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Published on: December 14, 2017
NanoSIP: NanoSIMS Applications for Microbial Biology
Jennifer Pett-Ridge1, Peter K Weber2
1Lawrence Livermore National Lab, Physical and Life Science Directorate, Livermore, CA, USA. pettridge2@llnl.gov.
Secondary Ion Mass Spectrometry (SIMS) coupled with stable isotope probing (nanoSIP-nanoSIMS) quantifies microbial assimilation and elemental stoichiometry. Recent advances enhance its application in systems biology and environmental science.
Area of Science:
- Systems biology
- Environmental biogeochemistry
- Microbial ecology
Background:
- Secondary Ion Mass Spectrometry (nanoSIMS) is a key tool for analyzing microbial traits, metabolic processes, and symbioses.
- nanoSIMS combined with stable isotope probing (nanoSIP) quantifies assimilation rates and stoichiometry in diverse environments.
- Previous nanoSIP studies primarily focused on carbon and nitrogen metabolism.
Purpose of the Study:
- To provide an updated description of nanoSIP-nanoSIMS methods.
- To highlight recent advancements and applications of nanoSIMS in microbial and environmental studies.
- To discuss key methodological steps, potential pitfalls, and future directions.
Main Methods:
- High-resolution nanoSIMS imaging combined with stable isotope labeling (15N, 13C).
- Advancements include high-brightness oxygen ion source for metal analysis.
- New preparation methods, automated data extraction, and enhanced sensitivity/resolution analytical approaches.
Main Results:
- nanoSIP-nanoSIMS enables quantification of net assimilation and stoichiometry at the single-cell level.
- High-resolution metal analysis is now more accessible.
- Characterization of diverse populations from marine archaea to viruses is improved.
- Integration with orthogonal imaging and 'omics approaches links function to identity and gene expression.
Conclusions:
- nanoSIP-nanoSIMS is a powerful, evolving technique for microbial and environmental research.
- Recent advances expand its scope to metal analysis and complex biological systems.
- Correlative approaches significantly enhance the depth of biological insights.
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