The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Rhamnolipid Biosurfactants as New Players in Animal and Plant Defense against Microbes
Open accessAbstract
Rhamnolipids are known as very efficient biosurfactant molecules. They are used in a wide range of industrial applications including food, cosmetics, pharmaceutical formulations and bioremediation of pollutants. The present review provides an overview of the effect of rhamnolipids in animal and plant defense responses. We describe the current knowledge on the stimulation of plant and animal immunity by these molecules, as well as on their direct antimicrobial properties. Given their ecological acceptance owing to their low toxicity and biodegradability, rhamnolipids have the potential to be useful molecules in medicine and to be part of alternative strategies in order to reduce or replace pesticides in agriculture.
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Cites
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Cited by
Ulvan: A systematic review of extraction, composition and function
Kidgell, J. T., Magnusson, M., de Nys, R., & Glasson, C. R. K. (2019) · Algal Research · doi:10.1016/j.algal.2019.101422 · Cited by 666
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Metadata
- Authors
- Vatsa, P., Sanchez, L., Clement, C., Baillieul, F., & Dorey, S.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2010-12-09
- Volume
- 11
- Issue
- 12
- Pages
- 5095-5108
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2071249034
- Cited by
- 255
- References
- 45
- FWCI
- 10.55
- Type
- journal article
- Language
- en
- Open access
- gold
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- Vatsa, P., Sanchez, L., Clement, C., Baillieul, F., & Dorey, S. (2010). Rhamnolipid Biosurfactants as New Players in Animal and Plant Defense against Microbes. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms11125095
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
