Growth and metabolism of Beauveria bassiana spores and mycelia
Open accessAbstract
BACKGROUND: Fungi are ubiquitous in nature and have evolved over time to colonize a wide range of ecosystems including pest control. To date, most research has focused on the hypocrealean genera Beauveria bassiana, which is a typical filamentous fungus with a high potential for insect control. The morphology and components of fungi are important during the spores germination and outgrow to mycelia. However, to the best of our knowledge, there is no report on the morphology and components of B. bassiana spores and mycelia. In the work, the growth and metabolism of Beauveria bassiana spores and mycelia were studied. High performance liquid chromatography-mass spectrometry (HPLC-MS) was employed to study the metabolism of B. bassiana spores and mycelia. Principal component analysis (PCA) based on HPLC-MS was conducted to study the different components of the spores and mycelia of the fungus. Metabolic network was established based on HPLC-MS and KEGG database. RESULTS: Through Gompertz model based on macroscopic and microscopic techniques, spore elongation length was found to increase exponentially until approximately 23.1 h after cultivation, and then growth became linear. In the metabolic network, the decrease of glyoxylate, pyruvate, fumarate, alanine, succinate, oxaloacetate, dihydrothymine, ribulose, acetylcarnitine, fructose-1, 6-bisphosphate, mycosporin glutamicol, and the increase of betaine, carnitine, ergothioneine, sphingosine, dimethyl guanosine, glycerophospholipids, and in spores indicated that the change of the metabolin can keep spores in inactive conditions, protect spores against harmful effects and survive longer. CONCLUSIONS: Analysis of the metabolic pathway in which these components participate can reveal the metabolic difference between spores and mycelia, which provide the tools for understand and control the process of of spores germination and outgrow to mycelia.
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In M. tuberculosis and other mycobacteria, other actinobacteria and fungi, ERG can have a role as an antioxidant and act as a buffer against reductive stress.
“In M. tuberculosis and other mycobacteria(254), and also in other actinobacteria(255) and in fungi(247,256,257), it is clear that ERG can have a role as an antioxidant(66,258–260) and also act as a buffer against reductive stress(261).”
From The biology of ergothioneine, an antioxidant nutraceutical (2020) · cites this paper as [256]
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- Authors
- Liu, H., Zhao, X., Guo, M., Liu, H., & Zheng, Z.
- Affiliations
- Chinese Academy of Sciences (CN)
- Luoyang Normal University (CN)
- Corresponding author
- Zheng, Zhiming
- Venue
- BMC Microbiology
- Published
- 2015-11-19
- Volume
- 15
- Issue
- 1
- Pages
- 267-267
- ISSN
- 1471-2180 (ISSN-L)
- PMC
- PMC4652391
- OpenAlex
- W2180697261
- Cited by
- 49
- References
- 49
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 8 · 2018: 2 · 2017: 5 · 2016: 2
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Microbiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Anhui Province (2014AA021704, 1308085MA07)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Entomopathogenic Microorganisms in Pest Control
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Insect and Pesticide Research
- Health Sciences › Medicine › Pharmacology › Microbial Natural Products and Biosynthesis
- Keywords
- Beauveria bassiana, spore germination, mycelial growth, fungal metabolism, spore morphology, metabolic networks, Gompertz model, insect pathogenic fungi, spore dormancy, metabolite profiling
- MeSH terms
- Chromatography, Liquid, Mass Spectrometry, Spores, Fungal, Mycelium, Principal Component Analysis, Beauveria, Metabolic Networks and Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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