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Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
Published on: October 8, 2021
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Silica particles with encapsulated DNA as trophic tracers
C A Mora1, D Paunescu, R N Grass
1Department of Chemistry and Applied Biosciences, Institute for Chemical- and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093, Zurich, Switzerland.
Molecular Ecology Resources
|July 1, 2014
Summary
New DNA-tagged silica particles (SPED) accurately track animal transfers in food webs. This method simplifies ecological network analysis and quantifies interactions across trophic levels.
Area of Science:
- Ecology
- Environmental Science
- Molecular Biology
Background:
- Ecological networks, like food webs, are crucial for ecosystem health but difficult to study.
- Current methods struggle to directly observe and quantify predator-prey interactions and trophic links.
Purpose of the Study:
- To introduce and validate submicron-sized silica particles with encapsulated DNA (SPED) as a novel tool for ecological network analysis.
- To demonstrate SPED's capability for accurate organism labeling and quantifying animal-to-animal transfer across trophic levels.
Main Methods:
- Development of submicron-sized silica particles (100-150 nm) encapsulating DNA (SPED).
- Application of uniquely labeled SPED in a two-level arthropod food chain to track transfer.
- Quantification of SPED abundance using real-time PCR after trophic transfer.
- Testing SPED for analyzing pollinator flower preference.
Main Results:
- SPED were effectively transferred and quantified across a two-level arthropod food chain.
- SPED were persistent within animals for several days after ingestion.
- Relative abundance information of SPED was reliably conserved after trophic transfer and over time.
- SPED provided a fast and accurate method for assessing pollinator behavior.
Conclusions:
- SPED offer a robust method for labeling and quantifying animal transfers in ecological networks.
- SPED combine unique labeling, quantification, and backtracking capabilities, simplifying ecological monitoring.
- This technology enhances the study of complex food webs and ecological interactions.

