide, and selectively interrogate, an updated hypothalamus structure–function network model to encourage future hypothesis-driven investigations of identified hypothalamic subsystems.


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