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Ramarajan M, Devilla R, Dow L, Walsh N, Mead O, Zakeel MC, Gallart M, Richardson AE, Thatcher LF. Genomic and Untargeted Metabolomic Analysis of Secondary Metabolites in the Streptomyces griseoaurantiacus Strain MH191 Shows Media-Based Dependency for the Production of Bioactive Compounds with Potential Antifungal Activity. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:24432-24448. [PMID: 39440812 PMCID: PMC11544706 DOI: 10.1021/acs.jafc.4c04989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 10/10/2024] [Accepted: 10/11/2024] [Indexed: 10/25/2024]
Abstract
Streptomyces species can form beneficial relationships with hosts as endophytes, including the phytopathogen-inhibiting strain, Streptomyces griseoaurantiacusMH191, isolated from wheat plants. Using genomic characterization and untargeted metabolomics, we explored the capacity of strain MH191 to inhibit a range of fungal phytopathogens through the production of secondary metabolites. Complete genome assembly of strain MH191 predicted 24 biosynthetic gene clusters. Secondary metabolite production was assessed following culture on six different media, with the detection of 205 putative compounds. Members of the manumycin family, undecylprodigiosin, and desferrioxamine were identified as the predominant metabolites. Antifungal activity was validated for undecylprodigiosin and manumycin. These compounds were produced from different BGCs, which showed similarity to asukamycin, undecylprodigiosin, and FW0622 gene clusters, respectively. The growth of strain MH191 on different media illustrated the metabolic regulation of these gene clusters and the strain's extended chemical potential, with the asukamycin gene cluster alone, producing a variety of antifungal metabolites. The study highlights the extended chemical capability of strain MH191, which could be exploited as a biological control agent for designing future crop protection solutions.
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Affiliation(s)
- Margaret Ramarajan
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
| | - Rosangela Devilla
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
| | - Lachlan Dow
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
- CSIRO
Microbiomes for One Systems Health Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
| | - Ned Walsh
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
- CSIRO
Microbiomes for One Systems Health Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
| | - Oliver Mead
- CSIRO
Environment, PO Box 1700, Acton, ACT, Canberra 2601, Australia
- CSIRO
Advanced Engineering Biology Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
| | | | - Marta Gallart
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
- CSIRO
Advanced Engineering Biology Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
| | - Alan E. Richardson
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
- CSIRO
Microbiomes for One Systems Health Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
| | - Louise F. Thatcher
- CSIRO
Agriculture and Food, PO Box 1700, Acton, ACT, Acton 2601, Australia
- CSIRO
Microbiomes for One Systems Health Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
- CSIRO
Advanced Engineering Biology Future Science Platform, PO Box 1700, Acton, ACT, Canberra 2601, Australia
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Zhou F, Gao Y, Liu M, Xu L, Wu X, Zhao X, Zhang X. Bacterial Inhibition on Beauveria bassiana Contributes to Microbiota Stability in Delia antiqua. Front Microbiol 2021; 12:710800. [PMID: 34690955 PMCID: PMC8527029 DOI: 10.3389/fmicb.2021.710800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 09/01/2021] [Indexed: 02/01/2023] Open
Abstract
Given the multiple roles of associated microbiota in improving animal host fitness in a microbial environment, increasing numbers of researchers have focused on how the associated microbiota keeps stable under complex environmental factors, especially some biological ones. Recent studies show that associated microbiota interacts with pathogenic microbes. However, whether and how the interaction would influence microbiota stability is limitedly investigated. Based on the interaction among Delia antiqua, its associated microbiota, and one pathogen Beauveria bassiana, the associated microbiota's response to the pathogen was determined in this study. Besides, the underlying mechanism for the response was also preliminarily investigated. Results showed that B. bassiana neither infect D. antiqua larvae nor did it colonize inside the associated microbiota, and both the bacterial and fungal microbiota kept stable during the interaction. Further experiments showed that bacterial microbiota almost completely inhibited conidial germination and mycelial growth of B. bassiana during its invasion, while fungal microbiota did not inhibit conidial germination and mycelial growth of B. bassiana. According to the above results, individual dominant bacterial species were isolated, and their inhibition on conidial germination and mycelial growth of B. bassiana was reconfirmed. Thus, these results indicated that bacterial instead of fungal microbiota blocked B. bassiana conidia and stabilized the associated microbiota of D. antiqua larvae during B. bassiana invasion. The findings deepened the understanding of the role of associated microbiota–pathogen microbe interaction in maintaining microbiota stability. They may also contribute to the development of novel biological control agents and pest management strategies.
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Affiliation(s)
- Fangyuan Zhou
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
| | - Yunxiao Gao
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
| | - Mei Liu
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
| | - Letian Xu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, China
| | - Xiaoqing Wu
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
| | - Xiaoyan Zhao
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
| | - Xinjian Zhang
- Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute, Qilu University of Technology (Shandong Academy of Sciences), Ji'nan, China
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