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Zhang X, Wu C, Guo Y, Ren X, Meng Y, Gao Q, Zhang F, Wang Y, Guo J. Genome-Wide Analysis Elucidates the Roles of GhTIR1/ AFB Genes Reveals the Function of Gh_D08G0763 ( GhTIR1) in Cold Stress in G. hirsutum. Plants (Basel) 2024; 13:1152. [PMID: 38674561 PMCID: PMC11055017 DOI: 10.3390/plants13081152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024]
Abstract
This study identified 13 GhTIR1/AFB members in G. hirsutum through bioinformatics methods and divided them into three subgroups by phylogenetic tree analysis. Motif and gene structure analysis showed that the genes in this family were highly conserved. Promoter cis-acting element analysis found that the promoters of GhTIR1/AFBs contained a large number of cis-acting elements in response to growth and development and abiotic stress. Further RT-qPCR results showed that GhTIR1/AFB genes responded to various abiotic stresses such as IAA, ABA, cold, and heat, and the expression levels of each gene changed obviously, especially Gh_D08G0763 (GhTIR1), which responded significantly to cold injury. Using VIGS (virus-induced gene silencing) technology to silence Gh_D08G0763 in the cold-tolerant cotton variety ZM36, it was found that the resistance of ZM36 to cold damage was significantly reduced. The physiological response mechanism of the Gh_D08G0763 in resisting cold damage was further analyzed through trypan blue staining of leaves and determination of enzyme activity levels. This study provided effective genetic resources for cotton cold-tolerance breeding.
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Affiliation(s)
- Xianliang Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (X.Z.); (X.R.); (Y.M.); (Q.G.); (F.Z.)
- Western Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Changji 831100, China
| | - Cuicui Wu
- Institute of Cotton Research, Shanxi Agricultural University, Yuncheng 044000, China;
| | - Yutao Guo
- Institute of Plant Stress Biology, State Key Laboratory of Cotton Biology, Henan University, Kaifeng 475000, China;
| | - Xiang Ren
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (X.Z.); (X.R.); (Y.M.); (Q.G.); (F.Z.)
| | - Yongming Meng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (X.Z.); (X.R.); (Y.M.); (Q.G.); (F.Z.)
- Western Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Changji 831100, China
| | - Qi Gao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (X.Z.); (X.R.); (Y.M.); (Q.G.); (F.Z.)
- Western Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Changji 831100, China
| | - Fei Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (X.Z.); (X.R.); (Y.M.); (Q.G.); (F.Z.)
| | - Yaping Wang
- Sanya Institute of Henan University, Sanya 572025, China;
| | - Jinggong Guo
- Institute of Plant Stress Biology, State Key Laboratory of Cotton Biology, Henan University, Kaifeng 475000, China;
- Sanya Institute of Henan University, Sanya 572025, China;
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Sun C, Ha Y, Liu X, Wang N, Lian XY, Zhang Z. Isolation and Structure Elucidation of New Metabolites from the Mariana-Trench-Associated Fungus Aspergillus sp. SY2601. Molecules 2024; 29:459. [PMID: 38257372 PMCID: PMC10819015 DOI: 10.3390/molecules29020459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/07/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Fungi are important resource for the discovery of novel bioactive natural products. This study investigated the metabolites produced by Mariana-Trench-associated fungus Aspergillus sp. SY2601 in EY liquid and rice solid media, resulting in the isolation and structure determination of 28 metabolites, including five new compounds, asperindopiperazines A-C (1-3), 5-methoxy-8,9-dihydroxy-8,9-deoxyaspyrone (21), and 12S-aspertetranone D (26). Structures of the new compounds were elucidated based on extensive NMR spectral analyses, HRESIMS data, optical rotation, ECD, and 13C NMR calculations. The new compound 12S-aspertetranone D (26) exhibited antibacterial activity against both methicillin-resistant Staphylococcus aureus and Escherichia coli with MIC values of 3.75 and 5 μg/mL, respectively.
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Affiliation(s)
- Cangzhu Sun
- Ocean College, Zhoushan Campus, Zhejiang University, Zhoushan 316021, China; (C.S.); (Y.H.); (X.L.)
| | - Yura Ha
- Ocean College, Zhoushan Campus, Zhejiang University, Zhoushan 316021, China; (C.S.); (Y.H.); (X.L.)
| | - Xin Liu
- Ocean College, Zhoushan Campus, Zhejiang University, Zhoushan 316021, China; (C.S.); (Y.H.); (X.L.)
| | - Nan Wang
- Ocean College, Zhoushan Campus, Zhejiang University, Zhoushan 316021, China; (C.S.); (Y.H.); (X.L.)
- Hainan Institute of Zhejiang University, Sanya 572025, China
| | - Xiao-Yuan Lian
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China;
| | - Zhizhen Zhang
- Ocean College, Zhoushan Campus, Zhejiang University, Zhoushan 316021, China; (C.S.); (Y.H.); (X.L.)
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Tan D, Guo T, Luo H, Ji B, Tao Y, Li A. Dynamic Threshold Cable-Stayed Bridge Health Monitoring System Based on Temperature Effect Correction. Sensors (Basel) 2023; 23:8826. [PMID: 37960528 PMCID: PMC10648320 DOI: 10.3390/s23218826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 10/24/2023] [Accepted: 10/26/2023] [Indexed: 11/15/2023]
Abstract
The early health warning of a cable-stayed bridge is of great significance for discovering the abnormal condition of the structure, eliminating the risk factors, and ensuring the normal operation of the bridge in order to set a reasonable safety monitoring threshold to ensure the safety warning and condition assessment of the bridge structure. A method of dynamic early warning by considering the temperature effect is adopted in this paper on the basis of the benchmark threshold. Based on the long-term deflection monitoring data of a bridge in Wuhan, the generalized Pareto distribution (GPD) extreme value analysis theory is used to set the benchmark threshold. Then, by constructing the seasonal autoregressive integrated moving average (SARIMA) long-span bridge temperature effect prediction model, the reference threshold is dynamically adjusted. Finally, it is compared with the traditional fixed threshold monitoring system. The results show that the dynamic threshold has stronger adaptability to the monitoring of cable-stayed bridges and can also achieve effective monitoring of local mutations in other periods. Dynamic threshold early warning can reduce the shortcomings of traditional early warning methods such as underreporting and misreporting. At the same time, the GPD extreme value analysis theory overcomes the disadvantage that the extreme value information is not fully utilized. It has an important application value for bridge health monitoring.
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Affiliation(s)
- Dongmei Tan
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
| | - Tai Guo
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
| | - Hao Luo
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
| | - Baifeng Ji
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
- Hainan Institute, Wuhan University of Technology, Sanya 572000, China
| | - Yu Tao
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
| | - An Li
- School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China; (D.T.); (T.G.); (H.L.); (Y.T.); (A.L.)
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