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Biology subjects

Fido, M.

Publications and source records attributed to Fido, M..

3 recordsLinked to original sources

Comprehensive analysis of ammonia and biogenic amines in ecologically diverse systems with high-resolution mass spectrometry

The acquisition of sufficient nitrogen for growth, as well as the disposal of highly toxic nitrogen-containing degradation products, represent serious metabolic challenges in all multicellular organisms and microbial ecosystems. Understanding these processes requires a broadly applicable system to accurately quantify the concentration of a wide spectrum of biological amines and inorganic nitrogen-containing compounds. To date, this has been challenging due to limited specificity, selectivity, breadth and/or sensitivity of assays. Here we present a simple, optimized method based on liquid chromatography and high-resolution mass spectrometry, with an accompanying analysis pipeline, for the accurate quantification of more than 30 of these compounds, including ammonia. We demonstrate the effectiveness of this method in quantifying relevant nitrogen-containing compounds in mouse and human gut content, bacterial cultures, algal symbiosis in a cnidarian and freshwater ecosystem samples. As a proof-of-concept, we applied the method to study the influence of the gut microbiome on cecal nitrogen distribution in mice with different gnotobiotic microbiomes. This revealed a profound influence of gut microbiota composition on amino acid, ammonia, and amine concentrations in the upper large intestine. Overall, we provide a broadly applicable approach that can be used across microbial ecology fields to generate novel insights into the biology of nitrogen assimilation, exchange, and disposal.

microbiology↗

Real-time volatilomics reveals microbiota and pathogen fingerprints in the honey bee

Understanding the complex relationship between gut microbiota and their hosts often relies on invasive sampling techniques. Honey bees provide a tractable model for host-microbe studies. Here we establish single-bee volatilomics using secondary electrospray ionization (SESI-HRMS) to examine volatile organic compounds released to the air around an individual live honey bee. Specifically, we focused on primary gut microbiota metabolites present in gnotobiotic bees. Our findings reveal distinct volatilome profiles in honey bees that depend on their gut bacterial colonization state. We cross-validated our findings using an established metabolomics technique, LC-HRMS, to compare and contrast the metabolites detectable with each mass spectrometry-based method. Finally, we assessed the ability of SESI-HRMS to detect colonization with the bee pathogen S. marcescens. By comparing the volatile signature of this bacterium grown in liquid culture with that of infected honey bee headspace, we identified overlapping compounds, including butane-2,3-diol, that were absent in uninfected bees. SESI-HRMS volatilomics, paired with LC-HRMS, therefore has potential to identify non-invasive biomarkers of bee microbiome composition and infection at the level of individual insects. These biomarkers represent practical targets for the development of simple, field-ready diagnostic tools for monitoring pollinator health.

microbiology↗

LC-Inspector: a simple open-source viewer for targeted hyphenated mass spectrometry analysis

The ubiquitousness of hyphenated mass spectrometry techniques across life sciences has made researchers around the world aware of their analytical power. However, the analysis of high-complexity mass spectrometry data remains virtually impossible for non-specialists. LC-Inspector is a standalone graphical user interface application for straightforward analysis of targeted mass spectrometry data, distributed under the MIT license and available free of charge for Windows and MacOS. The user can upload and process the data entirely locally on their machine by specifying the desired mass-to-charge ratios of the targeted compound ions and simply clicking "Process". It allows for the processing of multiple files simultaneously, freely modifying and exporting graphs in real time, and calculating compound concentrations based on calibration standards. We show the versatility and applicability of LC-Inspector to different kinds of mass spectrometry data by analyzing a series of publicly available datasets from various samples recorded on instruments from multiple vendors and by different research teams.

bioinformatics↗