Comparative transcriptome study of the elongating internode in elephant grass (Cenchrus purpureus) seedlings in response to exogenous gibberellin applications

Qi, Yan; Li, Jie; Lu, Liyan; Yi, Xianfeng; Yao, Na; Liu, Zhiqiang; Zhang, Jiyu

doi:10.1016/j.indcrop.2022.114653

Cited by 12 publications

(9 citation statements)

References 52 publications

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“…Cell proliferation occurs throughout the entire primordium during the first phase and generates new cells, the size of which is nearly stable and small. Cell proliferation can be improved with nuclear division and mitotic nuclear division [ 30 ]. When cell division in the developing leaves has ceased, further growth is primarily accomplished through cell expansion, leading to a significant increase in cell size in the second phase.…”

Section: Gas Regulate Leaf Developmentmentioning

confidence: 99%

“…Recent research has shown that GA 3 is correlated with the enhancement of indole acetic acid (IAA) and zeatin (ZR), and to reduced abscisic acid (ABA). At the same time, the expression levels of genes related to hormone metabolism and signaling were substantially changed through a phytohormone analysis [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

“…Understanding GA homeostasis at the molecular level may be enhanced by locating and controlling regulatory hubs, such as transcription factors (TFs), that regulate numerous enzymatic steps of GA metabolic pathways [ 25 ]. The investigation of TFs in regulating GA biosynthesis has also been reported [ 25 , 30 ]. For example, HDZIP5/8 is correlated with GA2ox , and HDZIP3/6 with GID1 , to improve internode elongation [ 30 ], and SGD2 / OsHOX3 mediates GA biosynthesis by reducing the GA 1 level in the sgd2 mutant [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…The investigation of TFs in regulating GA biosynthesis has also been reported [ 25 , 30 ]. For example, HDZIP5/8 is correlated with GA2ox , and HDZIP3/6 with GID1 , to improve internode elongation [ 30 ], and SGD2 / OsHOX3 mediates GA biosynthesis by reducing the GA 1 level in the sgd2 mutant [ 25 ]. Therefore, studies of the relationships among GA signal transduction, gene regulation, and GA modulation during various leaf development stages could elucidate the underlying molecular mechanisms and advance our understanding to reveal novel avenues for improving agricultural yields.…”

Section: Introductionmentioning

confidence: 99%

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The Roles of Gibberellins in Regulating Leaf Development

Ritonga

Zhou

Zhang

et al. 2023

Plants

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Plant growth and development are correlated with many aspects, including phytohormones, which have specific functions. However, the mechanism underlying the process has not been well elucidated. Gibberellins (GAs) play fundamental roles in almost every aspect of plant growth and development, including cell elongation, leaf expansion, leaf senescence, seed germination, and leafy head formation. The central genes involved in GA biosynthesis include GA20 oxidase genes (GA20oxs), GA3oxs, and GA2oxs, which correlate with bioactive GAs. The GA content and GA biosynthesis genes are affected by light, carbon availability, stresses, phytohormone crosstalk, and transcription factors (TFs) as well. However, GA is the main hormone associated with BR, ABA, SA, JA, cytokinin, and auxin, regulating a wide range of growth and developmental processes. DELLA proteins act as plant growth suppressors by inhibiting the elongation and proliferation of cells. GAs induce DELLA repressor protein degradation during the GA biosynthesis process to control several critical developmental processes by interacting with F-box, PIFS, ROS, SCLl3, and other proteins. Bioactive GA levels are inversely related to DELLA proteins, and a lack of DELLA function consequently activates GA responses. In this review, we summarized the diverse roles of GAs in plant development stages, with a focus on GA biosynthesis and signal transduction, to develop new insight and an understanding of the mechanisms underlying plant development.

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Section: Gas Regulate Leaf Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Roles of Gibberellins in Regulating Leaf Development

Ritonga

Zhou

Zhang

et al. 2023

Plants

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“…However, interferences on hub nodes may lead to severe product alterations (Crombach and Hogeweg 2008), making them targets for genetic studies. Additionally, hub genes appear to be associated with a variety of biological processes (Tahmasebi et al 2019; Hollender et al 2014;Zheng et al 2022;Hu et al 2017) and had been mentioned as potential targets for the molecular breeding of forage species (Yan et al 2022). In the present study, we consider the problem of reconstructing the interplay among biomolecules and narrowing down high-dimensional omics data to fewer hub features to further test their association with quantitative traits evaluated in family pools of allopolyploid grasses.…”

Section: Introductionmentioning

confidence: 99%

Genetic architecture of inter-specific and -generic grass hybrids by network analysis on multi-omics data

Bornhofen

Fè

Nagy

et al. 2022

Preprint

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Understanding the mechanisms underlining forage production and its biomass nutritive quality at the omics level is crucial for boosting the output of high-quality dry matter per unit of land. Despite the advent of multiple omics integration for the study of biological systems in major crops, investigations on forage species are still scarce. Therefore, this study aimed to combine multi-omics from grass hybrids by prioritizing omic features based on the reconstruction of interacting networks and assessing their relevance in explaining economically important phenotypes. Transcriptomic and NMR-based metabolomic data were used for sparse estimation via the fused graphical lasso, followed by modularity-based gene expression and metabolite-metabolite network reconstruction, node hub identification, omic-phenotype association via pairwise fitting of a multivariate genomic model, and machine learning-based prediction study. Analyses were jointly performed across two data sets composed of family pools of hybrid ryegrass (Lolium perenne x L. multiflorum) and Festulolium loliaceum (L. perenne x Festuca pratensis), whose phenotypes were recorded for eight traits in field trials across two European countries in 2020/21. Our results suggest substantial changes in gene co-expression and metabolite-metabolite network topologies as a result of genetic perturbation by hybridizing L. perenne with another species within the genus relative to across genera. However, conserved hub genes and hub metabolomic features were detected between pedigree classes, some of which were highly heritable and displayed one or more significant edges with agronomic traits in a weighted omics-phenotype network. In spite of tagging relevant biological molecules as, for example, the light-induced rice 1 (LIR1), hub features were not necessarily better explanatory variables for omics-assisted prediction than features stochastically sampled. The use of the graphical lasso method for network reconstruction and identification of biological targets is discussed with an emphasis on forage grass breeding.

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