•1 min read•from Frontiers in Marine Science | New and Recent Articles
Optimized lipid extraction and annotation pipeline customization for individual chitinous mesozooplankton using UPLC-HRMS
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High-resolution lipidomics at the individual mesozooplankton level offers valuable insights into marine trophic interactions and carbon cycling. This study presents an optimized Bligh and Dyer-based extraction protocol that enhances lipid recovery by 2.5 times through in-line glass bead homogenization. Coupled with a larger injection volume, signal intensity improves by 4.4 times, facilitating robust detection of intact lipids from single Calanus copepods. Additionally, we address annotation pipeline limitations by integrating a wax ester-specific fragmentation library, significantly enhancing the identification of marine-relevant lipid classes and advancing lipidomic

High-resolution lipidomics at the scale of individual mesozooplankton offers a powerful tool for understanding trophic interactions and carbon cycling in marine ecosystems, but chitinous exoskeletons present challenges for efficient lipid extraction. Here, we developed and validated an optimized Bligh and Dyer–based extraction protocol that incorporates in-line glass bead homogenization, yielding a 2.5-fold increase in lipid recovery and, when combined with an increased injection volume, a 4.4-fold gain in signal intensity. This workflow enables robust detection of intact lipid species from single Calanus copepods without additional homogenization equipment or extended extraction steps, making it broadly accessible for analytical applications. Furthermore, to address the limitations of current annotation pipelines, we compared adduct-hierarchy (LOBSTAHS) and fragmentation-based (MS-DIAL) approaches directly, finding systematic biases that reshape lipidomic profiles depending on the computational strategy employed. Additionally, by integrating a wax ester-specific fragmentation library, we demonstrated improved annotation of marine-relevant lipid classes largely absent from conventional databases. Together, this extraction and hybrid annotation pipeline enables high-resolution, compound-specific lipidomics of individual mesozooplankton, capturing biological heterogeneity while remaining scalable to pooled samples. Our approach provides a critical methodological advance for tracing lipid metabolism across trophic levels and for quantifying the role of mesozooplankton lipids in marine biogeochemical cycles.
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