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Liu Y, Ma X, Mao F, Qiu J, Bi J, Li X, Gu X, Zheng Y, Zhao Y. HMGR and CHS gene cloning, characterizations and tissue-specific expressions in Polygala tenuifolia Willd. PLoS One 2024; 19:e0300895. [PMID: 38527035 PMCID: PMC10962832 DOI: 10.1371/journal.pone.0300895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 03/03/2024] [Indexed: 03/27/2024] Open
Abstract
Triterpenoid saponins and flavonoids have several pharmacological activities against P. tenuifolia. The 3-hydroxy-3-methylglutaryl-CoA reductase (HMGR) and chalcone synthase (CHS) are the rate-limiting enzymes of triterpenoid saponin and flavonoid biosynthesis, respectively. In this study, HMGR and CHS genes were cloned from P. tenuifolia, and their bioinformatics analyses and tissue-specific expression were investigated. The results showed that the HMGR and CHS genes were successfully cloned, separately named the PtHMGR gene (NCBI accession: MK424118) and PtCHS gene (NCBI accession: MK424117). The PtHMGR gene is 2323 bp long, has an open reading frame (ORF) of 1782 bp, and encods 593 amino acids. The PtCHS gene is 1633 bp long with an ORF of 1170 bp, encoding 389 amino acids. PtHMGR and PtCHS were both hydrophobic, not signal peptides or secreted proteins, containing 10 conserved motifs. PtHMGR and PtCHS separately showed high homology with HMGR and CHS proteins from other species, and their secondary structures mainly included α-helix and random curl. The tertiary structure of PtHMGR was highly similarity to that the template 7ULI in RCSB PDB with 92.0% coverage rate. The HMG-CoA-binding domain of PtHMGR is located at 173-572 amino acid residues, including five bound sites. The tertiary structure of PtCHS showed high consistency with the template 1I86 in RCSB PDB with 100% coverage rate, contained malonyl CoA and 4-coumaroyl-CoA linkers. The expression of PtHMGR and PtCHS is tissue-specific. PtHMGR transcripts were mainly accumulated in roots, followed by leaves, and least in stems, and were significantly positively correlated with the contents of total saponin and tenuifolin. PtCHS was highly expressed in the stems, followed by the leaves, with low expression in the roots. PtCHS transcripts showed a significant positive correlation with total flavonoids content, however, they were significantly negatively correlated with the content of polygalaxanthone III (a type of flavonoids). This study provided insight for further revealing the roles of PtHMGR and PtCHS.
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Affiliation(s)
- Yang Liu
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
- Traditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, Shijiazhuang, Hebei Province, China
- International Joint Research Center on Resource Utilization and Quality Evaluation of Traditional Chinese Medicine of Hebei Province, Shijiazhuang, Hebei Province, China
| | - Xiaofang Ma
- Yinchuan Women and Children Health Care Hospital, Yinchuan, Ningxia, China
| | - Fuying Mao
- Experimental Center, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
| | - Jinmiao Qiu
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
| | - Jingyi Bi
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
| | - Xiaowei Li
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
| | - Xian Gu
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
| | - Yuguang Zheng
- Traditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, Shijiazhuang, Hebei Province, China
- Hebei Chemical and Pharmaceutical College, Shijiazhuang, Hebei Province, China
| | - Yunsheng Zhao
- College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, Hebei Province, China
- Traditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, Shijiazhuang, Hebei Province, China
- International Joint Research Center on Resource Utilization and Quality Evaluation of Traditional Chinese Medicine of Hebei Province, Shijiazhuang, Hebei Province, China
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Lucido A, Andrade F, Basallo O, Eleiwa A, Marin-Sanguino A, Vilaprinyo E, Sorribas A, Alves R. Modeling the effects of strigolactone levels on maize root system architecture. FRONTIERS IN PLANT SCIENCE 2024; 14:1329556. [PMID: 38273953 PMCID: PMC10808495 DOI: 10.3389/fpls.2023.1329556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024]
Abstract
Maize is the most in-demand staple crop globally. Its production relies strongly on the use of fertilizers for the supply of nitrogen, phosphorus, and potassium, which the plant absorbs through its roots, together with water. The architecture of maize roots is determinant in modulating how the plant interacts with the microbiome and extracts nutrients and water from the soil. As such, attempts to use synthetic biology and modulate that architecture to make the plant more resilient to drought and parasitic plants are underway. These attempts often try to modulate the biosynthesis of hormones that determine root architecture and growth. Experiments are laborious and time-consuming, creating the need for simulation platforms that can integrate metabolic models and 3D root growth models and predict the effects of synthetic biology interventions on both, hormone levels and root system architectures. Here, we present an example of such a platform that is built using Mathematica. First, we develop a root model, and use it to simulate the growth of many unique 3D maize root system architectures (RSAs). Then, we couple this model to a metabolic model that simulates the biosynthesis of strigolactones, hormones that modulate root growth and development. The coupling allows us to simulate the effect of changing strigolactone levels on the architecture of the roots. We then integrate the two models in a simulation platform, where we also add the functionality to analyze the effect of strigolactone levels on root phenotype. Finally, using in silico experiments, we show that our models can reproduce both the phenotype of wild type maize, and the effect that varying strigolactone levels have on changing the architecture of maize roots.
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Affiliation(s)
- Abel Lucido
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Fabian Andrade
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Oriol Basallo
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Abderrahmane Eleiwa
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Alberto Marin-Sanguino
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Ester Vilaprinyo
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Albert Sorribas
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
| | - Rui Alves
- Systems Biology Group, Department Ciències Mèdiques Bàsiques, Faculty of Medicine, Universitat de Lleida, Lleida, Spain
- Institut de Recerca Biomèdica de Lleida (IRBLleida), Lleida, Spain
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